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>
47 lines
1.0 KiB
Python
47 lines
1.0 KiB
Python
"""Scrapers for fetching sports data from various sources."""
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from .base import (
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BaseScraper,
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RawGameData,
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ScrapeResult,
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ScraperError,
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PartialDataError,
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)
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from .nba import NBAScraper, create_nba_scraper
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from .mlb import MLBScraper, create_mlb_scraper
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from .nfl import NFLScraper, create_nfl_scraper
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from .nhl import NHLScraper, create_nhl_scraper
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from .mls import MLSScraper, create_mls_scraper
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from .wnba import WNBAScraper, create_wnba_scraper
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from .nwsl import NWSLScraper, create_nwsl_scraper
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__all__ = [
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# Base
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"BaseScraper",
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"RawGameData",
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"ScrapeResult",
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"ScraperError",
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"PartialDataError",
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# NBA
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"NBAScraper",
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"create_nba_scraper",
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# MLB
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"MLBScraper",
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"create_mlb_scraper",
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# NFL
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"NFLScraper",
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"create_nfl_scraper",
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# NHL
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"NHLScraper",
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"create_nhl_scraper",
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# MLS
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"MLSScraper",
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"create_mls_scraper",
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# WNBA
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"WNBAScraper",
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"create_wnba_scraper",
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# NWSL
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"NWSLScraper",
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"create_nwsl_scraper",
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]
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