Sportstime/.planning/phases/01-script-architecture/01-03-SUMMARY.md

phase, plan, subsystem, tags, requires, provides, affects, tech-stack, key-files, key-decisions, patterns-established, issues-created, duration, completed

phase	plan	subsystem	tags	requires	provides	affects	tech-stack	key-files	key-decisions	patterns-established	issues-created	duration	completed
01-script-architecture	03	data-pipeline	python scrapers modular-architecture nfl orchestrator	01-01 01-02	nfl.py NFL-specific scrapers Thin orchestrator scrape_schedules.py Complete Phase 1 modular architecture	02-01	added patterns Sport modules provide convenience functions (scrape_{sport}_games) Orchestrator imports and calls module functions instead of inline code Non-core sports marked with TODO for future extraction	created modified Scripts/nfl.py Scripts/scrape_schedules.py	NFL uses cross-calendar-year season format (2025-26) like NBA/NHL Non-core sports (WNBA, MLS, NWSL, CBB) remain inline with TODO markers Orchestrator reduced from 3359 to 733 lines (78% reduction)	Each sport module exports: {SPORT}_TEAMS, scrape_{sport}_games, {SPORT}_GAME_SOURCES Orchestrator calls module convenience functions for core sports		8min	2026-01-10

Phase 1 Plan 03: NFL + Orchestrator Refactor Summary

Created NFL sport module and refactored scrape_schedules.py to thin orchestrator, completing Phase 1: Script Architecture

Performance

• Duration: 8 min
• Started: 2026-01-10T06:10:46Z
• Completed: 2026-01-10T06:18:23Z
• Tasks: 2
• Files modified: 2

Accomplishments

• Created Scripts/nfl.py with NFL_TEAMS (32 teams), 3 game scrapers, 3 stadium scrapers
• Refactored Scripts/scrape_schedules.py from 3359 to 733 lines (78% reduction)
• All 4 core sports (MLB, NBA, NHL, NFL) now have dedicated modules
• Phase 1: Script Architecture complete

Task Commits

Each task was committed atomically:

1. Task 1: Create nfl.py sport module - a6c9230 (feat)
2. Task 2: Refactor scrape_schedules.py to orchestrator - b93205e (feat)

Files Created/Modified

• Scripts/nfl.py - NFL team mappings, ESPN/Pro-Football-Reference/CBS scrapers, stadium scrapers
• Scripts/scrape_schedules.py - Thin orchestrator importing from sport modules

Decisions Made

• NFL uses cross-calendar-year season format (2025-26) consistent with NBA/NHL
• Non-core sports kept inline with TODO comments for future extraction phase
• Orchestrator maintains backward-compatible CLI interface

Deviations from Plan

None - plan executed exactly as written.

Issues Encountered

None

Phase 1 Complete

Phase 1: Script Architecture is now complete with all 3 plans executed:

• 01-01: core.py + mlb.py (shared utilities and first sport module)
• 01-02: nba.py + nhl.py (second and third sport modules)
• 01-03: nfl.py + orchestrator refactor (fourth sport module and thin orchestrator)

Module Architecture

Scripts/
  core.py           - Shared utilities (385 lines)
  mlb.py            - MLB scrapers (412 lines)
  nba.py            - NBA scrapers (412 lines)
  nhl.py            - NHL scrapers (412 lines)
  nfl.py            - NFL scrapers (573 lines)
  scrape_schedules.py - Orchestrator (733 lines)

Total modular code: 2,927 lines across 6 files Original monolithic: 3,359 lines in 1 file Net change: More organized, testable, maintainable code with clear separation of concerns

Next Phase Readiness

• Phase 1 complete, ready for Phase 2: Stadium Foundation
• All 4 core sports modularized with consistent patterns
• Orchestrator provides clean entry point for all scraping operations

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Phase: 01-script-architecture Completed: 2026-01-10