rgriffithandClaude Opus 4.6
9eaa41a4ae
- Add user-decks/ directory and USER_DECKS_DIR config for exported decks - Update export-to-sim to write to user-decks/ with static mount in lab_api - Replace import/paste UI with API-backed "My Decks" dropdown in LAN client and AI Lab, fetching from GET /api/lab/decks with source grouping - Fix GET /api/lab/decks to JOIN deck_cards for totalCards count - Fix deckgenerator: add missing DOM elements (dg-strategy-bar, dg-stats-bar, dg-card-groups) inside #dg-results, null guards on render functions, fix setLoading always hiding results - Replace gpt-oss:20b with claude-opus-4-20250514 across all files - Add user-decks/ to _BUILTIN_DECK_DIRS in deck_service.py - Enrich missing type_line from Forge card cache in DB deck path - Collapse import bar behind <details> toggle in AI Lab Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
589 lines
22 KiB
Python
589 lines
22 KiB
Python
"""
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routes/lab.py
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=============
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Batch simulation & lab management endpoints:
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POST /api/lab/start
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POST /api/lab/start-deepseek
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GET /api/lab/status
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GET /api/lab/result
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GET /api/lab/decks
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GET /api/lab/history
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GET /api/lab/profiles
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GET /api/lab/profiles/{name}
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GET /api/lab/analytics/{deck_name}
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GET /api/lab/trends/{deck_name}
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GET /api/lab/log
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GET /api/lab/debug-log
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GET /api/lab/precons
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GET /api/lab/precons/deck
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"""
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from __future__ import annotations
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import glob
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import json
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import math
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import os
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import re
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import threading
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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 fastapi import APIRouter, HTTPException, BackgroundTasks, Request as FastAPIRequest
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from fastapi.responses import JSONResponse
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from models.state import CFG, active_batches, BatchState, AI_PROFILES
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from models.requests import StartRequest
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from models.responses import StartResponse, StatusResponse
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from services.database import _get_db_conn
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from services.deck_service import parse_dck_file, _load_deck_cards_by_name
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from services.forge_runner import (
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build_java_command, run_batch_subprocess, _run_deepseek_batch_thread,
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)
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from services.draw_game_analyzer import summarize_draw_games
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from services.logging import log, log_batch
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router = APIRouter(tags=["lab"])
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def _sanitize_floats(obj):
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"""Replace NaN/Infinity with None so JSONResponse (allow_nan=False) won't crash."""
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if isinstance(obj, float):
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if math.isnan(obj) or math.isinf(obj):
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return None
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return obj
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if isinstance(obj, dict):
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return {k: _sanitize_floats(v) for k, v in obj.items()}
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if isinstance(obj, list):
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return [_sanitize_floats(v) for v in obj]
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return obj
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def _inject_win_type(data: dict, win_type_override: str) -> None:
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"""Stamp winType on every per-game dict that doesn't already have one.
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Called by get_result() after loading the JSON from disk.
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- Uses setdefault so DeepSeek per-game values (already set in forge_runner.py)
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are never overwritten.
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- Also stamps metadata.winType for a quick batch-level summary field.
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- win_type_override comes from state.win_type_override (Java path) or
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defaults to "Combat" if the attribute is absent (DeepSeek / old batches).
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"""
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if not win_type_override or win_type_override == "Combat":
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# Still stamp Combat as default so the field is always present
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win_type_override = "Combat"
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# Batch-level metadata field
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meta = data.get("metadata")
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if isinstance(meta, dict):
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meta.setdefault("winType", win_type_override)
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# Per-game dicts nested under data["decks"][N]["games"][M]
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for deck in data.get("decks", []):
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for game in deck.get("games", []):
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if isinstance(game, dict):
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game.setdefault("winType", win_type_override)
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@router.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) < 2 or len(req.decks) > 4:
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raise HTTPException(400, "2-4 decks required")
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if not all(req.decks):
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raise HTTPException(400, f"All {len(req.decks)} 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 > 32:
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raise HTTPException(400, "threads must be 1-32")
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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"ml-decision-{batch_id}.json")
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state.result_path = output_path
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# Auto-export deckbuilder decks to .dck if not already exported
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resolved_decks = []
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for deck_name in req.decks:
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dck_path = os.path.join(CFG.forge_decks_dir, deck_name + ".dck")
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if os.path.exists(dck_path):
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resolved_decks.append(deck_name)
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else:
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# Check if it's a deckbuilder deck and auto-export
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try:
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conn = _get_db_conn()
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row = conn.execute(
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"SELECT id FROM decks WHERE name = ? LIMIT 1", (deck_name,)
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).fetchone()
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if row:
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from routes.deckbuilder import export_deck_to_sim
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result = await export_deck_to_sim(row["id"])
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resolved_decks.append(result["deckName"])
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log.info(f"Auto-exported deckbuilder deck '{deck_name}' to .dck")
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else:
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resolved_decks.append(deck_name)
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except Exception as e:
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log.warning(f"Failed to auto-export deck '{deck_name}': {e}")
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resolved_decks.append(deck_name)
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background_tasks.add_task(
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run_batch_subprocess,
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state,
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resolved_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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req.aiSimplified,
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req.aiThinkTimeMs,
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req.maxQueueDepth,
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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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@router.get("/api/lab/status", response_model=StatusResponse)
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async def get_status(batchId: Optional[str] = None):
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# If no batchId given, find the most recent active (or last) batch
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state = None
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if batchId:
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state = active_batches.get(batchId)
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else:
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# Return the most recently active batch, or any batch
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for s in active_batches.values():
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if s.running:
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state = s
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break
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if state is None and active_batches:
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state = list(active_batches.values())[-1]
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if not state:
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return StatusResponse(
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batchId="", running=False, completed=0, total=0,
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threads=0, elapsedMs=0, error=None, simsPerSec=0.0,
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run_id="", games_completed=0, total_games=0, current_decks=[],
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)
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elapsed = int((datetime.now() - state.start_time).total_seconds() * 1000)
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deck_names = getattr(state, 'deck_names', []) if hasattr(state, 'deck_names') else []
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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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simsPerSec=state.sims_per_sec,
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# React SPA fields
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run_id=state.batch_id,
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games_completed=state.completed_games,
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total_games=state.total_games,
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current_decks=deck_names,
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)
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@router.get("/api/lab/result")
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async def get_result(batchId: Optional[str] = None):
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state = None
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if batchId:
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state = active_batches.get(batchId)
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else:
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# Find most recent completed batch
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for s in reversed(list(active_batches.values())):
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if not s.running and s.result_path:
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state = s
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break
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if not state:
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raise HTTPException(404, "No batch result available")
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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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try:
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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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except (json.JSONDecodeError, OSError) as e:
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raise HTTPException(500, f"Failed to read result file: {e}")
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# ── Inject winType into every game dict (fix #175) ──────────────────────
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win_type_override = getattr(state, "win_type_override", "Combat")
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_inject_win_type(data, win_type_override)
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# ── Inject draw-game summary (fix #176) ─────────────────────────────────
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# draw_game_snapshots is populated live by forge_runner._run_process_blocking
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# from [DRAW] [PARSE-SUMMARY] lines. summarize_draw_games() aggregates them
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# into a single dict with perDeck breakdowns and a likelyCause field so the
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# dashboard can immediately show which deck is causing timeout loops.
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draw_snapshots = getattr(state, "draw_game_snapshots", [])
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data["drawGames"] = summarize_draw_games(draw_snapshots)
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data = _sanitize_floats(data)
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return JSONResponse(content=data)
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@router.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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"""
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SELECT d.id, d.name, d.commander_name,
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COALESCE(SUM(dc.quantity), 0) AS total_cards
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FROM decks d
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LEFT JOIN deck_cards dc ON dc.deck_id = d.id
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GROUP BY d.id
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ORDER BY d.id DESC
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"""
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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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"totalCards": row["total_cards"],
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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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log.warning(f" WARNING: Failed to load DB decks for /api/lab/decks: {e}")
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return {"decks": decks}
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@router.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("ml-decision-*.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 — 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 — 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 — 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 — ramps, digs for pieces, assembles combos",
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"aggression": 0.2, "cardAdvantage": 0.8, "removalPriority": 0.4,
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"boardPresence": 0.3, "comboPriority": 0.95, "patience": 0.7,
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},
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"midrange": {
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"name": "midrange",
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"description": "Midrange — flexible, strong board presence, value-oriented",
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"aggression": 0.5, "cardAdvantage": 0.6, "removalPriority": 0.6,
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"boardPresence": 0.7, "comboPriority": 0.3, "patience": 0.5,
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},
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}
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@router.get("/api/lab/profiles")
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async def list_profiles():
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return {"profiles": list(AI_PROFILES.values())}
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@router.get("/api/lab/profiles/{name}")
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async def get_profile(name: str):
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profile = AI_PROFILES.get(name.lower())
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if not profile:
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raise HTTPException(404, f"Profile '{name}' not found. Available: {list(AI_PROFILES.keys())}")
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return profile
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@router.get("/api/lab/analytics/{deck_name}")
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async def analyze_deck(deck_name: str):
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decks_dir = CFG.forge_decks_dir
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if not decks_dir or not os.path.isdir(decks_dir):
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raise HTTPException(500, f"Decks directory not found: {decks_dir}")
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deck_path = os.path.join(decks_dir, deck_name + ".dck")
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if not os.path.exists(deck_path):
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for f in os.listdir(decks_dir):
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if f.lower() == deck_name.lower() + ".dck":
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deck_path = os.path.join(decks_dir, f)
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break
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else:
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raise HTTPException(404, f"Deck not found: {deck_name}")
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try:
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analysis = parse_dck_file(deck_path)
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return analysis
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except Exception as e:
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raise HTTPException(500, f"Analysis failed: {str(e)}")
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def parse_dck_file(deck_path: str) -> dict:
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cards = []
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commander = None
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section = "Main"
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deck_name = Path(deck_path).stem
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with open(deck_path, "r", encoding="utf-8") as f:
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for line in f:
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line = line.strip()
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if not line or line.startswith("//"):
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continue
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if line.startswith("[") and line.endswith("]"):
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section = line[1:-1]
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continue
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if line.startswith("Name="):
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deck_name = line[5:].strip()
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continue
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m = re.match(r"^(\d+)\s+(.+?)(?:\|(.+))?$", line)
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if m:
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qty = int(m.group(1))
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name = m.group(2).strip()
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set_code = m.group(3).strip() if m.group(3) else ""
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cards.append({
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"quantity": qty, "name": name, "set": set_code,
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"section": section,
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"is_commander": 1 if section == "Commander" else 0,
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})
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if section == "Commander":
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commander = name
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total = sum(c["quantity"] for c in cards)
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return {
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"deckName": deck_name,
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"commanderName": commander,
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"totalCards": total,
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"cardCount": len(cards),
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"cards": cards[:200],
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}
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@router.get("/api/lab/trends/{deck_name}")
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async def get_deck_trends(deck_name: str):
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results_dir = Path(CFG.results_dir)
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if not results_dir.exists():
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return {"deckName": deck_name, "history": []}
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history = []
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for f in sorted(results_dir.glob("ml-decision-*.json")):
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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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summary = data.get("summary", {})
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meta = data.get("metadata", {})
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per_deck = summary.get("perDeck", [])
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for ds in per_deck:
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if ds.get("deckName", "").lower() == deck_name.lower():
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history.append({
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"batchId": meta.get("batchId"),
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"timestamp": meta.get("timestamp"),
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"winRate": ds.get("winRate", 0),
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"wins": ds.get("wins", 0),
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"losses": ds.get("losses", 0),
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"draws": ds.get("draws", 0),
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"totalGames": meta.get("completedGames", 0),
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})
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break
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except Exception:
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continue
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return {"deckName": deck_name, "history": history}
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@router.get("/api/lab/log")
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async def get_log(batchId: str):
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state = active_batches.get(batchId)
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|
if not state:
|
|
raise HTTPException(404, f"Batch {batchId} not found")
|
|
return {"lines": state.log_lines[-200:]}
|
|
|
|
|
|
@router.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 deck endpoints (used by lan-client ai-bridge.js)
|
|
# ════════════════════════════════════════════════════════════
|
|
|
|
@router.get("/api/lab/precons")
|
|
async def list_precons():
|
|
"""Return precon deck metadata for the LAN client deck selector."""
|
|
precon_dir = Path(CFG.precon_dir) if CFG.precon_dir else None
|
|
if not precon_dir or not precon_dir.is_dir():
|
|
log.warning(f"Precon dir not found or not configured: {CFG.precon_dir!r}")
|
|
return {"precons": []}
|
|
|
|
precons = []
|
|
for f in sorted(precon_dir.glob("*.dck")):
|
|
deck_info = {
|
|
"fileName": f.name,
|
|
"deckName": f.stem,
|
|
"commander": "",
|
|
"colors": [],
|
|
"set": "",
|
|
}
|
|
# Extract commander name from the [Commander] section
|
|
try:
|
|
with open(f, "r", encoding="utf-8") as fh:
|
|
in_commander = False
|
|
for line in fh:
|
|
line = line.strip()
|
|
if line == "[Commander]":
|
|
in_commander = True
|
|
continue
|
|
if line.startswith("[") and line.endswith("]"):
|
|
in_commander = False
|
|
continue
|
|
if in_commander:
|
|
m = re.match(r"^\d+\s+(.+?)(?:\|.+)?$", line)
|
|
if m:
|
|
deck_info["commander"] = m.group(1).strip()
|
|
break
|
|
except Exception as exc:
|
|
log.debug(f"Could not parse commander from {f.name}: {exc}")
|
|
precons.append(deck_info)
|
|
|
|
return {"precons": precons}
|
|
|
|
|
|
@router.get("/api/lab/precons/deck")
|
|
async def get_precon_deck(fileName: str):
|
|
"""Return the full card list for a specific precon .dck file."""
|
|
precon_dir = Path(CFG.precon_dir) if CFG.precon_dir else None
|
|
if not precon_dir or not precon_dir.is_dir():
|
|
raise HTTPException(404, f"Precon directory not configured or missing: {CFG.precon_dir!r}")
|
|
|
|
# Sanitize — prevent path traversal
|
|
safe_name = Path(fileName).name
|
|
if not safe_name.endswith(".dck"):
|
|
raise HTTPException(400, "fileName must end with .dck")
|
|
deck_path = precon_dir / safe_name
|
|
|
|
if not deck_path.exists():
|
|
raise HTTPException(404, f"Precon deck not found: {safe_name}")
|
|
|
|
try:
|
|
deck_data = parse_dck_file(str(deck_path))
|
|
return deck_data
|
|
except Exception as e:
|
|
raise HTTPException(500, f"Failed to parse deck: {e}")
|
|
|
|
|
|
@router.post('/api/lab/start-deepseek')
|
|
async def start_batch_deepseek(request: FastAPIRequest, background_tasks: BackgroundTasks):
|
|
"""Start a batch simulation using the Python sim engine + DeepSeek LLM opponent."""
|
|
body = await request.json()
|
|
decks = body.get('decks', [])
|
|
num_games = body.get('numGames', 30)
|
|
# Note: threads not applicable for Python sim (single-threaded LLM calls)
|
|
|
|
if not decks or len(decks) < 1:
|
|
raise HTTPException(400, 'At least 1 deck required')
|
|
if num_games < 1 or num_games > 500:
|
|
raise HTTPException(400, 'numGames must be 1-500')
|
|
|
|
# Filter empty deck slots
|
|
decks = [d for d in decks if d]
|
|
if not decks:
|
|
raise HTTPException(400, 'No valid decks provided')
|
|
|
|
batch_id = str(uuid.uuid4())[:12]
|
|
state = BatchState(batch_id, num_games, 1)
|
|
active_batches[batch_id] = state
|
|
|
|
os.makedirs(CFG.results_dir, exist_ok=True)
|
|
output_path = os.path.join(CFG.results_dir, f'batch-{batch_id}.json')
|
|
state.result_path = output_path
|
|
|
|
# Use threading instead of BackgroundTasks to avoid async issues with DB
|
|
t = threading.Thread(
|
|
target=_run_deepseek_batch_thread,
|
|
args=(state, decks, num_games, output_path),
|
|
daemon=True,
|
|
)
|
|
t.start()
|
|
|
|
return JSONResponse({
|
|
'batchId': batch_id,
|
|
'status': 'started',
|
|
'message': f'Running {num_games} games across {len(decks)} decks with DeepSeek AI',
|
|
'engine': 'deepseek',
|
|
})
|