52d445bca4
Complete Python package for scraping, normalizing, and uploading sports schedule data to CloudKit. Includes: - Multi-source scrapers for NBA, MLB, NFL, NHL, MLS, WNBA, NWSL - Canonical ID system for teams, stadiums, and games - Fuzzy matching with manual alias support - CloudKit uploader with batch operations and deduplication - Comprehensive test suite with fixtures - WNBA abbreviation aliases for improved team resolution - Alias validation script to detect orphan references All 5 phases of data remediation plan completed: - Phase 1: Alias fixes (team/stadium alias additions) - Phase 2: NHL stadium coordinate fixes - Phase 3: Re-scrape validation - Phase 4: iOS bundle update - Phase 5: Code quality improvements (WNBA aliases) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
53 lines
1022 B
Python
53 lines
1022 B
Python
"""Data models for sportstime-parser."""
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from .game import Game, save_games, load_games
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from .team import Team, save_teams, load_teams
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from .stadium import Stadium, save_stadiums, load_stadiums
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from .aliases import (
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AliasType,
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ReviewReason,
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TeamAlias,
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StadiumAlias,
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FuzzyMatch,
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ManualReviewItem,
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)
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from .sport import (
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Sport,
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LeagueStructure,
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LeagueStructureType,
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save_sports,
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load_sports,
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save_league_structures,
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load_league_structures,
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)
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__all__ = [
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# Game
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"Game",
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"save_games",
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"load_games",
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# Team
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"Team",
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"save_teams",
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"load_teams",
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# Stadium
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"Stadium",
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"save_stadiums",
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"load_stadiums",
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# Aliases
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"AliasType",
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"ReviewReason",
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"TeamAlias",
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"StadiumAlias",
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"FuzzyMatch",
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"ManualReviewItem",
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# Sport and League Structure
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"Sport",
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"LeagueStructure",
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"LeagueStructureType",
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"save_sports",
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"load_sports",
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"save_league_structures",
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"load_league_structures",
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]
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