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
1.0 KiB
Python
53 lines
1.0 KiB
Python
"""CloudKit uploaders for sportstime-parser."""
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from .cloudkit import (
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CloudKitClient,
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CloudKitRecord,
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CloudKitError,
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CloudKitAuthError,
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CloudKitRateLimitError,
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CloudKitServerError,
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RecordType,
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OperationResult,
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BatchResult,
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)
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from .state import (
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RecordState,
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UploadSession,
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StateManager,
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)
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from .diff import (
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DiffAction,
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RecordDiff,
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DiffResult,
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RecordDiffer,
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game_to_cloudkit_record,
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team_to_cloudkit_record,
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stadium_to_cloudkit_record,
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)
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__all__ = [
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# CloudKit client
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"CloudKitClient",
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"CloudKitRecord",
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"CloudKitError",
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"CloudKitAuthError",
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"CloudKitRateLimitError",
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"CloudKitServerError",
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"RecordType",
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"OperationResult",
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"BatchResult",
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# State manager
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"RecordState",
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"UploadSession",
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"StateManager",
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# Differ
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"DiffAction",
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"RecordDiff",
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"DiffResult",
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"RecordDiffer",
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"game_to_cloudkit_record",
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"team_to_cloudkit_record",
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"stadium_to_cloudkit_record",
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]
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