Python wrapper for DHIS2
Project description
A Python wrapper for DHIS2.
Common HTTP operations (GET, POST, PUT, PATCH, DELETE)
API paging for GETs
SQL Views
Server-side UID generation
CSV/JSON file loading
Defaults to JSON, supported GETs: XML, CSV, PDF, XLS
requests as HTTP library
logzero as drop-in logging library
Supported and tested on Python 2.7, 3.4-3.7 and DHIS2 versions >= 2.25
Installation
Simply use pipenv (or pip):
pipenv install dhis2.py --user --upgrade
For instructions on installing Python / pip see The Hitchhiker’s Guide to Python.
Quickstart
Create an API object:
from dhis2 import Dhis
api = Dhis('play.dhis2.org/demo', 'admin', 'district', api_version=29, user_agent='myApp/0.1')
optional arguments:
api_version: DHIS2 API version
user_agent: submit your own User-Agent header
Then run requests on it:
r = api.get('organisationUnits/Rp268JB6Ne4', params={'fields': 'id,name'})
print(r.json())
# { "name": "Adonkia CHP", "id": "Rp268JB6Ne4" }
Get info about the DHIS2 instance
print(api.version)
# '2.29'
print(api.version_int)
# 29
print(api.revision)
# '17f7f0b'
print(api.api_url)
# 'https://play.dhis2.org/2.29/api/29'
Load authentication from file
Load from a auth JSON file in order to not store credentials in scripts. Must have the following structure:
{
"dhis": {
"baseurl": "https://play.dhis2.org/demo",
"username": "admin",
"password": "district"
}
}
from dhis2 import Dhis
api = Dhis.from_auth_file('path/to/auth.json', api_version=29, user_agent='myApp/1.0')
If no argument is specified, it tries to find a file called dish.json in:
the DHIS_HOME environment variable
your Home folder
API paging
Paging for larger GET requests.
Two possible ways:
Process every page as they come in:
for page in api.get_paged('organisationUnits', page_size=100):
print(page)
# { "organisationUnits": [ {...}, {...} ] } (100 organisationUnits)
Load all pages before proceeding (this may take a long time) - to do this, do not use for and add merge=True:
all_pages = api.get_paged('organisationUnits', page_size=100, merge=True):
print(all_pages)
# { "organisationUnits": [ {...}, {...} ] } (all organisationUnits)
Note: Returns directly a JSON object, not a requests.response object unlike normal GETs.
Multiple params
You may submit params as a list of tuples instead when you need to pass multiple parameters with the same key, e.g.:
r = api.get('dataValueSets', params=[
('dataSet', 'pBOMPrpg1QX'), ('dataSet', 'BfMAe6Itzgt'),
('orgUnit', 'YuQRtpLP10I'), ('orgUnit', 'vWbkYPRmKyS'),
('startDate', '2013-01-01'), ('endDate', '2013-01-31')
]
)
or
r = api.get('dataValueSets', params={
'dataSet': ['pBOMPrpg1QX', 'BfMAe6Itzgt'],
'orgUnit': ['YuQRtpLP10I', 'vWbkYPRmKyS'],
'startDate': '2013-01-01',
'endDate': '2013-01-31'
})
SQL Views
Get SQL View data as if you’d open a CSV file, optimized for larger payloads:
# poll a sqlView of type VIEW or MATERIALIZED_VIEW:
for row in api.get_sqlview('YOaOY605rzh', execute=True, criteria={'name': '0-11m'}):
print(row)
# {'code': 'COC_358963', 'name': '0-11m'}
# similarly, poll a sqlView of type QUERY:
for row in api.get_sqlview('qMYMT0iUGkG', var={'valueType': 'INTEGER'}):
print(row)
# if you want a list directly, cast it to a ``list`` or add ``merge=True``:
data = list(api.get_sqlview('qMYMT0iUGkG', var={'valueType': 'INTEGER'}))
# OR
# data = api.get_sqlview('qMYMT0iUGkG', var={'valueType': 'INTEGER'}, merge=True)
Note: Returns directly a JSON object, not a requests.response object unlike normal GETs.
Beginning of 2.26 you can also use normal filtering on sqlViews. In that case, it’s recommended to use the stream=True parameter of the Dhis.get() method.
Generate UIDs
Get server-generated UIDs (not limited to 10000):
uids = api.generate_uids(20000)
print(uids)
# ['Rp268JB6Ne4', 'fa7uwpCKIwa', ... ]
GET other content types
Usually defaults to JSON but you can get other file types:
r = api.get('organisationUnits/Rp268JB6Ne4', file_type='xml')
print(r.text)
# <?xml version='1.0' encoding='UTF-8'?><organisationUnit ...
r = api.get('organisationUnits/Rp268JB6Ne4', file_type='pdf')
with open('/path/to/file.pdf', 'wb') as f:
f.write(r.content)
Load a JSON file
from dhis2 import load_json
json_data = load_json('/path/to/file.json')
print(json_data)
# { "id": ... }
Load a CSV file
from dhis2 import load_csv
for row in load_csv('/path/to/file.csv'):
print(row)
# { "id": ... }
# or for a normal list
data = list(load_csv('/path/to/file.csv'))
Logging
Color output depending on log level
DHIS2 log format including the line of the caller
optional logfile= specifies a rotating log file path (20 x 10MB files)
from dhis2 import setup_logger, logger
setup_logger(logfile='/var/log/app.log')
logger.info('my log message')
logger.warn('missing something')
logger.error('something went wrong')
logger.exception('with stacktrace')
* INFO 2018-06-01 18:19:40,001 my log message [script:86] * ERROR 2018-06-01 18:19:40,007 something went wrong [script:87]
Exceptions
There are two exceptions:
APIException: DHIS2 didn’t like what you requested. See the exception’s code, url and description.
ClientException: Something didn’t work with the client not involving DHIS2.
They both inherit from Dhis2PyException.
Contribute
Feedback welcome!
Add issue
Install the dev environment (see below)
Fork, add changes to master branch, ensure tests pass with full coverage and add a Pull Request
pip install pipenv
git clone https://github.com/davidhuser/dhis2.py && cd dhis2.py
pipenv install --dev
pipenv run tests
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