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": ["b1a23"],
    }
)
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": ["b1a23"],
    }
)
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 pydantic 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-2.4.0.tar.gz (594.0 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-2.4.0-py3-none-any.whl (1.4 MB view details)

Uploaded Python 3

File details

Details for the file atriumsports_sdk-2.4.0.tar.gz.

File metadata

  • Download URL: atriumsports_sdk-2.4.0.tar.gz
  • Upload date:
  • Size: 594.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for atriumsports_sdk-2.4.0.tar.gz
Algorithm Hash digest
SHA256 ecb7540c800ae8aec6092be52405117e62aaebf568a2d3788a402f139a27e1b2
MD5 b277973fd8ea5ef240f216908d9ab7e6
BLAKE2b-256 7b0a9b0297c26c57487a997bbacf86733432673c432fb6054227bed8b95f7ba3

See more details on using hashes here.

File details

Details for the file atriumsports_sdk-2.4.0-py3-none-any.whl.

File metadata

File hashes

Hashes for atriumsports_sdk-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 373e1e45fca98b0f3598598e6985d91bbfd316b034404a5a3158bc8b445127fa
MD5 2517dabf33a72df0e22a13d23e60b0c8
BLAKE2b-256 3f39f7a24c888bbf08386802227de15061bf2609a8fce685be4230f118109136

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