refactor: move Python scripts to scripts/python/ directory

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2026-03-31 21:49:20 -07:00
parent 9511eed477
commit 039b927bb7
3 changed files with 567 additions and 0 deletions
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#!/usr/bin/env python3
"""
Update player statistics (ELO, gamesPlayed, wins, losses) based on matches in the database
"""
import sqlite3
import math
DB_PATH = "prisma/prisma/dev.db"
K_FACTOR = 32 # Standard K-factor for Elo calculations
def get_all_matches():
"""Get all matches from the database"""
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
cursor.execute("""
SELECT id, team1P1Id, team1P2Id, team2P1Id, team2P2Id,
team1Score, team2Score, playedAt
FROM matches
ORDER BY playedAt
""")
matches = cursor.fetchall()
conn.close()
return matches
def get_player(player_id):
"""Get a player by ID"""
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
cursor.execute(
"SELECT id, name, currentElo, gamesPlayed, wins, losses FROM players WHERE id = ?",
(player_id,),
)
player = cursor.fetchone()
conn.close()
return player
def update_player(player_id, current_elo, games_played, wins, losses):
"""Update a player's statistics"""
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
cursor.execute(
"""
UPDATE players
SET currentElo = ?, gamesPlayed = ?, wins = ?, losses = ?
WHERE id = ?
""",
(current_elo, games_played, wins, losses, player_id),
)
conn.commit()
conn.close()
def calculate_elo_change(rating_a, rating_b, score_a, score_b):
"""Calculate Elo change for a match"""
# Calculate expected scores
expected_a = 1 / (1 + math.pow(10, (rating_b - rating_a) / 400))
expected_b = 1 - expected_a
# Actual scores (1 for win, 0.5 for tie, 0 for loss)
actual_a = 0.5 if score_a == score_b else (1 if score_a > score_b else 0)
actual_b = 0.5 if score_a == score_b else (1 if score_b > score_a else 0)
# Calculate Elo change
elo_change_a = K_FACTOR * (actual_a - expected_a)
elo_change_b = K_FACTOR * (actual_b - expected_b)
return elo_change_a, elo_change_b
def main():
print("Updating player statistics based on matches in database...")
print("=" * 60)
# Get all matches
matches = get_all_matches()
print(f"Found {len(matches)} matches in database")
# Reset all player stats to 0 before recalculating
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
cursor.execute(
"UPDATE players SET currentElo = 1000, gamesPlayed = 0, wins = 0, losses = 0"
)
conn.commit()
conn.close()
print("Reset all player statistics to initial values (ELO: 1000, games: 0)")
# Process each match
match_count = 0
for (
match_id,
team1_p1,
team1_p2,
team2_p1,
team2_p2,
team1_score,
team2_score,
played_at,
) in matches:
# Get player data
p1 = get_player(team1_p1)
p2 = get_player(team1_p2)
p3 = get_player(team2_p1)
p4 = get_player(team2_p2)
if not all([p1, p2, p3, p4]):
print(f"Warning: Could not find all players for match {match_id}")
continue
# Calculate team ratings
team1_rating = (p1[2] + p2[2]) / 2 # currentElo
team2_rating = (p3[2] + p4[2]) / 2 # currentElo
# Calculate Elo changes
team1_elo_change, team2_elo_change = calculate_elo_change(
team1_rating, team2_rating, team1_score, team2_score
)
# Individual Elo changes (split evenly between team members)
p1_elo_change = team1_elo_change / 2
p2_elo_change = team1_elo_change / 2
p3_elo_change = team2_elo_change / 2
p4_elo_change = team2_elo_change / 2
# Determine winners
team1_won = team1_score > team2_score
team2_won = team2_score > team1_score
# Update player 1 stats
p1_new_elo = int(p1[2] + p1_elo_change)
p1_new_games = p1[3] + 1
p1_new_wins = p1[4] + 1 if team1_won else p1[4]
p1_new_losses = p1[5] if team1_won else p1[5] + 1
update_player(p1[0], p1_new_elo, p1_new_games, p1_new_wins, p1_new_losses)
# Update player 2 stats
p2_new_elo = int(p2[2] + p2_elo_change)
p2_new_games = p2[3] + 1
p2_new_wins = p2[4] + 1 if team1_won else p2[4]
p2_new_losses = p2[5] if team1_won else p2[5] + 1
update_player(p2[0], p2_new_elo, p2_new_games, p2_new_wins, p2_new_losses)
# Update player 3 stats
p3_new_elo = int(p3[2] + p3_elo_change)
p3_new_games = p3[3] + 1
p3_new_wins = p3[4] + 1 if team2_won else p3[4]
p3_new_losses = p3[5] if team2_won else p3[5] + 1
update_player(p3[0], p3_new_elo, p3_new_games, p3_new_wins, p3_new_losses)
# Update player 4 stats
p4_new_elo = int(p4[2] + p4_elo_change)
p4_new_games = p4[3] + 1
p4_new_wins = p4[4] + 1 if team2_won else p4[4]
p4_new_losses = p4[5] if team2_won else p4[5] + 1
update_player(p4[0], p4_new_elo, p4_new_games, p4_new_wins, p4_new_losses)
match_count += 1
if match_count % 20 == 0:
print(f"Processed {match_count}/{len(matches)} matches...")
print(f"Processed {match_count} matches")
# Display updated player rankings
print("\n" + "=" * 60)
print("Top 10 Players by ELO Rating:")
print("-" * 60)
conn = sqlite3.connect(DB_PATH)
cursor = conn.cursor()
cursor.execute("""
SELECT id, name, currentElo, gamesPlayed, wins, losses
FROM players
ORDER BY currentElo DESC
LIMIT 10
""")
top_players = cursor.fetchall()
conn.close()
for rank, (player_id, name, elo, games, wins, losses) in enumerate(top_players, 1):
win_rate = (wins / games * 100) if games > 0 else 0
print(
f"{rank:2}. {name:15} | ELO: {elo:4} | Games: {games:3} | W/L: {wins}/{losses} ({win_rate:.1f}%)"
)
print("\n" + "=" * 60)
print("Player statistics updated successfully!")
print("Now run the application to see updated rankings.")
if __name__ == "__main__":
main()