Files
ArbitrageFinder/logic.py
Daan Koning 1cc110d468 Initial
2022-11-21 22:46:47 +01:00

58 lines
1.8 KiB
Python

from typing import Iterable, Generator
import time
import requests
BASE_URL = "https://api.the-odds-api.com/v4"
def get_sports(key: str) -> set[str]:
url = f"{BASE_URL}/sports/"
querystring = {"apiKey": key}
response = requests.get(url, params=querystring)
return {item["group"] for item in response.json()}
def get_data(key: str, sport: str, region: str = "eu"):
url = f"{BASE_URL}/sports/{sport}/odds/"
querystring = {
"apiKey": key,
"regions": region,
"oddsFormat": "decimal",
"dateFormat": "unix"
}
response = requests.get(url, params=querystring)
return response.json()
def process_data(matches: Iterable, include_started_matches: bool = True) -> Generator[dict, None, None]:
"""Extracts all matches that are available and calculates some things about them, such as the time to start and
the best available implied odds."""
for match in matches:
start_time = int(match["commence_time"])
if not include_started_matches and start_time < time.time():
continue
best_odd_per_outcome = {}
for bookmaker in match["bookmakers"]:
bookie_name = bookmaker["title"]
for outcome in bookmaker["markets"][0]["outcomes"]:
outcome_name = outcome["name"]
odd = outcome["price"]
if outcome_name not in best_odd_per_outcome.keys() or \
odd > best_odd_per_outcome[outcome_name][1]:
best_odd_per_outcome[outcome_name] = (bookie_name, odd)
total_implied_odds = sum(1/i[1] for i in best_odd_per_outcome.values())
match_name = f"{match['home_team']} v. {match['away_team']}"
time_to_start = (start_time - time.time())/3600
league = match["sport_key"]
yield {
"match_name": match_name,
"match_start_time": start_time,
"time_to_start": time_to_start,
"league": league,
"best_outcome_odds": best_odd_per_outcome,
"total_implied_odds": total_implied_odds,
}