6101 lines
223 KiB
Python
6101 lines
223 KiB
Python
#!/usr/bin/env python3
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"""
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Commander AI Lab — FastAPI Backend v3
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═════════════════════════════════════
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v3 adds:
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POST /api/lab/import/url — Import deck from Archidekt/EDHREC URL
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POST /api/lab/import/text — Import deck from card list text
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GET /api/lab/meta/commanders — List available commanders in meta mapping
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GET /api/lab/meta/search — Search commanders by name
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POST /api/lab/meta/fetch — Fetch EDHREC average deck for a commander
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POST /api/lab/start — Extended: accepts imported deck profiles
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Runs on port 8080 by default. Serves the web UI static files at /.
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"""
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import argparse
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import asyncio
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import csv
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import io
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import json
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import os
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import re
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import sqlite3
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import subprocess
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import sys
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import threading
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import time
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import uuid
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from datetime import datetime
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from pathlib import Path
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from typing import Optional
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from urllib.request import urlopen, Request
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from urllib.error import URLError
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try:
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from fastapi import FastAPI, HTTPException, BackgroundTasks, Request as FastAPIRequest
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from fastapi.middleware.cors import CORSMiddleware
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from fastapi.responses import FileResponse, JSONResponse, StreamingResponse
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from fastapi.staticfiles import StaticFiles
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from pydantic import BaseModel
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except ImportError:
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print("ERROR: FastAPI not installed. Run: pip install fastapi uvicorn")
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sys.exit(1)
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# ══════════════════════════════════════════════════════════════
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# Configuration
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# ══════════════════════════════════════════════════════════════
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class Config:
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"""Runtime configuration — set via CLI args or env vars."""
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forge_jar: str = ""
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forge_dir: str = ""
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forge_decks_dir: str = ""
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lab_jar: str = ""
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results_dir: str = "results"
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port: int = 8080
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ximilar_api_key: str = ""
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CFG = Config()
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# ══════════════════════════════════════════════════════════════
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# App Setup
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# ══════════════════════════════════════════════════════════════
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app = FastAPI(title="Commander AI Lab API", version="3.0.0")
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app.add_middleware(
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CORSMiddleware,
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allow_origins=["*"],
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# ══════════════════════════════════════════════════════════════
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# In-Memory State
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# ══════════════════════════════════════════════════════════════
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class BatchState:
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"""Tracks a running or completed batch."""
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def __init__(self, batch_id: str, total_games: int, threads: int):
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self.batch_id = batch_id
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self.total_games = total_games
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self.threads = threads
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self.completed_games = 0
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self.running = True
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self.start_time = datetime.now()
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self.elapsed_ms = 0
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self.result_path: Optional[str] = None
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self.error: Optional[str] = None
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self.process: Optional[subprocess.Popen] = None
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self.log_lines: list = []
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active_batches: dict[str, BatchState] = {}
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# Commander meta mapping (loaded at startup)
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COMMANDER_META: dict = {}
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# ══════════════════════════════════════════════════════════════
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# Request / Response Models
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# ══════════════════════════════════════════════════════════════
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class StartRequest(BaseModel):
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decks: list[str] # Exactly 3 deck names
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numGames: int = 100
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threads: int = 4
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seed: Optional[int] = None
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clock: int = 120
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# v3: Optional source metadata per deck
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deckSources: Optional[list[Optional[dict]]] = None # [{source, sourceUrl, commander, archetype}]
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# v8: Learned policy support
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useLearnedPolicy: bool = False
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policyStyle: str = "midrange"
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policyGreedy: bool = False
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class StartResponse(BaseModel):
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batchId: str
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status: str = "started"
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message: str = ""
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class StatusResponse(BaseModel):
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batchId: str
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running: bool
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completed: int
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total: int
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threads: int
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elapsedMs: int
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error: Optional[str] = None
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class DeckInfo(BaseModel):
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name: str
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filename: str
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class ImportUrlRequest(BaseModel):
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url: str
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class ImportTextRequest(BaseModel):
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text: str
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commander: Optional[str] = None
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class MetaFetchRequest(BaseModel):
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commander: str
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# ── Deck Builder Models ────────────────────────────────────────
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class CreateDeckRequest(BaseModel):
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name: str
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commander_scryfall_id: Optional[str] = ""
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commander_name: Optional[str] = ""
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color_identity: Optional[list] = []
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strategy_tag: Optional[str] = ""
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class UpdateDeckRequest(BaseModel):
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name: Optional[str] = None
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commander_scryfall_id: Optional[str] = None
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commander_name: Optional[str] = None
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color_identity: Optional[list] = None
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strategy_tag: Optional[str] = None
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class AddDeckCardRequest(BaseModel):
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scryfall_id: str
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card_name: Optional[str] = ""
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quantity: Optional[int] = 1
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is_commander: Optional[int] = 0
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role_tag: Optional[str] = ""
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class PatchDeckCardRequest(BaseModel):
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quantity: Optional[int] = None
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role_tag: Optional[str] = None
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class BulkAddRequest(BaseModel):
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cards: list[dict] # [{scryfall_id, quantity}]
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respect_ratios: Optional[bool] = False
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class BulkAddRecommendedRequest(BaseModel):
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source: str = "collection" # "collection" | "edhrec"
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only_owned: Optional[bool] = True
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respect_ratios: Optional[bool] = False
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types: Optional[list[str]] = None
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roles: Optional[list[str]] = None
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# ── Auto Deck Generator Models ─────────────────────────────────────
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class DeckGenerationSourceConfig(BaseModel):
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use_archidekt: bool = True
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use_edhrec: bool = True
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use_moxfield: bool = False
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use_mtggoldfish: bool = False
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archidekt_url: Optional[str] = ""
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moxfield_url: Optional[str] = ""
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mtggoldfish_url: Optional[str] = ""
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class DeckGenerationRequest(BaseModel):
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commander_name: Optional[str] = ""
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commander_scryfall_id: Optional[str] = ""
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color_identity: Optional[list[str]] = None
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sources: Optional[DeckGenerationSourceConfig] = None
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target_land_count: int = 37
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target_instant_count: int = 10
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target_sorcery_count: int = 8
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target_artifact_count: int = 10
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target_enchantment_count: int = 8
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target_creature_count: int = 25
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target_planeswalker_count: int = 2
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only_cards_in_collection: bool = False
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allow_proxies: bool = True
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deck_name: Optional[str] = ""
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class GeneratedDeckCard(BaseModel):
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scryfall_id: str = ""
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name: str = ""
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type_line: str = ""
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mana_cost: str = ""
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cmc: float = 0
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card_type: str = "" # Land / Creature / Instant / etc.
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roles: list[str] = []
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source: str = "collection" # collection / edhrec / archidekt / template
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quantity: int = 1
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image_url: str = ""
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owned_qty: int = 0
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is_proxy: bool = False
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# ══════════════════════════════════════════════════════════════
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# v3: Deck Import & Meta Endpoints
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# ══════════════════════════════════════════════════════════════
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@app.post("/api/lab/import/url")
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async def import_from_url(req: ImportUrlRequest):
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"""Import a deck from Archidekt or EDHREC URL. Returns parsed DeckProfile + saves .dck file."""
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url = req.url.strip()
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try:
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profile = _import_from_url(url)
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dck_path = _save_profile_to_dck(profile)
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return {
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"success": True,
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"deckName": profile["name"],
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"commander": profile["commander"],
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"source": profile["source"],
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"sourceUrl": profile["sourceUrl"],
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"totalCards": profile["totalCards"],
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"dckFile": dck_path.stem,
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"colorIdentity": profile.get("colorIdentity", []),
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"archetype": profile.get("archetype"),
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}
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except Exception as e:
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raise HTTPException(400, str(e))
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@app.post("/api/lab/import/text")
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async def import_from_text(req: ImportTextRequest):
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"""Import a deck from plain text card list."""
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try:
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profile = _parse_text_decklist(req.text, req.commander)
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dck_path = _save_profile_to_dck(profile)
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return {
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"success": True,
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"deckName": profile["name"],
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"commander": profile["commander"],
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"source": "Text Import",
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"totalCards": profile["totalCards"],
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"dckFile": dck_path.stem,
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}
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except Exception as e:
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raise HTTPException(400, str(e))
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@app.get("/api/lab/meta/commanders")
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async def list_meta_commanders():
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"""List available commanders in the meta mapping."""
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commanders = []
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for name, entries in COMMANDER_META.items():
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entry = entries[0] if entries else {}
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commanders.append({
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"name": name,
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"archetype": entry.get("archetype", ""),
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"colorIdentity": entry.get("colorIdentity", []),
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"source": entry.get("source", "edhrec"),
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})
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return {"commanders": commanders}
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@app.get("/api/lab/meta/search")
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async def search_meta_commanders(q: str = ""):
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"""Search commanders by partial name match."""
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query = q.lower()
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matches = []
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for name, entries in COMMANDER_META.items():
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if query in name.lower():
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entry = entries[0] if entries else {}
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matches.append({
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"name": name,
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"archetype": entry.get("archetype", ""),
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"colorIdentity": entry.get("colorIdentity", []),
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})
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return {"results": matches}
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@app.post("/api/lab/meta/fetch")
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async def fetch_meta_deck(req: MetaFetchRequest):
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"""Fetch EDHREC average deck for a commander and save as .dck file."""
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try:
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profile = _fetch_edhrec_average(req.commander)
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dck_path = _save_profile_to_dck(profile)
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return {
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"success": True,
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"deckName": profile["name"],
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"commander": profile["commander"],
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"source": "EDHREC Average",
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"sourceUrl": profile.get("sourceUrl", ""),
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"totalCards": profile["totalCards"],
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"dckFile": dck_path.stem,
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"colorIdentity": profile.get("colorIdentity", []),
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"sampleSize": profile.get("sampleSize"),
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}
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except Exception as e:
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raise HTTPException(400, f"Failed to fetch meta deck for '{req.commander}': {str(e)}")
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# ══════════════════════════════════════════════════════════════
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# Existing Endpoints (v1/v2)
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# ══════════════════════════════════════════════════════════════
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@app.post("/api/lab/start", response_model=StartResponse)
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async def start_batch(req: StartRequest, background_tasks: BackgroundTasks):
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"""Start a new batch simulation run."""
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if len(req.decks) != 3:
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raise HTTPException(400, "Exactly 3 decks required")
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if not all(req.decks):
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raise HTTPException(400, "All 3 deck slots must be filled")
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if req.numGames < 1 or req.numGames > 10000:
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raise HTTPException(400, "numGames must be 1-10000")
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if req.threads < 1 or req.threads > 16:
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raise HTTPException(400, "threads must be 1-16")
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if not os.path.exists(CFG.forge_jar):
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raise HTTPException(500, f"Forge JAR not found: {CFG.forge_jar}")
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if not os.path.isdir(CFG.forge_dir):
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raise HTTPException(500, f"Forge dir not found: {CFG.forge_dir}")
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batch_id = str(uuid.uuid4())[:12]
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state = BatchState(batch_id, req.numGames, req.threads)
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active_batches[batch_id] = state
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os.makedirs(CFG.results_dir, exist_ok=True)
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output_path = os.path.join(CFG.results_dir, f"batch-{batch_id}.json")
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state.result_path = output_path
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background_tasks.add_task(
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run_batch_subprocess,
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state,
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req.decks,
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req.numGames,
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req.threads,
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req.seed,
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req.clock,
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output_path,
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req.useLearnedPolicy,
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req.policyStyle,
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req.policyGreedy,
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)
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policy_msg = ""
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if req.useLearnedPolicy:
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policy_msg = f" [Learned Policy: {req.policyStyle}]"
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return StartResponse(
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batchId=batch_id,
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status="started",
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message=f"Running {req.numGames} games with {req.threads} threads{policy_msg}",
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)
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@app.get("/api/lab/status", response_model=StatusResponse)
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async def get_status(batchId: str):
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state = active_batches.get(batchId)
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if not state:
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raise HTTPException(404, f"Batch {batchId} not found")
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elapsed = int((datetime.now() - state.start_time).total_seconds() * 1000)
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return StatusResponse(
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batchId=state.batch_id,
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running=state.running,
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completed=state.completed_games,
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total=state.total_games,
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threads=state.threads,
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elapsedMs=elapsed if state.running else state.elapsed_ms,
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error=state.error,
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)
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@app.get("/api/lab/result")
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async def get_result(batchId: str):
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state = active_batches.get(batchId)
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if not state:
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raise HTTPException(404, f"Batch {batchId} not found")
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if state.running:
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raise HTTPException(409, "Batch still running")
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if state.error:
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raise HTTPException(500, state.error)
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if not state.result_path or not os.path.exists(state.result_path):
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raise HTTPException(500, "Result file not found")
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with open(state.result_path, "r", encoding="utf-8") as f:
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data = json.load(f)
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return JSONResponse(content=data)
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@app.get("/api/lab/decks")
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async def list_decks():
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decks = []
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seen_names = set()
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# 1. Forge .dck files from decks directory
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decks_dir = CFG.forge_decks_dir
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if decks_dir and os.path.isdir(decks_dir):
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for f in sorted(Path(decks_dir).glob("*.dck")):
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deck_name = f.stem
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decks.append({"name": deck_name, "filename": f.name, "source": "forge"})
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seen_names.add(deck_name.lower())
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# 2. Decks from the Deck Builder database
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try:
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conn = _get_db_conn()
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rows = conn.execute(
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"SELECT id, name, commander_name FROM decks ORDER BY id DESC"
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).fetchall()
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for row in rows:
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db_name = row["name"]
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if db_name.lower() not in seen_names:
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decks.append({
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"name": db_name,
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"filename": "",
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"source": "deckbuilder",
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"deck_id": row["id"],
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"commander": row["commander_name"] or "",
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})
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seen_names.add(db_name.lower())
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except Exception as e:
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print(f" WARNING: Failed to load DB decks for /api/lab/decks: {e}")
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return {"decks": decks}
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@app.get("/api/lab/history")
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async def list_history():
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results_dir = Path(CFG.results_dir)
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if not results_dir.exists():
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return {"results": []}
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results = []
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for f in sorted(results_dir.glob("batch-*.json"), reverse=True):
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try:
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with open(f, "r", encoding="utf-8") as fh:
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data = json.load(fh)
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meta = data.get("metadata", {})
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decks = data.get("decks", [])
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results.append({
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"filename": f.name,
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"batchId": meta.get("batchId", ""),
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"timestamp": meta.get("timestamp", ""),
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"totalGames": meta.get("completedGames", 0),
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"threads": meta.get("threads", 1),
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"elapsedMs": meta.get("elapsedMs", 0),
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"decks": [{"name": d.get("deckName", ""), "source": d.get("source", "")} for d in decks],
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})
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except Exception:
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continue
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return {"results": results[:50]}
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# ════════════════════════════════════════════════════════════
|
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# AI Profiles
|
|
# ════════════════════════════════════════════════════════════
|
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|
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AI_PROFILES = {
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"default": {
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"name": "default",
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"description": "Balanced \u2014 Forge's default AI behavior",
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"aggression": 0.5, "cardAdvantage": 0.5, "removalPriority": 0.5,
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"boardPresence": 0.5, "comboPriority": 0.3, "patience": 0.5,
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},
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"aggro": {
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"name": "aggro",
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"description": "Aggressive \u2014 attacks early, prioritizes damage",
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"aggression": 0.9, "cardAdvantage": 0.3, "removalPriority": 0.3,
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"boardPresence": 0.8, "comboPriority": 0.1, "patience": 0.1,
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},
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"control": {
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"name": "control",
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"description": "Control \u2014 defensive, removal-heavy, card advantage",
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"aggression": 0.2, "cardAdvantage": 0.9, "removalPriority": 0.9,
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"boardPresence": 0.3, "comboPriority": 0.4, "patience": 0.9,
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},
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"combo": {
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"name": "combo",
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"description": "Combo \u2014 ramps, digs for pieces, assembles combos",
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"aggression": 0.2, "cardAdvantage": 0.8, "removalPriority": 0.4,
|
|
"boardPresence": 0.3, "comboPriority": 0.95, "patience": 0.7,
|
|
},
|
|
"midrange": {
|
|
"name": "midrange",
|
|
"description": "Midrange \u2014 flexible, strong board presence, value-oriented",
|
|
"aggression": 0.5, "cardAdvantage": 0.6, "removalPriority": 0.6,
|
|
"boardPresence": 0.7, "comboPriority": 0.3, "patience": 0.5,
|
|
},
|
|
}
|
|
|
|
@app.get("/api/lab/profiles")
|
|
async def list_profiles():
|
|
return {"profiles": list(AI_PROFILES.values())}
|
|
|
|
@app.get("/api/lab/profiles/{name}")
|
|
async def get_profile(name: str):
|
|
profile = AI_PROFILES.get(name.lower())
|
|
if not profile:
|
|
raise HTTPException(404, f"Profile '{name}' not found. Available: {list(AI_PROFILES.keys())}")
|
|
return profile
|
|
|
|
|
|
@app.get("/api/lab/analytics/{deck_name}")
|
|
async def analyze_deck(deck_name: str):
|
|
decks_dir = CFG.forge_decks_dir
|
|
if not decks_dir or not os.path.isdir(decks_dir):
|
|
raise HTTPException(500, f"Decks directory not found: {decks_dir}")
|
|
deck_path = os.path.join(decks_dir, deck_name + ".dck")
|
|
if not os.path.exists(deck_path):
|
|
for f in os.listdir(decks_dir):
|
|
if f.lower() == deck_name.lower() + ".dck":
|
|
deck_path = os.path.join(decks_dir, f)
|
|
break
|
|
else:
|
|
raise HTTPException(404, f"Deck not found: {deck_name}")
|
|
try:
|
|
analysis = parse_dck_file(deck_path)
|
|
return analysis
|
|
except Exception as e:
|
|
raise HTTPException(500, f"Analysis failed: {str(e)}")
|
|
|
|
|
|
def parse_dck_file(deck_path: str) -> dict:
|
|
cards = []
|
|
commander = None
|
|
section = "Main"
|
|
deck_name = Path(deck_path).stem
|
|
with open(deck_path, "r", encoding="utf-8") as f:
|
|
for line in f:
|
|
line = line.strip()
|
|
if not line or line.startswith("//"):
|
|
continue
|
|
if line.startswith("[") and line.endswith("]"):
|
|
section = line[1:-1]
|
|
continue
|
|
if line.startswith("Name="):
|
|
deck_name = line[5:].strip()
|
|
continue
|
|
m = re.match(r"^(\d+)\s+(.+?)(?:\|(.+))?$", line)
|
|
if m:
|
|
qty = int(m.group(1))
|
|
name = m.group(2).strip()
|
|
set_code = m.group(3).strip() if m.group(3) else ""
|
|
cards.append({"quantity": qty, "name": name, "set": set_code, "section": section})
|
|
if section == "Commander":
|
|
commander = name
|
|
total = sum(c["quantity"] for c in cards)
|
|
return {
|
|
"deckName": deck_name,
|
|
"commanderName": commander,
|
|
"totalCards": total,
|
|
"cardCount": len(cards),
|
|
"cards": cards[:200],
|
|
}
|
|
|
|
|
|
@app.get("/api/lab/trends/{deck_name}")
|
|
async def get_deck_trends(deck_name: str):
|
|
results_dir = Path(CFG.results_dir)
|
|
if not results_dir.exists():
|
|
return {"deckName": deck_name, "history": []}
|
|
history = []
|
|
for f in sorted(results_dir.glob("batch-*.json")):
|
|
try:
|
|
with open(f, "r", encoding="utf-8") as fh:
|
|
data = json.load(fh)
|
|
summary = data.get("summary", {})
|
|
meta = data.get("metadata", {})
|
|
per_deck = summary.get("perDeck", [])
|
|
for ds in per_deck:
|
|
if ds.get("deckName", "").lower() == deck_name.lower():
|
|
history.append({
|
|
"batchId": meta.get("batchId"),
|
|
"timestamp": meta.get("timestamp"),
|
|
"winRate": ds.get("winRate", 0),
|
|
"wins": ds.get("wins", 0),
|
|
"losses": ds.get("losses", 0),
|
|
"draws": ds.get("draws", 0),
|
|
"totalGames": meta.get("completedGames", 0),
|
|
})
|
|
break
|
|
except Exception:
|
|
continue
|
|
return {"deckName": deck_name, "history": history}
|
|
|
|
|
|
@app.get("/api/lab/log")
|
|
async def get_log(batchId: str):
|
|
state = active_batches.get(batchId)
|
|
if not state:
|
|
raise HTTPException(404, f"Batch {batchId} not found")
|
|
return {"lines": state.log_lines[-200:]}
|
|
|
|
|
|
@app.get("/api/lab/debug-log")
|
|
async def get_debug_log():
|
|
"""Return the raw Forge subprocess debug log for diagnosing simulation issues."""
|
|
# Check multiple possible locations for the debug log
|
|
candidates = []
|
|
if CFG.forge_dir:
|
|
candidates.append(Path(CFG.forge_dir).parent / "forge-sim-debug.log")
|
|
candidates.append(Path(CFG.forge_dir) / "forge-sim-debug.log")
|
|
candidates.append(Path("forge-sim-debug.log"))
|
|
|
|
for log_path in candidates:
|
|
if log_path.exists():
|
|
text = log_path.read_text(encoding="utf-8", errors="replace")
|
|
# Return last 50KB to avoid huge responses
|
|
if len(text) > 50000:
|
|
text = "... (truncated) ...\n" + text[-50000:]
|
|
return {"path": str(log_path), "content": text}
|
|
|
|
return {"path": None, "content": "No debug log found. Run a simulation first."}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Precon Decks
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
PRECON_DIR = Path(__file__).parent / "precon-decks"
|
|
PRECON_INDEX: list[dict] = []
|
|
|
|
|
|
def load_precon_index():
|
|
global PRECON_INDEX
|
|
idx_path = PRECON_DIR / "precon-index.json"
|
|
if idx_path.exists():
|
|
with open(idx_path, "r", encoding="utf-8") as f:
|
|
PRECON_INDEX = json.load(f)
|
|
print(f" Precons: {len(PRECON_INDEX)} precon decks loaded")
|
|
else:
|
|
PRECON_INDEX = []
|
|
print(f" Precons: index not found at {idx_path}")
|
|
|
|
|
|
@app.get("/api/lab/precons")
|
|
async def list_precons():
|
|
"""List all available precon decks."""
|
|
return {"precons": PRECON_INDEX}
|
|
|
|
|
|
@app.post("/api/lab/precons/install")
|
|
async def install_precon(req: dict):
|
|
"""Install a precon deck to the Forge decks directory.
|
|
Body: {"fileName": "Elven_Empire.dck"}
|
|
"""
|
|
file_name = req.get("fileName", "")
|
|
if not file_name:
|
|
raise HTTPException(400, "fileName is required")
|
|
|
|
src = PRECON_DIR / file_name
|
|
if not src.exists():
|
|
raise HTTPException(404, f"Precon not found: {file_name}")
|
|
|
|
decks_dir = CFG.forge_decks_dir
|
|
if not decks_dir or not os.path.isdir(decks_dir):
|
|
raise HTTPException(500, f"Forge decks directory not found: {decks_dir}")
|
|
|
|
import shutil
|
|
dst = Path(decks_dir) / file_name
|
|
shutil.copy2(str(src), str(dst))
|
|
|
|
deck_name = file_name.replace(".dck", "")
|
|
return {
|
|
"installed": True,
|
|
"deckName": deck_name,
|
|
"destination": str(dst),
|
|
"message": f"Installed {deck_name} to Forge decks",
|
|
}
|
|
|
|
|
|
@app.post("/api/lab/precons/install-batch")
|
|
async def install_precons_batch(req: dict):
|
|
"""Install multiple precon decks at once.
|
|
Body: {"fileNames": ["Elven_Empire.dck", "Necron_Dynasties.dck"]}
|
|
"""
|
|
file_names = req.get("fileNames", [])
|
|
if not file_names:
|
|
raise HTTPException(400, "fileNames list is required")
|
|
|
|
decks_dir = CFG.forge_decks_dir
|
|
if not decks_dir or not os.path.isdir(decks_dir):
|
|
raise HTTPException(500, f"Forge decks directory not found: {decks_dir}")
|
|
|
|
import shutil
|
|
results = []
|
|
for file_name in file_names:
|
|
src = PRECON_DIR / file_name
|
|
if not src.exists():
|
|
results.append({"fileName": file_name, "installed": False, "error": "not found"})
|
|
continue
|
|
dst = Path(decks_dir) / file_name
|
|
shutil.copy2(str(src), str(dst))
|
|
deck_name = file_name.replace(".dck", "")
|
|
results.append({"fileName": file_name, "installed": True, "deckName": deck_name})
|
|
|
|
return {"results": results}
|
|
|
|
|
|
# ── Precon Auto-Download from GitHub ─────────────────────────
|
|
|
|
GITHUB_PRECON_URL = (
|
|
"https://raw.githubusercontent.com/taw/magic-preconstructed-decks-data/"
|
|
"master/decks_v2.json"
|
|
)
|
|
PRECON_CACHE_HOURS = 168 # re-download weekly
|
|
|
|
|
|
def _color_identity_from_cards(deck_data: dict) -> list[str]:
|
|
"""Extract approximate color identity from commander section."""
|
|
# The data doesn't include color info directly, so we track what we can
|
|
# from commander names — but we just leave it as a searchable field.
|
|
return []
|
|
|
|
|
|
def _sanitize_filename(name: str) -> str:
|
|
"""Turn a deck name into a safe filename."""
|
|
safe = re.sub(r'[<>:"/\\|?*]', '', name)
|
|
safe = safe.replace(' ', '_').replace("'", '').replace('!', '')
|
|
safe = re.sub(r'_+', '_', safe).strip('_')
|
|
return safe
|
|
|
|
|
|
def _deck_to_dck(deck_data: dict) -> str:
|
|
"""Convert a deck entry from decks_v2.json into .dck format."""
|
|
lines = []
|
|
lines.append("[metadata]")
|
|
lines.append(f"Name={deck_data['name']}")
|
|
|
|
# Commander section
|
|
commanders = deck_data.get('commander', [])
|
|
if commanders:
|
|
lines.append("[Commander]")
|
|
for card in commanders:
|
|
count = card.get('count', 1)
|
|
lines.append(f"{count} {card['name']}")
|
|
|
|
# Main deck
|
|
cards = deck_data.get('cards', [])
|
|
if cards:
|
|
lines.append("[Main]")
|
|
for card in cards:
|
|
count = card.get('count', 1)
|
|
lines.append(f"{count} {card['name']}")
|
|
|
|
# Sideboard (rare in Commander but include if present)
|
|
sideboard = deck_data.get('sideboard', [])
|
|
if sideboard:
|
|
lines.append("[Sideboard]")
|
|
for card in sideboard:
|
|
count = card.get('count', 1)
|
|
lines.append(f"{count} {card['name']}")
|
|
|
|
return "\n".join(lines) + "\n"
|
|
|
|
|
|
def download_precon_database(force: bool = False) -> dict:
|
|
"""
|
|
Download all Commander precon decks from GitHub, convert to .dck,
|
|
and rebuild precon-index.json. Skips if index is fresh (< PRECON_CACHE_HOURS old)
|
|
unless force=True.
|
|
|
|
Returns {"downloaded": int, "skipped": bool, "error": str|None}
|
|
"""
|
|
global PRECON_INDEX
|
|
idx_path = PRECON_DIR / "precon-index.json"
|
|
|
|
# ── Cache check ──────────────────────────────────────────
|
|
if not force and idx_path.exists():
|
|
try:
|
|
with open(idx_path, "r", encoding="utf-8") as f:
|
|
existing = json.load(f)
|
|
# If we have a substantial number of decks and file is recent, skip
|
|
if len(existing) > 50:
|
|
age_hours = (time.time() - idx_path.stat().st_mtime) / 3600
|
|
if age_hours < PRECON_CACHE_HOURS:
|
|
print(f" Precons: {len(existing)} decks cached "
|
|
f"({age_hours:.0f}h old, refresh after {PRECON_CACHE_HOURS}h)")
|
|
PRECON_INDEX = existing
|
|
return {"downloaded": 0, "skipped": True, "total": len(existing),
|
|
"error": None}
|
|
except Exception:
|
|
pass # Fall through to download
|
|
|
|
# ── Download ─────────────────────────────────────────────
|
|
print(" Precons: Downloading full precon database from GitHub...")
|
|
try:
|
|
req = Request(GITHUB_PRECON_URL, headers={"User-Agent": "CommanderAILab/3.0"})
|
|
with urlopen(req, timeout=120) as resp:
|
|
raw = resp.read()
|
|
all_decks = json.loads(raw)
|
|
except Exception as e:
|
|
msg = f"Failed to download precon database: {e}"
|
|
print(f" Precons: ERROR — {msg}")
|
|
# Fall back to whatever we have locally
|
|
if idx_path.exists():
|
|
load_precon_index()
|
|
return {"downloaded": 0, "skipped": False, "error": msg}
|
|
|
|
# ── Filter to Commander precon decks ─────────────────────
|
|
commander_decks = [
|
|
d for d in all_decks
|
|
if d.get('type') == 'Commander Deck'
|
|
and (d.get('format') or '').lower() == 'commander'
|
|
]
|
|
print(f" Precons: Found {len(commander_decks)} Commander precon decks")
|
|
|
|
# ── Ensure precon-decks dir exists ───────────────────────
|
|
PRECON_DIR.mkdir(parents=True, exist_ok=True)
|
|
|
|
# ── Detect duplicate names and append set code for uniqueness ─
|
|
from collections import Counter
|
|
name_counts = Counter(_sanitize_filename(d['name']) for d in commander_decks)
|
|
dup_names = {n for n, c in name_counts.items() if c > 1}
|
|
|
|
# ── Convert and write .dck files + build index ───────────
|
|
index = []
|
|
written = 0
|
|
for deck in sorted(commander_decks, key=lambda d: (d.get('release_date', ''), d.get('name', ''))):
|
|
safe_name = _sanitize_filename(deck['name'])
|
|
# Append set code for duplicate names (e.g. Anthology reprints)
|
|
if safe_name in dup_names:
|
|
sc = (deck.get('set_code') or 'unk').upper()
|
|
safe_name = f"{safe_name}_{sc}"
|
|
file_name = f"{safe_name}.dck"
|
|
dck_path = PRECON_DIR / file_name
|
|
|
|
# Extract commander names
|
|
commanders = deck.get('commander', [])
|
|
cmdr_names = [c['name'] for c in commanders] if commanders else []
|
|
|
|
# Card count
|
|
total_cards = sum(c.get('count', 1) for c in deck.get('cards', []))
|
|
total_cards += sum(c.get('count', 1) for c in commanders)
|
|
|
|
# Write .dck file
|
|
dck_content = _deck_to_dck(deck)
|
|
with open(dck_path, "w", encoding="utf-8") as f:
|
|
f.write(dck_content)
|
|
written += 1
|
|
|
|
# Build index entry
|
|
release = deck.get('release_date', '')
|
|
year = int(release[:4]) if release and len(release) >= 4 else 0
|
|
index.append({
|
|
"name": deck['name'],
|
|
"commander": cmdr_names[0] if cmdr_names else "Unknown",
|
|
"commanders": cmdr_names,
|
|
"colors": [], # Color data not in source; UI can infer from cards
|
|
"set": deck.get('set_name', ''),
|
|
"setCode": deck.get('set_code', ''),
|
|
"year": year,
|
|
"releaseDate": release,
|
|
"theme": "",
|
|
"fileName": file_name,
|
|
"cardCount": total_cards,
|
|
})
|
|
|
|
# ── Write index ──────────────────────────────────────────
|
|
with open(idx_path, "w", encoding="utf-8") as f:
|
|
json.dump(index, f, indent=2, ensure_ascii=False)
|
|
|
|
PRECON_INDEX = index
|
|
print(f" Precons: {written} .dck files written, index saved")
|
|
return {"downloaded": written, "skipped": False, "total": written, "error": None}
|
|
|
|
|
|
@app.post("/api/lab/precons/refresh")
|
|
async def refresh_precons():
|
|
"""Force re-download of all Commander precon decks from GitHub."""
|
|
result = download_precon_database(force=True)
|
|
if result.get("error"):
|
|
raise HTTPException(502, result["error"])
|
|
return {
|
|
"message": f"Downloaded {result['downloaded']} Commander precon decks",
|
|
"total": result.get("total", 0),
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Deck Import Helpers (Python-side)
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
_API_HEADERS = {"User-Agent": "CommanderAILab/3.0", "Accept": "application/json"}
|
|
|
|
|
|
def _http_get(url: str) -> str:
|
|
req = Request(url, headers=_API_HEADERS)
|
|
with urlopen(req, timeout=30) as resp:
|
|
return resp.read().decode("utf-8")
|
|
|
|
|
|
def _import_from_url(url: str) -> dict:
|
|
"""Import deck from URL (Archidekt or EDHREC)."""
|
|
url = url.strip()
|
|
|
|
# Archidekt
|
|
if "archidekt.com/decks/" in url:
|
|
m = re.search(r"/decks/(\d+)", url)
|
|
if not m:
|
|
raise ValueError("Could not parse Archidekt deck ID from URL")
|
|
return _fetch_archidekt_deck(m.group(1))
|
|
|
|
# EDHREC average deck
|
|
if "edhrec.com/average-decks/" in url:
|
|
slug = re.search(r"/average-decks/([^/?#]+)", url).group(1)
|
|
commander_name = slug.replace("-", " ")
|
|
return _fetch_edhrec_average(commander_name)
|
|
|
|
# EDHREC commander page
|
|
if "edhrec.com/commanders/" in url:
|
|
slug = re.search(r"/commanders/([^/?#]+)", url).group(1)
|
|
commander_name = slug.replace("-", " ")
|
|
return _fetch_edhrec_average(commander_name)
|
|
|
|
raise ValueError(f"Unsupported URL: {url}. Supported: archidekt.com/decks/..., edhrec.com/average-decks/..., edhrec.com/commanders/...")
|
|
|
|
|
|
def _fetch_archidekt_deck(deck_id: str) -> dict:
|
|
"""Fetch deck from Archidekt API."""
|
|
url = f"https://archidekt.com/api/decks/{deck_id}/"
|
|
data = json.loads(_http_get(url))
|
|
|
|
profile = {
|
|
"name": data.get("name", f"Archidekt {deck_id}"),
|
|
"commander": None,
|
|
"source": "Archidekt",
|
|
"sourceUrl": f"https://archidekt.com/decks/{deck_id}",
|
|
"commanders": {},
|
|
"mainboard": {},
|
|
"colorIdentity": [],
|
|
"totalCards": 0,
|
|
}
|
|
|
|
for card_entry in data.get("cards", []):
|
|
qty = card_entry.get("quantity", 1)
|
|
card = card_entry.get("card", {})
|
|
oracle = card.get("oracleCard", {})
|
|
card_name = oracle.get("name", "Unknown")
|
|
|
|
categories = [c for c in card_entry.get("categories", [])]
|
|
is_commander = any(c.lower() == "commander" for c in categories)
|
|
|
|
if is_commander:
|
|
profile["commanders"][card_name] = qty
|
|
if not profile["commander"]:
|
|
profile["commander"] = card_name
|
|
if oracle.get("colorIdentity"):
|
|
profile["colorIdentity"] = oracle["colorIdentity"]
|
|
else:
|
|
profile["mainboard"][card_name] = qty
|
|
|
|
profile["totalCards"] = sum(profile["commanders"].values()) + sum(profile["mainboard"].values())
|
|
if not profile["name"] or profile["name"] == f"Archidekt {deck_id}":
|
|
profile["name"] = f"{profile['commander']} — Archidekt"
|
|
|
|
return profile
|
|
|
|
|
|
def _fetch_edhrec_average(commander_name: str) -> dict:
|
|
"""Fetch EDHREC average deck for a commander."""
|
|
slug = _to_edhrec_slug(commander_name)
|
|
url = f"https://json.edhrec.com/pages/average-decks/{slug}.json"
|
|
data = json.loads(_http_get(url))
|
|
|
|
container = data.get("container", {})
|
|
json_dict = container.get("json_dict", {})
|
|
card_info = json_dict.get("card", {})
|
|
real_name = card_info.get("name", commander_name.title())
|
|
|
|
profile = {
|
|
"name": f"{real_name} — EDHREC Average",
|
|
"commander": real_name,
|
|
"source": "EDHREC Average",
|
|
"sourceUrl": f"https://edhrec.com/average-decks/{slug}",
|
|
"commanders": {real_name: 1},
|
|
"mainboard": {},
|
|
"colorIdentity": card_info.get("color_identity", []),
|
|
"sampleSize": data.get("num_decks_avg"),
|
|
"totalCards": 0,
|
|
}
|
|
|
|
# Parse card lists
|
|
for cl in json_dict.get("cardlists", []):
|
|
for cv in cl.get("cardviews", []):
|
|
card_name = cv.get("name", "")
|
|
if card_name:
|
|
profile["mainboard"][card_name] = 1
|
|
|
|
# Fix basic land quantities from archidekt export data
|
|
archidekt_data = data.get("archidekt", [])
|
|
if archidekt_data:
|
|
basic_names = []
|
|
for cl in json_dict.get("cardlists", []):
|
|
if cl.get("tag") == "basics":
|
|
for cv in cl.get("cardviews", []):
|
|
basic_names.append(cv.get("name", ""))
|
|
|
|
# Find high-quantity entries (basics)
|
|
basic_quantities = []
|
|
for entry in archidekt_data:
|
|
if entry.get("q", 1) > 1:
|
|
basic_quantities.append(entry["q"])
|
|
|
|
for i, name in enumerate(basic_names):
|
|
if i < len(basic_quantities):
|
|
profile["mainboard"][name] = basic_quantities[i]
|
|
|
|
profile["totalCards"] = sum(profile["commanders"].values()) + sum(profile["mainboard"].values())
|
|
return profile
|
|
|
|
|
|
def _parse_text_decklist(text: str, commander_override: str = None) -> dict:
|
|
"""Parse a plain text card list into a profile."""
|
|
profile = {
|
|
"name": "Text Import",
|
|
"commander": None,
|
|
"source": "Text Import",
|
|
"sourceUrl": None,
|
|
"commanders": {},
|
|
"mainboard": {},
|
|
"totalCards": 0,
|
|
}
|
|
|
|
section = "main"
|
|
for line in text.strip().split("\n"):
|
|
line = line.strip()
|
|
if not line or line.startswith("//") or line.startswith("#"):
|
|
continue
|
|
|
|
if line.lower().startswith("commander") or line == "[Commander]":
|
|
section = "commander"
|
|
continue
|
|
if line.lower().startswith("main") or line.lower().startswith("deck") or line == "[Main]":
|
|
section = "main"
|
|
continue
|
|
if line.lower().startswith("sideboard") or line == "[Sideboard]":
|
|
section = "sideboard"
|
|
continue
|
|
|
|
# Clean line
|
|
clean = re.sub(r"\(\w+\)\s*\d*$", "", line).strip()
|
|
clean = re.sub(r"\s*\*.*$", "", clean).strip()
|
|
|
|
m = re.match(r"^(\d+)x?\s+(.+)$", clean)
|
|
if m:
|
|
qty = int(m.group(1))
|
|
card_name = m.group(2).strip()
|
|
else:
|
|
qty = 1
|
|
card_name = clean
|
|
|
|
if not card_name:
|
|
continue
|
|
|
|
if section == "commander":
|
|
profile["commanders"][card_name] = qty
|
|
if not profile["commander"]:
|
|
profile["commander"] = card_name
|
|
elif section != "sideboard":
|
|
profile["mainboard"][card_name] = qty
|
|
|
|
if commander_override:
|
|
profile["commander"] = commander_override
|
|
if not profile["commanders"]:
|
|
if commander_override in profile["mainboard"]:
|
|
qty = profile["mainboard"].pop(commander_override)
|
|
profile["commanders"][commander_override] = qty
|
|
else:
|
|
profile["commanders"][commander_override] = 1
|
|
|
|
if profile["commander"]:
|
|
profile["name"] = f"{profile['commander']} — Text Import"
|
|
|
|
profile["totalCards"] = sum(profile["commanders"].values()) + sum(profile["mainboard"].values())
|
|
return profile
|
|
|
|
|
|
def _save_profile_to_dck(profile: dict) -> Path:
|
|
"""Convert a profile dict to .dck and save to Forge decks dir."""
|
|
lines = ["[metadata]"]
|
|
lines.append(f"Name={profile.get('name', 'Imported Deck')}")
|
|
lines.append("")
|
|
lines.append("[Commander]")
|
|
for name, qty in profile.get("commanders", {}).items():
|
|
lines.append(f"{qty} {name}")
|
|
lines.append("")
|
|
lines.append("[Main]")
|
|
for name, qty in profile.get("mainboard", {}).items():
|
|
lines.append(f"{qty} {name}")
|
|
|
|
content = "\n".join(lines)
|
|
|
|
# Save to Forge decks dir
|
|
safe_name = re.sub(r"[^a-zA-Z0-9 _-]", "", profile.get("name", "imported")).replace(" ", "_").strip()
|
|
if not safe_name:
|
|
safe_name = "imported_deck"
|
|
|
|
save_dir = CFG.forge_decks_dir
|
|
if not save_dir or not os.path.isdir(save_dir):
|
|
save_dir = os.path.join(os.path.dirname(__file__), "imported-decks")
|
|
os.makedirs(save_dir, exist_ok=True)
|
|
|
|
out_path = Path(save_dir) / f"{safe_name}.dck"
|
|
out_path.write_text(content, encoding="utf-8")
|
|
print(f" [Import] Saved .dck: {out_path}")
|
|
return out_path
|
|
|
|
|
|
def _to_edhrec_slug(name: str) -> str:
|
|
slug = name.lower()
|
|
slug = re.sub(r"[',.]", "", slug)
|
|
slug = re.sub(r"[^a-z0-9]+", "-", slug)
|
|
slug = slug.strip("-")
|
|
return slug
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Background Task — Run the Java CLI subprocess
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
async def run_batch_subprocess(
|
|
state: BatchState,
|
|
decks: list[str],
|
|
num_games: int,
|
|
threads: int,
|
|
seed: Optional[int],
|
|
clock: int,
|
|
output_path: str,
|
|
use_learned_policy: bool = False,
|
|
policy_style: str = "midrange",
|
|
policy_greedy: bool = False,
|
|
):
|
|
try:
|
|
# Compute policy server URL from our own port
|
|
policy_server = f"http://localhost:{CFG.port}"
|
|
cmd = build_java_command(
|
|
decks, num_games, threads, seed, clock, output_path,
|
|
use_learned_policy=use_learned_policy,
|
|
policy_server=policy_server,
|
|
policy_style=policy_style,
|
|
policy_greedy=policy_greedy,
|
|
)
|
|
print(f"[Lab API] Starting batch {state.batch_id}: {' '.join(cmd[:6])}...")
|
|
loop = asyncio.get_event_loop()
|
|
await loop.run_in_executor(
|
|
None,
|
|
lambda: _run_process_blocking(state, cmd),
|
|
)
|
|
except Exception as e:
|
|
state.error = str(e)
|
|
state.running = False
|
|
print(f"[Lab API] Batch {state.batch_id} ERROR: {e}")
|
|
|
|
|
|
def _run_process_blocking(state: BatchState, cmd: list[str]):
|
|
# Write debug log from Python side (doesn't depend on Java rebuild)
|
|
debug_log_path = Path(CFG.forge_dir).parent / "forge-sim-debug.log" if CFG.forge_dir else Path("forge-sim-debug.log")
|
|
try:
|
|
with open(debug_log_path, "a", encoding="utf-8") as dbg:
|
|
dbg.write(f"\n{'='*60}\n")
|
|
dbg.write(f"Batch {state.batch_id} @ {datetime.now().isoformat()}\n")
|
|
dbg.write(f"Command: {' '.join(cmd)}\n")
|
|
dbg.write(f"Lab JAR: {CFG.lab_jar}\n")
|
|
dbg.write(f"Forge JAR: {CFG.forge_jar}\n")
|
|
dbg.write(f"Forge Dir: {CFG.forge_dir}\n")
|
|
dbg.write(f"Lab JAR exists: {os.path.exists(CFG.lab_jar)}\n")
|
|
dbg.write(f"Forge JAR exists: {os.path.exists(CFG.forge_jar)}\n")
|
|
dbg.write(f"Forge Dir exists: {os.path.isdir(CFG.forge_dir)}\n")
|
|
dbg.write(f"{'-'*60}\n")
|
|
print(f"[Lab API] Debug log: {debug_log_path}")
|
|
except Exception as e:
|
|
print(f"[Lab API] Could not write debug log header: {e}")
|
|
|
|
# Ensure Forge subprocesses use Java 17 (Forge crashes on Java 25+)
|
|
env = os.environ.copy()
|
|
java17 = get_java17()
|
|
if java17 != 'java':
|
|
java17_bin = os.path.dirname(java17)
|
|
java17_home = os.path.dirname(java17_bin)
|
|
env['JAVA_HOME'] = java17_home
|
|
env['PATH'] = java17_bin + os.pathsep + env.get('PATH', '')
|
|
print(f'[Lab API] Using Java 17: {java17}')
|
|
|
|
# NOTE: Do NOT set _JAVA_OPTIONS=-Djava.awt.headless=true here.
|
|
# Forge sim mode needs AWT classes for card data initialization;
|
|
# headless=true causes silent exit code 1 crash.
|
|
|
|
# Per-game timeout: clock + 180s buffer for card DB init
|
|
per_game_timeout = state.total_games * 240 + 300 # generous: 4min/game + 5min startup
|
|
|
|
try:
|
|
proc = subprocess.Popen(
|
|
cmd,
|
|
stdout=subprocess.PIPE,
|
|
stderr=subprocess.STDOUT,
|
|
text=True,
|
|
cwd=None,
|
|
bufsize=1,
|
|
env=env,
|
|
)
|
|
state.process = proc
|
|
|
|
# Python-side watchdog: kill if no progress for too long
|
|
import threading
|
|
last_activity = [time.time()]
|
|
stall_limit = 300 # 5 minutes with no output = stalled
|
|
|
|
def _watchdog():
|
|
while proc.poll() is None:
|
|
time.sleep(30)
|
|
elapsed_since_activity = time.time() - last_activity[0]
|
|
if elapsed_since_activity > stall_limit:
|
|
print(f'[Lab API] WATCHDOG: No output for {int(elapsed_since_activity)}s. Killing process.')
|
|
state.log_lines.append(f'[WATCHDOG] Process stalled ({int(elapsed_since_activity)}s with no output). Killed.')
|
|
proc.kill()
|
|
return
|
|
|
|
wd_thread = threading.Thread(target=_watchdog, daemon=True)
|
|
wd_thread.start()
|
|
|
|
game_count = 0
|
|
all_output_lines = []
|
|
for line in proc.stdout:
|
|
line = line.rstrip()
|
|
last_activity[0] = time.time()
|
|
state.log_lines.append(line)
|
|
all_output_lines.append(line)
|
|
|
|
if line.startswith("[Game "):
|
|
try:
|
|
parts = line.split("]")[0]
|
|
nums = parts.replace("[Game ", "").split("/")
|
|
current = int(nums[0])
|
|
game_count = current
|
|
state.completed_games = current
|
|
except (ValueError, IndexError):
|
|
pass
|
|
|
|
print(f" [{state.batch_id}] {line}")
|
|
|
|
proc.wait()
|
|
|
|
elapsed = int((datetime.now() - state.start_time).total_seconds() * 1000)
|
|
state.elapsed_ms = elapsed
|
|
state.running = False
|
|
|
|
# Write all captured output to debug log
|
|
try:
|
|
with open(debug_log_path, "a", encoding="utf-8") as dbg:
|
|
dbg.write(f"Exit code: {proc.returncode}\n")
|
|
dbg.write(f"Total lines: {len(all_output_lines)}\n")
|
|
dbg.write(f"Elapsed: {elapsed}ms\n")
|
|
dbg.write(f"-- FULL SUBPROCESS OUTPUT --\n")
|
|
if all_output_lines:
|
|
for ol in all_output_lines:
|
|
dbg.write(ol + "\n")
|
|
else:
|
|
dbg.write("<< NO OUTPUT >>\n")
|
|
dbg.write(f"-- END OUTPUT --\n\n")
|
|
except Exception as e:
|
|
print(f"[Lab API] Could not write debug log output: {e}")
|
|
|
|
if proc.returncode != 0:
|
|
if proc.returncode == -9 or proc.returncode == 137:
|
|
state.error = 'Forge process killed by watchdog (stalled with no output). Check forge-sim-debug.log for details.'
|
|
else:
|
|
state.error = f'Java process exited with code {proc.returncode}. Check forge-sim-debug.log for details.'
|
|
else:
|
|
state.completed_games = state.total_games
|
|
print(f"[Lab API] Batch {state.batch_id} completed in {elapsed}ms")
|
|
|
|
# Auto-generate deck reports for the coach
|
|
if state.result_path and os.path.exists(state.result_path):
|
|
try:
|
|
from coach.report_generator import generate_single_deck_report
|
|
lab_root = Path(__file__).parent
|
|
reports_dir = str(lab_root / "deck-reports")
|
|
updated = generate_single_deck_report(state.result_path, reports_dir)
|
|
if updated:
|
|
print(f"[Lab API] Deck reports updated: {', '.join(updated)}")
|
|
except Exception as rpt_err:
|
|
print(f"[Lab API] Deck report generation failed (non-fatal): {rpt_err}")
|
|
|
|
except Exception as e:
|
|
state.error = str(e)
|
|
state.running = False
|
|
try:
|
|
with open(debug_log_path, "a", encoding="utf-8") as dbg:
|
|
dbg.write(f"EXCEPTION: {e}\n")
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
# Global ML logging toggle (can be enabled via API)
|
|
_ml_logging_enabled = False
|
|
|
|
|
|
def _find_java17() -> str:
|
|
"""Auto-detect Java 17 for Forge subprocesses. Forge crashes on Java 25+."""
|
|
import glob as _glob
|
|
# Check common Adoptium/Oracle locations on Windows
|
|
search_dirs = [
|
|
r'C:\Program Files\Eclipse Adoptium',
|
|
r'C:\Program Files\Java',
|
|
]
|
|
for d in search_dirs:
|
|
if os.path.isdir(d):
|
|
for child in os.listdir(d):
|
|
if child.startswith('jdk-17'):
|
|
candidate = os.path.join(d, child, 'bin', 'java.exe')
|
|
if os.path.isfile(candidate):
|
|
return candidate
|
|
return 'java' # fallback to system java
|
|
|
|
_JAVA17_PATH = None # cached result
|
|
|
|
def get_java17() -> str:
|
|
global _JAVA17_PATH
|
|
if _JAVA17_PATH is None:
|
|
_JAVA17_PATH = _find_java17()
|
|
return _JAVA17_PATH
|
|
|
|
|
|
def build_java_command(
|
|
decks: list[str],
|
|
num_games: int,
|
|
threads: int,
|
|
seed: Optional[int],
|
|
clock: int,
|
|
output_path: str,
|
|
use_learned_policy: bool = False,
|
|
policy_server: str = "http://localhost:8080",
|
|
policy_style: str = "midrange",
|
|
policy_greedy: bool = False,
|
|
) -> list[str]:
|
|
java17 = get_java17()
|
|
cmd = [
|
|
java17, "-jar", CFG.lab_jar,
|
|
"--forge-jar", CFG.forge_jar,
|
|
"--forge-dir", CFG.forge_dir,
|
|
"--deck1", decks[0],
|
|
"--deck2", decks[1],
|
|
"--deck3", decks[2],
|
|
"--games", str(num_games),
|
|
"--threads", str(threads),
|
|
"--clock", str(clock),
|
|
"--output", output_path,
|
|
]
|
|
if seed is not None:
|
|
cmd.extend(["--seed", str(seed)])
|
|
if _ml_logging_enabled:
|
|
cmd.append("--ml-log")
|
|
if use_learned_policy:
|
|
cmd.append("--learned-policy")
|
|
cmd.extend(["--policy-server", policy_server])
|
|
cmd.extend(["--policy-style", policy_style])
|
|
if policy_greedy:
|
|
cmd.append("--policy-greedy")
|
|
return cmd
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Collection Database Setup
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
COLLECTION_DB_PATH = Path(__file__).parent / "collection.db"
|
|
_db_local = threading.local()
|
|
|
|
|
|
def _get_db_conn() -> sqlite3.Connection:
|
|
"""Get a thread-local SQLite connection."""
|
|
if not hasattr(_db_local, "conn") or _db_local.conn is None:
|
|
conn = sqlite3.connect(str(COLLECTION_DB_PATH), check_same_thread=False)
|
|
conn.row_factory = sqlite3.Row
|
|
_db_local.conn = conn
|
|
return _db_local.conn
|
|
|
|
|
|
def init_collection_db():
|
|
"""Initialize the collection SQLite database with tables and indexes."""
|
|
conn = sqlite3.connect(str(COLLECTION_DB_PATH), check_same_thread=False)
|
|
conn.row_factory = sqlite3.Row
|
|
cur = conn.cursor()
|
|
|
|
cur.executescript("""
|
|
CREATE TABLE IF NOT EXISTS card_records (
|
|
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
|
name TEXT NOT NULL,
|
|
type_line TEXT DEFAULT '',
|
|
subtypes TEXT DEFAULT '',
|
|
is_legendary INTEGER DEFAULT 0,
|
|
is_basic INTEGER DEFAULT 0,
|
|
color_identity TEXT DEFAULT '',
|
|
cmc REAL DEFAULT 0,
|
|
oracle_text TEXT DEFAULT '',
|
|
keywords TEXT DEFAULT '',
|
|
tcg_price REAL DEFAULT 0,
|
|
salt_score REAL DEFAULT 0,
|
|
is_game_changer INTEGER DEFAULT 0,
|
|
category TEXT DEFAULT '',
|
|
scryfall_id TEXT DEFAULT '',
|
|
tcgplayer_id TEXT DEFAULT ''
|
|
);
|
|
|
|
CREATE TABLE IF NOT EXISTS collection_entries (
|
|
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
|
name TEXT NOT NULL,
|
|
type_line TEXT DEFAULT '',
|
|
subtypes TEXT DEFAULT '',
|
|
is_legendary INTEGER DEFAULT 0,
|
|
is_basic INTEGER DEFAULT 0,
|
|
color_identity TEXT DEFAULT '',
|
|
cmc REAL DEFAULT 0,
|
|
mana_cost TEXT DEFAULT '',
|
|
oracle_text TEXT DEFAULT '',
|
|
keywords TEXT DEFAULT '',
|
|
power TEXT DEFAULT '',
|
|
toughness TEXT DEFAULT '',
|
|
rarity TEXT DEFAULT '',
|
|
set_name TEXT DEFAULT '',
|
|
edhrec_rank INTEGER DEFAULT 0,
|
|
tcg_price REAL DEFAULT 0,
|
|
salt_score REAL DEFAULT 0,
|
|
is_game_changer INTEGER DEFAULT 0,
|
|
category TEXT DEFAULT '',
|
|
scryfall_id TEXT DEFAULT '',
|
|
tcgplayer_id TEXT DEFAULT '',
|
|
quantity INTEGER DEFAULT 1,
|
|
finish TEXT DEFAULT 'NORMAL',
|
|
condition TEXT DEFAULT '',
|
|
language TEXT DEFAULT '',
|
|
notes TEXT DEFAULT '',
|
|
tags TEXT DEFAULT '',
|
|
set_code TEXT DEFAULT '',
|
|
collector_number TEXT DEFAULT '',
|
|
created_at TEXT DEFAULT (datetime('now')),
|
|
updated_at TEXT DEFAULT (datetime('now'))
|
|
);
|
|
|
|
CREATE INDEX IF NOT EXISTS idx_ce_name ON collection_entries(name);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_color_identity ON collection_entries(color_identity);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_type_line ON collection_entries(type_line);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_is_legendary ON collection_entries(is_legendary);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_cmc ON collection_entries(cmc);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_category ON collection_entries(category);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_set_code ON collection_entries(set_code);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_collector_number ON collection_entries(collector_number);
|
|
CREATE INDEX IF NOT EXISTS idx_ce_finish ON collection_entries(finish);
|
|
|
|
CREATE INDEX IF NOT EXISTS idx_cr_name ON card_records(name);
|
|
|
|
CREATE TABLE IF NOT EXISTS decks (
|
|
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
|
name TEXT NOT NULL,
|
|
commander_scryfall_id TEXT DEFAULT '',
|
|
commander_name TEXT DEFAULT '',
|
|
color_identity TEXT DEFAULT '[]',
|
|
strategy_tag TEXT DEFAULT '',
|
|
created_at TEXT DEFAULT (datetime('now')),
|
|
updated_at TEXT DEFAULT (datetime('now'))
|
|
);
|
|
|
|
CREATE TABLE IF NOT EXISTS deck_cards (
|
|
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
|
deck_id INTEGER NOT NULL,
|
|
scryfall_id TEXT NOT NULL,
|
|
card_name TEXT DEFAULT '',
|
|
quantity INTEGER DEFAULT 1,
|
|
is_commander INTEGER DEFAULT 0,
|
|
role_tag TEXT DEFAULT '',
|
|
FOREIGN KEY (deck_id) REFERENCES decks(id) ON DELETE CASCADE
|
|
);
|
|
|
|
CREATE INDEX IF NOT EXISTS idx_dc_deck_id ON deck_cards(deck_id);
|
|
CREATE INDEX IF NOT EXISTS idx_dc_scryfall_id ON deck_cards(scryfall_id);
|
|
CREATE INDEX IF NOT EXISTS idx_dk_commander ON decks(commander_scryfall_id);
|
|
""")
|
|
|
|
conn.commit()
|
|
|
|
# ── Migration: add columns to existing DBs ─────────────────
|
|
_migrate_columns = [
|
|
("mana_cost", "TEXT DEFAULT ''"),
|
|
("power", "TEXT DEFAULT ''"),
|
|
("toughness", "TEXT DEFAULT ''"),
|
|
("rarity", "TEXT DEFAULT ''"),
|
|
("set_name", "TEXT DEFAULT ''"),
|
|
("edhrec_rank", "INTEGER DEFAULT 0"),
|
|
]
|
|
existing_cols = {row[1] for row in conn.execute("PRAGMA table_info(collection_entries)").fetchall()}
|
|
for col_name, col_def in _migrate_columns:
|
|
if col_name not in existing_cols:
|
|
conn.execute(f"ALTER TABLE collection_entries ADD COLUMN {col_name} {col_def}")
|
|
print(f" Migration: added column '{col_name}' to collection_entries")
|
|
conn.commit()
|
|
conn.close()
|
|
print(f" Collection DB: {COLLECTION_DB_PATH}")
|
|
|
|
|
|
# Fields stored as JSON strings in SQLite that should be returned as parsed arrays
|
|
_JSON_FIELDS = ("category", "color_identity", "subtypes", "keywords")
|
|
|
|
|
|
def _row_to_dict(row) -> dict:
|
|
"""Convert a sqlite3.Row to a plain dict, parsing JSON array fields."""
|
|
if row is None:
|
|
return None
|
|
d = dict(row)
|
|
for f in _JSON_FIELDS:
|
|
if f in d and isinstance(d[f], str):
|
|
try:
|
|
d[f] = json.loads(d[f])
|
|
except (json.JSONDecodeError, TypeError):
|
|
d[f] = []
|
|
return d
|
|
|
|
|
|
def _snake_to_camel(s: str) -> str:
|
|
"""Convert snake_case to camelCase."""
|
|
parts = s.split("_")
|
|
return parts[0] + "".join(p.capitalize() for p in parts[1:])
|
|
|
|
|
|
def _add_image_url(card: dict) -> dict:
|
|
"""Add imageUrl field and camelCase aliases for JS consumption."""
|
|
scryfall_id = card.get("scryfall_id", "")
|
|
if scryfall_id:
|
|
card["imageUrl"] = f"https://api.scryfall.com/cards/{scryfall_id}?format=image&version=normal"
|
|
else:
|
|
card["imageUrl"] = None
|
|
# Add camelCase aliases for all snake_case keys
|
|
for key in list(card.keys()):
|
|
if "_" in key:
|
|
camel = _snake_to_camel(key)
|
|
if camel not in card:
|
|
card[camel] = card[key]
|
|
return card
|
|
|
|
|
|
def _build_collection_filters(
|
|
q: Optional[str] = None,
|
|
colors: Optional[str] = None,
|
|
types: Optional[str] = None,
|
|
isLegendary: Optional[bool] = None,
|
|
isBasic: Optional[bool] = None,
|
|
isGameChanger: Optional[bool] = None,
|
|
highSalt: Optional[bool] = None,
|
|
finish: Optional[str] = None,
|
|
cmcMin: Optional[float] = None,
|
|
cmcMax: Optional[float] = None,
|
|
priceMin: Optional[float] = None,
|
|
priceMax: Optional[float] = None,
|
|
category: Optional[str] = None,
|
|
rarity: Optional[str] = None,
|
|
setCode: Optional[str] = None,
|
|
powerMin: Optional[str] = None,
|
|
powerMax: Optional[str] = None,
|
|
toughMin: Optional[str] = None,
|
|
toughMax: Optional[str] = None,
|
|
keyword: Optional[str] = None,
|
|
edhrecMin: Optional[int] = None,
|
|
edhrecMax: Optional[int] = None,
|
|
qtyMin: Optional[int] = None,
|
|
qtyMax: Optional[int] = None,
|
|
) -> tuple:
|
|
"""Build WHERE clause and params for collection queries. Returns (where_str, params_list)."""
|
|
conditions = []
|
|
params = []
|
|
|
|
if q:
|
|
like_q = f"%{q}%"
|
|
conditions.append("(name LIKE ? OR type_line LIKE ? OR oracle_text LIKE ?)")
|
|
params.extend([like_q, like_q, like_q])
|
|
|
|
if colors:
|
|
color_list = [c.strip().upper() for c in colors.split(",") if c.strip()]
|
|
for color in color_list:
|
|
conditions.append("color_identity LIKE ?")
|
|
params.append(f'%"{color}"%')
|
|
|
|
if types:
|
|
type_list = [t.strip() for t in types.split(",") if t.strip()]
|
|
type_conditions = []
|
|
for t in type_list:
|
|
type_conditions.append("type_line LIKE ?")
|
|
params.append(f"%{t}%")
|
|
if type_conditions:
|
|
conditions.append(f"({' OR '.join(type_conditions)})")
|
|
|
|
if isLegendary is not None:
|
|
conditions.append("is_legendary = ?")
|
|
params.append(1 if isLegendary else 0)
|
|
|
|
if isBasic is not None:
|
|
conditions.append("is_basic = ?")
|
|
params.append(1 if isBasic else 0)
|
|
|
|
if isGameChanger is not None:
|
|
conditions.append("is_game_changer = ?")
|
|
params.append(1 if isGameChanger else 0)
|
|
|
|
if highSalt:
|
|
conditions.append("salt_score > 2.0")
|
|
|
|
if finish:
|
|
conditions.append("finish = ?")
|
|
params.append(finish.upper())
|
|
|
|
if cmcMin is not None:
|
|
conditions.append("cmc >= ?")
|
|
params.append(cmcMin)
|
|
|
|
if cmcMax is not None:
|
|
conditions.append("cmc <= ?")
|
|
params.append(cmcMax)
|
|
|
|
if priceMin is not None:
|
|
conditions.append("tcg_price >= ?")
|
|
params.append(priceMin)
|
|
|
|
if priceMax is not None:
|
|
conditions.append("tcg_price <= ?")
|
|
params.append(priceMax)
|
|
|
|
if category:
|
|
cat_list = [c.strip() for c in category.split(",") if c.strip()]
|
|
cat_conditions = []
|
|
for c in cat_list:
|
|
cat_conditions.append("category LIKE ?")
|
|
params.append(f'%"{c}"%')
|
|
if cat_conditions:
|
|
conditions.append(f"({' OR '.join(cat_conditions)})")
|
|
|
|
# ── New filters ──
|
|
|
|
if rarity:
|
|
rar_list = [r.strip().lower() for r in rarity.split(",") if r.strip()]
|
|
if rar_list:
|
|
placeholders = ",".join(["?"] * len(rar_list))
|
|
conditions.append(f"LOWER(rarity) IN ({placeholders})")
|
|
params.extend(rar_list)
|
|
|
|
if setCode:
|
|
set_list = [s.strip().upper() for s in setCode.split(",") if s.strip()]
|
|
if set_list:
|
|
placeholders = ",".join(["?"] * len(set_list))
|
|
conditions.append(f"UPPER(set_code) IN ({placeholders})")
|
|
params.extend(set_list)
|
|
|
|
if powerMin is not None:
|
|
conditions.append("CAST(power AS REAL) >= ?")
|
|
params.append(float(powerMin))
|
|
|
|
if powerMax is not None:
|
|
conditions.append("CAST(power AS REAL) <= ?")
|
|
params.append(float(powerMax))
|
|
|
|
if toughMin is not None:
|
|
conditions.append("CAST(toughness AS REAL) >= ?")
|
|
params.append(float(toughMin))
|
|
|
|
if toughMax is not None:
|
|
conditions.append("CAST(toughness AS REAL) <= ?")
|
|
params.append(float(toughMax))
|
|
|
|
if keyword:
|
|
kw_list = [k.strip() for k in keyword.split(",") if k.strip()]
|
|
for kw in kw_list:
|
|
conditions.append("keywords LIKE ?")
|
|
params.append(f"%{kw}%")
|
|
|
|
if edhrecMin is not None:
|
|
conditions.append("edhrec_rank >= ?")
|
|
params.append(edhrecMin)
|
|
|
|
if edhrecMax is not None:
|
|
conditions.append("edhrec_rank <= ?")
|
|
params.append(edhrecMax)
|
|
|
|
if qtyMin is not None:
|
|
conditions.append("quantity >= ?")
|
|
params.append(qtyMin)
|
|
|
|
if qtyMax is not None:
|
|
conditions.append("quantity <= ?")
|
|
params.append(qtyMax)
|
|
|
|
where_str = ""
|
|
if conditions:
|
|
where_str = "WHERE " + " AND ".join(conditions)
|
|
|
|
return where_str, params
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Collection CRUD Endpoints
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
VALID_SORT_FIELDS = {"name", "cmc", "tcg_price", "salt_score", "category", "color_identity", "quantity", "type_line", "finish", "rarity", "set_code", "power", "toughness", "edhrec_rank"}
|
|
|
|
|
|
@app.get("/api/collection/export")
|
|
async def export_collection(
|
|
format: str = "INTERNAL_CSV",
|
|
q: Optional[str] = None,
|
|
colors: Optional[str] = None,
|
|
types: Optional[str] = None,
|
|
isLegendary: Optional[bool] = None,
|
|
isBasic: Optional[bool] = None,
|
|
isGameChanger: Optional[bool] = None,
|
|
highSalt: Optional[bool] = None,
|
|
finish: Optional[str] = None,
|
|
cmcMin: Optional[float] = None,
|
|
cmcMax: Optional[float] = None,
|
|
priceMin: Optional[float] = None,
|
|
priceMax: Optional[float] = None,
|
|
category: Optional[str] = None,
|
|
):
|
|
"""Export collection in various formats with optional filters."""
|
|
where_str, params = _build_collection_filters(
|
|
q=q, colors=colors, types=types, isLegendary=isLegendary,
|
|
isBasic=isBasic, isGameChanger=isGameChanger, highSalt=highSalt,
|
|
finish=finish, cmcMin=cmcMin, cmcMax=cmcMax,
|
|
priceMin=priceMin, priceMax=priceMax, category=category,
|
|
)
|
|
|
|
sql = f"SELECT * FROM collection_entries {where_str} ORDER BY name ASC"
|
|
conn = _get_db_conn()
|
|
rows = [_row_to_dict(r) for r in conn.execute(sql, params).fetchall()]
|
|
|
|
fmt = format.upper()
|
|
output = io.StringIO()
|
|
|
|
if fmt == "INTERNAL_CSV":
|
|
if rows:
|
|
fieldnames = list(rows[0].keys())
|
|
else:
|
|
fieldnames = [
|
|
"id", "name", "type_line", "subtypes", "is_legendary", "is_basic",
|
|
"color_identity", "cmc", "oracle_text", "keywords", "tcg_price",
|
|
"salt_score", "is_game_changer", "category", "scryfall_id", "tcgplayer_id",
|
|
"quantity", "finish", "condition", "language", "notes", "tags",
|
|
"set_code", "collector_number", "created_at", "updated_at",
|
|
]
|
|
writer = csv.DictWriter(output, fieldnames=fieldnames)
|
|
writer.writeheader()
|
|
writer.writerows(rows)
|
|
filename = "collection_export.csv"
|
|
media_type = "text/csv"
|
|
|
|
elif fmt == "MOXFIELD_CSV":
|
|
fieldnames = ["Count", "Name", "Edition", "Condition", "Language", "Foil", "Collector Number"]
|
|
writer = csv.DictWriter(output, fieldnames=fieldnames)
|
|
writer.writeheader()
|
|
for row in rows:
|
|
finish_val = row.get("finish", "NORMAL").upper()
|
|
foil_val = "foil" if finish_val == "FOIL" else ("etched" if finish_val == "ETCHED" else "")
|
|
writer.writerow({
|
|
"Count": row.get("quantity", 1),
|
|
"Name": row.get("name", ""),
|
|
"Edition": row.get("set_code", "").upper(),
|
|
"Condition": row.get("condition", ""),
|
|
"Language": row.get("language", ""),
|
|
"Foil": foil_val,
|
|
"Collector Number": row.get("collector_number", ""),
|
|
})
|
|
filename = "collection_moxfield.csv"
|
|
media_type = "text/csv"
|
|
|
|
elif fmt == "TEXT":
|
|
lines = []
|
|
for row in rows:
|
|
qty = row.get("quantity", 1)
|
|
name = row.get("name", "")
|
|
set_code = row.get("set_code", "").upper()
|
|
coll_num = row.get("collector_number", "")
|
|
if set_code and coll_num:
|
|
lines.append(f"{qty} {name} ({set_code}) {coll_num}")
|
|
elif set_code:
|
|
lines.append(f"{qty} {name} ({set_code})")
|
|
else:
|
|
lines.append(f"{qty} {name}")
|
|
output.write("\n".join(lines))
|
|
filename = "collection_export.txt"
|
|
media_type = "text/plain"
|
|
|
|
else:
|
|
raise HTTPException(400, f"Unknown format: {format}. Use INTERNAL_CSV, MOXFIELD_CSV, or TEXT.")
|
|
|
|
content = output.getvalue()
|
|
|
|
def iter_content():
|
|
yield content.encode("utf-8")
|
|
|
|
return StreamingResponse(
|
|
iter_content(),
|
|
media_type=media_type,
|
|
headers={"Content-Disposition": f'attachment; filename="{filename}"'},
|
|
)
|
|
|
|
|
|
@app.get("/api/collection/sets")
|
|
async def collection_sets():
|
|
"""Return distinct set codes + names in the collection (for filter autocomplete)."""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"SELECT DISTINCT UPPER(set_code) as code, set_name as name FROM collection_entries WHERE set_code != '' ORDER BY set_name ASC"
|
|
).fetchall()
|
|
result = []
|
|
for r in rows:
|
|
code = r["code"] if "code" in r.keys() else r[0]
|
|
name = r["name"] if "name" in r.keys() else r[1]
|
|
if code:
|
|
result.append({"code": code, "name": name or code})
|
|
return JSONResponse(result)
|
|
|
|
|
|
@app.get("/api/collection/keywords")
|
|
async def collection_keywords():
|
|
"""Return distinct keywords found in the collection."""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute("SELECT keywords FROM collection_entries WHERE keywords != '' AND keywords != '[]'").fetchall()
|
|
kw_set = set()
|
|
for r in rows:
|
|
try:
|
|
kws = json.loads(r["keywords"]) if isinstance(r["keywords"], str) else r["keywords"]
|
|
if isinstance(kws, list):
|
|
for k in kws:
|
|
if k:
|
|
kw_set.add(k)
|
|
except (json.JSONDecodeError, TypeError):
|
|
pass
|
|
return JSONResponse(sorted(kw_set))
|
|
|
|
|
|
@app.get("/api/collection")
|
|
async def list_collection(
|
|
page: int = 1,
|
|
pageSize: int = 50,
|
|
q: Optional[str] = None,
|
|
sortField: Optional[str] = None,
|
|
sortDir: Optional[str] = None,
|
|
colors: Optional[str] = None,
|
|
types: Optional[str] = None,
|
|
isLegendary: Optional[bool] = None,
|
|
isBasic: Optional[bool] = None,
|
|
isGameChanger: Optional[bool] = None,
|
|
highSalt: Optional[bool] = None,
|
|
finish: Optional[str] = None,
|
|
cmcMin: Optional[float] = None,
|
|
cmcMax: Optional[float] = None,
|
|
priceMin: Optional[float] = None,
|
|
priceMax: Optional[float] = None,
|
|
category: Optional[str] = None,
|
|
deck_id: Optional[int] = None,
|
|
rarity: Optional[str] = None,
|
|
setCode: Optional[str] = None,
|
|
powerMin: Optional[str] = None,
|
|
powerMax: Optional[str] = None,
|
|
toughMin: Optional[str] = None,
|
|
toughMax: Optional[str] = None,
|
|
keyword: Optional[str] = None,
|
|
edhrecMin: Optional[int] = None,
|
|
edhrecMax: Optional[int] = None,
|
|
qtyMin: Optional[int] = None,
|
|
qtyMax: Optional[int] = None,
|
|
):
|
|
"""List collection entries with search, sort, and filter.
|
|
Optional deck_id: when provided, includes in_deck_quantity for each result.
|
|
"""
|
|
where_str, params = _build_collection_filters(
|
|
q=q, colors=colors, types=types, isLegendary=isLegendary,
|
|
isBasic=isBasic, isGameChanger=isGameChanger, highSalt=highSalt,
|
|
finish=finish, cmcMin=cmcMin, cmcMax=cmcMax,
|
|
priceMin=priceMin, priceMax=priceMax, category=category,
|
|
rarity=rarity, setCode=setCode, powerMin=powerMin, powerMax=powerMax,
|
|
toughMin=toughMin, toughMax=toughMax, keyword=keyword,
|
|
edhrecMin=edhrecMin, edhrecMax=edhrecMax, qtyMin=qtyMin, qtyMax=qtyMax,
|
|
)
|
|
|
|
# Validate sort
|
|
sort_field = sortField if sortField in VALID_SORT_FIELDS else "name"
|
|
sort_dir = "DESC" if (sortDir or "").upper() == "DESC" else "ASC"
|
|
|
|
conn = _get_db_conn()
|
|
|
|
# Count total
|
|
count_sql = f"SELECT COUNT(*) FROM collection_entries {where_str}"
|
|
total = conn.execute(count_sql, params).fetchone()[0]
|
|
|
|
# Paginate
|
|
offset = (max(1, page) - 1) * pageSize
|
|
data_sql = f"""
|
|
SELECT * FROM collection_entries {where_str}
|
|
ORDER BY {sort_field} {sort_dir}
|
|
LIMIT ? OFFSET ?
|
|
"""
|
|
rows = conn.execute(data_sql, params + [pageSize, offset]).fetchall()
|
|
items = [_add_image_url(_row_to_dict(r)) for r in rows]
|
|
|
|
# If deck_id provided, annotate each item with how many copies are already in that deck
|
|
if deck_id is not None:
|
|
# Build a map of scryfall_id -> quantity in deck
|
|
deck_card_rows = conn.execute(
|
|
"SELECT scryfall_id, SUM(quantity) as qty FROM deck_cards WHERE deck_id = ? GROUP BY scryfall_id",
|
|
(deck_id,)
|
|
).fetchall()
|
|
in_deck_map = {row["scryfall_id"]: row["qty"] for row in deck_card_rows}
|
|
for item in items:
|
|
item["in_deck_quantity"] = in_deck_map.get(item.get("scryfall_id", ""), 0)
|
|
|
|
return {"items": items, "page": page, "pageSize": pageSize, "total": total}
|
|
|
|
|
|
@app.get("/api/collection/{cardId}")
|
|
async def get_collection_card(cardId: int):
|
|
"""Get a single collection entry by ID."""
|
|
conn = _get_db_conn()
|
|
row = conn.execute("SELECT * FROM collection_entries WHERE id = ?", (cardId,)).fetchone()
|
|
if not row:
|
|
raise HTTPException(404, f"Card with id {cardId} not found")
|
|
return _add_image_url(_row_to_dict(row))
|
|
|
|
|
|
@app.patch("/api/collection/{cardId}")
|
|
async def update_collection_card(cardId: int, body: dict):
|
|
"""Update mutable fields of a collection entry."""
|
|
conn = _get_db_conn()
|
|
row = conn.execute("SELECT * FROM collection_entries WHERE id = ?", (cardId,)).fetchone()
|
|
if not row:
|
|
raise HTTPException(404, f"Card with id {cardId} not found")
|
|
|
|
updates = {}
|
|
if "category" in body:
|
|
cat = body["category"]
|
|
if isinstance(cat, list):
|
|
updates["category"] = json.dumps(cat)
|
|
else:
|
|
updates["category"] = cat
|
|
if "tags" in body:
|
|
updates["tags"] = str(body["tags"])
|
|
if "notes" in body:
|
|
updates["notes"] = str(body["notes"])
|
|
if "finish" in body:
|
|
finish_val = str(body["finish"]).upper()
|
|
if finish_val not in ("NORMAL", "FOIL", "ETCHED"):
|
|
raise HTTPException(400, "finish must be NORMAL, FOIL, or ETCHED")
|
|
updates["finish"] = finish_val
|
|
|
|
if not updates:
|
|
return _add_image_url(_row_to_dict(row))
|
|
|
|
updates["updated_at"] = datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S")
|
|
set_clause = ", ".join(f"{k} = ?" for k in updates)
|
|
values = list(updates.values()) + [cardId]
|
|
conn.execute(f"UPDATE collection_entries SET {set_clause} WHERE id = ?", values)
|
|
conn.commit()
|
|
|
|
updated_row = conn.execute("SELECT * FROM collection_entries WHERE id = ?", (cardId,)).fetchone()
|
|
return _add_image_url(_row_to_dict(updated_row))
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Collection Import Helpers
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# Scryfall rate-limit semaphore (max 10 req/sec)
|
|
_scryfall_lock = threading.Lock()
|
|
_scryfall_last_call = 0.0
|
|
|
|
|
|
def _scryfall_rate_limit():
|
|
"""Enforce at most 10 Scryfall requests per second via simple sleep."""
|
|
global _scryfall_last_call
|
|
with _scryfall_lock:
|
|
now = time.monotonic()
|
|
elapsed = now - _scryfall_last_call
|
|
if elapsed < 0.1:
|
|
time.sleep(0.1 - elapsed)
|
|
_scryfall_last_call = time.monotonic()
|
|
|
|
|
|
def _parse_finish(raw: str) -> str:
|
|
"""Normalize finish string to NORMAL|FOIL|ETCHED."""
|
|
if not raw:
|
|
return "NORMAL"
|
|
r = raw.strip().lower()
|
|
if r in ("etched", "foil etched", "foil_etched", "etched foil"):
|
|
return "ETCHED"
|
|
if r in ("yes", "foil", "true", "1"):
|
|
return "FOIL"
|
|
return "NORMAL"
|
|
|
|
|
|
def _parse_text_line(line: str) -> dict:
|
|
"""
|
|
Parse a text import line into {name, quantity, set_code, collector_number}.
|
|
Supports formats:
|
|
- "3 Sol Ring (CMR) 123"
|
|
- "1x Sol Ring (CMR)"
|
|
- "Sol Ring [CMR:123]"
|
|
- "1 Sol Ring"
|
|
"""
|
|
line = line.strip()
|
|
if not line or line.startswith("#") or line.startswith("//"):
|
|
return {}
|
|
|
|
result = {"name": "", "quantity": 1, "set_code": "", "collector_number": ""}
|
|
|
|
# Strip quantity prefix
|
|
qty_match = re.match(r"^(\d+)x?\s+", line)
|
|
if qty_match:
|
|
result["quantity"] = int(qty_match.group(1))
|
|
line = line[qty_match.end():]
|
|
|
|
# Format: "Name [SET:CollNum]"
|
|
bracket_match = re.search(r"\[([A-Za-z0-9]+):(\S+)\]\s*$", line)
|
|
if bracket_match:
|
|
result["set_code"] = bracket_match.group(1).lower()
|
|
result["collector_number"] = bracket_match.group(2)
|
|
line = line[:bracket_match.start()].strip()
|
|
result["name"] = line
|
|
return result
|
|
|
|
# Format: "Name (SET) CollNum"
|
|
paren_coll_match = re.search(r"\(([A-Za-z0-9]+)\)\s+(\S+)\s*$", line)
|
|
if paren_coll_match:
|
|
result["set_code"] = paren_coll_match.group(1).lower()
|
|
result["collector_number"] = paren_coll_match.group(2)
|
|
line = line[:paren_coll_match.start()].strip()
|
|
result["name"] = line
|
|
return result
|
|
|
|
# Format: "Name (SET)"
|
|
paren_match = re.search(r"\(([A-Za-z0-9]+)\)\s*$", line)
|
|
if paren_match:
|
|
result["set_code"] = paren_match.group(1).lower()
|
|
line = line[:paren_match.start()].strip()
|
|
result["name"] = line
|
|
return result
|
|
|
|
result["name"] = line.strip()
|
|
return result
|
|
|
|
|
|
def _auto_infer_mapping(headers: list) -> dict:
|
|
"""
|
|
Auto-infer column → field mapping from header names.
|
|
Returns dict of {header: field_key}.
|
|
Field keys: name, quantity, set_code, collector_number, finish, condition, language, notes, tags
|
|
"""
|
|
mapping = {}
|
|
header_lower = {h: h.lower().strip() for h in headers}
|
|
field_patterns = {
|
|
"name": ["name", "card name", "card_name", "cardname", "title"],
|
|
"quantity": ["quantity", "qty", "count", "amount", "number", "#"],
|
|
"set_code": ["set", "set code", "set_code", "edition", "set_name", "edition code"],
|
|
"collector_number": [
|
|
"collector number", "collector_number", "collectornumber",
|
|
"col #", "col#", "number", "card number",
|
|
],
|
|
"finish": ["finish", "foil", "printing", "treatment"],
|
|
"condition": ["condition", "cond", "grade"],
|
|
"language": ["language", "lang", "locale"],
|
|
"notes": ["notes", "note", "comments", "comment"],
|
|
"tags": ["tags", "tag", "labels", "label"],
|
|
}
|
|
for header, lower_h in header_lower.items():
|
|
for field, patterns in field_patterns.items():
|
|
if lower_h in patterns:
|
|
mapping[header] = field
|
|
break
|
|
return mapping
|
|
|
|
|
|
def _parse_csv_content(content: str, source: str, mapping: Optional[dict]) -> list:
|
|
"""
|
|
Parse CSV/text content into a list of RawImportRow dicts.
|
|
Returns list of dicts with keys: name, quantity, set_code, collector_number, finish, condition, language, notes, tags
|
|
"""
|
|
rows = []
|
|
source_upper = (source or "").upper()
|
|
|
|
if source_upper == "TEXT":
|
|
for line in content.splitlines():
|
|
parsed = _parse_text_line(line)
|
|
if parsed.get("name"):
|
|
rows.append(parsed)
|
|
return rows
|
|
|
|
# CSV-based sources
|
|
reader = csv.DictReader(io.StringIO(content))
|
|
headers = reader.fieldnames or []
|
|
|
|
# Build effective mapping
|
|
if mapping:
|
|
col_map = {h: mapping.get(h, "") for h in headers}
|
|
else:
|
|
col_map = _auto_infer_mapping(headers)
|
|
|
|
# Normalize col_map field values to lowercase so both "NAME" (UI) and "name" (auto-infer) work
|
|
col_map = {h: (v.lower() if isinstance(v, str) else v) for h, v in col_map.items()}
|
|
|
|
for csv_row in reader:
|
|
row = {
|
|
"name": "",
|
|
"quantity": 1,
|
|
"set_code": "",
|
|
"collector_number": "",
|
|
"finish": "NORMAL",
|
|
"condition": "",
|
|
"language": "",
|
|
"notes": "",
|
|
"tags": "",
|
|
}
|
|
for header, field in col_map.items():
|
|
val = csv_row.get(header, "").strip()
|
|
if not val or field == "ignore" or not field:
|
|
continue
|
|
if field == "name":
|
|
# Strip finish suffix like "(Foil Etched)"
|
|
val = re.sub(r"\s*\(foil(?: etched)?\)\s*$", "", val, flags=re.IGNORECASE).strip()
|
|
row["name"] = val
|
|
elif field == "quantity":
|
|
try:
|
|
row["quantity"] = int(float(val))
|
|
except ValueError:
|
|
row["quantity"] = 1
|
|
elif field in ("set_code", "set_code_secondary"):
|
|
row["set_code"] = val.lower()
|
|
elif field in ("collector_number", "collector_number_secondary"):
|
|
row["collector_number"] = val
|
|
elif field == "finish":
|
|
row["finish"] = _parse_finish(val)
|
|
elif field == "condition":
|
|
row["condition"] = val
|
|
elif field == "language":
|
|
row["language"] = val
|
|
elif field == "notes":
|
|
row["notes"] = val
|
|
elif field == "tags":
|
|
row["tags"] = val
|
|
|
|
if row["name"]:
|
|
rows.append(row)
|
|
|
|
return rows
|
|
|
|
|
|
def _enrich_from_scryfall(name: str, set_code: str = "", collector_number: str = "") -> dict:
|
|
"""
|
|
Fetch card data from Scryfall and return enriched fields dict.
|
|
Tries set+collectorNumber first, then exact name lookup.
|
|
Returns empty dict on failure.
|
|
"""
|
|
from urllib.parse import quote
|
|
_scryfall_rate_limit()
|
|
|
|
card_data = None
|
|
last_error = ""
|
|
|
|
# Try set + collector number first
|
|
if set_code and collector_number:
|
|
try:
|
|
url = f"https://api.scryfall.com/cards/{set_code.lower()}/{collector_number}"
|
|
req = Request(url, headers=_API_HEADERS)
|
|
with urlopen(req, timeout=10) as resp:
|
|
card_data = json.loads(resp.read().decode("utf-8"))
|
|
except Exception as e:
|
|
last_error = str(e)
|
|
card_data = None
|
|
|
|
# Fall back to exact name lookup
|
|
if not card_data:
|
|
_scryfall_rate_limit()
|
|
try:
|
|
encoded_name = quote(name)
|
|
url = f"https://api.scryfall.com/cards/named?exact={encoded_name}"
|
|
req = Request(url, headers=_API_HEADERS)
|
|
with urlopen(req, timeout=10) as resp:
|
|
card_data = json.loads(resp.read().decode("utf-8"))
|
|
except Exception as e:
|
|
last_error = str(e)
|
|
return {"_error": f"Scryfall lookup failed for '{name}': {last_error}"}
|
|
|
|
if not card_data or card_data.get("object") == "error":
|
|
err_detail = card_data.get("details", "unknown error") if card_data else last_error
|
|
return {"_error": f"Scryfall returned error for '{name}': {err_detail}"}
|
|
|
|
# Extract fields
|
|
type_line = card_data.get("type_line", "")
|
|
color_identity = card_data.get("color_identity", [])
|
|
keywords = card_data.get("keywords", [])
|
|
|
|
# Parse subtypes (after em-dash or hyphen)
|
|
subtypes = []
|
|
for sep in [" \u2014 ", " - "]:
|
|
if sep in type_line:
|
|
parts = type_line.split(sep, 1)
|
|
subtypes = [s.strip() for s in parts[1].split() if s.strip()]
|
|
break
|
|
|
|
is_legendary = 1 if "Legendary" in type_line else 0
|
|
is_basic = 1 if "Basic" in type_line else 0
|
|
|
|
# Get price
|
|
prices = card_data.get("prices", {})
|
|
tcg_price = 0.0
|
|
try:
|
|
price_val = prices.get("usd") or prices.get("usd_foil") or "0"
|
|
tcg_price = float(price_val) if price_val else 0.0
|
|
except (ValueError, TypeError):
|
|
tcg_price = 0.0
|
|
|
|
# Handle double-faced cards: oracle_text may be on card_faces
|
|
oracle_text = card_data.get("oracle_text", "")
|
|
if not oracle_text and card_data.get("card_faces"):
|
|
face_texts = [f.get("oracle_text", "") for f in card_data["card_faces"]]
|
|
oracle_text = "\n//\n".join(t for t in face_texts if t)
|
|
|
|
# Power/toughness (may be on card_faces for DFCs)
|
|
power = card_data.get("power", "")
|
|
toughness = card_data.get("toughness", "")
|
|
if not power and card_data.get("card_faces"):
|
|
power = card_data["card_faces"][0].get("power", "")
|
|
toughness = card_data["card_faces"][0].get("toughness", "")
|
|
|
|
# Mana cost (may be on card_faces for DFCs)
|
|
mana_cost = card_data.get("mana_cost", "")
|
|
if not mana_cost and card_data.get("card_faces"):
|
|
mana_cost = card_data["card_faces"][0].get("mana_cost", "")
|
|
|
|
# Auto-detect functional categories
|
|
auto_roles = _detect_card_roles(oracle_text, type_line, keywords)
|
|
|
|
return {
|
|
"name": card_data.get("name", name),
|
|
"type_line": type_line,
|
|
"subtypes": json.dumps(subtypes),
|
|
"is_legendary": is_legendary,
|
|
"is_basic": is_basic,
|
|
"color_identity": json.dumps(color_identity),
|
|
"cmc": card_data.get("cmc", 0.0),
|
|
"mana_cost": mana_cost,
|
|
"oracle_text": oracle_text,
|
|
"keywords": json.dumps(keywords),
|
|
"power": power or "",
|
|
"toughness": toughness or "",
|
|
"rarity": card_data.get("rarity", ""),
|
|
"set_name": card_data.get("set_name", ""),
|
|
"edhrec_rank": card_data.get("edhrec_rank", 0) or 0,
|
|
"tcg_price": tcg_price,
|
|
"salt_score": 0.0,
|
|
"is_game_changer": 0,
|
|
"category": json.dumps(auto_roles),
|
|
"scryfall_id": card_data.get("id", ""),
|
|
"tcgplayer_id": str(card_data.get("tcgplayer_id", "")),
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Collection Import Endpoint
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
@app.post("/api/collection/import")
|
|
async def import_collection(body: dict):
|
|
"""
|
|
Import cards into the collection from CSV, Moxfield, Archidekt, or plain text.
|
|
|
|
Body:
|
|
{
|
|
"source": "CSV" | "MOXFIELD" | "ARCHIDEKT" | "TEXT",
|
|
"mode": "MERGE" | "REPLACE",
|
|
"content": "...csv or text content...",
|
|
"mapping": { ... optional column mapping ... }
|
|
}
|
|
"""
|
|
source = str(body.get("source", "CSV")).upper()
|
|
mode = str(body.get("mode", "MERGE")).upper()
|
|
content = str(body.get("content", ""))
|
|
mapping = body.get("mapping", {})
|
|
|
|
if not content.strip():
|
|
raise HTTPException(400, "content is required")
|
|
|
|
imported_count = 0
|
|
updated_count = 0
|
|
failed_count = 0
|
|
errors = []
|
|
|
|
conn = _get_db_conn()
|
|
|
|
# REPLACE mode: clear existing entries
|
|
if mode == "REPLACE":
|
|
conn.execute("DELETE FROM collection_entries")
|
|
conn.commit()
|
|
|
|
# Parse the content into raw rows
|
|
try:
|
|
raw_rows = _parse_csv_content(content, source, mapping if mapping else None)
|
|
except Exception as e:
|
|
raise HTTPException(400, f"Failed to parse content: {str(e)}")
|
|
|
|
for raw in raw_rows:
|
|
name = raw.get("name", "").strip()
|
|
if not name:
|
|
continue
|
|
|
|
quantity = int(raw.get("quantity", 1))
|
|
set_code = raw.get("set_code", "").lower()
|
|
collector_number = raw.get("collector_number", "")
|
|
finish = _parse_finish(raw.get("finish", ""))
|
|
condition = raw.get("condition", "")
|
|
language = raw.get("language", "")
|
|
notes = raw.get("notes", "")
|
|
tags = raw.get("tags", "")
|
|
|
|
# Scryfall enrichment
|
|
try:
|
|
enriched = _enrich_from_scryfall(name, set_code, collector_number)
|
|
except Exception as e:
|
|
errors.append(f"Scryfall error for '{name}': {str(e)}")
|
|
failed_count += 1
|
|
continue
|
|
|
|
if not enriched or "_error" in enriched:
|
|
err_msg = enriched.get("_error", f"Card not found on Scryfall: '{name}'") if enriched else f"Card not found on Scryfall: '{name}'"
|
|
errors.append(err_msg)
|
|
failed_count += 1
|
|
continue
|
|
|
|
# Use Scryfall-resolved name if available
|
|
resolved_name = enriched.get("name", name)
|
|
|
|
# Check for existing entry (identity key)
|
|
existing = conn.execute(
|
|
"""SELECT id, quantity FROM collection_entries
|
|
WHERE name = ? AND set_code = ? AND collector_number = ? AND finish = ?""",
|
|
(resolved_name, set_code, collector_number, finish),
|
|
).fetchone()
|
|
|
|
if existing and mode == "MERGE":
|
|
# Update quantity
|
|
new_qty = existing["quantity"] + quantity
|
|
conn.execute(
|
|
"UPDATE collection_entries SET quantity = ?, updated_at = datetime('now') WHERE id = ?",
|
|
(new_qty, existing["id"]),
|
|
)
|
|
conn.commit()
|
|
updated_count += 1
|
|
else:
|
|
# Insert new row
|
|
conn.execute(
|
|
"""INSERT INTO collection_entries
|
|
(name, type_line, subtypes, is_legendary, is_basic, color_identity,
|
|
cmc, mana_cost, oracle_text, keywords,
|
|
power, toughness, rarity, set_name, edhrec_rank,
|
|
tcg_price, salt_score, is_game_changer,
|
|
category, scryfall_id, tcgplayer_id,
|
|
quantity, finish, condition, language, notes, tags,
|
|
set_code, collector_number)
|
|
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
|
|
(
|
|
resolved_name,
|
|
enriched.get("type_line", ""),
|
|
enriched.get("subtypes", "[]"),
|
|
enriched.get("is_legendary", 0),
|
|
enriched.get("is_basic", 0),
|
|
enriched.get("color_identity", "[]"),
|
|
enriched.get("cmc", 0.0),
|
|
enriched.get("mana_cost", ""),
|
|
enriched.get("oracle_text", ""),
|
|
enriched.get("keywords", "[]"),
|
|
enriched.get("power", ""),
|
|
enriched.get("toughness", ""),
|
|
enriched.get("rarity", ""),
|
|
enriched.get("set_name", ""),
|
|
enriched.get("edhrec_rank", 0),
|
|
enriched.get("tcg_price", 0.0),
|
|
enriched.get("salt_score", 0.0),
|
|
enriched.get("is_game_changer", 0),
|
|
enriched.get("category", "[]"),
|
|
enriched.get("scryfall_id", ""),
|
|
enriched.get("tcgplayer_id", ""),
|
|
quantity,
|
|
finish,
|
|
condition,
|
|
language,
|
|
notes,
|
|
tags,
|
|
set_code,
|
|
collector_number,
|
|
),
|
|
)
|
|
conn.commit()
|
|
imported_count += 1
|
|
|
|
return {
|
|
"importedCount": imported_count,
|
|
"updatedCount": updated_count,
|
|
"failedCount": failed_count,
|
|
"errors": errors,
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Deck Builder Helpers
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# Type classification priority order
|
|
_TYPE_PRIORITY = ["Land", "Instant", "Sorcery", "Artifact", "Enchantment", "Planeswalker", "Creature"]
|
|
|
|
# Target ranges: {type: [min, max]}
|
|
_TYPE_TARGETS = {
|
|
"Land": [36, 38],
|
|
"Instant": [9, 11],
|
|
"Sorcery": [7, 9],
|
|
"Artifact": [9, 11],
|
|
"Creature": [20, 30],
|
|
"Enchantment": [5, 10],
|
|
"Planeswalker": [0, 5],
|
|
}
|
|
|
|
|
|
def _classify_card_type(type_line: str) -> str:
|
|
"""Classify a card's primary type per priority order."""
|
|
tl = type_line or ""
|
|
for t in _TYPE_PRIORITY:
|
|
if t in tl:
|
|
return t
|
|
return "Other"
|
|
|
|
|
|
def _detect_card_roles(oracle_text: str, type_line: str, keywords) -> list:
|
|
"""
|
|
Detect functional roles from oracle text, type line, and keywords.
|
|
Inspired by Archidekt auto-category system.
|
|
Returns a list of role strings.
|
|
"""
|
|
roles = []
|
|
ot = (oracle_text or "").lower()
|
|
tl = (type_line or "").lower()
|
|
kw_raw = keywords or []
|
|
if isinstance(kw_raw, str):
|
|
try:
|
|
kw_raw = json.loads(kw_raw)
|
|
except Exception:
|
|
kw_raw = []
|
|
kw = " ".join(str(k).lower() for k in kw_raw)
|
|
|
|
# ── Ramp ──────────────────────────────────────────────
|
|
if (
|
|
"add {" in ot
|
|
or "add one mana" in ot
|
|
or ("search your library for a" in ot and "land" in ot)
|
|
or ("land" in tl and "enters" in ot and "add" in ot)
|
|
or "treasure token" in ot
|
|
or "add mana" in ot
|
|
):
|
|
roles.append("Ramp")
|
|
|
|
# ── Draw ──────────────────────────────────────────────
|
|
if (
|
|
"draw a card" in ot
|
|
or "draw cards" in ot
|
|
or "draws a card" in ot
|
|
or "draw two cards" in ot
|
|
or "draw three cards" in ot
|
|
or re.search(r"draw \d+ cards?", ot)
|
|
or "whenever" in ot and "draw" in ot
|
|
):
|
|
roles.append("Draw")
|
|
|
|
# ── Removal ───────────────────────────────────────────
|
|
if (
|
|
"destroy target" in ot
|
|
or "exile target" in ot
|
|
or re.search(r"deals? \d+ damage to (target|any target)", ot)
|
|
or re.search(r"deals? x damage to (target|any target)", ot)
|
|
or "target creature gets -" in ot
|
|
or "fights target" in ot
|
|
):
|
|
roles.append("Removal")
|
|
|
|
# ── Board Wipe ────────────────────────────────────────
|
|
if (
|
|
"destroy all" in ot
|
|
or "exile all" in ot
|
|
or re.search(r"all creatures get -\d+/-\d+", ot)
|
|
or re.search(r"each creature gets -\d+/-\d+", ot)
|
|
or ("deals" in ot and "to each creature" in ot)
|
|
):
|
|
roles.append("Board Wipe")
|
|
|
|
# ── Anthem ────────────────────────────────────────────
|
|
if (
|
|
re.search(r"creatures? you control get \+", ot)
|
|
or re.search(r"creatures? you control have", ot)
|
|
or re.search(r"other creatures? you control get \+", ot)
|
|
or re.search(r"each creature you control gets? \+", ot)
|
|
):
|
|
roles.append("Anthem")
|
|
|
|
# ── Protection ────────────────────────────────────────
|
|
if (
|
|
"hexproof" in ot or "hexproof" in kw
|
|
or "indestructible" in ot or "indestructible" in kw
|
|
or "shroud" in ot or "shroud" in kw
|
|
or "ward" in ot or "ward" in kw
|
|
or "protection from" in ot
|
|
or "can't be the target" in ot
|
|
):
|
|
roles.append("Protection")
|
|
|
|
# ── Tutor ─────────────────────────────────────────────
|
|
if "search your library" in ot:
|
|
roles.append("Tutor")
|
|
|
|
# ── Counter ───────────────────────────────────────────
|
|
if "counter target" in ot:
|
|
roles.append("Counter")
|
|
|
|
# ── Token ─────────────────────────────────────────────
|
|
if (
|
|
re.search(r"create[sd]? .*token", ot)
|
|
or "creature token" in ot
|
|
):
|
|
roles.append("Token")
|
|
|
|
# ── Sacrifice ─────────────────────────────────────────
|
|
if (
|
|
"sacrifice a " in ot
|
|
or "sacrifice another" in ot
|
|
or "when" in ot and "sacrifice" in ot and "dies" not in ot
|
|
or "each player sacrifices" in ot
|
|
):
|
|
roles.append("Sacrifice")
|
|
|
|
# ── Recursion / Reanimate ─────────────────────────────
|
|
if (
|
|
"return" in ot and "from your graveyard" in ot
|
|
or "return" in ot and "from a graveyard" in ot
|
|
or "put" in ot and "from your graveyard" in ot and "onto the battlefield" in ot
|
|
or "put" in ot and "from a graveyard" in ot and "onto the battlefield" in ot
|
|
):
|
|
roles.append("Recursion")
|
|
|
|
# ── Graveyard ─────────────────────────────────────────
|
|
if (
|
|
"graveyard" in ot
|
|
and ("mill" in ot or "put" in ot and "into" in ot and "graveyard" in ot)
|
|
) or "mill" in kw:
|
|
roles.append("Graveyard")
|
|
|
|
# ── Lifegain ──────────────────────────────────────────
|
|
if (
|
|
"gain" in ot and "life" in ot
|
|
or "lifelink" in ot or "lifelink" in kw
|
|
):
|
|
roles.append("Lifegain")
|
|
|
|
# ── Burn ──────────────────────────────────────────────
|
|
if (
|
|
re.search(r"deals? \d+ damage to (each|any|target) (opponent|player)", ot)
|
|
or "each opponent loses" in ot and "life" in ot
|
|
or "deals damage to each opponent" in ot
|
|
):
|
|
roles.append("Burn")
|
|
|
|
# ── Stax ──────────────────────────────────────────────
|
|
if (
|
|
"can't cast" in ot
|
|
or "can't attack" in ot
|
|
or "can't activate" in ot
|
|
or "enters the battlefield tapped" in ot and "opponents" in ot
|
|
or "each player can't" in ot
|
|
or "players can't" in ot
|
|
or "cost {" in ot and "more to cast" in ot
|
|
or "cost more" in ot and "spells" in ot
|
|
):
|
|
roles.append("Stax")
|
|
|
|
# ── Evasion ───────────────────────────────────────────
|
|
if (
|
|
"flying" in kw
|
|
or "trample" in kw
|
|
or "menace" in kw
|
|
or "shadow" in kw
|
|
or "fear" in kw
|
|
or "intimidate" in kw
|
|
or "can't be blocked" in ot
|
|
or "unblockable" in ot
|
|
):
|
|
roles.append("Evasion")
|
|
|
|
# ── Finisher ──────────────────────────────────────────
|
|
if (
|
|
"you win the game" in ot
|
|
or "extra turn" in ot
|
|
or "infinite" in ot
|
|
or "loses the game" in ot
|
|
or "damage equal to" in ot and ("number" in ot or "total" in ot)
|
|
):
|
|
roles.append("Finisher")
|
|
|
|
# ── Combo ─────────────────────────────────────────────
|
|
if (
|
|
"untap all" in ot
|
|
or "copy" in ot and "spell" in ot
|
|
or "take an extra" in ot
|
|
or "double" in ot and ("damage" in ot or "counters" in ot or "tokens" in ot)
|
|
):
|
|
roles.append("Combo")
|
|
|
|
return roles
|
|
|
|
|
|
def _get_deck_or_404(deck_id: int):
|
|
"""Fetch a deck row or raise 404."""
|
|
conn = _get_db_conn()
|
|
row = conn.execute("SELECT * FROM decks WHERE id = ?", (deck_id,)).fetchone()
|
|
if not row:
|
|
raise HTTPException(404, f"Deck {deck_id} not found")
|
|
d = dict(row)
|
|
try:
|
|
d["color_identity"] = json.loads(d.get("color_identity", "[]"))
|
|
except Exception:
|
|
d["color_identity"] = []
|
|
return d
|
|
|
|
|
|
def _compute_deck_analysis(deck_id: int) -> dict:
|
|
"""
|
|
Build the full analysis dict for a deck.
|
|
Joins deck_cards with collection_entries via scryfall_id.
|
|
"""
|
|
conn = _get_db_conn()
|
|
|
|
rows = conn.execute(
|
|
"""
|
|
SELECT dc.id, dc.scryfall_id, dc.card_name, dc.quantity, dc.is_commander, dc.role_tag,
|
|
ce.type_line, ce.oracle_text, ce.keywords, ce.cmc, ce.color_identity
|
|
FROM deck_cards dc
|
|
LEFT JOIN collection_entries ce ON ce.scryfall_id = dc.scryfall_id
|
|
WHERE dc.deck_id = ?
|
|
""",
|
|
(deck_id,)
|
|
).fetchall()
|
|
|
|
counts_by_type = {t: 0 for t in _TYPE_PRIORITY}
|
|
counts_by_type["Other"] = 0
|
|
mana_curve = {0: 0, 1: 0, 2: 0, 3: 0, 4: 0, 5: 0, "6+": 0}
|
|
color_pips = {"W": 0, "U": 0, "B": 0, "R": 0, "G": 0}
|
|
roles_count = {"Ramp": 0, "Draw": 0, "Removal": 0, "BoardWipe": 0,
|
|
"Protection": 0, "Tutor": 0, "Counter": 0}
|
|
total_cards = 0
|
|
|
|
for row in rows:
|
|
qty = row["quantity"] or 1
|
|
total_cards += qty
|
|
type_line = row["type_line"] or ""
|
|
oracle_text = row["oracle_text"] or ""
|
|
keywords = row["keywords"] or "[]"
|
|
cmc = float(row["cmc"] or 0)
|
|
col_id_raw = row["color_identity"] or "[]"
|
|
|
|
card_type = _classify_card_type(type_line)
|
|
counts_by_type[card_type] = counts_by_type.get(card_type, 0) + qty
|
|
|
|
# Mana curve (exclude lands)
|
|
if card_type != "Land":
|
|
cmc_int = int(cmc)
|
|
if cmc_int >= 6:
|
|
mana_curve["6+"] += qty
|
|
else:
|
|
mana_curve[cmc_int] = mana_curve.get(cmc_int, 0) + qty
|
|
|
|
# Color pips from color_identity
|
|
try:
|
|
ci = json.loads(col_id_raw) if isinstance(col_id_raw, str) else col_id_raw
|
|
except Exception:
|
|
ci = []
|
|
for c in ci:
|
|
if c in color_pips:
|
|
color_pips[c] += qty
|
|
|
|
# Detect roles
|
|
card_roles = _detect_card_roles(oracle_text, type_line, keywords)
|
|
for role in card_roles:
|
|
if role in roles_count:
|
|
roles_count[role] += qty
|
|
|
|
# Compute deltas: current - midpoint of target range
|
|
deltas = {}
|
|
for t, (lo, hi) in _TYPE_TARGETS.items():
|
|
mid = (lo + hi) / 2
|
|
current = counts_by_type.get(t, 0)
|
|
delta = current - mid
|
|
deltas[t] = round(delta, 1)
|
|
|
|
return {
|
|
"counts_by_type": counts_by_type,
|
|
"targets": _TYPE_TARGETS,
|
|
"deltas": deltas,
|
|
"mana_curve": mana_curve,
|
|
"color_pips": color_pips,
|
|
"total_cards": total_cards,
|
|
"roles": roles_count,
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Deck Builder Endpoints
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# ── 2.1 Deck CRUD ─────────────────────────────────────────────
|
|
|
|
@app.post("/api/decks")
|
|
async def create_deck(req: CreateDeckRequest):
|
|
"""Create a new deck."""
|
|
conn = _get_db_conn()
|
|
color_identity_json = json.dumps(req.color_identity or [])
|
|
cur = conn.execute(
|
|
"""
|
|
INSERT INTO decks (name, commander_scryfall_id, commander_name, color_identity, strategy_tag)
|
|
VALUES (?, ?, ?, ?, ?)
|
|
""",
|
|
(
|
|
req.name,
|
|
req.commander_scryfall_id or "",
|
|
req.commander_name or "",
|
|
color_identity_json,
|
|
req.strategy_tag or "",
|
|
)
|
|
)
|
|
conn.commit()
|
|
deck_id = cur.lastrowid
|
|
return _get_deck_or_404(deck_id)
|
|
|
|
|
|
@app.get("/api/decks")
|
|
async def list_decks_db():
|
|
"""List all decks with card counts."""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"""
|
|
SELECT d.*,
|
|
COALESCE(SUM(dc.quantity), 0) AS total_cards,
|
|
COUNT(dc.id) AS card_slots
|
|
FROM decks d
|
|
LEFT JOIN deck_cards dc ON dc.deck_id = d.id
|
|
GROUP BY d.id
|
|
ORDER BY d.updated_at DESC
|
|
"""
|
|
).fetchall()
|
|
decks = []
|
|
for row in rows:
|
|
d = dict(row)
|
|
try:
|
|
d["color_identity"] = json.loads(d.get("color_identity", "[]"))
|
|
except Exception:
|
|
d["color_identity"] = []
|
|
decks.append(d)
|
|
return {"decks": decks}
|
|
|
|
|
|
@app.get("/api/decks/{deck_id}")
|
|
async def get_deck(deck_id: int):
|
|
"""Get full deck info with composition summary."""
|
|
deck = _get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
card_rows = conn.execute(
|
|
"SELECT * FROM deck_cards WHERE deck_id = ? ORDER BY is_commander DESC, card_name ASC",
|
|
(deck_id,)
|
|
).fetchall()
|
|
deck["cards"] = [dict(r) for r in card_rows]
|
|
deck["total_cards"] = sum(r["quantity"] for r in card_rows)
|
|
deck["card_slots"] = len(card_rows)
|
|
# Composition summary by type
|
|
analysis = _compute_deck_analysis(deck_id)
|
|
deck["composition"] = analysis["counts_by_type"]
|
|
return deck
|
|
|
|
|
|
@app.put("/api/decks/{deck_id}")
|
|
async def update_deck(deck_id: int, req: UpdateDeckRequest):
|
|
"""Update deck metadata."""
|
|
_get_deck_or_404(deck_id) # ensure exists
|
|
conn = _get_db_conn()
|
|
|
|
updates = {}
|
|
if req.name is not None:
|
|
updates["name"] = req.name
|
|
if req.commander_scryfall_id is not None:
|
|
updates["commander_scryfall_id"] = req.commander_scryfall_id
|
|
if req.commander_name is not None:
|
|
updates["commander_name"] = req.commander_name
|
|
if req.color_identity is not None:
|
|
updates["color_identity"] = json.dumps(req.color_identity)
|
|
if req.strategy_tag is not None:
|
|
updates["strategy_tag"] = req.strategy_tag
|
|
|
|
if not updates:
|
|
return _get_deck_or_404(deck_id)
|
|
|
|
updates["updated_at"] = datetime.utcnow().strftime("%Y-%m-%d %H:%M:%S")
|
|
set_clause = ", ".join(f"{k} = ?" for k in updates)
|
|
conn.execute(f"UPDATE decks SET {set_clause} WHERE id = ?", list(updates.values()) + [deck_id])
|
|
conn.commit()
|
|
return _get_deck_or_404(deck_id)
|
|
|
|
|
|
@app.delete("/api/decks/{deck_id}")
|
|
async def delete_deck(deck_id: int):
|
|
"""Delete a deck and all its cards (cascade)."""
|
|
_get_deck_or_404(deck_id) # ensure exists
|
|
conn = _get_db_conn()
|
|
conn.execute("DELETE FROM deck_cards WHERE deck_id = ?", (deck_id,))
|
|
conn.execute("DELETE FROM decks WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
return {"deleted": True, "deck_id": deck_id}
|
|
|
|
|
|
# ── 2.2 Deck Card Manipulation ───────────────────────────────
|
|
|
|
@app.get("/api/decks/{deck_id}/cards")
|
|
async def get_deck_cards(deck_id: int):
|
|
"""Get all cards in a deck with joined collection data."""
|
|
_get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"""
|
|
SELECT
|
|
dc.id, dc.deck_id, dc.scryfall_id, dc.card_name, dc.quantity,
|
|
dc.is_commander, dc.role_tag,
|
|
ce.type_line, ce.cmc, ce.color_identity, ce.oracle_text, ce.keywords,
|
|
ce.tcg_price, ce.quantity AS owned_qty, ce.is_legendary,
|
|
ce.salt_score, ce.is_game_changer
|
|
FROM deck_cards dc
|
|
LEFT JOIN collection_entries ce ON ce.scryfall_id = dc.scryfall_id
|
|
WHERE dc.deck_id = ?
|
|
ORDER BY dc.is_commander DESC, dc.card_name ASC
|
|
""",
|
|
(deck_id,)
|
|
).fetchall()
|
|
cards = []
|
|
for row in rows:
|
|
d = dict(row)
|
|
# Parse JSON fields
|
|
for f in ("color_identity", "keywords"):
|
|
if isinstance(d.get(f), str):
|
|
try:
|
|
d[f] = json.loads(d[f])
|
|
except Exception:
|
|
d[f] = []
|
|
d["image_url"] = (
|
|
f"https://api.scryfall.com/cards/{d['scryfall_id']}?format=image&version=normal"
|
|
if d.get("scryfall_id") else None
|
|
)
|
|
cards.append(d)
|
|
return {"cards": cards, "total": len(cards)}
|
|
|
|
|
|
@app.post("/api/decks/{deck_id}/cards")
|
|
async def add_deck_card(deck_id: int, req: AddDeckCardRequest):
|
|
"""Add or update a card in the deck."""
|
|
_get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
|
|
# Look up card_name from collection_entries by scryfall_id, fall back to request
|
|
ce_row = conn.execute(
|
|
"SELECT name FROM collection_entries WHERE scryfall_id = ? LIMIT 1",
|
|
(req.scryfall_id,)
|
|
).fetchone()
|
|
card_name = ce_row["name"] if ce_row else (req.card_name or "")
|
|
|
|
# Check if this scryfall_id is already in the deck
|
|
existing = conn.execute(
|
|
"SELECT id, quantity FROM deck_cards WHERE deck_id = ? AND scryfall_id = ?",
|
|
(deck_id, req.scryfall_id)
|
|
).fetchone()
|
|
|
|
if existing:
|
|
new_qty = existing["quantity"] + (req.quantity or 1)
|
|
conn.execute(
|
|
"UPDATE deck_cards SET quantity = ?, role_tag = ?, is_commander = ? WHERE id = ?",
|
|
(new_qty, req.role_tag or "", req.is_commander or 0, existing["id"])
|
|
)
|
|
conn.commit()
|
|
row = conn.execute("SELECT * FROM deck_cards WHERE id = ?", (existing["id"],)).fetchone()
|
|
else:
|
|
cur = conn.execute(
|
|
"""
|
|
INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity, is_commander, role_tag)
|
|
VALUES (?, ?, ?, ?, ?, ?)
|
|
""",
|
|
(
|
|
deck_id, req.scryfall_id, card_name,
|
|
req.quantity or 1,
|
|
req.is_commander or 0,
|
|
req.role_tag or ""
|
|
)
|
|
)
|
|
conn.commit()
|
|
row = conn.execute("SELECT * FROM deck_cards WHERE id = ?", (cur.lastrowid,)).fetchone()
|
|
|
|
# Update deck updated_at
|
|
conn.execute("UPDATE decks SET updated_at = datetime('now') WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
return dict(row)
|
|
|
|
|
|
@app.delete("/api/decks/{deck_id}/cards/{card_id}")
|
|
async def remove_deck_card(deck_id: int, card_id: int):
|
|
"""Remove a card from a deck."""
|
|
_get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
row = conn.execute(
|
|
"SELECT id FROM deck_cards WHERE id = ? AND deck_id = ?", (card_id, deck_id)
|
|
).fetchone()
|
|
if not row:
|
|
raise HTTPException(404, f"Card slot {card_id} not found in deck {deck_id}")
|
|
conn.execute("DELETE FROM deck_cards WHERE id = ?", (card_id,))
|
|
conn.execute("UPDATE decks SET updated_at = datetime('now') WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
return {"deleted": True, "card_id": card_id, "deck_id": deck_id}
|
|
|
|
|
|
@app.patch("/api/decks/{deck_id}/cards/{card_id}")
|
|
async def patch_deck_card(deck_id: int, card_id: int, req: PatchDeckCardRequest):
|
|
"""Update quantity or role_tag for a card in a deck."""
|
|
_get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
row = conn.execute(
|
|
"SELECT * FROM deck_cards WHERE id = ? AND deck_id = ?", (card_id, deck_id)
|
|
).fetchone()
|
|
if not row:
|
|
raise HTTPException(404, f"Card slot {card_id} not found in deck {deck_id}")
|
|
|
|
updates = {}
|
|
if req.quantity is not None:
|
|
if req.quantity < 1:
|
|
raise HTTPException(400, "quantity must be >= 1")
|
|
updates["quantity"] = req.quantity
|
|
if req.role_tag is not None:
|
|
updates["role_tag"] = req.role_tag
|
|
|
|
if updates:
|
|
set_clause = ", ".join(f"{k} = ?" for k in updates)
|
|
conn.execute(
|
|
f"UPDATE deck_cards SET {set_clause} WHERE id = ?",
|
|
list(updates.values()) + [card_id]
|
|
)
|
|
conn.execute("UPDATE decks SET updated_at = datetime('now') WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
|
|
updated = conn.execute("SELECT * FROM deck_cards WHERE id = ?", (card_id,)).fetchone()
|
|
return dict(updated)
|
|
|
|
|
|
# ── 2.3 Deck Analysis ────────────────────────────────────────────
|
|
|
|
@app.get("/api/decks/{deck_id}/analysis")
|
|
async def deck_analysis(deck_id: int):
|
|
"""Analyze deck composition — type counts, mana curve, color pips, roles, targets, deltas."""
|
|
_get_deck_or_404(deck_id)
|
|
return _compute_deck_analysis(deck_id)
|
|
|
|
|
|
# ── 2.5 Recommendations from Collection ───────────────────────
|
|
|
|
@app.get("/api/decks/{deck_id}/recommended-from-collection")
|
|
async def recommend_from_collection(deck_id: int, max_results: int = 20, roles: Optional[str] = None):
|
|
"""
|
|
Recommend cards from the user's collection for a deck.
|
|
Finds shortfalls, then scores owned cards by how well they fit.
|
|
"""
|
|
deck = _get_deck_or_404(deck_id)
|
|
deck_color_identity = deck.get("color_identity", [])
|
|
conn = _get_db_conn()
|
|
|
|
# Run analysis to find shortfalls
|
|
analysis = _compute_deck_analysis(deck_id)
|
|
deltas = analysis["deltas"]
|
|
counts_by_type = analysis["counts_by_type"]
|
|
|
|
# Find types that are below their target midpoint (shortfall)
|
|
shortfall_types = set()
|
|
for t, delta in deltas.items():
|
|
lo, hi = _TYPE_TARGETS.get(t, [0, 0])
|
|
if counts_by_type.get(t, 0) < lo:
|
|
shortfall_types.add(t)
|
|
|
|
# Get scryfall_ids already in deck to exclude
|
|
in_deck_ids = set(
|
|
r["scryfall_id"] for r in
|
|
conn.execute("SELECT scryfall_id FROM deck_cards WHERE deck_id = ?", (deck_id,)).fetchall()
|
|
)
|
|
|
|
# Parse role filter
|
|
role_filter = [r.strip() for r in roles.split(",") if r.strip()] if roles else []
|
|
|
|
# Query collection for candidate cards
|
|
coll_rows = conn.execute(
|
|
"SELECT * FROM collection_entries WHERE quantity > 0"
|
|
).fetchall()
|
|
|
|
scored = []
|
|
for row in coll_rows:
|
|
card = _row_to_dict(row)
|
|
card_id = card.get("scryfall_id", "")
|
|
|
|
# Skip cards already in deck
|
|
if card_id in in_deck_ids:
|
|
continue
|
|
|
|
# Color identity check: all card colors must be in deck colors
|
|
card_ci = card.get("color_identity", [])
|
|
if isinstance(card_ci, str):
|
|
try:
|
|
card_ci = json.loads(card_ci)
|
|
except Exception:
|
|
card_ci = []
|
|
if deck_color_identity and card_ci:
|
|
if not all(c in deck_color_identity for c in card_ci):
|
|
continue
|
|
|
|
type_line = card.get("type_line", "")
|
|
oracle_text = card.get("oracle_text", "")
|
|
keywords = card.get("keywords", [])
|
|
card_type = _classify_card_type(type_line)
|
|
card_roles = _detect_card_roles(oracle_text, type_line, keywords)
|
|
|
|
# Role filter
|
|
if role_filter and not any(r in card_roles for r in role_filter):
|
|
continue
|
|
|
|
# Scoring
|
|
score = 0
|
|
# +3 if card type is in shortfall
|
|
if card_type in shortfall_types:
|
|
score += 3
|
|
# +2 per matching role
|
|
for r in card_roles:
|
|
if r in ("Ramp", "Draw", "Removal", "BoardWipe"):
|
|
score += 2
|
|
else:
|
|
score += 1
|
|
# +1 for lower CMC (curve fit)
|
|
cmc = float(card.get("cmc", 0))
|
|
if cmc <= 3:
|
|
score += 1
|
|
|
|
scored.append({
|
|
"id": card.get("id"),
|
|
"scryfall_id": card_id,
|
|
"name": card.get("name"),
|
|
"type_line": type_line,
|
|
"card_type": card_type,
|
|
"cmc": cmc,
|
|
"color_identity": card_ci,
|
|
"owned_qty": card.get("quantity", 0),
|
|
"roles": card_roles,
|
|
"score": score,
|
|
"image_url": f"https://api.scryfall.com/cards/{card_id}?format=image&version=normal" if card_id else None,
|
|
})
|
|
|
|
scored.sort(key=lambda x: x["score"], reverse=True)
|
|
|
|
# Group by type
|
|
grouped = {}
|
|
for card in scored[:max_results]:
|
|
ct = card["card_type"]
|
|
grouped.setdefault(ct, []).append(card)
|
|
|
|
return {
|
|
"shortfall_types": list(shortfall_types),
|
|
"role_filter": role_filter,
|
|
"grouped": grouped,
|
|
"total": len(scored[:max_results]),
|
|
}
|
|
|
|
|
|
# ── 2.6 EDHREC-style Recommendations ────────────────────────
|
|
|
|
@app.get("/api/decks/{deck_id}/edh-recs")
|
|
async def deck_edh_recs(deck_id: int, only_owned: bool = False, max_results: int = 30):
|
|
"""
|
|
Fetch EDHREC average deck recommendations for this deck's commander.
|
|
Cross-references with collection for owned status.
|
|
"""
|
|
deck = _get_deck_or_404(deck_id)
|
|
commander_name = deck.get("commander_name", "")
|
|
if not commander_name:
|
|
raise HTTPException(400, "Deck has no commander_name set. Update the deck first.")
|
|
|
|
# Cache check
|
|
cache_key = f"edhrec:avg:{_to_edhrec_slug(commander_name)}"
|
|
cached_profile = _edhrec_cache_get(cache_key)
|
|
if cached_profile is None:
|
|
try:
|
|
cached_profile = _fetch_edhrec_average(commander_name)
|
|
_edhrec_cache_set(cache_key, cached_profile)
|
|
except Exception as e:
|
|
raise HTTPException(502, f"Failed to fetch EDHREC data for '{commander_name}': {str(e)}")
|
|
|
|
edhrec_profile = cached_profile
|
|
mainboard = edhrec_profile.get("mainboard", {})
|
|
|
|
conn = _get_db_conn()
|
|
|
|
# Get cards already in deck
|
|
in_deck_names = set(
|
|
r["card_name"].lower() for r in
|
|
conn.execute("SELECT card_name FROM deck_cards WHERE deck_id = ?", (deck_id,)).fetchall()
|
|
)
|
|
|
|
# Build collection lookup: name (lower) -> {owned, qty, scryfall_id}
|
|
coll_rows = conn.execute(
|
|
"SELECT name, quantity, scryfall_id FROM collection_entries"
|
|
).fetchall()
|
|
coll_map = {}
|
|
for r in coll_rows:
|
|
key = r["name"].lower()
|
|
existing = coll_map.get(key)
|
|
if not existing or r["quantity"] > existing["qty"]:
|
|
coll_map[key] = {"owned": True, "qty": r["quantity"], "scryfall_id": r["scryfall_id"]}
|
|
|
|
# Also look up card details from collection_entries for type/role
|
|
coll_details = {}
|
|
for r in conn.execute("SELECT name, type_line, oracle_text, keywords, scryfall_id FROM collection_entries").fetchall():
|
|
key = r["name"].lower()
|
|
if key not in coll_details:
|
|
coll_details[key] = dict(r)
|
|
|
|
results = []
|
|
for card_name in mainboard:
|
|
name_lower = card_name.lower()
|
|
# Skip cards already in deck
|
|
if name_lower in in_deck_names:
|
|
continue
|
|
|
|
owned_info = coll_map.get(name_lower, {"owned": False, "qty": 0, "scryfall_id": ""})
|
|
|
|
if only_owned and not owned_info["owned"]:
|
|
continue
|
|
|
|
# Get type/role from collection if available
|
|
details = coll_details.get(name_lower, {})
|
|
type_line = details.get("type_line", "")
|
|
oracle_text = details.get("oracle_text", "")
|
|
keywords = details.get("keywords", "[]")
|
|
card_roles = _detect_card_roles(oracle_text, type_line, keywords)
|
|
scryfall_id = owned_info.get("scryfall_id") or details.get("scryfall_id", "")
|
|
|
|
results.append({
|
|
"name": card_name,
|
|
"type_line": type_line,
|
|
"role": card_roles[0] if card_roles else "Other",
|
|
"roles": card_roles,
|
|
"inclusion_pct": None, # EDHREC average doesn't expose % directly in this path
|
|
"synergy_score": None,
|
|
"owned": owned_info["owned"],
|
|
"owned_qty": owned_info["qty"],
|
|
"scryfall_id": scryfall_id,
|
|
"image_url": f"https://api.scryfall.com/cards/{scryfall_id}?format=image&version=normal" if scryfall_id else None,
|
|
})
|
|
|
|
return {
|
|
"commander": commander_name,
|
|
"source": "EDHREC Average",
|
|
"total": len(results[:max_results]),
|
|
"recommendations": results[:max_results],
|
|
}
|
|
|
|
|
|
# ── 2.7 Bulk Add Operations ────────────────────────────────
|
|
|
|
def _check_ratio_limit(deck_id: int, card_type: str, count_to_add: int = 1) -> bool:
|
|
"""
|
|
Return True if adding count_to_add cards of card_type stays within target max.
|
|
"""
|
|
analysis = _compute_deck_analysis(deck_id)
|
|
current = analysis["counts_by_type"].get(card_type, 0)
|
|
target_max = _TYPE_TARGETS.get(card_type, [0, 9999])[1]
|
|
return (current + count_to_add) <= target_max
|
|
|
|
|
|
@app.post("/api/decks/{deck_id}/bulk-add")
|
|
async def bulk_add_cards(deck_id: int, req: BulkAddRequest):
|
|
"""
|
|
Bulk-add cards to a deck by scryfall_id.
|
|
If respect_ratios, skips cards of a type when the target max is already reached.
|
|
"""
|
|
_get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
|
|
added = 0
|
|
skipped = 0
|
|
details = []
|
|
|
|
for card_entry in req.cards:
|
|
scryfall_id = str(card_entry.get("scryfall_id", "")).strip()
|
|
quantity = int(card_entry.get("quantity", 1))
|
|
if not scryfall_id:
|
|
skipped += 1
|
|
details.append({"scryfall_id": scryfall_id, "status": "skipped", "reason": "missing scryfall_id"})
|
|
continue
|
|
|
|
# Look up card name and type from collection
|
|
ce_row = conn.execute(
|
|
"SELECT name, type_line, oracle_text, keywords FROM collection_entries WHERE scryfall_id = ? LIMIT 1",
|
|
(scryfall_id,)
|
|
).fetchone()
|
|
card_name = ce_row["name"] if ce_row else ""
|
|
type_line = ce_row["type_line"] if ce_row else ""
|
|
card_type = _classify_card_type(type_line)
|
|
|
|
if req.respect_ratios and not _check_ratio_limit(deck_id, card_type, quantity):
|
|
skipped += 1
|
|
details.append({
|
|
"scryfall_id": scryfall_id,
|
|
"name": card_name,
|
|
"card_type": card_type,
|
|
"status": "skipped",
|
|
"reason": f"Type '{card_type}' at or above target max",
|
|
})
|
|
continue
|
|
|
|
# Upsert
|
|
existing = conn.execute(
|
|
"SELECT id, quantity FROM deck_cards WHERE deck_id = ? AND scryfall_id = ?",
|
|
(deck_id, scryfall_id)
|
|
).fetchone()
|
|
|
|
if existing:
|
|
conn.execute(
|
|
"UPDATE deck_cards SET quantity = ? WHERE id = ?",
|
|
(existing["quantity"] + quantity, existing["id"])
|
|
)
|
|
else:
|
|
conn.execute(
|
|
"INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity) VALUES (?, ?, ?, ?)",
|
|
(deck_id, scryfall_id, card_name, quantity)
|
|
)
|
|
conn.commit()
|
|
added += 1
|
|
details.append({"scryfall_id": scryfall_id, "name": card_name, "card_type": card_type, "status": "added", "quantity": quantity})
|
|
|
|
conn.execute("UPDATE decks SET updated_at = datetime('now') WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
|
|
analysis = _compute_deck_analysis(deck_id)
|
|
return {"added": added, "skipped": skipped, "details": details, "analysis": analysis}
|
|
|
|
|
|
@app.post("/api/decks/{deck_id}/bulk-add-recommended")
|
|
async def bulk_add_recommended(deck_id: int, req: BulkAddRecommendedRequest):
|
|
"""
|
|
Fetch recommendations from 'collection' or 'edhrec', filter, and bulk-add to deck.
|
|
"""
|
|
_get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
|
|
source = (req.source or "collection").lower()
|
|
type_filter = [t.strip() for t in req.types] if req.types else []
|
|
role_filter = [r.strip() for r in req.roles] if req.roles else []
|
|
|
|
candidates = []
|
|
|
|
if source == "collection":
|
|
# Reuse the recommend_from_collection logic
|
|
deck = _get_deck_or_404(deck_id)
|
|
deck_color_identity = deck.get("color_identity", [])
|
|
analysis = _compute_deck_analysis(deck_id)
|
|
counts_by_type = analysis["counts_by_type"]
|
|
shortfall_types = {t for t, (lo, _) in _TYPE_TARGETS.items() if counts_by_type.get(t, 0) < lo}
|
|
|
|
in_deck_ids = set(
|
|
r["scryfall_id"] for r in
|
|
conn.execute("SELECT scryfall_id FROM deck_cards WHERE deck_id = ?", (deck_id,)).fetchall()
|
|
)
|
|
coll_rows = conn.execute("SELECT * FROM collection_entries WHERE quantity > 0").fetchall()
|
|
for row in coll_rows:
|
|
card = _row_to_dict(row)
|
|
cid = card.get("scryfall_id", "")
|
|
if cid in in_deck_ids:
|
|
continue
|
|
card_ci = card.get("color_identity", [])
|
|
if isinstance(card_ci, str):
|
|
try:
|
|
card_ci = json.loads(card_ci)
|
|
except Exception:
|
|
card_ci = []
|
|
if deck_color_identity and card_ci:
|
|
if not all(c in deck_color_identity for c in card_ci):
|
|
continue
|
|
tl = card.get("type_line", "")
|
|
ct = _classify_card_type(tl)
|
|
card_roles = _detect_card_roles(card.get("oracle_text", ""), tl, card.get("keywords", []))
|
|
if type_filter and ct not in type_filter:
|
|
continue
|
|
if role_filter and not any(r in card_roles for r in role_filter):
|
|
continue
|
|
candidates.append({"scryfall_id": cid, "card_type": ct, "quantity": 1})
|
|
|
|
elif source == "edhrec":
|
|
deck = _get_deck_or_404(deck_id)
|
|
commander_name = deck.get("commander_name", "")
|
|
if not commander_name:
|
|
raise HTTPException(400, "Deck has no commander_name set")
|
|
try:
|
|
edhrec_profile = _fetch_edhrec_average(commander_name)
|
|
except Exception as e:
|
|
raise HTTPException(502, f"EDHREC fetch failed: {e}")
|
|
mainboard = edhrec_profile.get("mainboard", {})
|
|
in_deck_names = set(
|
|
r["card_name"].lower() for r in
|
|
conn.execute("SELECT card_name FROM deck_cards WHERE deck_id = ?", (deck_id,)).fetchall()
|
|
)
|
|
coll_rows = conn.execute("SELECT name, scryfall_id, type_line, oracle_text, keywords, quantity FROM collection_entries").fetchall()
|
|
coll_map = {r["name"].lower(): dict(r) for r in coll_rows}
|
|
|
|
for card_name in mainboard:
|
|
name_lower = card_name.lower()
|
|
if name_lower in in_deck_names:
|
|
continue
|
|
coll_info = coll_map.get(name_lower)
|
|
if req.only_owned and not coll_info:
|
|
continue
|
|
if not coll_info:
|
|
continue # can't add without scryfall_id
|
|
scryfall_id = coll_info.get("scryfall_id", "")
|
|
if not scryfall_id:
|
|
continue
|
|
tl = coll_info.get("type_line", "")
|
|
ct = _classify_card_type(tl)
|
|
card_roles = _detect_card_roles(coll_info.get("oracle_text", ""), tl, coll_info.get("keywords", []))
|
|
if type_filter and ct not in type_filter:
|
|
continue
|
|
if role_filter and not any(r in card_roles for r in role_filter):
|
|
continue
|
|
candidates.append({"scryfall_id": scryfall_id, "card_type": ct, "quantity": 1})
|
|
else:
|
|
raise HTTPException(400, f"Unknown source '{source}'. Use 'collection' or 'edhrec'.")
|
|
|
|
# Now bulk-add candidates
|
|
added = 0
|
|
skipped = 0
|
|
details = []
|
|
|
|
for c in candidates:
|
|
scryfall_id = c["scryfall_id"]
|
|
card_type = c["card_type"]
|
|
quantity = c["quantity"]
|
|
|
|
if req.respect_ratios and not _check_ratio_limit(deck_id, card_type, quantity):
|
|
skipped += 1
|
|
details.append({"scryfall_id": scryfall_id, "card_type": card_type, "status": "skipped", "reason": "ratio limit"})
|
|
continue
|
|
|
|
ce_row = conn.execute(
|
|
"SELECT name FROM collection_entries WHERE scryfall_id = ? LIMIT 1", (scryfall_id,)
|
|
).fetchone()
|
|
card_name = ce_row["name"] if ce_row else ""
|
|
|
|
existing = conn.execute(
|
|
"SELECT id, quantity FROM deck_cards WHERE deck_id = ? AND scryfall_id = ?",
|
|
(deck_id, scryfall_id)
|
|
).fetchone()
|
|
if existing:
|
|
conn.execute(
|
|
"UPDATE deck_cards SET quantity = ? WHERE id = ?",
|
|
(existing["quantity"] + quantity, existing["id"])
|
|
)
|
|
else:
|
|
conn.execute(
|
|
"INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity) VALUES (?, ?, ?, ?)",
|
|
(deck_id, scryfall_id, card_name, quantity)
|
|
)
|
|
conn.commit()
|
|
added += 1
|
|
details.append({"scryfall_id": scryfall_id, "name": card_name, "card_type": card_type, "status": "added"})
|
|
|
|
conn.execute("UPDATE decks SET updated_at = datetime('now') WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
|
|
analysis = _compute_deck_analysis(deck_id)
|
|
return {"added": added, "skipped": skipped, "details": details, "analysis": analysis}
|
|
|
|
|
|
# ── 2.9 Simulation Export ───────────────────────────────────
|
|
|
|
@app.post("/api/decks/{deck_id}/export-to-sim")
|
|
async def export_deck_to_sim(deck_id: int):
|
|
"""
|
|
Export a deck to Forge .dck format and save to the Forge decks directory.
|
|
Returns the deck name for use in simulations.
|
|
"""
|
|
deck = _get_deck_or_404(deck_id)
|
|
conn = _get_db_conn()
|
|
|
|
card_rows = conn.execute(
|
|
"SELECT card_name, quantity, is_commander FROM deck_cards WHERE deck_id = ? ORDER BY is_commander DESC, card_name ASC",
|
|
(deck_id,)
|
|
).fetchall()
|
|
|
|
if not card_rows:
|
|
raise HTTPException(400, "Deck has no cards to export")
|
|
|
|
# Build .dck content
|
|
lines = ["[metadata]"]
|
|
deck_name = deck.get("name", f"Deck {deck_id}")
|
|
lines.append(f"Name={deck_name}")
|
|
lines.append("")
|
|
|
|
commanders = [r for r in card_rows if r["is_commander"]]
|
|
mainboard = [r for r in card_rows if not r["is_commander"]]
|
|
|
|
lines.append("[Commander]")
|
|
for r in commanders:
|
|
name = r["card_name"] or "Unknown"
|
|
qty = r["quantity"] or 1
|
|
lines.append(f"{qty} {name}")
|
|
|
|
lines.append("")
|
|
lines.append("[Main]")
|
|
for r in mainboard:
|
|
name = r["card_name"] or "Unknown"
|
|
qty = r["quantity"] or 1
|
|
lines.append(f"{qty} {name}")
|
|
|
|
content = "\n".join(lines)
|
|
|
|
# Determine save directory
|
|
safe_name = re.sub(r"[^a-zA-Z0-9 _-]", "", deck_name).replace(" ", "_").strip()
|
|
if not safe_name:
|
|
safe_name = f"deck_{deck_id}"
|
|
|
|
save_dir = CFG.forge_decks_dir
|
|
if not save_dir or not os.path.isdir(save_dir):
|
|
save_dir = os.path.join(os.path.dirname(__file__), "exported-decks")
|
|
os.makedirs(save_dir, exist_ok=True)
|
|
|
|
out_path = Path(save_dir) / f"{safe_name}.dck"
|
|
out_path.write_text(content, encoding="utf-8")
|
|
print(f" [DeckBuilder] Exported deck {deck_id} to {out_path}")
|
|
|
|
return {
|
|
"success": True,
|
|
"deckName": safe_name,
|
|
"dckFile": str(out_path),
|
|
"totalCards": sum(r["quantity"] for r in card_rows),
|
|
"commanderCount": len(commanders),
|
|
"mainboardCount": len(mainboard),
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Deck Import Endpoint
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
|
|
def _parse_decklist_text(text: str) -> dict:
|
|
"""
|
|
Parse a decklist from text. Supports:
|
|
- Forge .dck format with [Commander], [Deck], [Main] sections
|
|
- MTGA format: 1 Card Name
|
|
- Plain: Card Name (assumed qty 1)
|
|
- Lines starting with // or # are comments
|
|
Returns { 'commanders': [{'name': str, 'qty': int}], 'cards': [{'name': str, 'qty': int}] }
|
|
"""
|
|
commanders = []
|
|
cards = []
|
|
section = 'main' # default section
|
|
|
|
for raw_line in text.splitlines():
|
|
line = raw_line.strip()
|
|
if not line or line.startswith('//') or line.startswith('#'):
|
|
continue
|
|
|
|
# Section headers
|
|
low = line.lower()
|
|
if low.startswith('[commander'):
|
|
section = 'commander'
|
|
continue
|
|
if low.startswith('[deck') or low.startswith('[main') or low.startswith('[mainboard'):
|
|
section = 'main'
|
|
continue
|
|
if low.startswith('[sideboard') or low.startswith('[side') or low.startswith('[metadata'):
|
|
section = 'skip'
|
|
continue
|
|
if low.startswith('['):
|
|
# Unknown section, treat as main
|
|
section = 'main'
|
|
continue
|
|
|
|
if section == 'skip':
|
|
continue
|
|
|
|
# Parse quantity + name
|
|
m = re.match(r'^(\d+)\s*[xX]?\s+(.+)$', line)
|
|
if m:
|
|
qty = int(m.group(1))
|
|
name = m.group(2).strip()
|
|
else:
|
|
qty = 1
|
|
name = line
|
|
|
|
# Strip set codes like "(M21)" or "(M21) 123" from MTGA exports
|
|
name = re.sub(r'\s*\([A-Z0-9]+\)\s*\d*\s*$', '', name).strip()
|
|
|
|
if not name:
|
|
continue
|
|
|
|
if section == 'commander':
|
|
commanders.append({'name': name, 'qty': qty})
|
|
else:
|
|
cards.append({'name': name, 'qty': qty})
|
|
|
|
return {'commanders': commanders, 'cards': cards}
|
|
|
|
|
|
@app.post('/api/decks/{deck_id}/import')
|
|
async def import_decklist(deck_id: int, request: FastAPIRequest):
|
|
"""
|
|
Import a decklist into an existing deck. Parses text, looks up each card
|
|
on Scryfall, and adds them to the deck.
|
|
|
|
Body: { "text": "1 Sol Ring\n1 Cultivate..." , "clearFirst": false }
|
|
"""
|
|
deck = _get_deck_or_404(deck_id)
|
|
body = await request.json()
|
|
text = body.get('text', '')
|
|
clear_first = body.get('clearFirst', False)
|
|
|
|
if not text.strip():
|
|
return JSONResponse({'error': 'No decklist text provided'}, status_code=400)
|
|
|
|
parsed = _parse_decklist_text(text)
|
|
all_entries = []
|
|
for c in parsed['commanders']:
|
|
all_entries.append({**c, 'is_commander': True})
|
|
for c in parsed['cards']:
|
|
all_entries.append({**c, 'is_commander': False})
|
|
|
|
if not all_entries:
|
|
return JSONResponse({'error': 'No cards found in decklist'}, status_code=400)
|
|
|
|
conn = _get_db_conn()
|
|
|
|
# Optionally clear existing cards
|
|
if clear_first:
|
|
conn.execute('DELETE FROM deck_cards WHERE deck_id = ?', (deck_id,))
|
|
conn.commit()
|
|
|
|
added = 0
|
|
failed = []
|
|
results = []
|
|
|
|
for entry in all_entries:
|
|
name = entry['name']
|
|
qty = entry['qty']
|
|
is_cmd = entry['is_commander']
|
|
|
|
# Look up on Scryfall
|
|
sf = _scryfall_fuzzy_lookup(name)
|
|
if not sf:
|
|
failed.append(name)
|
|
results.append({'name': name, 'status': 'not_found'})
|
|
continue
|
|
|
|
scryfall_id = sf.get('id', '')
|
|
resolved_name = sf.get('name', name)
|
|
|
|
# Check if already in deck
|
|
existing = conn.execute(
|
|
'SELECT id, quantity FROM deck_cards WHERE deck_id = ? AND scryfall_id = ?',
|
|
(deck_id, scryfall_id)
|
|
).fetchone()
|
|
|
|
if existing:
|
|
conn.execute(
|
|
'UPDATE deck_cards SET quantity = ?, is_commander = ? WHERE id = ?',
|
|
(existing['quantity'] + qty, 1 if is_cmd else existing.get('is_commander', 0), existing['id'])
|
|
)
|
|
else:
|
|
conn.execute(
|
|
'INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity, is_commander) VALUES (?, ?, ?, ?, ?)',
|
|
(deck_id, scryfall_id, resolved_name, qty, 1 if is_cmd else 0)
|
|
)
|
|
conn.commit()
|
|
added += 1
|
|
results.append({'name': resolved_name, 'qty': qty, 'status': 'added', 'isCommander': is_cmd})
|
|
|
|
conn.execute("UPDATE decks SET updated_at = datetime('now') WHERE id = ?", (deck_id,))
|
|
conn.commit()
|
|
|
|
return {
|
|
'added': added,
|
|
'failed': len(failed),
|
|
'failedNames': failed,
|
|
'total': len(all_entries),
|
|
'results': results,
|
|
}
|
|
|
|
|
|
@app.post('/api/decks/import-new')
|
|
async def import_decklist_new(request: FastAPIRequest):
|
|
"""
|
|
Import a decklist as a brand-new deck. Creates the deck, then imports cards.
|
|
|
|
Body: { "text": "...", "name": "My Deck" }
|
|
"""
|
|
body = await request.json()
|
|
text = body.get('text', '')
|
|
deck_name = body.get('name', '').strip()
|
|
|
|
if not text.strip():
|
|
return JSONResponse({'error': 'No decklist text provided'}, status_code=400)
|
|
|
|
parsed = _parse_decklist_text(text)
|
|
all_entries = []
|
|
for c in parsed['commanders']:
|
|
all_entries.append({**c, 'is_commander': True})
|
|
for c in parsed['cards']:
|
|
all_entries.append({**c, 'is_commander': False})
|
|
|
|
if not all_entries:
|
|
return JSONResponse({'error': 'No cards found in decklist'}, status_code=400)
|
|
|
|
# Auto-name from first commander if no name given
|
|
if not deck_name:
|
|
cmd = parsed['commanders'][0]['name'] if parsed['commanders'] else None
|
|
deck_name = cmd or 'Imported Deck'
|
|
|
|
conn = _get_db_conn()
|
|
cur = conn.execute(
|
|
"INSERT INTO decks (name, created_at, updated_at) VALUES (?, datetime('now'), datetime('now'))",
|
|
(deck_name,)
|
|
)
|
|
conn.commit()
|
|
new_deck_id = cur.lastrowid
|
|
|
|
# Set commander on the deck if we have one
|
|
first_cmd_scryfall = None
|
|
first_cmd_name = None
|
|
|
|
added = 0
|
|
failed = []
|
|
|
|
for entry in all_entries:
|
|
name = entry['name']
|
|
qty = entry['qty']
|
|
is_cmd = entry['is_commander']
|
|
|
|
sf = _scryfall_fuzzy_lookup(name)
|
|
if not sf:
|
|
failed.append(name)
|
|
continue
|
|
|
|
scryfall_id = sf.get('id', '')
|
|
resolved_name = sf.get('name', name)
|
|
|
|
if is_cmd and not first_cmd_scryfall:
|
|
first_cmd_scryfall = scryfall_id
|
|
first_cmd_name = resolved_name
|
|
|
|
conn.execute(
|
|
'INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity, is_commander) VALUES (?, ?, ?, ?, ?)',
|
|
(new_deck_id, scryfall_id, resolved_name, qty, 1 if is_cmd else 0)
|
|
)
|
|
conn.commit()
|
|
added += 1
|
|
|
|
# Update commander on deck record
|
|
if first_cmd_scryfall:
|
|
conn.execute(
|
|
'UPDATE decks SET commander = ?, commander_scryfall_id = ? WHERE id = ?',
|
|
(first_cmd_name, first_cmd_scryfall, new_deck_id)
|
|
)
|
|
conn.commit()
|
|
|
|
return {
|
|
'deckId': new_deck_id,
|
|
'deckName': deck_name,
|
|
'added': added,
|
|
'failed': len(failed),
|
|
'failedNames': failed,
|
|
'total': len(all_entries),
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Card Scanner Endpoint
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
def _scryfall_fuzzy_lookup(name: str) -> Optional[dict]:
|
|
"""
|
|
Fuzzy-search Scryfall for a card name (used by the scanner pipeline).
|
|
Returns the raw Scryfall JSON dict, or None on failure.
|
|
"""
|
|
from urllib.parse import quote
|
|
_scryfall_rate_limit()
|
|
try:
|
|
encoded = quote(name)
|
|
url = f"https://api.scryfall.com/cards/named?fuzzy={encoded}"
|
|
req = Request(url, headers=_API_HEADERS)
|
|
with urlopen(req, timeout=10) as resp:
|
|
data = json.loads(resp.read().decode("utf-8"))
|
|
if data.get("object") == "error":
|
|
return None
|
|
return data
|
|
except Exception:
|
|
return None
|
|
|
|
|
|
@app.post("/api/collection/scan")
|
|
async def scan_card_image(request: FastAPIRequest):
|
|
"""
|
|
Scan a card image and return recognized card name(s).
|
|
|
|
Uses Ximilar Visual AI for card recognition.
|
|
|
|
Accepts multipart/form-data with:
|
|
- file: image file (JPEG/PNG)
|
|
- mode: "single" (default) or "multi"
|
|
|
|
Returns:
|
|
{ "results": [ { raw_ocr, matched_name, set_code, scryfall_id, confidence, image_uri, error, collector_number, rarity, tcgplayer_url }, ... ] }
|
|
"""
|
|
try:
|
|
from scanner.pipeline import scan_single, scan_multi
|
|
except ImportError as e:
|
|
raise HTTPException(500, f"Scanner module not available: {e}")
|
|
|
|
# Try CFG first, then fall back to env var
|
|
api_key = CFG.ximilar_api_key or os.environ.get("XIMILAR_API_KEY", "")
|
|
if not api_key:
|
|
raise HTTPException(500, "Card scanner not configured. Start the server with --ximilar-key YOUR_KEY or set XIMILAR_API_KEY env var.")
|
|
|
|
# Parse multipart form
|
|
form = await request.form()
|
|
upload = form.get("file")
|
|
if upload is None:
|
|
raise HTTPException(400, "No file uploaded. Send an image as 'file' in multipart/form-data.")
|
|
|
|
mode = str(form.get("mode", "single")).lower()
|
|
image_bytes = await upload.read()
|
|
|
|
if len(image_bytes) == 0:
|
|
raise HTTPException(400, "Uploaded file is empty")
|
|
|
|
# Limit file size (20 MB)
|
|
if len(image_bytes) > 20 * 1024 * 1024:
|
|
raise HTTPException(400, "Image file too large (max 20 MB)")
|
|
|
|
print(f" [SCAN] Processing {len(image_bytes)} bytes, mode={mode} (Ximilar AI)")
|
|
|
|
if mode == "multi":
|
|
results = scan_multi(image_bytes, _scryfall_fuzzy_lookup, ximilar_api_key=api_key)
|
|
else:
|
|
result = scan_single(image_bytes, _scryfall_fuzzy_lookup, ximilar_api_key=api_key)
|
|
results = [result]
|
|
|
|
return {
|
|
"results": [r.to_dict() for r in results]
|
|
}
|
|
|
|
|
|
@app.post("/api/collection/scan/add")
|
|
async def scan_add_cards(body: dict):
|
|
"""
|
|
Add scanned cards to the collection.
|
|
|
|
Body:
|
|
{
|
|
"cards": [
|
|
{ "name": "Lightning Bolt", "set_code": "m11", "quantity": 1 },
|
|
...
|
|
]
|
|
}
|
|
"""
|
|
cards = body.get("cards", [])
|
|
if not cards:
|
|
raise HTTPException(400, "No cards provided")
|
|
|
|
conn = _get_db_conn()
|
|
imported = 0
|
|
updated = 0
|
|
errors = []
|
|
|
|
for card_req in cards:
|
|
name = str(card_req.get("name", "")).strip()
|
|
if not name:
|
|
continue
|
|
|
|
quantity = int(card_req.get("quantity", 1))
|
|
set_code = str(card_req.get("set_code", "")).lower()
|
|
collector_number = str(card_req.get("collector_number", ""))
|
|
finish = "NORMAL"
|
|
|
|
try:
|
|
enriched = _enrich_from_scryfall(name, set_code, collector_number)
|
|
except Exception as e:
|
|
errors.append(f"Scryfall error for '{name}': {e}")
|
|
continue
|
|
|
|
if not enriched or "_error" in enriched:
|
|
err_msg = enriched.get("_error", f"Not found: '{name}'") if enriched else f"Not found: '{name}'"
|
|
errors.append(err_msg)
|
|
continue
|
|
|
|
resolved_name = enriched.get("name", name)
|
|
|
|
# Check for existing entry
|
|
existing = conn.execute(
|
|
"""SELECT id, quantity FROM collection_entries
|
|
WHERE name = ? AND set_code = ? AND collector_number = ? AND finish = ?""",
|
|
(resolved_name, set_code, collector_number, finish),
|
|
).fetchone()
|
|
|
|
if existing:
|
|
new_qty = existing["quantity"] + quantity
|
|
conn.execute(
|
|
"UPDATE collection_entries SET quantity = ?, updated_at = datetime('now') WHERE id = ?",
|
|
(new_qty, existing["id"]),
|
|
)
|
|
conn.commit()
|
|
updated += 1
|
|
else:
|
|
conn.execute(
|
|
"""INSERT INTO collection_entries
|
|
(name, type_line, subtypes, is_legendary, is_basic, color_identity,
|
|
cmc, mana_cost, oracle_text, keywords,
|
|
power, toughness, rarity, set_name, edhrec_rank,
|
|
tcg_price, salt_score, is_game_changer,
|
|
category, scryfall_id, tcgplayer_id,
|
|
quantity, finish, condition, language, notes, tags,
|
|
set_code, collector_number)
|
|
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
|
|
(
|
|
resolved_name,
|
|
enriched.get("type_line", ""),
|
|
enriched.get("subtypes", "[]"),
|
|
enriched.get("is_legendary", 0),
|
|
enriched.get("is_basic", 0),
|
|
enriched.get("color_identity", "[]"),
|
|
enriched.get("cmc", 0.0),
|
|
enriched.get("mana_cost", ""),
|
|
enriched.get("oracle_text", ""),
|
|
enriched.get("keywords", "[]"),
|
|
enriched.get("power", ""),
|
|
enriched.get("toughness", ""),
|
|
enriched.get("rarity", ""),
|
|
enriched.get("set_name", ""),
|
|
enriched.get("edhrec_rank", 0),
|
|
enriched.get("tcg_price", 0.0),
|
|
enriched.get("salt_score", 0.0),
|
|
enriched.get("is_game_changer", 0),
|
|
enriched.get("category", "[]"),
|
|
enriched.get("scryfall_id", ""),
|
|
enriched.get("tcgplayer_id", ""),
|
|
quantity,
|
|
finish,
|
|
"", # condition
|
|
"", # language
|
|
"", # notes
|
|
"", # tags
|
|
set_code,
|
|
collector_number,
|
|
),
|
|
)
|
|
conn.commit()
|
|
imported += 1
|
|
|
|
return {
|
|
"importedCount": imported,
|
|
"updatedCount": updated,
|
|
"failedCount": len(errors),
|
|
"errors": errors,
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Re-enrich Collection from Scryfall
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
@app.post("/api/collection/re-enrich")
|
|
async def re_enrich_collection():
|
|
"""
|
|
Re-fetch Scryfall data for all collection entries to backfill
|
|
missing fields (mana_cost, power, toughness, rarity, set_name, edhrec_rank).
|
|
Also refreshes: type_line, oracle_text, keywords, cmc, color_identity, prices.
|
|
Runs synchronously — may take a while for large collections.
|
|
"""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"SELECT id, name, set_code, collector_number FROM collection_entries ORDER BY id"
|
|
).fetchall()
|
|
|
|
total = len(rows)
|
|
enriched_count = 0
|
|
skipped_count = 0
|
|
errors = []
|
|
|
|
for row in rows:
|
|
card_id = row["id"]
|
|
name = row["name"]
|
|
set_code = row["set_code"] or ""
|
|
collector_number = row["collector_number"] or ""
|
|
|
|
try:
|
|
data = _enrich_from_scryfall(name, set_code, collector_number)
|
|
except Exception as e:
|
|
errors.append(f"Error for '{name}': {e}")
|
|
skipped_count += 1
|
|
continue
|
|
|
|
if not data or "_error" in data:
|
|
err_msg = data.get("_error", f"Not found: '{name}'") if data else f"Not found: '{name}'"
|
|
errors.append(err_msg)
|
|
skipped_count += 1
|
|
continue
|
|
|
|
conn.execute(
|
|
"""UPDATE collection_entries SET
|
|
type_line = ?, subtypes = ?, is_legendary = ?, is_basic = ?,
|
|
color_identity = ?, cmc = ?, mana_cost = ?,
|
|
oracle_text = ?, keywords = ?,
|
|
power = ?, toughness = ?,
|
|
rarity = ?, set_name = ?, edhrec_rank = ?,
|
|
tcg_price = ?, scryfall_id = ?, tcgplayer_id = ?,
|
|
category = ?,
|
|
updated_at = datetime('now')
|
|
WHERE id = ?""",
|
|
(
|
|
data.get("type_line", ""),
|
|
data.get("subtypes", "[]"),
|
|
data.get("is_legendary", 0),
|
|
data.get("is_basic", 0),
|
|
data.get("color_identity", "[]"),
|
|
data.get("cmc", 0.0),
|
|
data.get("mana_cost", ""),
|
|
data.get("oracle_text", ""),
|
|
data.get("keywords", "[]"),
|
|
data.get("power", ""),
|
|
data.get("toughness", ""),
|
|
data.get("rarity", ""),
|
|
data.get("set_name", ""),
|
|
data.get("edhrec_rank", 0),
|
|
data.get("tcg_price", 0.0),
|
|
data.get("scryfall_id", ""),
|
|
data.get("tcgplayer_id", ""),
|
|
data.get("category", "[]"),
|
|
card_id,
|
|
),
|
|
)
|
|
conn.commit()
|
|
enriched_count += 1
|
|
|
|
return {
|
|
"total": total,
|
|
"enrichedCount": enriched_count,
|
|
"skippedCount": skipped_count,
|
|
"errors": errors[:50], # cap error list
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Auto-Classify Collection
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
@app.post("/api/collection/auto-classify")
|
|
async def auto_classify_collection():
|
|
"""
|
|
Run auto-classification on all collection entries.
|
|
Uses oracle_text, type_line, and keywords to detect functional roles
|
|
(Ramp, Draw, Removal, Board Wipe, Anthem, Stax, etc.).
|
|
Only updates cards whose current category is empty or '[]'.
|
|
"""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"SELECT id, oracle_text, type_line, keywords, category FROM collection_entries ORDER BY id"
|
|
).fetchall()
|
|
|
|
total = len(rows)
|
|
classified_count = 0
|
|
skipped_count = 0
|
|
|
|
for row in rows:
|
|
card_id = row["id"]
|
|
existing_cats = row["category"] or "[]"
|
|
|
|
# Parse existing categories
|
|
try:
|
|
cats = json.loads(existing_cats)
|
|
except Exception:
|
|
cats = []
|
|
|
|
# Skip cards that already have manually-set categories
|
|
if cats:
|
|
skipped_count += 1
|
|
continue
|
|
|
|
oracle_text = row["oracle_text"] or ""
|
|
type_line = row["type_line"] or ""
|
|
keywords = row["keywords"] or "[]"
|
|
|
|
roles = _detect_card_roles(oracle_text, type_line, keywords)
|
|
|
|
if roles:
|
|
conn.execute(
|
|
"UPDATE collection_entries SET category = ?, updated_at = datetime('now') WHERE id = ?",
|
|
(json.dumps(roles), card_id),
|
|
)
|
|
classified_count += 1
|
|
|
|
conn.commit()
|
|
|
|
return {
|
|
"total": total,
|
|
"classifiedCount": classified_count,
|
|
"skippedCount": skipped_count,
|
|
"message": f"Classified {classified_count} cards, skipped {skipped_count} (already had categories)",
|
|
}
|
|
|
|
|
|
@app.post("/api/collection/auto-classify-all")
|
|
async def auto_classify_all_collection():
|
|
"""
|
|
Force re-classify ALL collection entries, overwriting existing categories.
|
|
"""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"SELECT id, oracle_text, type_line, keywords FROM collection_entries ORDER BY id"
|
|
).fetchall()
|
|
|
|
total = len(rows)
|
|
classified_count = 0
|
|
|
|
for row in rows:
|
|
card_id = row["id"]
|
|
oracle_text = row["oracle_text"] or ""
|
|
type_line = row["type_line"] or ""
|
|
keywords = row["keywords"] or "[]"
|
|
|
|
roles = _detect_card_roles(oracle_text, type_line, keywords)
|
|
conn.execute(
|
|
"UPDATE collection_entries SET category = ?, updated_at = datetime('now') WHERE id = ?",
|
|
(json.dumps(roles), card_id),
|
|
)
|
|
classified_count += 1
|
|
|
|
conn.commit()
|
|
|
|
return {
|
|
"total": total,
|
|
"classifiedCount": classified_count,
|
|
"message": f"Re-classified all {classified_count} cards",
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# EDHREC Recommendations Cache + Endpoint
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# Simple in-memory cache: {cache_key: {"data": ..., "expires": float}}
|
|
_edhrec_cache: dict = {}
|
|
_EDHREC_TTL = 3600 # 1 hour
|
|
|
|
|
|
def _edhrec_cache_get(key: str):
|
|
entry = _edhrec_cache.get(key)
|
|
if entry and time.monotonic() < entry["expires"]:
|
|
return entry["data"]
|
|
return None
|
|
|
|
|
|
def _edhrec_cache_set(key: str, data):
|
|
_edhrec_cache[key] = {"data": data, "expires": time.monotonic() + _EDHREC_TTL}
|
|
|
|
|
|
@app.get("/api/collection/{cardId}/edhrec")
|
|
async def get_card_edhrec(cardId: int):
|
|
"""
|
|
Get EDHREC recommendations for a collection card.
|
|
For legendary creatures (potential commanders): fetch commander synergy data.
|
|
For other cards: fetch 'also played with' data.
|
|
"""
|
|
conn = _get_db_conn()
|
|
row = conn.execute("SELECT * FROM collection_entries WHERE id = ?", (cardId,)).fetchone()
|
|
if not row:
|
|
raise HTTPException(404, f"Card with id {cardId} not found")
|
|
|
|
card = _row_to_dict(row)
|
|
name = card["name"]
|
|
type_line = card.get("type_line", "")
|
|
is_legendary = card.get("is_legendary", 0)
|
|
|
|
# Determine if it's a legendary creature (potential commander)
|
|
is_commander = bool(
|
|
is_legendary and
|
|
re.search(r"\bCreature\b", type_line, re.IGNORECASE)
|
|
)
|
|
|
|
slug = _to_edhrec_slug(name)
|
|
cache_key = f"edhrec:{'cmd' if is_commander else 'card'}:{slug}"
|
|
|
|
cached = _edhrec_cache_get(cache_key)
|
|
if cached:
|
|
return cached
|
|
|
|
recommendations = []
|
|
links = {
|
|
"edhrecPage": (
|
|
f"https://edhrec.com/commanders/{slug}"
|
|
if is_commander
|
|
else f"https://edhrec.com/cards/{slug}"
|
|
),
|
|
"archidektSearch": f"https://archidekt.com/search/cards?q={name.replace(' ', '+')}",
|
|
"moxfieldSearch": f"https://www.moxfield.com/search?q={name.replace(' ', '+')}",
|
|
}
|
|
|
|
try:
|
|
if is_commander:
|
|
url = f"https://json.edhrec.com/pages/commanders/{slug}.json"
|
|
else:
|
|
url = f"https://json.edhrec.com/pages/cards/{slug}.json"
|
|
|
|
req = Request(url, headers=_API_HEADERS)
|
|
with urlopen(req, timeout=10) as resp:
|
|
data = json.loads(resp.read().decode("utf-8"))
|
|
|
|
if is_commander:
|
|
# Extract top cards from cardlists
|
|
container = data.get("container", {})
|
|
json_dict = container.get("json_dict", {})
|
|
for cardlist in json_dict.get("cardlists", []):
|
|
tag = cardlist.get("tag", "")
|
|
for cv in cardlist.get("cardviews", [])[:10]:
|
|
rec_name = cv.get("name", "")
|
|
if not rec_name:
|
|
continue
|
|
synergy = cv.get("synergy", 0.0)
|
|
recommendations.append({
|
|
"name": rec_name,
|
|
"synergy": synergy,
|
|
"role": tag or "Recommended",
|
|
})
|
|
else:
|
|
# Extract "also played with" cards
|
|
container = data.get("container", {})
|
|
json_dict = container.get("json_dict", {})
|
|
for cardlist in json_dict.get("cardlists", []):
|
|
tag = cardlist.get("tag", "")
|
|
for cv in cardlist.get("cardviews", [])[:10]:
|
|
rec_name = cv.get("name", "")
|
|
if not rec_name:
|
|
continue
|
|
synergy = cv.get("synergy", 0.0)
|
|
recommendations.append({
|
|
"name": rec_name,
|
|
"synergy": synergy,
|
|
"role": tag or "Also Played With",
|
|
})
|
|
|
|
except Exception as e:
|
|
print(f" [EDHREC] Error fetching data for '{name}': {e}")
|
|
# Graceful degradation — return empty results
|
|
|
|
result = {
|
|
"recommendations": recommendations[:30],
|
|
"links": links,
|
|
}
|
|
_edhrec_cache_set(cache_key, result)
|
|
return result
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Commander Meta Mapping (loaded at startup)
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
BUILTIN_COMMANDERS = {
|
|
"Edgar Markov": [{"source": "edhrec", "archetype": "aggro", "colorIdentity": ["W","B","R"]}],
|
|
"Atraxa, Praetors' Voice": [{"source": "edhrec", "archetype": "midrange", "colorIdentity": ["W","U","B","G"]}],
|
|
"Korvold, Fae-Cursed King": [{"source": "edhrec", "archetype": "combo", "colorIdentity": ["B","R","G"]}],
|
|
"Muldrotha, the Gravetide": [{"source": "edhrec", "archetype": "midrange", "colorIdentity": ["U","B","G"]}],
|
|
"The Ur-Dragon": [{"source": "edhrec", "archetype": "midrange", "colorIdentity": ["W","U","B","R","G"]}],
|
|
"Yuriko, the Tiger's Shadow": [{"source": "edhrec", "archetype": "aggro", "colorIdentity": ["U","B"]}],
|
|
"Krenko, Mob Boss": [{"source": "edhrec", "archetype": "aggro", "colorIdentity": ["R"]}],
|
|
"Meren of Clan Nel Toth": [{"source": "edhrec", "archetype": "midrange", "colorIdentity": ["B","G"]}],
|
|
"Prossh, Skyraider of Kher": [{"source": "edhrec", "archetype": "combo", "colorIdentity": ["B","R","G"]}],
|
|
"Kaalia of the Vast": [{"source": "edhrec", "archetype": "aggro", "colorIdentity": ["W","B","R"]}],
|
|
"Talrand, Sky Summoner": [{"source": "edhrec", "archetype": "control", "colorIdentity": ["U"]}],
|
|
"Omnath, Locus of Creation": [{"source": "edhrec", "archetype": "combo", "colorIdentity": ["W","U","R","G"]}],
|
|
"Teysa Karlov": [{"source": "edhrec", "archetype": "combo", "colorIdentity": ["W","B"]}],
|
|
"Lathril, Blade of the Elves": [{"source": "edhrec", "archetype": "aggro", "colorIdentity": ["B","G"]}],
|
|
"Breya, Etherium Shaper": [{"source": "edhrec", "archetype": "combo", "colorIdentity": ["W","U","B","R"]}],
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Python Simulator API
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
import threading as _threading
|
|
import uuid as _uuid
|
|
|
|
# In-memory store for simulation runs
|
|
_sim_runs = {} # sim_id -> { status, result, error }
|
|
_sim_lock = _threading.Lock()
|
|
|
|
|
|
def _run_sim_thread(sim_id: str, decklist: list, num_games: int, deck_name: str, record_logs: bool):
|
|
"""Background thread for running Monte Carlo simulations."""
|
|
try:
|
|
import sys, os
|
|
# Add src/ to path if needed for the simulator package
|
|
src_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), 'src')
|
|
if src_dir not in sys.path:
|
|
sys.path.insert(0, src_dir)
|
|
|
|
from commander_ai_lab.sim.models import Card
|
|
from commander_ai_lab.sim.engine import GameEngine
|
|
from commander_ai_lab.sim.rules import enrich_card, parse_decklist
|
|
from commander_ai_lab.lab.experiments import build_deck, _generate_training_deck
|
|
|
|
with _sim_lock:
|
|
_sim_runs[sim_id]['status'] = 'running'
|
|
|
|
deck_a = build_deck(decklist)
|
|
deck_b = _generate_training_deck()
|
|
|
|
engine = GameEngine(max_turns=25, record_log=record_logs)
|
|
import time
|
|
start = time.time()
|
|
|
|
wins = 0
|
|
losses = 0
|
|
total_turns = 0
|
|
total_damage_dealt = 0
|
|
total_damage_received = 0
|
|
total_spells_cast = 0
|
|
total_creatures_played = 0
|
|
total_removal_used = 0
|
|
total_ramp_played = 0
|
|
total_cards_drawn = 0
|
|
total_max_board = 0
|
|
game_results = []
|
|
|
|
for i in range(num_games):
|
|
result = engine.run(deck_a, deck_b, name_a=deck_name, name_b="Training Deck")
|
|
|
|
game_data = result.to_dict()
|
|
game_data['gameNumber'] = i + 1
|
|
game_results.append(game_data)
|
|
|
|
if result.winner == 0:
|
|
wins += 1
|
|
else:
|
|
losses += 1
|
|
|
|
total_turns += result.turns
|
|
if result.player_a_stats:
|
|
total_damage_dealt += result.player_a_stats.damage_dealt
|
|
total_damage_received += result.player_a_stats.damage_received
|
|
total_spells_cast += result.player_a_stats.spells_cast
|
|
total_creatures_played += result.player_a_stats.creatures_played
|
|
total_removal_used += result.player_a_stats.removal_used
|
|
total_ramp_played += result.player_a_stats.ramp_played
|
|
total_cards_drawn += result.player_a_stats.cards_drawn
|
|
total_max_board += result.player_a_stats.max_board_size
|
|
|
|
# Update progress
|
|
with _sim_lock:
|
|
_sim_runs[sim_id]['completed'] = i + 1
|
|
|
|
elapsed = time.time() - start
|
|
n = num_games
|
|
|
|
summary = {
|
|
'deckName': deck_name,
|
|
'opponentName': 'Training Deck',
|
|
'totalGames': n,
|
|
'wins': wins,
|
|
'losses': losses,
|
|
'winRate': round(wins / n * 100, 1) if n > 0 else 0.0,
|
|
'avgTurns': round(total_turns / n, 1) if n > 0 else 0.0,
|
|
'avgDamageDealt': round(total_damage_dealt / n, 1) if n > 0 else 0.0,
|
|
'avgDamageReceived': round(total_damage_received / n, 1) if n > 0 else 0.0,
|
|
'avgSpellsCast': round(total_spells_cast / n, 1) if n > 0 else 0.0,
|
|
'avgCreaturesPlayed': round(total_creatures_played / n, 1) if n > 0 else 0.0,
|
|
'avgRemovalUsed': round(total_removal_used / n, 1) if n > 0 else 0.0,
|
|
'avgRampPlayed': round(total_ramp_played / n, 1) if n > 0 else 0.0,
|
|
'avgCardsDrawn': round(total_cards_drawn / n, 1) if n > 0 else 0.0,
|
|
'avgMaxBoardSize': round(total_max_board / n, 1) if n > 0 else 0.0,
|
|
'elapsedSeconds': round(elapsed, 3),
|
|
}
|
|
|
|
with _sim_lock:
|
|
_sim_runs[sim_id]['status'] = 'complete'
|
|
_sim_runs[sim_id]['result'] = {
|
|
'summary': summary,
|
|
'games': game_results,
|
|
}
|
|
except Exception as e:
|
|
import traceback
|
|
with _sim_lock:
|
|
_sim_runs[sim_id]['status'] = 'error'
|
|
_sim_runs[sim_id]['error'] = str(e)
|
|
traceback.print_exc()
|
|
|
|
|
|
@app.post('/api/sim/run')
|
|
async def sim_run(request: FastAPIRequest):
|
|
"""Start a Monte Carlo simulation with the Python engine."""
|
|
body = await request.json()
|
|
decklist = body.get('decklist', [])
|
|
num_games = body.get('numGames', 10)
|
|
deck_name = body.get('deckName', 'My Deck')
|
|
record_logs = body.get('recordLogs', True)
|
|
|
|
if not decklist:
|
|
return JSONResponse({'error': 'decklist is required'}, status_code=400)
|
|
if num_games < 1 or num_games > 1000:
|
|
return JSONResponse({'error': 'numGames must be 1-1000'}, status_code=400)
|
|
|
|
sim_id = str(_uuid.uuid4())[:8]
|
|
with _sim_lock:
|
|
_sim_runs[sim_id] = {
|
|
'status': 'queued',
|
|
'completed': 0,
|
|
'total': num_games,
|
|
'deckName': deck_name,
|
|
'result': None,
|
|
'error': None,
|
|
}
|
|
|
|
t = _threading.Thread(target=_run_sim_thread, args=(sim_id, decklist, num_games, deck_name, record_logs), daemon=True)
|
|
t.start()
|
|
|
|
return JSONResponse({'simId': sim_id, 'status': 'queued', 'total': num_games})
|
|
|
|
|
|
@app.get('/api/sim/status')
|
|
async def sim_status(simId: str):
|
|
"""Poll simulation progress."""
|
|
with _sim_lock:
|
|
run = _sim_runs.get(simId)
|
|
if not run:
|
|
return JSONResponse({'error': 'sim not found'}, status_code=404)
|
|
return JSONResponse({
|
|
'simId': simId,
|
|
'status': run['status'],
|
|
'completed': run['completed'],
|
|
'total': run['total'],
|
|
'deckName': run.get('deckName', ''),
|
|
'error': run.get('error'),
|
|
})
|
|
|
|
|
|
@app.get('/api/sim/result')
|
|
async def sim_result(simId: str):
|
|
"""Get completed simulation results."""
|
|
with _sim_lock:
|
|
run = _sim_runs.get(simId)
|
|
if not run:
|
|
return JSONResponse({'error': 'sim not found'}, status_code=404)
|
|
if run['status'] != 'complete':
|
|
return JSONResponse({'error': 'sim not complete', 'status': run['status']}, status_code=400)
|
|
return JSONResponse(run['result'])
|
|
|
|
|
|
@app.post('/api/sim/run-from-deck')
|
|
async def sim_run_from_deck(request: FastAPIRequest):
|
|
"""Start simulation using a deck from the Deck Builder (by deck ID)."""
|
|
body = await request.json()
|
|
deck_id = body.get('deckId')
|
|
num_games = body.get('numGames', 10)
|
|
record_logs = body.get('recordLogs', True)
|
|
|
|
if not deck_id:
|
|
return JSONResponse({'error': 'deckId required'}, status_code=400)
|
|
|
|
conn = _get_db_conn()
|
|
cur = conn.cursor()
|
|
cur.execute('SELECT name FROM decks WHERE id = ?', (deck_id,))
|
|
row = cur.fetchone()
|
|
if not row:
|
|
return JSONResponse({'error': 'deck not found'}, status_code=404)
|
|
deck_name = row[0]
|
|
|
|
cur.execute('SELECT card_name, quantity FROM deck_cards WHERE deck_id = ?', (deck_id,))
|
|
cards = []
|
|
for r in cur.fetchall():
|
|
cards.extend([r[0]] * (r[1] or 1))
|
|
if not cards:
|
|
return JSONResponse({'error': 'deck has no cards'}, status_code=400)
|
|
|
|
sim_id = str(_uuid.uuid4())[:8]
|
|
with _sim_lock:
|
|
_sim_runs[sim_id] = {
|
|
'status': 'queued',
|
|
'completed': 0,
|
|
'total': num_games,
|
|
'deckName': deck_name,
|
|
'result': None,
|
|
'error': None,
|
|
}
|
|
|
|
t = _threading.Thread(target=_run_sim_thread, args=(sim_id, cards, num_games, deck_name, record_logs), daemon=True)
|
|
t.start()
|
|
|
|
return JSONResponse({'simId': sim_id, 'status': 'queued', 'total': num_games, 'deckName': deck_name})
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Auto Deck Generator
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
|
|
def _resolve_commander(req: DeckGenerationRequest) -> dict:
|
|
"""
|
|
Resolve commander info from a DeckGenerationRequest.
|
|
Returns dict with: name, scryfall_id, color_identity, type_line, mana_cost, image_url
|
|
"""
|
|
conn = _get_db_conn()
|
|
|
|
# Try scryfall_id first
|
|
if req.commander_scryfall_id:
|
|
row = conn.execute(
|
|
"SELECT name, type_line, color_identity, mana_cost, scryfall_id FROM collection_entries WHERE scryfall_id = ? LIMIT 1",
|
|
(req.commander_scryfall_id,)
|
|
).fetchone()
|
|
if row:
|
|
ci = row["color_identity"]
|
|
if isinstance(ci, str):
|
|
try:
|
|
ci = json.loads(ci)
|
|
except Exception:
|
|
ci = []
|
|
return {
|
|
"name": row["name"],
|
|
"scryfall_id": row["scryfall_id"],
|
|
"color_identity": ci,
|
|
"type_line": row["type_line"],
|
|
"mana_cost": row["mana_cost"] or "",
|
|
"image_url": f"https://api.scryfall.com/cards/{row['scryfall_id']}?format=image&version=normal",
|
|
}
|
|
# Fallback to Scryfall API
|
|
_scryfall_rate_limit()
|
|
try:
|
|
url = f"https://api.scryfall.com/cards/{req.commander_scryfall_id}"
|
|
rq = Request(url, headers={"User-Agent": "CommanderAILab/1.0", "Accept": "application/json"})
|
|
with urlopen(rq, timeout=15) as resp:
|
|
data = json.loads(resp.read().decode("utf-8"))
|
|
return _scryfall_to_commander(data)
|
|
except Exception:
|
|
pass
|
|
|
|
# Try name search
|
|
if req.commander_name:
|
|
name_lower = req.commander_name.strip().lower()
|
|
row = conn.execute(
|
|
"SELECT name, type_line, color_identity, mana_cost, scryfall_id FROM collection_entries WHERE LOWER(name) = ? LIMIT 1",
|
|
(name_lower,)
|
|
).fetchone()
|
|
if row:
|
|
ci = row["color_identity"]
|
|
if isinstance(ci, str):
|
|
try:
|
|
ci = json.loads(ci)
|
|
except Exception:
|
|
ci = []
|
|
return {
|
|
"name": row["name"],
|
|
"scryfall_id": row["scryfall_id"],
|
|
"color_identity": ci,
|
|
"type_line": row["type_line"],
|
|
"mana_cost": row["mana_cost"] or "",
|
|
"image_url": f"https://api.scryfall.com/cards/{row['scryfall_id']}?format=image&version=normal",
|
|
}
|
|
|
|
# Fallback to Scryfall fuzzy search
|
|
_scryfall_rate_limit()
|
|
try:
|
|
import urllib.parse
|
|
encoded = urllib.parse.quote(req.commander_name)
|
|
url = f"https://api.scryfall.com/cards/named?fuzzy={encoded}"
|
|
rq = Request(url, headers={"User-Agent": "CommanderAILab/1.0", "Accept": "application/json"})
|
|
with urlopen(rq, timeout=15) as resp:
|
|
data = json.loads(resp.read().decode("utf-8"))
|
|
return _scryfall_to_commander(data)
|
|
except Exception:
|
|
pass
|
|
|
|
return None
|
|
|
|
|
|
def _scryfall_to_commander(data: dict) -> dict:
|
|
"""Convert Scryfall API response to commander info dict."""
|
|
ci = data.get("color_identity", [])
|
|
image_uris = data.get("image_uris", {})
|
|
if not image_uris and data.get("card_faces"):
|
|
image_uris = data["card_faces"][0].get("image_uris", {})
|
|
return {
|
|
"name": data.get("name", ""),
|
|
"scryfall_id": data.get("id", ""),
|
|
"color_identity": ci,
|
|
"type_line": data.get("type_line", ""),
|
|
"mana_cost": data.get("mana_cost", ""),
|
|
"image_url": image_uris.get("normal", ""),
|
|
}
|
|
|
|
|
|
def _get_collection_for_colors(color_identity: list) -> list:
|
|
"""
|
|
Fetch all collection cards compatible with the given color identity.
|
|
Returns list of dicts with card details.
|
|
"""
|
|
conn = _get_db_conn()
|
|
rows = conn.execute(
|
|
"SELECT * FROM collection_entries WHERE quantity > 0"
|
|
).fetchall()
|
|
|
|
valid = []
|
|
for row in rows:
|
|
card = _row_to_dict(row)
|
|
card_ci = card.get("color_identity", [])
|
|
if isinstance(card_ci, str):
|
|
try:
|
|
card_ci = json.loads(card_ci)
|
|
except Exception:
|
|
card_ci = []
|
|
|
|
# Color identity check: all card colors must be within commander's identity
|
|
if color_identity and card_ci:
|
|
if not all(c in color_identity for c in card_ci):
|
|
continue
|
|
|
|
# Skip if no scryfall_id
|
|
if not card.get("scryfall_id"):
|
|
continue
|
|
|
|
card["color_identity"] = card_ci
|
|
valid.append(card)
|
|
|
|
return valid
|
|
|
|
|
|
def _generate_deck(req: DeckGenerationRequest) -> dict:
|
|
"""
|
|
Core deck generation algorithm.
|
|
|
|
1. Resolve commander
|
|
2. Load collection filtered to color identity
|
|
3. Call enabled source adapters (stubbed)
|
|
4. Build candidate pool, score by role/type fit
|
|
5. Fill slots per target ratios, preferring owned cards
|
|
6. Return response dict
|
|
"""
|
|
# 1. Resolve commander
|
|
commander = _resolve_commander(req)
|
|
if not commander:
|
|
return {"error": "Commander not found. Please check the name or Scryfall ID."}
|
|
|
|
color_identity = req.color_identity or commander.get("color_identity", [])
|
|
print(f" [DECKGEN] Commander: {commander['name']}, CI: {color_identity}")
|
|
|
|
# 2. Load collection
|
|
collection = _get_collection_for_colors(color_identity)
|
|
print(f" [DECKGEN] {len(collection)} cards in collection match color identity")
|
|
|
|
# 3. Call source adapters (currently stubbed)
|
|
template_cards = [] # list of (name, weight, source_name)
|
|
sources = req.sources or DeckGenerationSourceConfig()
|
|
|
|
try:
|
|
if sources.use_archidekt:
|
|
from deck_sources.archidekt_adapter import fetch_template_decks as archidekt_fetch
|
|
for td in archidekt_fetch(commander["name"], color_identity, {"url": sources.archidekt_url}):
|
|
for tc in td.cards:
|
|
template_cards.append((tc.name, tc.quantity, "archidekt"))
|
|
except Exception as e:
|
|
print(f" [DECKGEN] Archidekt adapter error: {e}")
|
|
|
|
try:
|
|
if sources.use_edhrec:
|
|
from deck_sources.edhrec_adapter import fetch_template_decks as edhrec_fetch
|
|
for td in edhrec_fetch(commander["name"], color_identity):
|
|
for tc in td.cards:
|
|
template_cards.append((tc.name, tc.quantity, "edhrec"))
|
|
except Exception as e:
|
|
print(f" [DECKGEN] EDHREC adapter error: {e}")
|
|
|
|
try:
|
|
if sources.use_moxfield:
|
|
from deck_sources.moxfield_adapter import fetch_template_decks as moxfield_fetch
|
|
for td in moxfield_fetch(commander["name"], color_identity, {"url": sources.moxfield_url}):
|
|
for tc in td.cards:
|
|
template_cards.append((tc.name, tc.quantity, "moxfield"))
|
|
except Exception as e:
|
|
print(f" [DECKGEN] Moxfield adapter error: {e}")
|
|
|
|
try:
|
|
if sources.use_mtggoldfish:
|
|
from deck_sources.mtggoldfish_adapter import fetch_template_decks as mtggoldfish_fetch
|
|
for td in mtggoldfish_fetch(commander["name"], color_identity, {"url": sources.mtggoldfish_url}):
|
|
for tc in td.cards:
|
|
template_cards.append((tc.name, tc.quantity, "mtggoldfish"))
|
|
except Exception as e:
|
|
print(f" [DECKGEN] MTGGoldfish adapter error: {e}")
|
|
|
|
# 4. Build candidate pool from collection, scored by type need
|
|
# Build a map: name_lower -> card dict (deduped)
|
|
candidate_map = {}
|
|
for card in collection:
|
|
name = card.get("name", "")
|
|
if not name:
|
|
continue
|
|
key = name.lower()
|
|
# Skip the commander itself
|
|
if key == commander["name"].lower():
|
|
continue
|
|
if key not in candidate_map:
|
|
type_line = card.get("type_line", "")
|
|
card_type = _classify_card_type(type_line)
|
|
card_roles = _detect_card_roles(
|
|
card.get("oracle_text", ""),
|
|
type_line,
|
|
card.get("keywords", [])
|
|
)
|
|
candidate_map[key] = {
|
|
"scryfall_id": card.get("scryfall_id", ""),
|
|
"name": name,
|
|
"type_line": type_line,
|
|
"mana_cost": card.get("mana_cost", ""),
|
|
"cmc": float(card.get("cmc", 0)),
|
|
"card_type": card_type,
|
|
"roles": card_roles,
|
|
"source": "collection",
|
|
"quantity": 1,
|
|
"owned_qty": int(card.get("quantity", 0)),
|
|
"is_proxy": False,
|
|
"edhrec_rank": int(card.get("edhrec_rank", 99999)),
|
|
"image_url": f"https://api.scryfall.com/cards/{card.get('scryfall_id', '')}?format=image&version=normal"
|
|
if card.get("scryfall_id") else "",
|
|
}
|
|
else:
|
|
# Merge quantities
|
|
candidate_map[key]["owned_qty"] += int(card.get("quantity", 0))
|
|
|
|
# Add template cards that aren't in collection (as potential proxies)
|
|
for tname, tqty, tsource in template_cards:
|
|
key = tname.lower()
|
|
if key == commander["name"].lower():
|
|
continue
|
|
if key in candidate_map:
|
|
# Boost priority for cards that appear in templates
|
|
candidate_map[key]["_template_weight"] = candidate_map[key].get("_template_weight", 0) + tqty
|
|
if candidate_map[key]["source"] == "collection":
|
|
candidate_map[key]["source"] = f"collection+{tsource}"
|
|
elif req.allow_proxies:
|
|
candidate_map[key] = {
|
|
"scryfall_id": "",
|
|
"name": tname,
|
|
"type_line": "",
|
|
"mana_cost": "",
|
|
"cmc": 0,
|
|
"card_type": "Other",
|
|
"roles": [],
|
|
"source": tsource,
|
|
"quantity": 1,
|
|
"owned_qty": 0,
|
|
"is_proxy": True,
|
|
"edhrec_rank": 99999,
|
|
"image_url": "",
|
|
"_template_weight": tqty,
|
|
}
|
|
|
|
# 5. Fill slots per target ratios
|
|
targets = {
|
|
"Land": req.target_land_count,
|
|
"Creature": req.target_creature_count,
|
|
"Instant": req.target_instant_count,
|
|
"Sorcery": req.target_sorcery_count,
|
|
"Artifact": req.target_artifact_count,
|
|
"Enchantment": req.target_enchantment_count,
|
|
"Planeswalker": req.target_planeswalker_count,
|
|
}
|
|
|
|
# Group candidates by type
|
|
by_type = {}
|
|
for card in candidate_map.values():
|
|
ct = card["card_type"]
|
|
by_type.setdefault(ct, []).append(card)
|
|
|
|
# Score and sort candidates within each type
|
|
for ct, cards in by_type.items():
|
|
for card in cards:
|
|
score = 0
|
|
# Prefer owned cards heavily
|
|
if card["owned_qty"] > 0:
|
|
score += 100
|
|
# Prefer cards with functional roles
|
|
for r in card.get("roles", []):
|
|
if r in ("Ramp", "Draw", "Removal", "BoardWipe"):
|
|
score += 10
|
|
else:
|
|
score += 3
|
|
# Prefer lower EDHREC rank (more popular cards)
|
|
edhrec_rank = card.get("edhrec_rank", 99999)
|
|
if edhrec_rank < 500:
|
|
score += 15
|
|
elif edhrec_rank < 2000:
|
|
score += 10
|
|
elif edhrec_rank < 5000:
|
|
score += 5
|
|
# Prefer cards from templates
|
|
score += card.get("_template_weight", 0) * 5
|
|
# Prefer lower CMC (curve optimization)
|
|
cmc = card.get("cmc", 0)
|
|
if cmc <= 2:
|
|
score += 5
|
|
elif cmc <= 4:
|
|
score += 3
|
|
card["_score"] = score
|
|
cards.sort(key=lambda x: x["_score"], reverse=True)
|
|
|
|
# Pick cards for each slot type
|
|
deck_cards = []
|
|
used_names = set() # track by name to avoid duplicates
|
|
|
|
for card_type, target in targets.items():
|
|
candidates = by_type.get(card_type, [])
|
|
picked = 0
|
|
for card in candidates:
|
|
if picked >= target:
|
|
break
|
|
name_key = card["name"].lower()
|
|
if name_key in used_names:
|
|
continue
|
|
# If only collection, skip proxies
|
|
if req.only_cards_in_collection and card["owned_qty"] <= 0:
|
|
continue
|
|
used_names.add(name_key)
|
|
deck_cards.append(card)
|
|
picked += 1
|
|
|
|
# Fill remaining slots up to 99 (commander is #100)
|
|
total = sum(targets.values())
|
|
if total < 99:
|
|
remaining = 99 - len(deck_cards)
|
|
# Fill with best remaining cards from any type
|
|
all_remaining = []
|
|
for ct, cards in by_type.items():
|
|
for card in cards:
|
|
if card["name"].lower() not in used_names:
|
|
if not req.only_cards_in_collection or card["owned_qty"] > 0:
|
|
all_remaining.append(card)
|
|
all_remaining.sort(key=lambda x: x.get("_score", 0), reverse=True)
|
|
for card in all_remaining[:remaining]:
|
|
used_names.add(card["name"].lower())
|
|
deck_cards.append(card)
|
|
elif len(deck_cards) > 99:
|
|
deck_cards = deck_cards[:99]
|
|
|
|
# 6. Compute stats
|
|
stats = {"total": len(deck_cards) + 1, "land": 0, "nonland": 0, "by_type": {}, "owned": 0, "proxy": 0}
|
|
for card in deck_cards:
|
|
ct = card.get("card_type", "Other")
|
|
stats["by_type"][ct] = stats["by_type"].get(ct, 0) + 1
|
|
if ct == "Land":
|
|
stats["land"] += 1
|
|
else:
|
|
stats["nonland"] += 1
|
|
if card.get("owned_qty", 0) > 0:
|
|
stats["owned"] += 1
|
|
else:
|
|
stats["proxy"] += 1
|
|
|
|
# Clean up internal scoring keys
|
|
clean_cards = []
|
|
for card in deck_cards:
|
|
clean_cards.append({
|
|
"scryfall_id": card.get("scryfall_id", ""),
|
|
"name": card.get("name", ""),
|
|
"type_line": card.get("type_line", ""),
|
|
"mana_cost": card.get("mana_cost", ""),
|
|
"cmc": card.get("cmc", 0),
|
|
"card_type": card.get("card_type", "Other"),
|
|
"roles": card.get("roles", []),
|
|
"source": card.get("source", "collection"),
|
|
"quantity": 1,
|
|
"image_url": card.get("image_url", ""),
|
|
"owned_qty": card.get("owned_qty", 0),
|
|
"is_proxy": card.get("is_proxy", False),
|
|
})
|
|
|
|
print(f" [DECKGEN] Generated deck: {len(clean_cards)} cards + commander")
|
|
print(f" [DECKGEN] Stats: {stats}")
|
|
|
|
return {
|
|
"commander": commander,
|
|
"color_identity": color_identity,
|
|
"cards": clean_cards,
|
|
"stats": stats,
|
|
"targets": targets,
|
|
}
|
|
|
|
|
|
@app.get("/api/deck-generator/config")
|
|
async def deck_generator_config():
|
|
"""
|
|
Return default ratios, supported sources, and limits.
|
|
Used by the frontend to prefill the generator form.
|
|
"""
|
|
return {
|
|
"defaults": {
|
|
"target_land_count": 37,
|
|
"target_instant_count": 10,
|
|
"target_sorcery_count": 8,
|
|
"target_artifact_count": 10,
|
|
"target_enchantment_count": 8,
|
|
"target_creature_count": 25,
|
|
"target_planeswalker_count": 2,
|
|
"only_cards_in_collection": False,
|
|
"allow_proxies": True,
|
|
},
|
|
"sources": [
|
|
{"id": "archidekt", "name": "Archidekt", "enabled": True, "experimental": False},
|
|
{"id": "edhrec", "name": "EDHREC", "enabled": True, "experimental": False},
|
|
{"id": "moxfield", "name": "Moxfield", "enabled": False, "experimental": True},
|
|
{"id": "mtggoldfish", "name": "MTGGoldfish", "enabled": False, "experimental": True},
|
|
],
|
|
"limits": {
|
|
"deck_size": 100,
|
|
"max_external_templates": 5,
|
|
},
|
|
}
|
|
|
|
|
|
@app.post("/api/deck-generator/preview")
|
|
async def deck_generator_preview(req: DeckGenerationRequest):
|
|
"""
|
|
Generate a deck preview without saving it.
|
|
Returns the generated deck data for user review.
|
|
"""
|
|
result = _generate_deck(req)
|
|
if "error" in result:
|
|
raise HTTPException(400, result["error"])
|
|
return result
|
|
|
|
|
|
@app.post("/api/deck-generator/commit")
|
|
async def deck_generator_commit(req: DeckGenerationRequest):
|
|
"""
|
|
Generate a deck and save it to the Deck Builder.
|
|
Returns the generated deck data plus deck_id and deck_name.
|
|
"""
|
|
result = _generate_deck(req)
|
|
if "error" in result:
|
|
raise HTTPException(400, result["error"])
|
|
|
|
commander = result["commander"]
|
|
color_identity = result["color_identity"]
|
|
cards = result["cards"]
|
|
|
|
# Determine deck name
|
|
deck_name = req.deck_name or f"Auto - {commander['name']} - {datetime.now().strftime('%Y-%m-%d %H:%M')}"
|
|
|
|
# Create the deck in the database
|
|
conn = _get_db_conn()
|
|
color_identity_json = json.dumps(color_identity)
|
|
cur = conn.execute(
|
|
"""
|
|
INSERT INTO decks (name, commander_scryfall_id, commander_name, color_identity, strategy_tag)
|
|
VALUES (?, ?, ?, ?, ?)
|
|
""",
|
|
(
|
|
deck_name,
|
|
commander.get("scryfall_id", ""),
|
|
commander.get("name", ""),
|
|
color_identity_json,
|
|
"auto-generated",
|
|
)
|
|
)
|
|
conn.commit()
|
|
deck_id = cur.lastrowid
|
|
|
|
# Insert commander as a deck card with is_commander=1
|
|
conn.execute(
|
|
"INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity, is_commander, role_tag) VALUES (?, ?, ?, 1, 1, 'Commander')",
|
|
(deck_id, commander.get("scryfall_id", ""), commander.get("name", ""))
|
|
)
|
|
|
|
# Insert the 99 cards
|
|
for card in cards:
|
|
scryfall_id = card.get("scryfall_id", "")
|
|
card_name = card.get("name", "")
|
|
quantity = card.get("quantity", 1)
|
|
if not scryfall_id and not card_name:
|
|
continue
|
|
conn.execute(
|
|
"INSERT INTO deck_cards (deck_id, scryfall_id, card_name, quantity, is_commander, role_tag) VALUES (?, ?, ?, ?, 0, ?)",
|
|
(deck_id, scryfall_id, card_name, quantity, card.get("card_type", ""))
|
|
)
|
|
conn.commit()
|
|
|
|
# Also export a .dck file to the Forge decks directory so it appears in the Sim Lab
|
|
try:
|
|
decks_dir = CFG.forge_decks_dir
|
|
if decks_dir and os.path.isdir(decks_dir):
|
|
safe_name = re.sub(r'[^a-zA-Z0-9_\-\s]', '', deck_name).strip().replace(' ', '_')
|
|
if not safe_name:
|
|
safe_name = f"AutoDeck_{deck_id}"
|
|
dck_path = os.path.join(decks_dir, f"{safe_name}.dck")
|
|
dck_lines = []
|
|
dck_lines.append("[metadata]")
|
|
dck_lines.append(f"Name={deck_name}")
|
|
dck_lines.append("")
|
|
dck_lines.append("[Commander]")
|
|
dck_lines.append(f"1 {commander['name']}")
|
|
dck_lines.append("")
|
|
dck_lines.append("[Main]")
|
|
for card in cards:
|
|
card_name = card.get("name", "")
|
|
if card_name:
|
|
dck_lines.append(f"{card.get('quantity', 1)} {card_name}")
|
|
with open(dck_path, "w", encoding="utf-8") as f:
|
|
f.write("\n".join(dck_lines))
|
|
print(f" [DECKGEN] Exported .dck file: {dck_path}")
|
|
except Exception as e:
|
|
print(f" [DECKGEN] Warning: Failed to export .dck file: {e}")
|
|
|
|
print(f" [DECKGEN] Saved deck '{deck_name}' (ID: {deck_id}) with {len(cards)} cards + commander")
|
|
|
|
result["deck_id"] = deck_id
|
|
result["deck_name"] = deck_name
|
|
return result
|
|
|
|
|
|
@app.get("/api/deck-generator/commander-search")
|
|
async def deck_generator_commander_search(q: str = ""):
|
|
"""
|
|
Search for legendary creatures/planeswalkers to use as commander.
|
|
First checks collection, then falls back to Scryfall.
|
|
"""
|
|
if not q or len(q) < 2:
|
|
return {"results": []}
|
|
|
|
conn = _get_db_conn()
|
|
q_lower = f"%{q.lower()}%"
|
|
|
|
# Search collection first
|
|
rows = conn.execute(
|
|
"""
|
|
SELECT DISTINCT name, type_line, color_identity, mana_cost, scryfall_id
|
|
FROM collection_entries
|
|
WHERE LOWER(name) LIKE ? AND is_legendary = 1
|
|
AND (type_line LIKE '%Creature%' OR type_line LIKE '%Planeswalker%')
|
|
ORDER BY name ASC
|
|
LIMIT 20
|
|
""",
|
|
(q_lower,)
|
|
).fetchall()
|
|
|
|
results = []
|
|
for r in rows:
|
|
ci = r["color_identity"]
|
|
if isinstance(ci, str):
|
|
try:
|
|
ci = json.loads(ci)
|
|
except Exception:
|
|
ci = []
|
|
results.append({
|
|
"name": r["name"],
|
|
"type_line": r["type_line"],
|
|
"color_identity": ci,
|
|
"mana_cost": r["mana_cost"] or "",
|
|
"scryfall_id": r["scryfall_id"],
|
|
"in_collection": True,
|
|
"image_url": f"https://api.scryfall.com/cards/{r['scryfall_id']}?format=image&version=normal"
|
|
if r["scryfall_id"] else "",
|
|
})
|
|
|
|
# If few results, supplement with Scryfall
|
|
if len(results) < 5:
|
|
try:
|
|
import urllib.parse
|
|
encoded = urllib.parse.quote(q)
|
|
_scryfall_rate_limit()
|
|
url = f"https://api.scryfall.com/cards/search?q={encoded}+t%3Alegendary+(t%3Acreature+OR+t%3Aplaneswalker)&order=edhrec&unique=cards"
|
|
rq = Request(url, headers={"User-Agent": "CommanderAILab/1.0", "Accept": "application/json"})
|
|
with urlopen(rq, timeout=15) as resp:
|
|
data = json.loads(resp.read().decode("utf-8"))
|
|
|
|
existing_names = {r["name"].lower() for r in results}
|
|
for card in data.get("data", [])[:10]:
|
|
if card["name"].lower() in existing_names:
|
|
continue
|
|
image_uris = card.get("image_uris", {})
|
|
if not image_uris and card.get("card_faces"):
|
|
image_uris = card["card_faces"][0].get("image_uris", {})
|
|
results.append({
|
|
"name": card["name"],
|
|
"type_line": card.get("type_line", ""),
|
|
"color_identity": card.get("color_identity", []),
|
|
"mana_cost": card.get("mana_cost", ""),
|
|
"scryfall_id": card.get("id", ""),
|
|
"in_collection": False,
|
|
"image_url": image_uris.get("normal", image_uris.get("small", "")),
|
|
})
|
|
except Exception as e:
|
|
print(f" [DECKGEN] Scryfall search error: {e}")
|
|
|
|
return {"results": results[:20]}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Coach Service (LLM-powered deck coaching)
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# Global coach instances (initialized at startup)
|
|
_coach_service = None
|
|
_coach_embeddings = None
|
|
_coach_llm = None
|
|
|
|
|
|
def init_coach_service():
|
|
"""Initialize the coach service with LLM client and embeddings."""
|
|
global _coach_service, _coach_embeddings, _coach_llm
|
|
try:
|
|
from coach.llm_client import LMStudioClient
|
|
from coach.embeddings import MTGEmbeddingIndex
|
|
from coach.coach_service import CoachService
|
|
from coach.config import ensure_dirs
|
|
|
|
ensure_dirs()
|
|
|
|
_coach_llm = LMStudioClient()
|
|
_coach_embeddings = MTGEmbeddingIndex()
|
|
|
|
# Try to load embeddings (non-blocking — download happens on first use)
|
|
try:
|
|
from coach.config import EMBEDDINGS_NPZ
|
|
if EMBEDDINGS_NPZ.exists():
|
|
_coach_embeddings.load()
|
|
print(f" Coach: Embeddings loaded ({_coach_embeddings.card_count} cards)")
|
|
else:
|
|
print(" Coach: Embeddings not yet downloaded (will download on first use)")
|
|
except Exception as e:
|
|
print(f" Coach: Embeddings load failed: {e}")
|
|
|
|
_coach_service = CoachService(_coach_llm, _coach_embeddings)
|
|
|
|
# Check LLM connection
|
|
llm_status = _coach_llm.check_connection()
|
|
if llm_status.get("connected"):
|
|
print(f" Coach LLM: Connected ({llm_status.get('active_model', 'unknown')})")
|
|
else:
|
|
print(f" Coach LLM: Not connected (start LM Studio on 192.168.0.122:1234)")
|
|
|
|
print(" Coach: Service initialized")
|
|
except Exception as e:
|
|
print(f" Coach: Failed to initialize: {e}")
|
|
_coach_service = None
|
|
|
|
|
|
@app.get("/api/coach/status")
|
|
async def coach_status():
|
|
"""Check coach subsystem health."""
|
|
if _coach_service is None:
|
|
return {"llmConnected": False, "embeddingsLoaded": False,
|
|
"embeddingCards": 0, "deckReportsAvailable": 0,
|
|
"error": "Coach service not initialized"}
|
|
status = _coach_service.get_status()
|
|
return status.model_dump()
|
|
|
|
|
|
@app.get("/api/coach/decks")
|
|
async def coach_list_decks():
|
|
"""List all decks with available reports."""
|
|
if _coach_service is None:
|
|
raise HTTPException(500, "Coach service not initialized")
|
|
return {"decks": _coach_service.list_deck_reports()}
|
|
|
|
|
|
@app.get("/api/coach/decks/{deck_id}/report")
|
|
async def coach_get_report(deck_id: str):
|
|
"""Get the latest DeckReport for a deck."""
|
|
if _coach_service is None:
|
|
raise HTTPException(500, "Coach service not initialized")
|
|
report = _coach_service.load_deck_report(deck_id)
|
|
if report is None:
|
|
raise HTTPException(404, f"Deck report not found: {deck_id}")
|
|
return report.model_dump()
|
|
|
|
|
|
class CoachRequestBody(BaseModel):
|
|
goals: Optional[dict] = None
|
|
|
|
|
|
@app.post("/api/coach/decks/{deck_id}")
|
|
async def coach_run_session(deck_id: str, body: CoachRequestBody = None):
|
|
"""Trigger a coaching session for a deck."""
|
|
if _coach_service is None:
|
|
raise HTTPException(500, "Coach service not initialized")
|
|
|
|
# Load embeddings on first use if not loaded
|
|
if _coach_embeddings and not _coach_embeddings.loaded:
|
|
try:
|
|
_coach_embeddings.load(force_download=True)
|
|
except Exception as e:
|
|
print(f" Coach: Embeddings download failed: {e}")
|
|
|
|
goals = None
|
|
if body and body.goals:
|
|
from coach.models import CoachGoals
|
|
try:
|
|
goals = CoachGoals(**body.goals)
|
|
except Exception:
|
|
goals = None
|
|
|
|
try:
|
|
session = await _coach_service.run_coaching_session(deck_id, goals)
|
|
return session.model_dump()
|
|
except ValueError as e:
|
|
raise HTTPException(404, str(e))
|
|
except ConnectionError as e:
|
|
raise HTTPException(503, f"LLM connection failed: {e}")
|
|
except Exception as e:
|
|
raise HTTPException(500, f"Coach session failed: {e}")
|
|
|
|
|
|
@app.get("/api/coach/sessions")
|
|
async def coach_list_sessions(deck_id: str = None):
|
|
"""List all coaching sessions, optionally filtered by deck."""
|
|
if _coach_service is None:
|
|
raise HTTPException(500, "Coach service not initialized")
|
|
return {"sessions": _coach_service.list_sessions(deck_id)}
|
|
|
|
|
|
@app.get("/api/coach/sessions/{session_id}")
|
|
async def coach_get_session(session_id: str):
|
|
"""Get a specific coaching session."""
|
|
if _coach_service is None:
|
|
raise HTTPException(500, "Coach service not initialized")
|
|
session = _coach_service.load_session(session_id)
|
|
if session is None:
|
|
raise HTTPException(404, f"Session not found: {session_id}")
|
|
return session.model_dump()
|
|
|
|
|
|
@app.post("/api/coach/embeddings/download")
|
|
async def coach_download_embeddings():
|
|
"""Download and convert MTG card embeddings from HuggingFace."""
|
|
if _coach_embeddings is None:
|
|
raise HTTPException(500, "Coach service not initialized")
|
|
try:
|
|
_coach_embeddings.load(force_download=True)
|
|
return {
|
|
"success": True,
|
|
"cards": _coach_embeddings.card_count,
|
|
"message": f"Loaded {_coach_embeddings.card_count} card embeddings"
|
|
}
|
|
except Exception as e:
|
|
raise HTTPException(500, f"Failed to download embeddings: {e}")
|
|
|
|
|
|
@app.get("/api/coach/embeddings/search")
|
|
async def coach_search_similar(card: str, colors: str = None, top_n: int = 10):
|
|
"""Search for similar cards by name."""
|
|
if _coach_embeddings is None or not _coach_embeddings.loaded:
|
|
raise HTTPException(503, "Embeddings not loaded")
|
|
color_filter = list(colors.upper()) if colors else None
|
|
matches = _coach_embeddings.search_similar(
|
|
query_card=card, color_filter=color_filter, top_n=top_n
|
|
)
|
|
return {"query": card, "matches": [m.to_dict() for m in matches]}
|
|
|
|
|
|
@app.post("/api/coach/reports/generate")
|
|
async def coach_generate_reports():
|
|
"""Rebuild all deck reports from batch result JSONs in results/."""
|
|
try:
|
|
from coach.report_generator import generate_deck_reports
|
|
lab_root = Path(__file__).parent
|
|
results_dir = str(lab_root / CFG.results_dir)
|
|
reports_dir = str(lab_root / "deck-reports")
|
|
updated = generate_deck_reports(results_dir, reports_dir)
|
|
return {
|
|
"status": "ok",
|
|
"decksUpdated": updated,
|
|
"count": len(updated),
|
|
"message": f"Generated reports for {len(updated)} decks" if updated else "No batch results found",
|
|
}
|
|
except Exception as e:
|
|
raise HTTPException(500, f"Report generation failed: {e}")
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# ML Training Data Endpoints
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
@app.get("/api/ml/status")
|
|
async def ml_status():
|
|
"""Get ML decision logging status and available training data."""
|
|
global _ml_logging_enabled
|
|
lab_root = Path(__file__).parent
|
|
results_dir = lab_root / CFG.results_dir
|
|
|
|
# Find existing ML decision files
|
|
ml_files = []
|
|
if results_dir.exists():
|
|
for f in sorted(results_dir.glob("ml-decisions-*.jsonl")):
|
|
lines = 0
|
|
try:
|
|
with open(f) as fh:
|
|
lines = sum(1 for _ in fh)
|
|
except Exception:
|
|
pass
|
|
ml_files.append({
|
|
"file": f.name,
|
|
"decisions": lines,
|
|
"size_kb": round(f.stat().st_size / 1024, 1),
|
|
})
|
|
|
|
total_decisions = sum(f["decisions"] for f in ml_files)
|
|
return {
|
|
"ml_logging_enabled": _ml_logging_enabled,
|
|
"training_files": ml_files,
|
|
"total_decisions": total_decisions,
|
|
"total_files": len(ml_files),
|
|
}
|
|
|
|
|
|
@app.post("/api/ml/toggle")
|
|
async def ml_toggle(enable: bool = True):
|
|
"""Enable or disable ML decision logging for future batch runs."""
|
|
global _ml_logging_enabled
|
|
_ml_logging_enabled = enable
|
|
return {
|
|
"ml_logging_enabled": _ml_logging_enabled,
|
|
"message": f"ML decision logging {'enabled' if enable else 'disabled'} for future batches",
|
|
}
|
|
|
|
|
|
@app.get("/api/ml/decisions/{filename}")
|
|
async def ml_get_decisions(filename: str, limit: int = 100, offset: int = 0):
|
|
"""Read decision snapshots from a training data file."""
|
|
lab_root = Path(__file__).parent
|
|
filepath = lab_root / CFG.results_dir / filename
|
|
|
|
if not filepath.exists() or not filename.startswith("ml-decisions-"):
|
|
raise HTTPException(404, f"ML decisions file not found: {filename}")
|
|
|
|
decisions = []
|
|
try:
|
|
import json as _json
|
|
with open(filepath) as f:
|
|
for i, line in enumerate(f):
|
|
if i < offset:
|
|
continue
|
|
if len(decisions) >= limit:
|
|
break
|
|
try:
|
|
decisions.append(_json.loads(line.strip()))
|
|
except _json.JSONDecodeError:
|
|
continue
|
|
except Exception as e:
|
|
raise HTTPException(500, f"Failed to read decisions: {e}")
|
|
|
|
return {
|
|
"file": filename,
|
|
"offset": offset,
|
|
"limit": limit,
|
|
"count": len(decisions),
|
|
"decisions": decisions,
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# ML Policy Inference Endpoints
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# Lazy-loaded policy inference service (only loads when first called)
|
|
_policy_service = None
|
|
_policy_service_init_attempted = False
|
|
|
|
|
|
def _get_policy_service():
|
|
"""Get or initialize the policy inference service (lazy loading)."""
|
|
global _policy_service, _policy_service_init_attempted
|
|
if _policy_service is None and not _policy_service_init_attempted:
|
|
_policy_service_init_attempted = True
|
|
try:
|
|
from ml.serving.policy_server import PolicyInferenceService
|
|
_policy_service = PolicyInferenceService()
|
|
if _policy_service.load():
|
|
print(f"[ML] Policy model loaded on {_policy_service.device}")
|
|
else:
|
|
print(f"[ML] Policy model not available: {_policy_service._load_error}")
|
|
except Exception as e:
|
|
print(f"[ML] Policy service init failed: {e}")
|
|
return _policy_service
|
|
|
|
|
|
@app.post("/api/ml/predict")
|
|
async def ml_predict(request: FastAPIRequest):
|
|
"""Predict a macro-action from a game state snapshot.
|
|
|
|
Accepts DecisionSnapshot-shaped JSON from the Java batch runner.
|
|
Returns the learned policy's recommended action.
|
|
|
|
Request body:
|
|
{
|
|
"turn": 5,
|
|
"phase": "main_1",
|
|
"active_seat": 0,
|
|
"players": [...],
|
|
"archetype": "aggro",
|
|
"temperature": 1.0,
|
|
"greedy": false
|
|
}
|
|
|
|
Response:
|
|
{
|
|
"action": "cast_creature",
|
|
"action_index": 0,
|
|
"confidence": 0.73,
|
|
"probabilities": {...},
|
|
"inference_ms": 2.3
|
|
}
|
|
"""
|
|
svc = _get_policy_service()
|
|
if svc is None or not svc._loaded:
|
|
detail = "Policy model not loaded. "
|
|
if svc:
|
|
detail += svc._load_error or "Train a model first."
|
|
else:
|
|
detail += "PyTorch may not be installed."
|
|
raise HTTPException(status_code=503, detail=detail)
|
|
|
|
body = await request.json()
|
|
playstyle = body.pop("archetype", "midrange")
|
|
temperature = body.pop("temperature", 1.0)
|
|
greedy = body.pop("greedy", False)
|
|
|
|
result = svc.predict(
|
|
decision_snapshot=body,
|
|
playstyle=playstyle,
|
|
temperature=temperature,
|
|
greedy=greedy,
|
|
)
|
|
|
|
if "error" in result:
|
|
raise HTTPException(status_code=500, detail=result["error"])
|
|
return result
|
|
|
|
|
|
@app.post("/api/ml/predict/batch")
|
|
async def ml_predict_batch(request: FastAPIRequest):
|
|
"""Predict actions for multiple snapshots at once.
|
|
|
|
Request body: {"snapshots": [...], "greedy": true}
|
|
"""
|
|
svc = _get_policy_service()
|
|
if svc is None or not svc._loaded:
|
|
raise HTTPException(status_code=503, detail="Policy model not loaded")
|
|
|
|
body = await request.json()
|
|
snapshots = body.get("snapshots", [])
|
|
greedy = body.get("greedy", True)
|
|
|
|
if not snapshots:
|
|
return {"results": []}
|
|
|
|
results = svc.predict_batch(snapshots, greedy=greedy)
|
|
return {"results": results, "count": len(results)}
|
|
|
|
|
|
@app.get("/api/ml/model")
|
|
async def ml_model_info():
|
|
"""Get information about the loaded policy model."""
|
|
svc = _get_policy_service()
|
|
if svc is None:
|
|
return {
|
|
"loaded": False,
|
|
"error": "Policy service not initialized",
|
|
"torch_available": False,
|
|
}
|
|
return svc.get_status()
|
|
|
|
|
|
@app.post("/api/ml/reload")
|
|
async def ml_reload_model(checkpoint: str = None):
|
|
"""Hot-reload a policy model checkpoint."""
|
|
svc = _get_policy_service()
|
|
if svc is None:
|
|
raise HTTPException(status_code=503, detail="Policy service not available")
|
|
|
|
# If service hasn't loaded yet, try full load
|
|
if not svc._loaded:
|
|
ok = svc.load()
|
|
else:
|
|
ok = svc.reload(checkpoint)
|
|
|
|
return {
|
|
"success": ok,
|
|
"status": svc.get_status(),
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# ML Training Management Endpoints
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
# Training state tracking
|
|
_training_state = {
|
|
"running": False,
|
|
"progress": 0,
|
|
"total_epochs": 0,
|
|
"current_epoch": 0,
|
|
"phase": "idle", # idle | building | training | evaluating | done | error
|
|
"message": "",
|
|
"metrics": None, # latest epoch metrics
|
|
"result": None, # final training result
|
|
"error": None,
|
|
"started_at": None,
|
|
}
|
|
|
|
|
|
def _run_training_pipeline(
|
|
results_dir: str,
|
|
epochs: int,
|
|
lr: float,
|
|
batch_size: int,
|
|
patience: int,
|
|
rebuild_dataset: bool,
|
|
):
|
|
"""Run the full ML training pipeline in a background thread."""
|
|
global _training_state
|
|
try:
|
|
import sys
|
|
project_root = str(Path(__file__).parent)
|
|
if project_root not in sys.path:
|
|
sys.path.insert(0, project_root)
|
|
|
|
_training_state["running"] = True
|
|
_training_state["started_at"] = datetime.now().isoformat()
|
|
_training_state["error"] = None
|
|
_training_state["result"] = None
|
|
|
|
data_dir = os.path.join(project_root, "ml", "models")
|
|
ckpt_dir = os.path.join(project_root, "ml", "models", "checkpoints")
|
|
os.makedirs(data_dir, exist_ok=True)
|
|
os.makedirs(ckpt_dir, exist_ok=True)
|
|
|
|
# --- Phase 1: Build Dataset ---
|
|
train_path = os.path.join(data_dir, "train.npz")
|
|
if rebuild_dataset or not os.path.exists(train_path):
|
|
_training_state["phase"] = "building"
|
|
_training_state["message"] = "Building training dataset from decision logs..."
|
|
print("[ML Train] Building dataset...")
|
|
|
|
from ml.data.dataset_builder import build_dataset, split_dataset, save_dataset
|
|
dataset = build_dataset(results_dir=results_dir)
|
|
if not dataset:
|
|
raise RuntimeError("No training data found. Run batch simulations with ML logging enabled first.")
|
|
train_ds, val_ds, test_ds = split_dataset(dataset)
|
|
save_dataset(train_ds, os.path.join(data_dir, "train.npz"))
|
|
save_dataset(val_ds, os.path.join(data_dir, "val.npz"))
|
|
save_dataset(test_ds, os.path.join(data_dir, "test.npz"))
|
|
total_samples = len(dataset["states"])
|
|
_training_state["message"] = f"Dataset built: {total_samples} samples"
|
|
print(f"[ML Train] Dataset built: {total_samples} samples")
|
|
|
|
# --- Phase 2: Train ---
|
|
_training_state["phase"] = "training"
|
|
_training_state["total_epochs"] = epochs
|
|
_training_state["current_epoch"] = 0
|
|
_training_state["message"] = f"Training policy network ({epochs} epochs)..."
|
|
print(f"[ML Train] Starting training: {epochs} epochs, lr={lr}, bs={batch_size}")
|
|
|
|
import numpy as np
|
|
import torch
|
|
from ml.training.policy_network import PolicyNetwork
|
|
from ml.training.trainer import SupervisedTrainer
|
|
|
|
def load_npz_split(path):
|
|
data = np.load(path)
|
|
return data["states"].astype(np.float32), data["labels"].astype(np.int64)
|
|
|
|
train_states, train_labels = load_npz_split(train_path)
|
|
val_path = os.path.join(data_dir, "val.npz")
|
|
val_states, val_labels = load_npz_split(val_path)
|
|
|
|
actual_dim = train_states.shape[1]
|
|
model = PolicyNetwork(input_dim=actual_dim)
|
|
|
|
device = "cpu"
|
|
if torch.cuda.is_available():
|
|
device = "cuda"
|
|
elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
|
|
device = "mps"
|
|
|
|
trainer = SupervisedTrainer(
|
|
model=model,
|
|
device=device,
|
|
learning_rate=lr,
|
|
batch_size=batch_size,
|
|
epochs=epochs,
|
|
patience=patience,
|
|
checkpoint_dir=ckpt_dir,
|
|
)
|
|
|
|
# Hook into trainer to report progress
|
|
original_train = trainer.train
|
|
|
|
def patched_train(train_s, train_l, val_s, val_l):
|
|
# We'll monitor the checkpoint dir for progress
|
|
return original_train(train_s, train_l, val_s, val_l)
|
|
|
|
summary = trainer.train(train_states, train_labels, val_states, val_labels)
|
|
|
|
_training_state["current_epoch"] = summary.get("epochs_trained", epochs)
|
|
_training_state["metrics"] = summary
|
|
|
|
# --- Phase 3: Evaluate ---
|
|
_training_state["phase"] = "evaluating"
|
|
_training_state["message"] = "Evaluating on test set..."
|
|
|
|
test_path = os.path.join(data_dir, "test.npz")
|
|
eval_results = None
|
|
if os.path.exists(test_path):
|
|
from ml.training.trainer import load_checkpoint, evaluate_model
|
|
test_states, test_labels = load_npz_split(test_path)
|
|
best_model, _ = load_checkpoint(summary["checkpoint_path"], device)
|
|
eval_results = evaluate_model(best_model, test_states, test_labels, device)
|
|
|
|
eval_path = os.path.join(ckpt_dir, "eval_results.json")
|
|
with open(eval_path, "w") as f:
|
|
json.dump(eval_results, f, indent=2)
|
|
|
|
# --- Done ---
|
|
_training_state["phase"] = "done"
|
|
_training_state["running"] = False
|
|
_training_state["result"] = {
|
|
"training": summary,
|
|
"evaluation": eval_results,
|
|
"checkpoint": summary.get("checkpoint_path", ""),
|
|
"device": device,
|
|
}
|
|
_training_state["message"] = f"Training complete! Best val acc: {summary.get('best_val_accuracy', 0):.1%}"
|
|
print(f"[ML Train] Complete: {summary.get('best_val_accuracy', 0):.1%} val accuracy")
|
|
|
|
# Auto-reload policy server with new checkpoint
|
|
global _policy_service, _policy_service_init_attempted
|
|
if _policy_service and _policy_service._loaded:
|
|
_policy_service.reload(summary.get("checkpoint_path"))
|
|
print("[ML Train] Policy server reloaded with new checkpoint")
|
|
elif not _policy_service_init_attempted:
|
|
_policy_service_init_attempted = False # Allow re-init with new model
|
|
|
|
except Exception as e:
|
|
import traceback
|
|
_training_state["phase"] = "error"
|
|
_training_state["running"] = False
|
|
_training_state["error"] = str(e)
|
|
_training_state["message"] = f"Training failed: {e}"
|
|
print(f"[ML Train] ERROR: {e}")
|
|
traceback.print_exc()
|
|
|
|
|
|
@app.post("/api/ml/train")
|
|
async def ml_start_training(request: FastAPIRequest):
|
|
"""Trigger ML training pipeline from the web UI.
|
|
|
|
Request body (all optional):
|
|
{
|
|
"epochs": 50,
|
|
"lr": 0.001,
|
|
"batchSize": 256,
|
|
"patience": 10,
|
|
"rebuildDataset": true
|
|
}
|
|
"""
|
|
if _training_state["running"]:
|
|
raise HTTPException(409, "Training already in progress")
|
|
|
|
body = await request.json() if await request.body() else {}
|
|
epochs = body.get("epochs", 50)
|
|
lr = body.get("lr", 0.001)
|
|
batch_size = body.get("batchSize", 256)
|
|
patience = body.get("patience", 10)
|
|
rebuild = body.get("rebuildDataset", True)
|
|
|
|
results_dir = os.path.join(str(Path(__file__).parent), "results")
|
|
|
|
# Reset state
|
|
_training_state.update({
|
|
"running": True,
|
|
"progress": 0,
|
|
"total_epochs": epochs,
|
|
"current_epoch": 0,
|
|
"phase": "starting",
|
|
"message": "Initializing training pipeline...",
|
|
"metrics": None,
|
|
"result": None,
|
|
"error": None,
|
|
})
|
|
|
|
# Run in background thread
|
|
thread = threading.Thread(
|
|
target=_run_training_pipeline,
|
|
args=(results_dir, epochs, lr, batch_size, patience, rebuild),
|
|
daemon=True,
|
|
)
|
|
thread.start()
|
|
|
|
return {
|
|
"status": "started",
|
|
"config": {
|
|
"epochs": epochs,
|
|
"lr": lr,
|
|
"batchSize": batch_size,
|
|
"patience": patience,
|
|
"rebuildDataset": rebuild,
|
|
},
|
|
}
|
|
|
|
|
|
@app.get("/api/ml/train/status")
|
|
async def ml_training_status():
|
|
"""Get current training pipeline status."""
|
|
return dict(_training_state)
|
|
|
|
|
|
@app.get("/api/ml/data/status")
|
|
async def ml_data_status():
|
|
"""Get status of available training data and model checkpoints."""
|
|
project_root = Path(__file__).parent
|
|
results_dir = project_root / "results"
|
|
data_dir = project_root / "ml" / "models"
|
|
ckpt_dir = data_dir / "checkpoints"
|
|
|
|
# Decision log files
|
|
decision_files = []
|
|
if results_dir.exists():
|
|
for f in sorted(results_dir.glob("ml-decisions-*.jsonl")):
|
|
line_count = 0
|
|
try:
|
|
with open(f, "r") as fh:
|
|
line_count = sum(1 for _ in fh)
|
|
except Exception:
|
|
pass
|
|
decision_files.append({
|
|
"name": f.name,
|
|
"size": f.stat().st_size,
|
|
"decisions": line_count,
|
|
})
|
|
|
|
# Dataset files
|
|
datasets = {}
|
|
for split in ["train", "val", "test"]:
|
|
path = data_dir / f"{split}.npz"
|
|
if path.exists():
|
|
try:
|
|
import numpy as np
|
|
data = np.load(str(path))
|
|
datasets[split] = {
|
|
"samples": int(data["states"].shape[0]),
|
|
"features": int(data["states"].shape[1]),
|
|
"size": path.stat().st_size,
|
|
}
|
|
except Exception:
|
|
datasets[split] = {"size": path.stat().st_size}
|
|
|
|
# Checkpoints
|
|
checkpoints = []
|
|
if ckpt_dir.exists():
|
|
for f in sorted(ckpt_dir.glob("*.pt")):
|
|
checkpoints.append({
|
|
"name": f.name,
|
|
"size": f.stat().st_size,
|
|
"modified": datetime.fromtimestamp(f.stat().st_mtime).isoformat(),
|
|
})
|
|
|
|
# Eval results
|
|
eval_path = ckpt_dir / "eval_results.json"
|
|
eval_results = None
|
|
if eval_path.exists():
|
|
try:
|
|
with open(eval_path, "r") as f:
|
|
eval_results = json.load(f)
|
|
except Exception:
|
|
pass
|
|
|
|
return {
|
|
"decisionFiles": decision_files,
|
|
"totalDecisions": sum(d["decisions"] for d in decision_files),
|
|
"datasets": datasets,
|
|
"checkpoints": checkpoints,
|
|
"evalResults": eval_results,
|
|
"policyLoaded": _policy_service is not None and _policy_service._loaded if _policy_service else False,
|
|
}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# PPO Training + Tournament Endpoints
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
_ppo_state = {
|
|
"running": False,
|
|
"iteration": 0,
|
|
"total_iterations": 0,
|
|
"phase": "idle",
|
|
"message": "",
|
|
"metrics": None,
|
|
"result": None,
|
|
"error": None,
|
|
}
|
|
|
|
_tournament_state = {
|
|
"running": False,
|
|
"phase": "idle",
|
|
"message": "",
|
|
"result": None,
|
|
"error": None,
|
|
}
|
|
|
|
|
|
def _run_ppo_pipeline(
|
|
iterations: int, episodes_per_iter: int, ppo_epochs: int, batch_size: int,
|
|
lr: float, clip_epsilon: float, entropy_coeff: float,
|
|
opponent: str, playstyle: str, load_supervised: str,
|
|
):
|
|
"""Run PPO training in a background thread."""
|
|
global _ppo_state
|
|
try:
|
|
import sys
|
|
project_root = str(Path(__file__).parent)
|
|
if project_root not in sys.path:
|
|
sys.path.insert(0, project_root)
|
|
|
|
_ppo_state["running"] = True
|
|
_ppo_state["error"] = None
|
|
_ppo_state["result"] = None
|
|
|
|
from ml.training.ppo_trainer import PPOTrainer, PPOConfig
|
|
|
|
ckpt_dir = os.path.join(project_root, "ml", "models", "checkpoints")
|
|
config = PPOConfig(
|
|
iterations=iterations,
|
|
episodes_per_iter=episodes_per_iter,
|
|
ppo_epochs=ppo_epochs,
|
|
batch_size=batch_size,
|
|
learning_rate=lr,
|
|
clip_epsilon=clip_epsilon,
|
|
entropy_coeff=entropy_coeff,
|
|
opponent=opponent,
|
|
playstyle=playstyle,
|
|
checkpoint_dir=ckpt_dir,
|
|
load_supervised=load_supervised if load_supervised else None,
|
|
)
|
|
|
|
trainer = PPOTrainer(config)
|
|
|
|
def progress_cb(iteration, metrics):
|
|
_ppo_state["iteration"] = iteration
|
|
_ppo_state["phase"] = "training"
|
|
_ppo_state["message"] = f"Iteration {iteration}/{iterations} | WR: {metrics.get('win_rate', 0):.0%}"
|
|
_ppo_state["metrics"] = metrics
|
|
|
|
summary = trainer.train(progress_callback=progress_cb)
|
|
|
|
_ppo_state["phase"] = "done"
|
|
_ppo_state["running"] = False
|
|
_ppo_state["result"] = summary
|
|
_ppo_state["message"] = f"PPO complete! Best win rate: {summary.get('best_win_rate', 0):.0%}"
|
|
|
|
except Exception as e:
|
|
import traceback
|
|
_ppo_state["phase"] = "error"
|
|
_ppo_state["running"] = False
|
|
_ppo_state["error"] = str(e)
|
|
_ppo_state["message"] = f"PPO failed: {e}"
|
|
traceback.print_exc()
|
|
|
|
|
|
@app.post("/api/ml/train/ppo")
|
|
async def ml_start_ppo(request: FastAPIRequest):
|
|
"""Start PPO training pipeline."""
|
|
if _ppo_state["running"]:
|
|
raise HTTPException(409, "PPO training already in progress")
|
|
if _training_state["running"]:
|
|
raise HTTPException(409, "Supervised training in progress — wait for it to finish")
|
|
|
|
body = await request.json() if await request.body() else {}
|
|
iterations = body.get("iterations", 100)
|
|
episodes = body.get("episodesPerIter", 64)
|
|
ppo_epochs = body.get("ppoEpochs", 4)
|
|
batch_size = body.get("batchSize", 256)
|
|
lr = body.get("lr", 3e-4)
|
|
clip_eps = body.get("clipEpsilon", 0.2)
|
|
entropy = body.get("entropyCoeff", 0.01)
|
|
opponent = body.get("opponent", "heuristic")
|
|
playstyle = body.get("playstyle", "midrange")
|
|
load_sup = body.get("loadSupervised", "")
|
|
|
|
_ppo_state.update({
|
|
"running": True, "iteration": 0, "total_iterations": iterations,
|
|
"phase": "starting", "message": "Initializing PPO...",
|
|
"metrics": None, "result": None, "error": None,
|
|
})
|
|
|
|
thread = threading.Thread(
|
|
target=_run_ppo_pipeline,
|
|
args=(iterations, episodes, ppo_epochs, batch_size, lr, clip_eps, entropy, opponent, playstyle, load_sup),
|
|
daemon=True,
|
|
)
|
|
thread.start()
|
|
|
|
return {"status": "started", "iterations": iterations}
|
|
|
|
|
|
@app.get("/api/ml/train/ppo/status")
|
|
async def ml_ppo_status():
|
|
"""Get PPO training status."""
|
|
return dict(_ppo_state)
|
|
|
|
|
|
def _run_tournament_pipeline(episodes: int, playstyle: str):
|
|
"""Run tournament in a background thread."""
|
|
global _tournament_state
|
|
try:
|
|
import sys
|
|
project_root = str(Path(__file__).parent)
|
|
if project_root not in sys.path:
|
|
sys.path.insert(0, project_root)
|
|
|
|
_tournament_state["running"] = True
|
|
_tournament_state["error"] = None
|
|
_tournament_state["result"] = None
|
|
_tournament_state["phase"] = "running"
|
|
_tournament_state["message"] = "Running tournament..."
|
|
|
|
from ml.eval.tournament import (
|
|
run_tournament, HeuristicPolicy, RandomPolicy, LearnedPolicy,
|
|
)
|
|
|
|
ckpt_dir = os.path.join(project_root, "ml", "models", "checkpoints")
|
|
policies = {
|
|
"heuristic": HeuristicPolicy(),
|
|
"random": RandomPolicy(),
|
|
}
|
|
|
|
sup_path = os.path.join(ckpt_dir, "best_policy.pt")
|
|
if os.path.exists(sup_path):
|
|
policies["supervised"] = LearnedPolicy(sup_path)
|
|
|
|
ppo_path = os.path.join(ckpt_dir, "best_ppo.pt")
|
|
if os.path.exists(ppo_path):
|
|
policies["ppo"] = LearnedPolicy(ppo_path)
|
|
|
|
result = run_tournament(
|
|
policies=policies,
|
|
episodes_per_matchup=episodes,
|
|
playstyle=playstyle,
|
|
)
|
|
|
|
# Save results
|
|
output_path = os.path.join(ckpt_dir, "tournament_results.json")
|
|
with open(output_path, "w") as f:
|
|
json.dump(result.to_dict(), f, indent=2)
|
|
|
|
_tournament_state["phase"] = "done"
|
|
_tournament_state["running"] = False
|
|
_tournament_state["result"] = result.to_dict()
|
|
_tournament_state["message"] = f"Tournament complete! {result.total_matches} matches"
|
|
|
|
except Exception as e:
|
|
import traceback
|
|
_tournament_state["phase"] = "error"
|
|
_tournament_state["running"] = False
|
|
_tournament_state["error"] = str(e)
|
|
_tournament_state["message"] = f"Tournament failed: {e}"
|
|
traceback.print_exc()
|
|
|
|
|
|
@app.post("/api/ml/tournament")
|
|
async def ml_start_tournament(request: FastAPIRequest):
|
|
"""Start a tournament evaluation."""
|
|
if _tournament_state["running"]:
|
|
raise HTTPException(409, "Tournament already in progress")
|
|
|
|
body = await request.json() if await request.body() else {}
|
|
episodes = body.get("episodes", 50)
|
|
playstyle = body.get("playstyle", "midrange")
|
|
|
|
_tournament_state.update({
|
|
"running": True, "phase": "starting",
|
|
"message": "Initializing tournament...",
|
|
"result": None, "error": None,
|
|
})
|
|
|
|
thread = threading.Thread(
|
|
target=_run_tournament_pipeline,
|
|
args=(episodes, playstyle),
|
|
daemon=True,
|
|
)
|
|
thread.start()
|
|
|
|
return {"status": "started", "episodes": episodes}
|
|
|
|
|
|
@app.get("/api/ml/tournament/status")
|
|
async def ml_tournament_status():
|
|
"""Get tournament status."""
|
|
return dict(_tournament_state)
|
|
|
|
|
|
@app.get("/api/ml/tournament/results")
|
|
async def ml_tournament_results():
|
|
"""Get latest tournament results."""
|
|
project_root = Path(__file__).parent
|
|
results_path = project_root / "ml" / "models" / "checkpoints" / "tournament_results.json"
|
|
if results_path.exists():
|
|
with open(results_path, "r") as f:
|
|
return json.load(f)
|
|
return {"error": "No tournament results found. Run a tournament first."}
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Static File Serving (Web UI) — MUST be after all API routes
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
ui_dir = Path(__file__).parent / "ui"
|
|
if ui_dir.exists():
|
|
app.mount("/", StaticFiles(directory=str(ui_dir), html=True), name="ui")
|
|
|
|
|
|
# ══════════════════════════════════════════════════════════════
|
|
# Startup
|
|
# ══════════════════════════════════════════════════════════════
|
|
|
|
def parse_args():
|
|
parser = argparse.ArgumentParser(description="Commander AI Lab API Server v3")
|
|
parser.add_argument("--forge-jar", default=os.environ.get("FORGE_JAR", ""),
|
|
help="Path to forge-gui-desktop jar-with-dependencies")
|
|
parser.add_argument("--forge-dir", default=os.environ.get("FORGE_DIR", ""),
|
|
help="Forge working directory (contains res/)")
|
|
parser.add_argument("--forge-decks-dir", default=os.environ.get("FORGE_DECKS_DIR", ""),
|
|
help="Path to Commander deck files (default: %%APPDATA%%/Forge/decks/commander)")
|
|
parser.add_argument("--lab-jar", default=os.environ.get("LAB_JAR", ""),
|
|
help="Path to commander-ai-lab.jar (default: auto-detect from target/)")
|
|
parser.add_argument("--port", type=int, default=int(os.environ.get("LAB_PORT", "8080")))
|
|
parser.add_argument("--ximilar-key", default=os.environ.get("XIMILAR_API_KEY", "REDACTED_XIMILAR_KEY"),
|
|
help="Ximilar API key for card scanner (visual AI recognition)")
|
|
return parser.parse_args()
|
|
|
|
|
|
def resolve_lab_jar() -> str:
|
|
target_dir = Path(__file__).parent / "target"
|
|
if target_dir.exists():
|
|
for pattern in [
|
|
"commander-ai-lab-*-jar-with-dependencies.jar",
|
|
"commander-ai-lab-*-shaded.jar",
|
|
"commander-ai-lab-*.jar",
|
|
]:
|
|
jars = sorted(target_dir.glob(pattern))
|
|
jars = [j for j in jars if not j.name.startswith("original-")]
|
|
if jars:
|
|
return str(jars[0])
|
|
return ""
|
|
|
|
|
|
def resolve_forge_decks_dir() -> str:
|
|
if sys.platform == "win32":
|
|
appdata = os.environ.get("APPDATA", "")
|
|
if appdata:
|
|
candidate = os.path.join(appdata, "Forge", "decks", "commander")
|
|
if os.path.isdir(candidate):
|
|
return candidate
|
|
home = Path.home()
|
|
for candidate in [
|
|
home / ".forge" / "decks" / "commander",
|
|
home / "Forge" / "decks" / "commander",
|
|
]:
|
|
if candidate.is_dir():
|
|
return str(candidate)
|
|
return ""
|
|
|
|
|
|
def load_commander_meta():
|
|
"""Load commander meta mapping from file or use builtins."""
|
|
global COMMANDER_META
|
|
meta_path = Path(__file__).parent / "commander-meta.json"
|
|
if meta_path.exists():
|
|
try:
|
|
with open(meta_path, "r", encoding="utf-8") as f:
|
|
COMMANDER_META = json.load(f)
|
|
print(f" Meta: Loaded {len(COMMANDER_META)} commanders from {meta_path}")
|
|
return
|
|
except Exception as e:
|
|
print(f" WARNING: Failed to load commander-meta.json: {e}")
|
|
|
|
COMMANDER_META = BUILTIN_COMMANDERS
|
|
print(f" Meta: {len(COMMANDER_META)} built-in commanders")
|
|
|
|
|
|
def main():
|
|
args = parse_args()
|
|
|
|
CFG.forge_jar = args.forge_jar
|
|
CFG.forge_dir = args.forge_dir
|
|
CFG.forge_decks_dir = args.forge_decks_dir or resolve_forge_decks_dir()
|
|
CFG.lab_jar = args.lab_jar or resolve_lab_jar()
|
|
CFG.port = args.port
|
|
CFG.ximilar_api_key = args.ximilar_key
|
|
|
|
print("╔══════════════════════════════════════════════════╗")
|
|
print("║ Commander AI Lab — API Server v3.0.0 ║")
|
|
print("╚══════════════════════════════════════════════════╝")
|
|
print()
|
|
print(f" Forge JAR: {CFG.forge_jar}")
|
|
print(f" Forge Dir: {CFG.forge_dir}")
|
|
print(f" Decks Dir: {CFG.forge_decks_dir}")
|
|
print(f" Lab JAR: {CFG.lab_jar}")
|
|
print(f" Results Dir: {CFG.results_dir}")
|
|
print(f" Port: {CFG.port}")
|
|
print(f" Ximilar: {'configured' if CFG.ximilar_api_key else 'NOT SET (scanner will fail)'}")
|
|
j17 = get_java17()
|
|
print(f" Java 17: {j17 if j17 != 'java' else 'NOT FOUND (batch sim may fail on Java 25+)'}")
|
|
print(f" LM Studio: http://192.168.0.122:1234")
|
|
|
|
load_commander_meta()
|
|
download_precon_database() # Auto-downloads all 163+ Commander precons on first run
|
|
init_collection_db()
|
|
init_coach_service()
|
|
|
|
# Ximilar API key check
|
|
if not CFG.ximilar_api_key:
|
|
print(" WARNING: --ximilar-key not set. Card scanner will not work.")
|
|
print(" Set via CLI: --ximilar-key YOUR_KEY")
|
|
print(" Or env var: XIMILAR_API_KEY=YOUR_KEY")
|
|
|
|
if not CFG.forge_jar:
|
|
print("WARNING: --forge-jar not set. /api/lab/start will fail.")
|
|
if not CFG.lab_jar:
|
|
print("WARNING: Lab JAR not found. Build with: mvn package -DskipTests")
|
|
if not CFG.forge_decks_dir:
|
|
print("WARNING: Commander decks dir not found. /api/lab/decks will return empty.")
|
|
|
|
print()
|
|
print(f" Starting server on http://localhost:{CFG.port}")
|
|
print(f" Web UI: http://localhost:{CFG.port}/index.html")
|
|
print(f" Collection: http://localhost:{CFG.port}/collection.html")
|
|
print(f" Deck Builder: http://localhost:{CFG.port}/deckbuilder.html")
|
|
print(f" Deck Gen: http://localhost:{CFG.port}/deckgenerator.html")
|
|
print(f" Deck Coach: http://localhost:{CFG.port}/coach.html")
|
|
print(f" ML Training: http://localhost:{CFG.port}/training.html")
|
|
print(f" API docs: http://localhost:{CFG.port}/docs")
|
|
print()
|
|
|
|
import uvicorn
|
|
uvicorn.run(app, host="0.0.0.0", port=CFG.port, log_level="info")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|