josh
7784eaf9ce
- Empty net detection: pulled goalie triggers +150-250 bonus, stacks with PP - Playoff series importance: Game 7 Cup Final = 200, elimination games scale by round; fallback of 100 when series data unavailable - Period-aware score differential: 2-goal deficit penalty DECREASES in final 2 min of P3 (goalie-pull zone), 3+ goal games get harsher penalties late - Persistent comeback narrative: tracks max deficit, sustained bonus for 2+ goal recoveries instead of one-shot spike (0-3 to 3-3 = 150 persistent) - Shootout special handling: flat base 550 with no time component; ranks below dramatic close P3 games (skills competition, not hockey) - Multi-man advantage: parses situationCode for 5v3/4v3, applies 1.6x PP mult - Non-linear time priority: elapsed^1.5 curve weights final minutes more - Matchup multiplier rebalance: P1/P2 from 2.0/1.65 to 1.5, tiebreaker not dominant factor - Frontend gauge max raised from 700 to 1000 with adjusted color thresholds Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
101 lines
2.9 KiB
Python
101 lines
2.9 KiB
Python
import json
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import sqlite3
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import pytest
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def make_game(
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game_state="LIVE",
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home_name="Maple Leafs",
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away_name="Bruins",
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home_score=2,
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away_score=1,
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period=3,
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seconds_remaining=300,
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in_intermission=False,
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start_time_utc="2024-04-10T23:00:00Z",
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home_record="40-25-10",
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away_record="38-27-09",
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game_type=2,
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situation=None,
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series_status=None,
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):
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clock = {
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"timeRemaining": f"{seconds_remaining // 60:02d}:{seconds_remaining % 60:02d}",
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"secondsRemaining": seconds_remaining,
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"running": game_state == "LIVE",
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"inIntermission": in_intermission,
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}
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return {
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"gameState": game_state,
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"startTimeUTC": start_time_utc,
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"periodDescriptor": {"number": period},
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"clock": clock,
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"homeTeam": {
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"name": {"default": home_name},
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"score": home_score,
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"sog": 15,
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"logo": "https://example.com/home.png",
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"record": home_record,
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},
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"awayTeam": {
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"name": {"default": away_name},
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"score": away_score,
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"sog": 12,
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"logo": "https://example.com/away.png",
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"record": away_record,
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},
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"gameOutcome": {"lastPeriodType": "REG"},
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"gameType": game_type,
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**({"situation": situation} if situation is not None else {}),
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**({"seriesStatus": series_status} if series_status is not None else {}),
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}
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LIVE_GAME = make_game()
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PRE_GAME = make_game(
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game_state="FUT", home_score=0, away_score=0, period=0, seconds_remaining=1200
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)
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FINAL_GAME = make_game(game_state="OFF", period=3, seconds_remaining=0)
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SAMPLE_SCOREBOARD = {"games": [LIVE_GAME, PRE_GAME, FINAL_GAME]}
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@pytest.fixture()
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def sample_scoreboard():
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return SAMPLE_SCOREBOARD
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@pytest.fixture()
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def flask_client(tmp_path, monkeypatch):
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data_dir = tmp_path / "data"
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data_dir.mkdir()
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# Write sample scoreboard JSON
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scoreboard_file = data_dir / "scoreboard_data.json"
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scoreboard_file.write_text(json.dumps(SAMPLE_SCOREBOARD))
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# Create minimal SQLite DB so get_team_standings doesn't crash
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db_path = data_dir / "nhl_standings.db"
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conn = sqlite3.connect(str(db_path))
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conn.execute(
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"CREATE TABLE standings "
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"(team_common_name TEXT, league_sequence INTEGER, league_l10_sequence INTEGER, "
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"division_abbrev TEXT, conference_abbrev TEXT, games_played INTEGER, wildcard_sequence INTEGER)"
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)
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conn.commit()
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conn.close()
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# Patch module-level path constants so no reloads are needed
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import app.routes as routes
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import app.games as games
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monkeypatch.setattr(routes, "SCOREBOARD_DATA_FILE", str(scoreboard_file))
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monkeypatch.setattr(games, "DB_PATH", str(db_path))
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from app import app as flask_app
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flask_app.config["TESTING"] = True
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with flask_app.test_client() as client:
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yield client
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