Skip to main content

Python module for integration to Atrium Sports APIs

Project description

Atrium Sports API SDK

Python module to make use of the Atrium Sports Datacore API

Datacore REST API

from atriumsports import AtriumSports

atrium = AtriumSports(
    {
        "sport": "basketball",
        "credential_id": "XXXXX",
        "credential_secret": "YYYY",
        "organizations": ["b1e34"],
    }
)
datacore = atrium.client("datacore")
response = datacore.get("/o/b1a23/competitions", limit=500)
for data in response.data():
    print(data)

or using openapi client

GET endpoints

from pprint import pprint

from atriumsports import AtriumSports
from atriumsports.datacore.openapi import CompetitionsApi

atrium = AtriumSports(
    {
        "sport": "basketball",
        "credential_id": "XXXXX",
        "credential_secret": "YYYY",
        "organizations": ["b1e34"],
    }
)
datacore = atrium.client("datacore")
# prepare api client with access token and connection pool
with datacore as api_client:
    # create api instance object for handling input and output of chosen endpoint
    api_instance = CompetitionsApi(api_client)
    response = api_instance.competition_list(sport="basketball", organization_id="b1a23")

    pprint(response)

POST and PUT endpoints

from atriumsports import AtriumSports
from atriumsports.datacore.openapi import EntitiesApi
from atriumsports.datacore.openapi import EntityPostBody
from atriumsports.datacore.openapi import EntityPutBody

atrium = AtriumSports(
    {
        "sport": "basketball",
        "credential_id": "XXXXX",
        "credential_secret": "YYYY",
        "organizations": ["b1a23"],
    }
)
datacore = atrium.client("datacore")
with datacore as api_client:
    api_instance = EntitiesApi(api_client)

    response = api_instance.entity_insert(
        sport="basketball",
        organization_id="b1a23",
        entity_post_body=EntityPostBody(
            name_full_local="Test",
            status="INACTIVE",
        ),
    )

    entity_id = response.data[0].entity_id

    response = api_instance.entity_update(
        sport="basketball",
        organization_id="b1a23",
        entity_id=entity_id,
        entity_put_body=EntityPutBody(
            status="ACTIVE",
        ),
    )

    assert response.data[0].status == "ACTIVE"

Response body

Response body is a pydanitc object containing deserialized response data.

Example:

from atriumsports import AtriumSports
from atriumsports.datacore.openapi import LeaguesApi

atrium = AtriumSports(
    {
        "sport": "basketball",
        "credential_id": "XXXXX",
        "credential_secret": "YYYY",
        "organizations": ["b1a23"],
    }
)
datacore = atrium.client("datacore")
with datacore as api_client:
    api_instance = LeaguesApi(api_client)
    # throws error if response body doesn't pass validation
    response = api_instance.league_list("b1a23", "basketball")
    print(response.data)
    print(response.data[0].region_type)

Datacore Streaming API

import time

from atriumsports import AtriumSports

atrium = AtriumSports(
    {
        "sport": "basketball",
        "credential_id": "XXXXX",
        "credential_secret": "YYYY",
        "environment": "sandpit",
    }
)
stream_api = atrium.client("datacore-stream")


def on_connect_callback_function(client):
    """example callback when connected"""
    print("connected")


def on_read_callback_function(client, topic, message):
    """example callback when message read"""
    print("{}: {}".format(topic, message))


connected = stream_api.connect(
    {
        "fixture_id": "f71dfdd6-51f1-11ea-8889-22953e2ee7e2",  # fixture_id
        "scopes": ["write:stream_events", "read:stream_events"],  # Scopes
        "on_read": on_read_callback_function,
        "on_connect": on_connect_callback_function,
    }
)
if not connected:
    print(stream_api.error())
else:
    stream_api.publish(
        "write:stream_events",
        {
            "type": "event",
            "data": {
                "eventClass": "sport",
                "eventId": "c2404cc0-9f75-11e8-98d0-529269fb1459",
                "entityId": "c24048a6-9f75-11e8-98d0-529269fb1459",
                "personId": "c2405b2a-9f75-11e8-98d0-529269fb1459",
                "eventType": "2pt",
                "subType": "jumpshot",
                "clock": "PT08:23",
                "shotClock": "PT12.3",
                "periodId": 2,
                "success": True,
                "timestamp": "2018-08-14T16:45:34.34",
                "clientId": "c2408302-9f75-11e8-98d0-529269fb1459",
                "clientType": "TestApi:1.1.2",
            },
        },
        qos=1,  # QoS level 0=at most once, 1=at least once, 2=exactly once
    )
    time.sleep(40)

    stream_api.disconnect()

For the available apis and models please check modules under atriumsports.datacore.openapi.

Using your IDE, navigate to this module to see all details of the generated API classes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

atriumsports_sdk-1.1.0.tar.gz (361.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

atriumsports_sdk-1.1.0-py3-none-any.whl (916.4 kB view details)

Uploaded Python 3

File details

Details for the file atriumsports_sdk-1.1.0.tar.gz.

File metadata

  • Download URL: atriumsports_sdk-1.1.0.tar.gz
  • Upload date:
  • Size: 361.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.6

File hashes

Hashes for atriumsports_sdk-1.1.0.tar.gz
Algorithm Hash digest
SHA256 a71772343da129278ae1d85c63b5a1857d8de76290c1d6a2b14449f90bee09cc
MD5 54df31eb730a7ea767de8d35e3898226
BLAKE2b-256 dec31491b6e59362a3636ad5c51424b04f6a9968c6ebd4b6f9354d4c004ba4ad

See more details on using hashes here.

File details

Details for the file atriumsports_sdk-1.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for atriumsports_sdk-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 08c4f2b278f4ff1990ecf75db7317846b201e4404e4d66ffc81ba3afac149a21
MD5 8bab29bed8e128be845c5071abf4a6b3
BLAKE2b-256 e23ba9878ae5d023000372aad7cde22aafc7793334f8ae471b86146228471000

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page