odds_fetching.py

import traceback
import logging
import requests
from django.core.management.base import BaseCommand, CommandError
from apps.ufcstats.models import Fighter, Prediction, SportsBook, Odds, MLModel
from django.conf import settings

logger = logging.getLogger(__name__)

# Fighter Alias Dict for storing name screw ups
fighter_alias_dict = dict()
# Fighter name from the sportsbook is the key, fighter name from the DB is the value
fighter_alias_dict["Leomana Martinez"] = "Mana Martinez"
fighter_alias_dict["T.J. Dillashaw"] = "TJ Dillashaw"
fighter_alias_dict["Khalil Rountree"] = "Khalil Rountree Jr."
fighter_alias_dict["Steve Garcia Jr."] = "Steve Garcia"
fighter_alias_dict["Nathan Maness"] = "Nate Maness"
fighter_alias_dict['Mark O. Madsen'] = "Mark Madsen"
fighter_alias_dict['Weili Zhang'] = "Zhang Weili"
fighter_alias_dict['Daniel Hooker'] = "Dan Hooker"
fighter_alias_dict['Seung-Woo Choi'] = "SeungWoo Choi"
fighter_alias_dict['Shamil Abdurahimov'] = "Shamil Abdurakhimov"
fighter_alias_dict["Terrance Mckinney"] = "Terrance McKinney"
fighter_alias_dict['Zarah Fairn Dos Santos'] = "Zarah Fairn"
fighter_alias_dict['Sergey Spivak'] = "Serghei Spivac"
fighter_alias_dict['Da Un Jung'] = "Da-Un Jung"
fighter_alias_dict['Mandy Böhm'] = "Mandy Bohm"
fighter_alias_dict['Jun Yong Park'] = "Junyong Park"
fighter_alias_dict['Jesus Santos Aguilar'] = "Jesus Aguilar"
fighter_alias_dict['Alex Volkanovski'] = "Alexander Volkanovski"
fighter_alias_dict['Jim Crute'] = "Jimmy Crute"
fighter_alias_dict['Alex Hernandez'] = "Alexander Hernandez"
fighter_alias_dict['Ovince St. Preux'] = "Ovince Saint Preux"
fighter_alias_dict['Geoffrey Neal'] = "Geoff Neal"
fighter_alias_dict['Kenan Song'] = "Song Kenan"
fighter_alias_dict['Leomana Martinez'] = "Mana Martinez"
fighter_alias_dict["L'udovit Klein"] = "Ludovit Klein"
fighter_alias_dict["Daniel Da Silva"] = "Daniel Lacerda"

fighter_alias_dict['Alexander Romanov'] = "Alexandr Romanov"
fighter_alias_dict['Jj Aldrich'] = "JJ Aldrich"
fighter_alias_dict['Steve Garcia Jr.'] = "Steve Garcia"

fighter_alias_dict['Joseph Pyfer'] = "Joe Pyfer"
fighter_alias_dict['Lupita Godinez'] = "Loopy Godinez"
fighter_alias_dict['Raul Rosas Jr'] = "Raul Rosas Jr."
fighter_alias_dict['Michelle Waterson'] = "Michelle Waterson-Gomez"

fighter_alias_dict['Brogan Walker-Sanchez'] = "Brogan Walker"
fighter_alias_dict['Rick Glenn'] = "Ricky Glenn"

fighter_alias_dict['Mandy Böhm'] = "Mandy Bohm"
fighter_alias_dict['Gabriel Green'] = "Gabe Green"
fighter_alias_dict['Carlos Diego Ferreira'] = "Diego Ferreira"
fighter_alias_dict['Hayisaer Maheshate'] = "Maheshate"

def get_odds_info_from_prediction(prediction, api_response):
    """
    This function serves to take a particular prediction and the responses from the API to find and return
    back only the relevant odds components from various books.
    """
    response_json = api_response.json()
    for item in response_json:
        if (prediction.fighter_1.name == item["home_team"]) and (
            prediction.fighter_2.name == item["away_team"]
        ):
            return item["bookmakers"]
    return None


def get_odds_api_response():
    params = {
        "api_key": settings.THE_ODDS_API_KEY,
        "regions": ",".join(settings.THE_ODDS_API_REGION_LIST),
        "markets": "h2h",
        "oddsFormat": "american",
    }
    mma_response = requests.get(
        "https://api.the-odds-api.com/v4/sports/mma_mixed_martial_arts/odds/",
        params=params,
    )
    return mma_response


def get_predictions_and_order(red_corner, blue_corner):
    """
    This attempts to correct if red and blue corners have been swapped to get a prediction
    """
    flipped = False
    try:
        predictions = Prediction.objects.filter(
            fighter_1=red_corner, fighter_2=blue_corner, graded=False
        )
        if len(predictions) == 0:
            predictions = Prediction.objects.filter(
                fighter_1=blue_corner, fighter_2=red_corner, graded=False
            )
            flipped = True
    except:
        predictions = Prediction.objects.filter(
            fighter_1=blue_corner, fighter_2=red_corner, graded=False
        )
        flipped = True
    return predictions, flipped