pybet365 0.1.1

Installation

From source

$ git clone https://github.com/leonkozlowski/pybet365.git
$ cd pybet365

$ python3.8 -m venv venv
$ source venv/bin/activate
$ pip install -e .

# For test dependencies
$ pip install -r requirements_dev.txt

From build

$ pip install pybet365

Features

GET Request to Upcoming Events Endpoint

from pybet365 import Bet365

client = Bet365(api_host="someHost", api_key="someKey")
upcoming_events = client.upcoming_events(sport_id="49")

print(upcoming_events)

Response

{
  "success": 1,
  "pager": {
    "page": 1,
    "per_page": 50,
    "total": 102
  },
  "results": [
    {
      "id": "88107197",
      "sport_id": "92",
      "time": "1586480400",
      "time_status": "0",
      "league": {
        "id": "10036652",
        "name": "Moscow Liga Pro"
      },
      "home": {
        "id": "10423098",
        "name": "Evgenii Kryuchkov"
      },
      "away": {
        "id": "10433218",
        "name": "Aik Lulikyan"
      },
      "ss": null,
      "our_event_id": "2297143",
      "updated_at": "1586478473"
    }
  ]
}

Access response objects with dot notation

from pybet365 import Bet365

client = Bet365(api_host="someHost", api_key="someKey")
upcoming_events = client.upcoming_events(sport_id="49")

print(upcoming_events.success)
>>> 1

Access of array type results objects

from pybet365 import Bet365

client = Bet365(api_host="someHost", api_key="someKey")
upcoming_events = client.upcoming_events(sport_id="49")

print(upcoming_events.results[0].id)
>>> "88107197"

Environment Variables

• BET365_HOST

  • $ export BET365_HOST=yourHost

• BET365_KEY

  • $ export BET365_KEY=yourSecretKey

# Test with pytest
make tests

# Lint with flake8
make lint

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.