dhis2-client

Simple, synchronous DHIS2 Web API client — dict/JSON only, Jupyter-friendly (no context managers), clean paging, read-only users, CRUD for metadata (org units, data elements, data sets), data values & data value sets, analytics, and minimal logging by default.

Why this client?

DHIS2 is one of the most widely used health information platforms worldwide, and Python is a popular choice in data science, research, and integration workflows. Bringing the two together makes it easier to build analytics, integrations, and automation around DHIS2 data.

This client provides a lightweight and simple way to work with the DHIS2 Web API:

Always returns plain Python dict / JSON objects — no custom models or ORM layers.
Handles paging cleanly, so you can iterate over large DHIS2 collections without surprises.
Offers convenience methods for common entities (users, organisation units, data elements, data sets, data values, analytics) while keeping full access to the raw API.
Keeps setup minimal — synchronous, Jupyter-friendly, and easy to configure.

Installation

Requires Python 3.10+

pip install dhis2-client
# or, from source
pip install -e .

Requirements

Python 3.10+
DHIS2 server URL and valid credentials (Basic or token)

Quickstart

from dhis2_client import DHIS2Client

client = DHIS2Client(
    base_url="http://localhost:8080",
    username="admin",
    password="district",  # Basic auth by default
)

# Iterate users (read-only)
for u in client.get_users(fields="id,username", order="username:asc"):
    print(u)

# Fetch all data elements into a list (respecting paging)
all_des = client.fetch_all("/api/dataElements", params={"fields": "id,displayName"})

Authentication & Settings

You can configure the client directly with kwargs or centrally with a ClientSettings object.

from dhis2_client import DHIS2Client
from dhis2_client.settings import ClientSettings

# Recommended: central settings
cfg = ClientSettings(
    base_url="http://localhost:8080",
    username="admin",
    password="district",
    log_level="INFO",        # default "WARNING"
    log_format="json",       # default "json"; use "text" for human-readable
    log_destination="stdout" # default "stderr"; can also be file path
)

client = DHIS2Client(settings=cfg)
info = client.get_system_info()
print(info["version"])

Kwargs override settings if both are provided:

client = DHIS2Client(settings=cfg, log_level="DEBUG")  # DEBUG takes precedence

Logging

Default: JSON logs at WARNING level to stderr.
Configurable: via ClientSettings or constructor kwargs.

# JSON (default) logs at INFO to stdout
cfg = ClientSettings(
  base_url="http://localhost:8080", 
  username="admin", 
  password="district", 
  log_level="INFO", log_destination="stdout")
client = DHIS2Client(settings=cfg)

# Human-readable text logs
client = DHIS2Client(
  "http://localhost:8080",
  username="admin", 
  password="district",
  log_level="INFO", log_format="text")

# File logging
client = DHIS2Client("http://localhost:8080",
                     username="admin", password="district",
                     log_level="DEBUG", log_destination="/tmp/dhis2_client.log")

Example output:

{"ts":"2025-09-19T14:20:01+0000","level":"INFO","logger":"dhis2_client","message":"Request GET /api/system/info params=None"}

Paging

Default pageSize=50.
get_*s() yield items across pages.
fetch_all() returns a list of all items.

for ou in client.get_organisation_units(level=2, fields="id,displayName"):
    ...

Collections: page-by-page iteration

All collection convenience methods (get_data_elements, get_users, get_organisation_units, get_data_sets, …) fetch results page by page from DHIS2 until all matching items are returned.

✅ Safe for large DHIS2 servers (does not load everything in one huge response).
✅ Transparent pass-through: you control page, pageSize, filter, fields, etc.
❌ These methods do not include the pager block that DHIS2 returns. Use client.get(...) directly if you need that metadata.

Examples

Iterate over all matching data elements (fetches pages of 50 by default):

for de in client.get_data_elements(fields="id,displayName"):
    print(de["id"], de["displayName"])

Materialize in memory (not recommended for huge datasets):

des = list(client.get_data_elements(fields="id,displayName"))
print(len(des))  # total number of matching items across all pages

Get paging info (total, page count, etc.) directly from DHIS2:

raw = client.get("/api/dataElements", params={"page": 1, "pageSize": 50})
print(raw["pager"]["total"])

Convenience Methods

Core (raw API calls)

get(path, params=None) -> dict
post(path, json=None) -> dict
put(path, json=None) -> dict
delete(path, params=None) -> dict
list_paged(path, params=None, page_size=None, item_key=None) -> Iterable[dict]
fetch_all(path, params=None, item_key=None) -> list[dict]

System

get_system_info() -> dict

Users (read-only)

get_users(**filters) -> Iterable[dict]
get_user(uid, *, fields=None) -> dict

Organisation Units

get_organisation_units(**filters) -> Iterable[dict]
get_org_unit(uid, *, fields=None) -> dict
create_org_unit(payload) -> dict
update_org_unit(uid, payload) -> dict
delete_org_unit(uid) -> dict
get_org_unit_tree(root_uid=None, levels=None) -> dict

GeoJSON

get_organisation_units_geojson(**params) -> dict
get_org_unit_geojson(uid, **params) -> dict

Data Elements

get_data_elements(**filters) -> Iterable[dict]
get_data_element(uid, *, fields=None) -> dict
create_data_element(payload) -> dict
update_data_element(uid, payload) -> dict
delete_data_element(uid) -> dict

Data Sets

get_data_sets(**filters) -> Iterable[dict]
get_data_set(uid, *, fields=None) -> dict
create_data_set(payload) -> dict
update_data_set(uid, payload) -> dict
delete_data_set(uid) -> dict

Data Values

get_data_value(de, pe, ou, co=None, aoc=None, cc=None, cp=None) -> dict
set_data_value(de, pe, ou, value, **kwargs) -> dict
delete_data_value(de, pe, ou, **kwargs) -> dict

Data Value Sets

get_data_value_set(params: dict) -> dict
post_data_value_set(payload: dict) -> dict

Analytics

get_analytics(table: str = "analytics", **params) -> dict

Examples

Users (read-only)

# List users
for u in client.get_users(fields="id,username", order="username:asc"):
    print(u)

# Single user
user = client.get_user("u123", fields="id,username,displayName")

Organisation Units

# Iterate OU level 2
for ou in client.get_organisation_units(level=2, fields="id,displayName"):
    print(ou)

# Single OU
ou = client.get_org_unit("ou123", fields="id,displayName")

# Create/Update/Delete OU
client.create_org_unit({"name": "Clinic A", "shortName": "ClinicA", "openingDate": "2020-01-01"})
client.update_org_unit("ou123", {"name": "Clinic Alpha"})
client.delete_org_unit("ou123")

# Tree
tree = client.get_org_unit_tree(root_uid="ouROOT")

GeoJSON

# Collection as GeoJSON (unpaged FeatureCollection)
fc = client.get_organisation_units_geojson(level=2, fields="id,displayName,geometry")

# Single org unit as GeoJSON
feat = client.get_org_unit_geojson("ou123", fields="id,displayName,geometry")

Data Elements

# List
for de in client.get_data_elements(fields="id,displayName", filter=["valueType:eq:INTEGER"]):
    print(de)

# CRUD
client.create_data_element({"name": "New DE", "shortName": "NDE", "valueType": "NUMBER"})
de = client.get_data_element("de123", fields="id,displayName,valueType")
client.update_data_element("de123", {"valueType": "INTEGER"})
client.delete_data_element("de123")

Data Sets

for ds in client.get_data_sets(fields="id,displayName"):
    print(ds)

ds = client.get_data_set("ds123", fields="id,displayName")
client.create_data_set({"name": "My DS", "periodType": "Monthly"})
client.update_data_set("ds123", {"name": "My DS (Updated)"})
client.delete_data_set("ds123")

Data Values

# Single data value lifecycle
client.set_data_value(de="de1", pe="202401", ou="ou1", value="42")
val = client.get_data_value(de="de1", pe="202401", ou="ou1")
client.delete_data_value(de="de1", pe="202401", ou="ou1")

Data Value Sets

# Pull a batch
dvs = client.get_data_value_set({"dataSet": "ds1", "period": "202401", "orgUnit": "ou1"})

# Push a batch
client.post_data_value_set({
  "dataSet": "ds1",
  "orgUnit": "ou1",
  "period": "202401",
  "dataValues": [
    {"dataElement": "de1", "categoryOptionCombo": "co1", "value": "5"},
    {"dataElement": "de2", "categoryOptionCombo": "co1", "value": "9"}
  ]
})

Analytics

pivot = client.get_analytics(
  dimension=["dx:de1;de2", "pe:LAST_12_MONTHS", "ou:LEVEL-2"],
  displayProperty="NAME",
  skipMeta=True,
)

Raw API calls

Not every DHIS2 endpoint has a convenience wrapper yet. You can always use the core methods to call any path directly:

# Arbitrary GET
resp = client.get("/api/indicators", params={"fields": "id,displayName"})

# Single item
indicator = client.get("/api/indicators/abc123", params={"fields": "id,displayName"})

# Create
ou = client.post("/api/organisationUnits", json={
    "name": "Clinic A",
    "shortName": "ClinicA",
    "openingDate": "2020-01-01"
})

# Update
client.put("/api/dataElements/de123", json={"valueType": "INTEGER"})

# Delete
client.delete("/api/dataSets/ds123")

# Iterate paged collection
for de in client.list_paged(
    "/api/dataElements",
    params={"fields": "id,displayName"},
    item_key="dataElements"
):
    print(de)

Testing

Run unit tests (mocked; no .env needed):

pytest -q

Lint/format:

ruff check .
ruff format .

Dev Setup

pip install -r requirements-dev.txt

Includes: pytest, ruff, respx, python-dotenv.

Integration Tests

Read-only integration tests (if you have credentials):

export DHIS2_BASE_URL="http://localhost:8080"
export DHIS2_USERNAME="admin"
export DHIS2_PASSWORD="district"
pytest -m integration -q

Destructive tests (opt-in; be careful):

export DHIS2_ALLOW_MUTATIONS=true
pytest -m integration -q tests/integration/test_live_mutations.py

Roadmap

Stabilize core API and paging
Optional async & CLI (later)
More helpers (e.g., file resources, indicators)

License

BSD-3-Clause

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
src/dhis2_client		src/dhis2_client
tests		tests
.gitignore		.gitignore
CHANGELOG.md		CHANGELOG.md
README.md		README.md
pyproject.toml		pyproject.toml
pytest.ini		pytest.ini
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt
ruff.toml		ruff.toml

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dhis2-client

Table of Contents

Why this client?

Installation

Requirements

Quickstart

Authentication & Settings

Logging

Paging

Collections: page-by-page iteration

Examples

Convenience Methods

Core (raw API calls)

System

Users (read-only)

Organisation Units

GeoJSON

Data Elements

Data Sets

Data Values

Data Value Sets

Analytics

Examples

Users (read-only)

Organisation Units

GeoJSON

Data Elements

Data Sets

Data Values

Data Value Sets

Analytics

Raw API calls

Testing

Dev Setup

Integration Tests

Roadmap

License

About

Resources

Code of conduct

Contributing

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