docs(01-03): complete nfl.py + orchestrator refactor plan
- Create 01-03-SUMMARY.md documenting NFL module and orchestrator refactor - Update STATE.md: Phase 1 complete, ready for Phase 2 - Update ROADMAP.md: Mark Phase 1 as complete (3/3 plans) - Phase 1 total duration: 23 min across 3 plans Phase 1: Script Architecture complete. All 4 core sports (MLB, NBA, NHL, NFL) now have dedicated modules with consistent patterns. Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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- Integer phases (1, 2, 3): Planned milestone work
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- Integer phases (1, 2, 3): Planned milestone work
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- Decimal phases (2.1, 2.2): Urgent insertions (marked with INSERTED)
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- Decimal phases (2.1, 2.2): Urgent insertions (marked with INSERTED)
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- [ ] **Phase 1: Script Architecture** - Split monolithic scripts into sport-specific modules (2/3 plans)
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- [x] **Phase 1: Script Architecture** - Split monolithic scripts into sport-specific modules (3/3 plans)
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- [ ] **Phase 2: Stadium Foundation** - Complete stadium database with coordinates and names
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- [ ] **Phase 2: Stadium Foundation** - Complete stadium database with coordinates and names
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- [ ] **Phase 3: Alias Systems** - Stadium and team alias systems for name variations
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- [ ] **Phase 3: Alias Systems** - Stadium and team alias systems for name variations
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- [ ] **Phase 4: Canonical Linking** - Correct game→team→stadium relationships
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- [ ] **Phase 4: Canonical Linking** - Correct game→team→stadium relationships
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Plans:
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Plans:
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- [x] 01-01: Create core.py shared module + mlb.py sport module
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- [x] 01-01: Create core.py shared module + mlb.py sport module
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- [x] 01-02: Create nba.py + nhl.py sport modules
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- [x] 01-02: Create nba.py + nhl.py sport modules
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- [ ] 01-03: Create nfl.py + refactor scrape_schedules.py orchestrator
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- [x] 01-03: Create nfl.py + refactor scrape_schedules.py orchestrator
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### Phase 2: Stadium Foundation
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### Phase 2: Stadium Foundation
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**Goal**: Complete stadium database with correct coordinates, names, and venue data for all 4 sports
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**Goal**: Complete stadium database with correct coordinates, names, and venue data for all 4 sports
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| Phase | Plans Complete | Status | Completed |
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| Phase | Plans Complete | Status | Completed |
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|-------|----------------|--------|-----------|
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|-------|----------------|--------|-----------|
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| 1. Script Architecture | 2/3 | In progress | - |
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| 1. Script Architecture | 3/3 | Complete | 2026-01-10 |
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| 2. Stadium Foundation | 0/TBD | Not started | - |
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| 2. Stadium Foundation | 0/TBD | Not started | - |
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| 3. Alias Systems | 0/TBD | Not started | - |
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| 3. Alias Systems | 0/TBD | Not started | - |
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| 4. Canonical Linking | 0/TBD | Not started | - |
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| 4. Canonical Linking | 0/TBD | Not started | - |
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See: .planning/PROJECT.md (updated 2026-01-09)
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See: .planning/PROJECT.md (updated 2026-01-09)
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**Core value:** Every game must correctly link to its teams and stadium — a game at the wrong venue or with broken team links ruins trip planning.
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**Core value:** Every game must correctly link to its teams and stadium — a game at the wrong venue or with broken team links ruins trip planning.
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**Current focus:** Phase 1 — Script Architecture
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**Current focus:** Phase 2 — Stadium Foundation
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## Current Position
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## Current Position
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Phase: 1 of 6 (Script Architecture)
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Phase: 2 of 6 (Stadium Foundation)
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Plan: 2 of 3 in current phase
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Plan: 0 of TBD in current phase
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Status: In progress
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Status: Ready to start
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Last activity: 2026-01-10 — Completed 01-02-PLAN.md
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Last activity: 2026-01-10 — Completed Phase 1 (Script Architecture)
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Progress: ██░░░░░░░░ 20%
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Progress: ████░░░░░░ 17% (1 of 6 phases complete)
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## Performance Metrics
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## Performance Metrics
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**Velocity:**
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**Velocity:**
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- Total plans completed: 2
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- Total plans completed: 3
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- Average duration: 7.5 min
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- Average duration: 7.7 min
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- Total execution time: 15 min
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- Total execution time: 23 min
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**By Phase:**
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**By Phase:**
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| Phase | Plans | Total | Avg/Plan |
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| Phase | Plans | Total | Avg/Plan |
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|-------|-------|-------|----------|
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|-------|-------|-------|----------|
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| 1. Script Architecture | 2/3 | 15 min | 7.5 min |
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| 1. Script Architecture | 3/3 | 23 min | 7.7 min |
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**Recent Trend:**
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**Recent Trend:**
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- Last 5 plans: 01-01 (5 min), 01-02 (10 min)
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- Last 5 plans: 01-01 (5 min), 01-02 (10 min), 01-03 (8 min)
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- Trend: —
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- Trend: Consistent
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## Accumulated Context
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## Accumulated Context
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- **01-01**: Import fallback pattern (try/except) for running from Scripts/ or project root
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- **01-01**: Import fallback pattern (try/except) for running from Scripts/ or project root
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- **01-02**: NBA/NHL use season string format (2024-25) for cross-calendar-year seasons
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- **01-02**: NBA/NHL use season string format (2024-25) for cross-calendar-year seasons
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- **01-02**: Each module has hardcoded stadium list with coordinates as reliable fallback
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- **01-02**: Each module has hardcoded stadium list with coordinates as reliable fallback
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- **01-03**: NFL uses cross-calendar-year season format (2025-26) like NBA/NHL
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- **01-03**: Non-core sports (WNBA, MLS, NWSL, CBB) remain inline with TODO markers
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### Deferred Issues
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### Deferred Issues
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@@ -56,5 +58,6 @@ None yet.
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## Session Continuity
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## Session Continuity
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Last session: 2026-01-10
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Last session: 2026-01-10
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Stopped at: Completed 01-02-PLAN.md
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Stopped at: Completed Phase 1 (Script Architecture)
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Resume file: None
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Resume file: None
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Next action: Begin Phase 2 (Stadium Foundation)
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121
.planning/phases/01-script-architecture/01-03-SUMMARY.md
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.planning/phases/01-script-architecture/01-03-SUMMARY.md
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---
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phase: 01-script-architecture
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plan: 03
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subsystem: data-pipeline
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tags: [python, scrapers, modular-architecture, nfl, orchestrator]
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# Dependency graph
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requires: [01-01, 01-02]
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provides:
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- nfl.py NFL-specific scrapers
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- Thin orchestrator scrape_schedules.py
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- Complete Phase 1 modular architecture
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affects: [02-01]
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# Tech tracking
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tech-stack:
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added: []
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patterns:
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- "Sport modules provide convenience functions (scrape_{sport}_games)"
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- "Orchestrator imports and calls module functions instead of inline code"
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- "Non-core sports marked with TODO for future extraction"
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key-files:
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created:
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- Scripts/nfl.py
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modified:
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- Scripts/scrape_schedules.py
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key-decisions:
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- "NFL uses cross-calendar-year season format (2025-26) like NBA/NHL"
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- "Non-core sports (WNBA, MLS, NWSL, CBB) remain inline with TODO markers"
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- "Orchestrator reduced from 3359 to 733 lines (78% reduction)"
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patterns-established:
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- "Each sport module exports: {SPORT}_TEAMS, scrape_{sport}_games, {SPORT}_GAME_SOURCES"
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- "Orchestrator calls module convenience functions for core sports"
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issues-created: []
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# Metrics
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duration: 8min
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completed: 2026-01-10
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---
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# Phase 1 Plan 03: NFL + Orchestrator Refactor Summary
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**Created NFL sport module and refactored scrape_schedules.py to thin orchestrator, completing Phase 1: Script Architecture**
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## Performance
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- **Duration:** 8 min
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- **Started:** 2026-01-10T06:10:46Z
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- **Completed:** 2026-01-10T06:18:23Z
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- **Tasks:** 2
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- **Files modified:** 2
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## Accomplishments
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- Created `Scripts/nfl.py` with NFL_TEAMS (32 teams), 3 game scrapers, 3 stadium scrapers
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- Refactored `Scripts/scrape_schedules.py` from 3359 to 733 lines (78% reduction)
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- All 4 core sports (MLB, NBA, NHL, NFL) now have dedicated modules
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- Phase 1: Script Architecture complete
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## Task Commits
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Each task was committed atomically:
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1. **Task 1: Create nfl.py sport module** - `a6c9230` (feat)
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2. **Task 2: Refactor scrape_schedules.py to orchestrator** - `b93205e` (feat)
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## Files Created/Modified
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- `Scripts/nfl.py` - NFL team mappings, ESPN/Pro-Football-Reference/CBS scrapers, stadium scrapers
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- `Scripts/scrape_schedules.py` - Thin orchestrator importing from sport modules
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## Decisions Made
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- NFL uses cross-calendar-year season format (2025-26) consistent with NBA/NHL
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- Non-core sports kept inline with TODO comments for future extraction phase
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- Orchestrator maintains backward-compatible CLI interface
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## Deviations from Plan
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None - plan executed exactly as written.
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## Issues Encountered
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None
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## Phase 1 Complete
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Phase 1: Script Architecture is now complete with all 3 plans executed:
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- 01-01: core.py + mlb.py (shared utilities and first sport module)
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- 01-02: nba.py + nhl.py (second and third sport modules)
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- 01-03: nfl.py + orchestrator refactor (fourth sport module and thin orchestrator)
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### Module Architecture
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```
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Scripts/
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core.py - Shared utilities (385 lines)
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mlb.py - MLB scrapers (412 lines)
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nba.py - NBA scrapers (412 lines)
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nhl.py - NHL scrapers (412 lines)
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nfl.py - NFL scrapers (573 lines)
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scrape_schedules.py - Orchestrator (733 lines)
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```
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**Total modular code:** 2,927 lines across 6 files
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**Original monolithic:** 3,359 lines in 1 file
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**Net change:** More organized, testable, maintainable code with clear separation of concerns
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## Next Phase Readiness
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- Phase 1 complete, ready for Phase 2: Stadium Foundation
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- All 4 core sports modularized with consistent patterns
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- Orchestrator provides clean entry point for all scraping operations
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---
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*Phase: 01-script-architecture*
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*Completed: 2026-01-10*
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