Port the Python calc layer to Rust: league stat distributions (avg excludes zeros,
stdev N-1 includes zeros), weighted standardized matchup scoring with switch-hitter
resolution and pitcher inversion, and SHA-256-validated score cache with automatic
rebuild after card imports. 105 tests passing (76 unit + 5 integration + 24 DB).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Port the full data ingestion layer from Python to Rust:
- Typed API client with 10 endpoints, serde response types, and error handling
- Team/player/transaction sync with proper upsert semantics (preserves hand field)
- Batter and pitcher CSV importers with 40+ column mappings each
- Parse helpers for float/int/endurance with 21 unit tests
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Set up lib.rs for integration test access, add 50 tests covering
calc engine (weights, standardization), model helpers (Player positions,
Lineup JSON roundtrips), and full query layer (in-memory SQLite).
Update PHASE1_PROJECT_PLAN.json to reflect all 12 tasks completed.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Wire up the full data pipeline for the Rust TUI rewrite:
- SQL schema creation for all 9 tables with correct types, FKs, and constraints
- 20 async query functions (teams, players, cards, lineups, sync status, cache)
- Config loading via figment integrated into main.rs startup flow
- App struct now holds SqlitePool and Settings for screen access
- Roster aggregate query and Lineup JSON helper methods
- Added csv, sha2, regex crates for upcoming phases
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Initialize rust/ subdirectory with ratatui + tokio + sqlx stack,
mirroring the Python module structure. Includes all DB models,
config loader, matchup scoring logic, and screen stubs that
compile cleanly with cargo check.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
