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Python client for QGenda REST API

Project description

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Description

A simple Python package to facilitate interactions with QGenda’s REST API.

Overview

Python QGenda is a client library to interact with QGenda’s REST API. It provides some nice things out of the box for you like automatic authentication and authentication storage.

Only GET methods are implemented, so if you need to update/delete, you will have to extend the API to do so. Official QGenda API documentation can be found here.

Installation

pip install python-qgenda

Setup

You will need to have an API account for QGenda for any of this stuff to work, of course. You will want to have a config file that looks something like this:

[qgenda]
company_key = YOUR-COMPANY-KEY
username = API-USERNAME
password = API-PASSWORD
api_url = https://api.qgenda.com/
documentation = http://restapi.qgenda.com
api_version = v2
; you can use redis or memcached, but you
; don't have to use caching at all if you don't want to.
cache_backend =
cache_host = 127.0.0.1
cache_port = 6379
cache_lifetime = 600 ; in seconds
debug = 0

Simple Usage

Logging In

You can login manually to test your credentials, but this library keeps the client authenticated automatically so you don’t need to worry about it after you know your credentials work.

import os

# tell configparser where to look for config
os.environ['QGENDA_CONF_FILE'] = '/path/to/qgenda.conf'
# optional
os.environ['QGENDA_CONF_REGION'] = 'name_of_region' # defaults to qgenda

from qgenda.api import client
client = client.QGendaClient()
client.authenticate()

Basics

Every method returns a Response object from the requests library, so it’s up to you to handle the json (or errors) that come out.

import json

odata_kwargs = {"$select": "StartDate,EndDate,StaffLName"}
api_response = client.get_schedule(start_date='2019-01-01',
odata_kwargs=odata_kwargs)
# the response is now in a dictionary for easy consumption
response_dict = json.loads(api_response.text)

print(json.dumps(response_dict[0], indent=4))
Output
{
    "StaffLName": "Holmes K",
    "EndDate": "2019-01-01T00:00:00",
    "StartDate": "2019-01-01T00:00:00"
}

Get Method Examples

Each of the get methods has optional OData parameters available, which allow you to sort, filter, or limit what data you are pulling from the API. These are different for each of the get methods, so you will want to check the official QGenda API docs for more details on that.

QGendaClient.get_schedule

# odata is completely optional, but pretty useful.

odata_kwargs = {
"$select": "StartDate,EndDate,StaffLName",
"$orderby": "StartDate",
"$filter": "startswith(StaffLName, 'H')"
}
api_response = client.get_schedule(start_date='2019-01-01',
end_date='2019-01-14',
odata_kwargs=odata_kwargs)

response_dict = json.loads(api_response.text)
print(json.dumps(response_dict[:2], indent=4))
Output
[
    {
        "StaffLName": "Holmes K",
        "EndDate": "2019-01-01T00:00:00",
        "StartDate": "2019-01-01T00:00:00"
    },
    {
        "StaffLName": "Hoover",
        "EndDate": "2019-01-01T00:00:00",
        "StartDate": "2019-01-01T00:00:00"
    }
]

QGendaClient.get_facility

As of the writing of this guide, attempting to use odata on an empty request results in a Bad Request response. You may need to keep that in mind as you work with the API.

odata_kwargs = {
    '$select': 'Name,ID',
}
api_response = client.get_facility()
response_dict = json.loads(api_response.text)
# looks like there aren't any yet.
print(json.dumps(response_dict[:2], indent=4))

QGendaClient.get_timeevent

api_response = client.get_timeevent(start_date='2019-01-01')
response_dict = json.loads(api_response.text)
# looks like there aren't any yet.
print(json.dumps(response_dict[:2], indent=4))

QGendaClient.get_dailycase

api_response = client.get_dailycase(start_date='2019-01-01')
response_dict = json.loads(api_response.text)
# looks like there aren't any yet.
print(json.dumps(response_dict[:2], indent=4))

Advanced

Caching Authentication

The client saves its authentication token in cache so you don’t need to re-authenticate between instances unless your token expires. redis and python-memcached are currently the only supported cache backends. Using the below configuration

Redis

You need to install redis in your environment and run a redis server.

pip install redis
Config
[qgenda]
company_key = YOUR-COMPANY-KEY
username = API-USERNAME
password = API-PASSWORD
api_url = https://api.qgenda.com/
documentation = http://restapi.qgenda.com
api_version = v2
cache_backend = redis
cache_host = 127.0.0.1
cache_port = 6379
cache_lifetime = 600 ; in seconds
debug = 0

Memcached

You need to install python-memecached in your environment and run a memcached server.

pip install python-memcached
Config
[qgenda]
company_key = YOUR-COMPANY-KEY
username = API-USERNAME
password = API-PASSWORD
api_url = https://api.qgenda.com/
documentation = http://restapi.qgenda.com
api_version = v2
cache_backend = memcached
cache_host = 127.0.0.1
cache_port = 11211
cache_lifetime = 600 ; in seconds
debug = 0

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