74 lines
2.5 KiB
Python
74 lines
2.5 KiB
Python
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from data import data_api
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from match_calculations import calc_mmr_change
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import json
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import os
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# Mach die DB abfrage für die Relevanten Daten. Von hier aus werden die "Aufgaben" und Daten dann an die kleineren Berechnungs Funktionen verteilt.
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def calculate_inserted_match (gamesystem, match_id):
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match_data = data_api.get_match_by_id(match_id)
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if not match_data:
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print("Fehler: Match nicht gefunden!")
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return
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# Laden und umsetzen der Match Daten
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p1_id = match_data['player1_id']
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p2_id = match_data['player2_id']
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p1_score = match_data['score_player1']
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p2_score = match_data['score_player2']
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sys_name = match_data['gamesystem_name']
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sys_id = match_data['gamesystem_id']
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rules = load_mmr_rule_matrix(sys_name)
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draw_diff = rules["draw_point_difference"]
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calculated = False
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winner_id = None
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looser_id = None
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match_is_draw = False
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winner_score = 0
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looser_score = 0
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# Abgrenzen ob das Match schon berechnet wurde. Weil ein Draw kann 4 Punkte unterschied haben
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# 43-41 ist ein Draw aber rein Mathematisch würde es auch ein anderes if triggern
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# Abgrenzen, wer gewonnen hat (if, elif, else Kette)
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# 1. Ist es ein Unentschieden (Draw)?
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if -draw_diff <= (p1_score - p2_score) <= draw_diff:
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match_is_draw = True
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winner_id = p1_id # Bei Draw ist egal, wer wo steht
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looser_id = p2_id
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winner_score = p1_score
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looser_score = p2_score
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# 2. Wenn KEIN Draw: Hat Spieler 1 gewonnen?
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elif p1_score > p2_score:
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match_is_draw = False
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winner_id = p1_id
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looser_id = p2_id
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winner_score = p1_score
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looser_score = p2_score
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# 3. Wenn weder Draw noch P1 Sieg, MUSS P2 gewonnen haben!
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else:
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match_is_draw = False
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winner_id = p2_id
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looser_id = p1_id
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winner_score = p2_score
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looser_score = p1_score
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mmr_change_winner, mmr_change_looser = calc_mmr_change.calc_mmr_change(sys_name, winner_id, looser_id, winner_score, looser_score, match_is_draw, rules)
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data_api.apply_match_to_player_statistic (winner_id, sys_id, mmr_change_winner, winner_score)
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data_api.apply_match_to_player_statistic (looser_id, sys_id, mmr_change_looser, looser_score)
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def load_mmr_rule_matrix(systemname):
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safe_name = systemname.replace(" ", "_").lower()
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file_path = f"match_calculations/mmr_rules_{safe_name}.json"
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with open(file_path, "r", encoding="utf-8") as file:
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rules = json.load(file)
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return rules
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