DHIS2 Documentation Team

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Last update: 2022-01-31
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The Web API is a component which makes it possible for external systems to access and manipulate data stored in an instance of DHIS2. More precisely, it provides a programmatic interface to a wide range of exposed data and service methods for applications such as third-party software clients, web portals and internal DHIS2 modules.
The Web API adheres to many of the principles behind the REST architectural style. To mention some few and important ones:
The fundamental building blocks are referred to as resources. A resource can be anything exposed to the Web, from a document to a business process - anything a client might want to interact with. The information aspects of a resource can be retrieved or exchanged through resource representations. A representation is a view of a resource's state at any given time. For instance, the reportTable resource in DHIS2 represents a tabular report of aggregated data for a certain set of parameters. This resource can be retrieved in a variety of representation formats including HTML, PDF, and MS Excel.
All resources can be uniquely identified by a URI (also referred to as URL). All resources have a default representation. You can indicate that you are interested in a specific representation by supplying an Accept HTTP header, a file extension or a format query parameter. So in order to retrieve the PDF representation of a report table you can supply an Accept: application/pdf header or append .pdf or ?format=pdf to your request URL.
Interactions with the API requires the correct use of HTTP methods or verbs. This implies that for a resource you must issue a GET request when you want to retrieve it, POST request when you want to create one, PUT when you want to update it and DELETE when you want to remove it. So if you want to retrieve the default representation of a report table you can send a GET request to e.g. /reportTable/iu8j/hYgF6t, where the last part is the report table identifier.
Resource representations are linkable, meaning that representations advertise other resources which are relevant to the current one by embedding links into itself (please be aware that you need to request href in your field filter to have this working. This feature greatly improves the usability and robustness of the API as we will see later. For instance, you can easily navigate to the indicators which are associated with a report table from the reportTable resource through the embedded links using your preferred representation format.
While all of this might sound complicated, the Web API is actually very simple to use. We will proceed with a few practical examples in a minute.
The DHIS2 Web API supports two protocols for authentication, Basic Authentication and OAuth 2. You can verify and get information about the currently authenticated user by making a GET request to the following URL:
/api/33/me
And more information about authorities (and if a user has a certain authority) by using the endpoints:
/api/33/me/authorities
/api/33/me/authorities/ALL
The DHIS2 Web API supports Basic authentication. Basic authentication is a technique for clients to send login credentials over HTTP to a web server. Technically speaking, the username is appended with a colon and the password, Base64-encoded, prefixed Basic and supplied as the value of the Authorization HTTP header. More formally that is:
Authorization: Basic base64encode(username:password)
Most network-aware development environments provide support for Basic authentication, such as Apache HttpClient and Spring RestTemplate. An important note is that this authentication scheme provides no security since the username and password are sent in plain text and can be easily observed by an attacker. Using Basic is recommended only if the server is using SSL/TLS (HTTPS) to encrypt communication with clients. Consider this a hard requirement in order to provide secure interactions with the Web API.
DHIS2 supports two-factor authentication. This can be enabled per user. When enabled, users will be asked to enter a 2FA code when logging in. You can read more about 2FA here.
DHIS2 supports the OAuth2 authentication protocol. OAuth2 is an open standard for authorization which allows third-party clients to connect on behalf of a DHIS2 user and get a reusable bearer token for subsequent requests to the Web API. DHIS2 does not support fine-grained OAuth2 roles but rather provides applications access based on user roles of the DHIS2 user.
Each client for which you want to allow OAuth 2 authentication must be registered in DHIS2. To add a new OAuth2 client go to Apps > Settings > OAuth2 Clients in the user interface, click Add new and enter the desired client name and the grant types.
An OAuth2 client can be added through the Web API. As an example, we can send a payload like this:
{
"name": "OAuth2 Demo Client",
"cid": "demo",
"secret": "1e6db50c-0fee-11e5-98d0-3c15c2c6caf6",
"grantTypes": ["password", "refresh_token", "authorization_code"],
"redirectUris": ["http://www.example.org"]
}
The payload can be sent with the following command:
SERVER="https://play.dhis2.org/dev"
curl -X POST -H "Content-Type: application/json" -d @client.json
-u admin:district "$SERVER/api/oAuth2Clients"
We will use this client as the basis for our next grant type examples.
The simplest of all grant types is the password grant type. This grant type is similar to basic authentication in the sense that it requires the client to collect the user's username and password. As an example we can use our demo server:
SERVER="https://play.dhis2.org/dev"
SECRET="1e6db50c-0fee-11e5-98d0-3c15c2c6caf6"
curl -X POST -H "Accept: application/json" -u demo:$SECRET "$SERVER/uaa/oauth/token"
-d grant_type=password -d username=admin -d password=district
This will give you a response similar to this:
{
"expires_in": 43175,
"scope": "ALL",
"access_token": "07fc551c-806c-41a4-9a8c-10658bd15435",
"refresh_token": "a4e4de45-4743-481d-9345-2cfe34732fcc",
"token_type": "bearer"
}
For now, we will concentrate on the access_token, which is what we will use as our authentication (bearer) token. As an example, we will get all data elements using our token:
SERVER="https://play.dhis2.org/dev"
curl -H "Authorization: Bearer 07fc551c-806c-41a4-9a8c-10658bd15435" "$SERVER/api/33/dataElements.json"
In general the access tokens have limited validity. You can have a look at the expires_in property of the response in the previous example to understand when a token expires. To get a fresh access_token you can make another round trip to the server and use refresh_token which allows you to get an updated token without needing to ask for the user credentials one more time.
SERVER="https://play.dhis2.org/dev"
SECRET="1e6db50c-0fee-11e5-98d0-3c15c2c6caf6"
REFRESH_TOKEN="a4e4de45-4743-481d-9345-2cfe34732fcc"
curl -X POST -H "Accept: application/json" -u demo:$SECRET "$SERVER/uaa/oauth/token"
-d "grant_type=refresh_token" -d "refresh_token=$REFRESH_TOKEN"
The response will be exactly the same as when you get a token to start with.
Authorized code grant type is the recommended approach if you don't want to store the user credentials externally. It allows DHIS2 to collect the username/password directly from the user instead of the client collecting them and then authenticating on behalf of the user. Please be aware that this approach uses the redirectUris part of the client payload.
Step 1: Visit the following URL using a web browser. If you have more than one redirect URIs, you might want to add &redirect_uri=http://www.example.org to the URL:
SERVER="https://play.dhis2.org/dev"
$SERVER/uaa/oauth/authorize?client_id=demo&response_type=code
Step 2: After the user has successfully logged in and accepted your client access, it will redirect back to your redirect uri like this:
http://www.example.org/?code=XYZ
Step 3: This step is similar to what we did in the password grant type, using the given code, we will now ask for an access token:
SERVER="https://play.dhis2.org/dev"
SECRET="1e6db50c-0fee-11e5-98d0-3c15c2c6caf6"
curl -X POST -u demo:$SECRET -H "Accept: application/json" $SERVER/uaa/oauth/token
-d "grant_type=authorization_code" -d "code=XYZ"
The Web API uses a consistent format for all error/warning and informational messages:
{
"httpStatus": "Forbidden",
"message": "You don't have the proper permissions to read objects of this type.",
"httpStatusCode": 403,
"status": "ERROR"
}
Here we can see from the message that the user tried to access a resource I did not have access to. It uses the http status code 403, the http status message forbidden and a descriptive message.
| Name | Description |
|---|---|
| httpStatus | HTTP Status message for this response, see RFC 2616 (Section 10) for more information. |
| httpStatusCode | HTTP Status code for this response, see RFC 2616 (Section 10) for more information. |
| status | DHIS2 status, possible values are OK | WARNING | ERROR, where `OK` means everything was successful, `ERROR` means that operation did not complete and `WARNING` means the operation was partially successful, if the message contains a `response` property, please look there for more information. |
| message | A user-friendly message telling whether the operation was a success or not. |
| devMessage | A more technical, developer-friendly message (not currently in use). |
| response | Extension point for future extension to the WebMessage format. This will be documented when it starts being used. |
Throughout the Web API, we refer to dates and periods. The date format is:
yyyy-MM-dd
For instance, if you want to express March 20, 2014, you must use 2014-03-20.
The period format is described in the following table (also available on the API endpoint /api/periodTypes)
| Interval | Format | Example | Description |
|---|---|---|---|
| Day | yyyyMMdd | 20040315 | March 15, 2004 |
| Week | yyyyWn | 2004W10 | Week 10 2004 |
| Week Wednesday | yyyyWedWn | 2015WedW5 | Week 5 with start Wednesday |
| Week Thursday | yyyyThuWn | 2015ThuW6 | Week 6 with start Thursday |
| Week Saturday | yyyySatWn | 2015SatW7 | Week 7 with start Saturday |
| Week Sunday | yyyySunWn | 2015SunW8 | Week 8 with start Sunday |
| Bi-week | yyyyBiWn | 2015BiW1 | Week 1-2 20015 |
| Month | yyyyMM | 200403 | March 2004 |
| Bi-month | yyyyMMB | 200401B | January-February 2004 |
| Quarter | yyyyQn | 2004Q1 | January-March 2004 |
| Six-month | yyyySn | 2004S1 | January-June 2004 |
| Six-month April | yyyyAprilSn | 2004AprilS1 | April-September 2004 |
| Year | yyyy | 2004 | 2004 |
| Financial Year April | yyyyApril | 2004April | Apr 2004-Mar 2005 |
| Financial Year July | yyyyJuly | 2004July | July 2004-June 2005 |
| Financial Year Oct | yyyyOct | 2004Oct | Oct 2004-Sep 2005 |
In some parts of the API, like for the analytics resource, you can utilize relative periods in addition to fixed periods (defined above). The relative periods are relative to the current date and allow e.g. for creating dynamic reports. The available relative period values are:
THIS_WEEK, LAST_WEEK, LAST_4_WEEKS, LAST_12_WEEKS, LAST_52_WEEKS,
THIS_MONTH, LAST_MONTH, THIS_BIMONTH, LAST_BIMONTH, THIS_QUARTER, LAST_QUARTER,
THIS_SIX_MONTH, LAST_SIX_MONTH, MONTHS_THIS_YEAR, QUARTERS_THIS_YEAR,
THIS_YEAR, MONTHS_LAST_YEAR, QUARTERS_LAST_YEAR, LAST_YEAR, LAST_5_YEARS, LAST_12_MONTHS,
LAST_3_MONTHS, LAST_6_BIMONTHS, LAST_4_QUARTERS, LAST_2_SIXMONTHS, THIS_FINANCIAL_YEAR,
LAST_FINANCIAL_YEAR, LAST_5_FINANCIAL_YEARS
This section provides an explanation of the identifier scheme concept. Identifier schemes are used to map metadata objects to other metadata during import, and to render metadata as part of exports. Please note that not all schemes work for all API calls, and not all schemes can be used for both input and output. This is outlined in the sections explaining the various Web APIs.
The full set of identifier scheme object types available are listed below, using the name of the property to use in queries:
idScheme
dataElementIdScheme
categoryOptionComboIdScheme
orgUnitIdScheme
programIdScheme
programStageIdScheme
trackedEntityIdScheme
trackedEntityAttributeIdScheme
The general idScheme applies to all types of objects. It can be overridden by specific object types.
The default scheme for all parameters is UID (stable DHIS2 identifiers). The supported identifier schemes are described in the table below.
| Scheme | Description |
|---|---|
| ID, UID | Match on DHIS2 stable Identifier, this is the default id scheme. |
| CODE | Match on DHIS2 Code, mainly used to exchange data with an external system. |
| NAME | Match on DHIS2 Name, please note that this uses what is available as object.name, and not the translated name. Also note that names are not always unique, and in that case, they can not be used. |
| ATTRIBUTE:ID | Match on metadata attribute, this attribute needs to be assigned to the type you are matching on, and also that the unique property is set to true. The main usage of this is also to exchange data with external systems, it has some advantages over CODE since multiple attributes can be added, so it can be used to synchronize with more than one system. |
Note that identifier schemes is not an independent feature but needs to be used in combination with resources such as data value import and metadata import.
As an example, to specify CODE as the general id scheme and override with UID for organisation unit id scheme you can use these query parameters:
?idScheme=CODE&orgUnitIdScheme=UID
As another example, to specify an attribute for the organisation unit id scheme, code for the data element id scheme and use the default UID id scheme for all other objects you can use these parameters:
?orgUnitIdScheme=ATTRIBUTE:j38fk2dKFsG&dataElementIdScheme=CODE
The entry point for browsing the Web API is /api. This resource provides links to all available resources. Four resource representation formats are consistently available for all resources: HTML, XML, JSON, and JSONP. Some resources will have other formats available, like MS Excel, PDF, CSV, and PNG. To explore the API from a web browser, navigate to the /api entry point and follow the links to your desired resource, for instance /api/dataElements. For all resources which return a list of elements certain query parameters can be used to modify the response:
| Param | Option values | Default option | Description |
|---|---|---|---|
| paging | true | false | true | Indicates whether to return lists of elements in pages. |
| page | number | 1 | Defines which page number to return. |
| pageSize | number | 50 | Defines the number of elements to return for each page. |
| order | property:asc/iasc/desc/idesc | Order the output using a specified order, only properties that are both persisted and simple (no collections, idObjects etc) are supported. iasc and idesc are case insensitive sorting. |
An example of how these parameters can be used to get a full list of data element groups in XML response format is:
/api/dataElementGroups.xml?links=false&paging=false
You can query for elements on the name property instead of returning a full list of elements using the query query variable. In this example we query for all data elements with the word "anaemia" in the name:
/api/dataElements?query=anaemia
You can get specific pages and page sizes of objects like this:
/api/dataElements.json?page=2&pageSize=20
You can completely disable paging like this:
/api/indicatorGroups.json?paging=false
To order the result based on a specific property:
/api/indicators.json?order=shortName:desc
You can find an object based on its ID across all object types through the identifiableObjects resource:
/api/identifiableObjects/<id>
DHIS2 supports translations of database content, such as data elements, indicators, and programs. All metadata objects in the Web API have properties meant to be used for display / UI purposes, which include displayName, displayShortName and displayDescription.
| Parameter | Values | Description |
|---|---|---|
| translate | true | false | Translate display* properties in metadata output (displayName, displayShortName, displayDescription, and displayFormName for data elements). Default value is true. |
| locale | Locale to use | Translate metadata output using a specified locale (requires translate=true). |
The translations for an object is rendered as part of the object itself in the translations array. Note that the translations array in the JSON/XML payloads is normally pre-filtered for you, which means they can not directly be used to import/export translations (as that would normally overwrite locales other than current users).
Example of data element with translation array filtered on user locale:
{
"id": "FTRrcoaog83",
"displayName": "Accute French",
"translations": [
{
"property": "SHORT_NAME",
"locale": "fr",
"value": "Accute French"
},
{
"property": "NAME",
"locale": "fr",
"value": "Accute French"
}
]
}
Example of data element with translations turned off:
{
"id": "FTRrcoaog83",
"displayName": "Accute Flaccid Paralysis (Deaths < 5 yrs)",
"translations": [
{
"property": "FORM_NAME",
"locale": "en_FK",
"value": "aa"
},
{
"property": "SHORT_NAME",
"locale": "en_GB",
"value": "Accute Flaccid Paral"
},
{
"property": "SHORT_NAME",
"locale": "fr",
"value": "Accute French"
},
{
"property": "NAME",
"locale": "fr",
"value": "Accute French"
},
{
"property": "NAME",
"locale": "en_FK",
"value": "aa"
},
{
"property": "DESCRIPTION",
"locale": "en_FK",
"value": "aa"
}
]
}
Note that even if you get the unfiltered result, and are using the appropriate type endpoint i..e /api/dataElements we do not allow updates, as it would be too easy to make mistakes and overwrite the other available locales.
To read and update translations you can use the special translations endpoint for each object resource. These can be accessed by GET or PUT on the appropriate /api/<object-type>/<object-id>/translations endpoint.
As an example, for a data element with identifier FTRrcoaog83, you could use /api/dataElements/FTRrcoaog83/translations to get and update translations. The fields available are property with options NAME, SHORT_NAME, DESCRIPTION, locale which supports any valid locale ID and the translated property value.
Example of NAME property for French locale:
{
"property": "NAME",
"locale": "fr",
"value": "Paralysie Flasque Aiguë (Décès <5 ans)"
}
This payload would then be added to a translation array, and sent back to the appropriate endpoint:
{
"translations": [
{
"property": "NAME",
"locale": "fr",
"value": "Paralysie Flasque Aiguë (Décès <5 ans)"
}
]
}
For a data element with ID FTRrcoaog83 you can PUT this to /api/dataElements/FTRrcoaog83/translations. Make sure to send all translations for the specific object and not just for a single locale (if not you will potentially overwrite existing locales for other locales).
The Web API is versioned starting from DHIS 2.25. The API versioning follows the DHIS2 major version numbering. As an example, the API version for DHIS 2.33 is 33.
You can access a specific API version by including the version number after the /api component, as an example like this:
/api/33/dataElements
If you omit the version part of the URL, the system will use the current API version. As an example, for DHIS 2.25, when omitting the API part, the system will use API version 25. When developing API clients it is recommended to use explicit API versions (rather than omitting the API version), as this will protect the client from unforeseen API changes.
The last three API versions will be supported. As an example, DHIS version 2.27 will support API version 27, 26 and 25.
Note that the metadata model is not versioned and that you might experience changes e.g. in associations between objects. These changes will be documented in the DHIS2 major version release notes.
To filter the metadata there are several filter operations that can be applied to the returned list of metadata. The format of the filter itself is straight-forward and follows the pattern property:operator:value, where property is the property on the metadata you want to filter on, operator is the comparison operator you want to perform and value is the value to check against (not all operators require value). Please see the schema section to discover which properties are available. Recursive filtering, ie. filtering on associated objects or collection of objects, is supported as well.
| Operator | Types | Value required | Description |
|---|---|---|---|
| eq | string | boolean | integer | float | enum | collection (checks for size) | date | true | Equality |
| !eq | string | boolean | integer | float | enum | collection (checks for size) | date | true | Inequality |
| ne | string | boolean | integer | float | enum | collection (checks for size) | date | true | Inequality |
| like | string | true | Case sensitive string, match anywhere |
| !like | string | true | Case sensitive string, not match anywhere |
| \$like | string | true | Case sensitive string, match start |
| !\$like | string | true | Case sensitive string, not match start |
| like\$ | string | true | Case sensitive string, match end |
| !like\$ | string | true | Case sensitive string, not match end |
| ilike | string | true | Case insensitive string, match anywhere |
| !ilike | string | true | Case insensitive string, not match anywhere |
| \$ilike | string | true | Case insensitive string, match start |
| !\$ilike | string | true | Case insensitive string, not match start |
| ilike\$ | string | true | Case insensitive string, match end |
| !ilike\$ | string | true | Case insensitive string, not match end |
| gt | string | boolean | integer | float | collection (checks for size) | date | true | Greater than |
| ge | string | boolean | integer | float | collection (checks for size) | date | true | Greater than or equal |
| lt | string | boolean | integer | float | collection (checks for size) | date | true | Less than |
| le | string | boolean | integer | float | collection (checks for size) | date | true | Less than or equal |
| null | all | false | Property is null |
| !null | all | false | Property is not null |
| empty | collection | false | Collection is empty |
| token | string | true | Match on multiple tokens in search property |
| !token | string | true | Not match on multiple tokens in search property |
| in | string | boolean | integer | float | date | true | Find objects matching 1 or more values |
| !in | string | boolean | integer | float | date | true | Find objects not matching 1 or more values |
Operators will be applied as logical and query, if you need an or query, you can have a look at our in filter (also have a look at the section below). The filtering mechanism allows for recursion. See below for some examples.
Get data elements with id property ID1 and aggregation operator "sum":
/api/dataElements?filter=id:eq:ID1&filter=aggregationOperator:eq:sum
Get all data elements which have the dataSet with id ID1:
/api/dataElements?filter=dataSetElements.dataSet.id:eq:ID1
Get all data elements with aggregation operator "sum" and value type "int":
/api/dataElements.json?filter=aggregationOperator:eq:sum&filter=type:eq:int
You can do filtering within collections, e.g. to get data elements which are members of the "ANC" data element group you can use the following query using the id property of the associated data element groups:
/api/dataElements.json?filter=dataElementGroups.id:eq:qfxEYY9xAl6
Since all operators are and by default, you can't find a data element matching more than one id, for that purpose you can use the in operator.
/api/dataElements.json?filter=id:in:[fbfJHSPpUQD,cYeuwXTCPkU]
As mentioned in the section before, the default logical operator applied to the filters is AND which means that all object filters must be matched. There are however cases where you want to match on one of several filters (maybe id and code field) and in those cases, it is possible to switch the root logical operator from AND to OR using the rootJunction parameter.
Example: Normal filtering where both id and code must match to have a result returned
/api/dataElements.json?filter=id:in:[id1,id2]&filter=code:eq:code1
Example: Filtering where the logical operator has been switched to OR and now only one of the filters must match to have a result returned
/api/dataElements.json?filter=id:in:[id1,id2]&filter=code:eq:code1&rootJunction=OR
In addition to the specific property based filtering mentioned above, we also have token based AND filtering across a set of properties: id, code, and name (also shortName if available). These properties are commonly referred to as identifiable. The idea is to filter metadata whose id, name, code or short name containing something.
Example: Filter all data elements containing 2nd in any of the following: id,name,code, shortName
/api/dataElements.json?filter=identifiable:token:2nd
It is also possible to specify multiple filtering values.
Example: Get all data elements where ANC visit is found in any of the identifiable properties. The system returns all data elements where both tokens (ANC and visit) are found anywhere in identifiable properties.
/api/dataElements.json?filter=identifiable:token:ANC visit
It is also possible to combine the identifiable filter with property-based filter and expect the rootJunction to be applied.
/api/dataElements.json?filter=identifiable:token:ANC visit&filter=displayName:ilike:tt1
/api/dataElements.json?filter=identifiable:token:ANC visit
&filter=displayName:ilike:tt1&rootJunction=OR
In many situations, the default views of the metadata can be too verbose. A client might only need a few fields from each object and want to remove unnecessary fields from the response. To discover which fields are available for each object please see the schema section.
The format for include/exclude allows for infinite recursion. To filter at the "root" level you can just use the name of the field, i.e. ?fields=id,name which would only display the id and name fields for every object. For objects that are either collections or complex objects with properties on their own, you can use the format ?fields=id,name,dataSets[id,name] which would return id, name of the root, and the id and name of every data set on that object. Negation can be done with the exclamation operator, and we have a set of presets of field select. Both XML and JSON are supported.
Example: Get id and name on the indicators resource:
/api/indicators?fields=id,name
Example: Get id and name from dataElements, and id and name from the dataSets on dataElements:
/api/dataElements?fields=id,name,dataSets[id,name]
To exclude a field from the output you can use the exclamation ! operator. This is allowed anywhere in the query and will simply not include that property as it might have been inserted in some of the presets.
A few presets (selected fields groups) are available and can be applied using the : operator.
| Operator | Description |
|---|---|
| <field-name> | Include property with name, if it exists. |
| <object>[<field-name>, ...] | Includes a field within either a collection (will be applied to every object in that collection), or just on a single object. |
| !<field-name>, <object>[!<field-name> | Do not include this field name, it also works inside objects/collections. Useful when you use a preset to include fields. |
| *, <object>[*] | Include all fields on a certain object, if applied to a collection, it will include all fields on all objects on that collection. |
| :<preset> | Alias to select multiple fields. Three presets are currently available, see the table below for descriptions. |
| Preset | Description |
|---|---|
| all | All fields of the object |
| * | Alias for all |
| identifiable | Includes id, name, code, created and lastUpdated fields |
| nameable | Includes id, name, shortName, code, description, created and lastUpdated fields |
| persisted | Returns all persisted property on an object, does not take into consideration if the object is the owner of the relation. |
| owner | Returns all persisted property on an object where the object is the owner of all properties, this payload can be used to update through the API. |
Example: Include all fields from dataSets except organisationUnits:
/api/dataSets?fields=:all,!organisationUnits
Example: Include only id, name and the collection of organisation units from a data set, but exclude the id from organisation units:
/api/dataSets/BfMAe6Itzgt?fields=id,name,organisationUnits[:all,!id]
Example: Include nameable properties from all indicators:
/api/indicators.json?fields=:nameable
In DHIS2.17 we introduced field transformers, the idea is to allow further customization of the properties on the server-side.
/api/dataElements/ID?fields=id~rename(i),name~rename(n)
This will rename the id property to i and name property to n.
Multiple transformers can be used by repeating the transformer syntax:
/api/dataElementGroups.json?fields=id,displayName,dataElements~isNotEmpty~rename(haveDataElements)
| Name | Arguments | Description |
|---|---|---|
| size | Gives sizes of strings (length) and collections | |
| isEmpty | Is string or collection empty | |
| isNotEmpty | Is string or collection not empty | |
| rename | Arg1: name | Renames the property name |
| paging | Arg1: page,Arg2: pageSize | Pages a collection, default pageSize is 50. |
| pluck | Optional Arg1: fieldName | Converts an array of objects to an array of a selected field of that object. By default, the first field that is returned by the collection is used (normally the ID). |
Examples of transformer usage.
/api/dataElements?fields=dataSets~size
/api/dataElements?fields=dataSets~isEmpty
/api/dataElements?fields=dataSets~isNotEmpty
/api/dataElements/ID?fields=id~rename(i),name~rename(n)
/api/dataElementGroups?fields=id,displayName,dataElements~paging(1;20)
# Include array with IDs of organisation units:
/api/categoryOptions.json?fields=id,organisationUnits~pluck
# Include array with names of organisation units (collection only returns field name):
/api/categoryOptions.json?fields=id,organisationUnits~pluck[name]
All metadata entities in DHIS2 have their own API endpoint which supports CRUD operations (create, read, update and delete). The endpoint URLs follows this format:
/api/<entityName>
The entityName uses the camel-case notation. As an example, the endpoint for data elements is:
/api/dataElements
The following request query parameters are available across all metadata endpoints.
| Param | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| preheatCache | boolean | false | true | false | Turn cache-map preheating on/off. This is on by default, turning this off will make initial load time for importer much shorter (but will make the import itself slower). This is mostly used for cases where you have a small XML/JSON file you want to import, and don't want to wait for cache-map preheating. |
| strategy | enum | false | CREATE_AND_UPDATE | CREATE | UPDATE | DELETE | Import strategy to use, see below for more information. |
| mergeMode | enum | false | REPLACE, MERGE | Strategy for merging of objects when doing updates. REPLACE will just overwrite the property with the new value provided, MERGE will only set the property if it is not null (only if the property was provided). |
For creating new objects you will need to know the endpoint, the type format, and make sure that you have the required authorities. As an example, we will create and update a constant. To figure out the format, we can use the new schema endpoint for getting format description. So we will start with getting that info:
http://<server>/api/schemas/constant.json
From the output, you can see that the required authorities for create are F_CONSTANT_ADD, and the important properties are: name and value. From this, we can create a JSON payload and save it as a file called constant.json:
{
"name": "PI",
"value": "3.14159265359"
}
The same content as an XML payload:
<constant name="PI" xmlns="http://dhis2.org/schema/dxf/2.0">
<value>3.14159265359</value>
</constant>
We are now ready to create the new constant by sending a POST request to the *constants*endpoint with the JSON payload using curl:
curl -d @constant.json "http://server/api/constants" -X POST
-H "Content-Type: application/json" -u user:password
A specific example of posting the constant to the demo server:
curl -d @constant.json "https://play.dhis2.org/api/constants" -X POST
-H "Content-Type: application/json" -u admin:district
If everything went well, you should see an output similar to:
{
"status": "SUCCESS",
"importCount": {
"imported": 1,
"updated": 0,
"ignored": 0,
"deleted": 0
},
"type": "Constant"
}
The process will be exactly the same for updating, you make your changes to the JSON/XML payload, find out the ID of the constant, and then send a PUT request to the endpoint including ID:
curl -X PUT -d @pi.json -H "Content-Type: application/json"
-u user:password "http://server/api/constants/ID"
Deleting objects is very straight forward, you will need to know the ID and the endpoint of the type you want to delete, let's continue our example from the last section and use a constant. Let's assume that the id is abc123, then all you need to do is the send the DELETE request to the endpoint + id:
curl -X DELETE -u user:password "http://server/api/constants/ID"
A successful delete should return HTTP status 204 (no content).
The collections resource lets you modify collections of objects.
In order to add or remove objects to or from a collection of objects you can use the following pattern:
/api/{collection-object}/{collection-object-id}/{collection-name}/{object-id}
You should use the POST method to add, and the DELETE method to remove an object. When there is a many-to-many relationship between objects, you must first determine which object owns the relationship. If it isn't clear which object this is, try the call both ways to see which works.
The components of the pattern are:
collection object: The type of objects that owns the collection you want to modify.
collection object id: The identifier of the object that owns the collection you want to modify.
collection name: The name of the collection you want to modify.
object id: The identifier of the object you want to add or remove from the collection.
As an example, in order to remove a data element with identifier IDB from a data element group with identifier IDA you can do a DELETE request:
DELETE /api/dataElementGroups/IDA/dataElements/IDB
To add a category option with identifier IDB to a category with identifier IDA you can do a POST request:
POST /api/categories/IDA/categoryOptions/IDB
You can add or remove multiple objects from a collection in one request with a payload like this:
{
"identifiableObjects": [
{
"id": "IDA"
},
{
"id": "IDB"
},
{
"id": "IDC"
}
]
}
Using this payload you can add, replace or delete items:
Adding Items:
POST /api/categories/IDA/categoryOptions
Replacing Items:
PUT /api/categories/IDA/categoryOptions
Delete Items:
DELETE /api/categories/IDA/categoryOptions
You can both add and remove objects from a collection in a single POST request to the following URL:
POST /api/categories/IDA/categoryOptions
The payload format is:
{
"additions": [
{
"id": "IDA"
},
{
"id": "IDB"
},
{
"id": "IDC"
}
],
"deletions": [
{
"id": "IDD"
},
{
"id": "IDE"
},
{
"id": "IDF"
}
]
}
DHIS 2 supports system wide validation of metadata payloads, which means that create and update operations on the API endpoints will be checked for valid payload before allowing changes to be made. To find out what validations are in place for a specific endpoint, have a look at the /api/schemas endpoint, i.e. to figure out which constraints a data element have, you would go to /api/schemas/dataElement.
You can also validate your payload manually by sending it to the proper schema endpoint. If you wanted to validate the constant from the create section before, you would send it like this:
POST /api/schemas/constant
A simple (non-validating) example would be:
curl -X POST -d "{\"name\": \"some name\"}" -H "Content-Type: application/json"
-u admin:district "https://play.dhis2.org/dev/api/schemas/dataElement"
Which would yield the result:
[
{
"message": "Required property missing.",
"property": "type"
},
{
"property": "aggregationOperator",
"message": "Required property missing."
},
{
"property": "domainType",
"message": "Required property missing."
},
{
"property": "shortName",
"message": "Required property missing."
}
]
For cases where you don't want or need to update all properties on a object (which means downloading a potentially huge payload, change one property, then upload again) we now support partial update, for one or more properties.
The payload for doing partial updates are the same as when you are doing a full update, the only difference is that you only include the properties you want to update, i.e.:
{
"name": "Updated Name",
"zeroIsSignificant": true
}
An example curl command looks like this:
curl -X PATCH -d @file.json -H "Content-Type: application/json"
-u admin:district "https://play.dhis2.org/dev/api/dataElements/fbfJHSPpUQD"
This section explains the metatada API which is available at /api/metadata. XML and JSON resource representations are supported.
/api/metadata
The most common parameters are described below in the "Export Parameter" table. You can also apply this to all available types by using type:fields=<filter> and type:filter=<filter>. You can also enable/disable the export of certain types by setting type=true|false.
| Name | Options | Description |
|---|---|---|
| fields | Same as metadata field filter | Default field filter to apply for all types, default is `:owner`. |
| filter | Same as metadata object filter | Default object filter to apply for all types, default is `none`. |
| order | Same as metadata order | Default order to apply to all types, default is `name` if available, or `created` if not. |
| translate | false/true | Enable translations. Be aware that this is turned off by default (in other endpoints this is on by default). |
| locale | <locale> | Change from user locale, to your own custom locale. |
| defaults | INCLUDE/EXCLUDE | Should auto-generated category object be included or not in the payload. If you are moving metadata between 2 non-synced instances, it might make sense to set this to EXCLUDE to ease the handling of these generated objects. |
| skipSharing | false/true | Enabling this will strip the sharing properties from the exported objects. This includes user, publicAccess, userGroupAccesses, userAccesses, and externalAccess. |
| download | false/true | Enabling this will add HTTP header Content-Disposition that specifies that the data should be handled as an attachment and will be offered by web browsers as a download. |
Export all metadata. Be careful as the response might be very large depending on your metadata configuration:
/api/metadata
Export all metadata ordered by lastUpdated descending:
/api/metadata?defaultOrder=lastUpdated:desc
Export metadata only including indicators and indicator groups:
/api/metadata?indicators=true&indicatorGroups=true
Export id and displayName for all data elements, ordered by displayName:
/api/metadata?dataElements:fields=id,name&dataElements:order=displayName:desc
Export data elements and indicators where name starts with "ANC":
/api/metadata?filter=name:^like:ANC&dataElements=true&indicators=true
When you want to exchange metadata for a data set, program or category combo from one DHIS2 instance to another instance there are three dedicated endpoints available:
/api/dataSets/{id}/metadata.json
/api/programs/{id}/metadata.json
/api/categoryCombos/{id}/metadata.json
/api/dashboards/{id}/metadata.json
These exports can then be imported using /api/metadata.
These endpoints also support the following parameters:
| Name | Options | Description |
|---|---|---|
| skipSharing | false/true | Enabling this will strip the sharing properties from the exported objects. This includes user, publicAccess, userGroupAccesses, userAccesses, and externalAccess. |
| download | false/true | Enabling this will add HTTP header Content-Disposition that specifies that the data should be handled as an attachment and will be offered by web browsers as a download. |
This section explains the metadata import API. XML and JSON resource representations are supported. Metadata can be imported using a POST request.
/api/metadata
The importer allows you to import metadata payloads which may include many different entities and any number of objects per entity. The metadata export generated by the metadata export API can be imported directly.
The metadata import endpoint support a variety of parameters, which are listed below.
| Name | Options (first is default) | Description |
|---|---|---|
| importMode | COMMIT, VALIDATE | Sets overall import mode, decides whether or not to only `VALIDATE` or also `COMMIT` the metadata, this has similar functionality as our old dryRun flag. |
| identifier | UID, CODE, AUTO | Sets the identifier scheme to use for reference matching. `AUTO` means try `UID` first, then `CODE`. |
| importReportMode | ERRORS, FULL, DEBUG | Sets the `ImportReport` mode, controls how much is reported back after the import is done. `ERRORS` only includes ObjectReports for object which has errors. `FULL` returns an ObjectReport for all objects imported, and `DEBUG` returns the same plus a name for the object (if available). |
| preheatMode | REFERENCE, ALL, NONE | Sets the preheater mode, used to signal if preheating should be done for `ALL` (as it was before with preheatCache=true) or do a more intelligent scan of the objects to see what to preheat (now the default), setting this to `NONE` is not recommended. |
| importStrategy | CREATE_AND_UPDATE, CREATE, UPDATE, DELETE | Sets import strategy, `CREATE_AND_UPDATE` will try and match on identifier, if it doesn't exist, it will create the object. |
| atomicMode | ALL, NONE | Sets atomic mode, in the old importer we always did a best effort import, which means that even if some references did not exist, we would still import (i.e. missing data elements on a data element group import). Default for new importer is to not allow this, and similar reject any validation errors. Setting the `NONE` mode emulated the old behavior. |
| mergeMode | REPLACE, MERGE | Sets the merge mode, when doing updates we have two ways of merging the old object with the new one, `MERGE` mode will only overwrite the old property if the new one is not-null, for `REPLACE` mode all properties are overwritten regardless of null or not. |
| flushMode | AUTO, OBJECT | Sets the flush mode, which controls when to flush the internal cache. It is strongly recommended to keep this to `AUTO` (which is the default). Only use `OBJECT` for debugging purposes, where you are seeing hibernate exceptions and want to pinpoint the exact place where the stack happens (hibernate will only throw when flushing, so it can be hard to know which object had issues). |
| skipSharing | false, true | Skip sharing properties, does not merge sharing when doing updates, and does not add user group access when creating new objects. |
| skipValidation | false, true | Skip validation for import. `NOT RECOMMENDED`. |
| async | false, true | Asynchronous import, returns immediately with a Location header pointing to the location of the importReport. The payload also contains a json object of the job created. |
| inclusionStrategy | NON_NULL, ALWAYS, NON_EMPTY | NON_NULL includes properties which are not null, ALWAYS include all properties, NON_EMPTY includes non empty properties (will not include strings of 0 length, collections of size 0, etc.) |
| userOverrideMode | NONE, CURRENT, SELECTED | Allows you to override the user property of every object you are importing, the options are NONE (do nothing), CURRENT (use import user), SELECTED (select a specific user using overrideUser=X) |
| overrideUser | User ID | If userOverrideMode is SELECTED, use this parameter to select the user you want override with. |
An example of a metadata payload to be imported looks like this. Note how each entity type have their own property with an array of objects:
{
"dataElements": [
{
"name": "EPI - IPV 3 doses given",
"shortName": "EPI - IPV 3 doses given",
"aggregationType": "SUM",
"domainType": "AGGREGATE",
"valueType": "INTEGER_ZERO_OR_POSITIVE"
},
{
"name": "EPI - IPV 4 doses given",
"shortName": "EPI - IPV 4 doses given",
"aggregationType": "SUM",
"domainType": "AGGREGATE",
"valueType": "INTEGER_ZERO_OR_POSITIVE"
}
],
"indicators": [
{
"name": "EPI - ADS stock used",
"shortName": "ADS stock used",
"numerator": "#{LTb8XeeqeqI}+#{Fs28ZQJET6V}-#{A3mHIZd2tPg}",
"numeratorDescription": "ADS 0.05 ml used",
"denominator": "1",
"denominatorDescription": "1",
"annualized": false,
"indicatorType": {
"id": "kHy61PbChXr"
}
}
]
}
When posting this payload to the metadata endpoint, the response will contain information about the parameters used during the import and a summary per entity type including how many objects were created, updated, deleted and ignored:
{
"importParams": {
"userOverrideMode": "NONE",
"importMode": "COMMIT",
"identifier": "UID",
"preheatMode": "REFERENCE",
"importStrategy": "CREATE_AND_UPDATE",
"atomicMode": "ALL",
"mergeMode": "REPLACE",
"flushMode": "AUTO",
"skipSharing": false,
"skipTranslation": false,
"skipValidation": false,
"metadataSyncImport": false,
"firstRowIsHeader": true,
"username": "UNICEF_admin"
},
"status": "OK",
"typeReports": [
{
"klass": "org.hisp.dhis.dataelement.DataElement",
"stats": {
"created": 2,
"updated": 0,
"deleted": 0,
"ignored": 0,
"total": 2
}
},
{
"klass": "org.hisp.dhis.indicator.Indicator",
"stats": {
"created": 1,
"updated": 0,
"deleted": 0,
"ignored": 0,
"total": 1
}
}
],
"stats": {
"created": 3,
"updated": 0,
"deleted": 0,
"ignored": 0,
"total": 3
}
}
A resource which can be used to introspect all available DXF 2 objects can be found on /api/schemas. For specific resources you can have a look at /api/schemas/<type>.
To get all available schemas in XML:
GET /api/schemas.xml
To get all available schemas in JSON:
GET /api/schemas.json
To get JSON schema for a specific class:
GET /api/schemas/dataElement.json
DHIS2 includes a collection of icons that can be used to give visual context to metadata. These icons can be accessed through the icons resource.
GET /api/icons
This endpoint returns a list of information about the available icons. Each entry contains information about the icon, and a reference to the actual icon.
{
"key": "mosquito_outline",
"description": "Mosquito outline",
"keywords": ["malaria", "mosquito", "dengue"],
"href": "<dhis server>/api/icons/mosquito_outline/icon.svg"
}
The keywords can be used to filter which icons to return. Passing a list of keywords with the request will only return icons that match all the keywords:
GET /api/icons?keywords=shape,small
A list of all unique keywords can be found at the keywords resource:
GET /api/icons/keywords
Some metadata types have a property named renderType. The render type property is a map between a device and a renderingType. Applications can use this information as a hint on how the object should be rendered on a specific device. For example, a mobile device might want to render a data element differently than a desktop computer.
There is currently two different kinds of renderingTypes available:
Value type rendering
Program stage section rendering
There is also 2 device types available:
MOBILE
DESKTOP
The following table lists the metadata and rendering types available. The value type rendering has addition constraints based on the metadata configuration, which will be shown in a second table.
| Metadata type | Available RenderingTypes |
|---|---|
| Program Stage Section |
|
| Data element |
|
Since handling the default rendering of data elements and tracked entity attributes are depending on the value type of the object, there is also a DEFAULT type to tell the client it should be handled as normal. Program Stage Section is LISTING as default.
| Value type | Is object an optionset? | RenderingTypes allowed |
|---|---|---|
| TRUE_ONLY | No | DEFAULT, VERTICAL_RADIOBUTTONS, HORIZONTAL_RADIOBUTTONS, VERTICAL_CHECKBOXES, HORIZONTAL_CHECKBOXES, TOGGLE |
| BOOLEAN | No | |
| - | Yes | DEFAULT, DROPDOWN, VERTICAL_RADIOBUTTONS, HORIZONTAL_RADIOBUTTONS, VERTICAL_CHECKBOXES, HORIZONTAL_CHECKBOXES, SHARED_HEADER_RADIOBUTTONS, ICONS_AS_BUTTONS, SPINNER, ICON |
| INTEGER | No | DEFAULT, VALUE, SLIDER, LINEAR_SCALE, SPINNER |
| INTEGER_POSITIVE | No | |
| INTEGER_NEGATIVE | No | |
| INTEGER_ZERO_OR_POSITIVE | No | |
| NUMBER | No | |
| UNIT_INTERVAL | No | |
| PERCENTAGE | No |
A complete reference of the previous table can also be retrieved using the following endpoint:
GET /api/staticConfiguration/renderingOptions
Value type rendering also has some additional properties that can be set, which is usually needed when rendering some of the specific types:
| Property | Description | Type |
|---|---|---|
| type | The RenderingType of the object, as seen in the first table. This property is the same for both value type and program stage section, but is the only property available for program stage section. | Enum (See list in the Metadata and Rendering Type table) |
| min | Only for value type rendering. Represents the minimum value this field can have. | Integer |
| max | Only for value type rendering. Represents the maximum value this field can have. | Integer |
| step | Only for value type rendering. Represents the size of the steps the value should increase, for example for SLIDER og LINEAR_SCALE | Integer |
| decimalPoints | Only for value type rendering. Represents the number of decimal points the value should use. | Integer |
The renderingType can be set when creating or updating the metadata listed in the first table. An example payload for the rendering type for program stage section looks like this:
{
"renderingType": {
"type": "MATRIX"
}
}
For data element and tracked entity attribute:
{
"renderingType": {
"type": "SLIDER",
"min": 0,
"max": 1000,
"step": 50,
"decimalPoints": 0
}
}
Most metadata have a property names "style". This property can be used by clients to represent the object in a certain way. The properties currently supported by style is as follows:
| Property | Description | Type |
|---|---|---|
| color | A color, represented by a hexadecimal. | String (#000000) |
| icon | An icon, represented by a icon-name. | String |
Currently, there is no official list or support for icon-libraries, so this is currently up to the client to provide. The following list shows all objects that support style:
Data element
Data element category option
Data set
Indicator
Option
Program
Program Indicator
Program Section
Program Stage
Program Stage Section
Relationship (Tracker)
Tracked Entity Attribute
Tracked Entity Type
When creating or updating any of these objects, you can include the following payload to change the style:
{
"style": {
"color": "#ffffff",
"icon": "my-beautiful-icon"
}
}
This section describes indicators and indicator expressions.
To retrieve indicators you can make a GET request to the indicators resource like this:
/api/indicators
Indicators represent expressions which can be calculated and presented as a result. The indicator expressions are split into a numerator and denominator. The numerators and denominators are mathematical expressions which can contain references to data elements, other indicators, constants and organisation unit groups. The variables will be substituted with data values when used e.g. in reports. Variables which are allowed in expressions are described in the following table.
| Variable | Object | Description |
|---|---|---|
| #{<dataelement-id>.<categoryoptcombo-id>.<attributeoptcombo-id>} | Data element operand | Refers to a combination of an aggregate data element and a category option combination. Both category and attribute option combo ids are optional, and a wildcard "*" symbol can be used to indicate any value. |
| #{<dataelement-id>.<categoryoptiongroup-id>.<attributeoptcombo-id>} | Category Option Group | Refers to an aggregate data element and a category option group, containing multiple category option combinations. |
| #{<dataelement-id>} | Aggregate data element | Refers to the total value of an aggregate data element across all category option combinations. |
| D{<program-id>.<dataelement-id>} | Program data element | Refers to the value of a tracker data element within a program. |
| A{<program-id>.<attribute-id>} | Program tracked entity attribute | Refers to the value of a tracked entity attribute within a program. |
| I{<program-indicator-id>} | Program indicator | Refers to the value of a program indicator. |
| R{<dataset-id>.<metric>} | Reporting rate | Refers to a reporting rate metric. The metric can be REPORTING_RATE, REPORTING_RATE_ON_TIME, ACTUAL_REPORTS, ACTUAL_REPORTS_ON_TIME, EXPECTED_REPORTS. |
| C{<constant-id>} | Constant | Refers to a constant value. |
| N{<indicator-id>} | Indicator | Refers to an existing Indicator. |
| OUG{<orgunitgroup-id>} | Organisation unit group | Refers to the count of organisation units within an organisation unit group. |
The syntax looks like this:
#{<dataelement-id>.<catoptcombo-id>} + C{<constant-id>} + OUG{<orgunitgroup-id>}
A corresponding example looks like this:
#{P3jJH5Tu5VC.S34ULMcHMca} + C{Gfd3ppDfq8E} + OUG{CXw2yu5fodb}
Note that for data element variables the category option combo identifier can be omitted. The variable will then represent the total for the data element, e.g. across all category option combos. Example:
#{P3jJH5Tu5VC} + 2
Data element operands can include any of category option combination and attribute option combination, and use wildcards to indicate any value:
#{P3jJH5Tu5VC.S34ULMcHMca} + #{P3jJH5Tu5VC.*.j8vBiBqGf6O} + #{P3jJH5Tu5VC.S34ULMcHMca.*}
An example which uses a program data element and a program attribute:
( D{eBAyeGv0exc.vV9UWAZohSf} * A{IpHINAT79UW.cejWyOfXge6} ) / D{eBAyeGv0exc.GieVkTxp4HH}
An example which combines program indicators and aggregate indicators:
I{EMOt6Fwhs1n} * 1000 / #{WUg3MYWQ7pt}
An example which uses a reporting rate looks like this:
R{BfMAe6Itzgt.REPORTING_RATE} * #{P3jJH5Tu5VC.S34ULMcHMca}
Another example which uses actual data set reports:
R{BfMAe6Itzgt.ACTUAL_REPORTS} / R{BfMAe6Itzgt.EXPECTED_REPORTS}
An example which uses an existing indicator would look like this:
N{Rigf2d2Zbjp} * #{P3jJH5Tu5VC.S34ULMcHMca}
Expressions can be any kind of valid mathematical expression, as an example:
( 2 * #{P3jJH5Tu5VC.S34ULMcHMca} ) / ( #{FQ2o8UBlcrS.S34ULMcHMca} - 200 ) * 25
To retrieve program indicators you can make a GET request to the program indicators resource like this:
/api/programIndicators
Program indicators can contain information collected in a program. Indicators have an expression which can contain references to data elements, attributes, constants and program variables. Variables which are allowed in expressions are described in the following table.
| Variable | Description |
|---|---|
| #{<programstage-id>.<dataelement-id>} | Refers to a combination of program stage and data element id. |
| A{<attribute-id>} | Refers to a tracked entity attribute. |
| V{<variable-id>} | Refers to a program variable. |
| C{<constant-id>} | Refers to a constant. |
The syntax looks like this:
#{<programstage-id>.<dataelement-id>} + #{<attribute-id>} + V{<varible-id>} + C{<constant-id>}
A corresponding example looks like this:
#{A03MvHHogjR.a3kGcGDCuk6} + A{OvY4VVhSDeJ} + V{incident_date} + C{bCqvfPR02Im}
Expressions are mathematical formulas which can contain references to data elements, constants and organisation unit groups. To validate and get the textual description of an expression, you can make a GET request to the expressions resource:
/api/expressions/description?expression=<expression-string>
The response follows the standard JSON web message format. The status property indicates the outcome of the validation and will be "OK" if successful and "ERROR" if failed. The message property will be "Valid" if successful and provide a textual description of the reason why the validation failed if not. The description provides a textual description of the expression.
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "Valid",
"description": "Acute Flaccid Paralysis"
}
The organisationUnits resource follows the standard conventions as other metadata resources in DHIS2. This resource supports some additional query parameters.
To get a list of organisation units you can use the following resource.
/api/33/organisationUnits
| Query parameter | Options | Description |
|---|---|---|
| userOnly | false | true | Data capture organisation units associated with current user only. |
| userDataViewOnly | false | true | Data view organisation units associated with current user only. |
| userDataViewFallback | false | true | Data view organisation units associated with current user only with fallback to data capture organisation units. |
| query | string | Query against the name, code and ID properties. |
| level | integer | Organisation units at the given level in the hierarchy. |
| maxLevel | integer | Organisation units at the given max level or levels higher up in the hierarchy. |
| withinUserHierarchy | false | true | Limits search and retrieval to organisation units that are within the users data capture scope. |
| withinUserSearchHierarchy | false | true | Limits search and retrieval to organisation units that are within the current users search scope. Note: "withinUserHierarchy", if true, takes higher precedence. |
| memberCollection | string | For displaying count of members within a collection, refers to the name of the collection associated with organisation units. |
| memberObject | UID | For displaying count of members within a collection, refers to the identifier of the object member of the collection. |
To get an organisation unit with related organisation units you can use the following resource.
/api/33/organisationUnits/{id}
| Query parameter | Options | Description |
|---|---|---|
| includeChildren | false | true | Include immediate children of the specified organisation unit, i.e. the units at the immediate level below in the subhierarchy. |
| includeDescendants | false | true | Include all children of the specified organisation unit, i.e. all units in the sub-hierarchy. |
| includeAncestors | false | true | Include all parents of the specified organisation unit. |
| level | integer | Include children of the specified organisation unit at the given level of the sub-hierarchy (relative to the organisation unit where the immediate level below is level 1). |
Purpose-built endpoint to retrieve associations between Programs and Organisation Units. This endpoint is the preferred way to retrieve program org unit associations.
/api/33/programs/orgUnits?programs=<programUid,anotherProgramUid,...>
responses will have the following format:
{
"<programUid>": [
"<orgUnitUid>",
"<orgUnitUid>",
...,
"<orgUnitUid>"
],
"<programUid>": [
"<orgUnitUid>",
"<orgUnitUid>",
...,
"<orgUnitUid>"
],
"...": [
...,
...
],
"<programUid>": []
}
programs with no associated uids (hence accessible by all orgUnits) are returned with an empty array [] of orgUnits.
The dataSets resource follows the standard conventions as other metadata resources in DHIS2. This resource supports some additional query parameters.
/api/33/dataSets
To retrieve the version of a data set you can issue a GET request:
GET /api/33/dataSets/<uid>/version
To bump (increase by one) the version of a data set you can issue a POST request:
POST /api/33/dataSets/<uid>/version
The dataset notification templates resource follows the standard conventions as other metadata resources in DHIS2.
GET /api/33/dataSetNotficationTemplates
To retrieve data set notification template you can issue a GET request:
GET /api/33/dataSetNotficationTemplates/<uid>
To add data set notification template you can issue a POST request:
POST /api/33/dataSetNotficationTemplates
To delete data set notification template you can issue a DELETE request:
DELETE /api/33/dataSetNotficationTemplates/<uid>
JSON payload sample is given below:
{
"name": "dataSetNotificationTemplate1",
"notificationTrigger": "COMPLETION",
"relativeScheduledDays": 0,
"notificationRecipient": "ORGANISATION_UNIT_CONTACT",
"dataSets": [
{
"id": "eZDhcZi6FLP"
}
],
"deliveryChannels": ["SMS"],
"subjectTemplate": "V{data_name}",
"messageTemplate": "V{data_name}V{complete_registration_period}",
"sendStrategy": "SINGLE_NOTIFICATION"
}
The filledOrganisationUnitLevels resource provides an ordered list of organisation unit levels, where generated levels are injected into the list to fill positions for which it does not exist a persisted level.
GET /api/33/filledOrganisationUnitLevels
To set the organisation unit levels you can issue a POST request with a JSON payload looking like this.
{
"organisationUnitLevels": [
{
"name": "National",
"level": 1,
"offlineLevels": 3
},
{
"name": "District",
"level": 2
},
{
"name": "Chiefdom",
"level": 3
},
{
"name": "Facility",
"level": 4
}
]
}
To do functional testing with curl you can issue the following command.
curl "http://localhost/api/33/filledOrganisationUnitLevels" -H "Content-Type:application/json"
-d @levels.json -u admin:district
A predictor allows you to generate data values based on an expression. This can be used for example to generate targets, thresholds, or estimated values.
To retrieve predictors you can make a GET request to the predictors resource like this:
/api/predictors
You can create a predictor with a POST request to the predictors resource:
POST /api/predictors
A sample payload looks like this:
{
"id": "AG10KUJCrRk",
"name": "Malaria Outbreak Threshold Predictor",
"shortName": "Malaria Outbreak Predictor",
"description": "Computes the threshold for potential malaria outbreaks based on the mean plus 1.5x the std dev",
"output": {
"id": "nXJJZNVAy0Y"
},
"generator": {
"expression": "AVG(#{r6nrJANOqMw})+1.5*STDDEV(#{r6nrJANOqMw})",
"description": "Maximum normal malaria case count",
"missingValueStrategy": "NEVER_SKIP",
"slidingWindow": false
},
"periodType": "Monthly",
"sequentialSampleCount": 4,
"sequentialSkipCount": 1,
"annualSampleCount": 3,
"organisationUnitLevels": [4]
}
The output element refers to the identifier of the data element for which to saved predicted data values. The generator element refers to the expression to use when calculating the predicted values.
A predictor always has a generator expression that describes how the predicted value is calculated. A predictor may also have a skip test expression returning a boolean value. When the skip test expression is present, it is evaluated in each of the sampled periods to tell whether values from that period should be skipped.
The following variables may be used in either a generator expression or a skip test expression:
| Variable | Object | Description |
|---|---|---|
| #{\<dataelement-id>} | Aggregate data element | Refers to the total value of an aggregate data element across all category option combinations. |
| #{\<dataelement-id>.\<categoryoptcombo-id>} | Data element operand | Refers to a combination of an aggregate data element and a category option combination. |
| D{\<program-id>.\<dataelement-id>} | Program data element | Refers to the value of a tracker data element within a program. |
| A{\<program-id>.\<attribute-id>} | Program tracked entity attribute | Refers to the value of a tracked entity attribute within a program. |
| I{\<program-indicator-id>} | Program indicator | Refers to the value of a program indicator. |
| R{\<dataset-id>.\<metric>} | Reporting rate | Refers to a reporting rate metric. The metric can be REPORTING_RATE, REPORTING_RATE_ON_TIME, ACTUAL_REPORTS, ACTUAL_REPORTS_ON_TIME, EXPECTED_REPORTS. |
| C{\<constant-id>} | Constant | Refers to a constant value. |
| OUG{\<orgunitgroup-id>} | Organisation unit group | Refers to the count of organisation units within an organisation unit group. |
| [days] | Number of days | The number of days in the current period. |
To run all predictors (generating predicted values) you can make a POST request to the run resource:
POST /api/predictors/run
To run a single predictor you can make a POST request to the run resource for a predictor:
POST /api/predictors/AG10KUJCrRk/run
This section is about sending and reading program rules, and explains the program rules data model. The program rules give functionality to configure dynamic behaviour in the programs in DHIS2.
The program rules data model consists of programRuleVariables, programRules and programRuleActions. The programRule contains an expression - when this expression is true, the child programRuleActions is triggered. The programRuleVariables is used to address data elements, tracked entity data values and other data values needed to run the expressions. All programRules in a program share the same library of programRuleVariables, and one programRuleVariable can be used in several programRules' expressions.

The following table gives a detailed overview over the programRule model.
| name | description | Compulsory |
|---|---|---|
| program | The program of which the programRule is executed in. | Compulsory |
| name | The name with which the program rule will be displayed to dhis2 configurators. Not visible to the end user of the program. | Compulsory |
| description | The description of the program rule, can be used by configurators to describe the rule. Not visible to the end user of the program. | Compulsory |
| programStage | If a programStage is set for a program rule, the rule will only be evaluated inside the specified program stage. | optional |
| condition | The expression that needs to be evaluated to true in order for the program rule to trigger its child actions. The expression is written using operators, function calls, hard coded values, constants and program rule variables. | Compulsory |
| priority | The priority to run the rule in cases where the order of the rules matters. In most cases the rules does not depend on being run before or after other rules, and in these cases the priority can be omitted. If no priority is set, the rule will be run after any rules that has a priority defined. If a priority(integer) is set, the rule with the lowest priority will be run before rules with higher priority. | optional |
The following table gives a detailed overview over the programRuleAction model.
| name | description | Compulsory |
|---|---|---|
| programRule | The programRule that is the parent of this action. | Compulsory |
| programRule- ActionType | The type of action that is to be performed.
| Compulsory |
| location | Used for actionType DISPLAYKEYVALUEPAIR and DISPLAYTEXT to designate which widget to display the text or keyvaluepair in. Compulsory for DISPLAYKEYVALUEPAIR and DISPLAYTEXT. | See description |
| content | Used for user messages in the different actions. See the actionType overview for a detailed explanation for how it is used in each of the action types. Compulsory for SHOWWARNING, SHOWERROR, WARNINGONCOMPLETION, ERRORONCOMPLETION, DISPLAYTEXT and DISPLAYKEYVALUEPAIR. Optional for HIDEFIELD and ASSIGN. | See description |
| data | Used for expressions in the different actions. See the actionType overview for a detailed explanation for how it is used in each of the action types. Compulsory for ASSIGN. Optional for SHOWWARNING, SHOWERROR, WARNINGONCOMPLETION, ERRORONCOMPLETION, DISPLAYTEXT, CREATEEVENT and DISPLAYKEYVALUEPAIR | See description |
| dataElement | Used for linking rule actions to dataElements. See the actionType overview for a detailed explanation for how it is used in each of the action types. Optional for SHOWWARNING, SHOWERROR, WARNINGONCOMPLETION, ERRORONCOMPLETION, ASSIGN and HIDEFIELD | See description |
| trackedEntity- Attribute | Used for linking rule actions to trackedEntityAttributes. See the actionType overview for a detailed explanation for how it is used in each of the action types. Optional for SHOWWARNING, SHOWERROR and HIDEFIELD. | See description |
| option | Used for linking rule actions to options. See the actionType overview for a detailed explanation for how it is used in each of the action types. Optional for HIDEOPTION | See description |
| optionGroup | Used for linking rule actions to optionGroups. See the actionType overview for a detailed explanation for how it is used in each of the action types. Compulsory for SHOWOPTIONGROUP, HIDEOPTIONGROUP. | See description |
| programStage | Only used for CREATEEVENT rule actions. Compulsory for CREATEEEVENT. | See description |
| programStage- Section | Only used for HIDESECTION rule actions. Compulsory for HIDESECTION | See description |
The following table gives a detailed overview over the programRuleVariable model.
| name | description | Compulsory |
|---|---|---|
| name | the name for the programRuleVariable - this name is used in expressions. | Compulsory |
| sourceType | Defines how this variable is populated with data from the enrollment and events.
| Compulsory |
| dataElement | Used for linking the programRuleVariable to a dataElement. Compulsory for all sourceTypes that starts with DATAELEMENT_. | See description |
| trackedEntity- Attribute | Used for linking the programRuleVariable to a trackedEntityAttribute. Compulsory for sourceType TEI_ATTRIBUTE. | See description |
| useCodeFor- OptionSet | If checked, the variable will be populated with the code - not the name - from any linked option set. Default is unchecked, meaning that the name of the option is populated. | |
| programStage | Used for specifying a specific program stage to retreive the programRuleVariable value from. Compulsory for DATAELEMENT_NEWEST_EVENT_PROGRAM_STAGE. | See description |
programRules resource is available in API.To retrieve list of programRules you can do a GET request like this:
/api/programRules
To retrieve single programRule you can do a GET request like this:
/api/programRules/<program_rule_uid>
To save/add single programRule you can do a POST request like this:
/api/programRules/<program_rule_uid>
To update single programRule you can do a PUT request like this:
/api/programRules/<program_rule_uid>
To delete single programRule you can do a DELETE request like this:
/api/programRules/<program_rule_uid>
To retrieve description of programRule condition you can use POST and provide condition string in the POST body.
/api/programRules/condition/description?<program_rule_uid>
To retrieve information about a form (which corresponds to a data set and its sections) you can interact with the form resource. The form response is accessible as XML and JSON and will provide information about each section (group) in the form as well as each field in the sections, including labels and identifiers. By supplying period and organisation unit identifiers the form response will be populated with data values.
| Parameter | Option | Description |
|---|---|---|
| pe | ISO period | Period for which to populate form data values. |
| ou | UID | Organisation unit for which to populate form data values. |
| metaData | false | true | Whether to include metadata about each data element of form sections. |
To retrieve the form for a data set you can do a GET request like this:
/api/dataSets/<dataset-id>/form.json
To retrieve the form for the data set with identifier "BfMAe6Itzgt" in XML:
/api/dataSets/BfMAe6Itzgt/form
To retrieve the form including metadata in JSON:
/api/dataSets/BfMAe6Itzgt/form.json?metaData=true
To retrieve the form filled with data values for a specific period and organisation unit in XML:
/api/dataSets/BfMAe6Itzgt/form.xml?ou=DiszpKrYNg8&pe=201401
When it comes to custom data entry forms, this resource also allows for creating such forms directly for a data set. This can be done through a POST or PUT request with content type text/html where the payload is the custom form markup such as:
curl -d @form.html "localhost/api/dataSets/BfMAe6Itzgt/form"
-H "Content-Type:text/html" -u admin:district -X PUT
References to files can be stored with the document resource.
| Field name | Description |
|---|---|
| name | unique name of document |
| external | flag identifying the location of the document. TRUE for external files, FALSE for internal ones |
| url | the location of the file. URL for external files. File resource id for internal ones (see File resources) |
A GET request to the documents endpoint will return all documents:
/api/documents
A POST request to the documents endpoint will create a new document:
curl -X POST -d @document.json -H "Content-type: application/json"
"http://dhis.domain/api/documents"
{
"name": "dhis home",
"external": true,
"url": "https://www.dhis2.org"
}
A GET request with the id of a document appended will return information about the document. A PUT request to the same endpoint will update the fields of the document:
/api/documents/<documentId>
Appending /data to the GET request will return the actual file content of the document:
/api/documents/<documentId>/data
DHIS2 supports import of metadata in the CSV format, such as data elements, organisation units and validation rules. Properties for the various metadata objects are identified based on the column order/column index (see below for details). You can omit non-required object properties/columns, but since the column order is significant, an empty column must be included. In other words, if you would like to specify properties/columns which appear late in the column order but not specify certain columns which appear early in the order you can include empty/blank columns for them.
The first row of the CSV file is considered to be a header and is ignored during import. The comma character should be used as a text delimiter. Text which contains commas must be enclosed in double quotes.
To upload metadata in CSV format you can make a POST request to the metadata endpoint:
POST /api/metadata?classKey=CLASS-KEY
The following object types are supported. The classKey query parameter is mandatory and can be found next to each object type in the table below.
| Object type | Class key |
|---|---|
| Data elements | DATA_ELEMENT |
| Data element groups | DATA_ELEMENT_GROUP |
| Category options | CATEGORY_OPTION |
| Category option groups | CATEGORY_OPTION_GROUP |
| Organisation units | ORGANISATION_UNIT |
| Organisation unit groups | ORGANISATION_UNIT_GROUP |
| Validation rules | VALIDATION_RULE |
| Option sets | OPTION_SET |
| Translations | TRANSLATION |
Tip
If using curl, the
--data-binaryoption should be used as it preserves line breaks and newlines, which is essential for CSV data.
As an example, to upload a file of data elements in CSV format with curl you can use the following command:
curl --data-binary @data_elements.csv "http://localhost/api/metadata?classKey=DATA_ELEMENT"
-H "Content-Type:application/csv" -u admin:district
The formats for the currently supported object types for CSV import are listed in the following sections.
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | Name | Yes | Name. Max 230 char. Unique. | |
| 2 | UID | No | UID | Stable identifier. Exactly 11 alpha-numeric characters, beginning with a character. Will be generated by system if not specified. |
| 3 | Code | No | Stable code. Max 50 char. | |
| 4 | Short name | No | 50 first char of name | Will fall back to first 50 characters of name if unspecified. Max 50 char. Unique. |
| 5 | Description | No | Free text description. | |
| 6 | Form name | No | Max 230 char. | |
| 7 | Domain type | No | AGGREGATE | TRACKER | Domain type for data element, can be aggregate or tracker. Max 16 char. |
| 8 | Value type | No | INTEGER | NUMBER | UNIT_INTERVAL | PERCENTAGE | INTEGER_POSITIVE | INTEGER_NEGATIVE | INTEGER_ZERO_OR_POSITIVE | FILE_RESOURCE | COORDINATE |TEXT | LONG_TEXT | LETTER | PHONE_NUMBER | EMAIL | BOOLEAN | TRUE_ONLY | DATE | DATETIME | Value type. Max 16 char. |
| 9 | Aggregation type | No | SUM | AVERAGE | AVERAGE_SUM_ORG_UNIT | COUNT | STDDEV | VARIANCE | MIN | MAX | NONE | Aggregation type indicating how to aggregate data in various dimensions. Max 16 char. |
| 10 | Category combination | No | UID | UID of category combination. Will default to default category combination if not specified. |
| 11 | Url | No | URL to data element resource. Max 255 char. | |
| 12 | Zero is significant | No | false | true | Indicates whether zero values will be stored for this data element. |
| 13 | Option set | No | UID | UID of option set to use for data. |
| 14 | Comment option set | No | UID | UID of option set to use for comments. |
An example of a CSV file for data elements can be seen below. The first row will always be ignored. Note how you can skip columns and rely on default values to be used by the system. You can also skip columns which you do not use which appear to the right of the ones
name,uid,code,shortname,description
"Women participated skill development training",,"D0001","Women participated in training"
"Women participated community organizations",,"D0002","Women participated in organizations"
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | Name | Yes | Name. Max 230 characters. Unique. | |
| 2 | UID | No | UID | Stable identifier. Max 11 char. Will be generated by system if not specified. |
| 3 | Code | No | Stable code. Max 50 char. | |
| 4 | Parent | No | UID | UID of parent organisation unit. |
| 5 | Short name | No | 50 first char of name | Will fall back to first 50 characters of name if unspecified. Max 50 characters. Unique. |
| 6 | Description | No | Free text description. | |
| 7 | Opening date | No | 1970-01-01 | Opening date of organisation unit in YYYY-MM-DD format. |
| 8 | Closed date | No | Closed date of organisation unit in YYYY-MM-DD format, skip if currently open. | |
| 9 | Comment | No | Free text comment for organisation unit. | |
| 10 | Feature type | No | NONE | MULTI_POLYGON | POLYGON | POINT | SYMBOL | Geospatial feature type. |
| 11 | Coordinates | No | Coordinates used for geospatial analysis in Geo JSON format. | |
| 12 | URL | No | URL to organisation unit resource. Max 255 char. | |
| 13 | Contact person | No | Contact person for organisation unit. Max 255 char. | |
| 14 | Address | No | Address for organisation unit. Max 255 char. | |
| 15 | No | Email for organisation unit. Max 150 char. | ||
| 16 | Phone number | No | Phone number for organisation unit. Max 150 char. |
A minimal example for importing organisation units with a parent unit looks like this:
name,uid,code,parent
"West province",,"WESTP","ImspTQPwCqd"
"East province",,"EASTP","ImspTQPwCqd"
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | Name | Yes | Name. Max 230 characters. Unique. | |
| 2 | UID | No | UID | Stable identifier. Max 11 char. Will be generated by system if not specified. |
| 3 | Code | No | Stable code. Max 50 | |
| 4 | Description | No | Free text description. | |
| 5 | Instruction | No | Free text instruction. | |
| 6 | Importance | No | MEDIUM | HIGH | LOW | Importance of validation rule. |
| 7 | Rule type (ignored) | No | VALIDATION | SURVEILLANCE | Type of validation rule. |
| 8 | Operator | No | equal_to | not_equal_to | greater_than | greater_than_or_equal_to | less_than | less_than_or_equal_to | compulsory_pair | exclusive_pair | Expression operator. |
| 9 | Period type | No | Monthly | Daily | Weekly | Quarterly | SixMontly | Yearly | Period type. |
| 10 | Left side expression | Yes | Mathematical formula based on data element and option combo UIDs. | |
| 11 | Left side expression description | Yes | Free text. | |
| 12 | Left side missing value strategy | No | SKIP_IF_ANY_VALUE_MISSING | SKIP_IF_ALL_VALUES_MISSING | NEVER_SKIP | Behavior in case of missing values in left side expression. |
| 13 | Right side expression | Yes | Mathematical formula based on data element and option combo UIDs. | |
| 14 | Right side expression description | Yes | Free text. | |
| 15 | Right side missing value strategy | No | SKIP_IF_ANY_VALUE_MISSING | SKIP_IF_ALL_VALUES_MISSING | NEVER_SKIP | Behavior in case of missing values in right side expression. |
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | OptionSetName | Yes | Name. Max 230 characters. Unique. Should be repeated for each option. | |
| 2 | OptionSetUID | No | UID | Stable identifier. Max 11 char. Will be generated by system if not specified. Should be repeated for each option. |
| 3 | OptionSetCode | No | Stable code. Max 50 char. Should be repeated for each option. | |
| 4 | OptionName | Yes | Option name. Max 230 characters. | |
| 5 | OptionUID | No | UID | Stable identifier. Max 11 char. Will be generated by system if not specified. |
| 6 | OptionCode | Yes | Stable code. Max 50 char. |
The format for option sets is special. The three first values represent an option set. The three last values represent an option. The first three values representing the option set should be repeated for each option.
optionsetname,optionsetuid,optionsetcode,optionname,optionuid,optioncode
"Color",,"COLOR","Blue",,"BLUE"
"Color",,"COLOR","Green",,"GREEN"
"Color",,"COLOR","Yellow",,"YELLOW"
"Sex",,,"Male",,"MALE"
"Sex",,,"Female",,"FEMALE"
"Sex",,,"Unknown",,"UNKNOWN"
"Result",,,"High",,"HIGH"
"Result",,,"Medium",,"MEDIUM"
"Result",,,"Low",,"LOW"
"Impact","cJ82jd8sd32","IMPACT","Great",,"GREAT"
"Impact","cJ82jd8sd32","IMPACT","Medium",,"MEDIUM"
"Impact","cJ82jd8sd32","IMPACT","Poor",,"POOR"
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | OptionGroupName | Yes | Name. Max 230 characters. Unique. Should be repeated for each option. | |
| 2 | OptionGroupUid | No | Stable identifier. Max 11 char. Will be generated by system if not specified. Should be repeated for each option. | |
| 3 | OptionGroupCode | No | Stable code. Max 50 char. Should be repeated for each option. | |
| 4 | OptionGroupShortName | Yes | Short Name. Max 50 characters. Unique. Should be repeated for each option. | |
| 5 | OptionSetUid | Yes | Stable identifier. Max 11 char. Should be repeated for each option. | |
| 6 | OptionUid | No | Stable identifier. Max 11 char. | |
| 7 | OptionCode | No | Stable code. Max 50 char. |
Sample OptionGroup CSV payload
optionGroupName,optionGroupUid,optionGroupCode,optionGroupShortName,optionSetUid,optionUid,optionCode
optionGroupA,,,groupA,xmRubJIhmaK,,OptionA
optionGroupA,,,groupA,xmRubJIhmaK,,OptionB
optionGroupB,,,groupB,QYDAByFgTr1,,OptionC
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | OptionGroupSetName | Yes | Name. Max 230 characters. Unique. Should be repeated for each option. | |
| 2 | OptionGroupSetUid | No | Stable identifier. Max 11 char. Will be generated by system if not specified. Should be repeated for each option. | |
| 3 | OptionGroupSetCode | No | Stable code. Max 50 char. Should be repeated for each option. | |
| 4 | OptionGroupSetDescription | No | Description. Should be repeated for each option. | |
| 5 | DataDimension | No | TRUE, FALSE | |
| 6 | OptionSetUid | No | OptionSet UID. Stable identifier. Max 11 char. |
Sample OptionGroupSet CSV payload
name,uid,code,description,datadimension,optionsetuid
optiongroupsetA,,,,,xmRubJIhmaK
optiongroupsetB,,,,false,QYDAByFgTr1
To add OptionGroups to an imported OptionGroupSet, follow the steps as importing collection membership
In addition to importing objects, you can also choose to only import the group-member relationship between an object and a group. Currently, the following group and object pairs are supported
Organisation Unit Group - Organisation Unit
Data Element Group - Data Element
Indicator Group - Indicator
Option Group Set - Option Group
The CSV format for these imports are the same
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | UID | Yes | UID | The UID of the collection to add an object to |
| 2 | UID | Yes | UID | The UID of the object to add to the collection |
| Index | Column | Required | Value (default first) | Description |
|---|---|---|---|---|
| 1 | Name | Yes | Name. Max 230 characters. Unique. | |
| 2 | UID | No | UID | Stable identifier. Max 11 chars. Will be generated by system if not specified. |
| 3 | Code | No | Stable code. Max 50 char. | |
| 4 | Short name | No | Short name. Max 50 characters. |
An example of category options looks like this:
name,uid,code,shortname
"Male",,"MALE"
"Female",,"FEMALE"
The deleted objects resource provides a log of metadata objects being deleted.
/api/deletedObjects
Whenever an object of type metadata is deleted, a log is being kept of the uid, code, the type and the time of when it was deleted. This API is available at /api/deletedObjects field filtering and object filtering works similarly to other metadata resources.
Get deleted objects of type data elements:
GET /api/deletedObjects.json?klass=DataElement
Get deleted object of type indicator which was deleted in 2015 and forward:
GET /api/deletedObjects.json?klass=Indicator&deletedAt=2015-01-01
Certain types of metadata objects can be marked as favorites for the currently logged in user. This applies currently for dashboards.
/api/dashboards/<uid>/favorite
To make a dashboard a favorite you can make a POST request (no content type required) to a URL like this:
/api/dashboards/iMnYyBfSxmM/favorite
To remove a dashboard as a favorite you can make a DELETE request using the same URL as above.
The favorite status will appear as a boolean favorite field on the object (e.g. the dashboard) in the metadata response.
A logged user can subscribe to certain types of objects. Currently subscribable objects are those of type Chart, EventChart, EventReport, Map, ReportTable and Visualization.
Note
The Chart and ReportTable objects are deprecated. Use Visualization instead.
To get the subscribers of an object (return an array of user IDs) you can make a GET request:
/api/<object-type>/<object-id>/subscribers
See example as follows:
/api/charts/DkPKc1EUmC2/subscribers
To check whether the current user is subscribed to an object (returns a boolean) you can perform a GET call:
/api/<object-type>/<object-id>/subscribed
See example as follows:
/api/charts/DkPKc1EUmC2/subscribed
To subscribe/de-subscribe to an object you perform a POST/DELETE request (no content type required):
/api/<object-type>/<object-id>/subscriber
File resources are objects used to represent and store binary content. The FileResource object itself contains the file meta-data (name, Content-Type, size, etc.) as well as a key allowing retrieval of the contents from a database-external file store. The FileResource object is stored in the database like any other but the content (file) is stored elsewhere and is retrievable using the contained reference (storageKey).
/api/fileResources
The contents of file resources are not directly accessible but are referenced from other objects (such as data values) to store binary content of virtually unlimited size.
To create a file resource that does not require a corresponding data value, POST to the endpoint /api/fileResources with a multipart upload:
curl "https://server/api/fileResources" -X POST
-F "file=@/path/to/file/name-of-file.png"
To create both a file resource and a data value that references the file, POST to the /api/dataValues/file endpoint in DHIS 2.36 or later:
curl "https://server/api/dataValues/file?de=xPTAT98T2Jd
&pe=201301&ou=DiszpKrYNg8&co=Prlt0C1RF0s" -X POST
-F "file=@/path/to/file/name-of-file.png"
For the api/fileResources endpoint, the only form parameter required is file, which is the file to upload. For the api/dataValues/file endpoint, the parameters required are the same as for a post to api/dataValues, with the addition of file.
The filename and content-type should also be included in the request but will be replaced with defaults when not supplied.
On successfully creating a file resource the returned data will contain a response field which in turn contains the fileResource like this:
{
"httpStatus": "Accepted",
"httpStatusCode": 202,
"status": "OK",
"response": {
"responseType": "FileResource",
"fileResource": {
"name": "name-of-file.png",
"created": "2015-10-16T16:34:20.654+0000",
"lastUpdated": "2015-10-16T16:34:20.667+0000",
"externalAccess": false,
"publicAccess": "--------",
"user": { ... },
"displayName": "name-of-file.png",
"contentType": "image/png",
"contentLength": 512571,
"contentMd5": "4e1fc1c3f999e5aa3228d531e4adde58",
"storageStatus": "PENDING",
"id": "xm4JwRwke0i"
}
}
}
Note that the response is a 202 Accepted, indicating that the returned resource has been submitted for background processing (persisting to the external file store in this case). Also, note the storageStatus field which indicates whether the contents have been stored or not. At this point, the persistence to the external store is not yet finished (it is likely being uploaded to a cloud-based store somewhere) as seen by the PENDING status.
Even though the content has not been fully stored yet the file resource can now be used, for example as referenced content in a data value (see Working with file data values). If we need to check the updated storageStatus or otherwise retrieve the metadata of the file, the fileResources endpoint can be queried.
curl "https://server/api/fileResources/xm4JwRwke0i" -H "Accept: application/json"
This request will return the FileResource object as seen in the response of the above example.
File resources must be referenced (assigned) from another object in order to be persisted in the long term. A file resource which is created but not referenced by another object such as a data value is considered to be in staging. Any file resources which are in this state and are older than two hours will be marked for deletion and will eventually be purged from the system.
The ID returned by the initial creation of the file resource is not retrievable from any other location unless the file resource has been referenced (in which the ID will be stored as the reference), so losing it will require the POST request to be repeated and a new object to be created. The orphaned file resource will be cleaned up automatically.
File resource objects are immutable, meaning modification is not allowed and requires creating a completely new resource instead.
Certain types of files are blocked from being uploaded for security reasons.
The following content types are blocked.
| Content type | Content type |
|---|---|
| text/html | application/x-ms-dos-executable |
| text/css | application/vnd.microsoft.portable-executable |
| text/javascript | application/vnd.apple.installer+xml |
| font/otf | application/vnd.mozilla.xul+xml |
| application/x-shockwave-flash | application/x-httpd-php |
| application/vnd.debian.binary-package | application/x-sh |
| application/x-rpm | application/x-csh |
| application/java-archive |
The following file extensions are blocked.
| File extension | File extension | File extension |
|---|---|---|
| html | deb | xul |
| htm | rpm | php |
| css | jar | bin |
| js | jsp | sh |
| mjs | exe | csh |
| otf | msi | bat |
| swf | mpkg |
This section explains the Metadata Versioning APIs available starting 2.24
/api/metadata/version: This endpoint will return the current metadata version of the system on which it is invoked.| Name | Required | Description |
|---|---|---|
| versionName | false | If this parameter is not specified, it will return the current version of the system or otherwise it will return the details of the versionName passed as parameter. (versionName is of the syntax "Version_<id>" |
Example: Get the current metadata version of this system
Request:
/api/metadata/version
Response:
{
"name": "Version_4",
"created": "2016-06-30T06:01:28.684+0000",
"lastUpdated": "2016-06-30T06:01:28.685+0000",
"externalAccess": false,
"displayName": "Version_4",
"type": "BEST_EFFORT",
"hashCode": "848bf6edbaf4faeb7d1a1169445357b0",
"id": "Ayz2AEMB6ry"
}
Example: Get the details of version with name "Version_2"
Request:
/api/metadata/version?versionName=Version_2
Response:
{
"name": "Version_2",
"created": "2016-06-30T05:59:33.238+0000",
"lastUpdated": "2016-06-30T05:59:33.239+0000",
"externalAccess": false,
"displayName": "Version_2",
"type": "BEST_EFFORT",
"hashCode": "8050fb1a604e29d5566675c86d02d10b",
"id": "SaNyhusVxBG"
}
/api/metadata/version/history: This endpoint will return the list of all metadata versions of the system on which it is invoked.Name | Required | Description |
|---|---|---|
baseline | false | If this parameter is not specified, it will return list of all metadata versions. Otherwise we need to pass a versionName parameter of the form "Version_<id>". It will then return the list of versions present in the system which were created after the version name supplied as the query parameter. |
Example: Get the list of all versions in this system
Request:
/api/metadata/version/history
Response:
{
"metadataversions": [
{
"name": "Version_1",
"type": "BEST_EFFORT",
"created": "2016-06-30T05:54:41.139+0000",
"id": "SjnhUp6r4hG",
"hashCode": "fd1398ff7ec9fcfd5b59d523c8680798"
},
{
"name": "Version_2",
"type": "BEST_EFFORT",
"created": "2016-06-30T05:59:33.238+0000",
"id": "SaNyhusVxBG",
"hashCode": "8050fb1a604e29d5566675c86d02d10b"
},
{
"name": "Version_3",
"type": "BEST_EFFORT",
"created": "2016-06-30T06:01:23.680+0000",
"id": "FVkGzSjAAYg",
"hashCode": "70b779ea448b0da23d8ae0bd59af6333"
}
]
}
Example: Get the list of all versions in this system created after "Version_2"
Request:
/api/metadata/version/history?baseline=Version_2
Response:
{
"metadataversions": [
{
"name": "Version_3",
"type": "BEST_EFFORT",
"created": "2016-06-30T06:01:23.680+0000",
"id": "FVkGzSjAAYg",
"hashCode": "70b779ea448b0da23d8ae0bd59af6333"
},
{
"name": "Version_4",
"type": "BEST_EFFORT",
"created": "2016-06-30T06:01:28.684+0000",
"id": "Ayz2AEMB6ry",
"hashCode": "848bf6edbaf4faeb7d1a1169445357b0"
}
]
}
/api/metadata/version/create: This endpoint will create the metadata version for the version type as specified in the parameter.Name | Required | Description |
|---|---|---|
type | true | The type of metadata version which needs to be created.
|
Users can select the type of metadata which needs to be created. Metadata Version type governs how the importer should treat the given version. This type will be used while importing the metadata. There are two types of metadata.
BEST_EFFORT: This type suggests that missing references can be ignored and the importer can continue importing the metadata (e.g. missing data elements on a data element group import).
ATOMIC: This type ensures a strict type checking of the metadata references and the metadata import will fail if any of the references do not exist.
Note
It's recommended to have an ATOMIC type of versions to ensure that all systems (central and local) have the same metadata. Any missing reference is caught in the validation phase itself. Please see the importer details for a full explanation.
Example: Create metadata version of type BEST_EFFORT
Request:
curl -X POST -u admin:district "https://play.dhis2.org/dev/api/metadata/version/create?type=BEST_EFFORT"
Response:
{
"name": "Version_1",
"created": "2016-06-30T05:54:41.139+0000",
"lastUpdated": "2016-06-30T05:54:41.333+0000",
"externalAccess": false,
"publicAccess": "--------",
"user": {
"name": "John Traore",
"created": "2013-04-18T17:15:08.407+0000",
"lastUpdated": "2016-04-06T00:06:06.571+0000",
"externalAccess": false,
"displayName": "John Traore",
"id": "xE7jOejl9FI"
},
"displayName": "Version_1",
"type": "BEST_EFFORT",
"hashCode": "fd1398ff7ec9fcfd5b59d523c8680798",
"id": "SjnhUp6r4hG"
}
/api/metadata/version/{versionName}/data: This endpoint will download the actual metadata specific to the version name passed as path parameter.
/api/metadata/version/{versionName}/data.gz: This endpoint will download the actual metadata specific to the version name passed as path parameter in a compressed format (gzipped).
Name | Required | Description |
|---|---|---|
versionName | true | Path parameter of the form "Version_<id>" so that the API downloads the specific version |
Example: Get the actual metadata for "Version 5"
Request:
curl -u admin:district "https://play.dhis2.org/dev/api/metadata/version/Version_5/data"
Response:
{
"date": "2016-06-30T06:10:23.120+0000",
"dataElements": [
{
"code": "ANC 5th Visit",
"created": "2016-06-30T06:10:09.870+0000",
"lastUpdated": "2016-06-30T06:10:09.870+0000",
"name": "ANC 5th Visit",
"id": "sCuZKDsix7Y",
"shortName": "ANC 5th Visit ",
"aggregationType": "SUM",
"domainType": "AGGREGATE",
"zeroIsSignificant": false,
"valueType": "NUMBER",
"categoryCombo": {
"id": "p0KPaWEg3cf"
},
"user": {
"id": "xE7jOejl9FI"
}
}
]
}
This section explains the Metadata Synchronization API available starting 2.24
/api/metadata/sync: This endpoint performs metadata sync of the version name passed in the query parameter by downloading and importing the specified version from the remote server as defined in the settings app.Name | Required | Description |
|---|---|---|
versionName | true | versionName query parameter of the form "Version_<id>" . The api downloads this version from the remote server and imports it in the local system. |
This API should be used with utmost care. Please note that there is an alternate way to achieve sync in a completely automated manner by leveraging the Metadata Sync Task from the "Data Administration" app. See Chapter 22, Section 22.17 of User Manual for more details regarding Metadata Sync Task.
This sync API can alternatively be used to sync metadata for the versions which have failed from the metadata sync scheduler. Due to its dependence on the given metadata version number, care should be taken for the order in which this gets invoked. E.g. If this api is used to sync some higher version from the central instance, then the sync might fail as the metadata dependencies are not present in the local instance.
Assume the local instance is at Version_12 and if this endpoint is used to sync Version_15 (of type BEST_EFFORT) from the central instance, the scheduler will start syncing metadata from Version_16. So the local instance will not have the metadata versions between Version_12 and Version_15. You need to manually sync the missing versions using these endpoints only.
Example: Sync Version_6 from central system to this system
Request:
curl -u admin:district "https://play.dhis2.org/dev/api/metadata/sync?versionName=Version_6"
DHIS2 provides a metadata repository containing metadata packages with various content. A metadata package is a DHIS2-compliant JSON document which describes a set of metadata objects.
To retrieve an index over available metadata packages you can issue a GET request to the metadataRepo resource:
GET /api/synchronization/metadataRepo
A metadata package entry contains information about the package and a URL to the relevant package. An index could look like this:
{
"packages": [
{
"id": "sierre-leone-demo",
"name": "Sierra Leone demo",
"description": "Sierra Leone demo database",
"version": "0.1",
"href": "https://dhis2.org/metadata-repo/221/sierra-leone-demo/metadata.json"
},
{
"id": "trainingland-org-units",
"name": "Trainingland organisation units",
"description": "Trainingland organisation units with four levels",
"version": "0.1",
"href": "https://dhis2.org/metadata-repo/221/trainingland-org-units/metadata.json"
}
]
}
A client can follow the URLs and install a metadata package through a POST request with content type text/plain with the metadata package URL as the payload to the metadataPull resource:
POST /api/synchronization/metadataPull
An example curl command looks like this:
curl "localhost:8080/api/synchronization/metadataPull" -X POST
-d "https://dhis2.org/metadata-repo/221/trainingland-org-units/metadata.json"
-H "Content-Type:text/plain" -u admin:district
The Metadata Gist API is a RESTful read-only JSON API to fetch and browse metadata. Items in this API contain the gist of the same item in the Metadata API.
The API is specifically designed to avoid:
The standard Metadata API is a flexible and powerful API built to serve any and every use case. The downside of this is that not all features and combinations can scale while keeping good performance in the presence of huge numbers of items. In particular lists with items where each item itself has a property which is a large collection of complex objects have proven problematic as they quickly reference a large part of the entire object graph.
The /gist API was added to provide a metadata API where scaling well is our first priority. The downside of this is that there are more distinct limits to what features are technically reasonable, which means not all features of the standard Metadata API exist for the Gist API.
The Gist API uses a divide and conquer strategy to avoid responses with large partial object graphs. Instead of including nested objects or lists it provides a /gist endpoint URI where this object or list can be viewed in isolation. The /gist API refers to nested data using URIs rather than including it. This means if a client is interested in this nested information more request are required but each of them is kept reasonable small and will scale well in context of huge number of potential items.
Known Differences:
pager parameter)pager-transformer but through a paged API endpoint for the particular collection propertymember(<id>) and not-member(<id>) collection field transformersKnown Limitations:
pluck transformer limited to text propertiesWhere possible to use the /gist API should be considered the preferable way of fetching metadata information.
The /gist API has 3 kinds of endpoints:
/api/<object-type>/gist: paged list of all known and visible objects of the type (implicit auto=S)/api/<object-type>/<object-id>/gist: view single object by ID (implicit auto=L)/api/<object-type>/<object-id>/<field-name>/gist: paged list of all known and visible items in the collection of owner object's field (implicit auto=M; in case this is a simple field just the field value)These endpoints correspond to the endpoints of the standard metadata API without the /gist suffix and share the majority of parameters and their options with that API.
Since /gist API avoids deeply nested data structures in the response the details of referenced complex objects or list of objects is instead provided in form of a URI to the gist endpoint that only returns the complex object or list of objects. These URIs are provided by the apiEndpoints field of an item which is automatically added to an item when such references exist. The item property itself might contain a transformation result on the object or collection such as its size, emptiness, non-emptiness, id(s) or plucked property such as its name.
To manually browse data it can be handy to use the absoluteUrls=true parameter. Linkage between parts of the gist can now be followed directly in browsers that render JSON responses.
All endpoints of the /gist API accept the same set of parameters. Parameters and their options that do not make sense in the endpoint context are ignored.
Parameters in alphabetical order:
absoluteUrls: true (default) use relative paths in links, false use absolute URLs in linksauto: XS,S,M,L,XL extent of fields selected by * field selectorfields: comma separated list of fields to include (default is *)filter: comma separated list of query field filters (can be used more than once)headless: true skip wrapping result in a pager (ignores total), false (default) use a pager wrapper object around the result listinverse: true return items not in the list, false (default) return items in the listorder: comma separated list of query order fields (can be used more than once)page: {1..n} page numberpageSize: {1..1000} number of items on a page (default is 50)rootJunction: AND (default) or OR combination of filterstotal: true add total number of matches to the pager, false (default) skip counting total number of matchestranslate: true (default) translate all translatable properties, false skip translation of translatable properties (no effect on synthetic display names)absoluteUrls ParameterBy default, URIs in apiEndpoints, href and the pager'sprev and next members are relative, starting with /<object-type>/ path.
The URIs can be changed to absolute URLs using the absoluteUrls parameter.
For example, /api/users/rWLrZL8rP3K/gist?fields=id,href returns:
{
"id": "rWLrZL8rP3K",
"href": "/users/rWLrZL8rP3K/gist"
}
whereas /api/users/rWLrZL8rP3K/gist?fields=id,href&absoluteUrls=true returns:
{
"id": "rWLrZL8rP3K",
"href": "http://localhost:8080/api/users/rWLrZL8rP3K/gist?absoluteUrls=true"
}
As the example shows the absoluteUrls parameter is also forwarded or carried over to the included URLs so allowing to browse the responses by following the provided URLs.
auto ParameterEach endpoint implicitly sets a default for the extent of fields matched by the */:all fields selector:
/api/<object-type>/gist: implies auto=S/api/<object-type>/<object-id>/gist: implies auto=L/api/<object-type>/<object-id>/<field-name>/gist: implies auto=MThe auto parameter is used to manually override the default to make list items include more or less fields. This setting again acts as a default which can be further overridden on a per field basis using an explicit transformation.
Possible options for auto are ("t-shirt sizes"):
XS: includes only IDs and textual propertiesS: excludes complex (object) properties, collection are only linked (not counted)M: complex included as reference URL, collections as count and reference URLL: like M but collections included as list of IDs (OBS! unbound in size)XL: like L but collections included as ID objects: { "id": <id> }For example, /api/users/gist would list items with fields id, surname, firstName, phoneNumber, email, lastUpdated whereas /api/users/gist?auto=XS only lists id, surname, firstName, phoneNumber, email. Using /api/users/gist?auto=L would also include organisationUnits, dataViewOrganisationUnits, teiSearchOrganisationUnits and userGroups each with the list of IDs of the members in the lists/sets.
fields ParameterSpecifies the list of fields to include for each list item.
Fields are included in the result JSON objects for an item in the provided order. A preset in the list of fields is expanded to the fields it contains at the position in the fields list it appears. Fields within the preset are ordered from simple to complex.
If no fields parameter is provided fields=* is assumed. Note that the fields of the * preset also depend on the auto parameter
To remove a field use either !<name> or -<name> in the list of fields. For example to remove the userGroups from a user, use:
/api/users/gist?fields=*,!userGroups
The same principle can also be used to specify the transformer to use for a field. For example, to include the IDs of the user's user groups use:
/api/users/gist?fields=*,userGroups::ids
When using field presets like this it is important to remember that the last declaration of each fields wins over prior ones. In the opposite order
/api/users/gist?fields=userGroups::ids,*
the userGroups would not be shown with IDs since * expands among other fields to userGroups::none which replaces the explicit userGroups::ids.
The fields parameter does allow listing fields of nested objects as long as there is a 1:1 relation. For example to add userCredentials with id and name of a user use:
/api/users/gist?fields=*,userCredentials[id,username]
This creates items of the form:
{
...
"userCredentials": {
"id": "Z9oOHPi3FHB",
"username": "guest"
}
}
A way to partly overcome the 1:1 limitation and to include fields of nested collection is the pluck transformer. It allows for example to include all names of a user's userGroups by:
/api/users/gist?fields=*,userGroups::pluck(name)
This lists the userGroups as:
{
"userGroups": [
"_PROGRAM_Inpatient program",
"_PROGRAM_TB program",
"_DATASET_Superuser",
"_PROGRAM_Superuser",
"_DATASET_Data entry clerk",
"_DATASET_M and E Officer"
]
}
When requesting a single field, like /api/users/gist?fields=surname the response is a (still paged) list of simple values:
{
"pager": {
"page": 1,
"pageSize": 50
},
"users": [
"Kamara",
"Wakiki",
"Nana",
"Malai",
...
]
}
When requesting a single field of a specific owner object which has a simple (non collection) value, like for example /api/users/rWLrZL8rP3K/gist?fields=surname the response only include the plain JSON value:
"Wakiki"
Further details on field presets can be found in section Fields.
filter ParameterTo filter the list of returned items add one or more filter parameters.
Multiple filters can either be specified as comma seperated list of a single filter parameter or as multiple filter parameters each with a single filter.
There are two types of filters:
<field>:<operator><field>:<operator>:<value>A field must be a persisted field of the listed item type or field of a directly referenced object (1:1 relation).
Available unary operators are:
null: field is null (undefined)!null: field is not null (defined)empty: field is a empty collection!empty: field is a non-empty collectionAvailable binary operators are:
eq: field equals value!eq, neq, ne: field is not equal valuelt: field is less than valuele, lte: field is less than or equal to valuegt: field is greater than valuege, gte: field is greater than or equal to valuein: field is a collection and value is an item contained in the collection!in: field is a collection and value is an item not contained in the collectionIf the <value> of an in or !in filter is a list it is given in the form [value1,value2,...], for example: userGroups:in:[fbfJHSPpUQD,cYeuwXTCPkU].
Any >, >=, < <=, == or != comparison applied to a collection field with a numeric value will compare the size of the collection to the value, for example: userGroups:gt:0.
Available binary pattern matching operators are:
like, ilike: field contains <value> or field matches pattern <value> (when wildcards * or ? in value)!like, !ilike: field does not contain <value> or field does not match pattern <value> (when wildcards * or ? in value)$like, $ilike, startsWith: field starts with <value>!$like, !$ilike: field does not start with <value>like$, ilike$, endsWith: field ends with <value>!like$, !ilike$: field does not end with <value>The like and !like operators can be used by either providing a search term in which case a match is any value where the term occurs anywhere or they can be used by providing the search pattern using * as any number of characters and ? any single character.
Some operators have multiple aliases to be backwards compatible with the standard metadata API. For the gist API any like is always case-insensitive.
For example, to only list organisations on 2nd level use
/api/organisationUnits/gist?filter=level:eq:2
Similarly, when listing the children of a particular organisation unit the collection can be filtered. To only list those children that are connected to a program one would use:
/api/organisationUnits/rZxk3S0qN63/children/gist?filter=programs:gt:0
headless ParameterEndpoints returning a list by default wrap the items with an envelope containing the pager and the list, which is named according to the type of object listed.
For example /api/organisationUnits/gist returns:
{
"pager": {
"page": 1,
"pageSize": 50,
"nextPage": "/organisationUnits/gist?page=2"
},
"organisationUnits": [
...
]
}
With headless=true the response to /api/organisationUnits/gist?headless=true is just the [...] list part in above example.
inverse ParameterThe inverse can be used in context of a collection field gist of the form /api/<object-type>/<object-id>/<field-name>/gist to not list all items that are contained in the member collection but all items that are not contained in the member collection.
For example, while
/api/organisationUnits/rZxk3S0qN63/children/gist
would list all organisation units that are children of rZxk3S0qN63 the inverse
/api/organisationUnits/rZxk3S0qN63/children/gist?inverse=true
would list all organisation units that are not children of rZxk3S0qN63. This would e.g. be used to compose a list of all units that can be made a child of a particular unit.
Filters and orders do apply normally, meaning they filter or order the items not contained in the member collection.
order ParameterTo sort the list of items one or more order expressions can be given.
An order expression is either just a field name of a persisted field or a field name followed by :asc (ascending order - the default) or :desc (descending order).
For example, to sort organisation units alphabetically by name use:
/api/organisationUnits/gist?order=name
Reverse alphabetical order would use:
/api/organisationUnits/gist?order=name:desc
To sort organisation units first by level, then by name use:
/api/organisationUnits/gist?order=level,name
This would start with root(s) at level 1. To start with the leaf units use:
/api/organisationUnits/gist?order=level:desc,name
If no order is specified the result list will have a stable order based on internal data organisation.
page ParameterRefers to the viewed page in paged list starting with 1 for the first page.
If no page parameter is present this is equal to page=1.
The page is always in relation to the pageSize. If a page is given beyond the number of existing matches an empty item list is returned.
pageSize ParameterRefers to the number of items on a page. Maximum is 1000 items.
If no pageSize parameter is present this is equal to pageSize=50.
rootJunction ParameterThe rootJunction parameter can be used to explicitly set the logic junction used between filters. Possible are:
AND: all filters have to match an entry for it to be included in the resultsOR: any of the filters matches an entry for it to be included in the resultsDefault is AND.
total ParameterBy default, a gist query will not count the total number of matches should those exceed the pageSize limit. Instead, we opt-in to the additional costs the total count implicates.
When not counting the total matches (total=false) the response pager will assume that there is a next page in case pageSize items were found. This could however turn out to be false when browsing to the page. Also, the total field stating the number of total matches is not included in the pager.
For example, /api/organisationUnits/gist returns a pager:
{
"pager": {
"page": 1,
"pageSize": 50,
"nextPage": "/organisationUnits/gist?page=2"
}
}
When counting the total matches (total=true) the response pager will contain the total field with the actual number of total matches at the cost of an additional database operation.
The response to /api/organisationUnits/gist?total=true now returns this pager:
{
"pager": {
"page": 1,
"pageSize": 50,
"total": 1332,
"nextPage": "/organisationUnits/gist?total=true&page=2",
"pageCount": 27
}
}
translate ParameterFields like name or shortName can be translated (internationalised).
By default, any translatable field that has a translation is returned translated given that the user requesting the gist has an interface language configured.
To return the plain non-translated field use translate=false.
For example, /api/organisationUnits/gist returns items like this:
{
"name": "A translated name",
...
}
Whereas /api/organisationUnits/gist?translate=false would return items like:
{
"name"
"Plain field name",
...
}
Note that synthetic fields displayName and displayShortName are always returning the translated value independent of the translate parameter.
The fields included by default (without fields parameter) correspond to fields=*. This means the list of fields shown depends on object type, endpoint context as well as the auto parameter.
Note that the /gist API always excludes certain fields that usually are of no interest to clients, like for example the translations or sharing fields. These can be added explicitly.
When not explicitly provided by name in the fields parameters the list of fields is computed from a preset. A preset can be used in the list of fields like a field name. It expands to zero, one or many fields depending on the object type, used endpoint and selector.
* / :all: default fields depend on the context and auto parameter:identifiable: all persisted fields of the IdentifiableObject interface:owner: all persisted fields where the listed type is the owner:nameable: all persisted fields of the NameableObject interface:persisted: literally all persisted fieldsA transformer or transformation can be applied to a field by appending any of the indicators ::, ~ or @ followed by the transformer expression.
Available transformer expressions are:
rename(<name>): renames the field in the response to <name>size => number: number of items in the collection fieldisEmpty => boolean: emptiness of a collection fieldisNotEmpty => boolean: non-emptiness of a collection fieldids => (array of) string: ID of an object or IDs of collection itemsid-objects => array of { "id": <id> }: IDs of collection items as objectmember(<id>) => boolean: has member with <id> for collection fieldnot-member(<id>) => boolean: not has member with <id> for collection fieldpluck(<field>) => (array of) string: extract single text property of the object or of each collection itemA field can receive both the rename transformer and one of the other transformers, for example:
/api/organisationUnits/gist?fields=*,children::size~rename(child-count)
The returned items now no longer have a chilren member but a child-count member instead. Note that rename also affects the member name of the URI reference given in apiEndpoints.
The /gist API is tightly coupled to properties that exist the database. This means properties that aren't stored in the database usually aren't available. The exception to this are the "synthetic" properties which are dynamically computed on the basis of one or more database stored properties.
Synthetic properties are available for all endpoints where the persisted properties needed to compute the synthetic property exist.
Except for the apiEndpoints property which is automatically added when needed all other synthetic properties are not included by default and have to be requested explicitly in the list of fields.
Synthetic fields in alphabetical order:
apiEndpoints: contains links to browse nested complex objects or collectionshref: link to the list item itself (single item view)displayName: translated name (always translated)displayShortName: translated displayName (always translated)href FieldEach item in a /gist response can link to itself. This link is given in the href property.
To add the href field use (for example):
/api/<object-type>/gist?fields=*,href
displayName and displayShortName FieldBy definition the displayName is the translated name and the displayShortName is the translated shortName.
To add displayName or displayShortName add it to the list use (for example):
/api/<object-type>/gist?fields=*,displayName
/api/<object-type>/gist?fields=*,displayShortName
Note that by default all translatable properties like name and shortName would also be translated. When translate=false is used to disable this displayName and displayShortName stay translated.
apiEndpoints FieldThis property provides the links to further browse complex objects or list of items that are included in the /gist response in form of a transformed simple value like an item count.
The apiEndpoints object will have a member of the same name for every member in the item that was transformed to a simple value.
For example, /api/users/gist?fields=id,userGroups::size,organisationUnits::size returns items in the form:
{
"id": "rWLrZL8rP3K",
"userGroups": 0,
"organisationUnits": 1,
"apiEndpoints": {
"organisationUnits": "/users/rWLrZL8rP3K/organisationUnits/gist",
"userGroups": "/users/rWLrZL8rP3K/userGroups/gist"
}
}
The list of userGroups and organisationUnits are included as their size. Each has a corresponding member in apiEndpoints with the path to browse the list.
The paths can be changed to URLs by using the absoluteUrls parameter.
/api/users/gist?fields=id,userGroups::size,organisationUnits::size&absoluteUrls=true
returns items in the form:
{
"id": "rWLrZL8rP3K",
"userGroups": 0,
"organisationUnits": 1,
"apiEndpoints": {
"organisationUnits": "http://{host}/api/users/rWLrZL8rP3K/organisationUnits/gist?absoluteUrls=true",
"userGroups": "http://{host}/api/users/rWLrZL8rP3K/userGroups/gist?absoluteUrls=true"
}
}
A few examples starting from simple listings moving to tips on very specific use cases.
It is preferable to always supply an explicit list of fields so this section will do so.
List organisation units with id and name:
/api/organisationUnits/gist?fields=id,name
List organisation units with id and name and total count:
/api/organisationUnits/gist?fields=id,name&total=true
List users with id and username:
/api/users/gist?fields=id,userCredentials.username
List users with id, username and last login date:
/api/users/gist?fields=id,userCredentials[username,lastLogin]
List only organisation units on second level with id, name and level:
/api/organisationUnits/gist?fields=id,name,level&filter=level:eq:2
List only organisation units that have more than 1 child with id, name and number of children:
/api/organisationUnits/gist?fields=id,name,children::size&filter=children:gt:1
List only organisation units that are not yet a children of another unit zFDYIgyGmXG:
/api/organisationUnits/zFDYIgyGmXG/children/gist?fields=id,name&inverse=true
List users and flag whether they are a member of a specific user group NTC8GjJ7p8P and name that field is-member in the response:
/api/users/gist?fields=id,userCredentials.username,userGroups::member(NTC8GjJ7p8P)~rename(is-member)
List links to all users in pages of 10 items:
/api/users/gist?fields=href&absoluteUrls&pageSize=10
This section is about sending and reading data values.
/api/33/dataValueSets
A common use-case for system integration is the need to send a set of data values from a third-party system into DHIS. In this example, we will use the DHIS2 demo on http://play.dhis2.org/demo as basis. We assume that we have collected case-based data using a simple software client running on mobile phones for the Mortality <5 years data set in the community of Ngelehun CHC (in Badjia chiefdom, Bo district) for the month of January 2014. We have now aggregated our data into a statistical report and want to send that data to the DHIS2 instance. The base URL to the demo API is http://play.dhis2.org/demo/api. The following links are relative to the base URL.
The resource which is most appropriate for our purpose of sending data values is the /api/dataValueSets resource. A data value set represents a set of data values which have a relationship, usually from being captured off the same data entry form. The format looks like this:
<dataValueSet xmlns="http://dhis2.org/schema/dxf/2.0" dataSet="dataSetID"
completeDate="date" period="period" orgUnit="orgUnitID" attributeOptionCombo="aocID">
<dataValue dataElement="dataElementID"
categoryOptionCombo="cocID" value="1" comment="comment1"/>
<dataValue dataElement="dataElementID"
categoryOptionCombo="cocID" value="2" comment="comment2"/>
<dataValue dataElement="dataElementID"
categoryOptionCombo="cocID" value="3" comment="comment3"/>
</dataValueSet>
JSON is supported in this format:
{
"dataSet": "dataSetID",
"completeDate": "date",
"period": "period",
"orgUnit": "orgUnitID",
"attributeOptionCombo": "aocID",
"dataValues": [
{
"dataElement": "dataElementID",
"categoryOptionCombo": "cocID",
"value": "1",
"comment": "comment1"
},
{
"dataElement": "dataElementID",
"categoryOptionCombo": "cocID",
"value": "2",
"comment": "comment2"
},
{
"dataElement": "dataElementID",
"categoryOptionCombo": "cocID",
"value": "3",
"comment": "comment3"
}
]
}
CSV is supported in this format:
"dataelement","period","orgunit","catoptcombo","attroptcombo","value","strby","lstupd","cmt"
"dataElementID","period","orgUnitID","cocID","aocID","1","username","2015-04-01","comment1"
"dataElementID","period","orgUnitID","cocID","aocID","2","username","2015-04-01","comment2"
"dataElementID","period","orgUnitID","cocID","aocID","3","username","2015-04-01","comment3"
Note
Please refer to the date and period section above for time formats.
From the example, we can see that we need to identify the period, the data set, the org unit (facility) and the data elements for which to report.
To obtain the identifier for the data set we make a request to the /api/dataSets resource. From there we find and follow the link to the Mortality < 5 years data set which leads us to /api/dataSets/pBOMPrpg1QX. The resource representation for the Mortality < 5 years data set conveniently advertises links to the data elements which are members of it. From here we can follow these links and obtain the identifiers of the data elements. For brevity we will only report on three data elements: Measles with id f7n9E0hX8qk, Dysentery with id Ix2HsbDMLea and Cholera with id eY5ehpbEsB7.
What remains is to get hold of the identifier of the organisation unit. The dataSet representation conveniently provides a link to organisation units which report on it so we search for Ngelehun CHC and follow the link to the HTML representation at /api/organisationUnits/DiszpKrYNg8, which tells us that the identifier of this org unit is DiszpKrYNg8.
From our case-based data, we assume that we have 12 cases of measles, 14 cases of dysentery and 16 cases of cholera. We have now gathered enough information to be able to put together the XML data value set message:
<dataValueSet xmlns="http://dhis2.org/schema/dxf/2.0" dataSet="pBOMPrpg1QX"
completeDate="2014-02-03" period="201401" orgUnit="DiszpKrYNg8">
<dataValue dataElement="f7n9E0hX8qk" value="12"/>
<dataValue dataElement="Ix2HsbDMLea" value="14"/>
<dataValue dataElement="eY5ehpbEsB7" value="16"/>
</dataValueSet>
In JSON format:
{
"dataSet": "pBOMPrpg1QX",
"completeDate": "2014-02-03",
"period": "201401",
"orgUnit": "DiszpKrYNg8",
"dataValues": [
{
"dataElement": "f7n9E0hX8qk",
"value": "1"
},
{
"dataElement": "Ix2HsbDMLea",
"value": "2"
},
{
"dataElement": "eY5ehpbEsB7",
"value": "3"
}
]
}
To perform functional testing we will use the curl tool which provides an easy way of transferring data using HTTP. First, we save the data value set XML content in a file called datavalueset.xml. From the directory where this file resides we invoke the following from the command line:
curl -d @datavalueset.xml "https://play.dhis2.org/demo/api/33/dataValueSets"
-H "Content-Type:application/xml" -u admin:district
For sending JSON content you must set the content-type header accordingly:
curl -d @datavalueset.json "https://play.dhis2.org/demo/api/33/dataValueSets"
-H "Content-Type:application/json" -u admin:district
The command will dispatch a request to the demo Web API, set application/xml as the content-type and authenticate using admin/district as username/password. If all goes well this will return a 200 OK HTTP status code. You can verify that the data has been received by opening the data entry module in DHIS2 and select the org unit, data set and period used in this example.
The API follows normal semantics for error handling and HTTP status codes. If you supply an invalid username or password, 401 Unauthorized is returned. If you supply a content-type other than application/xml, 415 Unsupported Media Type is returned. If the XML content is invalid according to the DXF namespace, 400 Bad Request is returned. If you provide an invalid identifier in the XML content, 409 Conflict is returned together with a descriptive message.
The previous example showed us how to send a set of related data values sharing the same period and organisation unit. This example will show us how to send large bulks of data values which don't necessarily are logically related.
Again we will interact with the /api/dataValueSets resource. This time we will not specify the dataSet and completeDate attributes. Also, we will specify the period and orgUnit attributes on the individual data value elements instead of on the outer data value set element. This will enable us to send data values for various periods and organisation units:
<dataValueSet xmlns="http://dhis2.org/schema/dxf/2.0">
<dataValue dataElement="f7n9E0hX8qk"
period="201401" orgUnit="DiszpKrYNg8" value="12"/>
<dataValue dataElement="f7n9E0hX8qk"
period="201401" orgUnit="FNnj3jKGS7i" value="14"/>
<dataValue dataElement="f7n9E0hX8qk"
period="201402" orgUnit="DiszpKrYNg8" value="16"/>
<dataValue dataElement="f7n9E0hX8qk"
period="201402" orgUnit="Jkhdsf8sdf4" value="18"/>
</dataValueSet>
In JSON format:
{
"dataValues": [
{
"dataElement": "f7n9E0hX8qk",
"period": "201401",
"orgUnit": "DiszpKrYNg8",
"value": "12"
},
{
"dataElement": "f7n9E0hX8qk",
"period": "201401",
"orgUnit": "FNnj3jKGS7i",
"value": "14"
},
{
"dataElement": "f7n9E0hX8qk",
"period": "201402",
"orgUnit": "DiszpKrYNg8",
"value": "16"
},
{
"dataElement": "f7n9E0hX8qk",
"period": "201402",
"orgUnit": "Jkhdsf8sdf4",
"value": "18"
}
]
}
In CSV format:
"dataelement","period","orgunit","categoryoptioncombo","attributeoptioncombo","value"
"f7n9E0hX8qk","201401","DiszpKrYNg8","bRowv6yZOF2","bRowv6yZOF2","1"
"Ix2HsbDMLea","201401","DiszpKrYNg8","bRowv6yZOF2","bRowv6yZOF2","2"
"eY5ehpbEsB7","201401","DiszpKrYNg8","bRowv6yZOF2","bRowv6yZOF2","3"
We test by using curl to send the data values in XML format:
curl -d @datavalueset.xml "https://play.dhis2.org/demo/api/33/dataValueSets"
-H "Content-Type:application/xml" -u admin:district
Note that when using CSV format you must use the binary data option to preserve the line-breaks in the CSV file:
curl --data-binary @datavalueset.csv "https://play.dhis2.org/demo/24/api/dataValueSets"
-H "Content-Type:application/csv" -u admin:district
The data value set resource provides an XML response which is useful when you want to verify the impact your request had. The first time we send the data value set request above the server will respond with the following import summary:
<importSummary>
<dataValueCount imported="2" updated="1" ignored="1"/>
<dataSetComplete>false</dataSetComplete>
</importSummary>
This message tells us that 3 data values were imported, 1 data value was updated while zero data values were ignored. The single update comes as a result of us sending that data value in the previous example. A data value will be ignored if it references a non-existing data element, period, org unit or data set. In our case, this single ignored value was caused by the last data value having an invalid reference to org unit. The data set complete element will display the date of which the data value set was completed, or false if no data element attribute was supplied.
The import process can be customized using a set of import parameters:
| Parameter | Values (default first) | Description |
|---|---|---|
| dataElementIdScheme | id | name | code | attribute:ID | Property of the data element object to use to map the data values. |
| orgUnitIdScheme | id | name | code | attribute:ID | Property of the org unit object to use to map the data values. |
| categoryOptionComboIdScheme | id | name | code | attribute:ID | Property of the category option combo and attribute option combo objects to use to map the data values. |
| idScheme | id | name | code| attribute:ID | Property of all objects including data elements, org units and category option combos, to use to map the data values. |
| preheatCache | false | true | Indicates whether to preload metadata caches before starting to import data values, will speed up large import payloads with high metadata cardinality. |
| dryRun | false | true | Whether to save changes on the server or just return the import summary. |
| importStrategy | CREATE | UPDATE | CREATE_AND_UPDATE | DELETE | Save objects of all, new or update import status on the server. |
| skipExistingCheck | false | true | Skip checks for existing data values. Improves performance. Only use for empty databases or when the data values to import do not exist already. |
| skipAudit | false | true | Skip audit, meaning audit values will not be generated. Improves performance at the cost of ability to audit changes. Requires authority "F_SKIP_DATA_IMPORT_AUDIT". |
| async | false | true | Indicates whether the import should be done asynchronous or synchronous. The former is suitable for very large imports as it ensures that the request does not time out, although it has a significant performance overhead. The latter is faster but requires the connection to persist until the process is finished. |
| force | false | true | Indicates whether the import should be forced. Data import could be rejected for various reasons of data set locking for example due to approval, data input period, expiry days, etc. In order to override such locks and force data input one can use data import with force=true. However, one needs to be a *superuser* for this parameter to work. |
All parameters are optional and can be supplied as query parameters in the request URL like this:
/api/33/dataValueSets?dataElementIdScheme=code&orgUnitIdScheme=name
&dryRun=true&importStrategy=CREATE
They can also be supplied as XML attributes on the data value set element like below. XML attributes will override query string parameters.
<dataValueSet xmlns="http://dhis2.org/schema/dxf/2.0" dataElementIdScheme="code"
orgUnitIdScheme="name" dryRun="true" importStrategy="CREATE">
</dataValueSet>
Note that the preheatCache parameter can have a huge impact on performance. For small import files, leaving it to false will be fast. For large import files which contain a large number of distinct data elements and organisation units, setting it to true will be orders of magnitude faster.
Data value import supports a set of value types. For each value type, there is a special requirement. The following table lists the edge cases for value types.
| Value type | Requirements | Comment |
|---|---|---|
| BOOLEAN | true | True | TRUE | false | False | FALSE | 1 | 0 | t | f | | Used when the value is a boolean, true or false value. The import service does not care if the input begins with an uppercase or lowercase letter, or if it's all uppercase. |
Regarding the id schemes, by default the identifiers used in the XML messages use the DHIS2 stable object identifiers referred to as UID. In certain interoperability situations we might experience that an external system decides the identifiers of the objects. In that case we can use the code property of the organisation units and other objects to set fixed identifiers. When importing data values we hence need to reference the code property instead of the identifier property of these metadata objects. Identifier schemes can be specified in the XML message as well as in the request as query parameters. To specify it in the XML payload you can do this:
<dataValueSet xmlns="http://dhis2.org/schema/dxf/2.0"
dataElementIdScheme="CODE" orgUnitIdScheme="UID" idScheme="CODE">
</dataValueSet>
The parameter table above explains how the id schemes can be specified as query parameters. The following rules apply for what takes precedence:
Id schemes defined in the XML or JSON payload take precedence over id schemes defined as URL query parameters.
Specific id schemes including dataElementIdScheme and orgUnitIdScheme take precedence over the general idScheme.
The default id scheme is UID, which will be used if no explicit id scheme is defined.
The following identifier schemes are available.
uid (default)
code
name
attribute (followed by UID of attribute)
The attribute option is special and refers to meta-data attributes which have been marked as unique. When using this option, attribute must be immediately followed by the identifier of the attribute, e.g. "attribute:DnrLSdo4hMl".
Data values can be sent and imported in an asynchronous fashion by supplying an async query parameter set to true:
/api/33/dataValueSets?async=true
This will initiate an asynchronous import job for which you can monitor the status at the task summaries API. The API response indicates the unique identifier of the job, type of job and the URL you can use to monitor the import job status. The response will look similar to this:
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "Initiated dataValueImport",
"response": {
"name": "dataValueImport",
"id": "YR1UxOUXmzT",
"created": "2018-08-20T14:17:28.429",
"jobType": "DATAVALUE_IMPORT",
"relativeNotifierEndpoint": "/api/system/tasks/DATAVALUE_IMPORT/YR1UxOUXmzT"
}
}
Please read the section on asynchronous task status for more information.
The following section describes the CSV format used in DHIS2. The first row is assumed to be a header row and will be ignored during import.
| Column | Required | Description |
| Data element | Yes | Refers to ID by default, can also be name and code based on selected id scheme |
| Period | Yes | In ISO format |
| Org unit | Yes | Refers to ID by default, can also be name and code based on selected id scheme |
| Category option combo | No | Refers to ID |
| Attribute option combo | No | Refers to ID (from version 2.16) |
| Value | No | Data value |
| Stored by | No | Refers to username of user who entered the value |
| Last updated | No | Date in ISO format |
| Comment | No | Free text comment |
| Follow up | No | true or false |
An example of a CSV file which can be imported into DHIS2 is seen below.
"dataelement","period","orgunit","catoptcombo","attroptcombo","value","storedby","timestamp"
"DUSpd8Jq3M7","201202","gP6hn503KUX","Prlt0C1RF0s",,"7","bombali","2010-04-17"
"DUSpd8Jq3M7","201202","gP6hn503KUX","V6L425pT3A0",,"10","bombali","2010-04-17"
"DUSpd8Jq3M7","201202","OjTS752GbZE","V6L425pT3A0",,"9","bombali","2010-04-06"
To generate a data value set template for a certain data set you can use the /api/dataSets/<id>/dataValueSet resource. XML and JSON response formats are supported. Example:
/api/dataSets/BfMAe6Itzgt/dataValueSet.json
The parameters you can use to further adjust the output are described below:
| Query parameter | Required | Description |
|---|---|---|
| period | No | Period to use, will be included without any checks. |
| orgUnit | No | Organisation unit to use, supports multiple orgUnits, both id and code can be used. |
| comment | No | Should comments be include, default: Yes. |
| orgUnitIdScheme | No | Organisation unit scheme to use, supports id | code. |
| dataElementIdScheme | No | Data-element scheme to use, supports id | code. |
This section explains how to retrieve data values from the Web API by interacting with the dataValueSets resource. Data values can be retrieved in XML, JSON and CSV format. Since we want to read data we will use the GET HTTP verb. We will also specify that we are interested in the XML resource representation by including an Accept HTTP header with our request. The following query parameters are required:
| Parameter | Description |
|---|---|
| dataSet | Data set identifier. Can be repeated any number of times. |
| dataElementGroup | Data element group identifier. Can be repeated any number of times. |
| period | Period identifier in ISO format. Can be repeated any number of times. |
| startDate | Start date for the time span of the values to export. |
| endDate | End date for the time span of the values to export. |
| orgUnit | Organisation unit identifier. Can be repeated any number of times. |
| children | Whether to include the children in the hierarchy of the organisation units. |
| orgUnitGroup | Organisation unit group identifier. Can be repeated any number of times. |
| attributeOptionCombo | Attribute option combo identifier. Can be repeated any number of times. |
| includeDeleted | Whether to include deleted data values. |
| lastUpdated | Include only data values which are updated since the given time stamp. |
| lastUpdatedDuration | Include only data values which are updated within the given duration. The format is <value><time-unit>, where the supported time units are "d" (days), "h" (hours), "m" (minutes) and "s" (seconds). |
| limit | The max number of results in the response. |
| idScheme | Property of meta data objects to use for data values in response. |
| dataElementIdScheme | Property of the data element object to use for data values in response. |
| orgUnitIdScheme | Property of the org unit object to use for data values in response. |
| categoryOptionComboIdScheme | Property of the category option combo and attribute option combo objects to use for data values in response. |
| dataSetIdScheme | Property of the data set object to use in the response. |
The following response formats are supported:
xml (application/xml)
json (application/json)
csv (application/csv)
adx (application/adx+xml)
Assuming that we have posted data values to DHIS2 according to the previous section called Sending data values we can now put together our request for a single data value set and request it using cURL:
curl "https://play.dhis2.org/demo/api/33/dataValueSets?dataSet=pBOMPrpg1QX&period=201401&orgUnit=DiszpKrYNg8"
-H "Accept:application/xml" -u admin:district
We can also use the start and end dates query parameters to request a larger bulk of data values. I.e. you can also request data values for multiple data sets and org units and a time span in order to export larger chunks of data. Note that the period query parameter takes precedence over the start and end date parameters. An example looks like this:
curl "https://play.dhis2.org/demo/api/33/dataValueSets?dataSet=pBOMPrpg1QX&dataSet=BfMAe6Itzgt
&startDate=2013-01-01&endDate=2013-01-31&orgUnit=YuQRtpLP10I&orgUnit=vWbkYPRmKyS&children=true"
-H "Accept:application/xml" -u admin:district
To retrieve data values which have been created or updated within the last 10 days you can make a request like this:
/api/dataValueSets?dataSet=pBOMPrpg1QX&orgUnit=DiszpKrYNg8&lastUpdatedDuration=10d
The response will look like this:
<?xml version='1.0' encoding='UTF-8'?>
<dataValueSet xmlns="http://dhis2.org/schema/dxf/2.0" dataSet="pBOMPrpg1QX"
completeDate="2014-01-02" period="201401" orgUnit="DiszpKrYNg8">
<dataValue dataElement="eY5ehpbEsB7" period="201401" orgUnit="DiszpKrYNg8"
categoryOptionCombo="bRowv6yZOF2" value="10003"/>
<dataValue dataElement="Ix2HsbDMLea" period="201401" orgUnit="DiszpKrYNg8"
categoryOptionCombo="bRowv6yZOF2" value="10002"/>
<dataValue dataElement="f7n9E0hX8qk" period="201401" orgUnit="DiszpKrYNg8"
categoryOptionCombo="bRowv6yZOF2" value="10001"/>
</dataValueSet>
You can request the data in JSON format like this:
/api/dataValueSets.json?dataSet=pBOMPrpg1QX&period=201401&orgUnit=DiszpKrYNg8
The response will look something like this:
{
"dataSet": "pBOMPrpg1QX",
"completeDate": "2014-02-03",
"period": "201401",
"orgUnit": "DiszpKrYNg8",
"dataValues": [
{
"dataElement": "eY5ehpbEsB7",
"categoryOptionCombo": "bRowv6yZOF2",
"period": "201401",
"orgUnit": "DiszpKrYNg8",
"value": "10003"
},
{
"dataElement": "Ix2HsbDMLea",
"categoryOptionCombo": "bRowv6yZOF2",
"period": "201401",
"orgUnit": "DiszpKrYNg8",
"value": "10002"
},
{
"dataElement": "f7n9E0hX8qk",
"categoryOptionCombo": "bRowv6yZOF2",
"period": "201401",
"orgUnit": "DiszpKrYNg8",
"value": "10001"
}
]
}
Note that data values are softly deleted, i.e. a deleted value has the deleted property set to true instead of being permanently deleted. This is useful when integrating multiple systems in order to communicate deletions. You can include deleted values in the response like this:
/api/33/dataValueSets.json?dataSet=pBOMPrpg1QX&period=201401
&orgUnit=DiszpKrYNg8&includeDeleted=true
You can also request data in CSV format like this:
/api/33/dataValueSets.csv?dataSet=pBOMPrpg1QX&period=201401
&orgUnit=DiszpKrYNg8
The response will look like this:
dataelement,period,orgunit,catoptcombo,attroptcombo,value,storedby,lastupdated,comment,flwup
f7n9E0hX8qk,201401,DiszpKrYNg8,bRowv6yZOF2,bRowv6yZOF2,12,system,2015-04-05T19:58:12.000,comment1,false
Ix2HsbDMLea,201401,DiszpKrYNg8,bRowv6yZOF2,bRowv6yZOF2,14,system,2015-04-05T19:58:12.000,comment2,false
eY5ehpbEsB7,201401,DiszpKrYNg8,bRowv6yZOF2,bRowv6yZOF2,16,system,2015-04-05T19:58:12.000,comment3,false
FTRrcoaog83,201401,DiszpKrYNg8,bRowv6yZOF2,bRowv6yZOF2,12,system,2014-03-02T21:45:05.519,comment4,false
The following constraints apply to the data value sets resource:
At least one data set must be specified.
Either at least one period or a start date and end date must be specified.
At least one organisation unit must be specified.
Organisation units must be within the hierarchy of the organisation units of the authenticated user.
Limit cannot be less than zero.
This example will show how to send individual data values to be saved in a request. This can be achieved by sending a POST request to the dataValues resource:
/api/dataValues
The following query parameters are supported for this resource:
| Query parameter | Required | Description |
|---|---|---|
| de | Yes | Data element identifier |
| pe | Yes | Period identifier |
| ou | Yes | Organisation unit identifier |
| co | No | Category option combo identifier, default will be used if omitted |
| cc | No (must be combined with cp) | Attribute category combo identifier |
| cp | No (must be combined with cc) | Attribute category option identifiers, separated with ; for multiple values |
| ds | No | Data set, to check if POST or DELETE is allowed for period and organisation unit. If specified, the data element must be assigned to this data set. If not specified, a data set containing the data element will be chosen to check if the operation is allowed. |
| value | No | Data value. For boolean values, the following will be accepted: true | True | TRUE | false | False | FALSE | 1 | 0 | t | f | |
| comment | No | Data comment |
| followUp | No | Follow up on data value, will toggle the current boolean value |
If any of the identifiers given are invalid, if the data value or comment is invalid or if the data is locked, the response will contain the 409 Conflict status code and descriptive text message. If the operation leads to a saved or updated value, 200 OK will be returned. An example of a request looks like this:
curl "https://play.dhis2.org/demo/api/33/dataValues?de=s46m5MS0hxu
&pe=201301&ou=DiszpKrYNg8&co=Prlt0C1RF0s&value=12"
-X POST -u admin:district
This resource also allows a special syntax for associating the value to an attribute option combination. This can be done by sending the identifier of the attribute category combination, together with the identifiers of the attribute category options which the value represents within the combination. The category combination is specified with the cc parameter, while the category options are specified as a semi-colon separated string with the cp parameter. It is necessary to ensure that the category options are all part of the category combination. An example looks like this:
curl "https://play.dhis2.org/demo/api/33/dataValues?de=s46m5MS0hxu&ou=DiszpKrYNg8
&pe=201308&cc=dzjKKQq0cSO&cp=wbrDrL2aYEc;btOyqprQ9e8&value=26"
-X POST -u admin:district
You can retrieve a data value with a request using the GET method. The value, comment and followUp params are not applicable in this regard:
curl "https://play.dhis2.org/demo/api/33/dataValues?de=s46m5MS0hxu
&pe=201301&ou=DiszpKrYNg8&co=Prlt0C1RF0s"
-u admin:district
You can delete a data value with a request using the DELETE method.
When dealing with data values which have a data element of type file there is some deviation from the method described above. These data values are special in that the contents of the value is a UID reference to a FileResource object instead of a self-contained constant. These data values will behave just like other data values which store text content, but should be handled differently in order to produce meaningful input and output.
There are two methods of storing FileResource data values.
The Easy Way: Upload the file to the /api/dataValues/file endpoint as described in the file resource section. This works on versions 2.36 and later.
The Hard Way: If you are writing code that needs to be compatible with versions of DHIS2 before 2.36, then the process is:
Upload the file to the /api/fileResources endpoint as described in the file resource section.
Retrieve the id property of the returned FileResource.
Store the retrieved id as the value to the data value using any of the methods described above.
Only one-to-one relationships between data values and file resources are allowed. This is enforced internally so that saving a file resource id in several data values is not allowed and will return an error. Deleting the data value will delete the referenced file resource. Direct deletion of file resources are not possible.
The data value can now be retrieved as any other but the returned data will be the UID of the file resource. In order to retrieve the actual contents (meaning the file which is stored in the file resource mapped to the data value) a GET request must be made to /api/dataValues/files mirroring the query parameters as they would be for the data value itself. The /api/dataValues/files endpoint only supports GET requests.
It is worth noting that due to the underlying storage mechanism working asynchronously the file content might not be immediately ready for download from the /api/dataValues/files endpoint. This is especially true for large files which might require time consuming uploads happening in the background to an external file store (depending on the system configuration). Retrieving the file resource meta-data from the /api/fileResources/<id> endpoint allows checking the storageStatus of the content before attempting to download it.
From version 2.20 we have included support for an international standard for aggregate data exchange called ADX. ADX is developed and maintained by the Quality Research and Public Health committee of the IHE (Integrating the HealthCare Enterprise). The wiki page detailing QRPH activity can be found at wiki.ihe.net. ADX is still under active development and has now been published for trial implementation. Note that what is implemented currently in DHIS2 is the functionality to read and write adx formatted data, i.e. what is described as Content Consumer and Content Producer actors in the ADX profile.
The structure of an ADX data message is quite similar to what you might already be familiar with from DXF 2 data described earlier. There are a few important differences. We will describe these differences with reference to a small example:
<adx xmlns="urn:ihe:qrph:adx:2015" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="urn:ihe:qrph:adx:2015 ../schema/adx_loose.xsd"
exported="2015-02-08T19:30:00Z">
<group orgUnit="OU_559" period="2015-06-01/P1M"
completeDate="2015-07-01" dataSet="(TB/HIV)VCCT">
<dataValue dataElement="VCCT_0" GENDER="FMLE" HIV_AGE="AGE0-14" value="32"/>
<dataValue dataElement="VCCT_1" GENDER="FMLE" HIV_AGE="AGE0-14" value="20"/>
<dataValue dataElement="VCCT_2" GENDER="FMLE" HIV_AGE="AGE0-14" value="10"/>
<dataValue dataElement="PLHIV_TB_0" GENDER="FMLE" HIV_AGE="AGE0-14" value="10"/>
<dataValue dataElement="PLHIV_TB_1" GENDER="FMLE" HIV_AGE="AGE0-14" value="10"/>
<dataValue dataElement="VCCT_0" GENDER="MLE" HIV_AGE="AGE0-14" value="32"/>
<dataValue dataElement="VCCT_1" GENDER="MLE" HIV_AGE="AGE0-14" value="20"/>
<dataValue dataElement="VCCT_2" GENDER="MLE" HIV_AGE="AGE0-14" value="10"/>
<dataValue dataElement="PLHIV_TB_0" GENDER="MLE" HIV_AGE="AGE0-14" value="10"/>
<dataValue dataElement="PLHIV_TB_1" GENDER="MLE" HIV_AGE="AGE0-14" value="10"/>
<dataValue dataElement="VCCT_0" GENDER="FMLE" HIV_AGE="AGE15-24" value="32"/>
<dataValue dataElement="VCCT_1" GENDER="FMLE" HIV_AGE="AGE15-24" value="20"/>
<dataValue dataElement="VCCT_2" GENDER="FMLE" HIV_AGE="AGE15-24" value="10"/>
<dataValue dataElement="PLHIV_TB_0" GENDER="FMLE" HIV_AGE="AGE15-24" value="10"/>
<dataValue dataElement="PLHIV_TB_1" GENDER="FMLE" HIV_AGE="AGE15-24" value="10"/>
<dataValue dataElement="VCCT_0" GENDER="MLE" HIV_AGE="AGE15-24" value="32"/>
<dataValue dataElement="VCCT_1" GENDER="MLE" HIV_AGE="AGE15-24" value="20"/>
<dataValue dataElement="VCCT_2" GENDER="MLE" HIV_AGE="AGE15-24" value="10"/>
<dataValue dataElement="PLHIV_TB_0" GENDER="MLE" HIV_AGE="AGE15-24" value="10"/>
<dataValue dataElement="PLHIV_TB_1" GENDER="MLE" HIV_AGE="AGE15-24" value="10"/>
</group>
</adx>
The adx root element has only one mandatory attribute, which is the exported timestamp. In common with other adx elements, the schema is extensible in that it does not restrict additional application specific attributes.
Unlike dxf2, adx requires that the datavalues are grouped according to orgUnit, period and dataSet. The example above shows a data report for the "(TB/HIV) VCCT" dataset from the online demo database. This example is using codes as identifiers instead of dhis2 uids. Codes are the preferred form of identifier when using adx.
The orgUnit, period and dataSet attributes are mandatory in adx. The group element may contain additional attributes. In our DHIS2 implementation any additional attributes are simply passed through to the underlying importer. This means that all attributes which currently have meaning in dxf2 (such as completeDate in the example above) can continue to be used in adx and they will be processed in the same way.
A significant difference between adx and dxf2 is in the way that periods are encoded. Adx makes strict use of ISO8601 and encodes the reporting period as (date|datetime)/(duration). So the period in the example above is a period of 1 month (P1M) starting on 2015-06-01. So it is the data for June 2015. The notation is a bit more verbose, but it is very flexible and allows us to support all existing period types in DHIS2
DHIS2 supports a limited number of periods or durations during import. Periods should begin with the date in which the duration begins, followed by a "/" and then the duration notation as noted in the table. The following table details all of the ADX supported period types, along with examples.
| Period type | Duration notation | Example | Duration |
|---|---|---|---|
| Daily | P1D | 2017-10-01/P1M | Oct 01 2017 |
| Weekly | P7D | 2017-10-01/P7D | Oct 01 2017-Oct 07-2017 |
| Monthly | P1M | 2017-10-01/P1M | Oct 01 2017-Oct 31 2017 |
| Bi-monthly | P2M | 2017-11-01/P2M | Nov 01 2017-Dec 31 2017 |
| Quarterly | P3M | 2017-09-01/P3M | Sep 01 2017-Dec 31 2017 |
| Six-monthly | P6M | 2017-01-01/P6M | Jan 01 2017-Jun 30 2017 |
| Yearly | P1Ý | 2017-01-01/P1Y | Jan 01 2017-Dec 31 2017 |
| Financial October | P1Y | 2017-10-01/P1Y | Oct 01 2017-Sep 30 2018 |
| Financial April | P1Y | 2017-04-01/P1Y | April 1 2017-Mar 31 2018 |
| Financial July | P1Y | 2017-07-01/P1Y | July 1 2017-June 30 2018 |
The dataValue element in adx is very similar to its equivalent in DXF. The mandatory attributes are dataElement and value. The orgUnit and period attributes don't appear in the dataValue as they are required at the group level.
The most significant difference is the way that disaggregation is represented. DXF uses the categoryOptionCombo to indicate the disaggregation of data. In adx the disaggregations (e.g. AGE*GROUP and SEX) are expressed explicitly as attributes. One important constraint on using adx is that the categories used for dataElements in the dataSet MUST have a code assigned to them, and further, that code must be of a form which is suitable for use as an XML attribute. The exact constraint on an XML attribute name is described in the W3C XML standard - in practice, this means no spaces, no non-alphanumeric characters other than '*' and it may not start with a letter. The example above shows examples of 'good' category codes ('GENDER' and 'HIV_AGE').
This restriction on the form of codes applies only to categories. Currently, the convention is not enforced by DHIS2 when you are assigning codes, but you will get an informative error message if you try to import adx data and the category codes are either not assigned or not suitable.
The main benefits of using explicit dimensions of disaggregated data are that
The system producing the data does not have to be synchronised with the categoryOptionCombo within DHIS2.
The producer and consumer can match their codes to a 3rd party authoritative source, such as a vterminology service. Note that in the example above the Gender and AgeGroup codes are using code lists from the WHO Global Health Observatory.
Note that this feature may be extremely useful, for example when producing disaggregated data from an EMR system, but there may be cases where a categoryOptionCombo mapping is easier or more desirable. The DHIS2 implementation of adx will check for the existence of a categoryOptionCombo attribute and, if it exists, it will use that it preference to exploded dimension attributes. Similarly, an attributeOptionCombo attribute on the group element will be processed in the legacy way. Otherwise, the attributeOptionCombo can be treated as exploded categories just as on the dataValue.
In the simple example above, each of the dataElements in the dataSet have the same dimensionality (categorycombo) so the data is neatly rectangular. This need not be the case. dataSets may contain dataElements with different categoryCombos, resulting in a ragged-right adx data message.
DHIS2 exposes an endpoint for POST adx data at /api/dataValueSets using application/xml+adx as content type. So, for example, the following curl command can be used to POST the example data above to the DHIS2 demo server:
curl -u admin:district -X POST -H "Content-Type: application/adx+xml"
-d @data.xml "https://play.dhis2.org/demo/api/33/dataValueSets?dataElementIdScheme=code&orgUnitIdScheme=code"
Note the query parameters are the same as are used with DXF data. The adx endpoint should interpret all the existing DXF parameters with the same semantics as DXF.
DHIS2 exposes an endpoint to GET adx data sets at /api/dataValueSets using application/xml+adx as the accepted content type. So, for example, the following curl command can be used to retrieve the adx data:
curl -u admin:district -H "Accept: application/adx+xml"
"https://play.dhis2.org/demo/api/33/dataValueSets?dataValueSets?orgUnit=M_CLINIC&dataSet=MALARIA&period=201501"
Note the query parameters are the same as are used with DXF data. An important difference is that the identifiers for dataSet and orgUnit are assumed to be codes rather than uids.
This section covers marking data for follow-up.
The data value follow-up endpoint allows for marking data values for follow-up.
PUT /api/36/dataValues/followup
The payload in JSON format looks like this:
{
"dataElement": "s46m5MS0hxu",
"period": "202005",
"orgUnit": "DiszpKrYNg8",
"categoryOptionCombo": "psbwp3CQEhs",
"attributeOptionCombo": "HllvX50cXC0",
"followup": true
}
The categoryOptionCombo and attributeOptionCombo fields are optional. A minimal JSON payload looks like this:
{
"dataElement": "s46m5MS0hxu",
"period": "202005",
"orgUnit": "DiszpKrYNg8",
"followup": false
}
The followup field should be set to true to mark a data value for follow-up, and false to remove the mark.
The response status code will be 200 OK if the operation was successful, and 409 Conflict in case of an error with the request.
To generate a data validation summary you can interact with the validation resource. The dataSet resource is optimized for data entry clients for validating a data set / form, and can be accessed like this:
GET /api/33/validation/dataSet/QX4ZTUbOt3a.json?pe=201501&ou=DiszpKrYNg8
In addition to validate rules based on data set, there are two additional methods for performing validation: Custom validation and Scheduled validation.
The first path variable is an identifier referring to the data set to validate. XML and JSON resource representations are supported. The response contains violations of validation rules. This will be extended with more validation types in the coming versions.
To retrieve validation rules which are relevant for a specific data set, meaning validation rules with formulas where all data elements are part of the specific data set, you can make a GET request to to validationRules resource like this:
GET /api/validationRules?dataSet=<dataset-id>
The validation rules have a left side and a right side, which is compared for validity according to an operator. The valid operator values are found in the table below.
| Value | Description |
|---|---|
| equal_to | Equal to |
| not_equal_to | Not equal to |
| greater_than | Greater than |
| greater_than_or_equal_to | Greater than or equal to |
| less_than | Less than |
| less_than_or_equal_to | Less than or equal to |
| compulsory_pair | If either side is present, the other must also be |
| exclusive_pair | If either side is present, the other must not be |
The left side and right side expressions are mathematical expressions which can contain references to data elements and category option combinations on the following format:
${<dataelement-id>.<catoptcombo-id>}
The left side and right side expressions have a missing value strategy. This refers to how the system should treat data values which are missing for data elements / category option combination references in the formula in terms of whether the validation rule should be checked for validity or skipped. The valid missing value strategies are found in the table below.
| Value | Description |
|---|---|
| SKIP_IF_ANY_VALUE_MISSING | Skip validation rule if any data value is missing |
| SKIP_IF_ALL_VALUES_MISSING | Skip validation rule if all data values are missing |
| NEVER_SKIP | Never skip validation rule irrespective of missing data values |
Validation results are persisted results of violations found during a validation analysis. If you choose "persist results" when starting or scheduling a validation analysis, any violations found will be stored in the database. When a result is stored in the database it will be used for 3 things:
Generating analytics based on the stored results.
Persisted results that have not generated a notification, will do so, once.
Keeping track of whether or not the result has generated a notification.
Skipping rules that have been already checked when running validation analysis.
This means if you don't persist your results, you will be unable to generate analytics for validation results, if checked, results will generate notifications every time it's found and running validation analysis might be slower.
The validation results persisted can be viewed at the following endpoint:
GET /api/33/validationResults
You can also inspect an individual result using the validation result id in this endpoint:
GET /api/33/validationResults/<id>
Validation results can also be filtered by following properties:
ou=<UID>vr=<UID>pe=<ISO-expression>Each of the above filter properties can occur multiple times, for example:
GET /api/36/validationResults?ou=jNb63DIHuwU&ou=RzgSFJ9E46G
Multiple values for the same filter are combined with OR, results have to match one of the given values.
If more then one filter properties is used these are combined with AND, results have to match one of the values for each of the properties.
For the period filter matching results have to overlap with any of the specified periods.
In addition the validation results can also be filtered on their creation date:
GET /api/36/validationResults?createdDate=<date>
This filter can be combined with any of the other filters.
Validation results are sent out to the appropriate users once every day, but can also be manually triggered to run on demand using the following API endpoint:
POST /api/33/validation/sendNotifications
Only unsent results are sent using this endpoint.
Validation results can be manually deleted by ID,
DELETE /api/36/validationResults/<id>
or using filters
DELETE /api/36/validationResults?<filters>
Supported filter parameters include:
ou=<UID> to match all validation results of an organisation unit; multiple units combine OR when the parameter is provided more than oncevr=<UID> to match all validation results of a validation rule; multiple rules combine OR when the parameter is provided more than oncepe=<ISO-expression> to match all validation results related to a period that overlaps with the specified periodcreated=<ISO-expression> to match all validation results that were created within the provided periodnotificationSent=<boolean> to match either only validation results for which a notification was or wasn't sentIf filters are combined all conditions have to be true (AND logic).
Some examples:
To delete all validation results related the organisation unit with UID NqwvaQC1ni4 for Q1 of 2020 use:
DELETE /api/36/validationResults?ou=NqwvaQC1ni4&pe=2020Q1
To delete all validation results that were created in week 1 of 2019 and for which notification has been sent use:
DELETE /api/36/validationResults?created=2019W1¬ificationSent=true
Any delete operation will require the authority Perform maintenance tasks.
The outlier detection endpoint allows for for detecting outliers in aggregate data values.
GET /api/36/outlierDetection
This endpoint supports two algorithms for detecting outliers:
The outlier values will be ordered according to significance, by default by the absolute deviation from the mean, with the most significant value first. This is helpful to quickly identify the outlier values which have the biggest impact on data quality and data analytics.
The following query parameters are supported.
| Query parameter | Description | Mandatory | Options (default first) |
|---|---|---|---|
| ds | Data set, can be specified multiple times. | No [*] | Data set identifier. |
| de | Data element, can be specified multiple times. | No [*] | Data element identifier. |
| startDate | Start date for interval to check for outliers. | Yes | Date (yyyy-MM-dd). |
| endDate | End date for interval to check for outliers. | Yes | Date (yyyy-MM-dd). |
| ou | Organisation unit, can be specified multiple times. | Yes | Organisation unit identifier. |
| algorithm | Algorithm to use for outlier detection. | No | Z_SCORE, MIN_MAX |
| threshold | Threshold for outlier values. Z_SCORE algorithm only. | No | Numeric, greater than zero. Default: 3.0. |
| dataStartDate | Start date for interval for mean and std dev calculation. Z_SCORE algorithm only. | No | Date (yyyy-MM-dd). |
| dataEndDate | End date for interval for mean and std dev calculation. Z_SCORE algorithm only. | No | Date (yyyy-MM-dd). |
| orderBy | Field to order by. Z_SCORE algorithm only. | No | MEAN_ABS_DEV, Z_SCORE |
| maxResults | Max limit for the output. | No | Integer, greater than zero. Default: 500. |
[*] You must specify either data sets with the ds parameter, which will include all data elements in the data sets, or specify data elements with the de parameter.
At least one data set or data element, start date and end date, and at least one organisation unit must be defined.
The startDate and endDate parameters are mandatory and refer to the time interval for which you want to detect outliers. The dataStartDate and dataEndDate parameters are optional and refer to the time interval for the data to use when calculating the mean and std dev, which are used to eventually calculate the z-score.
Get outlier values using the default z-score algorithm:
GET /api/36/outlierDetection?ds=BfMAe6Itzgt&ds=QX4ZTUbOt3a
&ou=O6uvpzGd5pu&ou=fdc6uOvgoji&startDate=2020-01-01&endDate=2020-12-31
Get outlier values using a specific algorithm and a specific threshold:
GET /api/36/outlierDetection?ds=BfMAe6Itzgt&ds=QX4ZTUbOt3a
&ou=O6uvpzGd5pu&startDate=2020-01-01&endDate=2020-12-31
&algorithm=Z_SCORE&threshold=2.5
Get outlier values ordered by z-score:
GET /api/36/outlierDetection?ds=BfMAe6Itzgt
&ou=O6uvpzGd5pu&startDate=2020-01-01&endDate=2020-12-31
&orderBy=Z_SCORE
Get the top 10 outlier values:
GET /api/36/outlierDetection?ds=BfMAe6Itzgt
&ou=O6uvpzGd5pu&startDate=2020-01-01&endDate=2020-12-31
&maxResults=10
Get outlier values with a defined interval for data to use when calculating the mean and std dev:
GET /api/36/outlierDetection?ds=BfMAe6Itzgt
&ou=O6uvpzGd5pu&startDate=2020-01-01&endDate=2020-12-31
&dataStartDate=2018-01-01&dataEndDate=2020-12-31
Get outlier values using the min-max algorithm:
GET /api/36/outlierDetection?ds=BfMAe6Itzgt&ds=QX4ZTUbOt3a
&ou=O6uvpzGd5pu&ou=fdc6uOvgoji&startDate=2020-01-01&endDate=2020-12-31
&algorithm=MIN_MAX
The following response formats are supported.
| Format | API format |
|---|---|
| JSON | /api/36/outlierDetection.json or Accept: application/json (default format) |
| CSV | /api/36/outlierDetection.csv or Accept: application/csv |
The response contains the following fields:
| Field | Description |
|---|---|
| de | Data element identifier. |
| deName | Data element name. |
| pe | Period ISO identifier. |
| ou | Organisation unit identifier. |
| ouName | Organisation unit name. |
| coc | Category option combination identifier. |
| cocName | Category option combination name. |
| aoc | Attribute option combination identifier. |
| aocName | Attribute option combination name. |
| value | Data value. |
| mean | Mean of data values in the time dimension. |
| stdDev | Standard deviation. |
| absDev | For z-score, absolute deviation from the mean. For min-max, absolute deviation from the min or max boundary. |
| zScore | The z-score. Z-score algorithm only. |
| lowerBound | The lower boundary. |
| upperBound | The upper boundary. |
| followUp | Whether data value is marked for follow-up. |
The mean, stdDev and zScore fields are only present when algorithm is Z_SCORE.
The response will look similar to this. The metadata section contains metadata for the request and response. The outlierValues section contains the outlier values.
{
"metadata": {
"algorithm": "Z_SCORE",
"threshold": 2.5,
"orderBy": "MEAN_ABS_DEV",
"maxResults": 10,
"count": 10
},
"outlierValues": [
{
"de": "rbkr8PL0rwM",
"deName": "Iron Folate given at ANC 3rd",
"pe": "202011",
"ou": "Pae8DR7VmcL",
"ouName": "MCH (Kakua) Static",
"coc": "pq2XI5kz2BY",
"cocName": "Fixed",
"aoc": "HllvX50cXC0",
"aocName": "default",
"value": 9000.0,
"mean": 1524.5555,
"stdDev": 2654.4661,
"absDev": 7475.4444,
"zScore": 2.8161,
"lowerBound": -5111.6097,
"upperBound": 8160.7208,
"followUp": false
},
{
"de": "rbkr8PL0rwM",
"deName": "Iron Folate given at ANC 3rd",
"pe": "202010",
"ou": "vELbGdEphPd",
"ouName": "Jimmi CHC",
"coc": "pq2XI5kz2BY",
"cocName": "Fixed",
"aoc": "HllvX50cXC0",
"aocName": "default",
"value": 8764.0,
"mean": 1448.0833,
"stdDev": 2502.3031,
"absDev": 7315.9166,
"zScore": 2.9236,
"lowerBound": -4807.6745,
"upperBound": 7703.8412,
"followUp": false
}
]
}
The following constraints apply during query validation. Each validation error has a corresponding error code.
| Error code | Message |
|---|---|
| E2200 | At least one data element must be specified |
| E2201 | Start date and end date must be specified |
| E2202 | Start date must be before end date |
| E2203 | At least one organisation unit must be specified |
| E2204 | Threshold must be a positive number |
| E2205 | Max results must be a positive number |
| E2206 | Max results exceeds the allowed max limit: {d} |
| E2207 | Data start date must be before data end date |
| E2208 | Non-numeric data values encountered during outlier value detection |
Several resources for performing data analysis and finding data quality and validation issues are provided.
Note: This endpoint is deprecated and will be removed in 2.38. Use the outlierAnalysis endpoint instead.
To run validation rules and retrieve violations:
GET /api/dataAnalysis/validationRules
The following query parameters are supported:
| Query parameter | Description | Option |
|---|---|---|
| vrg | Validation rule group | ID |
| ou | Organisation unit | ID |
| startDate | Start date for the timespan | Date |
| endDate | End date for the timespan | Date |
| persist | Whether to persist violations in the system | false | true |
| notification | Whether to send notifications about violations | false | true |
Sample output:
[
{
"validationRuleId": "kgh54Xb9LSE",
"validationRuleDescription": "Malaria outbreak",
"organisationUnitId": "DiszpKrYNg8",
"organisationUnitDisplayName": "Ngelehun CHC",
"organisationUnitPath": "/ImspTQPwCqd/O6uvpzGd5pu/YuQRtpLP10I/DiszpKrYNg8",
"organisationUnitAncestorNames": "Sierra Leone / Bo / Badjia / ",
"periodId": "201901",
"periodDisplayName": "January 2019",
"attributeOptionComboId": "HllvX50cXC0",
"attributeOptionComboDisplayName": "default",
"importance": "MEDIUM",
"leftSideValue": 10.0,
"operator": ">",
"rightSideValue": 14.0
},
{
"validationRuleId": "ZoG4yXZi3c3",
"validationRuleDescription": "ANC 2 cannot be higher than ANC 1",
"organisationUnitId": "DiszpKrYNg8",
"organisationUnitDisplayName": "Ngelehun CHC",
"organisationUnitPath": "/ImspTQPwCqd/O6uvpzGd5pu/YuQRtpLP10I/DiszpKrYNg8",
"organisationUnitAncestorNames": "Sierra Leone / Bo / Badjia / ",
"periodId": "201901",
"periodDisplayName": "January 2019",
"attributeOptionComboId": "HllvX50cXC0",
"attributeOptionComboDisplayName": "default",
"importance": "MEDIUM",
"leftSideValue": 22.0,
"operator": "<=",
"rightSideValue": 19.0
}
]
To identify data outliers based on standard deviations of the average value:
GET /api/dataAnalysis/stdDevOutlier
The following query parameters are supported:
| Query parameter | Description | Option |
|---|---|---|
| ou | Organisation unit | ID |
| startDate | Start date for the timespan | Date |
| endDate | End date for the timespan | Date |
| ds | Data sets, parameter can be repeated | ID |
| standardDeviation | Number of standard deviations from the average | Numeric value |
To identify data outliers based on min/max values:
GET /api/dataAnalysis/minMaxOutlier
The supported query parameters are equal to the std dev based outlier analysis resource described above.
To identify data marked for follow-up:
GET /api/dataAnalysis/followup
The supported query parameters are equal to the std dev based outlier analysis resource described above.
The data integrity capabilities of the data administration module are available through the web API. This section describes how to run the data integrity process as well as retrieving the result. The details of the analysis performed are described in the user manual.
The operation of measuring data integrity is a fairly resource (and time) demanding task. It is therefore run as an asynchronous process and only when explicitly requested. Starting the task is done by forming an empty POST request to the dataIntegrity endpoint:
POST /api/dataIntegrity
If successful the request will return HTTP 202 immediately. The location header of the response points to the resource used to check the status of the request. The payload also contains a json object of the job created. Forming a GET request to the given location yields an empty JSON response if the task has not yet completed and a JSON taskSummary object when the task is done. Polling (conservatively) to this resource can hence be used to wait for the task to finish.
Once data integrity is finished running the result can be fetched from the system/taskSummaries resource like so:
GET /api/system/taskSummaries/DATA_INTEGRITY
The returned object contains a summary for each point of analysis, listing the names of the relevant integrity violations. As stated in the leading paragraph for this section the details of the analysis (and the resulting data) can be found in the user manual chapter on Data Administration.
This section is about complete data set registrations for data sets. A registration marks as a data set as completely captured.
This section explains how to register data sets as complete. This is achieved by interacting with the completeDataSetRegistrations resource:
GET /api/33/completeDataSetRegistrations
The endpoint supports the POST method for registering data set completions. The endpoint is functionally very similar to the dataValueSets endpoint, with support for bulk import of complete registrations.
Importing both XML and JSON formatted payloads are supported. The basic format of this payload, given as XML in this example, is like so:
<completeDataSetRegistrations xmlns="http://dhis2.org/schema/dxf/2.0">
<completeDataSetRegistration period="200810" dataSet="eZDhcZi6FLP"
organisationUnit="qhqAxPSTUXp" attributeOptionCombo="bRowv6yZOF2" storedBy="imported"/>
<completeDataSetRegistration period="200811" dataSet="eZDhcZi6FLP"
organisationUnit="qhqAxPSTUXp" attributeOptionCombo="bRowv6yZOF2" storedBy="imported"/>
</completeDataSetRegistrations>
The storedBy attribute is optional (as it is a nullable property on the complete registration object). You can also optionally set the date property (time of registration) as an attribute. It the time is not set, the current time will be used.
The import process supports the following query parameters:
| Parameter | Values | Description |
|---|---|---|
| dataSetIdScheme | id | name | code | attribute:ID | Property of the data set to use to map the complete registrations. |
| orgUnitIdScheme | id | name | code | attribute:ID | Property of the organisation unit to use to map the complete registrations. |
| attributeOptionComboIdScheme | id | name | code | attribute:ID | Property of the attribute option combos to use to map the complete registrations. |
| idScheme | id | name | code | attribute:ID | Property of all objects including data sets, org units and attribute option combos, to use to map the complete registrations. |
| preheatCache | false | true | Whether to save changes on the server or just return the import summary. |
| dryRun | false | true | Whether registration applies to sub units |
| importStrategy | CREATE | UPDATE | CREATE_AND_UPDATE | DELETE | Save objects of all, new or update import status on the server. |
| skipExistingCheck | false | true | Skip checks for existing complete registrations. Improves performance. Only use for empty databases or when the registrations to import do not exist already. |
| async | false | true | Indicates whether the import should be done asynchronous or synchronous. The former is suitable for very large imports as it ensures that the request does not time out, although it has a significant performance overhead. The latter is faster but requires the connection to persist until the process is finished. |
This section explains how to retrieve data set completeness registrations. We will be using the completeDataSetRegistrations resource. The query parameters to use are these:
| Parameter | Description |
|---|---|
| dataSet | Data set identifier, multiple data sets are allowed |
| period | Period identifier in ISO format. Multiple periods are allowed. |
| startDate | Start date for the time span of the values to export |
| endDate | End date for the time span of the values to export |
| created | Include only registrations which were created since the given timestamp |
| createdDuration | Include only registrations which were created within the given duration. The format is <value><time-unit>, where the supported time units are "d", "h", "m", "s" (days, hours, minutes, seconds). The time unit is relative to the current time. |
| orgUnit | Organisation unit identifier, can be specified multiple times. Not applicable if orgUnitGroup is given. |
| orgUnitGroup | Organisation unit group identifier, can be specified multiple times. Not applicable if orgUnit is given. |
| children | Whether to include the children in the hierarchy of the organisation units |
| limit | The maximum number of registrations to include in the response. |
| idScheme | Identifier property used for meta data objects in the response. |
| dataSetIdScheme | Identifier property used for data sets in the response. Overrides idScheme. |
| orgUnitIdScheme | Identifier property used for organisation units in the response. Overrides idScheme. |
| attributeOptionComboIdScheme | Identifier property used for attribute option combos in the response. Overrides idScheme. |
The dataSet and orgUnit parameters can be repeated in order to include multiple data sets and organisation units.
The period, startDate, endDate, created and createdDuration parameters provide multiple ways to set the time dimension for the request, thus only one can be used. For example, it doesn't make sense to both set the start/end date and to set the periods.
An example request looks like this:
GET /api/33/completeDataSetRegistrations?dataSet=pBOMPrpg1QX&dataSet=pBOMPrpg1QX
&startDate=2014-01-01&endDate=2014-01-31&orgUnit=YuQRtpLP10I
&orgUnit=vWbkYPRmKyS&children=true
You can get the response in xml and json format. You can indicate which response format you prefer through the Accept HTTP header like in the example above. For xml you use application/xml; for json you use application/json.
This section explains how you can un-register the completeness of a data set. To un-complete a data set you will interact with the completeDataSetRegistrations resource:
GET /api/33/completeDataSetRegistrations
This resource supports DELETE for un-registration. The following query parameters are supported:
| Query parameter | Required | Description |
|---|---|---|
| ds | Yes | Data set identifier |
| pe | Yes | Period identifier |
| ou | Yes | Organisation unit identifier |
| cc | No (must combine with cp) | Attribute combo identifier (for locking check) |
| cp | No (must combine with cp) | Attribute option identifiers, separated with ; for multiple values (for locking check) |
| multiOu | No (default false) | Whether registration applies to sub units |
This section explains how to approve, unapprove and check approval status using the dataApprovals resource. Approval is done per data approval workflow, period, organisation unit and attribute option combo.
/api/33/dataApprovals
A data approval workflow is associated with several entities:
To get approval information for a data set you can issue a GET request:
/api/dataApprovals?wf=rIUL3hYOjJc&pe=201801&ou=YuQRtpLP10I
| Query parameter | Required | Description |
|---|---|---|
| wf | Yes | Data approval workflow identifier |
| pe | Yes | Period identifier |
| ou | Yes | Organisation unit identifier |
| aoc | No | Attribute option combination identifier |
Note
For backward compatibility, the parameter
dsfor data set may be given instead ofwffor workflow in this and other data approval requests as described below. If the data set is given, the workflow associated with that data set will be used.
This will produce a response similar to this:
{
"mayApprove": false,
"mayUnapprove": false,
"mayAccept": false,
"mayUnaccept": false,
"state": "UNAPPROVED_ELSEWHERE"
}
The returned parameters are:
| Return Parameter | Description |
|---|---|
| mayApprove | Whether the current user may approve this data selection. |
| mayUnapprove | Whether the current user may unapprove this data selection. |
| mayAccept | Whether the current user may accept this data selection. |
| mayUnaccept | Whether the current user may unaccept this data selection. |
| state | One of the data approval states from the table below. |
| State | Description |
|---|---|
| UNAPPROVABLE | Data approval does not apply to this selection. (Data is neither approved nor unapproved.) |
| UNAPPROVED_WAITING | Data could be approved for this selection, but is waiting for some lower-level approval before it is ready to be approved. |
| UNAPPROVED_ELSEWHERE | Data is unapproved, and is waiting for approval somewhere else (not approvable here.) |
| UNAPPROVED_READY | Data is unapproved, and is ready to be approved for this selection. |
| APPROVED_HERE | Data is approved, and was approved here (so could be unapproved here.) |
| APPROVED_ELSEWHERE | Data is approved, but was not approved here (so cannot be unapproved here.) This covers the following cases:
|
| ACCEPTED_HERE | Data is approved and accepted here (so could be unapproved here.) |
| ACCEPTED_ELSEWHERE | Data is approved and accepted, but elsewhere. |
Note that when querying for the status of data approval, you may specify any combination of the query parameters. The combination you specify does not need to describe the place where data is to be approved at one of the approval levels. For example:
The organisation unit might not be at an approval level. The approval status is determined by whether data is approved at an approval level for an ancestor of the organisation unit.
You may specify individual attribute category options. The approval status is determined by whether data is approved for an attribute category option combination that includes one or more of these options.
You may specify a time period that is longer than the period for the data set at which the data is entered and approved. The approval status is determined by whether the data is approved for all the data set periods within the period you specify.
For data sets which are associated with a category combo you might want to fetch data approval records for individual attribute option combos from the following resource with a GET request:
/api/dataApprovals/categoryOptionCombos?wf=rIUL3hYOjJc&pe=201801&ou=YuQRtpLP10I
To get a list of multiple approval statuses, you can issue a GET request similar to this:
/api/dataApprovals/approvals?wf=rIUL3hYOjJc&pe=201801,201802&ou=YuQRtpLP10I
The parameters wf, pe, ou, and aoc are the same as for getting a single approval status, except that you can provide a comma-separated list of one or more values for each parameter.
This will give you a response containing a list of approval parameters and statuses, something like this:
[
{
"aoc": "HllvX50cXC0",
"pe": "201801",
"level": "KaTJLhGmU95",
"ou": "YuQRtpLP10I",
"permissions": {
"mayApprove": false,
"mayUnapprove": true,
"mayAccept": true,
"mayUnaccept": false,
"mayReadData": true
},
"state": "APPROVED_HERE",
"wf": "rIUL3hYOjJc"
},
{
"aoc": "HllvX50cXC0",
"pe": "201802",
"ou": "YuQRtpLP10I",
"permissions": {
"mayApprove": true,
"mayUnapprove": false,
"mayAccept": false,
"mayUnaccept": false,
"mayReadData": true
},
"state": "UNAPPROVED_READY",
"wf": "rIUL3hYOjJc"
}
]
The returned fields are described in the table below.
| Field | Description |
|---|---|
| aoc | Attribute option combination identifier |
| pe | Period identifier |
| ou | Organisation Unit identifier |
| permissions | The permissions: 'mayApprove', 'mayUnapprove', 'mayAccept', 'mayUnaccept', and 'mayReadData' (same definitions as for get single approval status). |
| state | One of the data approval states (same as for get single approval status.) |
| wf | Data approval workflow identifier |
To approve data you can issue a POST request to the dataApprovals resource. To un-approve data, you can issue a DELETE request to the dataApprovals resource.
POST DELETE /api/33/dataApprovals
To accept data that is already approved you can issue a POST request to the dataAcceptances resource. To un-accept data, you can issue a DELETE request to the dataAcceptances resource.
POST DELETE /api/33/dataAcceptances
These requests contain the following parameters:
| Action parameter | Required | Description |
|---|---|---|
| wf | Yes | Data approval workflow identifier |
| pe | Yes | Period identifier |
| ou | Yes | Organisation unit identifier |
| aoc | No | Attribute option combination identifier |
Note that, unlike querying the data approval status, you must specify parameters that correspond to a selection of data that could be approved. In particular, both of the following must be true:
The organisation unit's level must be specified by an approval level in the workflow.
The time period specified must match the period type of the workflow.
You can approve a bulk of data records by posting to the /api/dataApprovals/approvals resource.
POST /api/33/dataApprovals/approvals
You can unapprove a bulk of data records by posting to the /api/dataApprovals/unapprovals resource.
POST /api/33/dataApprovals/unapprovals
You can accept a bulk of records by posting to the /api/dataAcceptances/acceptances resource.
POST /api/33/dataAcceptances/acceptances
You can unaccept a bulk of records by posting to the /api/dataAcceptances/unacceptances resource.
POST /api/33/dataAcceptances/unacceptances
The approval payload is supported as JSON and looks like this:
{
"wf": ["pBOMPrpg1QX", "lyLU2wR22tC"],
"pe": ["201601", "201602"],
"approvals": [
{
"ou": "cDw53Ej8rju",
"aoc": "ranftQIH5M9"
},
{
"ou": "cDw53Ej8rju",
"aoc": "fC3z1lcAW5x"
}
]
}
To retrieve data approval workflows and their data approval levels you can make a GET request similar to this:
/api/dataApprovalWorkflows?
fields=id,name,periodType,dataApprovalLevels[id,name,level,orgUnitLevel]
The sharing solution allows you to share most objects in the system with specific user groups and to define whether objects should be publicly accessible or private. To get and set sharing status for objects you can interact with the sharing resource.
/api/33/sharing
To request the sharing status for an object use a GET request to:
/api/33/sharing?type=dataElement&id=fbfJHSPpUQD
The response looks like the below.
{
"meta": {
"allowPublicAccess": true,
"allowExternalAccess": false
},
"object": {
"id": "fbfJHSPpUQD",
"name": "ANC 1st visit",
"publicAccess": "rw------",
"externalAccess": false,
"user": {},
"userGroupAccesses": [
{
"id": "hj0nnsVsPLU",
"access": "rw------"
},
{
"id": "qMjBflJMOfB",
"access": "r-------"
}
]
}
}
You can define the sharing status for an object using the same URL with a POST request, where the payload in JSON format looks like this:
{
"object": {
"publicAccess": "rw------",
"externalAccess": false,
"user": {},
"userGroupAccesses": [
{
"id": "hj0nnsVsPLU",
"access": "rw------"
},
{
"id": "qMjBflJMOfB",
"access": "r-------"
}
]
}
}
In this example, the payload defines the object to have read-write public access, no external access (without login), read-write access to one user group and read-only access to another user group. You can submit this to the sharing resource using curl:
curl -d @sharing.json "localhost/api/33/sharing?type=dataElement&id=fbfJHSPpUQD"
-H "Content-Type:application/json" -u admin:district
DHIS2 allows for scheduling of jobs of various types. Each type of job has different properties for configuration, giving you finer control over how jobs are run. In addition, you can configure the same job to run with different configurations and at different intervals if required.
| Property | Description | Type |
|---|---|---|
| name | Name of the job. | String |
| cronExpression | The cron expression which defines the interval for when the job should run. | String (Cron expression) |
| jobType | The job type represent which task is run. In the next table, you can get an overview of existing job types. Each job type can have a specific set of parameters for job configuration. | String (Enum) |
| jobParameters | Job parameters, if applicable for job type. | (See list of job types) |
| enabled | A job can be added to the system without it being scheduled by setting `enabled` to false in the JSON payload. Use this if you want to temporarily stop scheduling for a job, or if a job configuration is not complete yet. | Boolean |
| Job type | Parameters | Param(Type:Default) |
|---|---|---|
| DATA_INTEGRITY | NONE | |
| ANALYTICS_TABLE |
|
|
| CONTINUOUS_ANALYTICS_TABLE |
|
|
| DATA_SYNC | NONE | |
| META_DATA_SYNC | NONE | |
| SEND_SCHEDULED_MESSAGE | NONE | |
| PROGRAM_NOTIFICATIONS | NONE | |
| MONITORING (Validation rule analysis) |
|
|
| PUSH_ANALYSIS |
|
|
| PREDICTOR |
|
|
To get a list of all available job types you can use the following endpoint:
GET /api/jobConfigurations/jobTypes
The response contains information about each job type including name, job type, key, scheduling type and available parameters. The scheduling type can either be CRON, meaning jobs can be scheduled using a cron expression with the cronExpression field, or FIXED_DELAY, meaning jobs can be scheduled to run with a fixed delay in between with the delay field. The field delay is given in seconds.
A response will look similar to this:
{
"jobTypes": [
{
"name": "Data integrity",
"jobType": "DATA_INTEGRITY",
"key": "dataIntegrityJob",
"schedulingType": "CRON"
},
{
"name": "Resource table",
"jobType": "RESOURCE_TABLE",
"key": "resourceTableJob",
"schedulingType": "CRON"
},
{
"name": "Continuous analytics table",
"jobType": "CONTINUOUS_ANALYTICS_TABLE",
"key": "continuousAnalyticsTableJob",
"schedulingType": "FIXED_DELAY"
}
]
}
To configure jobs you can do a POST request to the following resource:
/api/jobConfigurations
A job without parameters in JSON format looks like this :
{
"name": "",
"jobType": "JOBTYPE",
"cronExpression": "0 * * ? * *"
}
An example of an analytics table job with parameters in JSON format:
{
"name": "Analytics tables last two years",
"jobType": "ANALYTICS_TABLE",
"cronExpression": "0 * * ? * *",
"jobParameters": {
"lastYears": "2",
"skipTableTypes": [],
"skipResourceTables": false
}
}
As example of a push analysis job with parameters in JSON format:
{
"name": "Push anlysis charts",
"jobType": "PUSH_ANALYSIS",
"cronExpression": "0 * * ? * *",
"jobParameters": {
"pushAnalysis": ["jtcMAKhWwnc"]
}
}
An example of a job with scheduling type FIXED_DELAY and 120 seconds delay:
{
"name": "Continuous analytics table",
"jobType": "CONTINUOUS_ANALYTICS_TABLE",
"delay": "120",
"jobParameters": {
"fullUpdateHourOfDay": 4
}
}
List all job configurations:
GET /api/jobConfigurations
Retrieve a job:
GET /api/jobConfigurations/{id}
The response payload looks like this:
{
"lastUpdated": "2018-02-22T15:15:34.067",
"id": "KBcP6Qw37gT",
"href": "http://localhost:8080/api/jobConfigurations/KBcP6Qw37gT",
"created": "2018-02-22T15:15:34.067",
"name": "analytics last two years",
"jobStatus": "SCHEDULED",
"displayName": "analytics last two years",
"enabled": true,
"externalAccess": false,
"jobType": "ANALYTICS_TABLE",
"nextExecutionTime": "2018-02-26T03:00:00.000",
"cronExpression": "0 0 3 ? * MON",
"jobParameters": {
"lastYears": 2,
"skipTableTypes": [],
"skipResourceTables": false
},
"favorite": false,
"configurable": true,
"access": {
"read": true,
"update": true,
"externalize": true,
"delete": true,
"write": true,
"manage": true
},
"lastUpdatedBy": {
"id": "GOLswS44mh8"
},
"favorites": [],
"translations": [],
"userGroupAccesses": [],
"attributeValues": [],
"userAccesses": []
}
Update a job with parameters using the following endpoint and JSON payload format:
PUT /api/jobConfiguration/{id}
{
"name": "analytics last two years",
"enabled": true,
"cronExpression": "0 0 3 ? * MON",
"jobType": "ANALYTICS_TABLE",
"jobParameters": {
"lastYears": "3",
"skipTableTypes": [],
"skipResourceTables": false
}
}
Delete a job using:
DELETE /api/jobConfiguration/{id}
Note that some jobs with custom configuration parameters may not be added if the required system settings are not configured. An example of this is data synchronization, which requires remote server configuration.
This section covers pull and push of data and metadata.
To initiate a data value push to a remote server one must first configure the URL and credentials for the relevant server from System settings > Synchronization, then make a POST request to the following resource:
/api/33/synchronization/dataPush
To initiate a metadata pull from a remote JSON document you can make a POST request with a url as request payload to the following resource:
/api/33/synchronization/metadataPull
To check the availability of the remote data server and verify user credentials you can make a GET request to the following resource:
/api/33/synchronization/availability
DHIS2 does automatic auditing on all updates and deletions of aggregate data values, tracked entity data values, tracked entity attribute values, and data approvals. This section explains how to fetch this data.
The endpoint for aggregate data value audits is located at /api/audits/dataValue, and the available parameters are displayed in the table below.
| Parameter | Option | Description |
|---|---|---|
| ds | Data Set | One or more data set identifiers to get data elements from. |
| de | Data Element | One or more data element identifiers. |
| pe | ISO Period | One or more period ISO identifiers. |
| ou | Organisation Unit | One or more org unit identifiers. |
| auditType | UPDATE | DELETE | Filter by audit type. |
| skipPaging | false | true | Turn paging on / off |
| page | 1 (default) | If paging is enabled, this parameter decides which page to show |
Get all audits for data set with ID lyLU2wR22tC:
/api/33/audits/dataValue?ds=lyLU2wR22tC
The endpoint for tracked entity data value audits is located at /api/audits/trackedEntityDataValue, and the available parameters are displayed in the table below.
| Parameter | Option | Description |
|---|---|---|
| de | Data Element | One or more data element identifiers. |
| ps | Program Stage Entity | One or more program stage instance identifiers. |
| auditType | UPDATE | DELETE | Filter by audit type. |
| skipPaging | false | true | Turn paging on / off |
| page | 1 (default) | If paging is enabled, this parameter decides which page to show |
Get all audits which have data element ID eMyVanycQSC or qrur9Dvnyt5:
/api/33/audits/trackedEntityDataValue?de=eMyVanycQSC&de=qrur9Dvnyt5
The endpoint for tracked entity attribute value audits is located at /api/audits/trackedEntityAttributeValue, and the available parameters are displayed in the table below.
| Parameter | Option | Description |
|---|---|---|
| tea | Tracked Entity Attributes | One or more tracked entity attribute identifiers. |
| te | Tracked Entity Instances | One or more tracked entity instance identifiers. |
| auditType | UPDATE | DELETE | Filter by audit type. |
| skipPaging | false | true | Turn paging on / off |
| page | 1 (default) | If paging is enabled, this parameter decides which page to show |
Get all audits which have attribute with ID VqEFza8wbwA:
/api/33/audits/trackedEntityAttributeValue?tea=VqEFza8wbwA
Once auditing is enabled for tracked entity instances (by setting allowAuditLog of tracked entity types to true), all read and search operations are logged. The endpoint for accessing audit logs is located at api/audits/trackedEntityInstance. Below are available parameters to interact with this endpoint.
| Parameter | Option | Description |
|---|---|---|
| tei | Tracked Entity Instance | One or more tracked entity instance identifiers |
| user | User | One or more user identifiers |
| auditType | SEARCH | READ | Audit type to filter for |
| startDate | Start date | Start date for audit filtering in yyyy-mm-dd format. |
| endDate | End date | End date for audit filtering in yyyy-mm-dd format. |
| skipPaging | false | true | Turn paging on / off. |
| page | 1 (default) | Specific page to ask for. |
| pageSize | 50 (default) | Page size. |
Get all tracked entity instance audits of type READ with startDate=2018-03-01 and endDate=2018-04-24 in a page size of 5:
/api/33/audits/trackedEntityInstance.json?startDate=2018-03-01
&endDate=2018-04-24&auditType=READ&pageSize=5
Once auditing is enabled for enrollments (by setting allowAuditLog of tracker programs to true), all read operations are logged. The endpoint for accessing audit logs is located at api/audits/enrollment. Below are available parameters to interact with this endpoint.
| Parameter | Option | Description |
|---|---|---|
| en | Enrollment | One or more tracked entity instance identifiers |
| user | User | One or more user identifiers |
| startDate | Start date | Start date for audit filtering in yyyy-mm-dd format. |
| endDate | End date | End date for audit filtering in yyyy-mm-dd format. |
| skipPaging | false | true | Turn paging on / off. |
| page | 1 (default) | Specific page to ask for. |
| pageSize | 50 (default) | Page size. |
Get all enrollment audits with startDate=2018-03-01 and endDate=2018-04-24 in a page size of 5:
/api/audits/enrollment.json?startDate=2018-03-01&endDate=2018-04-24&pageSize=5
Get all enrollment audits for user admin:
/api/audits/enrollment.json?user=admin
The endpoint for data approval audits is located at /api/audits/dataApproval, and the available parameters are displayed in the table below.
| Parameter | Option | Description |
|---|---|---|
| dal | Data Approval Level | One or more data approval level identifiers. |
| wf | Workflow | One or more data approval workflow identifiers. |
| ou | Organisation Unit | One or more organisation unit identifiers. |
| aoc | Attribute Option Combo | One or more attribute option combination identifiers. |
| startDate | Start Date | Starting Date for approvals in yyyy-mm-dd format. |
| endDate | End Date | Ending Date for approvals in yyyy-mm-dd format. |
| skipPaging | false | true | Turn paging on / off |
| page | 1 (default) | If paging is enabled, this parameter decides which page to show. |
Get all audits for data approval workflow RwNpkAM7Hw7:
/api/33/audits/dataApproval?wf=RwNpkAM7Hw7
DHIS2 features a mechanism for sending messages for purposes such as user feedback, notifications, and general information to users. Messages are grouped into conversations. To interact with message conversations you can send POST and GET request to the messageConversations resource.
/api/33/messageConversations
Messages are delivered to the DHIS2 message inbox but can also be sent to the user's email addresses and mobile phones as SMS. In this example, we will see how we can utilize the Web API to send, read and manage messages. We will pretend to be the DHIS2 Administrator user and send a message to the Mobile user. We will then pretend to be the mobile user and read our new message. Following this, we will manage the admin user inbox by marking and removing messages.
The resource we need to interact with when sending and reading messages is the messageConversations resource. We start by visiting the Web API entry point at http://play.dhis2.org/demo/api where we find and follow the link to the messageConversations resource at http://play.dhis2.org/demo/api/messageConversations. The description tells us that we can use a POST request to create a new message using the following XML format for sending to multiple users:
<message xmlns="http://dhis2.org/schema/dxf/2.0">
<subject>This is the subject</subject>
<text>This is the text</text>
<users>
<user id="user1ID" />
<user id="user2ID" />
<user id="user3ID" />
</users>
</message>
For sending to all users contained in one or more user groups, we can use:
<message xmlns="http://dhis2.org/schema/dxf/2.0">
<subject>This is the subject</subject>
<text>This is the text</text>
<userGroups>
<userGroup id="userGroup1ID" />
<userGroup id="userGroup2ID" />
<userGroup id="userGroup3ID" />
</userGroups>
</message>
For sending to all users connected to one or more organisation units, we can use:
<message xmlns="http://dhis2.org/schema/dxf/2.0">
<subject>This is the subject</subject>
<text>This is the text</text>
<organisationUnits>
<organisationUnit id="ou1ID" />
<organisationUnit id="ou2ID" />
<organisationUnit id="ou3ID" />
</organisationUnits>
</message>
Since we want to send a message to our friend the mobile user we need to look up her identifier. We do so by going to the Web API entry point and follow the link to the users resource at /api/users. We continue by following link to the mobile user at /api/users/PhzytPW3g2J where we learn that her identifier is PhzytPW3g2J. We are now ready to put our XML message together to form a message where we want to ask the mobile user whether she has reported data for January 2014:
<message xmlns="http://dhis2.org/schema/dxf/2.0">
<subject>Mortality data reporting</subject>
<text>Have you reported data for the Mortality data set for January 2014?</text>
<users>
<user id="PhzytPW3g2J" />
</users>
</message>
To test this we save the XML content into a file called message.xml. We use cURL to dispatch the message the DHIS2 demo instance where we indicate that the content-type is XML and authenticate as the admin user:
curl -d @message.xml "https://play.dhis2.org/demo/api/messageConversations"
-H "Content-Type:application/xml" -u admin:district -X POST
A corresponding payload in JSON and POST command looks like this:
{
"subject": "Hey",
"text": "How are you?",
"users": [
{
"id": "OYLGMiazHtW"
},
{
"id": "N3PZBUlN8vq"
}
],
"userGroups": [
{
"id": "ZoHNWQajIoe"
}
],
"organisationUnits": [
{
"id": "DiszpKrYNg8"
}
]
}
curl -d @message.json "https://play.dhis2.org/demo/api/33/messageConversations"
-H "Content-Type:application/json" -u admin:district -X POST
If all is well we receive a 201 Created HTTP status code. Also, note that we receive a Location HTTP header which value informs us of the URL of the newly created message conversation resource - this can be used by a consumer to perform further action.
We will now pretend to be the mobile user and read the message which was just sent by dispatching a GET request to the messageConversations resource. We supply an Accept header with application/xml as the value to indicate that we are interested in the XML resource representation and we authenticate as the mobile user:
curl "https://play.dhis2.org/demo/api/33/messageConversations"
-H "Accept:application/xml" -u mobile:district
In response we get the following XML:
<messageConversations xmlns="http://dhis2.org/schema/dxf/2.0"
link="https://play.dhis2.org/demo/api/messageConversations">
<messageConversation name="Mortality data reporting" id="ZjHHSjyyeJ2"
link="https://play.dhis2.org/demo/api/messageConversations/ZjHHSjyyeJ2"/>
<messageConversation name="DHIS2 version 2.7 is deployed" id="GDBqVfkmnp2"
link="https://play.dhis2.org/demo/api/messageConversations/GDBqVfkmnp2"/>
</messageConversations>
From the response, we are able to read the identifier of the newly sent message which is ZjHHSjyyeJ2. Note that the link to the specific resource is embedded and can be followed in order to read the full message. We can reply directly to an existing message conversation once we know the URL by including the message text as the request payload. We are now able to construct a URL for sending our reply:
curl -d "Yes the Mortality data set has been reported"
"https://play.dhis2.org/demo/api/messageConversations/ZjHHSjyyeJ2"
-H "Content-Type:text/plain" -u mobile:district -X POST
If all went according to plan you will receive a 200 OK status code.
In 2.30 we added an URL search parameter:
queryString=?&queryOperator=?
The filter searches for matches in subject, text, and senders for message conversations. The default query operator is token, however other operators can be defined in the query.
As users receive and send messages, conversations will start to pile up in their inboxes, eventually becoming laborious to track. We will now have a look at managing a user's messages inbox by removing and marking conversations through the Web-API. We will do so by performing some maintenance in the inbox of the "DHIS Administrator" user.
First, let's have a look at removing a few messages from the inbox. Be sure to note that all removal operations described here only remove the relation between a user and a message conversation. In practical terms this means that we are not deleting the messages themselves (or any content for that matter) but are simply removing the message thread from the user such that it is no longer listed in the /api/messageConversations resource.
To remove a message conversation from a users inbox we need to issue a DELETE request to the resource identified by the id of the message conversation and the participating user. For example, to remove the user with id xE7jOejl9FI from the conversation with id jMe43trzrdi:
curl "https://play.dhis2.org/demo/api/33/messageConversations/jMe43trzrdi
If the request was successful the server will reply with a 200 OK. The response body contains an XML or JSON object (according to the accept header of the request) containing the id of the removed user.
{
"removed": ["xE7jOejl9FI"]
}
On failure the returned object will contain a message payload which describes the error.
{
"message": "No user with uid: dMV6G0tPAEa"
}
The observant reader will already have noticed that the object returned on success in our example is actually a list of ids (containing a single entry). This is due to the endpoint also supporting batch removals. The request is made to the same messageConversations resource but follows slightly different semantics. For batch operations, the conversation ids are given as query string parameters. The following example removes two separate message conversations for the current user:
curl "https://play.dhis2.org/demo/api/messageConversations?mc=WzMRrCosqc0&mc=lxCjiigqrJm"
-X DELETE -u admin:district
If you have sufficient permissions, conversations can be removed on behalf of another user by giving an optional user id parameter.
curl "https://play.dhis2.org/demo/api/messageConversations?mc=WzMRrCosqc0&mc=lxCjiigqrJm&user=PhzytPW3g2J"
-X DELETE -u admin:district
As indicated, batch removals will return the same message format as for single operations. The list of removed objects will reflect successful removals performed. Partially erroneous requests (i.e. non-existing id) will therefore not cancel the entire batch operation.
Messages carry a boolean read property. This allows tracking whether a user has seen (opened) a message or not. In a typical application scenario (e.g. the DHIS2 web portal) a message will be marked read as soon as the user opens it for the first time. However, users might want to manage the read or unread status of their messages in order to keep track of certain conversations.
Marking messages read or unread follows similar semantics as batch removals, and also supports batch operations. To mark messages as read we issue a POST to the messageConversations/read resource with a request body containing one or more message ids. To mark messages as unread we issue an identical request to the messageConversations/unread resource. As is the case for removals, an optional user request parameter can be given.
Let's mark a couple of messages as read by the current user:
curl "https://play.dhis2.org/dev/api/messageConversations/read"
-d '["ZrKML5WiyFm","Gc03smoTm6q"]' -X POST
-H "Content-Type: application/json" -u admin:district
The response is a 200 OK with the following JSON body:
{
"markedRead": ["ZrKML5WiyFm", "Gc03smoTm6q"]
}
You can add recipients to an existing message conversation. The resource is located at:
/api/33/messageConversations/id/recipients
The options for this resource is a list of users, user groups and organisation units. The request should look like this:
{
"users": [
{
"id": "OYLGMiazHtW"
},
{
"id": "N3PZBUlN8vq"
}
],
"userGroups": [
{
"id": "DiszpKrYNg8"
}
],
"organisationUnits": [
{
"id": "DiszpKrYNg8"
}
]
}
Creating messages with attachments is done in two steps: uploading the file to the attachments resource, and then including one or several of the attachment IDs when creating a new message.
A POST request to the attachments resource will upload the file to the server.
curl -F file=@attachment.png "https://play.dhis2.org/demo/api/messageConversations/attachments"
-u admin:district
The request returns an object that represents the attachment. The id of this object must be used when creating a message in order to link the attachment with the message.
{
"created": "2018-07-20T16:54:18.210",
"lastUpdated": "2018-07-20T16:54:18.212",
"externalAccess": false,
"publicAccess": "--------",
"user": {
"name": "John Traore",
"created": "2013-04-18T17:15:08.407",
"lastUpdated": "2018-03-09T23:06:54.512",
"externalAccess": false,
"displayName": "John Traore",
"favorite": false,
"id": "xE7jOejl9FI"
},
"lastUpdatedBy": {
"id": "xE7jOejl9FI",
"name": "John Traore"
},
"favorite": false,
"id": "fTpI4GOmujz"
}
When creating a new message, the ids can be passed in the request body to link the uploaded files to the message being created.
{
"subject": "Hey",
"text": "How are you?",
"users": [
{
"id": "OYLGMiazHtW"
},
{
"id": "N3PZBUlN8vq"
}
],
"userGroups": [
{
"id": "ZoHNWQajIoe"
}
],
"organisationUnits": [
{
"id": "DiszpKrYNg8"
}
],
"attachments": ["fTpI4GOmujz", "h2ZsOxMFMfq"]
}
When replying to a message, the ids can be passed as a request parameter.
curl -d "Yes the Mortality data set has been reported"
"https://play.dhis2.org/demo/api/33/messageConversations/ZjHHSjyyeJ2?attachments=fTpI4GOmujz,h2ZsOxMFMfq"
-H "Content-Type:text/plain" -u mobile:district -X POST
Once a message with an attachment has been created, the attached file can be accessed with a GET request to the following URL:
/api/messageConversations/<mcv-id>/<msg-id>/attachments/<attachment-id>
Where
You can use the "write feedback" tool to create tickets and messages. The only difference between a ticket and a message is that you can give a status and a priority to a ticket. To set the status:
POST /api/messageConversations/<uid>/status
To set the priority:
POST /api/messageConversations/<uid>/priority
In 2.29, messages generated by validation analysis now also be used in the status and priority properties. By default, messages generated by validation analysis will inherit the priority of the validation rule in question, or the highest importance if the message contains multiple rules.
In 2.30, validation rules can be assigned to any user while tickets still need to be assigned to a user in the system's feedback recipient group.
| Status | Priority |
|---|---|
| OPEN | LOW |
| PENDING | MEDIUM |
| INVALID | HIGH |
| SOLVED |
You can also add an internal message to a ticket, which can only be seen by users who have "Manage tickets" permissions. To create an internal reply, include the "internal" parameter, and set it to
curl -d "This is an internal message"
"https://play.dhis2.org/demo/api/33/messageConversations/ZjHHSjyyeJ2?internal=true"
-H "Content-Type:text/plain" -u admin:district -X POST
The dashboard is designed to give you an overview of multiple analytical items like maps, charts, pivot tables and reports which together can provide a comprehensive overview of your data. Dashboards are available in the Web API through the dashboards resource. A dashboard contains a list of dashboard items. An item can represent a single resource, like a chart, map or report table, or represent a list of links to analytical resources, like reports, resources, tabular reports and users. A dashboard item can contain up to eight links. Typically, a dashboard client could choose to visualize the single-object items directly in a user interface, while rendering the multi-object items as clickable links.
/api/dashboards
To get a list of your dashboards with basic information including identifier, name and link in JSON format you can make a GET request to the following URL:
/api/dashboards.json
The dashboards resource will provide a list of dashboards. Remember that the dashboard object is shared so the list will be affected by the currently authenticated user. You can retrieve more information about a specific dashboard by following its link, similar to this:
/api/dashboards/vQFhmLJU5sK.json
A dashboard contains information like name and creation date and an array of dashboard items. The response in JSON format will look similar to this response (certain information has been removed for the sake of brevity).
{
"lastUpdated": "2013-10-15T18:17:34.084+0000",
"id": "vQFhmLJU5sK",
"created": "2013-09-08T20:55:58.060+0000",
"name": "Mother and Child Health",
"href": "https://play.dhis2.org/demo/api/dashboards/vQFhmLJU5sK",
"publicAccess": "--------",
"restrictFilters": false,
"externalAccess": false,
"itemCount": 17,
"displayName": "Mother and Child Health",
"access": {
"update": true,
"externalize": true,
"delete": true,
"write": true,
"read": true,
"manage": true
},
"user": {
"id": "xE7jOejl9FI",
"name": "John Traore",
"created": "2013-04-18T15:15:08.407+0000",
"lastUpdated": "2014-12-05T03:50:04.148+0000",
"href": "https://play.dhis2.org/demo/api/users/xE7jOejl9FI"
},
"dashboardItems": [
{
"id": "bu1IAnPFa9H",
"created": "2013-09-09T12:12:58.095+0000",
"lastUpdated": "2013-09-09T12:12:58.095+0000"
},
{
"id": "ppFEJmWWDa1",
"created": "2013-09-10T13:57:02.480+0000",
"lastUpdated": "2013-09-10T13:57:02.480+0000"
}
],
"userGroupAccesses": []
}
A more tailored response can be obtained by specifying specific fields in the request. An example is provided below, which would return more detailed information about each object on a users dashboard.
/api/dashboards/vQFhmLJU5sK/?fields=:all,dashboardItems[:all]
When a user is building a dashboard it is convenient to be able to search for various analytical resources using the /dashboards/q resource. This resource lets you search for matches on the name property of the following objects: charts, maps, report tables, users, reports and resources. You can do a search by making a GET request on the following resource URL pattern, where my-query should be replaced by the preferred search query:
/api/dashboards/q/my-query.json
For example, this query:
/api/dashboards/q/ma?count=6&maxCount=20&max=CHART&max=MAP
Will search for the following:
| Query parameter | Description | Type | Default |
|---|---|---|---|
| count | The number of items of each type to return | Positive integer | 6 |
| maxCount | The number of items of max types to return | Positive integer | 25 |
| max | The type to return the maxCount for | String [CHART|MAP|REPORT_TABLE|USER|REPORT|RESOURCE|VISUALIZATION] | N/A |
JSON and XML response formats are supported. The response in JSON format will contain references to matching resources and counts of how many matches were found in total and for each type of resource. It will look similar to this:
{
"charts": [
{
"name": "ANC: 1-3 dropout rate Yearly",
"id": "LW0O27b7TdD"
},
{
"name": "ANC: 1 and 3 coverage Yearly",
"id": "UlfTKWZWV4u"
},
{
"name": "ANC: 1st and 3rd trends Monthly",
"id": "gnROK20DfAA"
}
],
"visualizations": [
{
"name": "ANC: ANC 3 Visits Cumulative Numbers",
"id": "arf9OiyV7df",
"type": "LINE"
},
{
"name": "ANC: 1st and 2rd trends Monthly",
"id": "jkf6OiyV7el",
"type": "PIVOT_TABLE"
}
],
"maps": [
{
"name": "ANC: 1st visit at facility (fixed) 2013",
"id": "YOEGBvxjAY0"
},
{
"name": "ANC: 3rd visit coverage 2014 by district",
"id": "ytkZY3ChM6J"
}
],
"reportTables": [
{
"name": "ANC: ANC 1 Visits Cumulative Numbers",
"id": "tWg9OiyV7mu"
}
],
"reports": [
{
"name": "ANC: 1st Visit Cumulative Chart",
"id": "Kvg1AhYHM8Q"
},
{
"name": "ANC: Coverages This Year",
"id": "qYVNH1wkZR0"
}
],
"searchCount": 8,
"chartCount": 3,
"mapCount": 2,
"reportTableCount": 1,
"reportCount": 2,
"userCount": 0,
"patientTabularReportCount": 0,
"resourceCount": 0
}
Creating, updating and deleting dashboards follow standard REST semantics. In order to create a new dashboard you can make a POST request to the /api/dashboards resource. From a consumer perspective it might be convenient to first create a dashboard and later add items to it. JSON and XML formats are supported for the request payload. To create a dashboard with the name "My dashboard" you can use a payload in JSON like this:
{
"name": "My dashboard"
}
To update, e.g. rename, a dashboard, you can make a PUT request with a similar request payload the same api/dashboards resource.
To remove a dashboard, you can make a DELETE request to the specific dashboard resource similar to this:
/api/dashboards/vQFhmLJU5sK
In order to add dashboard items a consumer can use the /api/dashboards/<dashboard-id>/items/content resource, where \<dashboard-id> should be replaced by the relevant dashboard identifier. The request must use the POST method. The URL syntax and parameters are described in detail in the following table.
| Query parameter | Description | Options |
|---|---|---|
| type | Type of the resource to be represented by the dashboard item | chart | visualization | map | reportTable | users | reports | reportTables | resources | patientTabularReports | app |
| id | Identifier of the resource to be represented by the dashboard item | Resource identifier |
A POST request URL for adding a chart to a specific dashboard could look like this, where the last id query parameter value is the chart resource identifier:
/api/dashboards/vQFhmLJU5sK/items/content?type=chart&id=LW0O27b7TdD
When adding resource of type map, chart, report table and app, the API will create and add a new item to the dashboard. When adding a resource of type users, reports, report tables and resources, the API will try to add the resource to an existing dashboard item of the same type. If no item of same type or no item of same type with less than eight resources associated with it exists, the API will create a new dashboard item and add the resource to it.
In order to move a dashboard item to a new position within the list of items in a dashboard, a consumer can make a POST request to the following resource URL, where <dashboard-id> should be replaced by the identifier of the dashboard, <item-id> should be replaced by the identifier of the dashboard item and <index> should be replaced by the new position of the item in the dashboard, where the index is zero-based:
/api/dashboards/<dashboard-id>/items/<item-id>/position/<index>
To remove a dashboard item completely from a specific dashboard a consumer can make a DELETE request to the below resource URL, where <dashboard-id> should be replaced by the identifier of the dashboard and <item-id> should be replaced by the identifier of the dashboard item. The dashboard item identifiers can be retrieved through a GET request to the dashboard resource URL.
/api/dashboards/<dashboard-id>/items/<item-id>
To remove a specific content resource within a dashboard item a consumer can make a DELETE request to the below resource URL, where <content-resource-id> should be replaced by the identifier of a resource associated with the dashboard item; e.g. the identifier of a report or a user. For instance, this can be used to remove a single report from a dashboard item of type reports, as opposed to removing the dashboard item completely:
/api/dashboards/<dashboard-id>/items/<item-id>/content/<content-resource-id>
The Visualization API is designed to help clients to interact with charts and pivot/report tables. The endpoints of this API are used by the Data Visualization application which allows the creation, configuration and management of charts and pivot tables based on the client's definitions. The main idea is to enable clients and users to have a unique and centralized API providing all types of charts and pivot tables as well as specific parameters and configuration for each type of visualization.
This API was introduced with the expectation to unify both charts and reportTables APIs and entirely replace them in favour of the visualizations API (which means that the usage of charts and reportTables APIs should be avoided). In summary, the following resources/APIs:
/api/charts, /api/reportTables
are being replaced by
/api/visualizations
Note
New applications and clients should avoid using the
chartsandreportTablesAPIs because they are deprecated. Use thevisualizationsAPI instead.
A Visualization object is composed of many attributes (some of them related to charts and others related to pivot tables), but the most important ones responsible to reflect the core information of the object are: "id", "name", "type", "dataDimensionItems", "columns", "rows" and "filters".
The root endpoint of the API is /api/visualizations, and the list of current attributes and elements are described in the table below.
| Field | Description |
|---|---|
| id | The unique identifier. |
| code | A custom code to identify the Visualization. |
| name | The name of the Visualization |
| type | The type of the Visualization. The valid types are: COLUMN, STACKED_COLUMN, BAR, STACKED_BAR, LINE, AREA, PIE, RADAR, GAUGE, YEAR_OVER_YEAR_LINE YEAR_OVER_YEAR_COLUMN, SINGLE_VALUE, PIVOT_TABLE. |
| title | A custom title. |
| subtitle | A custom subtitle. |
| description | Defines a custom description for the Visualization. |
| created | The date/time of the Visualization creation. |
| startDate | The beginning date used during the filtering. |
| endDate | The ending date used during the filtering. |
| sortOrder | The sorting order of this Visualization. Integer value. |
| user | An object representing the creator of the Visualization. |
| publicAccess | Sets the permissions for public access. |
| displayDensity | The display density of the text. |
| fontSize | The font size of the text. |
| fontStyle | Custom font styles for: visualizationTitle, visualizationSubtitle, horizontalAxisTitle, verticalAxisTitle, targetLineLabel, baseLineLabel, seriesAxisLabel, categoryAxisLabel, legend. |
| relativePeriods | An object representing the relative periods used in the analytics query. |
| legendSet | An object representing the definitions for the legend. |
| legendDisplayStyle | The legend's display style. It can be: FILL or TEXT. |
| legendDisplayStrategy | The legend's display style. It can be: FIXED or BY_DATA_ITEM. |
| aggregationType | Determines how the values in the pivot table are aggregated. Valid options: SUM, AVERAGE, AVERAGE_SUM_ORG_UNIT, LAST, LAST_AVERAGE_ORG_UNIT, FIRST, FIRST_AVERAGE_ORG_UNIT, COUNT, STDDEV, VARIANCE, MIN, MAX, NONE, CUSTOM or DEFAULT. |
| regressionType | A valid regression type: NONE, LINEAR, POLYNOMIAL or LOESS. |
| targetLineValue | The chart target line. Accepts a Double type. |
| targetLineLabel | The chart target line label. |
| rangeAxisLabel | The chart vertical axis (y) label/title. |
| domainAxisLabel | The chart horizontal axis (x) label/title. |
| rangeAxisMaxValue | The chart axis maximum value. Values outside of the range will not be displayed. |
| rangeAxisMinValue | The chart axis minimum value. Values outside of the range will not be displayed. |
| rangeAxisSteps | The number of axis steps between the minimum and maximum values. |
| rangeAxisDecimals | The number of decimals for the axes values. |
| baseLineValue | A chart baseline value. |
| baseLineLabel | A chart baseline label. |
| digitGroupSeparator | The digit group separator. Valid values: COMMA, SPACE or NONE. |
| topLimit | The top limit set for the Pivot table. |
| measureCriteria | Describes the criteria applied to this measure. |
| percentStackedValues | Uses stacked values or not. More likely to be applied for graphics/charts. Boolean value. |
| noSpaceBetweenColumns | Show/hide space between columns. Boolean value. |
| regression | Indicates whether the Visualization contains regression columns. More likely to be applicable to Pivot/Report. Boolean value. |
| externalAccess | Indicates whether the Visualization is available as external read-only. Boolean value. |
| userOrganisationUnit | Indicates if the user has an organisation unit. Boolean value. |
| userOrganisationUnitChildren | Indicates if the user has a children organisation unit. Boolean value. |
| userOrganisationUnitGrandChildren | Indicates if the user has a grand children organisation unit . Boolean value. |
| reportingParams | Object used to define boolean attributes related to reporting. |
| rowTotals | Displays (or not) the row totals. Boolean value. |
| colTotals | Displays (or not) the columns totals. Boolean value. |
| rowSubTotals | Displays (or not) the row sub-totals. Boolean value. |
| colSubTotals | Displays (or not) the columns sub-totals. Boolean value. |
| cumulativeValues | Indicates whether the visualization is using cumulative values. Boolean value. |
| hideEmptyColumns | Indicates whether to hide columns with no data values. Boolean value. |
| hideEmptyRows | Indicates whether to hide rows with no data values. Boolean value. |
| completedOnly | Indicates whether to hide columns with no data values. Boolean value. |
| skipRounding | Apply or not rounding. Boolean value. |
| showDimensionLabels | Shows the dimension labels or not. Boolean value. |
| hideTitle | Hides the title or not. Boolean value. |
| hideSubtitle | Hides the subtitle or not. Boolean value. |
| hideLegend | Show/hide the legend. Very likely to be used by charts. Boolean value. |
| showHierarchy | Displays (or not) the organisation unit hierarchy names. Boolean value. |
| showData | Used by charts to hide or not data/values within the rendered model. Boolean value. |
| lastUpdatedBy | Object that represents the user that applied the last changes to the Visualization. |
| lastUpdated | The date/time of the last time the Visualization was changed. |
| favorites | List of user ids who have marked this object as a favorite. |
| subscribers | List of user ids who have subscribed to this Visualization. |
| translations | Set of available object translation, normally filtered by locale. |
| outlierAnalysis | Object responsible to keep settings related to outlier analysis. The internal attribute 'outlierMethod' supports: IQR, STANDARD_Z_SCORE, MODIFIED_Z_SCORE. The 'normalizationMethod' accepts only Y_RESIDUALS_LINEAR for now. |
To retrieve a list of all existing visualizations, in JSON format, with some basic information (including identifier, name and pagination) you can make a GET request to the URL below. You should see a list of all public/shared visualizations plus your private ones.
GET /api/visualizations.json
If you want to retrieve the JSON definition of a specific Visualization you can add its respective identifier to the URL:
GET /api/visualizations/hQxZGXqnLS9.json
The following representation is an example of a response in JSON format (for brevity, certain information has been removed). For the complete schema, please use GET /api/schemas/visualization.
{
"lastUpdated": "2020-02-06T11:57:09.678",
"href": "http://my-domain/dhis/api/visualizations/hQxZGXqnLS9",
"id": "hQxZGXqnLS9",
"created": "2017-05-19T17:22:00.785",
"name": "ANC: ANC 1st visits last 12 months cumulative values",
"publicAccess": "rw------",
"userOrganisationUnitChildren": false,
"type": "LINE",
"access": {},
"reportingParams": {
"parentOrganisationUnit": false,
"reportingPeriod": false,
"organisationUnit": false,
"grandParentOrganisationUnit": false
},
"dataElementGroupSetDimensions": [],
"attributeDimensions": [],
"yearlySeries": [],
"filterDimensions": ["dx"],
"columns": [
{
"id": "ou"
}
],
"dataElementDimensions": [],
"categoryDimensions": [],
"rowDimensions": ["pe"],
"columnDimensions": ["ou"],
"dataDimensionItems": [
{
"dataDimensionItemType": "DATA_ELEMENT",
"dataElement": {
"id": "fbfJHSPpUQD"
}
}
],
"filters": [
{
"id": "dx"
}
],
"rows": [
{
"id": "pe"
}
]
}
A more tailored response can be obtained by specifying, in the URL, the fields you want to extract. Ie.:
GET /api/visualizations/hQxZGXqnLS9.json?fields=interpretations
will return
{
"interpretations": [
{
"id": "Lfr8I2RPU0C"
},
{
"id": "JuwgdJlJPGb"
},
{
"id": "WAoU2rSpyZp"
}
]
}
As seen, the GET above will return only the interpretations related to the given identifier (in this case hQxZGXqnLS9).
These operations follow the standard REST semantics. A new Visualization can be created through a POST request to the /api/visualizations resource with a valid JSON payload. An example of payload could be:
{
"columns": [
{
"dimension": "J5jldMd8OHv",
"items": [
{
"name": "CHP",
"id": "uYxK4wmcPqA",
"displayName": "CHP",
"displayShortName": "CHP",
"dimensionItemType": "ORGANISATION_UNIT_GROUP"
},
{
"name": "Hospital",
"id": "tDZVQ1WtwpA",
"displayName": "Hospital",
"displayShortName": "Hospital",
"dimensionItemType": "ORGANISATION_UNIT_GROUP"
}
]
}
],
"rows": [
{
"dimension": "SooXFOUnciJ",
"items": [
{
"name": "DOD",
"id": "B0bjKC0szQX",
"displayName": "DOD",
"displayShortName": "DOD",
"dimensionItemType": "CATEGORY_OPTION_GROUP"
},
{
"name": "CDC",
"id": "OK2Nr4wdfrZ",
"displayName": "CDC",
"displayShortName": "CDC",
"dimensionItemType": "CATEGORY_OPTION_GROUP"
}
]
}
],
"filters": [
{
"dimension": "ou",
"items": [
{
"name": "Sierra Leone",
"id": "ImspTQPwCqd",
"displayName": "Sierra Leone",
"displayShortName": "Sierra Leone",
"dimensionItemType": "ORGANISATION_UNIT"
},
{
"name": "LEVEL-1",
"id": "LEVEL-H1KlN4QIauv",
"displayName": "LEVEL-1"
}
]
}
],
"name": "HIV Cases Monthly",
"description": "Cases of HIV across the months",
"category": "XY1vwCQskjX",
"showDimensionLabels": true,
"hideEmptyRows": true,
"hideEmptyColumns": true,
"skipRounding": true,
"aggregationType": "SUM",
"regressionType": "LINEAR",
"type": "PIVOT_TABLE",
"numberType": "VALUE",
"measureCriteria": "Some criteria",
"showHierarchy": true,
"completedOnly": true,
"displayDensity": "NORMAL",
"fontSize": "NORMAL",
"digitGroupSeparator": "SPACE",
"legendDisplayStyle": "FILL",
"legendDisplayStrategy": "FIXED",
"hideEmptyRowItems": "BEFORE_FIRST_AFTER_LAST",
"regression": false,
"cumulative": true,
"sortOrder": 1,
"topLimit": 2,
"rowTotals": true,
"colTotals": true,
"hideTitle": true,
"hideSubtitle": true,
"hideLegend": true,
"showData": true,
"percentStackedValues": true,
"noSpaceBetweenColumns": true,
"rowSubTotals": true,
"colSubTotals": true,
"userOrgUnitType": "TEI_SEARCH",
"externalAccess": false,
"publicAccess": "--------",
"reportingParams": {
"reportingPeriod": true,
"organisationUnit": true,
"parentOrganisationUnit": true,
"grandParentOrganisationUnit": true
},
"parentGraphMap": {
"ImspTQPwCqd": ""
},
"access": {
"read": true,
"update": true,
"externalize": true,
"delete": false,
"write": true,
"manage": false
},
"optionalAxes": [
{
"dimensionalItem": "fbfJHSPpUQD",
"axis": 1
},
{
"dimensionalItem": "cYeuwXTCPkU",
"axis": 2
}
],
"relativePeriods": {
"thisYear": false,
"quartersLastYear": true,
"last52Weeks": false,
"thisWeek": false,
"lastMonth": false,
"last14Days": false,
"biMonthsThisYear": false,
"monthsThisYear": false,
"last2SixMonths": false,
"yesterday": false,
"thisQuarter": false,
"last12Months": false,
"last5FinancialYears": false,
"thisSixMonth": false,
"lastQuarter": false,
"thisFinancialYear": false,
"last4Weeks": false,
"last3Months": false,
"thisDay": false,
"thisMonth": false,
"last5Years": false,
"last6BiMonths": false,
"last4BiWeeks": false,
"lastFinancialYear": false,
"lastBiWeek": false,
"weeksThisYear": false,
"last6Months": false,
"last3Days": false,
"quartersThisYear": false,
"monthsLastYear": false,
"lastWeek": false,
"last7Days": false,
"thisBimonth": false,
"lastBimonth": false,
"lastSixMonth": false,
"thisBiWeek": false,
"lastYear": false,
"last12Weeks": false,
"last4Quarters": false
},
"user": {},
"yearlySeries": ["THIS_YEAR"],
"userGroupAccesses": [
{
"access": "rwx-----",
"userGroupUid": "ZoHNWQajIoe",
"displayName": "Bo District M&E officers",
"id": "ZoHNWQajIoe"
}
],
"userAccesses": [
{
"access": "--------",
"displayName": "John Barnes",
"id": "DXyJmlo9rge",
"userUid": "DXyJmlo9rge"
}
],
"legendSet": {
"name": "Death rate up",
"id": "ham2eIDJ9k6",
"legends": [
{
"startValue": 1,
"endValue": 2,
"color": "red",
"image": "some-image"
},
{
"startValue": 2,
"endValue": 3,
"color": "blue",
"image": "other-image"
}
]
},
"outlierAnalysis": {
"enabled": true,
"outlierMethod": "IQR",
"thresholdFactor": 1.5,
"normalizationMethod": "Y_RESIDUALS_LINEAR",
"extremeLines": {
"enabled": true,
"value": 3.5
}
},
"legend": {
"label": {
"fontStyle": {
"textColor": "#dddddd"
}
},
"hidden": false
},
"axes": [
{
"index": 0,
"type": "RANGE",
"label": {
"fontStyle": {
"textColor": "#cccddd"
}
},
"title": {
"text": "Range axis title",
"fontStyle": {
"textColor": "#000000"
}
},
"decimals": 1,
"maxValue": 100,
"minValue": 20,
"steps": 5,
"baseLine": {
"value": 50,
"title": {
"text": "My baseline",
"fontStyle": {
"textColor": "#000000"
}
}
},
"targetLine": {
"value": 80,
"title": {
"text": "My targetline",
"fontStyle": {
"textColor": "#cccddd"
}
}
}
},
{
"index": 1,
"type": "DOMAIN",
"label": {
"fontStyle": {
"textColor": "#000000"
}
},
"title": {
"text": "Domain axis title",
"fontStyle": {
"textColor": "#cccddd"
}
}
}
],
"legend": {
"label": {
"fontStyle": {
"textColor": "#dddddd"
}
},
"hidden": false
},
"axes": [
{
"index": 0,
"type": "RANGE",
"label": {
"fontStyle": {
"textColor": "#cccddd"
}
},
"title": {
"text": "Range axis title",
"fontStyle": {
"textColor": "#000000"
}
},
"decimals": 1,
"maxValue": 100,
"minValue": 20,
"steps": 5,
"baseLine": {
"value": 50,
"title": {
"text": "My baseline",
"fontStyle": {
"textColor": "#000000"
}
}
},
"targetLine": {
"value": 80,
"title": {
"text": "My targetline",
"fontStyle": {
"textColor": "#cccddd"
}
}
}
},
{
"index": 1,
"type": "DOMAIN",
"label": {
"fontStyle": {
"textColor": "#000000"
}
},
"title": {
"text": "Domain axis title",
"fontStyle": {
"textColor": "#cccddd"
}
}
}
]
}
To update a specific Visualization, you can send a PUT request to the same /api/visualizations resource with a similar payload PLUS the respective Visualization's identifier, ie.:
PUT /api/visualizations/hQxZGXqnLS9
Finally, to delete an existing Visualization, you can make a DELETE request specifying the identifier of the Visualization to be removed, as shown:
DELETE /api/visualizations/hQxZGXqnLS9
For resources related to data analysis in DHIS2, such as pivot tables, charts, maps, event reports and event charts, you can write and share data interpretations. An interpretation can be a comment, question, observation or interpretation about a data report or visualization.
/api/interpretations
To read interpretations we will interact with the /api/interpretations resource. A typical GET request using field filtering can look like this:
GET /api/interpretations?fields=*,comments[id,text,user,mentions]
The output in JSON response format could look like below (additional fields omitted for brevity):
{
"interpretations": [
{
"id": "XSHiFlHAhhh",
"created": "2013-05-30T10:24:06.181+0000",
"text": "Data looks suspicious, could be a data entry mistake.",
"type": "REPORT_TABLE",
"likes": 2,
"user": {
"id": "uk7diLujYif"
},
"reportTable": {
"id": "LcSxnfeBxyi"
},
"visualization": {
"id": "LcSxnfeBxyi"
}
},
{
"id": "kr4AnZmYL43",
"created": "2013-05-29T14:47:13.081+0000",
"text": "Delivery rates in Bo looks high.",
"type": "CHART",
"likes": 3,
"user": {
"id": "uk7diLujYif"
},
"chart": {
"id": "HDEDqV3yv3H"
},
"visualization": {
"id": "HDEDqV3yv3H"
},
"mentions": [
{
"created": "2018-06-25T10:25:54.498",
"username": "boateng"
}
],
"comments": [
{
"id": "iB4Etq8yTE6",
"text": "This report indicates a surge.",
"user": {
"id": "B4XIfwOcGyI"
}
},
{
"id": "iB4Etq8yTE6",
"text": "Likely caused by heavy rainfall.",
"user": {
"id": "B4XIfwOcGyI"
}
},
{
"id": "SIjkdENan8p",
"text": "Have a look at this @boateng.",
"user": {
"id": "xE7jOejl9FI"
},
"mentions": [
{
"created": "2018-06-25T10:03:52.316",
"username": "boateng"
}
]
}
]
}
]
}
| Field | Description |
|---|---|
| id | The interpretation identifier. |
| created | The time of when the interpretation was created. |
| type | The type of analytical object being interpreted. Valid options: REPORT_TABLE, CHART, MAP, EVENT_REPORT, EVENT_CHART, DATASET_REPORT. |
| user | Association to the user who created the interpretation. |
| reportTable | Association to the report table if type is REPORT_TABLE. |
| chart | Association to the chart if type is CHART. |
| visualization | Association to the visualization if type is CHART or REPORT_TABLE (**both types are in deprecation process in favour of VISUALIZATION**). |
| map | Association to the map if type is MAP. |
| eventReport | Association to the event report is type is EVENT_REPORT. |
| eventChart | Association to the event chart if type is EVENT_CHART. |
| dataSet | Association to the data set if type is DATASET_REPORT. |
| comments | Array of comments for the interpretation. The text field holds the actual comment. |
| mentions | Array of mentions for the interpretation. A list of users identifiers. |
For all analytical objects you can append /data to the URL to retrieve the data associated with the resource (as opposed to the metadata). As an example, by following the map link and appending /data one can retrieve a PNG (image) representation of the thematic map through the following URL:
https://play.dhis2.org/demo/api/maps/bhmHJ4ZCdCd/data
For all analytical objects you can filter by mentions. To retrieve all the interpretations/comments where a user has been mentioned you have three options. You can filter by the interpretation mentions (mentions in the interpretation description):
GET /api/interpretations?fields=*,comments[*]&filter=mentions.username:in:[boateng]
You can filter by the interpretation comments mentions (mentions in any comment):
GET /api/interpretations?fields=*,comments[*]
&filter=comments.mentions.username:in:[boateng]
You can filter by intepretations which contains the mentions either in the interpretation or in any comment (OR junction):
GET /api/interpretations?fields=*,comments[*]&filter=mentions:in:[boateng]
When writing interpretations you will supply the interpretation text as the request body using a POST request with content type "text/plain". The URL pattern looks like the below, where {object-type} refers to the type of the object being interpreted and {object-id} refers to the identifier of the object being interpreted.
/api/interpretations/{object-type}/{object-id}
Valid options for object type are reportTable, chart, map, eventReport, eventChart and dataSetReport.
Some valid examples for interpretations are listed below.
Note
The
chartsandreportTablesAPIs are deprecated. We recommend using thevisualizationsAPI instead.
/api/interpretations/reportTable/yC86zJxU1i1
/api/interpretations/chart/ZMuYVhtIceD
/api/interpretations/visualization/hQxZGXqnLS9
/api/interpretations/map/FwLHSMCejFu
/api/interpretations/eventReport/xJmPLGP3Cde
/api/interpretations/eventChart/nEzXB2M9YBz
/api/interpretations/dataSetReport/tL7eCjmDIgM
As an example, we will start by writing an interpretation for the chart with identifier EbRN2VIbPdV. To write chart interpretations we will interact with the /api/interpretations/chart/{chartId} resource. The interpretation will be the request body. Based on this we can put together the following request using cURL:
curl -d "This chart shows a significant ANC 1-3 dropout" -X POST
"https://play.dhis2.org/demo/api/interpretations/chart/EbRN2VIbPdV"
-H "Content-Type:text/plain" -u admin:district
Notice that the response provides a Location header with a value indicating the location of the created interpretation. This is useful from a client perspective when you would like to add a comment to the interpretation.
To update an existing interpretation you can use a PUT request where the interpretation text is the request body using the following URL pattern, where {id} refers to the interpretation identifier:
/api/interpretations/{id}
Based on this we can use curl to update the interpretation:
curl -d "This charts shows a high dropout" -X PUT
"https://play.dhis2.org/demo/api/interpretations/chart/EV08iI1cJRA"
-H "Content-Type:text/plain" -u admin:district
You can use the same URL pattern as above using a DELETE request to remove the interpretation.
When writing comments to interpretations you will supply the comment text as the request body using a POST request with content type "text/plain". The URL pattern looks like the below, where {interpretation-id} refers to the interpretation identifier.
/api/interpretations/{interpretation-id}/comments
Second, we will write a comment to the interpretation we wrote in the example above. By looking at the interpretation response you will see that a Location header is returned. This header tells us the URL of the newly created interpretation and from that, we can read its identifier. This identifier is randomly generated so you will have to replace the one in the command below with your own. To write a comment we can interact with the /api/interpretations/{id}/comments resource like this:
curl -d "An intervention is needed" -X POST
"https://play.dhis2.org/demo/api/interpretations/j8sjHLkK8uY/comments"
-H "Content-Type:text/plain" -u admin:district
To updating an interpretation comment you can use a PUT request where the comment text is the request body using the following URL pattern:
/api/interpretations/{interpretation-id}/comments/{comment-id}
Based on this we can use curl to update the comment:
curl "https://play.dhis2.org/demo/api/interpretations/j8sjHLkK8uY/comments/idAzzhVWvh2"
-d "I agree with that." -X PUT -H "Content-Type:text/plain" -u admin:district
You can use the same URL pattern as above using a DELETE request to the remove the interpretation comment.
To like an interpretation you can use an empty POST request to the like resource:
POST /api/interpretations/{id}/like
A like will be added for the currently authenticated user. A user can only like an interpretation once.
To remove a like for an interpretation you can use a DELETE request to the same resource as for the like operation.
The like status of an interpretation can be viewed by looking at the regular Web API representation:
GET /api/interpretations/{id}
The like information is found in the likes field, which represents the number of likes, and the likedBy array, which enumerates the users who have liked the interpretation.
{
"id": "XSHiFlHAhhh",
"text": "Data looks suspicious, could be a data entry mistake.",
"type": "REPORT_TABLE",
"likes": 2,
"likedBy": [
{
"id": "k7Hg12fJ2f1"
},
{
"id": "gYhf26fFkjFS"
}
]
}
The SQL views resource allows you to create and retrieve the result set of SQL views. The SQL views can be executed directly against the database and render the result set through the Web API resource.
/api/sqlViews
SQL views are useful for creating data views which may be more easily constructed with SQL compared combining the multiple objects of the Web API. As an example, lets assume we have been asked to provide a view of all organization units with their names, parent names, organization unit level and name, and the coordinates listed in the database. The view might look something like this:
SELECT ou.name as orgunit, par.name as parent, ou.coordinates, ous.level, oul.name from organisationunit ou
INNER JOIN _orgunitstructure ous ON ou.organisationunitid = ous.organisationunitid
INNER JOIN organisationunit par ON ou.parentid = par.organisationunitid
INNER JOIN orgunitlevel oul ON ous.level = oul.level
WHERE ou.coordinates is not null
ORDER BY oul.level, par.name, ou.name
We will use curl to first execute the view on the DHIS2 server. This is essentially a materialization process, and ensures that we have the most recent data available through the SQL view when it is retrieved from the server. You can first look up the SQL view from the api/sqlViews resource, then POST using the following command:
curl "https://play.dhis2.org/demo/api/sqlViews/dI68mLkP1wN/execute" -X POST -u admin:district
The next step in the process is the retrieval of the data.The basic structure of the URL is as follows
http://{server}/api/sqlViews/{id}/data(.csv)
The {server} parameter should be replaced with your own server. The next part of the URL /api/sqlViews/ should be appended with the specific SQL view identifier. Append either data for XML data or data.csv for comma delimited values. Support response formats are json, xml, csv, xls, html and html+css. As an example, the following command would retrieve XML data for the SQL view defined above.
curl "https://play.dhis2.org/demo/api/sqlViews/dI68mLkP1wN/data.csv" -u admin:district
There are three types of SQL views:
SQL view: Standard SQL views.
Materialized SQL view: SQL views which are materialized, meaning written to disk. Needs to be updated to reflect changes in underlying tables. Supports criteria to filter result set.
SQL queries: Plain SQL queries. Support inline variables for customized queries.
You can do simple filtering on the columns in the result set by appending criteria query parameters to the URL, using the column names and filter values separated by columns as parameter values, on the following format:
/api/sqlViews/{id}/data?criteria=col1:value1&criteria=col2:value2
As an example, to filter the SQL view result set above to only return organisation units at level 4 you can use the following URL:
https://play.dhis2.org/demo/api/sqlViews/dI68mLkP1wN/data.csv?criteria=level:4
SQL views support variable substitution. Variable substitution is only available for SQL view of type query, meaning SQL views which are not created in the database but simply executed as regular SQL queries. Variables can be inserted directly into the SQL query and must be on this format:
${variable-key}
As an example, an SQL query that retrieves all data elements of a given value type where the value type is defined through a variable can look like this:
select * from dataelement where valuetype = '${valueType}';
These variables can then be supplied as part of the URL when requested through the sqlViews Web API resource. Variables can be supplied on the following format:
/api/sqlViews/{id}/data?var=key1:value1&var=key2:value2
An example query corresponding to the example above can look like this:
/api/sqlViews/dI68mLkP1wN/data.json?var=valueType:int
The valueType variable will be substituted with the int value, and the query will return data elements with int value type.
The variable parameter must contain alphanumeric characters only. The variables must contain alphanumeric, dash, underscore and whitespace characters only.
SQL Views of type query also support two system-defined variables that allow the query to access information about the user executing the view:
| variable | means |
|---|---|
| ${_current_user_id} | the user's database id |
| ${_current_username} | the user's username |
Values for these variables cannot be supplied as part of the URL. They are always filled with information about the user.
For example, the following SQL view of type query shows all the organisation units that are assigned to the user:
select ou.path, ou.name
from organisationunit ou_user
join organisationunit ou on ou.path like ou_user.path || '%'
join usermembership um on um.organisationunitid = ou_user.organisationunitid
where um.userinfoid = ${_current_user_id}
order by ou.path
The SQL view api supports data filtering, equal to the metadata object filter. For a complete list of filter operators you can look at the documentation for metadata object filter.
To use filters, simply add them as parameters at the end of the request url for your SQL view like this:
/api/sqlViews/w3UxFykyHFy/data.json?filter=orgunit_level:eq:2&filter=orgunit_name:ilike:bo
This request will return a result including org units with "bo" in the name and which has org unit level 2.
The following example will return all org units with orgunit_level 2 or 4:
/api/sqlViews/w3UxFykyHFy/data.json?filter=orgunit_level:in:[2,4]
And last, an example to return all org units that does not start with "Bo"
/api/sqlViews/w3UxFykyHFy/data.json?filter=orgunit_name:!like:Bo
This endpoint allows the user to query data related to a few different dimensional items. These items are: INDICATOR, DATA_ELEMENT, DATA_SET, PROGRAM_INDICATOR, PROGRAM_DATA_ELEMENT, PROGRAM_ATTRIBUTE. The endpoint supports only GET requests and, as other endpoints, can return responses in JSON or XML format.
The URL is /api/dataItems and as you can imagine, it is able to retrieve different objects through the same endpoint in the same GET request. For this reason, some queriable attributes available will differ depending on the dimensional item(s) being queried.
To understand the statement above let's have a look at the followings request examples:
GET /api/dataItems?filter=dimensionItemType:eq:DATA_ELEMENT&filter=valueType:eq:TEXT In this example the item type DATA_ELEMENT has a valueType attribute which can be used in the query.
GET /api/dataItems?pageSize=50&order=displayName:asc&filter=dimensionItemType:eq:PROGRAM_INDICATOR&filter=displayName:ilike:someName&filter=programId:eq:WSGAb5XwJ3Y
Here, the PROGRAM_INDICATOR allows filtering by programId.
So, based on the examples 1) and 2) if you try filtering a DATA_ELEMENT by programId or filter a PROGRAM_INDICATOR by valueType, you should get no results. In other words, the filter will be applied only when the attribute actually exists for the respective data item.
Another important aspect to be highlighted is that this endpoint does NOT follow the same querying standards as other existing endpoints, like Metadata object filter for example. As a consequence, it supports a smaller set of features and querying. The main reason for that is the need for querying multiple different items that have different relationships, which is not possible using the existing filtering components (used by the others endpoints).
Base on the GET request/query, a few different responses are possible. Below we are summarizing each possibility.
{
"pager": {
"page": 1,
"pageCount": 27,
"total": 1339,
"pageSize": 50,
"nextPage": "https://play.dhis2.org/dev/api/36/dataItems?page=2&filter=displayName:ilike:a&filter=id:eq:nomatch&rootJunction=OR&displayName:asc=&paging=true"
},
"dataItems": [
{
"simplifiedValueType": "TEXT",
"displayName": "TB program Gender",
"displayShortName": "TB prog. Gen.",
"valueType": "TEXT",
"name": "TB program Gender",
"shortName": ""TB prog. Gen.",
"id": "ur1Edk5Oe2n.cejWyOfXge6",
"programId": "ur1Edk5Oe2n",
"dimensionItemType": "PROGRAM_ATTRIBUTE"
},
...
]
}
{
"pager": {
"page": 1,
"pageCount": 1,
"total": 0,
"pageSize": 50
},
"dataItems": []
}
{
"httpStatus": "Conflict",
"httpStatusCode": 409,
"status": "ERROR",
"message": "Unable to parse element `INVALID_TYPE` on filter `dimensionItemType`. The values available are: [INDICATOR, DATA_ELEMENT, DATA_ELEMENT_OPERAND, DATA_SET, PROGRAM_INDICATOR, PROGRAM_DATA_ELEMENT, PROGRAM_ATTRIBUTE]",
"errorCode": "E2016"
}
{
"httpStatus": "Internal Server Error",
"httpStatusCode": 500,
"status": "ERROR"
}
This endpoint also supports pagination as a default option. If needed, you can disable pagination by adding paging=false to the GET request. ie.: /api/dataItems?filter=dimensionItemType:in:[INDICATOR]&paging=false.
Here is an example of a payload when the pagination is enabled. Remember that pagination is the default option and does not need to be explicitly set.
{
"pager": {
"page": 1,
"pageCount": 20,
"total": 969,
"pageSize": 50,
"nextPage": "https://play.dhis2.org/dev/api/dataItems?page=2&filter=dimensionItemType:in:[INDICATOR]"
},
"dataItems": [...]
}
Note
For elements where there is an associated Program, the program name should also be returned as part of the element name (as a prefix). The only exception is
Program Indicators. We will not prefix the element name in this case, in order to keep the same behavior as existing endpoints.The /dataItems endpoint will bring only data items that are defined as aggregatable type. The current list of valid aggregatable types is:
TEXT, LONG_TEXT,LETTER,BOOLEAN,TRUE_ONLY,NUMBER,UNIT_INTERVAL,PERCENTAGE,INTEGER,INTEGER_POSITIVE,INTEGER_NEGATIVE,INTEGER_ZERO_OR_POSITIVE,COORDINATE.Even though the response returns several different attributes, the filtering can only be applied to specific ones:
displayName,name,valueType,id,dimensionItemType,programId.The
orderwill be considered invalid if it is set on top ofname(ie.: order=name:asc) and afilteris set todisplayName(ie.: filter=displayName:ilike:aName), and vice-versa.
Now that we have a good idea of the main features and usage of this endpoint let's have a look in the list of attributes returned in the response.
| Field | Description |
|---|---|
| id | The unique identifier. |
| code | A custom code to identify the dimensional item. |
| name | The name given for the item. |
| displayName | The display name defined. |
| shortName | The short name given for the item. |
| displayShortName | The display short name defined. |
| dimensionItemType | The dimension type. Possible types: INDICATOR, DATA_ELEMENT, REPORTING_RATE, PROGRAM_INDICATOR, PROGRAM_DATA_ELEMENT, PROGRAM_ATTRIBUTE. |
| valueType | The item value type (more specific definition). Possible types: TEXT, LONG_TEXT, LETTER, BOOLEAN, TRUE_ONLY, UNIT_INTERVAL, PERCENTAGE, INTEGER, INTEGER_POSITIVE, INTEGER_NEGATIVE, INTEGER_ZERO_OR_POSITIVE, COORDINATE |
| simplifiedValueType | The general representation of a value type. Valid values: NUMBER, BOOLEAN, DATE, FILE_RESOURCE, COORDINATE, TEXT |
| programId | The associated programId. |
DHIS2 has several resources for data analysis. These resources include charts, maps, reportTables, reports and documents. By visiting these resources you will retrieve information about the resource. For instance, by navigating to /api/charts/R0DVGvXDUNP the response will contain the name, last date of modification and so on for the chart. To retrieve the analytical representation, for instance, a PNG representation of the chart, you can append /data to all these resources. For instance, by visiting /api/charts/R0DVGvXDUNP/data the system will return a PNG image of the chart.
| Resource | Description | Data URL | Resource representations |
|---|---|---|---|
| charts | Charts | /api/charts/<identifier>/data | png |
| eventCharts | Event charts | /api/eventCharts/<identifier>/data | png |
| maps | Maps | /api/maps/<identifier>/data | png |
| reportTables | Pivot tables | /api/reportTables/<identifier>/data | json | jsonp | html | xml | pdf | xls | csv |
| reports | Standard reports | /api/reports/<identifier>/data | pdf | xls | html |
| documents | Resources | /api/documents/<identifier>/data | <follows document> |
The data content of the analytical representations can be modified by providing a date query parameter. This requires that the analytical resource is set up for relative periods for the period dimension.
| Query parameter | Value | Description |
|---|---|---|
| date | Date in yyyy-MM-dd format | Basis for relative periods in report (requires relative periods) |
| Query parameter | Description |
|---|---|
| width | Width of image in pixels |
| height | Height of image in pixels |
Some examples of valid URLs for retrieving various analytical representations are listed below.
/api/charts/R0DVGvXDUNP/data
/api/charts/R0DVGvXDUNP/data?date=2013-06-01
/api/reportTables/jIISuEWxmoI/data.html
/api/reportTables/jIISuEWxmoI/data.html?date=2013-01-01
/api/reportTables/FPmvWs7bn2P/data.xls
/api/reportTables/FPmvWs7bn2P/data.pdf
/api/maps/DHE98Gsynpr/data
/api/maps/DHE98Gsynpr/data?date=2013-07-01
/api/reports/OeJsA6K1Otx/data.pdf
/api/reports/OeJsA6K1Otx/data.pdf?date=2014-01-01
DHIS2 comes with plugins which enable you to embed live data directly in your web portal or web site. Currently, plugins exist for charts, maps and pivot tables.
Please be aware that all of the code examples in this section are for demonstration purposes only. They should not be used as is in production systems. To make things simple, the credentials (admin/district) have been embedded into the scripts. In a real scenario, you should never expose credentials in javascript as it opens a vulnerability to the application. In addition, you would create a user with more minimal privileges rather than make use of a superuser to fetch resources for your portal.
It is possible to workaround exposing the credentials by using a reverse proxy such as nginx or apache2. The proxy can be configured to inject the required Authorization header for only the endpoints that you wish to make public. There is some documentation to get you started in the section of the implementers manual which describes reverse proxy configuration.
In this example, we will see how we can embed good-looking, light-weight html pivot tables with data served from a DHIS2 back-end into a Web page. To accomplish this we will use the Pivot table plug-in. The plug-in is written in Javascript and depends on the jQuery library only. A complete working example can be found at http://play.dhis2.org/portal/table.html. Open the page in a web browser and view the source to see how it is set up.
We start by having a look at what the complete html file could look like. This setup puts two tables in our web page. The first one is referring to an existing table. The second is configured inline.
<!DOCTYPE html>
<html>
<head>
<script src="https://dhis2-cdn.org/v227/plugin/jquery-2.2.4.min.js"></script>
<script src="https://dhis2-cdn.org/v227/plugin/reporttable.js"></script>
<script>
reportTablePlugin.url = "https://play.dhis2.org/demo";
reportTablePlugin.username = "admin";
reportTablePlugin.password = "district";
reportTablePlugin.loadingIndicator = true;
// Referring to an existing table through the id parameter, render to "report1" div
var r1 = { el: "report1", id: "R0DVGvXDUNP" };
// Table configuration, render to "report2" div
var r2 = {
el: "report2",
columns: [
{
dimension: "dx",
items: [{ id: "YtbsuPPo010" }, { id: "l6byfWFUGaP" }],
},
],
rows: [{ dimension: "pe", items: [{ id: "LAST_12_MONTHS" }] }],
filters: [{ dimension: "ou", items: [{ id: "USER_ORGUNIT" }] }],
// All following properties are optional
title: "My custom title",
showColTotals: false,
showRowTotals: false,
showColSubTotals: false,
showRowSubTotals: false,
showDimensionLabels: false,
hideEmptyRows: true,
skipRounding: true,
aggregationType: "AVERAGE",
showHierarchy: true,
completedOnly: true,
displayDensity: "COMFORTABLE",
fontSize: "SMALL",
digitGroupSeparator: "COMMA",
legendSet: { id: "fqs276KXCXi" },
};
reportTablePlugin.load([r1, r2]);
</script>
</head>
<body>
<div id="report1"></div>
<div id="report2"></div>
</body>
</html>
Two files are included in the header section of the HTML document. The first file is the jQuery JavaScript library (we use the DHIS2 content delivery network in this case). The second file is the Pivot table plug-in. Make sure the path is pointing to your DHIS2 server installation.
Now let us have a look at the various options for the Pivot tables. One property is required: el (please refer to the table below). Now, if you want to refer to pre-defined tables already made inside DHIS2 it is sufficient to provide the additional id parameter. If you instead want to configure a pivot table dynamically you should omit the id parameter and provide data dimensions inside a columns array, a rows array and optionally a filters array instead.
A data dimension is defined as an object with a text property called dimension. This property accepts the following values: dx (indicator, data element, data element operand, data set, event data item and program indicator), pe (period), ou (organisation unit) or the id of any organisation unit group set or data element group set (can be found in the web api). The data dimension also has an array property called items which accepts objects with an id property.
To sum up, if you want to have e.g. "ANC 1 Coverage", "ANC 2 Coverage" and "ANC 3 Coverage" on the columns in your table you can make the following columns config:
columns: [{
dimension: "dx",
items: [
{id: "Uvn6LCg7dVU"}, // the id of ANC 1 Coverage
{id: "OdiHJayrsKo"}, // the id of ANC 2 Coverage
{id: "sB79w2hiLp8"} // the id of ANC 3 Coverage
]
}]
| Param | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| url | string | Yes | Base URL of the DHIS2 server | |
| username | string | Yes (if cross-domain) | Used for authentication if the server is running on a different domain | |
| password | string | Yes (if cross-domain) | Used for authentication if the server is running on a different domain | |
| loadingIndicator | boolean | No | Whether to show a loading indicator before the table appears |
| Param | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| el | string | Yes | Identifier of the HTML element to render the table in your web page | |
| id | string | No | Identifier of a pre-defined table (favorite) in DHIS2 | |
| columns | array | Yes (if no id provided) | Data dimensions to include in table as columns | |
| rows | array | Yes (if no id provided) | Data dimensions to include in table as rows | |
| filter | array | No | Data dimensions to include in table as filters | |
| title | string | No | Show a custom title above the table | |
| showColTotals | boolean | No | true | false | Whether to display totals for columns |
| showRowTotals | boolean | No | true | false | Whether to display totals for rows |
| showColSubTotals | boolean | No | true | false | Whether to display sub-totals for columns |
| showRowSubTotals | boolean | No | true | false | Whether to display sub-totals for rows |
| showDimensionLabels | boolean | No | true | false | Whether to display the name of the dimension top-left in the table |
| hideEmptyRows | boolean | No | false | true | Whether to hide rows with no data |
| skipRounding | boolean | No | false | true | Whether to skip rounding of data values |
| completedOnly | boolean | No | false | true | Whether to only show completed events |
| showHierarchy | boolean | No | false | true | Whether to extend orgunit names with the name of all anchestors |
| aggregationType | string | No | "SUM" |"AVERAGE" | "AVERAGE_SUM_ORG_UNIT"|"LAST"|"LAST_AVERAGE_ORG_UNIT"| "COUNT" | "STDDEV" | "VARIANCE" | "MIN" | "MAX" | Override the data element's default aggregation type |
| displayDensity | string | No | "NORMAL" | "COMFORTABLE" | "COMPACT" | The amount of space inside table cells |
| fontSize | string | No | "NORMAL" | "LARGE" | "SMALL" | Table font size |
| digitGroupSeparator | string | No | "SPACE" | "COMMA" | "NONE" | How values are formatted: 1 000 | 1,000 | 1000 |
| legendSet | object | No | Color the values in the table according to the legend set | |
| userOrgUnit | string / array | No | Organisation unit identifiers, overrides organisation units associated with curretn user, single or array | |
| relativePeriodDate | string | No | Date identifier e.g: "2016-01-01". Overrides the start date of the relative period |
In this example, we will see how we can embed good-looking Highcharts charts (http://www.highcharts.com) with data served from a DHIS2 back-end into a Web page. To accomplish this we will use the DHIS2 Visualizer plug-in. The plug-in is written in JavaScript and depends on the jQuery library. A complete working example can be found at http://play.dhis2.org/portal/chart.html. Open the page in a web browser and view the source to see how it is set up.
We start by having a look at what the complete html file could look like. This setup puts two charts on our web page. The first one is referring to an existing chart. The second is configured inline.
<!DOCTYPE html>
<html>
<head>
<script src="https://dhis2-cdn.org/v227/plugin/jquery-2.2.4.min.js"></script>
<script src="https://dhis2-cdn.org/v227/plugin/chart.js"></script>
<script>
chartPlugin.url = "https://play.dhis2.org/demo";
chartPlugin.username = "admin";
chartPlugin.password = "district";
chartPlugin.loadingIndicator = true;
// Referring to an existing chart through the id parameter, render to "report1" div
var r1 = { el: "report1", id: "R0DVGvXDUNP" };
// Chart configuration, render to "report2" div
var r2 = {
el: "report2",
columns: [
{
dimension: "dx",
items: [{ id: "YtbsuPPo010" }, { id: "l6byfWFUGaP" }],
},
],
rows: [{ dimension: "pe", items: [{ id: "LAST_12_MONTHS" }] }],
filters: [{ dimension: "ou", items: [{ id: "USER_ORGUNIT" }] }],
// All following properties are optional
title: "Custom title",
type: "line",
showValues: false,
hideEmptyRows: true,
regressionType: "LINEAR",
completedOnly: true,
targetLineValue: 100,
targetLineTitle: "My target line title",
baseLineValue: 20,
baseLineTitle: "My base line title",
aggregationType: "AVERAGE",
rangeAxisMaxValue: 100,
rangeAxisMinValue: 20,
rangeAxisSteps: 5,
rangeAxisDecimals: 2,
rangeAxisTitle: "My range axis title",
domainAxisTitle: "My domain axis title",
hideLegend: true,
};
// Render the charts
chartPlugin.load(r1, r2);
</script>
</head>
<body>
<div id="report1"></div>
<div id="report2"></div>
</body>
</html>
Two files are included in the header section of the HTML document. The first file is the jQuery JavaScript library (we use the DHIS2 content delivery network in this case). The second file is the Visualizer chart plug-in. Make sure the path is pointing to your DHIS2 server installation.
Now let us have a look at the various options for the charts. One property is required: el (please refer to the table below). Now, if you want to refer to pre-defined charts already made inside DHIS2 it is sufficient to provide the additional id parameter. If you instead want to configure a chart dynamically you should omit the id parameter and provide data dimensions inside a columns array, a rows array and optionally a filters array instead.
A data dimension is defined as an object with a text property called dimension. This property accepts the following values: dx (indicator, data element, data element operand, data set, event data item and program indicator), pe (period), ou (organisation unit) or the id of any organisation unit group set or data element group set (can be found in the web api). The data dimension also has an array property called items which accepts objects with an id property.
To sum up, if you want to have e.g. "ANC 1 Coverage", "ANC 2 Coverage" and "ANC 3 Coverage" on the columns in your chart you can make the following columns config:
columns: [{
dimension: "dx",
items: [
{id: "Uvn6LCg7dVU"}, // the id of ANC 1 Coverage
{id: "OdiHJayrsKo"}, // the id of ANC 2 Coverage
{id: "sB79w2hiLp8"} // the id of ANC 3 Coverage
]
}]
| Param | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| url | string | Yes | Base URL of the DHIS2 server | |
| username | string | Yes (if cross-domain) | Used for authentication if the server is running on a different domain | |
| password | string | Yes (if cross-domain) | Used for authentication if the server is running on a different domain | |
| loadingIndicator | boolean | No | Whether to show a loading indicator before the chart appears |
| Param | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| el | string | Yes | Identifier of the HTML element to render the chart in your web page | |
| id | string | No | Identifier of a pre-defined chart (favorite) in DHIS | |
| type | string | No | column | stackedcolumn | bar | stackedbar | line | area | pie | radar | gauge | Chart type |
| columns | array | Yes (if no id provided) | Data dimensions to include in chart as series | |
| rows | array | Yes (if no id provided) | Data dimensions to include in chart as category | |
| filter | array | No | Data dimensions to include in chart as filters | |
| title | string | No | Show a custom title above the chart | |
| showValues | boolean | No | false | true | Whether to display data values on the chart |
| hideEmptyRows | boolean | No | false | true | Whether to hide empty categories |
| completedOnly | boolean | No | false | true | Whether to only show completed events |
| regressionType | string | No | "NONE" | "LINEAR" | Show trend lines |
| targetLineValue | number | No | Display a target line with this value | |
| targetLineTitle | string | No | Display a title on the target line (does not apply without a target line value) | |
| baseLineValue | number | No | Display a base line with this value | |
| baseLineTitle | string | No | Display a title on the base line (does not apply without a base line value) | |
| rangeAxisTitle | number | No | Title to be displayed along the range axis | |
| rangeAxisMaxValue | number | No | Max value for the range axis to display | |
| rangeAxisMinValue | number | No | Min value for the range axis to display | |
| rangeAxisSteps | number | No | Number of steps for the range axis to display | |
| rangeAxisDecimals | number | No | Bumber of decimals for the range axis to display | |
| domainAxisTitle | number | No | Title to be displayed along the domain axis | |
| aggregationType | string | No | "SUM" |"AVERAGE" | "AVERAGE_SUM_ORG_UNIT"|"LAST"|"LAST_AVERAGE_ORG_UNIT"| "COUNT" | "STDDEV" | "VARIANCE" | "MIN" | "MAX" | Override the data element's default aggregation type |
| hideLegend | boolean | No | false | true | Whether to hide the series legend |
| hideTitle | boolean | No | false | true | Whether to hide the chart title |
| userOrgUnit | string / array | No | Organisation unit identifiers, overrides organisation units associated with curretn user, single or array | |
| relativePeriodDate | string | No | Date identifier e.g: "2016-01-01". Overrides the start date of the relative period |
In this example we will see how we can embed maps with data served from a DHIS2 back-end into a Web page. To accomplish this we will use the GIS map plug-in. The plug-in is written in JavaScript and depends on the Ext JS library only. A complete working example can be found at http://play.dhis2.org/portal/map.html. Open the page in a web browser and view the source to see how it is set up.
We start by having a look at what the complete html file could look like. This setup puts two maps on our web page. The first one is referring to an existing map. The second is configured inline.
<!DOCTYPE html>
<html>
<head>
<link
rel="stylesheet"
type="text/css"
href="http://dhis2-cdn.org/v215/ext/resources/css/ext-plugin-gray.css"
/>
<script src="http://dhis2-cdn.org/v215/ext/ext-all.js"></script>
<script src="https://maps.google.com/maps/api/js?sensor=false"></script>
<script src="http://dhis2-cdn.org/v215/openlayers/OpenLayers.js"></script>
<script src="http://dhis2-cdn.org/v215/plugin/map.js"></script>
<script>
var base = "https://play.dhis2.org/demo";
// Login - if OK, call the setLinks function
Ext.onReady(function () {
Ext.Ajax.request({
url: base + "dhis-web-commons-security/login.action",
method: "POST",
params: { j_username: "portal", j_password: "Portal123" },
success: setLinks,
});
});
function setLinks() {
DHIS.getMap({ url: base, el: "map1", id: "ytkZY3ChM6J" });
DHIS.getMap({
url: base,
el: "map2",
mapViews: [
{
columns: [
{
dimension: "in",
items: [{ id: "Uvn6LCg7dVU" }],
},
], // data
rows: [
{
dimension: "ou",
items: [
{ id: "LEVEL-3" },
{ id: "ImspTQPwCqd" },
],
},
], // organisation units,
filters: [
{
dimension: "pe",
items: [{ id: "LAST_3_MONTHS" }],
},
], // period
// All following options are optional
classes: 7,
colorLow: "02079c",
colorHigh: "e5ecff",
opacity: 0.9,
legendSet: { id: "fqs276KXCXi" },
},
],
});
}
</script>
</head>
<body>
<div id="map1"></div>
<div id="map2"></div>
</body>
</html>
Four files and Google Maps are included in the header section of the HTML document. The first two files are the Ext JS JavaScript library (we use the DHIS2 content delivery network in this case) and its stylesheet. The third file is the OpenLayers JavaScript mapping framework (http://openlayers.org) and finally we include the GIS map plug-in. Make sure the path is pointing to your DHIS2 server installation.
<link rel="stylesheet" type="text/css" href="http://dhis2-cdn.org/v215/ext/resources/css/ext-plugin-gray.css" />
<script src="http://dhis2-cdn.org/v215/ext/ext-all.js"></script>
<script src="https://maps.google.com/maps/api/js?sensor=false"></script>
<script src="http://dhis2-cdn.org/v215/openlayers/OpenLayers.js"></script>
<script src="http://dhis2-cdn.org/v215/plugin/map.js"></script>
To authenticate with the DHIS2 server we use the same approach as in the previous section. In the header of the HTML document we include the following Javascript inside a script element. The setLinks method will be implemented later. Make sure the base variable is pointing to your DHIS2 installation.
Ext.onReady( function() {
Ext.Ajax.request({
url: base + "dhis-web-commons-security/login.action",
method: "POST",
params: { j_username: "portal", j_password: "Portal123" },
success: setLinks
});
});
Now let us have a look at the various options for the GIS plug-in. Two properties are required: el and url (please refer to the table below). Now, if you want to refer to pre-defined maps already made in the DHIS2 GIS it is sufficient to provide the additional id parameter. If you instead want to configure a map dynamically you should omit the id parameter and provide mapViews (layers) instead. They should be configured with data dimensions inside a columns array, a rows array and optionally a filters array instead.
A data dimension is defined as an object with a text property called dimension. This property accepts the following values: in (indicator), de (data element), ds (data set), dc (data element operand), pe (period), ou (organisation unit) or the id of any organisation unit group set or data element group set (can be found in the web api). The data dimension also has an array property called items which accepts objects with an id property.
To sum up, if you want to have a layer with e.g. "ANC 1 Coverage" in your map you can make the following columns config:
columns: [{
dimension: "in", // could be "in", "de", "ds", "dc", "pe", "ou" or any dimension id
items: [{id: "Uvn6LCg7dVU"}], // the id of ANC 1 Coverage
}]
| Param | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| el | string | Yes | Identifier of the HTML element to render the map in your web page | |
| url | string | Yes | Base URL of the DHIS2 server | |
| id | string | No | Identifier of a pre-defined map (favorite) in DHIS | |
| baseLayer | string/boolean | No | 'gs', 'googlestreets' | 'gh', 'googlehybrid' | 'osm', 'openstreetmap' | false, null, 'none', 'off' | Show background map |
| hideLegend | boolean | No | false | true | Hide legend panel |
| mapViews | array | Yes (if no id provided) | Array of layers |
If no id is provided you must add map view objects with the following config options:
| layer | string | No | "thematic1" | "thematic2" | "thematic3" | "thematic4" | "boundary" | "facility" | | The layer to which the map view content should be added |
| columns | array | Yes | Indicator, data element, data operand or data set (only one will be used) | |
| rows | array | Yes | Organisation units (multiple allowed) | |
| filter | array | Yes | Period (only one will be used) | |
| classes | integer | No | 5 | 1-7 | The number of automatic legend classes |
| method | integer | No | 2 | 3 | Legend calculation method where 2 = equal intervals and 3 = equal counts |
| colorLow | string | No | "ff0000" (red) | Any hex color | The color representing the first automatic legend class |
| colorHigh | string | No | "00ff00" (green) | Any hex color | The color representing the last automatic legend class |
| radiusLow | integer | No | 5 | Any integer | Only applies for facilities (points) - radius of the point with lowest value |
| radiusHigh | integer | No | 15 | Any integer | Only applies for facilities (points) - radius of the point with highest value |
| opacity | double | No | 0.8 | 0 - 1 | Opacity/transparency of the layer content |
| legendSet | object | No | Pre-defined legend set. Will override the automatic legend set. | |
| labels | boolean/object | No | false | true | object properties: fontSize (integer), color (hex string), strong (boolean), italic (boolean) | Show labels on the map |
| width | integer | No | Width of map | |
| height | integer | No | Height of map | |
| userOrgUnit | string / array | No | Organisation unit identifiers, overrides organisation units associated with current user, single or array |
We continue by adding one pre-defined and one dynamically configured map to our HTML document. You can browse the list of available maps using the Web API here: http://play.dhis2.org/demo/api/33/maps.
function setLinks() {
DHIS.getMap({ url: base, el: "map1", id: "ytkZY3ChM6J" });
DHIS.getMap({
url: base,
el: "map2",
mapViews: [
columns: [ // Chart series
columns: [{dimension: "in", items: [{id: "Uvn6LCg7dVU"}]}], // data
],
rows: [ // Chart categories
rows: [{dimension: "ou", items: [{id: "LEVEL-3"}, {id: "ImspTQPwCqd"}]}], // organisation units
],
filters: [
filters: [{dimension: "pe", items: [{id: "LAST_3_MONTHS"}]}], // period
],
// All following options are optional
classes: 7,
colorLow: "02079c",
colorHigh: "e5ecff",
opacity: 0.9,
legendSet: {id: "fqs276KXCXi"}
]
});
}
Finally we include some div elements in the body section of the HTML document with the identifiers referred to in the plug-in JavaScript.
<div id="map1"></div>
<div id="map2"></div>
To see a complete working example please visit http://play.dhis2.org/portal/map.html.
To access analytical, aggregated data in DHIS2 you can work with the analytics resource. The analytics resource is powerful as it lets you query and retrieve data aggregated along all available data dimensions. For instance, you can ask the analytics resource to provide the aggregated data values for a set of data elements, periods and organisation units. Also, you can retrieve the aggregated data for a combination of any number of dimensions based on data elements and organisation unit group sets.
/api/33/analytics
The analytics resource lets you specify a range of query parameters:
| Query parameter | Required | Description | Options (default first) |
|---|---|---|---|
| dimension | Yes | Dimensions and dimension items to be retrieved, repeated for each. | Any dimension |
| filter | No | Filters and filter items to apply to the query, repeated for each. | Any dimension |
| aggregationType | No | Aggregation type to use in the aggregation process. | SUM | AVERAGE | AVERAGE_SUM_ORG_UNIT | LAST | LAST_AVERAGE_ORG_UNIT | COUNT | STDDEV | VARIANCE | MIN | MAX |
| measureCriteria | No | Filters for the data/measures. | EQ | GT | GE | LT | LE |
| preAggregationMeasureCriteria | No | Filters for the data/measure, applied before aggregation is performed. | EQ | GT | GE | LT | LE |
| startDate | No | Start date for a date range. Will be applied as a filter. Can not be used together with a period dimension or filter. | Date |
| endDate | No | End date for date range. Will be applied as a filter. Can not be used together with a period dimension or filter. | Date |
| skipMeta | No | Exclude the metadata part of the response (improves performance). | false | true |
| skipData | No | Exclude the data part of the response. | false | true |
| skipRounding | No | Skip rounding of data values, i.e. provide full precision. | false | true |
| hierarchyMeta | No | Include names of organisation unit ancestors and hierarchy paths of organisation units in the metadata. | false | true |
| ignoreLimit | No | Ignore limit on max 50 000 records in response - use with care. | false | true |
| tableLayout | No | Use plain data source or table layout for the response. | false | true |
| hideEmptyRows | No | Hides empty rows in response, applicable when table layout is true. | false | true |
| hideEmptyColumns | No | Hides empty columns in response, applicable when table layout is true. | false | true |
| showHierarchy | No | Display full org unit hierarchy path together with org unit name. | false | true |
| includeNumDen | No | Include the numerator and denominator used to calculate the value in the response. | false | true |
| includeMetadataDetails | No | Include metadata details to raw data response. | false | true |
| displayProperty | No | Property to display for metadata. | NAME | SHORTNAME |
| outputIdScheme | No | Identifier scheme used for metadata items in the query response. It accepts identifier, code or attributes. | UID | UUID | CODE | NAME | ATTRIBUTE:<ID> |
| outputOrgUnitIdScheme | No | Identifier scheme used for metadata items in the query response. This parameter overrides the "outputIdScheme" specifically for for Org Units. It accepts identifier, code or attributes. | UUID | CODE | NAME | ATTRIBUTE:<ID> |
| outputDataElementIdScheme | No | Identifier scheme used for metadata items in the query response. This parameter overrides the "outputIdScheme" specifically for Data Elements. It accepts identifier, code or attributes. | UUID | CODE | NAME | ATTRIBUTE:<ID> |
| inputIdScheme | No | Identifier scheme to use for metadata items in the query request, can be an identifier, code or attributes. | UID | CODE | ATTRIBUTE:<ID> |
| approvalLevel | No | Include data which has been approved at least up to the given approval level, refers to identifier of approval level. | Identifier of approval level |
| relativePeriodDate | No | Date used as basis for relative periods. | Date. |
| userOrgUnit | No | Explicitly define the user org units to utilize, overrides organisation units associated with the current user, multiple identifiers can be separated by semicolon. | Organisation unit identifiers. |
| columns | No | Dimensions to use as columns for table layout. | Any dimension (must be query dimension) |
| rows | No | Dimensions to use as rows for table layout. | Any dimension (must be query dimension) |
| order | No | Specify the ordering of rows based on value. | ASC | DESC |
| timeField | No | The time field to base event aggregation on. Applies to event data items only. Can be a predefined option or the ID of an attribute or data element with a time-based value type. | EVENT_DATE | ENROLLMENT_DATE | INCIDENT_DATE | DUE_DATE | COMPLETED_DATE | CREATED | LAST_UPDATED | <Attribute ID> | <Data element ID> |
| orgUnitField | No | The organisation unit field to base event aggregation on. Applies to event data items only. Can be the ID of an attribute or data element with the Organisation unit value type. The default option is specified as omitting the query parameter. | <Attribute ID> | <Data element ID> |
The dimension query parameter defines which dimensions should be included in the analytics query. Any number of dimensions can be specified. The dimension parameter should be repeated for each dimension to include in the query response. The query response can potentially contain aggregated values for all combinations of the specified dimension items.
The filter parameter defines which dimensions should be used as filters for the data retrieved in the analytics query. Any number of filters can be specified. The filter parameter should be repeated for each filter to use in the query. A filter differs from a dimension in that the filter dimensions will not be part of the query response content, and that the aggregated values in the response will be collapsed on the filter dimensions. In other words, the data in the response will be aggregated on the filter dimensions, but the filters will not be included as dimensions in the actual response. As an example, to query for certain data elements filtered by the periods and organisation units you can use the following URL:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU&filter=pe:2014Q1;2014Q2
&filter=ou:O6uvpzGd5pu;lc3eMKXaEfw
The aggregationType query parameter lets you define which aggregation operator should be used for the query. By default, the aggregation operator defined for data elements included in the query will be used. If your query does not contain any data elements but does include data element groups, the aggregation operator of the first data element in the first group will be used. The order of groups and data elements is undefined. This query parameter allows you to override the default and specify a specific aggregation operator. As an example, you can set the aggregation operator to "count" with the following URL:
/api/33/analytics?dimension=dx:fbfJHSPpUQD&dimension=pe:2014Q1&dimension=ou:O6uvpzGd5pu
&aggregationType=COUNT
The measureCriteria query parameter lets you filter out ranges of data records to return. You can instruct the system to return only records where the aggregated data value is equal, greater than, greater or equal, less than or less or equal to certain values. You can specify any number of criteria on the following format, where criteria and value should be substituted with real values:
/api/33/analytics?measureCriteria=criteria:value;criteria:value
As an example, the following query will return only records where the data value is greater or equal to 6500 and less than 33000:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU&dimension=pe:2014
&dimension=ou:O6uvpzGd5pu;lc3eMKXaEfw&measureCriteria=GE:6500;LT:33000
Similar to measureCriteria, the preAggregationMeasureCriteria query parameter lets you filter out data, only before aggregation is performed. For example, the following query only aggregates data where the original value is within the criteria defined:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU&dimension=pe:2014
&dimension=ou:O6uvpzGd5pu;lc3eMKXaEfw&preAggregationMeasureCriteria=GE:10;LT:100
The startDate and endDate parameters can be used to specify a custom date range to aggregate over. When specifying a date range you can not specify relative nor fixed periods as dimension or filter. The date range will filter the analytics response. You can use it like this:
/api/33/analytics.json?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&dimension=ou:ImspTQPwCqd&startDate=2018-01-01&endDate=2018-06-01
In order to have the analytics resource generate the data in the shape of a ready-made table, you can provide the tableLayout parameter with true as value. Instead of generating a plain, normalized data source, the analytics resource will now generate the data in a table layout. You can use the columns and rows parameters with dimension identifiers separated by semi-colons as values to indicate which ones to use as table columns and rows. The column and rows dimensions must be present as a data dimension in the query (not a filter). Such a request can look like this:
/api/33/analytics.html?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU&dimension=pe:2014Q1;2014Q2
&dimension=ou:O6uvpzGd5pu&tableLayout=true&columns=dx;ou&rows=pe
The order parameter can be used for analytics resource to generate ordered data. The data will be ordered in ascending (or descending) order of values. An example request for ordering the values in descending order is:
/api/33/analytics?dimension=dx:fbfJHSPpUQD&dimension=pe:LAST_12_MONTHS
&dimension=ou:O6uvpzGd5pu&order=DESC
DHIS2 features a multi-dimensional data model with several fixed and dynamic data dimensions. The fixed dimensions are the data element, period (time) and organisation unit dimension. You can dynamically add dimensions through categories, data element group sets and organisation unit group sets. The table below displays the available data dimensions in DHIS2. Each data dimension has a corresponding dimension identifier, and each dimension can have a set of dimension items:
| Dimension | Dimension id | Dimension items |
|---|---|---|
| Data elements, indicators, data set reporting rate metrics, data element operands, program indicators, program data elements, program attributes, validation rules | dx | Data element, indicator, data set reporting rate metrics, data element operand, program indicator, program attribute identifiers, keyword DE_GROUP-<group-id>, IN_GROUP-<group-id>, use <dataelement-id>.<optioncombo-id> for data element operands, <program-id>.<dataelement-id> for program data elements, <program-id>.<attribute-id> for program attributes, <validationrule-id> for validation results. |
| Periods (time) | pe | ISO periods and relative periods, see "date and period format" |
| Organisation unit hierarchy | ou | Organisation unit identifiers, and keywords USER_ORGUNIT, USER_ORGUNIT_CHILDREN, USER_ORGUNIT_GRANDCHILDREN, LEVEL-<level> and OU_GROUP-<group-id> |
| Category option combinations | co | Category option combo identifiers (omit to get all items) |
| Attribute option combinations | ao | Category option combo identifiers (omit to get all items) |
| Categories | <category id> | Category option identifiers (omit to get all items) |
| Data element group sets | <group set id> | Data element group identifiers (omit to get all items) |
| Organisation unit group sets | <group set id> | Organisation unit group identifiers (omit to get all items) |
| Category option group sets | <group set id> | Category option group identifiers (omit to get all items) |
It is not necessary to be aware of which objects are used for the various dynamic dimensions when designing analytics queries. You can get a complete list of dynamic dimensions by visiting this URL in the Web API:
/api/33/dimensions
If you want to retrieve only the dimensional items for a given dynamic dimension you can use the exemple below. The pagination is disabled by default. It can be enabled by adding the pagination parameter paging=true to the URL.
/api/33/dimensions/J5jldMd8OHv/items?paging=true
The base URL to the analytics resource is /api/analytics. To request specific dimensions and dimension items you can use a query string on the following format, where dim-id and dim-item should be substituted with real values:
/api/33/analytics?dimension=dim-id:dim-item;dim-item&dimension=dim-id:dim-item;dim-item
As illustrated above, the dimension identifier is followed by a colon while the dimension items are separated by semi-colons. As an example, a query for two data elements, two periods and two organisation units can be done with the following URL:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&dimension=pe:2016Q1;2016Q2&dimension=ou:O6uvpzGd5pu;lc3eMKXaEfw
To query for data broken down by category option combinations instead of data element totals you can include the category dimension in the query string, for instance like this:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&dimension=co&dimension=pe:201601&dimension=ou:O6uvpzGd5pu;lc3eMKXaEfw
When selecting data elements you can also select all data elements in a group as items by using the DE_GROUP-
/api/33/analytics?dimension=dx:DE_GROUP-h9cuJOkOwY2
&dimension=pe:201601&dimension=ou:O6uvpzGd5pu
When selecting data set reporting rates, the syntax contains a data set identifier followed by a reporting rate metric:
/api/33/analytics?dimension=dx:BfMAe6Itzgt.REPORTING_RATE;BfMAe6Itzgt.ACTUAL_REPORTS
&dimension=pe:201601&dimension=ou:O6uvpzGd5pu
To query for program data elements (of tracker domain type) you can get those by specifying the program for each data element using the
/api/33/analytics.json?dimension=dx:eBAyeGv0exc.qrur9Dvnyt5;eBAyeGv0exc.GieVkTxp4HH
&dimension=pe:LAST_12_MONTHS&filter=ou:ImspTQPwCqd
To query for program attributes (tracked entity attributes) you can get those by specifying the program for each attribute using the
/api/33/analytics.json?dimension=dx:IpHINAT79UW.a3kGcGDCuk6;IpHINAT79UW.UXz7xuGCEhU
&dimension=pe:LAST_4_QUARTERS&dimension=ou:ImspTQPwCqd
To query for organisation unit group sets and data elements you can use the following URL. Notice how the group set identifier is used as a dimension identifier and the groups as dimension items:
/api/33/analytics?dimension=Bpx0589u8y0:oRVt7g429ZO;MAs88nJc9nL
&dimension=pe:2016&dimension=ou:ImspTQPwCqd
To query for data elements and categories you can use this URL. Use the category identifier as a dimension identifier and the category options as dimension items:
/api/33/analytics?dimension=dx:s46m5MS0hxu;fClA2Erf6IO&dimension=pe:2016
&dimension=YNZyaJHiHYq:btOyqprQ9e8;GEqzEKCHoGA&filter=ou:ImspTQPwCqd
To query using relative periods and organisation units associated with the current user you can use a URL like this:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&dimension=pe:LAST_12_MONTHS&dimension=ou:USER_ORGUNIT
When selecting organisation units for a dimension you can select an entire level optionally constrained by any number of boundary organisation units with the LEVEL-<level> syntax. Boundary refers to a top node in a sub-hierarchy, meaning that all organisation units at the given level below the given boundary organisation unit in the hierarchy will be included in the response, and is provided as regular organisation unit dimension items. The level value can either be a numerical level or refer to the identifier of the organisation unit level entity. A simple query for all org units at level three:
/api/33/analytics?dimension=dx:fbfJHSPpUQD&dimension=pe:2016&dimension=ou:LEVEL-3
A query for level three and four with two boundary org units can be specified like this:
/api/33/analytics?dimension=dx:fbfJHSPpUQD&dimension=pe:2016
&dimension=ou:LEVEL-3;LEVEL-4;O6uvpzGd5pu;lc3eMKXaEf
When selecting organisation units you can also select all organisation units in an organisation unit group to be included as dimension items using the OU_GROUP-
/api/33/analytics?dimension=dx:fbfJHSPpUQD&dimension=pe:2016
&dimension=ou:OU_GROUP-w0gFTTmsUcF;OU_GROUP-EYbopBOJWsW;O6uvpzGd5pu;lc3eMKXaEf
You can utilize identifier schemes for the metadata part of the analytics response with the outputIdScheme property like this. You can use ID, code and attributes as identifier scheme:
/api/33/analytics?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&dimension=pe:2017Q1;2017Q2&dimension=ou:O6uvpzGd5pu&outputIdScheme=CODE
A few things to be aware of when using the analytics resource are listed below.
Data elements, indicator, data set reporting rates, program data elements and program indicators are part of a common data dimension, identified as "dx". This means that you can use any of data elements, indicators and data set identifiers together with the "dx" dimension identifier in a query.
For the category, data element group set and organisation unit group set dimensions, all dimension items will be used in the query if no dimension items are specified.
For the period dimension, the dimension items are ISO period identifiers and/or relative periods. Please refer to the section above called "Date and period format" for the period format and available relative periods.
For the organisation unit dimension, you can specify the items to be the organisation unit or sub-units of the organisation unit associated with the user currently authenticated for the request using the keys USER_ORGUNIT or USER_ORGUNIT_CHILDREN as items, respectively. You can also specify organisation unit identifiers directly, or a combination of both.
For the organisation unit dimension, you can specify the organisation hierarchy level and the boundary unit to use for the request on the format LEVEL-<level>-<boundary-id>; as an example LEVEL-3-ImspTQPwCqd implies all organisation units below the given boundary unit at level 3 in the hierarchy.
For the organisation unit dimension, the dimension items are the organisation units and their sub-hierarchy - data will be aggregated for all organisation units below the given organisation unit in the hierarchy.
You cannot specify dimension items for the category option combination dimension. Instead, the response will contain the items which are linked to the data values.
The dx dimension is a special dimension which can contain all of the following data types.
| Type | Syntax | Description | Data source |
|---|---|---|---|
| Indicator | <indicator-id> | Indicator identifier. | Aggregated data |
| Indicator grop | IN_GROUP-<indicatorgroup-id> | Keyword followed by an indicator group identifier. Will include all indicators in the group in the response. | Aggregated data |
| Data element | <dataelement-id> | Data element identifier. | Aggregated data |
| Data element group | DE_GROUP-<dataelementgroup-id> | Keyword followed by a data element group identifier. Will include all data elements in the group in the response. | Aggregated data |
| Data element operand | <dataelement-id>.<categoryoptcombo-id>.<attributeoptcombo-id> | Data element identifier followed by one or both of category option combination and attribute option combo identifier. Wildcard "*" symbol can be used to indicate any option combination value. The attribute option combination identifier can be completely left out. | Aggregate data |
| Data set | <dataset-id>.<reporting-rate-metric> | Data set identifier followed by reporting rate metric. Can be REPORTING_RATE | REPORTING_RATE_ON_TIME | ACTUAL_REPORTS | ACTUAL_REPORTS_ON_TIME | EXPECTED_REPORTS. | Data set completeness registrations |
| Program data element | <program-id>.<dataelement-id> | Program identifier followed by data element identifier. Reads from events within the specified program. | Events from the given program |
| Program indicator | <programindicator-id> | Program indicator identifier. Reads from events from within the program associated with the program identifier. | Events from the program of the program indicator |
| Validation result | <validationrule-id> | Validation rule identifier. Will include validation rule violations for the validation rule, requires that validation results are generated and persisted. | Validation results |
Items from all of the various dx types can be combined in an analytics request. An example looks like this:
/api/33/analytics.json
?dimension=dx:Uvn6LCg7dVU;BfMAe6Itzgt.REPORTING_RATE;IpHINAT79UW.a3kGcGDCuk6
&dimension=pe:LAST_12_MONTHS&filter=ou:ImspTQPwCqd
The group syntax can be used together with any other item as well. An example looks like this:
/api/33/analytics.json
?dimension=dx:DE_GROUP-qfxEYY9xAl6;IN_GROUP-oehv9EO3vP7;BfMAe6Itzgt.REPORTING_RATE
&dimension=pe:LAST_12_MONTHS&filter=ou:ImspTQPwCqd
Data element operands can optionally specify attribute option combinations and use wildcards e.g. to specify all category option combination values:
/api/33/analytics.json
?dimension=dx:Uvn6LCg7dVU.*.j8vBiBqGf6O;Uvn6LCg7dVU.Z4oQs46iTeR
&dimension=pe:LAST_12_MONTHS&filter=ou:ImspTQPwCqd
Tip
A great way to learn how to use the analytics API is to use the DHIS2 pivot table app. You can play around with pivot tables using the various dimensions and items and click Download > Plain data source > JSON to see the resulting analytics API calls in the address bar of your Web browser.
The analytics response containing aggregate data can be returned in various representation formats. As usual, you can indicate interest in a specific format by appending a file extension to the URL, through the Accept HTTP header or through the format query parameter. The default format is JSON. The available formats and content-types are listed below.
json (application/json)
jsonp (application/javascript)
xml (application/xml)
csv (application/csv)
html (text/html)
html+css (text/html)
xls (application/vnd.ms-excel)
As an example, to request an analytics response in XML format you can use the following URL:
/api/33/analytics.xml?dimension=dx:fbfJHSPpUQD
&dimension=pe:2016&dimension=ou:O6uvpzGd5pu;lc3eMKXaEfw
The analytics responses must be retrieved using the HTTP GET method. This allows for direct linking to analytics responses from Web pages as well as other HTTP-enabled clients. To do functional testing we can use the cURL library. By executing this command against the demo database you will get an analytics response in JSON format:
curl "play.dhis2.org/demo/api/analytics.json?dimension=dx:eTDtyyaSA7f;FbKK4ofIv5R
&dimension=pe:2016Q1;2016Q2&filter=ou:ImspTQPwCqd" -u admin:district
The JSON response will look like this:
{
"headers": [
{
"name": "dx",
"column": "Data",
"meta": true,
"type": "java.lang.String"
},
{
"name": "pe",
"column": "Period",
"meta": true,
"type": "java.lang.String"
},
{
"name": "value",
"column": "Value",
"meta": false,
"type": "java.lang.Double"
}
],
"height": 4,
"metaData": {
"pe": ["2016Q1", "2016Q2"],
"ou": ["ImspTQPwCqd"],
"names": {
"2016Q1": "Jan to Mar 2016",
"2016Q2": "Apr to Jun 2016",
"FbKK4ofIv5R": "Measles Coverage <1 y",
"ImspTQPwCqd": "Sierra Leone",
"eTDtyyaSA7f": "Fully Immunized Coverage"
}
},
"rows": [
["eTDtyyaSA7f", "2016Q2", "81.1"],
["eTDtyyaSA7f", "2016Q1", "74.7"],
["FbKK4ofIv5R", "2016Q2", "88.9"],
["FbKK4ofIv5R", "2016Q1", "84.0"]
],
"width": 3
}
The response represents a table of dimensional data. The headers array gives an overview of which columns are included in the table and what the columns contain. The column property shows the column dimension identifier, or if the column contains measures, the word "Value". The meta property is true if the column contains dimension items or false if the column contains a measure (aggregated data values). The name property is similar to the column property, except it displays "value" in case the column contains a measure. The type property indicates the Java class type of column values.
The height and width properties indicate how many data columns and rows are contained in the response, respectively.
The metaData periods property contains a unique, ordered array of the periods included in the response. The metaData ou property contains an array of the identifiers of organisation units included in the response. The metaData names property contains a mapping between the identifiers used in the data response and the names of the objects they represent. It can be used by clients to substitute the identifiers within the data response with names in order to give a more meaningful view of the data table.
The rows array contains the dimensional data table. It contains columns with dimension items (object or period identifiers) and a column with aggregated data values. The example response above has a data/indicator column, a period column and a value column. The first column contains indicator identifiers, the second contains ISO period identifiers and the third contains aggregated data values.
There are several constraints to the input parameters you can provide to the analytics resource. If any of the constraints are violated, the API will return a 409 Conflict response and a response message looking similar to this:
{
"httpStatus": "Conflict",
"httpStatusCode": 409,
"status": "ERROR",
"message": "Only a single indicator can be specified as filter",
"errorCode": "E7108"
}
The httpStatus and httpStatusCode fields indicate the HTTP status and status code per the HTTP specification. The messsage field provides a human-readable description of the validation error. The errorCode field provides a machine-readable code which can be used by clients to handle validation errors. The possible validation errors for the aggregate analytics API are described in the table below.
| Error code | Message |
|---|---|
| E7100 | Query parameters cannot be null |
| E7101 | At least one dimension must be specified |
| E7102 | At least one data dimension item or data element group set dimension item must be specified |
| E7103 | Dimensions cannot be specified as dimension and filter simultaneously |
| E7104 | At least one period as dimension or filter, or start and dates, must be specified |
| E7105 | Periods and start and end dates cannot be specified simultaneously |
| E7106 | Start date cannot be after end date |
| E7107 | Start and end dates cannot be specified for reporting rates |
| E7108 | Only a single indicator can be specified as filter |
| E7109 | Only a single reporting rate can be specified as filter |
| E7110 | Category option combos cannot be specified as filter |
| E7111 | Dimensions cannot be specified more than once |
| E7112 | Reporting rates can only be specified together with dimensions of type |
| E7113 | Assigned categories cannot be specified when data elements are not specified |
| E7114 | Assigned categories can only be specified together with data elements, not indicators or reporting rates |
| E7115 | Data elements must be of a value and aggregation type that allow aggregation |
| E7116 | Indicator expressions cannot contain cyclic references |
| E7117 | A data dimension 'dx' must be specified when output format is DATA_VALUE_SET |
| E7118 | A period dimension 'pe' must be specified when output format is DATA_VALUE_SET |
| E7119 | An organisation unit dimension 'ou' must be specified when output format is DATA_VALUE_SET |
| E7120 | User is not allowed to view org unit |
| E7121 | User is not allowed to read data for object |
| E7122 | Data approval level does not exist |
| E7123 | Current user is constrained by a dimension but has access to no dimension items |
| E7124 | Dimension is present in query without any valid dimension options |
| E7125 | Dimension identifier does not reference any dimension |
| E7126 | Column must be present as dimension in query |
| E7127 | Row must be present as dimension in query |
| E7128 | Query result set exceeded max limit |
| E7129 | Program is specified but does not exist |
| E7130 | Program stage is specified but does not exist |
| E7131 | Query failed, likely because the query timed out |
The analytics dataValueSet resource allows for returning aggregated data in the data value set format. This format represents raw data values, as opposed to data which has been aggregated along various dimensions. Exporting aggregated data as regular data values is useful for data exchange between systems when the target system contains data of finer granularity compared to what the destination system is storing.
As an example, one can specify an indicator in the target system to summarize data for multiple data elements and import this data for a single data element in the destination system. As another example, one can aggregate data collected at organisation unit level 4 in the target system to level 2 and import that data in the destination system.
You can retrieve data in the raw data value set format from the dataValueSet resource:
/api/33/analytics/dataValueSet
The following resource representations are supported:
json (application/json)
xml (application/xml)
When using the data value set format, exactly three dimensions must be specified as analytics dimensions with at least one dimension item each:
Data (dx)
Period (pe)
Organisation unit (ou)
Any other dimension will be ignored. Filters will be applied as with regular analytics requests. Note that any data dimension type can be specified, including indicators, data elements, data element operands, data sets and program indicators.
An example request which aggregates data for specific indicators, periods and organisation units and returns it as regular data values in XML looks like this:
api/analytics/dataValueSet.xml?dimension=dx:Uvn6LCg7dVU;OdiHJayrsKo
&dimension=pe:LAST_4_QUARTERS&dimension=ou:lc3eMKXaEfw;PMa2VCrupOd
A request which aggregates data for data element operands and uses CODE as output identifier scheme looks like the below. When defining the output identifier scheme, all metadata objects part of the response are affected:
api/analytics/dataValueSet.json?dimension=dx:fbfJHSPpUQD.pq2XI5kz2BY;fbfJHSPpUQD.PT59n8BQbqM
&dimension=pe:LAST_12_MONTHS&dimension=ou:ImspTQPwCqd&outputIdScheme=CODE
When using attribute-based identifier schemes for export there is a risk of producing duplicate data values. The boolean query parameter duplicatesOnly can be used for debugging purposes to return only duplicates data values. This response can be used to clean up the duplicates:
api/analytics/dataValueSet.xml?dimension=dx:Uvn6LCg7dVU;OdiHJayrsKo
&dimension=pe:LAST_4_QUARTERS&dimension=ou:lc3eMKXaEfw&duplicatesOnly=true
The analytics rawData resource allows for returning the data stored in the analytics data tables without any aggregation being performed. This is useful for clients which would like to perform aggregation and filtering on their own without having to denormalize data in the available data dimensions themselves.
/api/analytics/rawData
The following resource representations are supported:
json (application/json)
csv (application/csv)
This resource follows the syntax of the regular analytics resource. Only a subset of the query parameters are supported. Additionally, a startDate and endDate parameter are available. The supported parameters are listed in the table below.
| Query parameter | Required / Notes |
|---|---|
| dimension | Yes |
| startDate | No / yyyy-MM-dd |
| endDate | No / yyyy-MM-dd |
| skipMeta | No |
| skipData | No |
| hierarchyMeta | No |
| showHierarchy | No |
| displayProperty | No |
| outputIdScheme | No |
| outputOrgUnitIdScheme | No |
| outputDataElementIdScheme | No |
| inputIdScheme | No |
| userOrgUnit | No |
The dimension query parameter defines which dimensions (table columns) should be included in the response. It can optionally be constrained with items. The filter query parameter defines which items and dimensions (table columns) should be used as a filter for the response.
For the organisation unit dimension, the response will contain data associated with the organisation unit and all organisation units in the sub-hierarchy (children in the tree). This is different compared to the regular analytics resource, where only the explicitly selected organisation units are included.
To retrieve a response with specific data elements, specific periods, specific organisation units and all data for two custom dimensions you can issue a request like this:
/api/analytics/rawData.json?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU;Jtf34kNZhzP
&dimension=J5jldMd8OHv&dimension=Bpx0589u8y0
&dimension=pe:LAST_12_MONTHS
&dimension=ou:O6uvpzGd5pu;fdc6uOvgoji
The startDate and endDate parameters allow for fetching data linked to any period between those dates. This avoids the need for defining all periods explicitly in the request:
/api/analytics/rawData.json?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU;Jtf34kNZhzP
&dimension=J5jldMd8OHv&dimension=Bpx0589u8y0
&startDate=2015-01-01&endDate=2015-12-31
&dimension=ou:O6uvpzGd5pu;fdc6uOvgoji
The filter parameter can be used to filter a response without including that dimension as part of the response, this time in CSV format:
/api/analytics/rawData.csv?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU;Jtf34kNZhzP
&filter=J5jldMd8OHv:uYxK4wmcPqA;tDZVQ1WtwpA
&startDate=2015-01-01&endDate=2015-12-31
&dimension=ou:O6uvpzGd5pu
The outputIdScheme parameter is useful if you want human readable data responses as it can be set to NAME like this:
/api/analytics/rawData.csv?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&filter=J5jldMd8OHv:uYxK4wmcPqA;tDZVQ1WtwpA
&startDate=2017-01-01&endDate=2017-12-31
&dimension=ou:O6uvpzGd5pu
&outputIdScheme=NAME
The response from the rawData resource will look identical to the regular analytics resource; the difference is that the response contains raw, non-aggregated data, suitable for further aggregation by third-party systems.
When debugging analytics requests it can be useful to examine the data value source of the aggregated analytics response. The analytics/debug/sql resource will provide an SQL statement that returns the relevant content of the datavalue table. You can produce this SQL by doing a GET request with content type "text/html" or "text/plain" like below. The dimension and filter syntax are identical to regular analytics queries:
/api/analytics/debug/sql?dimension=dx:fbfJHSPpUQD;cYeuwXTCPkU
&filter=pe:2016Q1;2016Q2&filter=ou:O6uvpzGd5pu
The event analytics API lets you access aggregated event data and query events captured in DHIS2. This resource lets you retrieve events based on a program and optionally a program stage, and lets you retrieve and filter events on any event dimensions.
/api/33/analytics/events
Event dimensions include data elements, attributes, organisation units and periods. The aggregated event analytics resource will return aggregated information such as counts or averages. The query analytics resource will simply return events matching a set of criteria and does not perform any aggregation. You can specify dimension items in the form of options from option sets and legends from legend sets for data elements and attributes which are associated with such. The event dimensions are listed in the table below.
| Dimension | Dimension id | Description |
|---|---|---|
| Data elements | <id> | Data element identifiers |
| Attributes | <id> | Attribute identifiers |
| Periods | pe | ISO periods and relative periods, see "date and period format" |
| Organisation units | ou | Organisation unit identifiers and keywords USER_ORGUNIT, USER_ORGUNIT_CHILDREN, USER_ORGUNIT_GRANDCHILDREN, LEVEL-<level> and OU_GROUP-<group-id> |
| Organisation unit group sets | <org unit group set id> | Organisation unit group set identifiers |
| Categories | <category id> | Category identifiers (program attribute categories only) |
The analytics event API lets you specify a range of query parameters.
| Query parameter | Required | Description | Options (default first) |
|---|---|---|---|
| program | Yes | Program identifier. | Any program identifier |
| stage | No | Program stage identifier. | Any program stage identifier |
| startDate | Yes | Start date for events. | Date in yyyy-MM-dd format |
| endDate | Yes | End date for events. | Date in yyyy-MM-dd format |
| dimension | Yes | Dimension identifier including data elements, attributes, program indicators, periods, organisation units and organisation unit group sets. Parameter can be repeated any number of times. Item filters can be applied to a dimension on the format <item-id>:<operator>:<filter>. Filter values are case-insensitive. | Operators can be EQ | GT | GE | LT | LE | NE | LIKE | IN |
| filter | No | Dimension identifier including data elements, attributes, periods, organisation units and organisation unit group sets. Parameter can be repeated any number of times. Item filters can be applied to a dimension on the format <item-id>:<operator>:<filter>. Filter values are case-insensitive. | |
| hierarchyMeta | No | Include names of organisation unit ancestors and hierarchy paths of organisation units in the metadata. | false | true |
| eventStatus | No | Specify status of events to include. | ACTIVE | COMPLETED | SCHEDULE | OVERDUE | SKIPPED |
| programStatus | No | Specify enrollment status of events to include. | ACTIVE | COMPLETED | CANCELLED |
| relativePeriodDate | string | No | Date identifier e.g: "2016-01-01". Overrides the start date of the relative period |
| columns | No | Dimensions to use as columns for table layout. | Any dimension (must be query dimension) |
| rows | No | Dimensions to use as rows for table layout. | Any dimension (must be query dimension) |
| Query parameter | Required | Description | Options |
|---|---|---|---|
| ouMode | No | The mode of selecting organisation units. Default is DESCENDANTS, meaning all sub units in the hierarchy. CHILDREN refers to immediate children in the hierarchy; SELECTED refers to the selected organisation units only. | DESCENDANTS, CHILDREN, SELECTED |
| asc | No | Dimensions to be sorted ascending, can reference event date, org unit name and code and any item identifiers. | EVENTDATE | OUNAME | OUCODE | item identifier |
| desc | No | Dimensions to be sorted descending, can reference event date, org unit name and code and any item identifiers. | EVENTDATE | OUNAME | OUCODE | item identifier |
| coordinatesOnly | No | Whether to only return events which have coordinates. | false | true |
| dataIdScheme | No | Id scheme to be used for data, more specifically data elements and attributes which have an option set or legend set, e.g. return the name of the option instead of the code, or the name of the legend instead of the legend ID, in the data response. | NAME | CODE | UID |
| page | No | The page number. Default page is 1. | Numeric positive value |
| pageSize | No | The page size. Default size is 50 items per page. | Numeric zero or positive value |
| Query parameter | Required | Description | Options |
|---|---|---|---|
| value | No | Value dimension identifier. Can be a data element or an attribute which must be of numeric value type. | Data element or attribute identifier |
| aggregationType | No | Aggregation type for the value dimension. Default is AVERAGE. | SUM | AVERAGE | AVERAGE_SUM_ORG_UNIT | LAST | LAST_AVERAGE_ORG_UNIT | COUNT | STDDEV | VARIANCE | MIN | MAX |
| showHierarchy | No | Display full org unit hierarchy path together with org unit name. | false | true |
| displayProperty | No | Property to display for metadata. | NAME | SHORTNAME |
| sortOrder | No | Sort the records on the value column in ascending or descending order. | ASC | DESC |
| limit | No | The maximum number of records to return. Cannot be larger than 10 000. | Numeric positive value |
| outputType | No | Specify output type for analytical data which can be events, enrollments or tracked entity instances. The two last options apply to programs with registration only. | EVENT | ENROLLMENT | TRACKED_ENTITY_INSTANCE |
| collapseDataDimensions | No | Collapse all data dimensions (data elements and attributes) into a single dimension in the response. | false | true |
| skipMeta | No | Exclude the meta data part of the response (improves performance). | false | true |
| skipData | No | Exclude the data part of the response. | false | true |
| skipRounding | No | Skip rounding of aggregate data values. | false | true |
| aggregateData | No | Produce aggregate values for the data dimensions (as opposed to dimension items). | false | true |
| timeField | No | The time field to base event aggregation on. Applies to event data items only. Can be a predefined option or the ID of an attribute or data element having a time-based value type. | EVENT_DATE | ENROLLMENT_DATE | INCIDENT_DATE | DUE_DATE | COMPLETED_DATE | <Attribute ID> | <Data element ID> |
| orgUnitField | No | The organisation unit field to base event aggregation on. Applies to event data items only. Can be the ID of an attribute or data element with the Organisation unit value type. The default option is specified as omitting the query parameter. | <Attribute ID> | <Data element ID> |
| Query parameter | Required | Description | Options |
|---|---|---|---|
| clusterSize | Yes | Size of clusters in meters. | Numeric positive value |
| coordinateField | No | Field to base geospatial event analytics on. Default is event. Can be set to identifiers of attributes and data elements of value type coordinate. | EVENT | <attribute-id> | <dataelement-id> |
| bbox | Yes | Bounding box / area of events to include in the response on the format "min longitude, min latitude, max longitude , max latitude". | String |
| includeClusterPoints | No | Include information about underlying points for each cluster, be careful if cluster represent a very high number of points. | false | true |
The analytics/events/query resource lets you query for captured events. This resource does not perform any aggregation, rather it lets you query and filter for information about events.
/api/33/analytics/events/query
You can specify any number of dimensions and any number of filters in a query. Dimension item identifiers can refer to any of data elements, person attributes, person identifiers, fixed and relative periods and organisation units. Dimensions can optionally have a query operator and a filter. Event queries should be on the format described below.
/api/33/analytics/events/query/<program-id>?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd
&dimension=ou:<ou-id>;<ou-id>&dimension=<item-id>&dimension=<item-id>:<operator>:<filter>
For example, to retrieve events from the "Inpatient morbidity and mortality" program between January and October 2016, where the "Gender" and "Age" data elements are included and the "Age" dimension is filtered on "18", you can use the following query:
/api/33/analytics/events/query/eBAyeGv0exc?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:O6uvpzGd5pu;fdc6uOvgoji&dimension=oZg33kd9taw&dimension=qrur9Dvnyt5:EQ:18
To retrieve events for the "Birth" program stage of the "Child programme" program between March and December 2016, where the "Weight" data element, filtered for values larger than 2000:
/api/33/analytics/events/query/IpHINAT79UW?stage=A03MvHHogjR&startDate=2016-03-01
&endDate=2016-12-31&dimension=ou:O6uvpzGd5pu&dimension=UXz7xuGCEhU:GT:2000
Sorting can be applied to the query for the event date of the event and any dimensions. To sort descending on the event date and ascending on the "Age" data element dimension you can use:
/api/33/analytics/events/query/eBAyeGv0exc?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:O6uvpzGd5pu&dimension=qrur9Dvnyt5&desc=EVENTDATE&asc=qrur9Dvnyt5
Paging can be applied to the query by specifying the page number and the page size parameters. If page number is specified but page size is not, a page size of 50 will be used. If page size is specified but page number is not, a page number of 1 will be used. To get the third page of the response with a page size of 20 you can use a query like this:
/api/33/analytics/events/query/eBAyeGv0exc?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:O6uvpzGd5pu&dimension=qrur9Dvnyt5&page=3&pageSize=20
Filters can be applied to data elements, person attributes and person identifiers. The filtering is done through the query parameter value on the following format:
&dimension=<item-id>:<operator>:<filter-value>
As an example, you can filter the "Weight" data element for values greater than 2000 and lower than 4000 like this:
&dimension=UXz7xuGCEhU:GT:2000&dimension=UXz7xuGCEhU:LT:4000
You can filter the "Age" data element for multiple, specific ages using the IN operator like this:
&dimension=qrur9Dvnyt5:IN:18;19;20
You can specify multiple filters for a given item by repeating the operator and filter components, all separated with semi-colons:
&dimension=qrur9Dvnyt5:GT:5:LT:15
The available operators are listed below.
| Operator | Description |
|---|---|
| EQ | Equal to |
| GT | Greater than |
| GE | Greater than or equal to |
| LT | Less than |
| LE | Less than or equal to |
| NE | Not equal to |
| LIKE | Like (free text match) |
| IN | Equal to one of multiple values separated by ";" |
The default response representation format is JSON. The requests must be using the HTTP GET method. The following response formats are supported.
json (application/json)
jsonp (application/javascript)
xls (application/vnd.ms-excel)
As an example, to get a response in Excel format you can use a file extension in the request URL like this:
/api/33/analytics/events/query/eBAyeGv0exc.xls?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:O6uvpzGd5pu&dimension=oZg33kd9taw&dimension=qrur9Dvnyt5
You can set the hierarchyMeta query parameter to true in order to include names of all ancestor organisation units in the meta-section of the response:
/api/33/analytics/events/query/eBAyeGv0exc?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:YuQRtpLP10I&dimension=qrur9Dvnyt5:EQ:50&hierarchyMeta=true
The default response JSON format will look similar to this:
{
"headers": [
{
"name": "psi",
"column": "Event",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "ps",
"column": "Program stage",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "eventdate",
"column": "Event date",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "coordinates",
"column": "Coordinates",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "ouname",
"column": "Organisation unit name",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "oucode",
"column": "Organisation unit code",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "ou",
"column": "Organisation unit",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "oZg33kd9taw",
"column": "Gender",
"type": "java.lang.String",
"hidden": false,
"meta": false
},
{
"name": "qrur9Dvnyt5",
"column": "Age",
"type": "java.lang.String",
"hidden": false,
"meta": false
}
],
"metaData": {
"names": {
"qrur9Dvnyt5": "Age",
"eBAyeGv0exc": "Inpatient morbidity and mortality",
"ImspTQPwCqd": "Sierra Leone",
"O6uvpzGd5pu": "Bo",
"YuQRtpLP10I": "Badjia",
"oZg33kd9taw": "Gender"
},
"ouHierarchy": {
"YuQRtpLP10I": "/ImspTQPwCqd/O6uvpzGd5pu"
}
},
"width": 8,
"height": 4,
"rows": [
[
"yx9IDINf82o",
"Zj7UnCAulEk",
"2016-08-05",
"[5.12, 1.23]",
"Ngelehun",
"OU_559",
"YuQRtpLP10I",
"Female",
"50"
],
[
"IPNa7AsCyFt",
"Zj7UnCAulEk",
"2016-06-12",
"[5.22, 1.43]",
"Ngelehun",
"OU_559",
"YuQRtpLP10I",
"Female",
"50"
],
[
"ZY9JL9dkhD2",
"Zj7UnCAulEk",
"2016-06-15",
"[5.42, 1.33]",
"Ngelehun",
"OU_559",
"YuQRtpLP10I",
"Female",
"50"
],
[
"MYvh4WAUdWt",
"Zj7UnCAulEk",
"2016-06-16",
"[5.32, 1.53]",
"Ngelehun",
"OU_559",
"YuQRtpLP10I",
"Female",
"50"
]
]
}
The headers section of the response describes the content of the query result. The event unique identifier, the program stage identifier, the event date, the organisation unit name, the organisation unit code and the organisation unit identifier appear as the first six dimensions in the response and will always be present. Next comes the data elements, person attributes and person identifiers which were specified as dimensions in the request, in this case, the "Gender" and "Age" data element dimensions. The header section contains the identifier of the dimension item in the "name" property and a readable dimension description in the "column" property.
The metaData section, ou object contains the identifiers of all organisation units present in the response mapped to a string representing the hierarchy. This hierarchy string lists the identifiers of the ancestors (parents) of the organisation unit starting from the root. The names object contains the identifiers of all items in the response mapped to their names.
The rows section contains the events produced by the query. Each row represents exactly one event.
In order to have the event analytics resource generate the data in the shape of a ready-made table, you can provide rows and columns parameters with requested dimension identifiers separated by semi-colons as values to indicate which ones to use as table columns and rows. Instead of generating a plain, normalized data source, the event analytics resource will now generate the data in table layout. The column and rows dimensions must be present as a data dimension in the query (not a filter). Such a request can look like this:
/api/33/analytics.html+css?dimension=dx:cYeuwXTCPkU;fbfJHSPpUQD&dimension=pe:WEEKS_THIS_YEAR
&filter=ou:ImspTQPwCqd&displayProperty=SHORTNAME&columns=dx&rows=pe
The /analytics/events/aggregate resource lets you retrieve aggregated numbers of events captured in DHIS2. This resource lets you retrieve aggregate data based on a program and optionally a program stage, and lets you filter on any event dimension.
/api/33/analytics/events/aggregate
The events aggregate resource does not return the event information itself, rather the aggregate numbers of events matching the request query. Event dimensions include data elements, person attributes, person identifiers, periods and organisation units. Aggregate event queries should be on the format described below.
/api/33/analytics/events/aggregate/<program-id>?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd
&dimension=ou:<ou-id>;<ou-id>&dimension=<item-id>&dimension=<item-id>:<operator>:<filter>
For example, to retrieve aggregate numbers for events from the "Inpatient morbidity and mortality" program between January and October 2016, where the "Gender" and "Age" data elements are included, the "Age" dimension item is filtered on "18" and the "Gender" item is filtered on "Female", you can use the following query:
/api/33/analytics/events/aggregate/eBAyeGv0exc?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:O6uvpzGd5pu&dimension=oZg33kd9taw:EQ:Female&dimension=qrur9Dvnyt5:GT:50
To retrieve data for fixed and relative periods instead of start and end date, in this case, May 2016 and last 12 months, and the organisation unit associated with the current user, you can use the following query:
/api/33/analytics/events/aggregate/eBAyeGv0exc?dimension=pe:201605;LAST_12_MONTHS
&dimension=ou:USER_ORGUNIT;fdc6uOvgo7ji&dimension=oZg33kd9taw
In order to specify "Female" as a filter for "Gender" for the data response, meaning "Gender" will not be part of the response but will filter the aggregate numbers in it, you can use the following syntax:
/api/33/analytics/events/aggregate/eBAyeGv0exc?dimension=pe:2016;
&dimension=ou:O6uvpzGd5pu&filter=oZg33kd9taw:EQ:Female
To specify the "Bo" organisation unit and the period "2016" as filters, and the "Mode of discharge" and Gender" as dimensions, where "Gender" is filtered on the "Male" item, you can use a query like this:
/api/33/analytics/events/aggregate/eBAyeGv0exc?filter=pe:2016&filter=ou:O6uvpzGd5pu
&dimension=fWIAEtYVEGk&dimension=oZg33kd9taw:EQ:Male
To create a "Top 3 report" for Mode of discharge you can use the limit and sortOrder query parameters similar to this:
/api/33/analytics/events/aggregate/eBAyeGv0exc?filter=pe:2016&filter=ou:O6uvpzGd5pu
&dimension=fWIAEtYVEGk&limit=3&sortOrder=DESC
To specify a value dimension with a corresponding aggregation type you can use the value and aggregationType query parameters. Specifying a value dimension will make the analytics engine return aggregate values for the values of that dimension in the response as opposed to counts of events.
/api/33/analytics/events/aggregate/eBAyeGv0exc.json?stage=Zj7UnCAulEk
&dimension=ou:ImspTQPwCqd&dimension=pe:LAST_12_MONTHS&dimension=fWIAEtYVEGk
&value=qrur9Dvnyt5&aggregationType=AVERAGE
To base event analytics aggregation on a specific data element or attribute of value type date or date time you can use the timeField parameter:
/api/33/analytics/events/aggregate/IpHINAT79UW.json?dimension=ou:ImspTQPwCqd
&dimension=pe:LAST_12_MONTHS&dimension=cejWyOfXge6&stage=A03MvHHogjR
&timeField=ENROLLMENT_DATE
To base event analytics aggregation on a specific data element or attribute of value type organisation unit you can use the orgUnitField parameter:
/api/33/analytics/events/aggregate/eBAyeGv0exc.json?dimension=ou:ImspTQPwCqd
&dimension=pe:THIS_YEAR&dimension=oZg33kd9taw&stage=Zj7UnCAulEk
&orgUnitField=S33cRBsnXPo
For aggregate queries, you can specify a range / legend set for numeric data element and attribute dimensions. The purpose is to group the numeric values into ranges. As an example, instead of generating data for an "Age" data element for distinct years, you can group the information into age groups. To achieve this, the data element or attribute must be associated with the legend set. The format is described below:
?dimension=<item-id>-<legend-set-id>
An example looks like this:
/api/33/analytics/events/aggregate/eBAyeGv0exc.json?stage=Zj7UnCAulEk
&dimension=qrur9Dvnyt5-Yf6UHoPkdS6&dimension=ou:ImspTQPwCqd&dimension=pe:LAST_MONTH
The default response representation format is JSON. The requests must be using the HTTP GET method. The response will look similar to this:
{
"headers": [
{
"name": "oZg33kd9taw",
"column": "Gender",
"type": "java.lang.String",
"meta": false
},
{
"name": "qrur9Dvnyt5",
"column": "Age",
"type": "java.lang.String",
"meta": false
},
{
"name": "pe",
"column": "Period",
"type": "java.lang.String",
"meta": false
},
{
"name": "ou",
"column": "Organisation unit",
"type": "java.lang.String",
"meta": false
},
{
"name": "value",
"column": "Value",
"type": "java.lang.String",
"meta": false
}
],
"metaData": {
"names": {
"eBAyeGv0exc": "Inpatient morbidity and mortality"
}
},
"width": 5,
"height": 39,
"rows": [
["Female", "95", "201605", "O6uvpzGd5pu", "2"],
["Female", "63", "201605", "O6uvpzGd5pu", "2"],
["Female", "67", "201605", "O6uvpzGd5pu", "1"],
["Female", "71", "201605", "O6uvpzGd5pu", "1"],
["Female", "75", "201605", "O6uvpzGd5pu", "14"],
["Female", "73", "201605", "O6uvpzGd5pu", "5"]
]
}
Note that the max limit for rows to return in a single response is 10 000. If the query produces more than the max limit, a 409 Conflict status code will be returned.
The analytics/events/cluster resource provides clustered geospatial event data. A request looks like this:
/api/33/analytics/events/cluster/eBAyeGv0exc?startDate=2016-01-01&endDate=2016-10-31
&dimension=ou:LEVEL-2&clusterSize=100000
&bbox=-13.2682125,7.3721619,-10.4261178,9.904012&includeClusterPoints=false
The cluster response provides the count of underlying points, the center point and extent of each cluster. If the includeClusterPoints query parameter is set to true, a comma-separated string with the identifiers of the underlying events is included. A sample response looks like this:
{
"headers": [
{
"name": "count",
"column": "Count",
"type": "java.lang.Long",
"meta": false
},
{
"name": "center",
"column": "Center",
"type": "java.lang.String",
"meta": false
},
{
"name": "extent",
"column": "Extent",
"type": "java.lang.String",
"meta": false
},
{
"name": "points",
"column": "Points",
"type": "java.lang.String",
"meta": false
}
],
"width": 3,
"height": 4,
"rows": [
[
"3",
"POINT(-13.15818 8.47567)",
"BOX(-13.26821 8.4St7215,-13.08711 8.47807)",
""
],
[
"9",
"POINT(-13.11184 8.66424)",
"BOX(-13.24982 8.51961,-13.05816 8.87696)",
""
],
[
"1",
"POINT(-12.46144 7.50597)",
"BOX(-12.46144 7.50597,-12.46144 7.50597)",
""
],
[
"7",
"POINT(-12.47964 8.21533)",
"BOX(-12.91769 7.66775,-12.21011 8.49713)",
""
]
]
}
The analytics/events/count resource is suitable for geometry-related requests for retrieving the count and extent (bounding box) of events for a specific query. The query syntax is equal to the events/query resource. A request looks like this:
/api/33/analytics/events/count/eBAyeGv0exc?startDate=2016-01-01
&endDate=2016-10-31&dimension=ou:O6uvpzGd5pu
The response will provide the count and extent in JSON format:
{
"extent": "BOX(-13.2682125910096 7.38679562779441,-10.4261178860988 9.90401290212795)",
"count": 59
}
There are several constraints to the input parameters you can provide to the event analytics resource. If any of the constraints are violated, the API will return a 409 Conflict response and a response message looking similar to this:
{
"httpStatus": "Conflict",
"httpStatusCode": 409,
"status": "ERROR",
"message": "At least one organisation unit must be specified",
"errorCode": "E7200"
}
The possible validation errors for the event analytics API are described in the table below.
| Error code | Message |
|---|---|
| E7200 | At least one organisation unit must be specified |
| E7201 | Dimensions cannot be specified more than once |
| E7202 | Query items cannot be specified more than once |
| E7203 | Value dimension cannot also be specified as an item or item filter |
| E7204 | Value dimension or aggregate data must be specified when aggregation type is specified |
| E7205 | Start and end date or at least one period must be specified |
| E7206 | Start date is after end date |
| E7207 | Page number must be a positive number |
| E7208 | Page size must be zero or a positive number |
| E7209 | Limit is larger than max limit |
| E7210 | Time field is invalid |
| E7211 | Org unit field is invalid |
| E7212 | Cluster size must be a positive number |
| E7213 | Bbox is invalid, must be on format: 'min-lng,min-lat,max-lng,max-lat' |
| E7214 | Cluster field must be specified when bbox or cluster size are specified |
| E7215 | Query item cannot specify both legend set and option set |
| E7216 | Query item must be aggregateable when used in aggregate query |
| E7217 | User is not allowed to view event analytics data |
| E7218 | Spatial database support is not enabled |
| E7219 | Data element must be of value type coordinate in order to be used as coordinate field |
| E7220 | Attribute must be of value type coordinate to in order to be used as coordinate field |
| E7221 | Coordinate field is invalid |
| E7222 | Query item or filter is invalid |
| E7223 | Value does not refer to a data element or attribute which are numeric and part of the program |
| E7224 | Item identifier does not reference any data element, attribute or indicator part of the program |
| E7225 | Program stage is mandatory for data element dimensions in enrollment analytics queries |
| E7226 | Dimension is not a valid query item |
| E7227 | Relationship entity type not supported |
The enrollment analytics API lets you access aggregated event data and query enrollments with their event data captured in DHIS2. This resource lets you retrieve data for a program based on program stages and data elements - in addition to tracked entity attributes. When querying event data for a specific programstages within each enrollment, the data element values for each program stage will be returned as one row in the response from the api. If querying a data element in a program stage that is repeatable, the newest data element value will be used for that data element in the api response.
Enrollment dimensions include data elements, attributes, organisation units and periods. The query analytics resource will simply return enrollments matching a set of criteria and does not perform any aggregation.
| Dimension | Dimension id | Description |
|---|---|---|
| Data elements in program stages | <program stage id>.<data element id> | Data element identifiers must include the program stage when querying data for enrollments. dimension=edqlbukwRfQ.vANAXwtLwcT |
| Attributes | <id> | Attribute identifiers |
| Periods | pe | ISO periods and relative periods, see "date and period format" |
| Organisation units | ou | Organisation unit identifiers and keywords USER_ORGUNIT, USER_ORGUNIT_CHILDREN, USER_ORGUNIT_GRANDCHILDREN, LEVEL-<level> and OU_GROUP-<group-id> |
The analytics/enrollments/query resource lets you query for captured enrollments. This resource does not perform any aggregation, rather it lets you query and filter for information about enrollments.
/api/33/analytics/enrollments/query
You can specify any number of dimensions and any number of filters in a query. Dimension item identifiers can refer to any of the data elements in program stages, tracked entity attributes, fixed and relative periods and organisation units. Dimensions can optionally have a query operator and a filter. Enrollment queries should be on the format described below.
/api/33/analytics/enrollments/query/<program-id>?startDate=yyyy-MM-dd&endDate=yyyy-MM-dd
&dimension=ou:<ou-id>;<ou-id>&dimension=<item-id>&dimension=<item-id>:<operator>:<filter>
For example, to retrieve enrollments in the from the "Antenatal care" program from January 2019, where the "First name" is picked up from attributes, "Chronic conditions" and "Smoking" data elements are included from the first program stage, and "Hemoglobin value" from the following program stage, and only women that have "Cronic conditions" would be included, you can use the following query:
/api/33/analytics/enrollments/query/WSGAb5XwJ3Y.json?dimension=ou:ImspTQPwCqd
&dimension=w75KJ2mc4zz&dimension=WZbXY0S00lP.de0FEHSIoxh:eq:1&dimension=w75KJ2mc4zz
&dimension=WZbXY0S00lP.sWoqcoByYmD&dimension=edqlbukwRfQ.vANAXwtLwcT
&startDate=2019-01-01&endDate=2019-01-31
To retrieve enrollments in the from the "Antenatal care" program from last month (relative to the point in time the query is executed), where the "Chronic conditions" and "Smoking" data elements are included from the first program stage, and "Hemoglobin value" from the followup program stage, only including smoking women with hemoglobin less than 20:
/api/33/analytics/enrollments/query/WSGAb5XwJ3Y.json?dimension=ou:ImspTQPwCqd
&dimension=WZbXY0S00lP.de0FEHSIoxh&dimension=w75KJ2mc4zz
&dimension=WZbXY0S00lP.sWoqcoByYmD:eq:1&dimension=edqlbukwRfQ.vANAXwtLwcT:lt:20
&dimension=pe:LAST_MONTH
Sorting can be applied to the query for the enrollment and incident dates of the enrollment:
/api/33/analytics/enrollments/query/WSGAb5XwJ3Y.xls?dimension=ou:ImspTQPwCqd
&columns=w75KJ2mc4zz&dimension=WZbXY0S00lP.sWoqcoByYmD&dimension=pe:LAST_MONTH
&stage=WZbXY0S00lP&pageSize=10&page=1&asc=ENROLLMENTDATE&ouMode=DESCENDANTS
Paging can be applied to the query by specifying the page number and the page size parameters. If page number is specified but page size is not, a page size of 50 will be used. If page size is specified but page number is not, a page number of 1 will be used. To get the second page of the response with a page size of 10 you can use a query like this:
/api/33/analytics/enrollments/query/WSGAb5XwJ3Y.json?dimension=ou:ImspTQPwCqd
&dimension=WZbXY0S00lP.de0FEHSIoxh&dimension=w75KJ2mc4zz&dimension=pe:LAST_MONTH
&dimension=WZbXY0S00lP.sWoqcoByYmD&pageSize=10&page=2
Filters can be applied to data elements, person attributes and person identifiers. The filtering is done through the query parameter value on the following format:
&dimension=<item-id>:<operator>:<filter-value>
As an example, you can filter the "Weight" data element for values greater than 2000 and lower than 4000 like this:
&dimension=WZbXY0S00lP.UXz7xuGCEhU:GT:2000&dimension=WZbXY0S00lP.UXz7xuGCEhU:LT:4000
You can filter the "Age" attribute for multiple, specific ages using the IN operator like this:
&dimension=qrur9Dvnyt5:IN:18;19;20
You can specify multiple filters for a given item by repeating the operator and filter components, all separated with semi-colons:
&dimension=qrur9Dvnyt5:GT:5:LT:15
The available operators are listed below.
| Operator | Description |
|---|---|
| EQ | Equal to |
| GT | Greater than |
| GE | Greater than or equal to |
| LT | Less than |
| LE | Less than or equal to |
| NE | Not equal to |
| LIKE | Like (free text match) |
| IN | Equal to one of multiple values separated by ";" |
The analytics enrollment query API lets you specify a range of query parameters.
| Query parameter | Required | Description | Options (default first) |
|---|---|---|---|
| program | Yes | Program identifier. | Any program identifier |
| startDate | No | Start date for enrollments. | Date in yyyy-MM-dd format |
| endDate | No | End date for enrollments. | Date in yyyy-MM-dd format |
| dimension | Yes | Dimension identifier including data elements, attributes, program indicators, periods, organisation units and organisation unit group sets. Parameter can be repeated any number of times. Item filters can be applied to a dimension on the format <item-id>:<operator>:<filter>. Filter values are case-insensitive. | Operators can be EQ | GT | GE | LT | LE | NE | LIKE | IN |
| filter | No | Dimension identifier including data elements, attributes, periods, organisation units and organisation unit group sets. Parameter can be repeated any number of times. Item filters can be applied to a dimension on the format <item-id>:<operator>:<filter>. Filter values are case-insensitive. | |
| programStatus | No | Specify enrollment status of enrollments to include. | ACTIVE | COMPLETED | CANCELLED |
| relativePeriodDate | string | No | Date identifier e.g: "2016-01-01". Overrides the start date of the relative period |
| ouMode | No | The mode of selecting organisation units. Default is DESCENDANTS, meaning all sub units in the hierarchy. CHILDREN refers to immediate children in the hierarchy; SELECTED refers to the selected organisation units only. | DESCENDANTS, CHILDREN, SELECTED |
| asc | No | Dimensions to be sorted ascending, can reference enrollment date, incident date, org unit name and code. | ENROLLMENTDATE | INCIDENTDATE| OUNAME | OUCODE |
| desc | No | Dimensions to be sorted descending, can reference enrollment date, incident date, org unit name and code. | ENROLLMENTDATE | INCIDENTDATE| OUNAME | OUCODE | hierarchyMeta | No | Include names of organisation unit ancestors and hierarchy paths of organisation units in the metadata. | false | true |
| coordinatesOnly | No | Whether to only return enrollments which have coordinates. | false | true |
| page | No | The page number. Default page is 1. | Numeric positive value |
| pageSize | No | The page size. Default size is 50 items per page. | Numeric zero or positive value |
The default response representation format is JSON. The requests must be using the HTTP GET method. The following response formats are supported.
As an example, to get a response in Excel format you can use a file extension in the request URL like this:
/api/33/analytics/enrollments/query/WSGAb5XwJ3Y.xls?dimension=ou:ImspTQPwCqd
&dimension=WZbXY0S00lP.de0FEHSIoxh&columns=w75KJ2mc4zz
&dimension=WZbXY0S00lP.sWoqcoByYmD&dimension=pe:LAST_MONTH&stage=WZbXY0S00lP
&pageSize=10&page=1&asc=ENROLLMENTDATE&ouMode=DESCENDANTS
The default response JSON format will look similar to this:
{
"headers": [
{
"name": "pi",
"column": "Enrollment",
"valueType": "TEXT",
"type": "java.lang.String",
"hidden": false,
"meta": true
},
{
"name": "tei",
"column": "Tracked entity instance",
"valueType": "TEXT",
"type": "java.lang.String",
"hidden": false,
"meta": true
},
{
"name": "enrollmentdate",
"column": "Enrollment date",
"valueType": "DATE",
"type": "java.util.Date",
"hidden": false,
"meta": true
},
{
"name": "incidentdate",
"column": "Incident date",
"valueType": "DATE",
"type": "java.util.Date",
"hidden": false,
"meta": true
},
{
"name": "geometry",
"column": "Geometry",
"valueType": "TEXT",
"type": "java.lang.String",
"hidden": false,
"meta": true
},
{
"name": "longitude",
"column": "Longitude",
"valueType": "NUMBER",
"type": "java.lang.Double",
"hidden": false,
"meta": true
},
{
"name": "latitude",
"column": "Latitude",
"valueType": "NUMBER",
"type": "java.lang.Double",
"hidden": false,
"meta": true
},
{
"name": "ouname",
"column": "Organisation unit name",
"valueType": "TEXT",
"type": "java.lang.String",
"hidden": false,
"meta": true
},
{
"name": "oucode",
"column": "Organisation unit code",
"valueType": "TEXT",
"type": "java.lang.String",
"hidden": false,
"meta": true
},
{
"name": "ou",
"column": "Organisation unit",
"valueType": "TEXT",
"type": "java.lang.String",
"hidden": false,
"meta": true
},
{
"name": "de0FEHSIoxh",
"column": "WHOMCH Chronic conditions",
"valueType": "BOOLEAN",
"type": "java.lang.Boolean",
"hidden": false,
"meta": true
},
{
"name": "sWoqcoByYmD",
"column": "WHOMCH Smoking",
"valueType": "BOOLEAN",
"type": "java.lang.Boolean",
"hidden": false,
"meta": true
}
],
"metaData": {
"pager": {
"page": 2,
"total": 163,
"pageSize": 4,
"pageCount": 41
},
"items": {
"ImspTQPwCqd": {
"name": "Sierra Leone"
},
"PFDfvmGpsR3": {
"name": "Care at birth"
},
"bbKtnxRZKEP": {
"name": "Postpartum care visit"
},
"ou": {
"name": "Organisation unit"
},
"PUZaKR0Jh2k": {
"name": "Previous deliveries"
},
"edqlbukwRfQ": {
"name": "Antenatal care visit"
},
"WZbXY0S00lP": {
"name": "First antenatal care visit"
},
"sWoqcoByYmD": {
"name": "WHOMCH Smoking"
},
"WSGAb5XwJ3Y": {
"name": "WHO RMNCH Tracker"
},
"de0FEHSIoxh": {
"name": "WHOMCH Chronic conditions"
}
},
"dimensions": {
"pe": [],
"ou": ["ImspTQPwCqd"],
"sWoqcoByYmD": [],
"de0FEHSIoxh": []
}
},
"width": 12,
"rows": [
[
"A0cP533hIQv",
"to8G9jAprnx",
"2019-02-02 12:05:00.0",
"2019-02-02 12:05:00.0",
"",
"0.0",
"0.0",
"Tonkomba MCHP",
"OU_193264",
"xIMxph4NMP1",
"0",
"1"
],
[
"ZqiUn2uXmBi",
"SJtv0WzoYki",
"2019-02-02 12:05:00.0",
"2019-02-02 12:05:00.0",
"",
"0.0",
"0.0",
"Mawoma MCHP",
"OU_254973",
"Srnpwq8jKbp",
"0",
"0"
],
[
"lE747mUAtbz",
"PGzTv2A1xzn",
"2019-02-02 12:05:00.0",
"2019-02-02 12:05:00.0",
"",
"0.0",
"0.0",
"Kunsho CHP",
"OU_193254",
"tdhB1JXYBx2",
"",
"0"
],
[
"nmcqu9QF8ow",
"pav3tGLjYuq",
"2019-02-03 12:05:00.0",
"2019-02-03 12:05:00.0",
"",
"0.0",
"0.0",
"Korbu MCHP",
"OU_678893",
"m73lWmo5BDG",
"",
"1"
]
],
"height": 4
}
The headers section of the response describes the content of the query result. The enrollment unique identifier, the tracked entity instance identifier, the enrollment date, the incident date, geometry, latitude, longitude, the organisation unit name and the organisation unit code appear as the first dimensions in the response and will always be present. Next comes the data elements, and tracked entity attributes which were specified as dimensions in the request, in this case, the "WHOMCH Chronic conditions" and "WHOMCH smoking" data element dimensions. The header section contains the identifier of the dimension item in the "name" property and a readable dimension description in the "column" property.
The metaData section, ou object contains the identifiers of all organisation units present in the response mapped to a string representing the hierarchy. This hierarchy string lists the identifiers of the ancestors (parents) of the organisation unit starting from the root. The names object contains the identifiers of all items in the response mapped to their names.
The rows section contains the enrollments produced by the query. Each row represents exactly one enrollment.
The non-aggregation enrollment analytics API also supports linking Program Indicators to Relationship Types, in order to show the result of a calculation of a specific Program Indicator applied to the related entities of the listed Tracked Entity Instance.

For the Program Indicator/Relationship Type link to work, the /api/33/analytics/enrollments/query API requires an additional dimension which must include the chosen Relationship Type UID and the chosen Program Indicator UID:
/api/33/analytics/enrollments/query/<program-id>
?dimension=<relationshiptype-id>.<programindicator-id>
For example, to retrieve a list of enrollments from the "WHO RMNCH Tracker" program for January 2019 and display the count of Malaria Cases linked to that Enrollment by "Malaria case linked to person" type of relationship, you can use the following query
/api/33/analytics/enrollments/query/WSGAb5XwJ3Y.json?dimension=mxZDvSZYxlw.nFICjJluo74
&startDate=2019-01-01&endDate=2019-01-31
The API supports using program indicators which are not associated to the "main" program (that is the program ID specified after /query/).
The org unit analytics API provides statistics on org units classified by org unit group sets, i.e. counts of org units per org unit group within org unit group sets.
GET /api/orgUnitAnalytics?ou=<org-unit-id>&ougs=<org-unit-group-set-id>
The API requires at least one organisation unit and at least one organisation unit group set. Multiple org units and group sets can be provided separated by a semicolon.
The org unit analytics resource lets you specify a range of query parameters:
| Property | Description | Required |
|---|---|---|
| ou | Org unit identifiers, potentially separated by a semicolon. | Yes |
| ougs | Org unit group set identifiers, potentially separated by a semicolon. | Yes |
| columns | Org unit group set identifiers, potentially separated by a semicolon. Defines which group sets are rendered as columns in a table layout. | No |
The response will contain a column for the parent org unit, columns for each org unit group set part of the request and a column for the count. The statistics include the count of org units which are part of the sub-hierarchy of the org units specified in the request. The response contains a metadata section which specifies the name of each org unit and org unit group part of the response referenced by their identifiers.
The default response is normalized with a single count column. The response can be rendered in a table layout by specifying at least one org unit group set using the columns query parameter.
The org unit analytics endpoint supports the following representation formats:
To fetch org unit analytics for an org unit and org unit group set:
GET /api/orgUnitAnalytics?ou=lc3eMKXaEfw&ougs=J5jldMd8OHv
To fetch org unit analytics data for two org units and two org unit group sets:
GET /api/orgUnitAnalytics?ou=lc3eMKXaEfw;PMa2VCrupOd&ougs=J5jldMd8OHv;Bpx0589u8y0
To fetch org unit analytics data in table mode with one group set rendered as columns:
GET /api/orgUnitAnalytics?ou=fdc6uOvgoji;jUb8gELQApl;lc3eMKXaEfw;PMa2VCrupOd
&ougs=J5jldMd8OHv&columns=J5jldMd8OHv
The possible validation errors specifically for the org unit analytics API are described in the table below. Some errors specified for the aggregate analytics API are also relevant.
| Error code | Message |
|---|---|
| E7300 | At least one organisation unit must be specified |
| E7301 | At least one organisation unit group set must be specified |
Data set reports can be generated through the web api using the /dataSetReport resource. This resource generates reports on data set and returns the result in the form of an HTML table.
/api/33/dataSetReport
The request supports the following parameters:
| Parameter | Description | Type | Required |
|---|---|---|---|
| ds | Data set to create the report from. | Data set UID | Yes |
| pe | Period to create the report from. | ISO String | Yes |
| ou | Organisation unit to create the report from. | Organisation unit UID | Yes |
| filter | Filters to be used as filters for the report. Can be repeated any number of times. Follows the analytics API syntax. | One or more UIDs | No |
| selectedUnitOnly | Whether to use captured data only or aggregated data. | Boolean | No |
The data set report resource accepts GET requests only. The response content type is application/json and returns data in a grid. This endpoint works for all types of data sets, including default, section and custom forms.
An example request to retrieve a report for a data set and org unit for 2018 looks like this:
GET /api/33/dataSetReport?ds=BfMAe6Itzgt&pe=201810&ou=ImspTQPwCqd&selectedUnitOnly=false
To get a data set report with a filter you can use the filter parameter. In this case, the filter is based on an org unit group set and two org unit groups:
GET /api/33/dataSetReport?ds=BfMAe6Itzgt&pe=201810&ou=ImspTQPwCqd
&filter=J5jldMd8OHv:RXL3lPSK8oG;tDZVQ1WtwpA
The data set report endpoint supports output in the following formats. You can retrieve a specific endpoint using the file extension or Accept HTTP header.
A dedicated endpoint is available for data sets with custom HTML forms. This endpoint returns the HTML form content with content type text/html with data inserted into it. Note that you can use the general data set report endpoint also for data sets with custom forms; however, that will return the report in JSON format as a grid. This endpoint only works for data sets with custom HTML forms.
GET /api/33/dataSetReport/custom
The syntax for this endpoint is otherwise equal to the general data set report endpoint. To retrieve a custom HTML data set report you can issue a request like this:
GET /api/33/dataSetReport/custom?ds=lyLU2wR22tC&pe=201810&ou=ImspTQPwCqd
The push analysis API includes endpoints for previewing a push analysis report for the logged in user and manually triggering the system to generate and send push analysis reports, in addition to the normal CRUD operations. When using the create and update endpoints for push analysis, the push analysis will be scheduled to run based on the properties of the push analysis. When deleting or updating a push analysis to be disabled, the job will also be stopped from running in the future.
To get an HTML preview of an existing push analysis, you can do a GET request to the following endpoint:
/api/33/pushAnalysis/<id>/render
To manually trigger a push analysis job, you can do a POST request to this endpoint:
/api/33/pushAnalysis/<id>/run
A push analysis consists of the following properties, where some are required to automatically run push analysis jobs:
| Property | Description | Type | Required |
|---|---|---|---|
| dashboard | Dashboard on which reports are based | Dashboard UID | Yes |
| message | Appears after title in reports | String | No |
| recipientUserGroups | A set of user groups who should receive the reports | One or more user Group UID | No. Scheduled jobs without any recipient will be skipped. |
| enabled | Indicated whether this push analysis should be scheduled or not. False by default. | Boolean | Yes. Must be true to be scheduled. |
| schedulingFrequency | The frequency of which reports should be scheduled. | "DAILY", "WEEKLY", "MONTHLY" | No. Push analysis without a frequency will not be scheduled |
| schedulingDayOfFrequency | The day in the frequency the job should be scheduled. | Integer. Any value when frequency is "DAILY". 0-7 when frequency is "WEEKLY". 1-31 when frequency is "MONTHLY" | No. Push analysis without a valid day of frequency for the frequency set will not be scheduled. |
The usage analytics API lets you access information about how people are using DHIS2 based on data analysis. When users access favorites, an event is recorded. The event consists of the user name, the UID of the favorite, when the event took place, and the type of event. The different types of events are listed in the table.
/api/33/dataStatistics
The usage analytics API lets you retrieve aggregated snapshots of usage analytics based on time intervals. The API captures user views (for example the number of times a chart or pivot table has been viewed by a user) and saved analysis favorites (for example favorite charts and pivot tables). DHIS2 will capture nightly snapshots which are then aggregated at request.
The usage analytics (data statistics) API supports two operations:
POST: creates a view event
GET: retrieves aggregated statistics
The usage analytics API lets you create event views. The dataStatisticsEventType parameter describes what type of item was viewed. The favorite parameter indicates the identifier of the relevant favorite.
URL that creates a new event view of charts:
POST /api/33/dataStatistics?eventType=CHART_VIEW&favorite=LW0O27b7TdD
A successful save operation returns an HTTP status code 201. The table below shows the supported types of events.
| Key | Description |
|---|---|
| REPORT_TABLE_VIEW | Report table (pivot table) view |
| CHART_VIEW | Chart view |
| MAP_VIEW | Map view (GIS) |
| EVENT_REPORT_VIEW | Event report view |
| EVENT_CHART_VIEW | Event chart view |
| DASHBOARD_VIEW | Dashboard view |
| PASSIVE_DASHBOARD_VIEW | Dashboard view (when not explicitly selecting the dashboard) |
| DATA_SET_REPORT_VIEW | Data set report view |
The usage analytics (data statistics) API lets you specify certain query parameters when asking for an aggregated report.
| Query parameter | Required | Description | Options |
|---|---|---|---|
| startDate | Yes | Start date for period | Date in yyyy-MM-dd format |
| endDate | Yes | End date for period | Date in yyyy-MM-dd format |
| interval | Yes | Type of interval to be aggregated | DAY, WEEK, MONTH, YEAR |
The startDate and endDate parameters specify the period for which snapshots are to be used in the aggregation. You must format the dates as shown above. If no snapshots are saved in the specified period, an empty list is sent back. The parameter called interval specifies what type of aggregation will be done.
API query that creates a query for a monthly aggregation:
GET /api/33/dataStatistics?startDate=2014-01-02&endDate=2016-01-01&interval=MONTH
The usage analytics API lets you retrieve the top favorites used in DHIS2, and by user.
| Query parameter | Required | Description | Options |
|---|---|---|---|
| eventType | Yes | The data statistics event type | See above table |
| pageSize | No | Size of the list returned | For example 5, 10, 25. Default is 25 |
| sortOrder | No | Descending or ascending | ASC or DESC. Default is DESC. |
| username | No | If specified, the response will only contain favorites by this user. | For example 'admin' |
The API query can be used without a username, and will then find the top favorites of the system.
/api/33/dataStatistics/favorites?eventType=CHART_VIEW&pageSize=25&sortOrder=ASC
If the username is specified, the response will only contain the top favorites of that user.
/api/33/dataStatistics/favorites?eventType=CHART_VIEW&pageSize=25
&sortOrder=ASC&username=admin
You can return the aggregated data in a usage analytics response in several representation formats. The default format is JSON. The available formats and content types are:
json (application/json)
xml (application/xml)
html (text/html)
API query that requests a usage analytics response in XML format:
/api/33/dataStatistics.xml?startDate=2014-01-01&endDate=2016-01-01&interval=WEEK
You must retrieve the aggregated usage analytics response with the HTTP GET method. This allows you to link directly from Web pages and other HTTP-enabled clients to usage analytics responses. To do functional testing use the cURL library.
To get an usage analytics response in JSON format:
/api/33/dataStatistics?startDate=2016-02-01&endDate=2016-02-14&interval=WEEK
The JSON response looks like this:
[
{
"year": 2016,
"week": 5,
"mapViews": 2181,
"chartViews": 2227,
"reportTableViews": 5633,
"eventReportViews": 6757,
"eventChartViews": 9860,
"dashboardViews": 10082,
"passiveDashboardViews": 0,
"totalViews": 46346,
"averageViews": 468,
"averageMapViews": 22,
"averageChartViews": 22,
"averageReportTableViews": 56,
"averageEventReportViews": 68,
"averageEventChartViews": 99,
"averageDashboardViews": 101,
"averagePassiveDashboardViews": 0,
"savedMaps": 1805,
"savedCharts": 2205,
"savedReportTables": 1995,
"savedEventReports": 1679,
"savedEventCharts": 1613,
"savedDashboards": 0,
"savedIndicators": 1831,
"activeUsers": 99,
"users": 969
},
{
"year": 2016,
"week": 6,
"mapViews": 2018,
"chartViews": 2267,
"reportTableViews": 4714,
"eventReportViews": 6697,
"eventChartViews": 9511,
"dashboardViews": 12181,
"passiveDashboardViews": 0,
"totalViews": 47746,
"averageViews": 497,
"averageMapViews": 21,
"averageChartViews": 23,
"averageReportTableViews": 49,
"averageEventReportViews": 69,
"averageEventChartViews": 99,
"averageDashboardViews": 126,
"averagePassiveDashboardViews": 0,
"savedMaps": 1643,
"savedCharts": 1935,
"savedReportTables": 1867,
"savedEventReports": 1977,
"savedEventCharts": 1714,
"savedDashboards": 0,
"savedIndicators": 1646,
"activeUsers": 96,
"users": 953
}
]
You can retrieve the number of view for a specific favorite by using the favorites resource, where {favorite-id} should be substituted with the identifier of the favorite of interest:
/api/33/dataStatistics/favorites/{favorite-id}.json
The response will contain the number of views for the given favorite and look like this:
{
"views": 3
}
The geoFeatures resource lets you retrieve geospatial information from DHIS2. Geospatial features are stored together with organisation units. The syntax for retrieving features is identical to the syntax used for the organisation unit dimension for the analytics resource. It is recommended to read up on the analytics api resource before continuing to read this section. You must use the GET request type, and only JSON response format is supported.
As an example, to retrieve geo features for all organisation units at level 3 in the organisation unit hierarchy you can use a GET request with the following URL:
/api/33/geoFeatures.json?ou=ou:LEVEL-3
To retrieve geo features for organisation units at a level within the boundary of an organisation unit (e.g. at level 2) you can use this URL:
/api/33/geoFeatures.json?ou=ou:LEVEL-4;O6uvpzGd5pu
The semantics of the response properties are described in the following table.
| Property | Description |
|---|---|
| id | Organisation unit / geo feature identifier |
| na | Organisation unit / geo feature name |
| hcd | Has coordinates down, indicating whether one or more children organisation units exist with coordinates (below in the hierarchy) |
| hcu | Has coordinates up, indicating whether the parent organisation unit has coordinates (above in the hierarchy) |
| le | Level of this organisation unit / geo feature. |
| pg | Parent graph, the graph of parent organisation unit identifiers up to the root in the hierarchy |
| pi | Parent identifier, the identifier of the parent of this organisation unit |
| pn | Parent name, the name of the parent of this organisation unit |
| ty | Geo feature type, 1 = point and 2 = polygon or multi-polygon |
| co | Coordinates of this geo feature |
To export GeoJSON, you can simply add .geosjon as an extension to the endpoint /api/organisationUnits, or you can use the Accept header application/json+geojson.
Two parameters are supported: level (default is 1) and parent (default is root organisation units). Both can be included multiple times. Some examples:
Get all features at level 2 and 4:
/api/organisationUnits.geojson?level=2&level=4
Get all features at level 3 with a boundary organisation unit:
/api/organisationUnits.geojson?parent=fdc6uOvgoji&level=3
Analytics table hooks provide a mechanism for invoking SQL scripts during different phases of the analytics table generation process. This is useful for customizing data in resource and analytics tables, e.g. in order to achieve specific logic for calculations and aggregation. Analytics table hooks can be manipulated at the following API endpoint:
/api/analyticsTableHooks
The analytics table hooks API supports the standard HTTP CRUD operations for creating (POST), updating (PUT), retrieving (GET) and deleting (DELETE) entities.
Analytics table hooks have the following fields:
| Field | Options | Description |
|---|---|---|
| name | Text | Name of the hook. |
| phase | RESOURCE_TABLE_POPULATED, ANALYTICS_TABLE_POPULATED | The phase for when the SQL script should be invoked. |
| resourceTableType | See column "Table type" in table "Phases, table types and temporary tables" below | The type of resource table for which to invoke the SQL script. Applies only for hooks defined with the RESOURCE_TABLE_POPULATED phase. |
| analyticsTableType | See column "Table type" in table "Phases, table types and temporary tables" below | The type of analytics table for which to invoke the SQL script. Applies only for hooks defined with the ANALYTICS_TABLE_POPULATED phase. |
| sql | Text | The SQL script to invoke. |
The ANALYTICS_TABLE_POPULATED phase takes place after the analytics table has been populated, but before indexes have been created and the temp table has been swapped with the main table. As a result, the SQL script should refer to the analytics temp table, e.g. analytics_temp, analytics_completeness_temp.
This applies also to the RESOURCE_TABLE_POPULATED phase, which takes place after the resource table has been populated, but before indexes have been created and the temp table has been swapped with the main table. As a result, the SQL script should refer to the resource temp table, e.g. _orgunitstructure_temp, _categorystructure_temp.
You should define only one of the resourceTableType and analyticsTableType fields, depending on which phase is defined.
You can refer to the temporary database table which matches the specified hook table type only (other temporary tables will not be available). As an example, if you specify ORG_UNIT_STRUCTURE as the resource table type, you can refer to the _orgunitstructure_temp temporary database table only.
The following table shows the valid combinations of phases, table types and temporary tables.
| Phase | Table type | Temporary table |
|---|---|---|
| RESOURCE_TABLE_POPULATED | ORG_UNIT_STRUCTURE | _orgunitstructure_temp |
| DATA_SET_ORG_UNIT_CATEGORY | _datasetorgunitcategory_temp | |
| CATEGORY_OPTION_COMBO_NAME | _categoryoptioncomboname_temp | |
| DATA_ELEMENT_GROUP_SET_STRUCTURE | _dataelementgroupsetstructure_temp | |
| INDICATOR_GROUP_SET_STRUCTURE | _indicatorgroupsetstructure_temp | |
| ORG_UNIT_GROUP_SET_STRUCTURE | _organisationunitgroupsetstructure_temp | |
| CATEGORY_STRUCTURE | _categorystructure_temp | |
| DATA_ELEMENT_STRUCTURE | _dataelementstructure_temp | |
| PERIOD_STRUCTURE | _periodstructure_temp | |
| DATE_PERIOD_STRUCTURE | _dateperiodstructure_temp | |
| DATA_ELEMENT_CATEGORY_OPTION_COMBO | _dataelementcategoryoptioncombo_temp | |
| DATA_APPROVAL_MIN_LEVEL | _dataapprovalminlevel_temp | |
| ANALYTICS_TABLE_POPULATED | DATA_VALUE | analytics_temp |
| COMPLETENESS | analytics_completeness_temp | |
| COMPLETENESS_TARGET | analytics_completenesstarget_temp | |
| ORG_UNIT_TARGET | analytics_orgunittarget_temp | |
| EVENT | analytics_event_temp_<program-uid> | |
| ENROLLMENT | analytics_enrollment_temp_<program-uid> | |
| VALIDATION_RESULT | analytics_validationresult_temp |
To create a hook which should run after the resource tables have been populated you can do a POST request like this using JSON format:
curl -d @hooks.json "localhost/api/analyticsTableHooks" -H "Content-Type:application/json" -u admin:district
{
"name": "Update 'Area' in org unit group set resource table",
"phase": "RESOURCE_TABLE_POPULATED",
"resourceTableType": "ORG_UNIT_GROUP_SET_STRUCTURE",
"sql": "update _organisationunitgroupsetstructure_temp set \"uIuxlbV1vRT\" = 'b0EsAxm8Nge'"
}
To create a hook which should run after the data value analytics table has been populated you can do a POST request like this using JSON format:
{
"name": "Update 'Currently on treatment' data in analytics table",
"phase": "ANALYTICS_TABLE_POPULATED",
"analyticsTableType": "DATA_VALUE",
"sql": "update analytics_temp set monthly = '200212' where \"monthly\" in ('200210', '200211')"
}
The Web API provides a resource which can be used to convert SVG content into more widely used formats such as PNG and PDF. Ideally this conversion should happen on the client side, but not all client side technologies are capable of performing this task. Currently PNG and PDF output formats are supported. The SVG content itself should be passed with a svg query parameter, and an optional query parameter filename can be used to specify the filename of the response attachment file. Note that the file extension should be omitted. For PNG you can send a POST request to the following URL with Content-type application/x-www-form-urlencoded, identical to a regular HTML form submission.
api/svg.png
For PDF you can send a POST request to the following URL with content-type application/x-www-form-urlencoded.
api/svg.pdf
| Query parameter | Required | Description |
|---|---|---|
| svg | Yes | The SVG content |
| filename | No | The file name for the returned attachment without file extension |
DHIS2 features a set of generated database tables which are used as a basis for various system functionality. These tables can be executed immediately or scheduled to be executed at regular intervals through the user interface. They can also be generated through the Web API as explained in this section. This task is typically one for a system administrator and not consuming clients.
The resource tables are used internally by the DHIS2 application for various analysis functions. These tables are also valuable for users writing advanced SQL reports. They can be generated with a POST or PUT request to the following URL:
/api/33/resourceTables
The analytics tables are optimized for data aggregation and used currently in DHIS2 for the pivot table module. The analytics tables can be generated with a POST or PUT request to:
/api/33/resourceTables/analytics
| Query parameter | Options | Description |
|---|---|---|
| skipResourceTables | false | true | Skip generation of resource tables |
| skipAggregate | false | true | Skip generation of aggregate data and completeness data |
| skipEvents | false | true | Skip generation of event data |
| skipEnrollment | false | true | Skip generation of enrollment data |
| lastYears | integer | Number of last years of data to include |
"Data Quality" and "Data Surveillance" can be run through the monitoring task, triggered with the following endpoint:
/api/33/resourceTables/monitoring
This task will analyse your validation rules, find any violations and persist them as validation results.
These requests will return immediately and initiate a server-side process.
To perform maintenance you can interact with the maintenance resource. You should use POST or PUT as a method for requests. The following methods are available.
Analytics tables clear will drop all analytics tables.
POST PUT /api/maintenance/analyticsTablesClear
Analytics table analyze will collects statistics about the contents of analytics tables in the database.
POST PUT /api/maintenance/analyticsTablesAnalyze
Expired invitations clear will remove all user account invitations which have expired.
POST PUT /api/maintenance/expiredInvitationsClear
Period pruning will remove periods which are not linked to any data values.
POST PUT /api/maintenance/periodPruning
Zero data value removal will delete zero data values linked to data elements where zero data is defined as not significant:
POST PUT /api/maintenance/zeroDataValueRemoval
Soft deleted data value removal will permanently delete soft deleted data values.
POST PUT /api/maintenance/softDeletedDataValueRemoval
Soft deleted program stage instance removal will permanently delete soft deleted events.
POST PUT /api/maintenance/softDeletedProgramStageInstanceRemoval
Soft deleted program instance removal will permanently delete soft deleted enrollments.
POST PUT /api/maintenance/softDeletedProgramInstanceRemoval
Soft deleted tracked entity instance removal will permanently delete soft deleted tracked entity instances.
POST PUT /api/maintenance/softDeletedTrackedEntityInstanceRemoval
Drop SQL views will drop all SQL views in the database. Note that it will not delete the DHIS2 SQL view entities.
POST PUT /api/maintenance/sqlViewsDrop
Create SQL views will recreate all SQL views in the database.
POST PUT /api/maintenance/sqlViewsCreate
Category option combo update will remove obsolete and generate missing category option combos for all category combinations.
POST PUT /api/maintenance/categoryOptionComboUpdate
It is also possible to update category option combos for a single category combo using the following endpoint.
POST PUT /api/maintenance/categoryOptionComboUpdate/categoryCombo/<category-combo-uid>
Cache clearing will clear the application Hibernate cache and the analytics partition caches.
POST PUT /api/maintenance/cacheClear
Org unit paths update will re-generate the organisation unit path property. This can be useful e.g. if you imported org units with SQL.
POST PUT /api/maintenance/ouPathsUpdate
Data pruning will remove complete data set registrations, data approvals, data value audits and data values, in this case for an organisation unit.
POST PUT /api/maintenance/dataPruning/organisationUnits/<org-unit-id>
Data pruning for data elements, which will remove data value audits and data values.
POST PUT /api/maintenance/dataPruning/dataElement/<data-element-uid>
Metadata validation will apply all metadata validation rules and return the result of the operation.
POST PUT /api/metadataValidation
App reload will refresh the DHIS2 managed cache of installed apps by reading from the file system.
POST PUT /api/appReload
Maintenance operations are supported in a batch style with a POST request to the api/maintenance resource where the operations are supplied as query parameters:
POST PUT /api/maintenance?analyticsTablesClear=true&expiredInvitationsClear=true
&periodPruning=true&zeroDataValueRemoval=true&sqlViewsDrop=true&sqlViewsCreate=true
&categoryOptionComboUpdate=true&cacheClear=true&ouPathsUpdate=true
The system resource provides you with convenient information and functions. The system resource can be found at /api/system.
To generate valid, random DHIS2 identifiers you can do a GET request to this resource:
/api/33/system/id?limit=3
The limit query parameter is optional and indicates how many identifiers you want to be returned with the response. The default is to return one identifier. The response will contain a JSON object with an array named codes, similar to this:
{
"codes": ["Y0moqFplrX4", "WI0VHXuWQuV", "BRJNBBpu4ki"]
}
The DHIS2 UID format has these requirements:
11 characters long.
Alphanumeric characters only, ie. alphabetic or numeric characters (A-Za-z0-9).
Start with an alphabetic character (A-Za-z).
To get information about the current system you can do a GET request to this URL:
/api/33/system/info
JSON and JSONP response formats are supported. The system info response currently includes the below properties.
{
"contextPath": "http://yourdomain.com",
"userAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 Chrome/29.0.1547.62",
"calendar": "iso8601",
"dateFormat": "yyyy-mm-dd",
"serverDate": "2021-01-05T09:16:03.548",
"serverTimeZoneId": "Etc/UTC",
"serverTimeZoneDisplayName": "Coordinated Universal Time",
"version": "2.13-SNAPSHOT",
"revision": "11852",
"buildTime": "2013-09-01T21:36:21.000+0000",
"serverDate": "2013-09-02T12:35:54.311+0000",
"environmentVariable": "DHIS2_HOME",
"javaVersion": "1.7.0_06",
"javaVendor": "Oracle Corporation",
"javaIoTmpDir": "/tmp",
"javaOpts": "-Xms600m -Xmx1500m -XX:PermSize=400m -XX:MaxPermSize=500m",
"osName": "Linux",
"osArchitecture": "amd64",
"osVersion": "3.2.0-52-generic",
"externalDirectory": "/home/dhis/config/dhis2",
"databaseInfo": {
"type": "PostgreSQL",
"name": "dhis2",
"user": "dhis",
"spatialSupport": false
},
"memoryInfo": "Mem Total in JVM: 848 Free in JVM: 581 Max Limit: 1333",
"cpuCores": 8
}
Note
If the user requesting this resource does not have full authority then only properties which are not considered sensitive will be included.
To get information about the system context only, i.e. contextPath and userAgent, you can make a GET request to the below URL. JSON and JSONP response formats are supported:
/api/33/system/context
To check if some user credentials (a username and password combination) is correct you can make a GET request to the following resource using basic authentication:
/api/33/system/ping
You can detect the outcome of the authentication by inspecting the HTTP status code of the response header. The meanings of the possible status codes are listed below. Note that this applies to Web API requests in general.
| HTTP Status code | Description | Outcome |
|---|---|---|
| 200 | OK | Authentication was successful |
| 302 | Found | No credentials were supplied with the request - no authentication took place |
| 401 | Unauthorized | The username and password combination was incorrect - authentication failed |
Tasks which often take a long time to complete can be performed asynchronously. After initiating an async task you can poll the status through the system/tasks resource by supplying the task category and the task identifier of interest.
When polling for the task status you need to authenticate as the same user which initiated the task. The following task categories are supported:
| Identifier | Description |
|---|---|
| ANALYTICS_TABLE | Generation of the analytics tables. |
| RESOURCE_TABLE | Generation of the resource tables. |
| MONITORING | Processing of data surveillance/monitoring validation rules. |
| DATAVALUE_IMPORT | Import of data values. |
| EVENT_IMPORT | Import of events. |
| ENROLLMENT_IMPORT | Import of enrollments. |
| TEI_IMPORT | Import of tracked entity instances. |
| METADATA_IMPORT | Import of metadata. |
| DATA_INTEGRITY | Processing of data integrity checks. |
Each asynchronous task is automatically assigned an identifier which can be used to monitor the status of the task. This task identifier is returned by the API when you initiate an async task through the various async-enabled endpoints.
You can poll the task status through a GET request to the system tasks resource like this:
/api/33/system/tasks/{task-category-id}/{task-id}
An example request may look like this:
/api/33/system/tasks/DATAVALUE_IMPORT/j8Ki6TgreFw
The response will provide information about the status, such as the notification level, category, time and status. The completed property indicates whether the process is considered to be complete.
[
{
"uid": "hpiaeMy7wFX",
"level": "INFO",
"category": "DATAVALUE_IMPORT",
"time": "2015-09-02T07:43:14.595+0000",
"message": "Import done",
"completed": true
}
]
You can poll all tasks for a specific category through a GET request to the system tasks resource:
/api/33/system/tasks/{task-category-id}
An example request to poll for the status of data value import tasks looks like this:
/api/33/system/tasks/DATAVALUE_IMPORT
You can request a list of all currently running tasks in the system with a GET request to the system tasks resource:
/api/33/system/tasks
The response will look similar to this:
[
{
"EVENT_IMPORT": {},
"DATA_STATISTICS": {},
"RESOURCE_TABLE": {},
"FILE_RESOURCE_CLEANUP": {},
"METADATA_IMPORT": {},
"CREDENTIALS_EXPIRY_ALERT": {},
"SMS_SEND": {},
"MOCK": {},
"ANALYTICSTABLE_UPDATE": {},
"COMPLETE_DATA_SET_REGISTRATION_IMPORT": {},
"DATAVALUE_IMPORT": {},
"DATA_SET_NOTIFICATION": {},
"DATA_INTEGRITY": {
"OB1qGRlCzap": [
{
"uid": "LdHQK0PXZyF",
"level": "INFO",
"category": "DATA_INTEGRITY",
"time": "2018-03-26T15:02:32.171",
"message": "Data integrity checks completed in 38.31 seconds.",
"completed": true
}
]
},
"PUSH_ANALYSIS": {},
"MONITORING": {},
"VALIDATION_RESULTS_NOTIFICATION": {},
"REMOVE_EXPIRED_RESERVED_VALUES": {},
"DATA_SYNC": {},
"SEND_SCHEDULED_MESSAGE": {},
"DATAVALUE_IMPORT_INTERNAL": {},
"PROGRAM_NOTIFICATIONS": {},
"META_DATA_SYNC": {},
"ANALYTICS_TABLE": {},
"PREDICTOR": {}
}
]
The task summaries resource allows you to retrieve a summary of an asynchronous task invocation. You need to specify the category and optionally the identifier of the task. The task identifier can be retrieved from the response of the API request which initiated the asynchronous task.
To retrieve the summary of a specific task you can issue a request to:
/api/33/system/taskSummaries/{task-category-id}/{task-id}
An example request might look like this:
/api/33/system/taskSummaries/DATAVALUE_IMPORT/k72jHfF13J1
The response will look similar to this:
{
"responseType": "ImportSummary",
"status": "SUCCESS",
"importOptions": {
"idSchemes": {},
"dryRun": false,
"async": true,
"importStrategy": "CREATE_AND_UPDATE",
"mergeMode": "REPLACE",
"reportMode": "FULL",
"skipExistingCheck": false,
"sharing": false,
"skipNotifications": false,
"datasetAllowsPeriods": false,
"strictPeriods": false,
"strictCategoryOptionCombos": false,
"strictAttributeOptionCombos": false,
"strictOrganisationUnits": false,
"requireCategoryOptionCombo": false,
"requireAttributeOptionCombo": false,
"skipPatternValidation": false
},
"description": "Import process completed successfully",
"importCount": {
"imported": 0,
"updated": 431,
"ignored": 0,
"deleted": 0
},
"dataSetComplete": "false"
}
You might also retrieve import summaries for multiple tasks of a specific category with a request like this:
/api/33/system/taskSummaries/{task-category-id}
You can retrieve the available flag icons in JSON format with a GET request:
/api/33/system/flags
You can retrieve the available UI styles in JSON format with a GET request:
/api/33/system/styles
When DHIS 2 is set up in a cluster configuration, it is useful to know which node in the cluster acts as the leader of the cluster. The following API can be used to get the details of the leader node instance. The API supports both JSON and XML formats.
GET /api/36/cluster/leader
A sample JSON response looks like this:
{
"leaderNodeId": "play-dhis2-org-dev",
"leaderNodeUuid": "d386e46b-26d4-4937-915c-025eb99c8cad",
"currentNodeId": "play-dhis2-org-dev",
"currentNodeUuid": "d386e46b-26d4-4937-915c-025eb99c8cad",
"leader": true
}
The min-max data elements resource allows you to set minimum and maximum value ranges for data elements. It is unique by the combination of organisation unit, data element and category option combo.
/api/minMaxDataElements
| Item | Description | Data type |
|---|---|---|
| source | Organisation unit identifier | String |
| dataElement | Data element identifier | String |
| optionCombo | Data element category option combo identifier | String |
| min | Minimum value | Integer |
| max | Maximum value | Integer |
| generated | Indicates whether this object is generated by the system (and not set manually). | Boolean |
You can retrieve a list of all min-max data elements from the following resource:
GET /api/minMaxDataElements.json
You can filter the response like this:
GET /api/minMaxDataElements.json?filter=dataElement.id:eq:UOlfIjgN8X6
GET /api/minMaxDataElements.json?filter=dataElement.id:in:[UOlfIjgN8X6,xc8gmAKfO95]
The filter parameter for min-max data elements supports two operators: eq and in. You can also use the fields query parameter.
GET /api/minMaxDataElements.json?fields=:all,dataElement[id,name]
To add a new min-max data element, use POST request to:
POST /api/minMaxDataElements.json
The JSON content format looks like this:
{
"min": 1,
"generated": false,
"max": 100,
"dataElement": {
"id": "UOlfIjgN8X6"
},
"source": {
"id": "DiszpKrYNg8"
},
"optionCombo": {
"id": "psbwp3CQEhs"
}
}
If the combination of data element, organisation unit and category option combo exists, the min-max value will be updated.
To delete a min-max data element, send a request with DELETE method:
DELETE /api/minMaxDataElements.json
The JSON content is in similar format as above:
{
"min": 1,
"generated": false,
"max": 100,
"dataElement": {
"id": "UOlfIjgN8X6"
},
"source": {
"id": "DiszpKrYNg8"
},
"optionCombo": {
"id": "psbwp3CQEhs"
}
}
The lock exceptions resource allows you to open otherwise locked data sets for data entry for a specific data set, period and organisation unit. You can read lock exceptions from the following resource:
/api/lockExceptions
To create a new lock exception you can use a POST request and specify the data set, period and organisation unit:
POST /api/lockExceptions?ds=BfMAe6Itzgt&pe=201709&ou=DiszpKrYNg8
To delete a lock exception you can use a similar request syntax with a DELETE request:
DELETE /api/lockExceptions?ds=BfMAe6Itzgt&pe=201709&ou=DiszpKrYNg8
DHIS2 supports translations both for the user interface and for database content.
You can retrieve the available locales for the user interface through the following resource with a GET request. XML and JSON resource representations are supported.
/api/33/locales/ui
You can retrieve and create locales for the database content with GET and POST requests through the following resource. XML and JSON resource representations are supported.
/api/33/locales/db
DHIS2 allows for translations of database content. You can work with translations through the Web API using the translations resource.
/api/33/translations
You can create a translation with a POST request in JSON format:
{
"objectId": "P3jJH5Tu5VC",
"className": "DataElement",
"locale": "es",
"property": "name",
"value": "Casos de fiebre amarilla"
}
POST /api/33/translations
The properties which support translations are listed in the table below.
| Property name | Description |
|---|---|
| name | Object name |
| shortName | Object short name |
| description | Object description |
The classes which support translations are listed in the table below.
| Class name | Description |
|---|---|
| DataElementCategoryOption | Category option |
| DataElementCategory | Category |
| DataElementCategoryCombo | Category combination |
| DataElement | Data element |
| DataElementGroup | Data element group |
| DataElementGroupSet | Data element group set |
| Indicator | Indicator |
| IndicatorType | Indicator type |
| IndicatorGroup | Indicator group |
| IndicatorGroupSet | Indicator group set |
| OrganisationUnit | Organisation unit |
| OrganisationUnitGroup | Organisation unit group |
| OrganisationUnitGroupSet | Organisation unit group set |
| DataSet | Data set |
| Section | Data set section |
| ValidationRule | Validation rule |
| ValidationRuleGroup | Validation rule group |
| Program | Program |
| ProgramStage | Program stage |
| TrackedEntityAttribute | Tracked entity attribute |
| TrackedEntity | Tracked entity |
| RelationshipType | Relationship type for tracked entity instances |
| OptionSet | Option set |
| Attribute | Attribute for metadata |
You can browse all translations through the translations resource:
GET /api/33/translations
You can use the standard filtering technique to fetch translations of interest. E.g. to get all translations for data elements in the Spanish locale you can use this request:
/api/33/translations.json?fields=*&filter=className:eq:DataElement&filter=locale:eq:es
To get translations for a specific object for all properties:
/api/33/translations.json?fields=*&filter=className:eq:DataElement
&filter=locale:eq:fr&filter=objectId:eq:fbfJHSPpUQD
In order to retrieve key-value pairs for translated strings you can use the i18n resource.
/api/33/i18n
The endpoint is located at /api/i18n and the request format is a simple array of the key-value pairs:
["access_denied", "uploading_data_notification"]
The request must be of type POST and use application/json as content-type. An example using curl, assuming the request data is saved as a file keys.json:
curl -d @keys.json "play.dhis2.org/demo/api/33/i18n" -X POST
-H "Content-Type: application/json" -u admin:district
The result will look like this:
{
"access_denied": "Access denied",
"uploading_data_notification": "Uploading locally stored data to the server"
}
This section covers the SMS Web API for sending and receiving short text messages.
The Web API supports sending outgoing SMS using the POST method. SMS can be sent to single or multiple destinations. One or more gateways need to be configured before using the service. An SMS will not be sent if there is no gateway configured. It needs a set of recipients and message text in JSON format as shown below.
/api/sms/outbound
{
"message": "Sms Text",
"recipients": ["004712341234", "004712341235"]
}
Note
Recipients list will be partitioned if the size exceeds
MAX_ALLOWED_RECIPIENTSlimit of 200.
The Web API also supports a query parameter version, but the parameterized API can only be used for sending SMS to a single destination.
/api/sms/outbound?message=text&recipient=004712341234
Outbound messages can be fetched using GET resource.
GET /api/sms/outbound
GET /api/sms/outbound?filter=status:eq:SENT
GET /api/sms/outbound?filter=status:eq:SENT&fields=*
Outbound messages can be deleted using DELETE resource.
DELETE /api/sms/outbound/{uid}
DELETE /api/sms/outbound?ids=uid1,uid2
Gateway may response with following response codes.
| Response code | Response Message | Detail Description |
|---|---|---|
| RESULT_CODE_0 | success | Message has been sent successfully |
| RESULT_CODE_1 | scheduled | Message has been scheduled successfully |
| RESULT_CODE_22 | internal fatal error | Internal fatal error |
| RESULT_CODE_23 | authentication failure | Authentication credentials are incorrect |
| RESULT_CODE_24 | data validation failed | Parameters provided in request are incorrect |
| RESULT_CODE_25 | insufficient credits | Credit is not enough to send message |
| RESULT_CODE_26 | upstream credits not available | Upstream credits not available |
| RESULT_CODE_27 | exceeded your daily quota | You have exceeded your daily quota |
| RESULT_CODE_40 | temporarily unavailable | Service is temporarily down |
| RESULT_CODE_201 | maximum batch size exceeded | Maximum batch size exceeded |
| RESULT_CODE_200 | success | The request was successfully completed |
| RESULT_CODE_202 | accepted | The message(s) will be processed |
| RESULT_CODE_207 | multi-status | More than one message was submitted to the API; however, not all messages have the same status |
| RESULT_CODE_400 | bad request | Validation failure (such as missing/invalid parameters or headers) |
| RESULT_CODE_401 | unauthorized | Authentication failure. This can also be caused by IP lockdown settings |
| RESULT_CODE_402 | payment required | Not enough credit to send message |
| RESULT_CODE_404 | not found | Resource does not exist |
| RESULT_CODE_405 | method not allowed | Http method is not support on the resource |
| RESULT_CODE_410 | gone | Mobile number is blocked |
| RESULT_CODE_429 | too many requests | Generic rate limiting error |
| RESULT_CODE_503 | service unavailable | A temporary error has occurred on our platform - please retry |
The Web API supports collecting incoming SMS messages using the POST method. Incoming messages routed towards the DHIS2 Web API can be received using this API. The API collects inbound SMS messages and provides it to listeners for parsing, based on the SMS content (SMS Command). An example payload in JSON format is given below. Text, originator, received date and sent date are mandatory parameters. The rest are optional but the system will use the default value for these parameters.
/api/sms/inbound
{
"text": "sample text",
"originator": "004712341234",
"gatewayid": "unknown",
"receiveddate": "2016-05-01",
"sentdate": "2016-05-01",
"smsencoding": "1",
"smsstatus": "1"
}
Inbound messages can be fetched using GET resourcef
GET /api/sms/inbound
GET /api/sms/inbound?fields=*&filter=smsstatus=INCOMING
Inbound messages can be deleted using DELETE resource
DELETE /api/sms/inbound/{uid}
DELETE /api/sms/inbound?ids=uid1,uid2
To import all un parsed messages
POST /api/sms/inbound/import
| Parameter | Type | Description |
|---|---|---|
| message | String | This is mandatory parameter which carries the actual text message. |
| originator | String | This is mandatory parameter which shows by whom this message was actually sent from. |
| gateway | String | This is an optional parameter which gives gateway id. If not present default text "UNKNOWN" will be stored |
| receiveTime | Date | This is an optional parameter. It is timestamp at which message was received at the gateway. |
The Web API exposes resources which provide a way to configure and update SMS gateway configurations.
The list of different gateways configured can be retrieved using a GET method.
GET /api/33/gateways
Configurations can also be retrieved for a specific gateway type using GET method.
GET /api/33/gateways/{uid}
New gateway configurations can be added using POST. POST api requires type request parameter and currently its value can have either one http,bulksms,clickatell,smpp. First added gateway will be set to default. Only one gateway is allowed to be default at one time. Default gateway can only be changed through its api. If default gateway is removed then the next one the list will automatically becomes default.
POST /api/33/gateways
Configuration can be updated with by providing uid and gateway configurations as mentioned below
PUT /api/33/gateways/{uids}
Configurations can be removed for specific gateway type using DELETE method.
DELETE /api/33/gateways/{uid}
Default gateway can be retrieved and updated.
GET /api/33/gateways/default
Default gateway can be set using the PUT method.
PUT /api/33/gateways/default/{uid}
The Web API lets you create and update gateway configurations. For each type of gateway there are different parameters in the JSON payload. Sample JSON payloads for each gateway are given below. POST is used to create and PUT to update configurations. Header parameter can be used in case of GenericHttpGateway to send one or more parameter as http header.
{
"type": "clickatell",
"name": "clickatell",
"username": "clickatelluser",
"authToken": "XXXXXXXXXXXXXXXXXXXX",
"urlTemplate": "https://platform.clickatell.com/messages"
}
{
"type": "bulksms",
"name": "bulkSMS",
"username": "bulkuser",
"password": "abc123"
}
{
"type": "smpp",
"name": "smpp gateway2",
"systemId": "smppclient1",
"host": "localhost",
"systemType": "cp",
"numberPlanIndicator": "UNKNOWN",
"typeOfNumber": "UNKNOWN",
"bindType": "BIND_TX",
"port": 2775,
"password": "password",
"compressed": false
}
{
"type": "http",
"name": "Generic",
"configurationTemplate": "username=${username}&password=${password}&to=${recipients}&countrycode=880&message=${text$}&messageid=0",
"useGet": false,
"sendUrlParameters": false,
"contentType": "APPLICATION_JSON",
"urlTemplate": "https://samplegateway.com/messages",
"parameters": [
{
"header": true,
"encode": false,
"key": "username",
"value": "user_uio",
"confidential": true
},
{
"header": true,
"encode": false,
"key": "password",
"value": "123abcxyz",
"confidential": true
},
{
"header": false,
"encode": false,
"key": "deliveryReport",
"value": "yes",
"confidential": false
}
],
"isDefault": false
}
In generic http gateway any number of parameters can be added.
| Parameter | Type | Description |
|---|---|---|
| name | String | name of the gateway |
| configurationTemplate | String | Configuration template which get populated with parameter values. For example configuration template given above will be populated like this { "to": "+27001234567", "body": "Hello World!"} |
| useGet | Boolean | Http POST nethod will be used by default. In order to change it and Http GET, user can set useGet flag to true. |
| contentType | String | Content type specify what type of data is being sent. Supported types are APPLICATION_JSON, APPLICATION_XML, FORM_URL_ENCODED, TEXT_PLAIN |
| urlTemplate | String | Url template |
| header | Boolean | If parameter needs to be sent in Http headers |
| encode | Boolean | If parameter needs to be encoded |
| key | String | parameter key |
| value | String | parameter value |
| confidential | Boolean | If parameter is confidential. This parameter will not be exposed through API |
| sendUrlParameters | Boolean | If this flag is checked then urlTemplate can be appended with query parameters. This is usefull if gateway API only support HTTP GET. Sample urlTemplate looks like this "urlTemplate":"https://samplegateway.com/messages?apiKey={apiKey}&to={recipients},content={text},deliveryreport={dp}" |
HTTP.OK will be returned if configurations are saved successfully otherwise Error
SMS commands are being used to collect data through SMS. These commands belong to specific parser type. Each parser has different functionality.
The list of commands can be retrieved using GET.
GET /api/smsCommands
One particular command can be retrieved using GET.
GET /api/smsCommands/uid
One particular command can be updated using PUT.
PUT /api/smsCommands/uid
Command can be created using POST.
POST /api/smsCommands
One particular command can be deleted using DELETE.
DELETE /api/smsCommands/uid
| Type | Usage |
|---|---|
| KEY_VALUE_PARSER | For aggregate data collection. |
| ALERT_PARSER | To send alert messages. |
| UNREGISTERED_PARSER | For disease surveillance case reporting. |
| TRACKED_ENTITY_REGISTRATION_PARSER | For tracker entity registration. |
| PROGRAM_STAGE_DATAENTRY_PARSER | Data collection for program stage. ( TEI is identified based on phoneNumner ) |
| EVENT_REGISTRATION_PARSER | Registration of single event. This is used for event programs. |
These command types can be used by the Android app for data submission via SMS when internet is unavailable. The SMS is composed by the Android app.
| Type | Usage |
|---|---|
| AGGREGATE_DATASET | For aggregate data collection. |
| ENROLLMENT | For tracker entity registration. |
| TRACKER_EVENT | Event registration for tracker programs. |
| SIMPLE_EVENT | Event registration for event programs. |
| RELATIONSHIP | To create relationships. |
| DELETE | To delete event. |
This section covers the user resource methods.
/api/33/users
The users resource offers additional query parameters beyond the standard parameters (e.g. paging). To query for users at the users resource you can use the following parameters.
| Parameter | Type | Description |
|---|---|---|
| query | Text | Query value for first name, surname, username and email, case in-sensitive. |
| phoneNumber | Text | Query for phone number. |
| canManage | false | true | Filter on whether the current user can manage the returned users through the managed user group relationships. |
| authSubset | false | true | Filter on whether the returned users have a subset of the authorities of the current user. |
| lastLogin | Date | Filter on users who have logged in later than the given date. |
| inactiveMonths | Number | Filter on users who have not logged in for the given number of months. |
| inactiveSince | Date | Filter on users who have not logged in later than the given date. |
| selfRegistered | false | true | Filter on users who have self-registered their user account. |
| invitationStatus | none | all | expired | Filter on user invitations, including all or expired invitations. |
| ou | Identifier | Filter on users who are associated with the organisation unit with the given identifier. |
| userOrgUnits | false | true | Filter on users who are associated with the organisation units linked to the currently logged in user. |
| includeChildren | false | true | Includes users from all children organisation units of the ou parameter. |
| page | Number | The page number. |
| pageSize | Number | The page size. |
A query for max 10 users with "konan" as first name or surname (case in-sensitive) who have a subset of authorities compared to the current user:
/api/33/users?query=konan&authSubset=true&pageSize=10
The user lookup API provides an endpoint for retrieving users where the response contains a minimal set of information. It does not require a specific authority and is suitable for allowing clients to look up information such as user first and surname, without exposing potentially sensitive user information.
/api/userLookup
The user lookup endpoint has two methods.
You can do a user lookup by identifier using the following API request.
GET /api/userLookup/{id}
The user id will be matched against the following user properties in the specified order:
An example request looks like this:
/api/userLookup/QqvaU7JjkUV
The response will contain minimal information about a user.
{
"id": "QqvaU7JjkUV",
"username": "nkono",
"firstName": "Thomas",
"surname": "Nkono",
"displayName": "Thomas Nkono"
}
You can make a query for users using the following API request.
GET /api/userLookup?query={string}
The query request parameter is mandatory. The query string will be matched against the following user properties:
An example request looks like this:
/api/userLookup?query=John
The response will contain information about the users matching the request.
{
"users": [
{
"id": "DXyJmlo9rge",
"username": "jbarnes",
"firstName": "John",
"surname": "Barnes",
"displayName": "John Barnes"
},
{
"id": "N3PZBUlN8vq",
"username": "jkamara",
"firstName": "John",
"surname": "Kamara",
"displayName": "John Kamara"
}
]
}
Creating and updating users are supported through the API. A basic payload to create a user looks like the below example. Note that the password will be sent in plain text so remember to enable SSL/HTTPS for network transport.
{
"id": "Mj8balLULKp",
"firstName": "John",
"surname": "Doe",
"email": "johndoe@mail.com",
"userCredentials": {
"id": "lWCkJ4etppc",
"userInfo": {
"id": "Mj8balLULKp"
},
"username": "johndoe123",
"password": "Your-password-123",
"skype": "john.doe",
"telegram": "joh.doe",
"whatsApp": "+1-541-754-3010",
"facebookMessenger": "john.doe",
"avatar": {
"id": "<fileResource id>"
},
"userRoles": [
{
"id": "Ufph3mGRmMo"
}
]
},
"organisationUnits": [
{
"id": "Rp268JB6Ne4"
}
],
"userGroups": [
{
"id": "wl5cDMuUhmF"
}
]
}
curl -X POST -d @u.json "http://server/api/33/users" -u user:pass
-H "Content-Type: application/json"
In the user creation payload, user groups are only supported when importing or POSTing a single user at a time. If you attempt to create more than one user while specifying user groups, you will not receive an error and the users will be created but no user groups will be assigned. This is by design and is limited because of the many-to-many relationship between users and user groups whereby user groups is the owner of the relationship. To update or create multiple users and their user groups, consider a program to POST one at a time, or POST all users followed by another action to update their user groups while specifying the new user's identifiers.
After the user is created, a Location header is sent back with the newly generated ID (you can also provide your own using the /api/system/id endpoint). The same payload can then be used to do updates, but remember to then use PUT instead of POST and the endpoint is now /api/users/ID.
curl -X PUT -d @u.json "http://server/api/33/users/ID" -u user:pass
-H "Content-Type: application/json"
For more info about the full payload available, please see /api/schemas/user.
For more info about uploading and retrieving user avatars, please see the /fileResources endpoint.
The Web API supports inviting people to create user accounts through the invite resource. To create an invitation you should POST a user in XML or JSON format to the invite resource. A specific username can be forced by defining the username in the posted entity. By omitting the username, the person will be able to specify it herself. The system will send out an invitation through email. This requires that email settings have been properly configured.
The invite resource is useful in order to securely allow people to create accounts without anyone else knowing the password or by transferring the password in plain text. The payload to use for the invite is the same as for creating users. An example payload in JSON looks like this:
{
"firstName": "John",
"surname": "Doe",
"email": "johndoe@mail.com",
"userCredentials": {
"username": "johndoe",
"userRoles": [
{
"id": "Euq3XfEIEbx"
}
]
},
"organisationUnits": [
{
"id": "ImspTQPwCqd"
}
],
"userGroups": [
{
"id": "vAvEltyXGbD"
}
]
}
The user invite entity can be posted like this:
curl -d @invite.json "localhost/api/33/users/invite" -u admin:district
-H "Content-Type:application/json"
To send out invites for multiple users at the same time you must use a slightly different format. For JSON:
{
"users": [
{
"firstName": "John",
"surname": "Doe",
"email": "johndoe@mail.com",
"userCredentials": {
"username": "johndoe",
"userRoles": [
{
"id": "Euq3XfEIEbx"
}
]
},
"organisationUnits": [
{
"id": "ImspTQPwCqd"
}
]
},
{
"firstName": "Tom",
"surname": "Johnson",
"email": "tomj@mail.com",
"userCredentials": {
"userRoles": [
{
"id": "Euq3XfEIEbx"
}
]
},
"organisationUnits": [
{
"id": "ImspTQPwCqd"
}
]
}
]
}
To create multiple invites you can post the payload to the api/users/invites resource like this:
curl -d @invites.json "localhost/api/33/users/invites" -u admin:district
-H "Content-Type:application/json"
There are certain requirements for user account invitations to be sent out:
Email SMTP server must be configured properly on the server.
The user to be invited must have specified a valid email.
If username is specified it must not be already taken by another existing user.
If any of these requirements are not met the invite resource will return with a 409 Conflict status code together with a descriptive message.
To replicate a user you can use the replica resource. Replicating a user can be useful when debugging or reproducing issues reported by a particular user. You need to provide a new username and password for the replicated user which you will use to authenticate later. Note that you need the ALL authority to perform this action. To replicate a user you can post a JSON payload looking like below:
{
"username": "user_replica",
"password": "SecretPassword"
}
This payload can be posted to the replica resource, where you provide the identifier of the user to replicate in the URL:
/api/33/users/<uid>/replica
An example of replicating a user using curl looks like this:
curl -d @replica.json "localhost/api/33/users/N3PZBUlN8vq/replica"
-H "Content-Type:application/json" -u admin:district
User accounts can be marked disabled. A disabled user can no longer log in.
To mark a user with UID tH7WIiIJ0O3 as disabled use (requires user with appropriate rights):
POST /api/36/users/tH7WIiIJ0O3/disabled
To enable a disabled user again use accordingly (requires user with appropriate rights):
POST /api/36/users/tH7WIiIJ0O3/enabled
An expiration date can be set for an user account. It marks the point in time from which the user account has expired and can no longer be used. Expired user can no longer log in.
To update the expiration date of user with UID tH7WIiIJ0O3 and set it to the date 2021-01-01 use (requires user with appropriate rights):
POST /api/36/users/tH7WIiIJ0O3/expired?date=2021-01-01
To unset the expiration date so that the account never expires use accordingly (requires user with appropriate rights):
POST /api/36/users/tH7WIiIJ0O3/unexpired
To see which data approval workflows and levels a user may access, you can use the dataApprovalWorkflows resource as follows:
GET /api/users/{id}/dataApprovalWorkflows
In order to get information about the currently authenticated user and its associations to other resources you can work with the me resource (you can also refer to it by its old name currentUser). The current user related resources gives your information which is useful when building clients for instance for data entry and user management. The following describes these resources and their purpose.
Provides basic information about the user that you are currently logged in as, including username, user credentials, assigned organisation units:
/api/me
Gives information about currently unread messages and interpretations:
/api/me/dashboard
In order to change password, this end point can be used to validate newly entered password. Password validation will be done based on PasswordValidationRules configured in the system. This end point support POST and password string should be sent in POST body.
/api/me/validatePassword
While changing password, this end point (support POST) can be used to verify old password. Password string should be sent in POST body.
/api/me/verifyPassword
Returns the set of authorities granted to the current user:
/api/me/authorization
Returns true or false, indicating whether the current user has been granted the given <auth> authorization:
/api/me/authorization/<auth>
Gives the data approval levels which are relevant to the current user:
/api/me/dataApprovalLevels
Gives the data approval workflows which are accessible to the current user. For each workflow, shows which data approval levels the user may see, and what permissions they have at each level:
/api/me/dataApprovalWorkflows
You can manipulate system settings by interacting with the systemSettings resource. A system setting is a simple key-value pair, where both the key and the value are plain text strings. To save or update a system setting you can make a POST request to the following URL:
/api/33/systemSettings/my-key?value=my-val
Alternatively, you can submit the setting value as the request body, where content type is set to "text/plain". As an example, you can use curl like this:
curl "play.dhis2.org/demo/api/33/systemSettings/my-key" -d "My long value"
-H "Content-Type: text/plain" -u admin:district
To set system settings in bulk you can send a JSON object with a property and value for each system setting key-value pair using a POST request:
{
"keyApplicationNotification": "Welcome",
"keyApplicationIntro": "DHIS2",
"keyApplicationFooter": "Read more at dhis2.org"
}
Translations for translatable Setting keys can be set by specifying locale as a query parameter and translated value which can be specified either as a query param or within the body payload. See an example URL:
/api/33/systemSettings/<my-key>?locale=<my-locale>&value=<my-translated-value>
You should replace my-key with your real key and my-val with your real value. To retrieve the value for a given key (in JSON or plain text) you can make a GET request to the following URL:
/api/33/systemSettings/my-key
Alternatively, you can specify the key as a query parameter:
/api/33/systemSettings?key=my-key
You can retrieve specific system settings as JSON by repeating the key query parameter:
curl "play.dhis2.org/demo/api/33/systemSettings?key=keyApplicationNotification&key=keyApplicationIntro"
-u admin:district
You can retrieve all system settings with a GET request:
/api/33/systemSettings
To retrieve a specific translation for a given translatable key you can specify a locale as query param:
/api/33/systemSettings/<my-key>?locale=<my-locale>
If present, the translation for the given locale is returned. Otherwise, a default value is returned. If no locale is specified for the translatable key, the user default UI locale is used to fetch the correct translation. If the given translation is not present, again, the default value is returned.
The priority for translatable keys is the following:
specified locale > user's default UI locale > default value
To delete a system setting, you can make a DELETE request to the URL similar to the one used above for retrieval. If a translatable key is used, all present translations will be deleted as well.
To delete only a specific translation of translatable key, the same URL as for adding a translation should be used and the empty value should be provided:
/api/33/systemSettings/<my-key>?locale=<my-locale>&value=
The available system settings are listed below.
| Key | Description | Translatable |
|---|---|---|
| keyUiLocale | Locale for the user interface | No |
| keyDbLocale | Locale for the database | No |
| keyAnalysisDisplayProperty | The property to display in analysis. Default: "name" | No |
| keyAnalysisDigitGroupSeparator | The separator used to separate digit groups | No |
| keyCurrentDomainType | Not yet in use | No |
| keyTrackerDashboardLayout | Used by tracker capture | No |
| applicationTitle | The application title. Default: "DHIS2" | Yes |
| keyApplicationIntro | The application introduction | Yes |
| keyApplicationNotification | Application notification | Yes |
| keyApplicationFooter | Application left footer | Yes |
| keyApplicationRightFooter | Application right footer | Yes |
| keyFlag | Application flag | No |
| keyFlagImage | Flag used in dashboard menu | No |
| startModule | The startpage of the application. Default: "dhis-web-dashboard-integration" | No |
| factorDeviation | Data analysis standard deviation factor. Default: "2d" | No |
| keyEmailHostName | Email server hostname | No |
| keyEmailPort | Email server port | No |
| keyEmailTls | Use TLS. Default: "true" | No |
| keyEmailSender | Email sender | No |
| keyEmailUsername | Email server username | No |
| keyEmailPassword | Email server password | No |
| minPasswordLength | Minimum length of password | No |
| maxPasswordLength | Maximum length of password | No |
| keySmsSetting | SMS configuration | No |
| keyCacheStrategy | Cache strategy. Default: "CACHE_6AM_TOMORROW" | No |
| keyCacheability | PUBLIC or PRIVATE. Determines if proxy servers are allowed to cache data or not. | No |
| phoneNumberAreaCode | Phonenumber area code | No |
| multiOrganisationUnitForms | Enable multi-organisation unit forms. Default: "false" | No |
| keyConfig | No | |
| keyAccountRecovery | Enable user account recovery. Default: "false" | No |
| keyLockMultipleFailedLogins | Enable locking access after multiple failed logins | No |
| googleAnalyticsUA | Google Analytic UA key for tracking site-usage | No |
| credentialsExpires | Require user account password change. Default: "0" (Never) | No |
| credentialsExpiryAlert | Enable alert when credentials are close to expiration date | No |
| keySelfRegistrationNoRecaptcha | Do not require recaptcha for self registration. Default: "false" | No |
| recaptchaSecret | Google API recaptcha secret. Default: dhis2 play instance API secret, but this will only works on you local instance and not in production. | No |
| recaptchaSite | Google API recaptcha site. Default: dhis2 play instance API site, but this will only works on you local instance and not in production. | No |
| keyCanGrantOwnUserAuthorityGroups | Allow users to grant own user roles. Default: "false" | No |
| keySqlViewMaxLimit | Max limit for SQL view | No |
| keyRespectMetaDataStartEndDatesInAnalyticsTableExport | When "true", analytics will skip data not within category option's start and end dates. Default: "false" | No |
| keySkipDataTypeValidationInAnalyticsTableExport | Skips data type validation in analytics table export | No |
| keyCustomLoginPageLogo | Logo for custom login page | No |
| keyCustomTopMenuLogo | Logo for custom top menu | No |
| keyCacheAnalyticsDataYearThreshold | Analytics data older than this value (in years) will always be cached. "0" disabled this setting. Default: 0 | No |
| keyCacheAnalyticsDataYearThreshold | Analytics data older than this value (in years) will always be cached. "0" disabled this setting. Default: 0 | No |
| analyticsFinancialYearStart | Set financial year start. Default: October | No |
| keyIgnoreAnalyticsApprovalYearThreshold | "0" check approval for all data. "-1" disable approval checking. "1" or higher checks approval for all data that is newer than "1" year. | No |
| keyAnalyticsMaxLimit | Maximum number of analytics records. Default: "50000" | No |
| keyAnalyticsMaintenanceMode | Put analytics in maintenance mode. Default: "false" | No |
| keyIncludeZeroValuesInAnalytics | Include zero data values in analytics tables. This only applies to data elements where the "zero is significant" property is enabled. Default: "false" | No |
| keyDatabaseServerCpus | Number of database server CPUs. Default: "0" (Automatic) | No |
| keyLastSuccessfulAnalyticsTablesRuntime | Keeps timestamp of last successful analytics tables run | No |
| keyLastSuccessfulLatestAnalyticsPartitionRuntime | Keeps timestamp of last successful latest analytics partition run | No |
| keyLastMonitoringRun | Keeps timestamp of last monitoring run | No |
| keyLastSuccessfulDataSynch | Keeps timestamp of last successful data values synchronization | No |
| keyLastSuccessfulEventsDataSynch | Keeps timestamp of last successful Event programs data synchronization | No |
| keyLastCompleteDataSetRegistrationSyncSuccess | Keeps timestamp of last successful completeness synchronization | No |
| syncSkipSyncForDataChangedBefore | Specifies timestamp used to skip synchronization of all the data changed before this point in time | No |
| keyLastSuccessfulAnalyticsTablesUpdate | Keeps timestamp of last successful analytics tables update | No |
| keyLastSuccessfulLatestAnalyticsPartitionUpdate | Keeps timestamp of last successful latest analytics partition update | No |
| keyLastSuccessfulResourceTablesUpdate | Keeps timestamp of last successful resource tables update | No |
| keyLastSuccessfulSystemMonitoringPush | Keeps timestamp of last successful system monitoring push | No |
| keyLastSuccessfulMonitoring | Keeps timestamp of last successful monitoring | No |
| keyNextAnalyticsTableUpdate | Keeps timestamp of next analytics table update | No |
| helpPageLink | Link to help page. Default: "https://dhis2.github.io/dhis2-docs/master/en/user/html/dhis2_user_manual_en.html | No |
| keyAcceptanceRequiredForApproval | Acceptance required before approval. Default: "false" | No |
| keySystemNotificationsEmail | Where to email system notifications | No |
| keyAnalysisRelativePeriod | Default relative period for analysis. Default: "LAST_12_MONTHS" | No |
| keyRequireAddToView | Require authority to add to view object lists. Default: "false" | No |
| keyAllowObjectAssignment | Allow assigning object to related objects during add or update. Default: "false" | No |
| keyUseCustomLogoFront | Enables the usage of a custom logo on the front page. Default: "false" | No |
| keyUseCustomLogoBanner | Enables the usage of a custom banner on the website. Default: "false" | No |
| keyDataImportStrictPeriods | No | |
| keyDataImportStrictPeriods | Require periods to match period type of data set. Default: "false" | No |
| keyDataImportStrictDataElements | Require data elements to be part of data set. Default: "false" | No |
| keyDataImportStrictCategoryOptionCombos | Require category option combos to match category combo of data element. Default: "false" | No |
| keyDataImportStrictOrganisationUnits | Require organisation units to match assignment of data set. Default: "false" | No |
| keyDataImportStrictAttributeOptionsCombos | Require attribute option combis to match category combo of data set. Default: "false" | No |
| keyDataImportRequireCategoryOptionCombo | Require category option combo to be specified. Default: "false" | No |
| keyDataImportRequireAttributeOptionCombo | Require attribute option combo to be specified. Default: "false" | No |
| keyCustomJs | Custom JavaScript to be used on the website | No |
| keyCustomCss | Custom CSS to be used on the website | No |
| keyCalendar | The calendar type. Default: "iso8601". | No |
| keyDateFormat | The format in which dates should be displayed. Default: "yyyy-MM-dd". | No |
| keyStyle | The style used on the DHIS2 webpages. Default: "light_blue/light_blue.css". | No |
| keyRemoteInstanceUrl | Url used to connect to remote instance | No |
| keyRemoteInstanceUsername | Username used to connect to remote DHIS2 instance | No |
| keyRemoteInstancePassword | Password used to connect to remote DHIS2 instance | No |
| keyGoogleMapsApiKey | Google Maps API key | No |
| keyGoogleCloudApiKey | Google Cloud API key | No |
| keyLastMetaDataSyncSuccess | Keeps timestamp of last successful metadata synchronization | No |
| keyVersionEnabled | Enables metadata versioning | No |
| keyMetadataFailedVersion | Keeps details about failed metadata version sync | No |
| keyMetadataLastFailedTime | Keeps timestamp of last metadata synchronization failure | No |
| keyLastSuccessfulScheduledProgramNotifications | No | |
| keyLastSuccessfulScheduledDataSetNotifications | No | |
| keyRemoteMetadataVersion | Details about metadata version of remote instance | No |
| keySystemMetadataVersion | Details about metadata version of the system | No |
| keyStopMetadataSync | Flag to stop metadata synchronization | No |
| keyFileResourceRetentionStrategy | Determines how long file resources associated with deleted or updated values are kept. NONE, THREE_MONTHS, ONE_YEAR, or FOREVER. | No |
| syncMaxRemoteServerAvailabilityCheckAttempts | Specifies how many times the availability of remote server will be checked before synchronization jobs fail. | No |
| syncMaxAttempts | Specifies max attempts for synchronization jobs | No |
| syncDelayBetweenRemoteServerAvailabilityCheckAttempts | Delay between remote server availability checks | No |
| lastSuccessfulDataStatistics | Keeps timestamp of last successful data analytics | No |
| keyHideDailyPeriods | Not in use | No |
| keyHideWeeklyPeriods | No | |
| keyHideMonthlyPeriods | No | |
| keyHideBiMonthlyPeriods | No | |
| keyGatherAnalyticalObjectStatisticsInDashboardViews | Whether to gather analytical statistics on objects when they are viewed within a dashboard | No |
| keyCountPassiveDashboardViewsInUsageAnalytics | Counts "passive" dashboard views (not selecting a particular dashboard) in usage analytics | No |
| keyDashboardContextMenuItemSwitchViewType | Allow users to switch dashboard favorites' view type | Yes |
| keyDashboardContextMenuItemOpenInRelevantApp | Allow users to open dashboard favorites in relevant apps | Yes |
| keyDashboardContextMenuItemShowInterpretationsAndDetails | Allow users to show dashboard favorites' interpretations and details | Yes |
| keyDashboardContextMenuItemViewFullscreen | Allow users to view dashboard favorites in fullscreen | Yes |
You can manipulate user settings by interacting with the userSettings resource. A user setting is a simple key-value pair, where both the key and the value are plain text strings. The user setting will be linked to the user who is authenticated for the Web API request. To return a list of all user settings, you can send a GET request to the following URL:
/api/33/userSettings
User settings not set by the user, will fall back to the equivalent system setting. To only return the values set explicitly by the user, you can append ?useFallback=false to the above URL, like this:
/api/33/userSettings?useFallback=false
To save or update a setting for the currently authenticated user you can make a POST request to the following URL:
/api/33/userSettings/my-key?value=my-val
You can specify the user for which to save the setting explicitly with this syntax:
/api/33/userSettings/my-key?user=username&value=my-val
Alternatively, you can submit the setting value as the request body, where content type is set to "text/plain". As an example, you can use curl like this:
curl "https://play.dhis2.org/demo/api/33/userSettings/my-key" -d "My long value"
-H "Content-Type: text/plain" -u admin:district
As an example, to set the UI locale of the current user to French you can use the following command.
curl "https://play.dhis2.org/demo/api/33/userSettings/keyUiLocale?value=fr"
-X POST -u admin:district
You should replace my-key with your real key and my-val with your real value. To retrieve the value for a given key in plain text you can make a GET request to the following URL:
/api/33/userSettings/my-key
To delete a user setting, you can make a DELETE request to the URL similar to the one used above for retrieval.
The available system settings are listed below.
| Key | Options | Description |
|---|---|---|
| keyStyle | light_blue/light_blue.css | green/green.css | vietnam/vietnam.css | User interface stylesheet. |
| keyMessageEmailNotification | false | true | Whether to send email notifications. |
| keyMessageSmsNotification | false | true | Whether to send SMS notifications. |
| keyUiLocale | Locale value | User interface locale. |
| keyDbLocale | Locale value | Database content locale. |
| keyAnalysisDisplayProperty | name | shortName | Property to display for metadata in analysis apps. |
| keyCurrentDomainType | all | aggregate | tracker | Data element domain type to display in lists. |
| keyAutoSaveCaseEntryForm | false | true | Save case entry forms periodically. |
| keyAutoSaveTrackedEntityForm | false | true | Save person registration forms periodically. |
| keyAutoSaveDataEntryForm | false | true | Save aggregate data entry forms periodically. |
| keyTrackerDashboardLayout | false | true | Tracker dashboard layout. |
To access configuration you can interact with the configuration resource. You can get XML and JSON responses through the Accept header or by using the .json or .xml extensions. You can GET all properties of the configuration from:
/api/33/configuration
You can send GET and POST requests to the following specific resources:
GET /api/33/configuration/systemId
GET POST DELETE /api/33/configuration/feedbackRecipients
GET POST DELETE /api/33/configuration/offlineOrganisationUnitLevel
GET POST /api/33/configuration/infrastructuralDataElements
GET POST /api/33/configuration/infrastructuralIndicators
GET POST /api/33/configuration/infrastructuralPeriodType
GET POST DELETE /api/33/configuration/selfRegistrationRole
GET POST DELETE /api/33/configuration/selfRegistrationOrgUnit
For the CORS whitelist configuration you can make a POST request with an array of URLs to whitelist as payload using "application/json" as content-type, for instance:
["www.google.com", "www.dhis2.org", "www.who.int"]
GET POST /api/33/configuration/corsWhitelist
For POST requests, the configuration value should be sent as the request payload as text. The following table shows appropriate configuration values for each property.
| Configuration property | Value |
|---|---|
| feedbackRecipients | User group ID |
| offlineOrganisationUnitLevel | Organisation unit level ID |
| infrastructuralDataElements | Data element group ID |
| infrastructuralIndicators | Indicator group ID |
| infrastructuralPeriodType | Period type name (e.g. "Monthly") |
| selfRegistrationRole | User role ID |
| selfRegistrationOrgUnit | Organisation unit ID |
| smtpPassword | SMTP email server password |
| remoteServerUrl | URL to remote server |
| remoteServerUsername | Username for remote server authentication |
| remoteServerPassword | Password for remote server authentication |
| corsWhitelist | JSON list of URLs |
As an example, to set the feedback recipients user group you can invoke the following curl command:
curl "localhost/api/33/configuration/feedbackRecipients" -d "wl5cDMuUhmF"
-H "Content-Type:text/plain"-u admin:district
To access all configuration settings and properties you can use the read-only configuration endpoint. This will provide read-only access to UserSettings, SystemSettings and DHIS2 server configurations You can get XML and JSON responses through the Accept header. You can GET all settings from:
/api/33/configuration/settings
You can get filtered settings based on setting type:
GET /api/33/configuration/settings/filter?type=USER_SETTING
GET /api/33/configuration/settings/filter?type=CONFIGURATION
More than one type can be provided:
GET /api/33/configuration/settings/filter?type=USER_SETTING&type=SYSTEM_SETTING
| Value | Description |
|---|---|
| USER_SETTING | To get user settings |
| SYSTEM_SETTING | To get system settings |
| CONFIGURATION | To get DHIS server settings |
Note
Fields which are confidential will be provided in the output but without values.
The tokens resource provides access tokens to various services.
You can retrieve a Google service account OAuth 2.0 access token with a GET request to the following resource.
GET /api/tokens/google
The token will be valid for a certain amount of time, after which another token must be requested from this resource. The response contains a cache control header which matches the token expiration. The response will contain the following properties in JSON format.
| Property | Description |
|---|---|
| access_token | The OAuth 2.0 access token to be used when authentication against Google services. |
| expires_in | The number of seconds until the access token expires, typically 3600 seconds (1 hour). |
| client_id | The Google service account client id. |
This assumes that a Google service account has been set up and configured for DHIS2. Please consult the installation guide for more info.
The staticContent resource allows you to upload and retrieve custom logos used in DHIS2. The resource lets the user upload a file with an associated key, which can later be retrieved using the key. Only PNG files are supported and can only be uploaded to the logo_banner and logo_front keys.
/api/33/staticContent
| Key | Description |
|---|---|
| logo_banner | Logo in the application top menu on the left side. |
| logo_front | Logo on the login-page above the login form. |
To upload a file, send the file with a POST request to:
POST /api/33/staticContent/<key>
Example request to upload logo.png to the logo_front key:
curl -F "file=@logo.png;type=image/png" "https://play.dhis2.org/demo/api/33/staticContent/logo_front"
-X POST -H "Content-Type: multipart/form-data" -u admin:district
Uploading multiple files with the same key will overwrite the existing file. This way, retrieving a file for any given key will only return the latest file uploaded.
To retrieve a logo, you can GET the following:
GET /api/33/staticContent/<key>
Example of requests to retrieve the file stored for logo_front:
curl "https://play.dhis2.org/demo/api/33/staticContent/logo_front"
-H "Accept: text/html" -L -u admin:district
curl "https://play.dhis2.org/demo/api/33/staticContent/logo_front"
-H "Accept: application/json" -L -u admin:district
Success and error messages will look like this:
{
"images": {
"png": "http://localhost:8080/dhis/api/staticContent/logo_front"
}
}
{
"httpStatus": "Not Found",
"httpStatusCode": 404,
"status": "ERROR",
"message": "No custom file found."
}
To use custom logos, you need to enable the corresponding system settings by setting it to true. If the corresponding setting is false, the default logo will be served.
To customize the UI of the DHIS2 application you can insert custom JavaScript and CSS styles through the files resource.
POST GET DELETE /api/33/files/script
POST GET DELETE /api/33/files/style
The JavaScript and CSS content inserted through this resource will be loaded by the DHIS2 web application. This can be particularly useful in certain situations:
Overriding the CSS styles of the DHIS2 application, such as the login page or main page.
Defining JavaScript functions which are common to several custom data entry forms and HTML-based reports.
Including CSS styles which are used in custom data entry forms and HTML-based reports.
To insert Javascript from a file called script.js you can interact with the files/script resource with a POST request:
curl --data-binary @script.js "localhost/api/33/files/script"
-H "Content-Type:application/javascript" -u admin:district
Note that we use the --data-binary option to preserve formatting of the file content. You can fetch the JavaScript content with a GET request:
/api/33/files/script
To remove the JavaScript content you can use a DELETE request.
To insert CSS from a file called style.css you can interact with the files/style resource with a POST-request:
curl --data-binary @style.css "localhost/api/33/files/style"
-H "Content-Type:text/css" -u admin:district
You can fetch the CSS content with a GET-request:
/api/33/files/style
To remove the JavaScript content you can use a DELETE request.
Tracker Web API consists of 3 endpoints that have full CRUD (create, read, update, delete) support. The 3 endpoints are /api/trackedEntityInstances, /api/enrollments and /api/events and they are responsible for tracked entity instance, enrollment and event items.
Tracked entity instances have full CRUD support in the API. Together with the API for enrollment most operations needed for working with tracked entity instances and programs are supported.
/api/33/trackedEntityInstances
For creating a new person in the system, you will be working with the trackedEntityInstances resource. A template payload can be seen below:
{
"trackedEntity": "tracked-entity-id",
"orgUnit": "org-unit-id",
"geometry": "<Geo JSON>",
"attributes": [
{
"attribute": "attribute-id",
"value": "attribute-value"
}
]
}
The field "geometry" accepts a GeoJson object, where the type of the GeoJson have to match the featureType of the TrackedEntityType definition. An example GeoJson object looks like this:
{
"type": "Point",
"coordinates": [1, 1]
}
The "coordinates" field was introduced in 2.29, and accepts a coordinate or a polygon as a value.
For getting the IDs for relationship and attributes you can have a look at the respective resources relationshipTypes, trackedEntityAttributes. To create a tracked entity instance you must use the HTTP POST method. You can post the payload the following URL:
/api/trackedEntityInstances
For example, let us create a new instance of a person tracked entity and specify its first name and last name attributes:
{
"trackedEntity": "nEenWmSyUEp",
"orgUnit": "DiszpKrYNg8",
"attributes": [
{
"attribute": "w75KJ2mc4zz",
"value": "Joe"
},
{
"attribute": "zDhUuAYrxNC",
"value": "Smith"
}
]
}
To push this to the server you can use the cURL command like this:
curl -d @tei.json "https://play.dhis2.org/demo/api/trackedEntityInstances" -X POST
-H "Content-Type: application/json" -u admin:district
To create multiple instances in one request you can wrap the payload in an outer array like this and POST to the same resource as above:
{
"trackedEntityInstances": [
{
"trackedEntity": "nEenWmSyUEp",
"orgUnit": "DiszpKrYNg8",
"attributes": [
{
"attribute": "w75KJ2mc4zz",
"value": "Joe"
},
{
"attribute": "zDhUuAYrxNC",
"value": "Smith"
}
]
},
{
"trackedEntity": "nEenWmSyUEp",
"orgUnit": "DiszpKrYNg8",
"attributes": [
{
"attribute": "w75KJ2mc4zz",
"value": "Jennifer"
},
{
"attribute": "zDhUuAYrxNC",
"value": "Johnson"
}
]
}
]
}
The system does not allow the creation of a tracked entity instance (as well as enrollment and event) with a UID that was already used in the system. That means that UIDs cannot be reused.
For updating a tracked entity instance, the payload is equal to the previous section. The difference is that you must use the HTTP PUT method for the request when sending the payload. You will also need to append the person identifier to the trackedEntityInstances resource in the URL like this, where <tracked-entity-instance-identifier> should be replaced by the identifier of the tracked entity instance:
/api/trackedEntityInstances/<tracked-entity-instance-id>
The payload has to contain all, even non-modified, attributes and relationships. Attributes or relationships that were present before and are not present in the current payload any more will be removed from the system. This means that if attributes/relationships are empty in the current payload, all existing attributes/relationships will be deleted from the system. From 2.31, it is possible to ignore empty attributes/relationships in the current payload. A request parameter of ignoreEmptyCollection set to true can be used in case you do not wish to send in any attributes/relationships and also do not want them to be deleted from the system.
It is not allowed to update an already deleted tracked entity instance. Also, it is not allowed to mark a tracked entity instance as deleted via an update request. The same rules apply to enrollments and events.
In order to delete a tracked entity instance, make a request to the URL identifying the tracked entity instance with the DELETE method. The URL is equal to the one above used for update.
It is also possible to both create (and update) a tracked entity instance and at the same time enroll into a program.
{
"trackedEntity": "tracked-entity-id",
"orgUnit": "org-unit-id",
"attributes": [
{
"attribute": "attribute-id",
"value": "attribute-value"
}
],
"enrollments": [
{
"orgUnit": "org-unit-id",
"program": "program-id",
"enrollmentDate": "2013-09-17",
"incidentDate": "2013-09-17"
},
{
"orgUnit": "org-unit-id",
"program": "program-id",
"enrollmentDate": "2013-09-17",
"incidentDate": "2013-09-17"
}
]
}
You would send this to the server as you would normally when creating or updating a new tracked entity instance.
curl -X POST -d @tei.json -H "Content-Type: application/json"
-u user:pass "http://server/api/33/trackedEntityInstances"
It is also possible to create (and update) a tracked entity instance, at the same time enroll into a program and create an event.
{
"trackedEntityType": "nEenWmSyUEp",
"orgUnit": "DiszpKrYNg8",
"attributes": [
{
"attribute": "w75KJ2mc4zz",
"value": "Joe"
},
{
"attribute": "zDhUuAYrxNC",
"value": "Rufus"
},
{
"attribute": "cejWyOfXge6",
"value": "Male"
}
],
"enrollments": [
{
"orgUnit": "DiszpKrYNg8",
"program": "ur1Edk5Oe2n",
"enrollmentDate": "2017-09-15",
"incidentDate": "2017-09-15",
"events": [
{
"program": "ur1Edk5Oe2n",
"orgUnit": "DiszpKrYNg8",
"eventDate": "2017-10-17",
"status": "COMPLETED",
"storedBy": "admin",
"programStage": "EPEcjy3FWmI",
"coordinate": {
"latitude": "59.8",
"longitude": "10.9"
},
"dataValues": [
{
"dataElement": "qrur9Dvnyt5",
"value": "22"
},
{
"dataElement": "oZg33kd9taw",
"value": "Male"
}
]
},
{
"program": "ur1Edk5Oe2n",
"orgUnit": "DiszpKrYNg8",
"eventDate": "2017-10-17",
"status": "COMPLETED",
"storedBy": "admin",
"programStage": "EPEcjy3FWmI",
"coordinate": {
"latitude": "59.8",
"longitude": "10.9"
},
"dataValues": [
{
"dataElement": "qrur9Dvnyt5",
"value": "26"
},
{
"dataElement": "oZg33kd9taw",
"value": "Female"
}
]
}
]
}
]
}
You would send this to the server as you would normally when creating or updating a new tracked entity instance.
curl -X POST -d @tei.json -H "Content-Type: application/json"
-u user:pass "http://server/api/33/trackedEntityInstances"
Tracked entity instance attributes that are using automatic generation of unique values have three endpoints that are used by apps. The endpoints are all used for generating and reserving values.
In 2.29 we introduced TextPattern for defining and generating these patterns. All existing patterns will be converted to a valid TextPattern when upgrading to 2.29.
Note
As of 2.29, all these endpoints will require you to include any variables reported by the
requiredValuesendpoint listed as required. Existing patterns, consisting of only#, will be upgraded to the new TextPattern syntaxRANDOM(<old-pattern>). The RANDOM segment of the TextPattern is not a required variable, so this endpoint will work as before for patterns defined before 2.29.
A TextPattern can contain variables that change based on different factors. Some of these factors will be unknown to the server, so the values for these variables have to be supplied when generating and reserving values.
This endpoint will return a map of required and optional values, that the server will inject into the TextPattern when generating new values. Required variables have to be supplied for the generation, but optional variables should only be supplied if you know what you are doing.
GET /api/33/trackedEntityAttributes/Gs1ICEQTPlG/requiredValues
{
"REQUIRED": ["ORG_UNIT_CODE"],
"OPTIONAL": ["RANDOM"]
}
Online web apps and other clients that want to generate a value that will be used right away can use the simple generate endpoint. This endpoint will generate a value that is guaranteed to be unique at the time of generation. The value is also guaranteed not to be reserved. As of 2.29, this endpoint will also reserve the value generated for 3 days.
If your TextPattern includes required values, you can pass them as parameters like the example below:
The expiration time can also be overridden at the time of generation, by adding the ?expiration=<number-of-days> to the request.
GET /api/33/trackedEntityAttributes/Gs1ICEQTPlG/generate?ORG_UNIT_CODE=OSLO
{
"ownerObject": "TRACKEDENTITYATTRIBUTE",
"ownerUid": "Gs1ICEQTPlG",
"key": "RANDOM(X)-OSL",
"value": "C-OSL",
"created": "2018-03-02T12:01:36.680",
"expiryDate": "2018-03-05T12:01:36.678"
}
The generate and reserve endpoint is used by offline clients that need to be able to register tracked entities with unique ids. They will reserve a number of unique ids that this device will then use when registering new tracked entity instances. The endpoint is called to retrieve a number of tracked entity instance reserved values. An optional parameter numberToReserve specifies how many ids to generate (default is 1).
If your TextPattern includes required values, you can pass them as parameters like the example below:
Similar to the /generate endpoint, this endpoint can also specify the expiration time in the same way. By adding the ?expiration=<number-of-days> you can override the default 60 days.
GET /api/33/trackedEntityAttributes/Gs1ICEQTPlG/generateAndReserve?numberToReserve=3&ORG_UNIT_CODE=OSLO
[
{
"ownerObject": "TRACKEDENTITYATTRIBUTE",
"ownerUid": "Gs1ICEQTPlG",
"key": "RANDOM(X)-OSL",
"value": "B-OSL",
"created": "2018-03-02T13:22:35.175",
"expiryDate": "2018-05-01T13:22:35.174"
},
{
"ownerObject": "TRACKEDENTITYATTRIBUTE",
"ownerUid": "Gs1ICEQTPlG",
"key": "RANDOM(X)-OSL",
"value": "Q-OSL",
"created": "2018-03-02T13:22:35.175",
"expiryDate": "2018-05-01T13:22:35.174"
},
{
"ownerObject": "TRACKEDENTITYATTRIBUTE",
"ownerUid": "Gs1ICEQTPlG",
"key": "RANDOM(X)-OSL",
"value": "S-OSL",
"created": "2018-03-02T13:22:35.175",
"expiryDate": "2018-05-01T13:22:35.174"
}
]
Reserved values are currently not accessible through the api, however, they are returned by the generate and generateAndReserve endpoints. The following table explains the properties of the reserved value object:
| Property | Description |
|---|---|
| ownerObject | The metadata type referenced when generating and reserving the value. Currently only TRACKEDENTITYATTRIBUTE is supported. |
| ownerUid | The uid of the metadata object referenced when generating and reserving the value. |
| key | A partially generated value where generated segments are not yet added. |
| value | The fully resolved value reserved. This is the value you send to the server when storing data. |
| created | The timestamp when the reservation was made |
| expiryDate | The timestamp when the reservation will no longer be reserved |
Expired reservations are removed daily. If a pattern changes, values that were already reserved will be accepted when storing data, even if they don't match the new pattern, as long as the reservation has not expired.
Working with image attributes is a lot like working with file data values. The value of an attribute with the image value type is the id of the associated file resource. A GET request to the /api/trackedEntityInstances/<entityId>/<attributeId>/image endpoint will return the actual image. The optional height and width parameters can be used to specify the dimensions of the image.
curl "http://server/api/33/trackedEntityInstances/ZRyCnJ1qUXS/zDhUuAYrxNC/image?height=200&width=200"
> image.jpg
The API also supports a dimension parameter. It can take three possible values: small (254x254), medium (512x512), large (1024x1024) or original. Image type attributes will be stored in pre-generated sizes and will be furnished upon request based on the value of the dimension parameter.
curl "http://server/api/33/trackedEntityInstances/ZRyCnJ1qUXS/zDhUuAYrxNC/image?dimension=medium"
To query for tracked entity instances you can interact with the /api/trackedEntityInstances resource.
/api/33/trackedEntityInstances
| Query parameter | Description |
|---|---|
| filter | Attributes to use as a filter for the query. Param can be repeated any number of times. Filters can be applied to a dimension on the format <attribute-id>:<operator>:<filter>[:<operator>:<filter>]. Filter values are case-insensitive and can be repeated together with operator any number of times. Operators can be EQ | GT | GE | LT | LE | NE | LIKE | IN. |
| ou | Organisation unit identifiers, separated by ";". |
| ouMode | The mode of selecting organisation units, can be SELECTED | CHILDREN | DESCENDANTS | ACCESSIBLE | CAPTURE | ALL. Default is SELECTED, which refers to the selected selected organisation units only. See table below for explanations. |
| program | Program identifier. Restricts instances to being enrolled in the given program. |
| programStatus | Status of the instance for the given program. Can be ACTIVE | COMPLETED | CANCELLED. |
| followUp | Follow up status of the instance for the given program. Can be true | false or omitted. |
| programStartDate | Start date of enrollment in the given program for the tracked entity instance. |
| programEndDate | End date of enrollment in the given program for the tracked entity instance. |
| trackedEntity | Tracked entity identifier. Restricts instances to the given tracked instance type. |
| page | The page number. Default page is 1. |
| pageSize | The page size. Default size is 50 rows per page. |
| totalPages | Indicates whether to include the total number of pages in the paging response (implies higher response time). |
| skipPaging | Indicates whether paging should be ignored and all rows should be returned. |
| lastUpdatedStartDate | Filter for events which were updated after this date. Cannot be used together with lastUpdatedDuration. |
| lastUpdatedEndDate | Filter for events which were updated up until this date. Cannot be used together with lastUpdatedDuration. |
| lastUpdatedDuration | Include only items which are updated within the given duration. The format is |
| assignedUserMode | Restricts result to tei with events assigned based on the assigned user selection mode, can be CURRENT | PROVIDED | NONE | ANY. |
| assignedUser | Filter the result down to a limited set of teis with events that are assigned to the given user IDs by using assignedUser=id1;id2.This parameter will be considered only if assignedUserMode is either PROVIDED or null. The API will error out, if for example, assignedUserMode=CURRENT and assignedUser=someId |
| trackedEntityInstance | Filter the result down to a limited set of teis using explicit uids of the tracked entity instances by using trackedEntityInstance=id1;id2. This parameter will at the very least create the outer boundary of the results, forming the list of all teis using the uids provided. If other parameters/filters from this table are used, they will further limit the results from the explicit outer boundary. |
The available organisation unit selection modes are explained in the following table.
| Mode | Description |
|---|---|
| SELECTED | Organisation units defined in the request. |
| CHILDREN | The selected organisation units and the immediate children, i.e. the organisation units at the level below. |
| DESCENDANTS | The selected organisation units and all children, i.e. all organisation units in the sub-hierarchy. |
| ACCESSIBLE | The data view organisation units associated with the current user and all children, i.e. all organisation units in the sub-hierarchy. Will fall back to data capture organisation units associated with the current user if the former is not defined. |
| CAPTURE | The data capture organisation units associated with the current user and all children, i.e. all organisation units in the sub-hierarchy. |
| ALL | All organisation units in the system. Requires the ALL authority. |
The query is case insensitive. The following rules apply to the query parameters.
At least one organisation unit must be specified using the ou parameter (one or many), or ouMode=ALL must be specified.
Only one of the program and trackedEntity parameters can be specified (zero or one).
If programStatus is specified then program must also be specified.
If followUp is specified then program must also be specified.
If programStartDate or programEndDate is specified then program must also be specified.
Filter items can only be specified once.
A query for all instances associated with a specific organisation unit can look like this:
/api/33/trackedEntityInstances.json?ou=DiszpKrYNg8
To query for instances using one attribute with a filter and one attribute without a filter, with one organisation unit using the descendant organisation unit query mode:
/api/33/trackedEntityInstances.json?filter=zHXD5Ve1Efw:EQ:A
&filter=AMpUYgxuCaE&ou=DiszpKrYNg8;yMCshbaVExv
A query for instances where one attribute is included in the response and one attribute is used as a filter:
/api/33/trackedEntityInstances.json?filter=zHXD5Ve1Efw:EQ:A
&filter=AMpUYgxuCaE:LIKE:Road&ou=DiszpKrYNg8
A query where multiple operand and filters are specified for a filter item:
api/33/trackedEntityInstances.json?ou=DiszpKrYNg8&program=ur1Edk5Oe2n
&filter=lw1SqmMlnfh:GT:150:LT:190
To query on an attribute using multiple values in an IN filter:
api/33/trackedEntityInstances.json?ou=DiszpKrYNg8
&filter=dv3nChNSIxy:IN:Scott;Jimmy;Santiago
To constrain the response to instances which are part of a specific program you can include a program query parameter:
api/33/trackedEntityInstances.json?filter=zHXD5Ve1Efw:EQ:A&ou=O6uvpzGd5pu
&ouMode=DESCENDANTS&program=ur1Edk5Oe2n
To specify program enrollment dates as part of the query:
api/33/trackedEntityInstances.json?filter=zHXD5Ve1Efw:EQ:A&ou=O6uvpzGd5pu
&program=ur1Edk5Oe2n&programStartDate=2013-01-01&programEndDate=2013-09-01
To constrain the response to instances of a specific tracked entity you can include a tracked entity query parameter:
api/33/trackedEntityInstances.json?filter=zHXD5Ve1Efw:EQ:A&ou=O6uvpzGd5pu
&ouMode=DESCENDANTS&trackedEntity=cyl5vuJ5ETQ
By default the instances are returned in pages of size 50, to change this you can use the page and pageSize query parameters:
api/33/trackedEntityInstances.json?filter=zHXD5Ve1Efw:EQ:A&ou=O6uvpzGd5pu
&ouMode=DESCENDANTS&page=2&pageSize=3
You can use a range of operators for the filtering:
| Operator | Description |
|---|---|
| EQ | Equal to |
| GT | Greater than |
| GE | Greater than or equal to |
| LT | Less than |
| LE | Less than or equal to |
| NE | Not equal to |
| LIKE | Like (free text match) |
| IN | Equal to one of multiple values separated by ";" |
This resource supports JSON, JSONP, XLS and CSV resource representations.
json (application/json)
jsonp (application/javascript)
xml (application/xml)
The response in JSON/XML is in object format and can look like the following. Please note that field filtering is supported, so if you want a full view, you might want to add fields=* to the query:
{
"trackedEntityInstances": [
{
"lastUpdated": "2014-03-28 12:27:52.399",
"trackedEntity": "cyl5vuJ5ETQ",
"created": "2014-03-26 15:40:19.997",
"orgUnit": "ueuQlqb8ccl",
"trackedEntityInstance": "tphfdyIiVL6",
"relationships": [],
"attributes": [
{
"displayName": "Address",
"attribute": "AMpUYgxuCaE",
"type": "string",
"value": "2033 Akasia St"
},
{
"displayName": "TB number",
"attribute": "ruQQnf6rswq",
"type": "string",
"value": "1Z 989 408 56 9356 521 9"
},
{
"displayName": "Weight in kg",
"attribute": "OvY4VVhSDeJ",
"type": "number",
"value": "68.1"
},
{
"displayName": "Email",
"attribute": "NDXw0cluzSw",
"type": "string",
"value": "LiyaEfrem@armyspy.com"
},
{
"displayName": "Gender",
"attribute": "cejWyOfXge6",
"type": "optionSet",
"value": "Female"
},
{
"displayName": "Phone number",
"attribute": "P2cwLGskgxn",
"type": "phoneNumber",
"value": "085 813 9447"
},
{
"displayName": "First name",
"attribute": "dv3nChNSIxy",
"type": "string",
"value": "Liya"
},
{
"displayName": "Last name",
"attribute": "hwlRTFIFSUq",
"type": "string",
"value": "Efrem"
},
{
"code": "Height in cm",
"displayName": "Height in cm",
"attribute": "lw1SqmMlnfh",
"type": "number",
"value": "164"
},
{
"code": "City",
"displayName": "City",
"attribute": "VUvgVao8Y5z",
"type": "string",
"value": "Kranskop"
},
{
"code": "State",
"displayName": "State",
"attribute": "GUOBQt5K2WI",
"type": "number",
"value": "KwaZulu-Natal"
},
{
"code": "Zip code",
"displayName": "Zip code",
"attribute": "n9nUvfpTsxQ",
"type": "number",
"value": "3282"
},
{
"code": "National identifier",
"displayName": "National identifier",
"attribute": "AuPLng5hLbE",
"type": "string",
"value": "465700042"
},
{
"code": "Blood type",
"displayName": "Blood type",
"attribute": "H9IlTX2X6SL",
"type": "string",
"value": "B-"
},
{
"code": "Latitude",
"displayName": "Latitude",
"attribute": "Qo571yj6Zcn",
"type": "string",
"value": "-30.659626"
},
{
"code": "Longitude",
"displayName": "Longitude",
"attribute": "RG7uGl4w5Jq",
"type": "string",
"value": "26.916172"
}
]
}
]
}
To query for tracked entity instances you can interact with the /api/trackedEntityInstances/grid resource. There are two types of queries: One where a query query parameter and optionally attribute parameters are defined, and one where attribute and filter parameters are defined. This endpoint uses a more compact "grid" format, and is an alternative to the query in the previous section.
/api/33/trackedEntityInstances/query
| Query parameter | Description |
|---|---|
| query | Query string. Attribute query parameter can be used to define which attributes to include in the response. If no attributes but a program is defined, the attributes from the program will be used. If no program is defined, all attributes will be used. There are two formats. The first is a plan query string. The second is on the format <operator>:<query>. Operators can be EQ | LIKE. EQ implies exact matches on words, LIKE implies partial matches on words. The query will be split on space, where each word will form a logical AND query. |
| attribute | Attributes to be included in the response. Can also be used as a filter for the query. Param can be repeated any number of times. Filters can be applied to a dimension on the format <attribute-id>:<operator>:<filter>[:<operator>:<filter>]. Filter values are case-insensitive and can be repeated together with operator any number of times. Operators can be EQ | GT | GE | LT | LE | NE | LIKE | IN. Filters can be omitted in order to simply include the attribute in the response without any constraints. |
| filter | Attributes to use as a filter for the query. Param can be repeated any number of times. Filters can be applied to a dimension on the format <attribute-id>:<operator>:<filter>[:<operator>:<filter>]. Filter values are case-insensitive and can be repeated together with operator any number of times. Operators can be EQ | GT | GE | LT | LE | NE | LIKE | IN. |
| ou | Organisation unit identifiers, separated by ";". |
| ouMode | The mode of selecting organisation units, can be SELECTED | CHILDREN | DESCENDANTS | ACCESSIBLE | ALL. Default is SELECTED, which refers to the selected organisation units only. See table below for explanations. |
| program | Program identifier. Restricts instances to being enrolled in the given program. |
| programStatus | Status of the instance for the given program. Can be ACTIVE | COMPLETED | CANCELLED. |
| followUp | Follow up status of the instance for the given program. Can be true | false or omitted. |
| programStartDate | Start date of enrollment in the given program for the tracked entity instance. |
| programEndDate | End date of enrollment in the given program for the tracked entity instance. |
| trackedEntity | Tracked entity identifier. Restricts instances to the given tracked instance type. |
| eventStatus | Status of any event associated with the given program and the tracked entity instance. Can be ACTIVE | COMPLETED | VISITED | SCHEDULED | OVERDUE | SKIPPED. |
| eventStartDate | Start date of event associated with the given program and event status. |
| eventEndDate | End date of event associated with the given program and event status. |
| programStage | The programStage for which the event related filters should be applied to. If not provided all stages will be considered. |
| skipMeta | Indicates whether meta data for the response should be included. |
| page | The page number. Default page is 1. |
| pageSize | The page size. Default size is 50 rows per page. |
| totalPages | Indicates whether to include the total number of pages in the paging response (implies higher response time). |
| skipPaging | Indicates whether paging should be ignored and all rows should be returned. |
| assignedUserMode | Restricts result to tei with events assigned based on the assigned user selection mode, can be CURRENT | PROVIDED | NONE | ANY. |
| assignedUser | Filter the result down to a limited set of teis with events that are assigned to the given user IDs by using assignedUser=id1;id2.This parameter will be considered only if assignedUserMode is either PROVIDED or null. The API will error out, if for example, assignedUserMode=CURRENT and assignedUser=someId |
| trackedEntityInstance | Filter the result down to a limited set of teis using explicit uids of the tracked entity instances by using trackedEntityInstance=id1;id2. This parameter will at the very least create the outer boundary of the results, forming the list of all teis using the uids provided. If other parameters/filters from this table are used, they will further limit the results from the explicit outer boundary. |
The available organisation unit selection modes are explained in the following table.
| Mode | Description |
|---|---|
| SELECTED | Organisation units defined in the request. |
| CHILDREN | Immediate children, i.e. only the first level below, of the organisation units defined in the request. |
| DESCENDANTS | All children, i.e. at only levels below, e.g. including children of children, of the organisation units defined in the request. |
| ACCESSIBLE | All descendants of the data view organisation units associated with the current user. Will fall back to data capture organisation units associated with the current user if the former is not defined. |
| CAPTURE | The data capture organisation units associated with the current user and all children, i.e. all organisation units in the sub-hierarchy. |
| ALL | All organisation units in the system. Requires authority. |
Note that you can specify "attribute" with filters or directly using the "filter" params for constraining the instances to return.
Certain rules apply to which attributes are returned.
If "query" is specified without any attributes or program, then all attributes that are marked as "Display in List without Program" is included in the response.
If program is specified, all the attributes linked to the program will be included in the response.
If tracked entity type is specified, then all tracked entity type attributes will be included in the response.
You can specify queries with words separated by space - in that situation the system will query for each word independently and return records where each word is contained in any attribute. A query item can be specified once as an attribute and once as a filter if needed. The query is case insensitive. The following rules apply to the query parameters.
At least one organisation unit must be specified using the ou parameter (one or many), or ouMode=ALL must be specified.
Only one of the program and trackedEntity parameters can be specified (zero or one).
If programStatus is specified then program must also be specified.
If followUp is specified then program must also be specified.
If programStartDate or programEndDate is specified then program must also be specified.
If eventStatus is specified then eventStartDate and eventEndDate must also be specified.
A query cannot be specified together with filters.
Attribute items can only be specified once.
Filter items can only be specified once.
A query for all instances associated with a specific organisation unit can look like this:
/api/33/trackedEntityInstances/query.json?ou=DiszpKrYNg8
A query on all attributes for a specific value and organisation unit, using an exact word match:
/api/33/trackedEntityInstances/query.json?query=scott&ou=DiszpKrYNg8
A query on all attributes for a specific value, using a partial word match:
/api/33/trackedEntityInstances/query.json?query=LIKE:scott&ou=DiszpKrYNg8
You can query on multiple words separated by the URL character for space which is %20, will use a logical AND query for each word:
/api/33/trackedEntityInstances/query.json?query=isabel%20may&ou=DiszpKrYNg8
A query where the attributes to include in the response are specified:
/api/33/trackedEntityInstances/query.json?query=isabel
&attribute=dv3nChNSIxy&attribute=AMpUYgxuCaE&ou=DiszpKrYNg8
To query for instances using one attribute with a filter and one attribute without a filter, with one organisation unit using the descendants organisation unit query mode:
/api/33/trackedEntityInstances/query.json?attribute=zHXD5Ve1Efw:EQ:A
&attribute=AMpUYgxuCaE&ou=DiszpKrYNg8;yMCshbaVExv
A query for instances where one attribute is included in the response and one attribute is used as a filter:
/api/33/trackedEntityInstances/query.json?attribute=zHXD5Ve1Efw:EQ:A
&filter=AMpUYgxuCaE:LIKE:Road&ou=DiszpKrYNg8
A query where multiple operand and filters are specified for a filter item:
/api/33/trackedEntityInstances/query.json?ou=DiszpKrYNg8&program=ur1Edk5Oe2n
&filter=lw1SqmMlnfh:GT:150:LT:190
To query on an attribute using multiple values in an IN filter:
/api/33/trackedEntityInstances/query.json?ou=DiszpKrYNg8
&attribute=dv3nChNSIxy:IN:Scott;Jimmy;Santiago
To constrain the response to instances which are part of a specific program you can include a program query parameter:
/api/33/trackedEntityInstances/query.json?filter=zHXD5Ve1Efw:EQ:A
&ou=O6uvpzGd5pu&ouMode=DESCENDANTS&program=ur1Edk5Oe2n
To specify program enrollment dates as part of the query:
/api/33/trackedEntityInstances/query.json?filter=zHXD5Ve1Efw:EQ:A
&ou=O6uvpzGd5pu&program=ur1Edk5Oe2n&programStartDate=2013-01-01
&programEndDate=2013-09-01
To constrain the response to instances of a specific tracked entity you can include a tracked entity query parameter:
/api/33/trackedEntityInstances/query.json?attribute=zHXD5Ve1Efw:EQ:A
&ou=O6uvpzGd5pu&ouMode=DESCENDANTS&trackedEntity=cyl5vuJ5ETQ
By default the instances are returned in pages of size 50, to change this you can use the page and pageSize query parameters:
/api/33/trackedEntityInstances/query.json?attribute=zHXD5Ve1Efw:EQ:A
&ou=O6uvpzGd5pu&ouMode=DESCENDANTS&page=2&pageSize=3
To query for instances which have events of a given status within a given time span:
/api/33/trackedEntityInstances/query.json?ou=O6uvpzGd5pu
&program=ur1Edk5Oe2n&eventStatus=LATE_VISIT
&eventStartDate=2014-01-01&eventEndDate=2014-09-01
You can use a range of operators for the filtering:
| Operator | Description |
|---|---|
| EQ | Equal to |
| GT | Greater than |
| GE | Greater than or equal to |
| LT | Less than |
| LE | Less than or equal to |
| NE | Not equal to |
| LIKE | Like (free text match) |
| IN | Equal to one of multiple values separated by ";" |
This resource supports JSON, JSONP, XLS and CSV resource representations.
json (application/json)
jsonp (application/javascript)
xml (application/xml)
csv (application/csv)
xls (application/vnd.ms-excel)
The response in JSON comes is in a tabular format and can look like the following. The headers section describes the content of each column. The instance, created, last updated, org unit and tracked entity columns are always present. The following columns correspond to attributes specified in the query. The rows section contains one row per instance.
{
"headers": [
{
"name": "instance",
"column": "Instance",
"type": "java.lang.String"
},
{
"name": "created",
"column": "Created",
"type": "java.lang.String"
},
{
"name": "lastupdated",
"column": "Last updated",
"type": "java.lang.String"
},
{
"name": "ou",
"column": "Org unit",
"type": "java.lang.String"
},
{
"name": "te",
"column": "Tracked entity",
"type": "java.lang.String"
},
{
"name": "zHXD5Ve1Efw",
"column": "Date of birth type",
"type": "java.lang.String"
},
{
"name": "AMpUYgxuCaE",
"column": "Address",
"type": "java.lang.String"
}
],
"metaData": {
"names": {
"cyl5vuJ5ETQ": "Person"
}
},
"width": 7,
"height": 7,
"rows": [
[
"yNCtJ6vhRJu",
"2013-09-08 21:40:28.0",
"2014-01-09 19:39:32.19",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"21 Kenyatta Road"
],
[
"fSofnQR6lAU",
"2013-09-08 21:40:28.0",
"2014-01-09 19:40:19.62",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"56 Upper Road"
],
[
"X5wZwS5lgm2",
"2013-09-08 21:40:28.0",
"2014-01-09 19:40:31.11",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"56 Main Road"
],
[
"pCbogmlIXga",
"2013-09-08 21:40:28.0",
"2014-01-09 19:40:45.02",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"12 Lower Main Road"
],
[
"WnUXrY4XBMM",
"2013-09-08 21:40:28.0",
"2014-01-09 19:41:06.97",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"13 Main Road"
],
[
"xLNXbDs9uDF",
"2013-09-08 21:40:28.0",
"2014-01-09 19:42:25.66",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"14 Mombasa Road"
],
[
"foc5zag6gbE",
"2013-09-08 21:40:28.0",
"2014-01-09 19:42:36.93",
"DiszpKrYNg8",
"cyl5vuJ5ETQ",
"A",
"15 Upper Hill"
]
]
}
To create, read, update and delete tracked entity instance filters you can interact with the /api/trackedEntityInstanceFilters resource.
/api/33/trackedEntityInstanceFilters
For creating and updating a tracked entity instance filter in the system, you will be working with the trackedEntityInstanceFilters resource. The tracked entity instance filter definitions are used in the Tracker Capture app to display relevant predefined "Working lists" in the tracker user interface.
| Payload values | Description | Example |
|---|---|---|
| name | Name of the filter. Required. | |
| description | A description of the filter. | |
| sortOrder | The sort order of the filter. Used in Tracker Capture to order the filters in the program dashboard. | |
| style | Object containing css style. | ( "color": "blue", "icon": "fa fa-calendar"} |
| program | Object containing the id of the program. Required. | { "id" : "uy2gU8kTjF"} |
| enrollmentStatus | The TEIs enrollment status. Can be none(any enrollmentstatus) or ACTIVE|COMPLETED|CANCELED | |
| followup | When this parameter is true, the filter only returns TEIs that have an enrollment with status followup. | |
| enrollmentCreatedPeriod | Period object containing a period in which the enrollment must be created. See Period definition table below. | { "periodFrom": -15, "periodTo": 15} |
| eventFilters | A list of eventFilters. See Event filters definition table below. | [{"programStage": "eaDH9089uMp", "eventStatus": "OVERDUE", "eventCreatedPeriod": {"periodFrom": -15, "periodTo": 15}}] |
| programStage | Which programStage the TEI needs an event in to be returned. | "eaDH9089uMp" |
| eventStatus | The events status. Can be none(any event status) or ACTIVE|COMPLETED|SCHEDULED|OVERDUE | ACTIVE |
| eventCreatedPeriod | Period object containing a period in which the event must be created. See Period definition below. | { "periodFrom": -15, "periodTo": 15} |
| assignedUserMode | To specify the assigned user selection mode for events. Possible values are CURRENT (events assigned to current user)| PROVIDED (events assigned to users provided in "assignedUsers" list) | NONE (events assigned to no one) | ANY (events assigned to anyone). If PROVIDED (or null), non-empty assignedUsers in the payload will be considered. | "assignedUserMode": "PROVIDED" |
| assignedUsers | To specify a list of assigned users for events. To be used along with PROVIDED assignedUserMode above. | "assignedUsers": ["a3kGcGDCuk7", "a3kGcGDCuk8"] |
| periodFrom | Number of days from current day. Can be positive or negative integer. | -15 |
| periodTo | Number of days from current day. Must be bigger than periodFrom. Can be positive or negative integer. | 15 |
To query for tracked entity instance filters in the system, you can interact with the /api/trackedEntityInstanceFilters resource.
| Query parameter | Description |
|---|---|
| program | Program identifier. Restricts filters to the given program. |
Enrollments have full CRUD support in the API. Together with the API for tracked entity instances most operations needed for working with tracked entity instances and programs are supported.
/api/33/enrollments
For enrolling persons into a program, you will need to first get the identifier of the person from the trackedEntityInstances resource. Then, you will need to get the program identifier from the programs resource. A template payload can be seen below:
{
"trackedEntityInstance": "ZRyCnJ1qUXS",
"orgUnit": "ImspTQPwCqd",
"program": "S8uo8AlvYMz",
"enrollmentDate": "2013-09-17",
"incidentDate": "2013-09-17"
}
This payload should be used in a POST request to the enrollments resource identified by the following URL:
/api/33/enrollments
For cancelling or completing an enrollment, you can make a PUT request to the enrollments resource, including the identifier and the action you want to perform. For cancelling an enrollment for a tracked entity instance:
/api/33/enrollments/<enrollment-id>/cancelled
For completing an enrollment for a tracked entity instance you can make a PUT request to the following URL:
/api/33/enrollments/<enrollment-id>/completed
For deleting an enrollment, you can make a DELETE request to the following URL:
/api/33/enrollments/<enrollment-id>
To query for enrollments you can interact with the /api/enrollments resource.
/api/33/enrollments
| Query parameter | Description |
|---|---|
| ou | Organisation unit identifiers, separated by ";". |
| ouMode | The mode of selecting organisation units, can be SELECTED | CHILDREN | DESCENDANTS | ACCESSIBLE | CAPTURE | ALL. Default is SELECTED, which refers to the selected organisation units only. See table below for explanations. |
| program | Program identifier. Restricts instances to being enrolled in the given program. |
| programStatus | Status of the instance for the given program. Can be ACTIVE | COMPLETED | CANCELLED. |
| followUp | Follow up status of the instance for the given program. Can be true | false or omitted. |
| programStartDate | Start date of enrollment in the given program for the tracked entity instance. |
| programEndDate | End date of enrollment in the given program for the tracked entity instance. |
| lastUpdatedDuration | Include only items which are updated within the given duration. The format is |
| trackedEntity | Tracked entity identifier. Restricts instances to the given tracked instance type. |
| trackedEntityInstance | Tracked entity instance identifier. Should not be used together with trackedEntity. |
| page | The page number. Default page is 1. |
| pageSize | The page size. Default size is 50 rows per page. |
| totalPages | Indicates whether to include the total number of pages in the paging response (implies higher response time). |
| skipPaging | Indicates whether paging should be ignored and all rows should be returned. |
| includeDeleted | Indicates whether to include soft deleted enrollments or not. It is false by default. |
The available organisation unit selection modes are explained in the following table.
| Mode | Description |
|---|---|
| SELECTED | Organisation units defined in the request (default). |
| CHILDREN | Immediate children, i.e. only the first level below, of the organisation units defined in the request. |
| DESCENDANTS | All children, i.e. at only levels below, e.g. including children of children, of the organisation units defined in the request. |
| ACCESSIBLE | All descendants of the data view organisation units associated with the current user. Will fall back to data capture organisation units associated with the current user if the former is not defined. |
| ALL | All organisation units in the system. Requires authority. |
The query is case insensitive. The following rules apply to the query parameters.
At least one organisation unit must be specified using the ou parameter (one or many), or ouMode=ALL must be specified.
Only one of the program and trackedEntity parameters can be specified (zero or one).
If programStatus is specified then program must also be specified.
If followUp is specified then program must also be specified.
If programStartDate or programEndDate is specified then program must also be specified.
A query for all enrollments associated with a specific organisation unit can look like this:
/api/33/enrollments.json?ou=DiszpKrYNg8
To constrain the response to enrollments which are part of a specific program you can include a program query parameter:
/api/33/enrollments.json?ou=O6uvpzGd5pu&ouMode=DESCENDANTS&program=ur1Edk5Oe2n
To specify program enrollment dates as part of the query:
/api/33/enrollments.json?&ou=O6uvpzGd5pu&program=ur1Edk5Oe2n
&programStartDate=2013-01-01&programEndDate=2013-09-01
To constrain the response to enrollments of a specific tracked entity you can include a tracked entity query parameter:
/api/33/enrollments.json?ou=O6uvpzGd5pu&ouMode=DESCENDANTS&trackedEntity=cyl5vuJ5ETQ
To constrain the response to enrollments of a specific tracked entity instance you can include a tracked entity instance query parameter, in this case we have restricted it to available enrollments viewable for current user:
/api/33/enrollments.json?ouMode=ACCESSIBLE&trackedEntityInstance=tphfdyIiVL6
By default the enrollments are returned in pages of size 50, to change this you can use the page and pageSize query parameters:
/api/33/enrollments.json?ou=O6uvpzGd5pu&ouMode=DESCENDANTS&page=2&pageSize=3
This resource supports JSON, JSONP, XLS and CSV resource representations.
json (application/json)
jsonp (application/javascript)
xml (application/xml)
The response in JSON/XML is in object format and can look like the following. Please note that field filtering is supported, so if you want a full view, you might want to add fields=* to the query:
{
"enrollments": [
{
"lastUpdated": "2014-03-28T05:27:48.512+0000",
"trackedEntity": "cyl5vuJ5ETQ",
"created": "2014-03-28T05:27:48.500+0000",
"orgUnit": "DiszpKrYNg8",
"program": "ur1Edk5Oe2n",
"enrollment": "HLFOK0XThjr",
"trackedEntityInstance": "qv0j4JBXQX0",
"followup": false,
"enrollmentDate": "2013-05-23T05:27:48.490+0000",
"incidentDate": "2013-05-10T05:27:48.490+0000",
"status": "ACTIVE"
}
]
}
This section is about sending and reading events.
/api/33/events
DHIS2 supports three kinds of events: single events with no registration (also referred to as anonymous events), single event with registration and multiple events with registration. Registration implies that the data is linked to a tracked entity instance which is identified using some sort of identifier.
To send events to DHIS2 you must interact with the events resource. The approach to sending events is similar to sending aggregate data values. You will need a program which can be looked up using the programs resource, an orgUnit which can be looked up using the organisationUnits resource, and a list of valid data element identifiers which can be looked up using the dataElements resource. For events with registration, a tracked entity instance identifier is required, read about how to get this in the section about the trackedEntityInstances resource. For sending events to programs with multiple stages, you will need to also include the programStage identifier, the identifiers for programStages can be found in the programStages resource.
A simple single event with no registration example payload in XML format where we send events from the "Inpatient morbidity and mortality" program for the "Ngelehun CHC" facility in the demo database can be seen below:
<?xml version="1.0" encoding="utf-8"?>
<event program="eBAyeGv0exc" orgUnit="DiszpKrYNg8"
eventDate="2013-05-17" status="COMPLETED" storedBy="admin">
<coordinate latitude="59.8" longitude="10.9" />
<dataValues>
<dataValue dataElement="qrur9Dvnyt5" value="22" />
<dataValue dataElement="oZg33kd9taw" value="Male" />
<dataValue dataElement="msodh3rEMJa" value="2013-05-18" />
</dataValues>
</event>
To perform some testing we can save the XML payload as a file called event.xml and send it as a POST request to the events resource in the API using curl with the following command:
curl -d @event.xml "https://play.dhis2.org/demo/api/33/events"
-H "Content-Type:application/xml" -u admin:district
The same payload in JSON format looks like this:
{
"program": "eBAyeGv0exc",
"orgUnit": "DiszpKrYNg8",
"eventDate": "2013-05-17",
"status": "COMPLETED",
"completedDate": "2013-05-18",
"storedBy": "admin",
"coordinate": {
"latitude": 59.8,
"longitude": 10.9
},
"dataValues": [
{
"dataElement": "qrur9Dvnyt5",
"value": "22"
},
{
"dataElement": "oZg33kd9taw",
"value": "Male"
},
{
"dataElement": "msodh3rEMJa",
"value": "2013-05-18"
}
]
}
To send this you can save it to a file called event.json and use curl like this:
curl -d @event.json "localhost/api/33/events" -H "Content-Type:application/json"
-u admin:district
We also support sending multiple events at the same time. A payload in XML format might look like this:
<?xml version="1.0" encoding="utf-8"?>
<events>
<event program="eBAyeGv0exc" orgUnit="DiszpKrYNg8"
eventDate="2013-05-17" status="COMPLETED" storedBy="admin">
<coordinate latitude="59.8" longitude="10.9" />
<dataValues>
<dataValue dataElement="qrur9Dvnyt5" value="22" />
<dataValue dataElement="oZg33kd9taw" value="Male" />
</dataValues>
</event>
<event program="eBAyeGv0exc" orgUnit="DiszpKrYNg8"
eventDate="2013-05-17" status="COMPLETED" storedBy="admin">
<coordinate latitude="59.8" longitude="10.9" />
<dataValues>
<dataValue dataElement="qrur9Dvnyt5" value="26" />
<dataValue dataElement="oZg33kd9taw" value="Female" />
</dataValues>
</event>
</events>
You will receive an import summary with the response which can be inspected in order to get information about the outcome of the request, like how many values were imported successfully. The payload in JSON format looks like this:
{
"events": [
{
"program": "eBAyeGv0exc",
"orgUnit": "DiszpKrYNg8",
"eventDate": "2013-05-17",
"status": "COMPLETED",
"storedBy": "admin",
"coordinate": {
"latitude": "59.8",
"longitude": "10.9"
},
"dataValues": [
{
"dataElement": "qrur9Dvnyt5",
"value": "22"
},
{
"dataElement": "oZg33kd9taw",
"value": "Male"
}
]
},
{
"program": "eBAyeGv0exc",
"orgUnit": "DiszpKrYNg8",
"eventDate": "2013-05-17",
"status": "COMPLETED",
"storedBy": "admin",
"coordinate": {
"latitude": "59.8",
"longitude": "10.9"
},
"dataValues": [
{
"dataElement": "qrur9Dvnyt5",
"value": "26"
},
{
"dataElement": "oZg33kd9taw",
"value": "Female"
}
]
}
]
}
You can also use GeoJson to store any kind of geometry on your event. An example payload using GeoJson instead of the former latitude and longitude properties can be seen here:
{
"program": "eBAyeGv0exc",
"orgUnit": "DiszpKrYNg8",
"eventDate": "2013-05-17",
"status": "COMPLETED",
"storedBy": "admin",
"geometry": {
"type": "POINT",
"coordinates": [59.8, 10.9]
},
"dataValues": [
{
"dataElement": "qrur9Dvnyt5",
"value": "22"
},
{
"dataElement": "oZg33kd9taw",
"value": "Male"
},
{
"dataElement": "msodh3rEMJa",
"value": "2013-05-18"
}
]
}
As part of the import summary you will also get the identifier reference to the event you just sent, together with a href element which points to the server location of this event. The table below describes the meaning of each element.
| Parameter | Type | Required | Options (default first) | Description |
|---|---|---|---|---|
| program | string | true | Identifier of the single event with no registration program | |
| orgUnit | string | true | Identifier of the organisation unit where the event took place | |
| eventDate | date | true | The date of when the event occurred | |
| completedDate | date | false | The date of when the event is completed. If not provided, the current date is selected as the event completed date | |
| status | enum | false | ACTIVE | COMPLETED | VISITED | SCHEDULE | OVERDUE | SKIPPED | Whether the event is complete or not |
| storedBy | string | false | Defaults to current user | Who stored this event (can be username, system-name, etc) |
| coordinate | double | false | Refers to where the event took place geographically (latitude and longitude) | |
| dataElement | string | true | Identifier of data element | |
| value | string | true | Data value or measure for this event |
By default the orgUnit parameter will match on the ID, you can also select the orgUnit id matching scheme by using the parameter orgUnitIdScheme=SCHEME, where the options are: ID, UID, UUID, CODE, and NAME. There is also the ATTRIBUTE: scheme, which matches on a unique metadata attribute value.
To update an existing event, the format of the payload is the same, but the URL you are posting to must add the identifier to the end of the URL string and the request must be PUT.
The payload has to contain all, even non-modified, attributes. Attributes that were present before and are not present in the current payload any more will be removed by the system.
It is not allowed to update an already deleted event. The same applies to tracked entity instance and enrollment.
curl -X PUT -d @updated_event.xml "localhost/api/33/events/ID"
-H "Content-Type: application/xml" -u admin:district
curl -X PUT -d @updated_event.json "localhost/api/33/events/ID"
-H "Content-Type: application/json" -u admin:district
To delete an existing event, all you need is to send a DELETE request with an identifier reference to the server you are using.
curl -X DELETE "localhost/api/33/events/ID" -u admin:district
A user can be assigned to an event. This can be done by including the appropriate property in the payload when updating or creating the event.
"assignedUser": "<id>"
The id refers to the if of the user. Only one user can be assigned to an event at a time.
User assignment must be enabled in the program stage before users can be assigned to events.
To get an existing event you can issue a GET request including the identifier like this:
curl "http://localhost/api/33/events/ID" -H "Content-Type: application/xml" -u admin:district
This section explains how to read out the events that have been stored in the DHIS2 instance. For more advanced uses of the event data, please see the section on event analytics. The output format from the /api/events endpoint will match the format that is used to send events to it (which the analytics event api does not support). Both XML and JSON are supported, either through adding .json/.xml or by setting the appropriate Accept header. The query is paged by default and the default page size is 50 events, field filtering works as it does for metadata, add the fields parameter and include your wanted properties, i.e. ?fields=program,status.
| Key | Type | Required | Description |
|---|---|---|---|
| program | identifier | true (if not programStage is provided) | Identifier of program |
| programStage | identifier | false | Identifier of program stage |
| programStatus | enum | false | Status of event in program, ca be ACTIVE | COMPLETED | CANCELLED |
| followUp | boolean | false | Whether event is considered for follow up in program, can be true | false or omitted. |
| trackedEntityInstance | identifier | false | Identifier of tracked entity instance |
| orgUnit | identifier | true | Identifier of organisation unit |
| ouMode | enum | false | Org unit selection mode, can be SELECTED | CHILDREN | DESCENDANTS |
| startDate | date | false | Only events newer than this date |
| endDate | date | false | Only events older than this date |
| status | enum | false | Status of event, can be ACTIVE | COMPLETED | VISITED | SCHEDULED | OVERDUE | SKIPPED |
| lastUpdatedStartDate | date | false | Filter for events which were updated after this date. Cannot be used together with lastUpdatedDuration. |
| lastUpdatedEndDate | date | false | Filter for events which were updated up until this date. Cannot be used together with lastUpdatedDuration. |
| lastUpdatedDuration | string | false | Include only items which are updated within the given duration. The format is |
| skipMeta | boolean | false | Exclude the meta data part of response (improves performance) |
| page | integer | false | Page number |
| pageSize | integer | false | Number of items in each page |
| totalPages | boolean | false | Indicates whether to include the total number of pages in the paging response. |
| skipPaging | boolean | false | Indicates whether to skip paging in the query and return all events. |
| dataElementIdScheme | string | false | Data element ID scheme to use for export, valid options are UID, CODE and ATTRIBUTE:{ID} |
| categoryOptionComboIdScheme | string | false | Category Option Combo ID scheme to use for export, valid options are UID, CODE and ATTRIBUTE:{ID} |
| orgUnitIdScheme | string | false | Organisation Unit ID scheme to use for export, valid options are UID, CODE and ATTRIBUTE:{ID} |
| programIdScheme | string | false | Program ID scheme to use for export, valid options are UID, CODE and ATTRIBUTE:{ID} |
| programStageIdScheme | string | false | Program Stage ID scheme to use for export, valid options are UID, CODE and ATTRIBUTE:{ID} |
| idScheme | string | false | Allows to set id scheme for data element, category option combo, orgUnit, program and program stage at once. |
| order | string | false | The order of which to retrieve the events from the API. Usage: order=<property>:asc/desc - Ascending order is default. Properties: event | program | programStage | enrollment | enrollmentStatus | orgUnit | orgUnitName | trackedEntityInstance | eventDate | followup | status | dueDate | storedBy | created | lastUpdated | completedBy | completedDate |
| event | comma delimited string | false | Filter the result down to a limited set of IDs by using event=id1;id2. |
| skipEventId | boolean | false | Skips event identifiers in the response |
| attributeCc (**) | string | false | Attribute category combo identifier (must be combined with attributeCos) |
| attributeCos (**) | string | false | Attribute category option identifiers, separated with ; (must be combined with attributeCc) |
| async | false | true | false | Indicates whether the import should be done asynchronous or synchronous. |
| includeDeleted | boolean | false | When true, soft deleted events will be included in your query result. |
| assignedUserMode | enum | false | Assigned user selection mode, can be CURRENT | PROVIDED | NONE | ANY. |
| assignedUser | comma delimited strings | false | Filter the result down to a limited set of events that are assigned to the given user IDs by using assignedUser=id1;id2. This parameter will be considered only if assignedUserMode is either PROVIDED or null. The API will error out, if for example, assignedUserMode=CURRENT and assignedUser=someId |
Note
If the query contains neither
attributeCCnorattributeCos, the server returns events for all attribute option combos where the user has read access.
Query for all events with children of a certain organisation unit:
/api/29/events.json?orgUnit=YuQRtpLP10I&ouMode=CHILDREN
Query for all events with all descendants of a certain organisation unit, implying all organisation units in the sub-hierarchy:
/api/33/events.json?orgUnit=O6uvpzGd5pu&ouMode=DESCENDANTS
Query for all events with a certain program and organisation unit:
/api/33/events.json?orgUnit=DiszpKrYNg8&program=eBAyeGv0exc
Query for all events with a certain program and organisation unit, sorting by due date ascending:
/api/33/events.json?orgUnit=DiszpKrYNg8&program=eBAyeGv0exc&order=dueDate
Query for the 10 events with the newest event date in a certain program and organisation unit - by paging and ordering by due date descending:
/api/33/events.json?orgUnit=DiszpKrYNg8&program=eBAyeGv0exc
&order=eventDate:desc&pageSize=10&page=1
Query for all events with a certain program and organisation unit for a specific tracked entity instance:
/api/33/events.json?orgUnit=DiszpKrYNg8
&program=eBAyeGv0exc&trackedEntityInstance=gfVxE3ALA9m
Query for all events with a certain program and organisation unit older or equal to 2014-02-03:
/api/33/events.json?orgUnit=DiszpKrYNg8&program=eBAyeGv0exc&endDate=2014-02-03
Query for all events with a certain program stage, organisation unit and tracked entity instance in the year 2014:
/api/33/events.json?orgUnit=DiszpKrYNg8&program=eBAyeGv0exc
&trackedEntityInstance=gfVxE3ALA9m&startDate=2014-01-01&endDate=2014-12-31
Query files associated with event data values. In the specific case of fetching an image file an additional parameter can be provided to fetch the image with different dimensions. If dimension is not provided, the system will return the original image. The parameter will be ignored in case of fetching non-image files e.g pdf. Possible dimension values are small(254 x 254), medium(512 x 512), large(1024 x 1024) or original. Any value other than those mentioned will be discarded and the original image will be returned.
/api/33/events/files?eventUid=hcmcWlYkg9u&dataElementUid=C0W4aFuVm4P&dimension=small
Retrieve events with specified Organisation unit and Program, and use Attribute:Gq0oWTf2DtN as identifier scheme
/api/events?orgUnit=DiszpKrYNg8&program=lxAQ7Zs9VYR&idScheme=Attribute:Gq0oWTf2DtN
Retrieve events with specified Organisation unit and Program, and use UID as identifier scheme for orgUnits, Code as identifier scheme for Program stages, and Attribute:Gq0oWTf2DtN as identifier scheme for the rest of the metadata with assigned attribute.
api/events.json?orgUnit=DiszpKrYNg8&program=lxAQ7Zs9VYR&idScheme=Attribute:Gq0oWTf2DtN
&orgUnitIdScheme=UID&programStageIdScheme=Code
In addition to the above event query end point, there is an event grid query end point where a more compact "grid" format of events are returned. This is possible by interacting with /api/events/query.json|xml|xls|csv endpoint.
/api/33/events/query
Most of the query parameters mentioned in event querying and reading section above are valid here. However, since the grid to be returned comes with specific set of columns that apply to all rows (events), it is mandatory to specify a program stage. It is not possible to mix events from different programs or program stages in the return.
Returning events from a single program stage, also opens up for new functionality - for example sorting and searching events based on their data element values. api/events/query has support for this. Below are some examples
A query to return an event grid containing only selected data elements for a program stage
/api/33/events/query.json?orgUnit=DiszpKrYNg8&programStage=Zj7UnCAulEk
&dataElement=qrur9Dvnyt5,fWIAEtYVEGk,K6uUAvq500H&order=lastUpdated:desc
&pageSize=50&page=1&totalPages=true
A query to return an event grid containing all data elements of a program stage
/api/33/events/query.json?orgUnit=DiszpKrYNg8&programStage=Zj7UnCAulEk
&includeAllDataElements=true
A query to filter events based on data element value
/api/33/events/query.json?orgUnit=DiszpKrYNg8&programStage=Zj7UnCAulEk
&filter=qrur9Dvnyt5:GT:20:LT:50
In addition to the filtering, the above example also illustrates one thing: the fact that there are no data elements mentioned to be returned in the grid. When this happens, the system defaults back to return only those data elements marked "Display in report" under program stage configuration.
We can also extend the above query to return us a grid sorted (asc|desc) based on data element value
/api/33/events/query.json?orgUnit=DiszpKrYNg8&programStage=Zj7UnCAulEk
&filter=qrur9Dvnyt5:GT:20:LT:50&order=qrur9Dvnyt5:desc
To create, read, update and delete event filters you can interact with the /api/eventFilters resource.
/api/33/eventFilters
For creating and updating an event filter in the system, you will be working with the eventFilters resource. POST is used to create and PUT method is used to update. The event filter definitions are used in the Tracker Capture app to display relevant predefined "Working lists" in the tracker user interface.
| Request Property | Description | Example |
|---|---|---|
| name | Name of the filter. | "name":"My working list" |
| description | A description of the filter. | "description":"for listing all events assigned to me". |
| program | The uid of the program. | "program" : "a3kGcGDCuk6" |
| programStage | The uid of the program stage. | "programStage" : "a3kGcGDCuk6" |
| eventQueryCriteria | Object containing parameters for querying, sorting and filtering events. | "eventQueryCriteria": { "organisationUnit":"a3kGcGDCuk6", "status": "COMPLETED", "createdDate": { "from": "2014-05-01", "to": "2019-03-20" }, "dataElements": ["a3kGcGDCuk6:EQ:1", "a3kGcGDCuk6"], "filters": ["a3kGcGDCuk6:EQ:1"], "programStatus": "ACTIVE", "ouMode": "SELECTED", "assignedUserMode": "PROVIDED", "assignedUsers" : ["a3kGcGDCuk7", "a3kGcGDCuk8"], "followUp": false, "trackedEntityInstance": "a3kGcGDCuk6", "events": ["a3kGcGDCuk7", "a3kGcGDCuk8"], "fields": "eventDate,dueDate", "order": "dueDate:asc,createdDate:desc" } |
| followUp | Used to filter events based on enrollment followUp flag. Possible values are true|false. | "followUp": true |
| organisationUnit | To specify the uid of the organisation unit | "organisationUnit": "a3kGcGDCuk7" |
| ouMode | To specify the OU selection mode. Possible values are SELECTED| CHILDREN|DESCENDANTS|ACCESSIBLE|CAPTURE|ALL | "ouMode": "SELECTED" |
| assignedUserMode | To specify the assigned user selection mode for events. Possible values are CURRENT| PROVIDED| NONE | ANY. See table below to understand what each value indicates. If PROVIDED (or null), non-empty assignedUsers in the payload will be considered. | "assignedUserMode": "PROVIDED" |
| assignedUsers | To specify a list of assigned users for events. To be used along with PROVIDED assignedUserMode above. | "assignedUsers": ["a3kGcGDCuk7", "a3kGcGDCuk8"] |
| displayOrderColumns | To specify the output ordering of columns | "displayOrderColumns": ["eventDate", "dueDate", "program"] |
| order | To specify ordering/sorting of fields and its directions in comma separated values. A single item in order is of the form "dataItem:direction". | "order"="a3kGcGDCuk6:desc,eventDate:asc" |
| dataFilters | To specify filters to be applied when listing events | "dataFilters"=[{ "dataItem": "abcDataElementUid", "le": "20", "ge": "10", "lt": "20", "gt": "10", "in": ["India", "Norway"], "like": "abc", "dateFilter": { "startDate": "2014-05-01", "endDate": "2019-03-20", "startBuffer": -5, "endBuffer": 5, "period": "LAST_WEEK", "type": "RELATIVE" } }] |
| status | Any valid EventStatus | "eventStatus": "COMPLETED" |
| events | To specify list of events | "events"=["a3kGcGDCuk6"] |
| completedDate | DateFilterPeriod object date filtering based on completed date. | "completedDate": { "startDate": "2014-05-01", "endDate": "2019-03-20", "startBuffer": -5, "endBuffer": 5, "period": "LAST_WEEK", "type": "RELATIVE" } |
| eventDate | DateFilterPeriod object date filtering based on event date. | "eventDate": { "startBuffer": -5, "endBuffer": 5, "type": "RELATIVE" } |
| dueDate | DateFilterPeriod object date filtering based on due date. | "dueDate": { "period": "LAST_WEEK", "type": "RELATIVE" } |
| lastUpdatedDate | DateFilterPeriod object date filtering based on last updated date. | "lastUpdatedDate": { "startDate": "2014-05-01", "endDate": "2019-03-20", "type": "ABSOLUTE" } |
| type | Specify whether the date period type is ABSOLUTE | RELATIVE | "type" : "RELATIVE" |
| period | Specify if a relative system defined period is to be used. Applicable only when "type" is RELATIVE. (see Relative Periods for supported relative periods) | "period" : "THIS_WEEK" |
| startDate | Absolute start date. Applicable only when "type" is ABSOLUTE | "startDate":"2014-05-01" |
| endDate | Absolute end date. Applicable only when "type" is ABSOLUTE | "startDate":"2014-05-01" |
| startBuffer | Relative custom start date. Applicable only when "type" is RELATIVE | "startBuffer":-10 |
| endBuffer | Relative custom end date. Applicable only when "type" is RELATIVE | "startDate":+10 |
The available assigned user selection modes are explained in the following table.
| Mode | Description |
|---|---|
| CURRENT | Assigned to the current logged in user |
| PROVIDED | Assigned to the users provided in the "assignedUser" parameter |
| NONE | Assigned to no users. |
| ANY | Assigned to any users. |
A sample payload that can be used to create/update an eventFilter is shown below.
{
"program": "ur1Edk5Oe2n",
"description": "Simple Filter for TB events",
"name": "TB events",
"eventQueryCriteria": {
"organisationUnit": "DiszpKrYNg8",
"eventStatus": "COMPLETED",
"eventDate": {
"startDate": "2014-05-01",
"endDate": "2019-03-20",
"startBuffer": -5,
"endBuffer": 5,
"period": "LAST_WEEK",
"type": "RELATIVE"
},
"dataFilters": [
{
"dataItem": "abcDataElementUid",
"le": "20",
"ge": "10",
"lt": "20",
"gt": "10",
"in": ["India", "Norway"],
"like": "abc"
},
{
"dataItem": "dateDataElementUid",
"dateFilter": {
"startDate": "2014-05-01",
"endDate": "2019-03-20",
"type": "ABSOLUTE"
}
},
{
"dataItem": "anotherDateDataElementUid",
"dateFilter": {
"startBuffer": -5,
"endBuffer": 5,
"type": "RELATIVE"
}
},
{
"dataItem": "yetAnotherDateDataElementUid",
"dateFilter": {
"period": "LAST_WEEK",
"type": "RELATIVE"
}
}
],
"programStatus": "ACTIVE"
}
}
A specific event filter can be retrieved by using the following api
GET /api/33/eventFilters/{uid}
All event filters can be retrieved by using the following api.
GET /api/33/eventFilters?fields=*
All event filters for a specific program can be retrieved by using the following api
GET /api/33/eventFilters?filter=program:eq:IpHINAT79UW
An event filter can be deleted by using the following api
DELETE /api/33/eventFilters/{uid}
Relationships are links between two entities in tracker. These entities can be tracked entity instances, enrollments and events.
There are multiple endpoints that allow you to see, create, delete and update relationships. The most common is the /api/trackedEntityInstances endpoint, where you can include relationships in the payload to create, update or deleting them if you omit them - Similar to how you work with enrollments and events in the same endpoint. All the tracker endpoints, /api/trackedEntityInstances, /api/enrollments and /api/events also list their relationships if requested in the field filter.
The standard endpoint for relationships is, however, /api/relationships. This endpoint provides all the normal CRUD operations for relationships.
List all relationships require you to provide the UID of the trackedEntityInstance, Enrollment or event that you want to list all the relationships for:
GET /api/relationships?tei=ABCDEF12345
GET /api/relationships?enrollment=ABCDEF12345
GET /api/relationships?event=ABCDEF12345
This request will return a list of any relationship you have access to see that includes the trackedEntityInstance, enrollment or event you specified. Each relationship is represented with the following JSON:
{
"relationshipType": "dDrh5UyCyvQ",
"relationshipName": "Mother-Child",
"relationship": "t0HIBrc65Rm",
"bidirectional": false,
"from": {
"trackedEntityInstance": {
"trackedEntityInstance": "vOxUH373fy5"
}
},
"to": {
"trackedEntityInstance": {
"trackedEntityInstance": "pybd813kIWx"
}
},
"created": "2019-04-26T09:30:56.267",
"lastUpdated": "2019-04-26T09:30:56.267"
}
You can also view specified relationships using the following endpoint:
GET /api/relationships/<id>
To create or update a relationship, you can use the following endpoints:
POST /api/relationships
PUT /api/relationships
And use the following payload structure:
{
"relationshipType": "dDrh5UyCyvQ",
"from": {
"trackedEntityInstance": {
"trackedEntityInstance": "vOxUH373fy5"
}
},
"to": {
"trackedEntityInstance": {
"trackedEntityInstance": "pybd813kIWx"
}
}
}
To delete a relationship, you can use this endpoint:
DELETE /api/relationships/<id>
In our example payloads, we use a relationship between trackedEntityInstances. Because of this, the "from" and "to" properties of our payloads include "trackedEntityInstance" objects. If your relationship includes other entities, you can use the following properties:
{
"enrollment": {
"enrollment": "<id>"
}
}
{
"event": {
"event": "<id>"
}
}
Two update strategies for all 3 tracker endpoints are supported: enrollment and event creation. This is useful when you have generated an identifier on the client side and are not sure if it was created or not on the server.
| Parameter | Description |
|---|---|
| CREATE | Create only, this is the default behavior. |
| CREATE_AND_UPDATE | Try and match the ID, if it exist then update, if not create. |
To change the parameter, please use the strategy parameter:
POST /api/33/trackedEntityInstances?strategy=CREATE_AND_UPDATE
Bulk deletion of tracker objects work in a similar fashion to adding and updating tracker objects, the only difference is that the importStrategy is DELETE.
Example: Bulk deletion of tracked entity instances:
{
"trackedEntityInstances": [
{
"trackedEntityInstance": "ID1"
},
{
"trackedEntityInstance": "ID2"
},
{
"trackedEntityInstance": "ID3"
}
]
}
curl -X POST -d @data.json -H "Content-Type: application/json"
"http://server/api/33/trackedEntityInstances?strategy=DELETE"
Example: Bulk deletion of enrollments:
{
"enrollments": [
{
"enrollment": "ID1"
},
{
"enrollment": "ID2"
},
{
"enrollment": "ID3"
}
]
}
curl -X POST -d @data.json -H "Content-Type: application/json"
"http://server/api/33/enrollments?strategy=DELETE"
Example: Bulk deletion of events:
{
"events": [
{
"event": "ID1"
},
{
"event": "ID2"
},
{
"event": "ID3"
}
]
}
curl -X POST -d @data.json -H "Content-Type: application/json"
"http://server/api/33/events?strategy=DELETE"
Tracker endpoints /trackedEntityInstances, /enrollments, /events support CRUD operations. The system keeps track of used identifiers. Therefore, an item which has been created and then deleted (e.g. events, enrollments) cannot be created or updated again. If attempting to delete an already deleted item, the system returns a success response as deletion of an already deleted item implies no change.
The system does not allow to delete an item via an update (PUT) or create (POST) method. Therefore, an attribute deleted is ignored in both PUT and POST methods, and in POST method it is by default set to false.
The import process can be customized using a set of import parameters:
| Parameter | Values (default first) | Description |
|---|---|---|
| dataElementIdScheme | id | name | code | attribute:ID | Property of the data element object to use to map the data values. |
| orgUnitIdScheme | id | name | code | attribute:ID | Property of the org unit object to use to map the data values. |
| idScheme | id | name | code| attribute:ID | Property of all objects including data elements, org units and category option combos, to use to map the data values. |
| dryRun | false | true | Whether to save changes on the server or just return the import summary. |
| strategy | CREATE | UPDATE | CREATE_AND_UPDATE | DELETE | Save objects of all, new or update import status on the server. |
| skipNotifications | true | false | Indicates whether to send notifications for completed events. |
| skipFirst | true | false | Relevant for CSV import only. Indicates whether CSV file contains a header row which should be skipped. |
| importReportMode | FULL, ERRORS, DEBUG | Sets the `ImportReport` mode, controls how much is reported back after the import is done. `ERRORS` only includes ObjectReports for object which has errors. `FULL` returns an ObjectReport for all objects imported, and `DEBUG` returns the same plus a name for the object (if available). |
In addition to XML and JSON for event import/export, in DHIS2.17 we introduced support for the CSV format. Support for this format builds on what was described in the last section, so here we will only write about what the CSV specific parts are.
To use the CSV format you must either use the /api/events.csv endpoint, or add content-type: text/csv for import, and accept: text/csv for export when using the /api/events endpoint.
The order of column in the CSV which are used for both export and import is as follows:
| Index | Key | Type | Description |
|---|---|---|---|
| 1 | event | identifier | Identifier of event |
| 2 | status | enum | Status of event, can be ACTIVE | COMPLETED | VISITED | SCHEDULED | OVERDUE | SKIPPED |
| 3 | program | identifier | Identifier of program |
| 4 | programStage | identifier | Identifier of program stage |
| 5 | enrollment | identifier | Identifier of enrollment (program instance) |
| 6 | orgUnit | identifier | Identifier of organisation unit |
| 7 | eventDate | date | Event date |
| 8 | dueDate | date | Due Date |
| 9 | latitude | double | Latitude where event happened |
| 10 | longitude | double | Longitude where event happened |
| 11 | dataElement | identifier | Identifier of data element |
| 12 | value | string | Value / measure of event |
| 13 | storedBy | string | Event was stored by (defaults to current user) |
| 14 | providedElsewhere | boolean | Was this value collected somewhere else |
| 14 | completedDate | date | Completed date of event |
| 14 | completedBy | string | Username of user who completed event |
Example of 2 events with 2 different data value each:
EJNxP3WreNP,COMPLETED,<pid>,<psid>,<enrollment-id>,<ou>,2016-01-01,2016-01-01,,,<de>,1,,
EJNxP3WreNP,COMPLETED,<pid>,<psid>,<enrollment-id>,<ou>,2016-01-01,2016-01-01,,,<de>,2,,
qPEdI1xn7k0,COMPLETED,<pid>,<psid>,<enrollment-id>,<ou>,2016-01-01,2016-01-01,,,<de>,3,,
qPEdI1xn7k0,COMPLETED,<pid>,<psid>,<enrollment-id>,<ou>,2016-01-01,2016-01-01,,,<de>,4,,
The import strategy SYNC should be used only by internal synchronization task and not for regular import. The SYNC strategy allows all 3 operations: CREATE, UPDATE, DELETE to be present in the payload at the same time.
A new concept called Tracker Ownership is introduced from 2.30. There will now be one owner organisation unit for a tracked entity instance in the context of a program. Programs that are configured with an access level of PROTECTED or CLOSED will adhere to the ownership privileges. Only those users belonging to the owning org unit for a tracked entity-program combination will be able to access the data related to that program for that tracked entity.
It is possible to temporarily override this ownership privilege for a program that is configured with an access level of PROTECTED. Any user will be able to temporarily gain access to the program related data, if the user specifies a reason for accessing the tracked entity-program data. This act of temporarily gaining access is termed as breaking the glass. Currently, the temporary access is granted for 3 hours. DHIS2 audits breaking the glass along with the reason specified by the user. It is not possible to gain temporary access to a program that has been configured with an access level of CLOSED. To break the glass for a tracked entity program combination, you can issue a POST request as shown:
/api/33/tracker/ownership/override?trackedEntityInstance=DiszpKrYNg8
&program=eBAyeGv0exc&reason=patient+showed+up+for+emergency+care
It is possible to transfer the ownership of a tracked entity-program from one org unit to another. This will be useful in case of patient referrals or migrations. Only an owner (or users who have broken the glass) can transfer the ownership. To transfer ownership of a tracked entity-program to another organisation unit, you can issue a PUT request as shown:
/api/33/tracker/ownership/transfer?trackedEntityInstance=DiszpKrYNg8
&program=eBAyeGv0exc&ou=EJNxP3WreNP
Potential duplicates are records we work with in the data deduplication feature. Due to the nature of the deduplication feature, this API endpoint is somewhat restricted.
A potential duplicate represents a single or pair of records which are suspected to be a duplicate.
The payload of a potential duplicate looks like this:
{
"teiA": "<id>",
"teiB": "<id>",
"status": "OPEN|INVALID|MERGED"
}
You can retrieve a list of potential duplicates using the following endpoint:
GET /api/potentialDuplicates
Additionally you can inspect individual records:
GET /api/potentialDuplicates/<id>
To create a new potential duplicate, you can use this endpoint:
POST /api/potentialDuplicates
The payload you provide needs at least teiA to be a valid tracked entity instance; teiB is optional. If teiB is set, it also needs to point to an existing tracked entity instance.
{
"teiA": "<id>",
"teiB": "<id>"
}
You can mark a potential duplicate as invalid to tell the system that the potential duplicate has been investigated and deemed to be not a duplicate. To do so you can use the following endpoint:
PUT /api/potentialDuplicates/<id>/invalidation
To hard delete a potential duplicate:
DELETE /api/potentialDuplicates/<id>
Program message lets you send messages to tracked entity instances, contact addresses associated with organisation units, phone numbers and email addresses. You can send messages through the messages resource.
/api/33/messages
Program messages can be sent using two delivery channels:
SMS (SMS)
Email address (EMAIL)
Program messages can be sent to various recipients:
Tracked entity instance: The system will look up attributes of value type PHONE_NUMBER or EMAIL (depending on the specified delivery channels) and use the corresponding attribute values.
Organisation unit: The system will use the phone number or email information registered for the organisation unit.
List of phone numbers: The system will use the explicitly defined phone numbers.
List of email addresses: The system will use the explicitly defined email addresses.
Below is a sample JSON payload for sending messages using POST requests. Note that message resource accepts a wrapper object named programMessages which can contain any number of program messages.
POST /api/33/messages
{
"programMessages": [
{
"recipients": {
"trackedEntityInstance": {
"id": "UN810PwyVYO"
},
"organisationUnit": {
"id": "Rp268JB6Ne4"
},
"phoneNumbers": ["55512345", "55545678"],
"emailAddresses": ["johndoe@mail.com", "markdoe@mail.com"]
},
"programInstance": {
"id": "f3rg8gFag8j"
},
"programStageInstance": {
"id": "pSllsjpfLH2"
},
"deliveryChannels": ["SMS", "EMAIL"],
"notificationTemplate": "Zp268JB6Ne5",
"subject": "Outbreak alert",
"text": "An outbreak has been detected",
"storeCopy": false
}
]
}
The fields are explained in the following table.
| Field | Required | Description | Values |
|---|---|---|---|
| recipients | Yes | Recipients of the program message. At least one recipient must be specified. Any number of recipients / types can be specified for a message. | Can be trackedEntityInstance, organisationUnit, an array of phoneNumbers or an array of emailAddresses. |
| programInstance | Either this or programStageInstance required | The program instance / enrollment. | Enrollment ID. |
| programStageInstance | Either this or programInstance required | The program stage instance / event. | Event ID. |
| deliveryChannels | Yes | Array of delivery channels. | SMS | EMAIL |
| subject | No | The message subject. Not applicable for SMS delivery channel. | Text. |
| text | Yes | The message text. | Text. |
| storeCopy | No | Whether to store a copy of the program message in DHIS2. | false (default) | true |
A minimalistic example for sending a message over SMS to a tracked entity instance looks like this:
curl -d @message.json "https://play.dhis2.org/demo/api/33/messages"
-H "Content-Type:application/json" -u admin:district
{
"programMessages": [
{
"recipients": {
"trackedEntityInstance": {
"id": "PQfMcpmXeFE"
}
},
"programInstance": {
"id": "JMgRZyeLWOo"
},
"deliveryChannels": ["SMS"],
"text": "Please make a visit on Thursday"
}
]
}
The list of messages can be retrieved using GET.
GET /api/33/messages
To get the list of sent tracker messages, the below endpoint can be used. ProgramInstance or ProgramStageInstance uid has to be provided. GET /api/33/messages/scheduled/sent?programInstance={uid} GET /api/33/messages/scheduled/sent?programStageInstance={uid}
To get the list of all scheduled message
GET /api/33/messages/scheduled
GET /api/33/messages/scheduled?scheduledAt=2020-12-12
One particular message can also be retrieved using GET.
GET /api/33/messages/{uid}
Message can be deleted using DELETE.
DELETE /api/33/messages/{uid}
The program message API supports program message queries based on request parameters. Messages can be filtered based on below mentioned query parameters. All requests should use the GET HTTP verb for retrieving information.
| Parameter | URL |
|---|---|
| programInstance | /api/33/messages?programInstance=6yWDMa0LP7 |
| programStageInstance | /api/33/messages?programStageInstance=SllsjpfLH2 |
| trackedEntityInstance | /api/33/messages?trackedEntityInstance=xdfejpfLH2 |
| organisationUnit | /api/33/messages?ou=Sllsjdhoe3 |
| processedDate | /api/33/messages?processedDate=2016-02-01 |
The Web API features a resource for sending emails. For emails to be sent it is required that the SMTP configuration has been properly set up and that a system notification email address for the DHIS2 instance has been defined. You can set SMTP settings from the email settings screen and system notification email address from the general settings screen in DHIS2.
/api/33/email
The notification resource lets you send system email notifications with a given subject and text in JSON or XML. The email will be sent to the notification email address as defined in the DHIS2 general system settings:
{
"subject": "Integrity check summary",
"text": "All checks ran successfully"
}
You can send a system email notification by posting to the notification resource like this:
curl -d @email.json "localhost/api/33/email/notification" -X POST
-H "Content-Type:application/json" -u admin:district
You can also send a general email notification by posting to the notification resource as mentioned below. F_SEND_EMAIL or ALL authority has to be in the system to make use of this api. Subject parameter is optional. "DHIS 2" string will be sent as default subject if it is not provided in url. Url should be encoded in order to use this API.
curl "localhost/api/33/email/notification?recipients=xyz%40abc.com&message=sample%20email&subject=Test%20Email"
-X POST -u admin:district
To test whether the SMTP setup is correct by sending a test email to yourself you can interact with the test resource. To send test emails it is required that your DHIS2 user account has a valid email address associated with it. You can send a test email like this:
curl "localhost/api/33/email/test" -X POST -H "Content-Type:application/json" -u admin:district
Using the dataStore resource, developers can store arbitrary data for their apps. Access to a datastore's key is based on its sharing settings. By default all keys created are publicly accessible (read and write). Additionally, access to a datastore's namespace is limited to the user's access to the corresponding app, if the app has reserved the namespace. For example a user with access to the "sampleApp" application will also be able to use the sampleApp namespace in the datastore. If a namespace is not reserved, no specific access is required to use it.
/api/33/dataStore
Data store entries consist of a namespace, key and value. The combination of namespace and key is unique. The value data type is JSON.
| Item | Description | Data type |
|---|---|---|
| Namespace | Namespace for organization of entries. | String |
| Key | Key for identification of values. | String |
| Value | Value holding the information for the entry. | JSON |
| Encrypted | Indicates whether the value of the given key should be encrypted | Boolean |
For a list of all existing namespaces:
GET /api/33/dataStore
Example curl request for listing:
curl "play.dhis2.org/demo/api/33/dataStore" -u admin:district
Example response:
["foo", "bar"]
For a list of all keys in a namespace:
GET /api/33/dataStore/<namespace>
Example curl request for listing:
curl "play.dhis2.org/demo/api/33/dataStore/foo" -u admin:district
Example response:
["key_1", "key_2"]
To retrieve a value for an existing key from a namespace:
GET /api/33/dataStore/<namespace>/<key>
Example curl request for retrieval:
curl "play.dhis2.org/demo/api/33/dataStore/foo/key_1"-u admin:district
Example response:
{
"foo": "bar"
}
To retrieve meta-data for an existing key from a namespace:
GET /api/33/dataStore/<namespace>/<key>/metaData
Example curl request for retrieval:
curl "play.dhis2.org/demo/api/33/dataStore/foo/key_1/metaData" -u admin:district
Example response:
{
"id": "dsKeyUid001",
"created": "...",
"user": {...},
"namespace": "foo",
"key": "key_1"
}
To create a new key and value for a namespace:
POST /api/33/dataStore/<namespace>/<key>
Example curl request for create, assuming a valid JSON payload:
curl "https://play.dhis2.org/demo/api/33/dataStore/foo/key_1" -X POST
-H "Content-Type: application/json" -d "{\"foo\":\"bar\"}" -u admin:district
Example response:
{
"httpStatus": "OK",
"httpStatusCode": 201,
"status": "OK",
"message": "Key 'key_1' created."
}
If you require the data you store to be encrypted (for example user credentials or similar) you can append a query to the url like this:
GET /api/33/dataStore/<namespace>/<key>?encrypt=true
To update a key that exists in a namespace:
PUT /api/33/dataStore/<namespace>/<key>
Example curl request for update, assuming valid JSON payload:
curl "https://play.dhis2.org/demo/api/33/dataStore/foo/key_1" -X PUT -d "[1, 2, 3]"
-H "Content-Type: application/json" -u admin:district
Example response:
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "Key 'key_1' updated."
}
To delete an existing key from a namespace:
DELETE /api/33/dataStore/<namespace>/<key>
Example curl request for delete:
curl "play.dhis2.org/demo/api/33/dataStore/foo/key_1" -X DELETE -u admin:district
Example response:
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "Key 'key_1' deleted from namespace 'foo'."
}
To delete all keys in a namespace:
DELETE /api/33/dataStore/<namespace>
Example curl request for delete:
curl "play.dhis2.org/demo/api/33/dataStore/foo" -X DELETE -u admin:district
Example response:
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "Namespace 'foo' deleted."
}
Sharing of datastore keys follows the same principle as for other metadata sharing (see Sharing).
To get sharing settings for a specific datastore key:
GET /api/33/sharing?type=dataStore&id=<uid>
Where the id for the datastore key comes from the /metaData endpoint for that key:
/api/33/dataStore/<namespace>/<key>/metaData
To modify sharing settings for a specific datastore key:
POST /api/33/sharing?type=dataStore&id=<uid>
with the following request:
{
"object": {
"publicAccess": "rw------",
"externalAccess": false,
"user": {},
"userAccesses": [],
"userGroupAccesses": [
{
"id": "hj0nnsVsPLU",
"access": "rw------"
},
{
"id": "qMjBflJMOfB",
"access": "r-------"
}
]
}
}
In addition to the dataStore which is shared between all users of the system, a user-based data store is also available. Data stored to the userDataStore is associated with individual users, so that each user can have different data on the same namespace and key combination. All calls against the userDataStore will be associated with the logged in user. This means one can only see, change, remove and add values associated with the currently logged in user.
/api/33/userDataStore
userDataStore consists of a user, a namespace, keys and associated values. The combination of user, namespace and key is unique.
| Item | Description | Data Type |
|---|---|---|
| User | The user this data is associated with | String |
| Namespace | The namespace the key belongs to | String |
| Key | The key a value is stored on | String |
| Value | The value stored | JSON |
| Encrypted | Indicates whether the value should be encrypted | Boolean |
Returns an array of all existing namespaces
GET /api/33/userDataStore
Example request:
curl -H "Content-Type: application/json" -u admin:district "play.dhis2.org/api/33/userDataStore"
["foo", "bar"]
Returns an array of all existing keys in a given namespace
GET /api/userDataStore/<namespace>
Example request:
curl -H "Content-Type: application/json" -u admin:district "play.dhis2.org/api/33/userDataStore/foo"
["key_1", "key_2"]
Returns the value for a given namespace and key
GET /api/33/userDataStore/<namespace>/<key>
Example request:
curl -H "Content-Type: application/json" -u admin:district "play.dhis2.org/api/33/userDataStore/foo/bar"
{
"some": "value"
}
Adds a new value to a given key in a given namespace.
POST /api/33/userDataStore/<namespace>/<key>
Example request:
curl -X POST -H "Content-Type: application/json" -u admin:district -d "['some value']"
"play.dhis2.org/api/33/userDataStore/foo/bar"
{
"httpStatus": "Created",
"httpStatusCode": 201,
"status": "OK",
"message": "Key 'bar' in namespace 'foo' created."
}
If you require the value to be encrypted (For example user credentials and such) you can append a query to the url like this:
GET /api/33/userDataStore/<namespace>/<key>?encrypt=true
Updates an existing value
PUT /api/33/userDataStore/<namespace>/<key>
Example request:
curl -X PUT -H "Content-Type: application/json" -u admin:district -d "['new value']"
"play.dhis2.org/api/33/userDataStore/foo/bar"
{
"httpStatus": "Created",
"httpStatusCode": 201,
"status": "OK",
"message": "Key 'bar' in namespace 'foo' updated."
}
Delete a key
DELETE /api/33/userDataStore/<namespace>/<key>
Example request:
curl -X DELETE -u admin:district "play.dhis2.org/api/33/userDataStore/foo/bar"
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "Key 'bar' deleted from the namespace 'foo."
}
Delete all keys in the given namespace
DELETE /api/33/userDataStore/<namespace>
Example request:
curl -X DELETE -u admin:district "play.dhis2.org/api/33/userDataStore/foo"
{
"httpStatus": "OK",
"httpStatusCode": 200,
"status": "OK",
"message": "All keys from namespace 'foo' deleted."
}
The /api/apps endpoint can be used for installing, deleting and listing apps. The app key is based on the app name, but with all non-alphanumerical characters removed, and spaces replaced with a dash. My app! will return the key My-app.
Note
Previous to 2.28, the app key was derived from the name of the ZIP archive, excluding the file extension. URLs using the old format should still return the correct app in the api.
/api/33/apps
Note
Previous to 2.28 the app property folderName referred to the actual path of the installed app. With the ability to store apps on cloud services, folderName's purpose changed, and will now refer to the app key.
You can read the keys for apps by listing all apps from the apps resource and look for the key property. To list all installed apps in JSON:
curl -u user:pass -H "Accept: application/json" "http://server.com/api/33/apps"
You can also simply point your web browser to the resource URL:
http://server.com/api/33/apps
The apps list can also be filtered by app type and by name, by appending one or more filter parameters to the URL:
http://server.com/api/33/apps?filter=appType:eq:DASHBOARD_APP&filter=name:ilike:youtube
App names support the eq and ilike filter operators, while appType supports eq only.
To install an app, the following command can be issued:
curl -X POST -u user:pass -F file=@app.zip "http://server.com/api/33/apps"
To delete an app, you can issue the following command:
curl -X DELETE -u user:pass "http://server.com/api/33/apps/<app-key>"
To force a reload of currently installed apps, you can issue the following command. This is useful if you added a file manually directly to the file system, instead of uploading through the DHIS2 user interface.
curl -X PUT -u user:pass "http://server.com/api/33/apps"
If the DHIS2 instance has been configured to use cloud storage, apps will now be installed and stored on the cloud service. This will enable multiple instances share the same versions on installed apps, instead of installing the same apps on each individual instance.
Note
Previous to 2.28, installed apps would only be stored on the instance's local filesystem. Apps installed before 2.28 will still be available on the instance it was installed, but it will not be shared with other instances, as it's still located on the instances local filesystem.
The Web API exposes the content of the DHIS2 App Store as a JSON representation which can found at the /api/appHub resource.
/api/33/appHub
You can retrieve apps with a GET request:
GET /api/33/appHub
A sample JSON response is described below.
{
[
{
"name": "Tabular Tracker Capture",
"description": "Tabular Tracker Capture is an app that makes you more effective.",
"sourceUrl": "https://github.com/dhis2/App-repository",
"appType": "DASHBOARD_WIDGET",
"status": "PENDING",
"id": "NSD06BVoV21",
"developer": {
"name": "DHIS",
"organisation": "Uio",
"address": "Oslo",
"email": "dhis@abc.com",
},
"versions": [
{
"id": "upAPqrVgwK6",
"version": "1.2",
"minDhisVersion": "2.17",
"maxDhisVersion": "2.20",
"downloadUrl": "https://dhis2.org/download/appstore/tabular-capture-12.zip",
"demoUrl": "http://play.dhis2.org/demo"
}
],
"images": [
{
"id": "upAPqrVgwK6",
"logo": "true",
"imageUrl": "https://dhis2.org/download/appstore/tabular-capture-12.png",
"description": "added feature snapshot",
"caption": "dialog",
}
]
}
]
}
You can install apps on your instance of DHIS2 assuming you have the appropriate permissions. An app is referred to using the id property of the relevant version of the app. An app is installed with a POST request with the version id to the following resource:
POST /api/33/appHub/{app-version-id}