Cal Corum e0d0ba59ff Optimize CLAUDE.md from 158 to 43 lines

Remove full router listing, production ops examples, and boilerplate.
Keep commands, architecture, environment table, and key constants.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-17 17:10:25 -06:00

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Paper Dynasty Database API

FastAPI backend for baseball card game data. Peewee ORM with SQLite (WAL mode).

Commands

uvicorn app.main:app --reload --host 0.0.0.0 --port 8000  # Dev server
python main.py                                              # Alt start
python db_migrations.py                                     # Run migrations
docker build -t paper-dynasty-db .                          # Build image

Architecture

Routers: Domain-based in app/routers_v2/ (cards, players, teams, packs, stats, gauntlets, scouting)
ORM: Peewee with SQLite (storage/pd_master.db, WAL journaling)
Card images: Playwright/Chromium renders HTML templates → screenshots (see routers_v2/players.py)
Logging: Rotating files in logs/database/{date}.log

Key Constants

LIVE_CARDSET_ID: 24 (current active cardset, in db_engine.py)
ranked_cardsets: Legal cardsets for ranked play
CARDSETS: Configuration for game modes and card availability

Environments

Env	URL	SSH	Container	Port
Prod	pd.manticorum.com	`akamai`	`pd_api`	815
Dev	pddev.manticorum.com	`pd-database`	`dev_pd_database`	816

Prod compose path: ssh akamai → /root/container-data/paper-dynasty Dev PostgreSQL: sba_postgres on 10.10.0.42:5432, user sba_admin, db paperdynasty_dev

Important

Docker image installs only Playwright Chromium (not all browsers) to optimize size
Teams have dynamic card pricing based on market activity
Supports both human players and AI teams
Gauntlet events use special reward structures and card pools

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