async-faceit-api 0.1.3

Async wrapper for the faceit API for csgo

Async faceit API

Async wrapper for the faceit API for csgo.

Here are the docs

Error Handling

Note that the async api methods return an object of type FaceitApiError if the request was not successful. To distinguish between a successful response and an error, you can easily use the object as a boolean expression:

    games = await api.games()
    if games:
        print('success')
    else:
        print('error')

Getting started

If you dont already have a loop in your programm you need to create one. Here is a basic example which will search players by the username and prints out a dict with the nicknames and player_ids:

import asyncio
from src.async_faceit_api import FaceitAPI


async def my_task():
    api_key = "..."
    api = FaceitAPI(api_key)
    players = await api.search_players("username")
    print({player.nickname: player.player_id for player in players.items})


if __name__ == "__main__":
    loop = asyncio.new_event_loop()
    loop.run_until_complete(my_task())
    loop.close()

Its recomended to store the api_key somewhere safe (e.g .env file)! Here is another example on how you can implement the api:

class MyApi(FaceitAPI):
    def __init__(self):
        api_key = os.getenv('faceit_api_key')
        super().__init__(api_key)

    async def get_played_maps_parallel(self, player_id):
        matches = await self.player_history(player_id, Game.CS_GO)
        all_match_stats = await asyncio.gather(*[self.match_stats(match.match_id) for match in matches.items])
        maps = {}
        for match_stat in all_match_stats:
            match_stat: MatchStats
            map = match_stat.rounds[0].round_stats['Map']
            if map in maps:
                maps[map] += 1
            else:
                maps[map] = 1
        return maps


async def my_task():
    api = MyApi()
    player_id = "..."
    print(await api.get_played_maps_parallel(player_id))


if __name__ == "__main__":
    loop = asyncio.new_event_loop()
    loop.run_until_complete(my_task())
    loop.close()