85 lines
2.7 KiB
Python
85 lines
2.7 KiB
Python
from typing import Iterable, Generator
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import time
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import requests
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BASE_URL = "https://api.the-odds-api.com/v4"
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class APIException(RuntimeError):
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pass
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class AuthenticationException(APIException):
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pass
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class RateLimitException(APIException):
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pass
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def handle_faulty_response(response: requests.Response):
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if response.status_code == 401:
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raise AuthenticationException("Failed to authenticate with the API. is the API key valid?")
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elif response.status_code == 429:
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raise RateLimitException("Encountered API rate limit.")
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else:
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raise APIException("Unknown issue arose while trying to access the API.")
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def get_sports(key: str) -> set[str]:
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url = f"{BASE_URL}/sports/"
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querystring = {"apiKey": key}
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response = requests.get(url, params=querystring)
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if not response:
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handle_faulty_response(response)
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return {item["group"] for item in response.json()}
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def get_data(key: str, sport: str, region: str = "eu"):
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url = f"{BASE_URL}/sports/{sport}/odds/"
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querystring = {
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"apiKey": key,
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"regions": region,
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"oddsFormat": "decimal",
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"dateFormat": "unix"
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}
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response = requests.get(url, params=querystring)
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if not response:
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handle_faulty_response(response)
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return response.json()
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def process_data(matches: Iterable, include_started_matches: bool = True) -> Generator[dict, None, None]:
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"""Extracts all matches that are available and calculates some things about them, such as the time to start and
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the best available implied odds."""
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for match in matches:
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start_time = int(match["commence_time"])
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if not include_started_matches and start_time < time.time():
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continue
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best_odd_per_outcome = {}
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for bookmaker in match["bookmakers"]:
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bookie_name = bookmaker["title"]
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for outcome in bookmaker["markets"][0]["outcomes"]:
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outcome_name = outcome["name"]
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odd = outcome["price"]
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if outcome_name not in best_odd_per_outcome.keys() or \
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odd > best_odd_per_outcome[outcome_name][1]:
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best_odd_per_outcome[outcome_name] = (bookie_name, odd)
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total_implied_odds = sum(1/i[1] for i in best_odd_per_outcome.values())
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match_name = f"{match['home_team']} v. {match['away_team']}"
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time_to_start = (start_time - time.time())/3600
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league = match["sport_key"]
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yield {
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"match_name": match_name,
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"match_start_time": start_time,
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"hours_to_start": time_to_start,
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"league": league,
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"best_outcome_odds": best_odd_per_outcome,
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"total_implied_odds": total_implied_odds,
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} |