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

# Dependency graph
requires: []
provides:
  - core.py shared utilities module
  - mlb.py MLB-specific scrapers
  - Multi-source fallback pattern for scrapers
affects: [01-02, 01-03]

# Tech tracking
tech-stack:
  added: []
  patterns:
    - "Sport-specific modules import from core.py"
    - "ScraperSource/StadiumScraperSource for fallback configuration"
    - "get_{sport}_team_abbrev() in each sport module"

key-files:
  created:
    - Scripts/core.py
    - Scripts/mlb.py
  modified: []

key-decisions:
  - "Each sport module has its own get_team_abbrev function for independence"
  - "Import fallback pattern (try/except) for running from Scripts/ or project root"

patterns-established:
  - "core.py exports shared utilities via __all__"
  - "Sport modules import from core, define team mappings, scrapers, source configs"

issues-created: []

# Metrics
duration: 5min
completed: 2026-01-10
---

# Phase 1 Plan 01: Core + MLB Modules Summary

**Created core.py shared utilities and mlb.py as the first sport module, establishing the modular pattern for subsequent sports**

## Performance

- **Duration:** 5 min
- **Started:** 2026-01-10T05:53:50Z
- **Completed:** 2026-01-10T05:59:10Z
- **Tasks:** 2
- **Files modified:** 2

## Accomplishments

- Created `Scripts/core.py` with all shared utilities (rate limiting, dataclasses, fallback system, export)
- Created `Scripts/mlb.py` with MLB_TEAMS, 3 game scrapers, 3 stadium scrapers, and source configs
- Established modular pattern that NBA, NHL, NFL will follow

## Task Commits

Each task was committed atomically:

1. **Task 1: Create core.py shared module** - `edbb5db` (feat)
2. **Task 2: Create mlb.py sport module** - `cdf4c77` (feat)

## Files Created/Modified

- `Scripts/core.py` - Shared utilities: rate limiting, Game/Stadium dataclasses, fallback system, ID generation, export
- `Scripts/mlb.py` - MLB team mappings, Baseball-Reference/Stats API/ESPN scrapers, stadium scrapers, source configs

## Decisions Made

- Each sport module defines its own `get_{sport}_team_abbrev()` function rather than a shared one — keeps modules independent
- Used try/except import pattern to support both direct execution (`python mlb.py`) and import from project root

## Deviations from Plan

None - plan executed exactly as written.

## Issues Encountered

None

## Next Phase Readiness

- core.py and mlb.py pattern established
- Ready for 01-02-PLAN.md (nba.py + nhl.py modules)

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