---
phase: 01-script-architecture
plan: 03
subsystem: data-pipeline
tags: [python, scrapers, modular-architecture, nfl, orchestrator]

# Dependency graph
requires: [01-01, 01-02]
provides:
  - nfl.py NFL-specific scrapers
  - Thin orchestrator scrape_schedules.py
  - Complete Phase 1 modular architecture
affects: [02-01]

# Tech tracking
tech-stack:
  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"

key-files:
  created:
    - Scripts/nfl.py
  modified:
    - Scripts/scrape_schedules.py

key-decisions:
  - "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)"

patterns-established:
  - "Each sport module exports: {SPORT}_TEAMS, scrape_{sport}_games, {SPORT}_GAME_SOURCES"
  - "Orchestrator calls module convenience functions for core sports"

issues-created: []

# Metrics
duration: 8min
completed: 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

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