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Author SHA1 Message Date
ClaudeandClaude Opus 4.6 77ded23aef fix: Phase 1 critical sim fixes — BUG-01, BUG-02, BUG-05 (#82, #84)
BUG-01: Unknown cards no longer default to "Creature". enrich_card() now
sets type_line="Unknown" for cards without Scryfall data. Added
can_attack_or_block() method to Card — only cards with "Creature" in
type_line can participate in combat. Engine combat uses
can_attack_or_block() instead of is_creature().

BUG-02: Implemented get_legal_moves() and apply_move() in
CommanderGameState with actual game logic — land drops, spell casting
(with mana checking), commander casting from command zone, attack
declarations, and instant-speed responses. Replaces the former
pass-only stubs.

BUG-05: Instants and sorceries now go to graveyard after resolution
instead of being placed on the battlefield as permanents. Added
is_permanent(), is_instant(), is_sorcery() helpers to Card model.

Includes 48 new regression tests covering all three bugs plus
integration tests verifying artifacts/unknown cards never appear in
combat. Fixed existing test_engine.py to match current engine API.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 17:00:11 +00:00
KoalaTrapLord c528fdb0b1 feat: add Scryfall card image hover preview on coach suggested cuts/adds 2026-03-22 12:30:00 -04:00
KoalaTrapLord e4bc3c5ce6 fix: use project root not routes/ for results_dir and reports_dir in coach 2026-03-22 12:07:56 -04:00
KoalaTrapLord d3c9e293d8 fix: mutate COMMANDER_META in-place so cross-module refs stay synced 2026-03-22 12:01:53 -04:00
ClaudeandClaude Opus 4.6 978fb12969 fix: early return in _load_deck_cards_by_name when deck not found in DB
Fixes UnboundLocalError crash when deck_row is None by returning an
empty list instead of falling through to a query with an unbound deck_id.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-22 07:25:39 +00:00
KoalaTrapLord 8c2a8cf1c1 fix: align indentation on line 108 to match surrounding block 2026-03-22 02:38:28 -04:00
KoalaTrapLord fd18d98b9b fix: correct indentation on line 108 in routes/lab.py 2026-03-22 02:35:30 -04:00
KoalaTrapLord 5c21564c78 fix: correct indentation on line 786 in deckbuilder.py 2026-03-22 02:02:22 -04:00
KoalaTrapLord e35df6fe36 fix: auto-export deckbuilder decks to .dck before batch simulation 2026-03-22 01:41:55 -04:00
KoalaTrapLord 7760c589b9 fix: add Deck Type=Commander metadata to .dck export 2026-03-22 01:39:17 -04:00
KoalaTrapLord 7fa262d963 fix(ui): account for nav-height in collection max-height calcs 2026-03-22 00:52:54 -04:00
KoalaTrapLord cffd8d8109 fix: add creature damage accumulation to combat engine
Previously _resolve_combat() used a binary power-vs-toughness kill check:
creatures only died if a single source had power >= their toughness in one
swing. This meant a 2/2 wouldn't die to two 1/1 tokens blocking it, and
repeated smaller hits across combats never accumulated.

Changes:
- models.py: add damage_marked field to Card (default 0)
- engine.py: accumulate damage via damage_marked += power instead of
  binary a_pow >= toughness checks in _resolve_combat()
- engine.py: clear damage_marked = 0 in untap phase (MTG rule 514.2)

This enables multi-blocker lethality, incremental chip damage within a
combat step, and proper creature death-by-accumulated-damage interactions.
2026-03-22 04:52:28 +00:00
KoalaTrapLord 473c453abf fix(ui): add #coll-card-preview CSS for hover image preview 2026-03-22 00:34:54 -04:00
KoalaTrapLord 54080eec37 Merge pull request #77 from KoalaTrapLord/feat/overnight-batch-runner
feat: overnight batch sim runner for ML data generation
2026-03-21 22:31:14 -04:00
rgriffith 5cb4bc3316 feat: add overnight batch sim runner for ML data generation
Script to run sequential batch sims across 10 precon decks with
rotating playstyles (midrange, aggro, control, combo). Generates
ML decision data for training.

- 210 unique 4-player matchups from 10 precon decks
- Cycles through playstyles each batch
- Polls for completion, handles errors gracefully
- Ensures ML logging is enabled before starting
- Prints summary with new decision count at end

Usage: python scripts/overnight-batch.py --hours 8
2026-03-22 02:31:05 +00:00
KoalaTrapLord 099e40d7c5 fix(ui): rewrite CollCardPreview multi-line, use imageUrl instead of scryfallId 2026-03-21 22:19:51 -04:00
KoalaTrapLord 57c4d6a26c Merge pull request #76 from KoalaTrapLord/fix/distillation-results-dir
fix: distillation loop uses wrong results_dir path
2026-03-21 22:18:34 -04:00
rgriffith ea3d488a41 fix: distillation loop uses wrong results_dir path
The distillation pipeline was looking for JSONL decision files in
data/results/ but they are stored in results/ (matching CFG.results_dir).

This caused all generations to fail at Step 1 with:
  'No ml-decisions-*.jsonl files found in data/results'

Fixed:
- routes/ml.py: results_dir and history_dir now use 'results/' not 'data/results/'
- ml/training/distillation_loop.py: updated DistillationConfig defaults to match
- History endpoint paths updated to match
2026-03-22 02:18:23 +00:00
KoalaTrapLord 83ee5ba9cc feat(ui): enable card image hover preview on collection table 2026-03-21 22:10:28 -04:00
KoalaTrapLord 5b532787af feat(ui): add card hover preview element to collection page 2026-03-21 22:05:00 -04:00
KoalaTrapLord 1b88cd362f tweak: reduce card preview hover delay to 225ms 2026-03-21 22:01:28 -04:00
KoalaTrapLord 834f8d9aad fix: Meta Commander picker — lazy-load, live search, debounce
- showMetaPicker() now guards for no backend with clear message,
  and lazy-loads commanders on first open (fixes race condition
  with Promise.all where loadMetaCommanders ran before detectBackend)
- filterMetaCommanders() hits live /api/lab/meta/search endpoint
  when backend is connected, falls back to local array filter
- Search input debounced at 250ms to avoid hammering API
2026-03-22 01:57:12 +00:00
KoalaTrapLord a7bc98c227 feat(ui): add 450ms hover delay to card preview popup
- Add _hoverTimer and HOVER_DELAY (450ms) properties to CardPreview
- mouseenter starts a delay timer before showing the popup
- mousemove only repositions if popup is already visible
- mouseleave clears the timer and hides immediately
- hide() now also clears any pending timer
2026-03-21 21:52:11 -04:00
KoalaTrapLord 3e08d2bed1 feat(ui): add card image hover preview element to deckbuilder
Add #deck-card-preview div with img element that the existing
CardPreview JS object references. This was missing from the HTML.
2026-03-21 21:46:47 -04:00
KoalaTrapLord e4730ad8c7 Merge pull request #74 from KoalaTrapLord/phase6-elo-tracking
Phase 6: ELO Tracking & Model Tournament
2026-03-21 20:31:22 -04:00
rgriffith e843528d8b Phase 6: ELO Tracking & Model Tournament (#70)
- Create ml/eval/elo_tracker.py:
  - EloTracker class with standard ELO formula (K=32, start=1200)
  - EloResult dataclass for tournament output
  - EloHistory class for JSON persistence (data/elo_history.json)
  - run_elo_tournament(): round-robin ELO-rated matches using
    existing run_match() from tournament.py
  - run_generation_tournament(): discovers gen-*/best_policy.pt
    checkpoints and runs cross-generation ELO tournament
  - CLI entry point: python -m ml.eval.elo_tracker

- Add ELO API endpoints to routes/ml.py:
  - POST /api/ml/elo/tournament — start background ELO tournament
  - GET  /api/ml/elo/tournament/status — poll progress
  - GET  /api/ml/elo/history — load ELO history from disk

- Integrate ELO convergence in distillation_loop.py:
  - New config fields: elo_convergence_enabled (default False),
    elo_convergence_threshold (20.0), elo_tournament_episodes (30)
  - New field: GenerationRecord.elo_rating
  - _run_elo_mini_tournament() runs after quality gate pass
  - _check_convergence() checks ELO delta when enabled

- Add ELO UI to distillation page:
  - ELO Ratings panel with canvas multi-line chart showing per-model
    ELO progression across generations
  - Run Tournament button with progress indicator
  - ELO leaderboard table with rank, rating, and visual bars
  - Responsive chart resize handling

Closes #70
2026-03-22 00:31:02 +00:00
KoalaTrapLord dd2e945214 Merge pull request #73 from KoalaTrapLord/phase5-distillation-ui
Phase 5: Distillation UI Integration & Monitoring
2026-03-21 20:19:04 -04:00
rgriffith 106ec716a5 Phase 5: Distillation UI Integration & Monitoring (#69)
- Add distillation API endpoints to routes/ml.py:
  - POST /api/ml/distill/start — start closed-loop distillation pipeline
  - GET  /api/ml/distill/status — poll loop status and generation data
  - POST /api/ml/distill/stop — graceful stop after current generation
  - GET  /api/ml/distill/history — load persisted generation history

- Add 'Distill' nav entry in ui/nav.js with loop icon

- Create ui/distillation.html:
  - Status overview cards (status, generation, best win rate, gate passes)
  - Control panel with hyperparameter inputs for supervised, PPO, and
    quality gate settings
  - Start/Stop buttons with progress bar and phase badge
  - Win rate trend chart (canvas-based, no dependencies)
  - Data composition stacked bar chart (Forge vs PPO per generation)
  - Generation history table with status, metrics, and gate results

- Create ui/distillation.js:
  - Polling loop for real-time status updates during distillation
  - Canvas chart rendering for win rate trends and data composition
  - History table rendering with color-coded status tags
  - Responsive resize handling for charts

- Create ui/distillation.css:
  - Page-specific styles following training.css patterns
  - Chart container, history table, and responsive grid styles

Closes #69
2026-03-22 00:18:43 +00:00
KoalaTrapLord 9bec84e997 Merge pull request #72 from KoalaTrapLord/phase4-distillation-loop
feat: Phase 4 — Distillation Loop Orchestrator
2026-03-21 20:11:31 -04:00
rgriffith ae00dd47e2 feat: Phase 4 — Distillation Loop Orchestrator (#68)
Implements the closed-loop distillation pipeline that automates:
  1. Supervised train on current dataset (Forge + PPO data)
  2. PPO self-play using supervised model as starting policy
  3. Export winning PPO decisions to JSONL
  4. Quality gate check (win rate threshold)
  5. If passed, merge into dataset and repeat
  6. If failed, discard batch, adjust hyperparameters, retry

New files:
  - ml/training/distillation_loop.py — DistillationLoop orchestrator,
    DistillationConfig, GenerationRecord, CLI entry point

Updated files:
  - ml/config/scope.py — DistillationDefaults dataclass with all
    default hyperparameters for the pipeline

Features:
  - Generation tagging: data and models tagged with gen-NNN
  - Convergence detection: stops when win rate plateaus over N gens
  - Automatic retry with LR reduction + entropy boost on gate failure
  - Per-generation history saved to JSON for observability
  - Full CLI with all tunable params
  - progress_callback for UI integration (Phase 5 ready)

Closes #68
2026-03-22 00:11:14 +00:00
KoalaTrapLord dc66ed78e5 fix(lab): remove shadowed _ml_logging_enabled redeclaration (closes #64) 2026-03-22 00:10:12 +00:00
KoalaTrapLord 0f6faa5fe4 feat(ml): integrate DecisionExporter into self-play rollouts (#65) 2026-03-22 00:06:55 +00:00
KoalaTrapLord 1164285a5b docs: add Phase 1 self-play integration checklist (#65) 2026-03-21 19:51:27 -04:00
KoalaTrapLord d9ee09b848 docs: update .env.example to match dual-model config (gpt-oss:20b + deepseek-r1:14b) 2026-03-21 19:47:17 -04:00
KoalaTrapLord d5c6746503 docs: add BRAIN_* and VALIDATOR_* vars to .env.example (#71) 2026-03-21 19:41:47 -04:00
KoalaTrapLord 1b95659f14 fix: add LAN origins (192.168.0.240) to default CORS allowlist (#71) 2026-03-21 19:41:05 -04:00
KoalaTrapLord 871934d101 fix: raise VALIDATOR_TIMEOUT default from 60s to 120s (#71) 2026-03-21 19:40:19 -04:00
KoalaTrapLord 11978736a1 fix: raise BRAIN_TIMEOUT default from 30s to 120s (#71) 2026-03-21 19:39:29 -04:00
KoalaTrapLord 8ed3fbc627 feat(ml): add quality gate & validation module (#67)
Phase 3 of closed-loop distillation pipeline.

- QualityGateConfig with configurable thresholds
- create_forge_holdout() for Forge-only eval split (12% by game_id)
- check_accuracy_gate() rejects PPO batch if Forge eval accuracy drops
- check_win_rate_gate() blocks export below configurable win rate
- compute_quality_metrics() logs action entropy, reward distribution
- QualityGate orchestrator class with evaluate_ppo_batch()
2026-03-21 19:34:37 -04:00
KoalaTrapLord 4d50449145 feat(ml): add source awareness to dataset builder (#66)
Phase 2 of closed-loop distillation pipeline.

- Scan both ml-decisions-sim-*.jsonl (Forge) and ml-decisions-ppo-*.jsonl (PPO)
- Add source_weights config for configurable sampling ratios
- Add min_reward_threshold filter for PPO data quality
- Tag each sample with source for downstream analysis
- New CLI args: --forge-weight, --ppo-weight, --min-reward
- NPZ output now includes 'sources' array
2026-03-21 19:28:22 -04:00
KoalaTrapLord f986d236ab Reduce coach prompt limits and raise LLM timeout for R1 compatibility 2026-03-21 19:08:24 -04:00
KoalaTrapLord 3957285a2e feat(ml): add PPO DecisionExporter for closed-loop distillation (#65)
Phase 1 of closed-loop distillation pipeline.

Adds DecisionExporter class that captures PPO self-play decisions
as JSONL files compatible with the Forge DecisionSnapshot schema.
Includes PPO-specific metadata fields (source, model_version,
reward, episode_return) and configurable win-only filtering.
2026-03-21 18:06:45 -04:00
KoalaTrapLord 3cca49c5a9 docs: add closed-loop iterative distillation implementation roadmap 2026-03-21 17:55:18 -04:00
KoalaTrapLord f290523ce1 fix(ml): replace undefined 'log' with 'logger' in labeler.py 2026-03-21 15:47:47 -04:00
KoalaTrapLord 448cec128c feat(ui): add 12 and 16 thread options to batch runner dropdown 2026-03-21 15:22:20 -04:00
KoalaTrapLord 6612f3d213 fix: use correct key best_val_acc in training completion message 2026-03-21 15:21:35 -04:00
KoalaTrapLord 06f007e605 fix: invert guard in _load_deck_cards_by_name — was if not deck_row (crash on None[0])
The guard condition was inverted: `if not deck_row:` entered the query
block when no deck was found, causing `deck_row[0]` to crash with
'NoneType' object is not subscriptable. Flipped to `if deck_row:`
so the query runs only when the deck exists.
2026-03-21 15:11:08 -04:00
KoalaTrapLord 1397f93b91 feat(ml): wire ML decision flush in _finish_sim for all sim threads 2026-03-21 14:30:47 -04:00
KoalaTrapLord f86a4af86f feat(ml): add ML decision logging to base GameEngine
- Add ml_log param, ml_decisions list, flush_ml_decisions() to GameEngine
- Capture ML snapshots at each player turn in run_n()
- Stamp game_outcome (win/loss per seat) on all decisions
- Add _capture_ml_snapshot() matching DeepSeekGameEngine format
- Add game_id and archetype params to run_n() for ML tracking
- Import logging, uuid; add logger
2026-03-21 13:54:33 -04:00
KoalaTrapLord 0e99f814fc chore: remove unused React scaffold frontend/ 2026-03-21 13:45:08 -04:00
129 changed files with 7314 additions and 19669 deletions

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+18 -1
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@@ -1,4 +1,4 @@
# Commander AI Lab — Environment Variables
# Commander AI Lab - Environment Variables
# Copy this file to .env and fill in your API keys.
# .env is gitignored and will NOT be committed.
@@ -12,4 +12,21 @@ PPLX_API_KEY=your-perplexity-api-key-here
# CORS allowed origins (comma-separated)
# Default: http://localhost:5173,http://localhost:8080
# Add your LAN IP if accessing from another machine on your network
ALLOWED_ORIGINS=http://localhost:5173,http://localhost:8080
# ── Dual-Model AI Brain ─────────────────────────────────────
# Primary brain: GPT-OSS 20B (turn planner / decision maker)
BRAIN_API_BASE=http://localhost:11434
BRAIN_MODEL=gpt-oss:20b
BRAIN_TEMPERATURE=0.3
BRAIN_MAX_TOKENS=1024
BRAIN_TIMEOUT=120.0
# Validator brain: DeepSeek-R1-Distill-Qwen-14B (legality + explanation)
VALIDATOR_ENABLED=true
VALIDATOR_API_BASE=http://localhost:11434
VALIDATOR_MODEL=deepseek-r1:14b
VALIDATOR_TEMPERATURE=0.0
VALIDATOR_MAX_TOKENS=2048
VALIDATOR_TIMEOUT=120.0
+4 -4
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@@ -15,7 +15,7 @@ LAB_ROOT = Path(os.environ.get("COMMANDER_LAB_ROOT", Path(__file__).parent.paren
# ── Ollama (OpenAI-compatible API) ──────────────────────
LLM_URL = os.environ.get("LLM_URL", "http://192.168.0.240:11434/v1")
LLM_MODEL = os.environ.get("LLM_MODEL", "gpt-oss:20b")
LLM_TIMEOUT = int(os.environ.get("LLM_TIMEOUT", "120")) # seconds
LLM_TIMEOUT = int(os.environ.get("LLM_TIMEOUT", "360")) # seconds
LLM_MAX_RETRIES = 3
# ── Embeddings ─────────────────────────────────────────────
@@ -28,9 +28,9 @@ DECK_REPORTS_DIR = LAB_ROOT / "deck-reports"
COACH_SESSIONS_DIR = LAB_ROOT / "coach-sessions"
# ── Prompt Limits ──────────────────────────────────────────
MAX_PROMPT_TOKENS = 4096
MAX_CANDIDATES_PER_UNDERPERFORMER = 10
MAX_UNDERPERFORMERS = 8
MAX_PROMPT_TOKENS = 2048
MAX_CANDIDATES_PER_UNDERPERFORMER = 5
MAX_UNDERPERFORMERS = 4
UNDERPERFORMER_IMPACT_THRESHOLD = -0.05 # impactScore below this = underperformer
# ── LLM Generation Settings (Coach — Ollama) ──────────────
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# Closed-Loop Iterative Distillation — Implementation Roadmap
> **Goal:** Create a feedback loop where the PPO self-play agent exports its game decisions
> as JSONL files, which the supervised training pipeline incorporates alongside Forge
> heuristic data. The supervised baseline gradually improves as the RL agent discovers
> better play patterns — the RL agent teaches the supervised model.
---
## Phase 1 — PPO Decision Exporter
**Goal:** PPO self-play writes decisions in the same JSONL format as Forge batch sims.
- [ ] Add a `DecisionExporter` class in `ml/training/self_play.py` that captures each
(state, action, reward, game_context) during PPO rollouts
- [ ] Write to `data/results/ml-decisions-ppo-{batch_id}.jsonl` using the exact same
schema as the Forge `DecisionSnapshot` files
- [ ] Include metadata fields to distinguish PPO-generated data:
- `"source": "ppo"`
- `"model_version"`
- `"reward"`
- `"episode_return"`
- [ ] Only export decisions from **winning** games initially (higher signal-to-noise)
**Files touched:** `ml/training/self_play.py`, new `ml/training/decision_exporter.py`
---
## Phase 2 — Dataset Builder Source Awareness
**Goal:** `dataset_builder.py` can ingest both Forge and PPO decision files with
configurable mixing.
- [ ] Update `build_dataset()` to scan for both `ml-decisions-sim-*.jsonl` (Forge) and
`ml-decisions-ppo-*.jsonl` (PPO) files
- [ ] Add a `source_weights` config param — e.g., `{"forge": 1.0, "ppo": 0.5}` — to
control sampling ratios so PPO data doesn't overwhelm the Forge baseline early on
- [ ] Add a `min_reward_threshold` filter for PPO data — only include decisions from
games above a certain reward score
- [ ] Tag each sample with its source for downstream analysis
**Files touched:** `ml/data/dataset_builder.py`, `ml/config/scope.py`
---
## Phase 3 — Quality Gate & Validation
**Goal:** Prevent bad PPO data from degrading the supervised model.
- [ ] Add a validation split in `dataset_builder.py` (hold out 10-15% of Forge data as
a fixed eval set)
- [ ] After each supervised training run, evaluate on the held-out Forge set — if
accuracy drops below a threshold compared to the previous model, reject the PPO
data batch
- [ ] Track win rate of the PPO agent — only export decisions once the PPO model exceeds
a configurable win rate (e.g., >30% in 4-player pods, above the 25% random baseline)
- [ ] Log data quality metrics: action distribution entropy, reward distribution of
exported games
**Files touched:** `ml/training/trainer.py`, `ml/eval/`, new `ml/data/quality_gate.py`
---
## Phase 4 — Distillation Loop Orchestrator
**Goal:** Automate the full cycle: supervised train -> PPO self-play -> export -> retrain.
- [ ] New `ml/training/distillation_loop.py` that orchestrates:
1. Supervised train on current dataset (Forge + any existing PPO data)
2. Run N episodes of PPO self-play using the new supervised model as starting policy
3. Export winning PPO decisions to JSONL
4. Quality gate check
5. If passed, merge into dataset and go to step 1
6. If failed, discard PPO batch, adjust hyperparameters, retry
- [ ] Add `max_iterations` and `convergence_check` (stop if win rate plateaus across
iterations)
- [ ] Each iteration is a "generation" — tag data and models with generation number
**Files touched:** new `ml/training/distillation_loop.py`, `ml/config/scope.py`
---
## Phase 5 — UI Integration & Monitoring
**Goal:** Expose the distillation loop in the Commander AI Lab web UI.
- [ ] Add a "Distillation" tab or section in `ui/ai-lab.js` showing:
- Current generation number
- Per-generation win rate trend chart
- Data composition pie chart (% Forge vs % PPO per generation)
- Start / stop / pause controls for the loop
- [ ] API endpoints in `routes/ml.py`:
- `POST /api/ml/distill/start`
- `GET /api/ml/distill/status`
- `POST /api/ml/distill/stop`
- [ ] History of each generation's metrics stored as JSON for the trends view
**Files touched:** `routes/ml.py`, `ui/ai-lab.js`, `ui/ai-lab.css`
---
## Phase 6 — Advanced: ELO Tracking & Model Tournament
**Goal:** Quantify improvement across generations.
- [ ] Pit each generation's model against previous generations and the Forge heuristic
in batch sims
- [ ] Compute ELO ratings per generation
- [ ] Store in `data/elo_history.json` and visualize in the UI as a line chart
- [ ] Use ELO delta as a convergence signal — stop the loop when ELO gain per generation
drops below a threshold
**Files touched:** new `ml/eval/elo_tracker.py`, `routes/ml.py`, `ui/ai-lab.js`
---
## Priority
| Phase | Priority | Description |
|-------|----------|-------------|
| 1 | **Critical** | PPO decision export — foundation for everything |
| 2 | **Critical** | Dataset builder ingests both sources |
| 3 | **Critical** | Quality gate prevents model regression |
| 4 | High | Automation of the full loop |
| 5 | Medium | UI visibility and controls |
| 6 | Low | ELO tracking and tournament system |
> **Phases 1-3** are the core — get those working and you have a functional closed loop.
> **Phase 4** automates it. **Phases 5-6** are polish and observability.
@@ -0,0 +1,93 @@
# Phase 1 — Self-Play Integration Checklist
> **Issue:** #65 — PPO Decision Exporter
> **Ref:** `docs/CLOSED-LOOP-DISTILLATION.md`
> **Status:** In Progress
---
## Completed
- [x] Create `ml/training/decision_exporter.py` with `DecisionExporter` class
- [x] `ExporterConfig` dataclass (output_dir, only_wins, model_version, min_episode_steps)
- [x] `build_decision_record()` — converts PPO step data into Forge-compatible JSONL format
- [x] `DecisionExporter.begin_episode()` / `record_step()` / `end_episode()` / `flush()` lifecycle
- [x] Write to `data/results/ml-decisions-ppo-{batch_id}.jsonl`
- [x] Include PPO metadata fields: `source`, `model_version`, `reward`, `episode_return`
- [x] Win-only filtering (only export decisions from winning games)
- [x] Short-episode gating (`min_episode_steps` threshold)
- [x] `_macro_action_to_forge_type()` mapping (MacroAction enum → Forge action type strings)
- [x] Export stats tracking (`stats` property)
---
## Remaining — Integrate into `ml/training/self_play.py`
### Import
- [ ] Add import: `from ml.training.decision_exporter import DecisionExporter`
### Modify `run_self_play_episode()`
- [ ] Add `exporter: DecisionExporter = None` parameter to function signature
- [ ] After each `trajectory.append(...)` block (3 locations), add:
```python
if exporter is not None:
exporter.record_step(
game_state_snapshot=prev_snapshot,
action_idx=action_idx,
reward=reward,
)
```
### Modify `collect_rollouts()`
- [ ] Add `exporter: DecisionExporter = None` parameter to function signature
- [ ] Before each episode, call:
```python
if exporter is not None:
exporter.begin_episode(agent_seat=agent_seat, playstyle=playstyle)
```
- [ ] Pass `exporter=exporter` to `run_self_play_episode()`
- [ ] After outcome tracking, call:
```python
if exporter is not None:
won = trajectory and trajectory[-1]["done"] and trajectory[-1]["reward"] > 0.5
ep_return = sum(s["reward"] for s in trajectory)
exporter.end_episode(won=won, episode_return=ep_return)
```
### Commit
- [ ] `git add ml/training/self_play.py`
- [ ] `git commit -m "feat(ml): integrate DecisionExporter into self-play rollouts (#65)"`
- [ ] `git push origin main`
---
## Integration Pattern
```
collect_rollouts(exporter=exporter)
└─ for each episode:
├─ exporter.begin_episode(seat, playstyle)
├─ run_self_play_episode(..., exporter=exporter)
│ └─ for each step:
│ ├─ trajectory.append(step_data)
│ └─ exporter.record_step(snapshot, action, reward)
└─ exporter.end_episode(won, episode_return)
# Caller does: exporter.flush()
```
---
## Terminal Commands
```bash
cd commander-ai-lab
git pull origin main
# Make edits to ml/training/self_play.py per checklist above
git add ml/training/self_play.py
git commit -m "feat(ml): integrate DecisionExporter into self-play rollouts (#65)"
git push origin main
```
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@@ -1,24 +0,0 @@
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?
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@@ -1,24 +0,0 @@
# Logs
logs
*.log
npm-debug.log*
yarn-debug.log*
yarn-error.log*
pnpm-debug.log*
lerna-debug.log*
node_modules
dist
dist-ssr
*.local
# Editor directories and files
.vscode/*
!.vscode/extensions.json
.idea
.DS_Store
*.suo
*.ntvs*
*.njsproj
*.sln
*.sw?
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# React + TypeScript + Vite
This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
Currently, two official plugins are available:
- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh
- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh
## React Compiler
The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
## Expanding the ESLint configuration
If you are developing a production application, we recommend updating the configuration to enable type-aware lint rules:
```js
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
// Other configs...
// Remove tseslint.configs.recommended and replace with this
tseslint.configs.recommendedTypeChecked,
// Alternatively, use this for stricter rules
tseslint.configs.strictTypeChecked,
// Optionally, add this for stylistic rules
tseslint.configs.stylisticTypeChecked,
// Other configs...
],
languageOptions: {
parserOptions: {
project: ['./tsconfig.node.json', './tsconfig.app.json'],
tsconfigRootDir: import.meta.dirname,
},
// other options...
},
},
])
```
You can also install [eslint-plugin-react-x](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-x) and [eslint-plugin-react-dom](https://github.com/Rel1cx/eslint-react/tree/main/packages/plugins/eslint-plugin-react-dom) for React-specific lint rules:
```js
// eslint.config.js
import reactX from 'eslint-plugin-react-x'
import reactDom from 'eslint-plugin-react-dom'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
// Other configs...
// Enable lint rules for React
reactX.configs['recommended-typescript'],
// Enable lint rules for React DOM
reactDom.configs.recommended,
],
languageOptions: {
parserOptions: {
project: ['./tsconfig.node.json', './tsconfig.app.json'],
tsconfigRootDir: import.meta.dirname,
},
// other options...
},
},
])
```
@@ -1,23 +0,0 @@
import js from '@eslint/js'
import globals from 'globals'
import reactHooks from 'eslint-plugin-react-hooks'
import reactRefresh from 'eslint-plugin-react-refresh'
import tseslint from 'typescript-eslint'
import { defineConfig, globalIgnores } from 'eslint/config'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
js.configs.recommended,
tseslint.configs.recommended,
reactHooks.configs.flat.recommended,
reactRefresh.configs.vite,
],
languageOptions: {
ecmaVersion: 2020,
globals: globals.browser,
},
},
])
-13
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@@ -1,13 +0,0 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/vite.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>commander-ai-lab-ui</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>
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-35
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@@ -1,35 +0,0 @@
{
"name": "commander-ai-lab-ui",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "tsc -b && vite build",
"lint": "eslint .",
"preview": "vite preview"
},
"dependencies": {
"@tailwindcss/vite": "^4.2.1",
"lucide-react": "^0.577.0",
"react": "^19.2.0",
"react-dom": "^19.2.0",
"react-router-dom": "^7.13.1",
"recharts": "^3.8.0",
"tailwindcss": "^4.2.1"
},
"devDependencies": {
"@eslint/js": "^9.39.1",
"@types/node": "^24.10.1",
"@types/react": "^19.2.7",
"@types/react-dom": "^19.2.3",
"@vitejs/plugin-react": "^5.1.1",
"eslint": "^9.39.1",
"eslint-plugin-react-hooks": "^7.0.1",
"eslint-plugin-react-refresh": "^0.4.24",
"globals": "^16.5.0",
"typescript": "~5.9.3",
"typescript-eslint": "^8.48.0",
"vite": "^7.3.1"
}
}
-27
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@@ -1,27 +0,0 @@
import { BrowserRouter, Routes, Route } from 'react-router-dom'
import { PageLayout } from './components/layout/PageLayout'
import { BatchSimPage } from './pages/BatchSimPage'
import { CollectionPage } from './pages/CollectionPage'
import { DecksPage } from './pages/DecksPage'
import { AutoGenPage } from './pages/AutoGenPage'
import { SimulatorPage } from './pages/SimulatorPage'
import { CoachPage } from './pages/CoachPage'
import { TrainingPage } from './pages/TrainingPage'
export default function App() {
return (
<BrowserRouter>
<PageLayout>
<Routes>
<Route path="/" element={<BatchSimPage />} />
<Route path="/collection" element={<CollectionPage />} />
<Route path="/decks" element={<DecksPage />} />
<Route path="/autogen" element={<AutoGenPage />} />
<Route path="/simulator" element={<SimulatorPage />} />
<Route path="/coach" element={<CoachPage />} />
<Route path="/training" element={<TrainingPage />} />
</Routes>
</PageLayout>
</BrowserRouter>
)
}
@@ -1,82 +0,0 @@
// ═══════════════════════════════════════════════════════════
// Base API client — all fetch calls go through here
// ═══════════════════════════════════════════════════════════
const BASE = '' // same origin; Vite proxy handles /api in dev
export class ApiError extends Error {
status: number
constructor(status: number, message: string) {
super(message)
this.name = 'ApiError'
this.status = status
}
}
async function handleResponse<T>(res: Response): Promise<T> {
if (!res.ok) {
const body = await res.text()
let message = `HTTP ${res.status}`
try {
const json = JSON.parse(body)
message = json.detail || json.error || message
} catch {
if (body) message = body
}
throw new ApiError(res.status, message)
}
// Handle 204 No Content
if (res.status === 204) return undefined as T
return res.json()
}
export async function get<T>(path: string, params?: Record<string, string | number | boolean | undefined>): Promise<T> {
const url = new URL(BASE + path, window.location.origin)
if (params) {
Object.entries(params).forEach(([k, v]) => {
if (v !== undefined && v !== '') url.searchParams.set(k, String(v))
})
}
const res = await fetch(url.toString())
return handleResponse<T>(res)
}
export async function post<T>(path: string, body?: unknown): Promise<T> {
const res = await fetch(BASE + path, {
method: 'POST',
headers: body ? { 'Content-Type': 'application/json' } : {},
body: body ? JSON.stringify(body) : undefined,
})
return handleResponse<T>(res)
}
export async function postForm<T>(path: string, formData: FormData): Promise<T> {
const res = await fetch(BASE + path, {
method: 'POST',
body: formData,
})
return handleResponse<T>(res)
}
export async function put<T>(path: string, body: unknown): Promise<T> {
const res = await fetch(BASE + path, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(body),
})
return handleResponse<T>(res)
}
export async function patch<T>(path: string, body: unknown): Promise<T> {
const res = await fetch(BASE + path, {
method: 'PATCH',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify(body),
})
return handleResponse<T>(res)
}
export async function del<T>(path: string): Promise<T> {
const res = await fetch(BASE + path, { method: 'DELETE' })
return handleResponse<T>(res)
}
@@ -1,131 +0,0 @@
import { get, post } from './client'
import type {
CoachStatus, CoachDeck, CoachSession, CoachSessionSummary,
CoachChatResponse, CoachApplyResult, CoachCardLikeResult
} from '../types'
export async function getCoachStatus() {
return get<CoachStatus>('/api/coach/status')
}
export async function getCoachDecks() {
return get<CoachDeck[]>('/api/coach/decks')
}
export async function getCoachDeckReport(deckId: string) {
return get<Record<string, unknown>>(`/api/coach/decks/${deckId}/report`)
}
export async function runCoachSession(deckId: string, goals?: Record<string, unknown>) {
return post<CoachSession>(`/api/coach/decks/${deckId}`, goals ? { goals } : undefined)
}
export async function getCoachSessions(deckId?: string) {
const params: Record<string, string> = {}
if (deckId) params.deck_id = deckId
return get<{ sessions: CoachSessionSummary[] }>('/api/coach/sessions', params)
}
export async function getCoachSession(sessionId: string) {
return get<CoachSession>(`/api/coach/sessions/${sessionId}`)
}
export async function downloadEmbeddings() {
return post<{ success: boolean; cards: number }>('/api/coach/embeddings/download')
}
export async function coachChat(
deckId: string,
messages: { role: string; content: string }[],
goals?: Record<string, unknown>
) {
return post<CoachChatResponse>('/api/coach/chat', {
deck_id: deckId,
messages,
goals,
stream: false,
})
}
export async function coachChatStream(
deckId: string,
messages: { role: string; content: string }[],
goals?: Record<string, unknown>,
onChunk?: (text: string) => void,
signal?: AbortSignal
): Promise<string> {
const res = await fetch('/api/coach/chat', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
deck_id: deckId,
messages,
goals,
stream: true,
}),
signal,
})
if (!res.ok) {
const body = await res.text()
throw new Error(body || `HTTP ${res.status}`)
}
const reader = res.body?.getReader()
if (!reader) throw new Error('No response body')
const decoder = new TextDecoder()
let fullText = ''
let buffer = ''
while (true) {
const { done, value } = await reader.read()
if (done) break
buffer += decoder.decode(value, { stream: true })
const lines = buffer.split('\n')
buffer = lines.pop() || ''
for (const line of lines) {
if (line.startsWith('data: ')) {
const data = line.slice(6).trim()
if (data === '[DONE]') break
try {
const parsed = JSON.parse(data)
if (parsed.content) {
fullText += parsed.content
onChunk?.(fullText)
}
} catch { /* skip bad chunks */ }
}
}
}
return fullText
}
export async function applyCoachSuggestions(
sessionId: string,
deckId: number,
acceptedCuts: string[],
acceptedAdds: string[]
) {
return post<CoachApplyResult>('/api/coach/apply', {
session_id: sessionId,
deck_id: deckId,
accepted_cuts: acceptedCuts,
accepted_adds: acceptedAdds,
})
}
export async function searchCardsLike(card: string, colors?: string, topN = 10) {
const params: Record<string, string | number> = { card, top_n: topN }
if (colors) params.colors = colors
return get<{ query: string; results: CoachCardLikeResult[] }>('/api/coach/cards-like', params)
}
export async function generateReport(deckId?: number) {
return post<{ status: string; decksUpdated: string[]; count: number }>('/api/coach/reports/generate',
deckId ? { deck_id: deckId } : undefined
)
}
@@ -1,86 +0,0 @@
import { get, post, patch, postForm } from './client'
import type { CollectionCard, CollectionFilters, SetInfo, ScanResult } from '../types'
export async function searchCollection(filters: CollectionFilters) {
// Map frontend snake_case filter names to backend camelCase param names
const params: Record<string, string | number | boolean> = {}
if (filters.q) params.q = filters.q
if (filters.page) params.page = filters.page
if (filters.page_size) params.pageSize = filters.page_size
if (filters.sort_by) params.sortField = filters.sort_by
if (filters.sort_dir) params.sortDir = filters.sort_dir
if (filters.color) params.colors = filters.color
if (filters.type_line) params.types = filters.type_line
if (filters.rarity) params.rarity = filters.rarity
if (filters.set_code) params.setCode = filters.set_code
if (filters.cmc_min !== undefined) params.cmcMin = filters.cmc_min
if (filters.cmc_max !== undefined) params.cmcMax = filters.cmc_max
if (filters.price_min !== undefined) params.priceMin = filters.price_min
if (filters.price_max !== undefined) params.priceMax = filters.price_max
if (filters.owned_only !== undefined) params.owned_only = filters.owned_only
const res = await get<{ items?: CollectionCard[]; cards?: CollectionCard[]; total: number; page: number; pageSize?: number; page_size?: number }>(
'/api/collection', params
)
return {
cards: res.items || res.cards || [],
total: res.total || 0,
page: res.page || 1,
page_size: res.pageSize || res.page_size || 48,
}
}
export async function getCard(cardId: number) {
return get<CollectionCard>(`/api/collection/${cardId}`)
}
export async function updateCard(cardId: number, updates: Partial<CollectionCard>) {
return patch<CollectionCard>(`/api/collection/${cardId}`, updates)
}
export async function getSets() {
const res = await get<SetInfo[] | { sets: SetInfo[] }>('/api/collection/sets')
return Array.isArray(res) ? res : (res as { sets: SetInfo[] }).sets || []
}
export async function getKeywords() {
const res = await get<string[] | { keywords: string[] }>('/api/collection/keywords')
return Array.isArray(res) ? res : (res as { keywords: string[] }).keywords || []
}
export async function exportCollection(format: string = 'csv') {
const res = await fetch(`/api/collection/export?format=${format}`)
return res.blob()
}
export async function importCollection(file: File) {
const fd = new FormData()
fd.append('file', file)
return postForm<{ imported: number; errors: string[] }>('/api/collection/import', fd)
}
export async function scanCard(file: File) {
const fd = new FormData()
fd.append('image', file)
return postForm<ScanResult>('/api/collection/scan', fd)
}
export async function addScanResult(match: { name: string; set_code: string; scryfall_id: string; quantity?: number }) {
return post<{ success: boolean; card_id: number }>('/api/collection/scan/add', match)
}
export async function reEnrichCards() {
return post<{ updated: number }>('/api/collection/re-enrich')
}
export async function autoClassify(cardId: number) {
return post<{ classifications: string[] }>(`/api/collection/auto-classify`, { card_id: cardId })
}
export async function autoClassifyAll() {
return post<{ processed: number }>('/api/collection/auto-classify-all')
}
export async function getEdhrecData(cardId: number) {
return get<Record<string, unknown>>(`/api/collection/${cardId}/edhrec`)
}
@@ -1,22 +0,0 @@
import { get, post } from './client'
import type { DeckGenV3Request, DeckGenV3Status, DeckGenV3Result, CommanderSearchResult } from '../types'
export async function getV3Status() {
return get<DeckGenV3Status>('/api/deck/v3/status')
}
export async function searchCommanders(q: string) {
return get<CommanderSearchResult[]>('/api/deck-generator/commander-search', { q })
}
export async function generateDeckV3(req: DeckGenV3Request) {
return post<DeckGenV3Result>('/api/deck/v3/generate', req)
}
export async function commitDeckV3(req: DeckGenV3Request) {
return post<DeckGenV3Result & { deck_id: number; dck_path: string }>('/api/deck/v3/commit', req)
}
export async function exportDeckV3(format: 'csv' | 'dck' | 'moxfield' | 'shopping', req: DeckGenV3Request) {
return post<Record<string, unknown>>(`/api/deck/v3/export/${format}`, req)
}
@@ -1,130 +0,0 @@
import { get, post, put, del, patch } from './client'
import type { Deck, DeckCard, DeckAnalysis, EdhRecsResponse, CollectionRecsResponse, PplxStatus } from '../types'
export async function listDecks() {
const res = await get<{ decks: Record<string, unknown>[] } | Record<string, unknown>[]>('/api/decks')
const raw = Array.isArray(res) ? res : (res as { decks: Record<string, unknown>[] }).decks || []
return raw.map(d => ({
...d,
commander: d.commander || d.commander_name || '',
card_count: d.card_count ?? d.total_cards ?? 0,
total_price: d.total_price ?? 0,
color_identity: d.color_identity || [],
created_date: d.created_date || d.created_at || '',
updated_date: d.updated_date || d.updated_at || '',
})) as Deck[]
}
export async function getDeck(deckId: number) {
return get<Deck>(`/api/decks/${deckId}`)
}
export async function createDeck(deck: { name: string; commander?: string; format?: string }) {
return post<Deck>('/api/decks', deck)
}
export async function updateDeck(deckId: number, updates: Partial<Deck>) {
return put<Deck>(`/api/decks/${deckId}`, updates)
}
export async function deleteDeck(deckId: number) {
return del<void>(`/api/decks/${deckId}`)
}
export async function deleteAllDecks() {
return del<void>('/api/decks')
}
export async function getDeckCards(deckId: number) {
const res = await get<{ cards: Record<string, unknown>[]; total: number } | Record<string, unknown>[]>(`/api/decks/${deckId}/cards`)
const raw = Array.isArray(res) ? res : (res as { cards: Record<string, unknown>[] }).cards || []
return raw.map(c => ({
...c,
name: c.name || c.card_name || '',
category: c.category || c.role_tag || '',
})) as DeckCard[]
}
export async function addCardToDeck(deckId: number, card: { name: string; scryfall_id?: string; quantity?: number; category?: string }) {
return post<DeckCard>(`/api/decks/${deckId}/cards`, card)
}
export async function removeCardFromDeck(deckId: number, cardId: number) {
return del<void>(`/api/decks/${deckId}/cards/${cardId}`)
}
export async function updateDeckCard(deckId: number, cardId: number, updates: Partial<DeckCard>) {
return patch<DeckCard>(`/api/decks/${deckId}/cards/${cardId}`, updates)
}
export async function getDeckAnalysis(deckId: number) {
const raw = await get<Record<string, unknown>>(`/api/decks/${deckId}/analysis`)
// Backend returns: counts_by_type, targets, deltas, mana_curve, color_pips, total_cards, roles
// Frontend DeckAnalysis expects: card_count, land_count, creature_count, noncreature_count, avg_cmc, mana_curve, color_distribution, type_distribution, total_price, owned_count, missing_count
const counts = (raw.counts_by_type || {}) as Record<string, number>
const totalCards = (raw.total_cards as number) || 0
const landCount = counts['Land'] || 0
const creatureCount = counts['Creature'] || 0
const manaCurve = (raw.mana_curve || {}) as Record<string | number, number>
const colorPips = (raw.color_pips || {}) as Record<string, number>
// Compute avg CMC from mana curve
let totalMana = 0, nonLandCards = 0
for (const [cmc, count] of Object.entries(manaCurve)) {
const cmcNum = cmc === '6+' ? 6 : Number(cmc)
totalMana += cmcNum * count
nonLandCards += count
}
return {
card_count: totalCards,
land_count: landCount,
creature_count: creatureCount,
noncreature_count: totalCards - landCount - creatureCount,
avg_cmc: nonLandCards > 0 ? totalMana / nonLandCards : 0,
mana_curve: manaCurve as Record<number, number>,
color_distribution: colorPips,
type_distribution: counts,
total_price: 0,
owned_count: totalCards,
missing_count: 0,
} as DeckAnalysis
}
export async function getCollectionRecs(deckId: number) {
return get<CollectionRecsResponse>(`/api/decks/${deckId}/recommended-from-collection`)
}
export async function getEdhRecs(deckId: number, onlyOwned = false, maxResults = 30) {
return get<EdhRecsResponse>(`/api/decks/${deckId}/edh-recs?only_owned=${onlyOwned}&max_results=${maxResults}`)
}
export async function bulkAddCards(deckId: number, cards: { name: string; quantity?: number }[]) {
return post<{ added: number }>(`/api/decks/${deckId}/bulk-add`, { cards })
}
export async function bulkAddRecommended(deckId: number, cards: string[]) {
return post<{ added: number }>(`/api/decks/${deckId}/bulk-add-recommended`, { card_names: cards })
}
export async function exportDeckToSim(deckId: number) {
return post<{ path: string }>(`/api/decks/${deckId}/export-to-sim`)
}
export async function importDeckToDeck(deckId: number, data: { text?: string; url?: string }) {
return post<{ imported: number }>(`/api/decks/${deckId}/import`, data)
}
export async function importNewDeck(data: { text?: string; url?: string; name?: string }) {
return post<Deck>('/api/decks/import-new', data)
}
export async function getPplxStatus() {
return get<PplxStatus>('/api/pplx/status')
}
export async function deckResearch(payload: { commander: string; strategy?: string }) {
return post<{ research: string }>('/api/deck-research', payload)
}
export async function deckGenerate(payload: { commander: string; strategy?: string; bracket?: number }) {
return post<{ cards: Array<{ name: string; quantity: number; category: string }> }>('/api/deck-generate', payload)
}
@@ -1,7 +0,0 @@
export * as collectionApi from './collection'
export * as decksApi from './decks'
export * as deckgenApi from './deckgen'
export * as labApi from './lab'
export * as simApi from './sim'
export * as coachApi from './coach'
export * as trainingApi from './training'
@@ -1,65 +0,0 @@
import { get, post } from './client'
import type { LabDeck, LabStatus, LabResult, LabHistoryEntry, PreconDeck } from '../types'
export async function getLabDecks() {
const res = await get<{ decks: LabDeck[] } | LabDeck[]>('/api/lab/decks')
return Array.isArray(res) ? res : (res as { decks: LabDeck[] }).decks || []
}
export async function startBatchSim(config: { decks: string[]; games: number; threads?: number; use_deepseek?: boolean; deepseek_deck?: string }) {
return post<{ run_id: string }>('/api/lab/start', config)
}
export async function startDeepSeekSim(config: { decks: string[]; games: number; deepseek_deck: string }) {
return post<{ run_id: string }>('/api/lab/start-deepseek', config)
}
export async function getLabStatus() {
return get<LabStatus>('/api/lab/status')
}
export async function getLabResult() {
return get<LabResult>('/api/lab/result')
}
export async function getLabHistory() {
const res = await get<{ results: LabHistoryEntry[] } | LabHistoryEntry[]>('/api/lab/history')
return Array.isArray(res) ? res : (res as { results: LabHistoryEntry[] }).results || []
}
export async function getPrecons() {
const res = await get<{ precons: PreconDeck[] } | PreconDeck[]>('/api/lab/precons')
return Array.isArray(res) ? res : (res as { precons: PreconDeck[] }).precons || []
}
export async function installPrecon(name: string) {
return post<{ installed: boolean }>('/api/lab/precons/install', { name })
}
export async function installPreconBatch(names: string[]) {
return post<{ installed: number }>('/api/lab/precons/install-batch', { names })
}
export async function getMetaCommanders() {
return get<Array<{ name: string; color_identity: string[] }>>('/api/lab/meta/commanders')
}
export async function searchMetaCommanders(q: string) {
return get<Array<{ name: string; color_identity: string[]; source: string }>>('/api/lab/meta/search', { q })
}
export async function fetchMetaDeck(commander: string) {
return post<{ deck_name: string; cards: Array<{ name: string; quantity: number }> }>('/api/lab/meta/fetch', { commander })
}
export async function importDeckFromUrl(url: string) {
return post<{ deck_name: string }>('/api/lab/import/url', { url })
}
export async function importDeckFromText(text: string, name?: string) {
return post<{ deck_name: string }>('/api/lab/import/text', { text, name })
}
export async function getLabLog() {
return get<{ log: string }>('/api/lab/log')
}
@@ -1,38 +0,0 @@
import { get, post } from './client'
import type { SimStatus, SimResult, DeepSeekStatus } from '../types'
export async function runSim(config: { deck_a: string; deck_b: string; games: number }) {
return post<{ sim_id: string }>('/api/sim/run', config)
}
export async function runSimFromDeck(deckId: number, config: { opponent?: string; games?: number }) {
return post<{ sim_id: string }>('/api/sim/run-from-deck', { deck_id: deckId, ...config })
}
export async function runDeepSeekSim(config: { deck_a: string; deck_b: string; games: number; deepseek_deck: string }) {
return post<{ sim_id: string }>('/api/sim/run-deepseek', config)
}
export async function getSimStatus(simId: string) {
return get<SimStatus>('/api/sim/status', { simId })
}
export async function getSimResult(simId: string) {
return get<SimResult>('/api/sim/result', { simId })
}
export async function connectDeepSeek() {
return post<DeepSeekStatus>('/api/deepseek/connect')
}
export async function getDeepSeekStatus() {
return get<DeepSeekStatus>('/api/deepseek/status')
}
export async function configureDeepSeek(config: { model?: string; base_url?: string }) {
return post<DeepSeekStatus>('/api/deepseek/configure', config)
}
export async function getDeepSeekLogs() {
return get<Array<{ filename: string; size: number; modified: string }>>('/api/deepseek/logs')
}
@@ -1,92 +0,0 @@
import { get, post } from './client'
import type {
MLStatus, MLDataStatus, MLTrainStatus, PPOTrainStatus,
TournamentStatus, TournamentResults, MLModelInfo
} from '../types'
// ── ML Status & Toggle ──────────────────────────────────────
export async function getMLStatus() {
return get<MLStatus>('/api/ml/status')
}
export async function toggleML(enable = true) {
return post<{ ml_logging_enabled: boolean; message: string }>(`/api/ml/toggle?enable=${enable}`)
}
// ── Data & Model Info ───────────────────────────────────────
export async function getDataStatus() {
return get<MLDataStatus>('/api/ml/data/status')
}
export async function getModelInfo() {
return get<MLModelInfo>('/api/ml/model')
}
export async function reloadModel(checkpoint?: string) {
return post<{ success: boolean; status: MLModelInfo }>('/api/ml/reload', checkpoint ? { checkpoint } : undefined)
}
// ── Supervised Training ─────────────────────────────────────
export async function startTraining(config: {
epochs?: number
lr?: number
batchSize?: number
patience?: number
rebuildDataset?: boolean
}) {
return post<{ status: string; config: Record<string, unknown> }>('/api/ml/train', config)
}
export async function getTrainStatus() {
return get<MLTrainStatus>('/api/ml/train/status')
}
// ── PPO Training ────────────────────────────────────────────
export async function startPPOTraining(config: {
iterations?: number
episodesPerIter?: number
ppoEpochs?: number
batchSize?: number
lr?: number
clipEpsilon?: number
entropyCoeff?: number
opponent?: string
playstyle?: string
loadSupervised?: string
}) {
return post<{ status: string; iterations: number }>('/api/ml/train/ppo', config)
}
export async function getPPOStatus() {
return get<PPOTrainStatus>('/api/ml/train/ppo/status')
}
// ── Tournament ──────────────────────────────────────────────
export async function startTournament(config: {
episodes?: number
playstyle?: string
}) {
return post<{ status: string; episodes: number }>('/api/ml/tournament', config)
}
export async function getTournamentStatus() {
return get<TournamentStatus>('/api/ml/tournament/status')
}
export async function getTournamentResults() {
return get<TournamentResults>('/api/ml/tournament/results')
}
// ── Decision Files ──────────────────────────────────────────
export async function getDecisionFile(filename: string, limit = 100, offset = 0) {
return get<{ file: string; offset: number; limit: number; count: number; decisions: Record<string, unknown>[] }>(
`/api/ml/decisions/${filename}?limit=${limit}&offset=${offset}`
)
}
// ── Prediction ──────────────────────────────────────────────
export async function predict(state: Record<string, unknown>) {
return post<{ action: string; action_index: number; confidence: number; probabilities: Record<string, number>; inference_ms: number }>(
'/api/ml/predict', state
)
}
@@ -1,49 +0,0 @@
import { useState } from 'react'
interface CardImageProps {
src: string
alt: string
size?: 'sm' | 'md' | 'lg' | 'xl'
className?: string
onClick?: () => void
}
const SIZES = {
sm: 'w-16 h-[22px]', // tiny inline
md: 'w-[146px] h-[204px]', // grid thumbnail
lg: 'w-[244px] h-[340px]', // detail view
xl: 'w-[336px] h-[468px]', // full size
}
export function CardImage({ src, alt, size = 'md', className = '', onClick }: CardImageProps) {
const [loaded, setLoaded] = useState(false)
const [error, setError] = useState(false)
// Build Scryfall URL if needed — ensure we get the right size
const imgUrl = src || ''
return (
<div
className={`relative overflow-hidden rounded-lg bg-bg-tertiary ${SIZES[size]} ${onClick ? 'cursor-pointer hover:ring-2 hover:ring-accent-blue/50 transition-all' : ''} ${className}`}
onClick={onClick}
>
{!error ? (
<img
src={imgUrl}
alt={alt}
className={`w-full h-full object-cover transition-opacity duration-200 ${loaded ? 'opacity-100' : 'opacity-0'}`}
onLoad={() => setLoaded(true)}
onError={() => setError(true)}
loading="lazy"
/>
) : (
<div className="flex items-center justify-center w-full h-full text-text-tertiary text-xs text-center p-2">
{alt}
</div>
)}
{!loaded && !error && (
<div className="absolute inset-0 bg-bg-tertiary animate-pulse" />
)}
</div>
)
}
@@ -1,19 +0,0 @@
import type { LucideIcon } from 'lucide-react'
interface EmptyStateProps {
icon: LucideIcon
title: string
description?: string
action?: React.ReactNode
}
export function EmptyState({ icon: Icon, title, description, action }: EmptyStateProps) {
return (
<div className="flex flex-col items-center justify-center py-16 text-center">
<Icon className="w-12 h-12 text-text-tertiary mb-4" strokeWidth={1.5} />
<h3 className="text-lg font-semibold text-text-primary mb-1">{title}</h3>
{description && <p className="text-sm text-text-secondary max-w-md mb-4">{description}</p>}
{action}
</div>
)
}
@@ -1,69 +0,0 @@
// Parse MTG mana cost strings like "{2}{W}{U}" into colored symbols
const MANA_COLORS: Record<string, string> = {
W: 'bg-mana-white text-black',
U: 'bg-mana-blue text-white',
B: 'bg-mana-black text-white',
R: 'bg-mana-red text-white',
G: 'bg-mana-green text-white',
C: 'bg-mana-colorless text-white',
}
interface ManaSymbolsProps {
cost: string
size?: 'sm' | 'md'
}
export function ManaSymbols({ cost, size = 'sm' }: ManaSymbolsProps) {
if (!cost) return null
const symbols = cost.match(/\{([^}]+)\}/g)
if (!symbols) return <span className="text-text-tertiary">{cost}</span>
const sz = size === 'sm' ? 'w-5 h-5 text-[10px]' : 'w-6 h-6 text-xs'
return (
<span className="inline-flex items-center gap-0.5">
{symbols.map((s, i) => {
const val = s.replace(/[{}]/g, '')
const colorClass = MANA_COLORS[val] || 'bg-mana-colorless text-white'
return (
<span
key={i}
className={`${sz} inline-flex items-center justify-center rounded-full font-bold ${colorClass}`}
>
{val}
</span>
)
})}
</span>
)
}
// Color identity dots
interface ColorDotsProps {
colors: string[]
size?: 'sm' | 'md'
}
export function ColorDots({ colors, size = 'sm' }: ColorDotsProps) {
if (!colors || colors.length === 0) return <span className="text-text-tertiary text-xs">Colorless</span>
const sz = size === 'sm' ? 'w-3 h-3' : 'w-4 h-4'
const DOT_COLORS: Record<string, string> = {
W: 'bg-mana-white',
U: 'bg-mana-blue',
B: 'bg-mana-black border border-border-secondary',
R: 'bg-mana-red',
G: 'bg-mana-green',
}
return (
<span className="inline-flex items-center gap-0.5">
{colors.map(c => (
<span key={c} className={`${sz} rounded-full ${DOT_COLORS[c] || 'bg-mana-colorless'}`} />
))}
</span>
)
}
@@ -1,38 +0,0 @@
interface SpinnerProps {
size?: 'sm' | 'md' | 'lg'
className?: string
}
const SIZES = { sm: 'w-4 h-4', md: 'w-6 h-6', lg: 'w-8 h-8' }
export function Spinner({ size = 'md', className = '' }: SpinnerProps) {
return (
<svg
className={`animate-spin ${SIZES[size]} ${className}`}
viewBox="0 0 24 24"
fill="none"
>
<circle
cx="12" cy="12" r="10"
stroke="currentColor"
strokeWidth="3"
strokeLinecap="round"
className="opacity-20"
/>
<path
d="M12 2a10 10 0 0 1 10 10"
stroke="currentColor"
strokeWidth="3"
strokeLinecap="round"
/>
</svg>
)
}
export function PageSpinner() {
return (
<div className="flex items-center justify-center h-64">
<Spinner size="lg" className="text-accent-blue" />
</div>
)
}
@@ -1,35 +0,0 @@
import { CheckCircle, XCircle, AlertTriangle, Info } from 'lucide-react'
type Variant = 'success' | 'error' | 'warning' | 'info' | 'neutral'
interface StatusBadgeProps {
variant: Variant
label: string
className?: string
}
const STYLES: Record<Variant, string> = {
success: 'bg-status-success/15 text-status-success border-status-success/30',
error: 'bg-status-error/15 text-status-error border-status-error/30',
warning: 'bg-status-warning/15 text-status-warning border-status-warning/30',
info: 'bg-status-info/15 text-status-info border-status-info/30',
neutral: 'bg-bg-tertiary text-text-secondary border-border-primary',
}
const ICONS: Record<Variant, typeof CheckCircle> = {
success: CheckCircle,
error: XCircle,
warning: AlertTriangle,
info: Info,
neutral: Info,
}
export function StatusBadge({ variant, label, className = '' }: StatusBadgeProps) {
const Icon = ICONS[variant]
return (
<span className={`inline-flex items-center gap-1.5 px-2.5 py-1 text-xs font-medium rounded-md border ${STYLES[variant]} ${className}`}>
<Icon className="w-3.5 h-3.5" />
{label}
</span>
)
}
@@ -1,5 +0,0 @@
export { Spinner, PageSpinner } from './Spinner'
export { StatusBadge } from './StatusBadge'
export { CardImage } from './CardImage'
export { ManaSymbols, ColorDots } from './ManaSymbols'
export { EmptyState } from './EmptyState'
@@ -1,16 +0,0 @@
import { Sidebar } from './Sidebar'
interface PageLayoutProps {
children: React.ReactNode
}
export function PageLayout({ children }: PageLayoutProps) {
return (
<div className="min-h-screen bg-bg-primary">
<Sidebar />
<main className="ml-56 min-h-screen">
{children}
</main>
</div>
)
}
@@ -1,51 +0,0 @@
import { NavLink } from 'react-router-dom'
const NAV_ITEMS = [
{ to: '/', label: 'Batch Sim', icon: '⚗️' },
{ to: '/collection', label: 'Collection', icon: '📦' },
{ to: '/decks', label: 'Decks', icon: '🃏' },
{ to: '/autogen', label: 'Auto Gen', icon: '⚡' },
{ to: '/simulator', label: 'Simulator', icon: '🎮' },
{ to: '/coach', label: 'Coach', icon: '🧠' },
{ to: '/training', label: 'Training', icon: '📈' },
]
export function Sidebar() {
return (
<aside className="fixed left-0 top-0 bottom-0 w-56 bg-bg-secondary border-r border-border-primary flex flex-col z-30">
{/* Logo */}
<div className="px-5 py-5 border-b border-border-primary">
<h1 className="text-base font-bold text-text-primary tracking-tight">
Commander AI Lab
</h1>
<p className="text-xs text-text-tertiary mt-0.5">MTG Intelligence Platform</p>
</div>
{/* Nav */}
<nav className="flex-1 py-3 overflow-y-auto">
{NAV_ITEMS.map(item => (
<NavLink
key={item.to}
to={item.to}
end={item.to === '/'}
className={({ isActive }) =>
`flex items-center gap-3 px-5 py-2.5 text-sm transition-colors duration-150 ${
isActive
? 'bg-accent-blue/10 text-accent-blue border-r-2 border-accent-blue'
: 'text-text-secondary hover:text-text-primary hover:bg-bg-hover'
}`
}
>
<span className="text-base">{item.icon}</span>
<span>{item.label}</span>
</NavLink>
))}
</nav>
{/* Footer */}
<div className="px-5 py-4 border-t border-border-primary">
<p className="text-xs text-text-tertiary">v4.0 — React + TypeScript</p>
</div>
</aside>
)
}
@@ -1,13 +0,0 @@
import { useEffect, useRef } from 'react'
/** Polls a function at the given interval while `enabled` is true */
export function usePolling(fn: () => void, intervalMs: number, enabled: boolean) {
const savedFn = useRef(fn)
savedFn.current = fn
useEffect(() => {
if (!enabled) return
const id = setInterval(() => savedFn.current(), intervalMs)
return () => clearInterval(id)
}, [intervalMs, enabled])
}
-114
View File
@@ -1,114 +0,0 @@
@import "tailwindcss";
/* ═══════════════════════════════════════════════════════════
Commander AI Lab — Design Tokens (Tailwind v4 CSS Theme)
Fresh dark theme with MTG-inspired accents
═══════════════════════════════════════════════════════════ */
@theme {
/* ── Backgrounds ── */
--color-bg-primary: #0f1117;
--color-bg-secondary: #161921;
--color-bg-tertiary: #1c2030;
--color-bg-elevated: #222738;
--color-bg-hover: #2a3048;
/* ── Borders ── */
--color-border-primary: #2a2f42;
--color-border-secondary: #363c54;
--color-border-accent: #4f6ef7;
/* ── Text ── */
--color-text-primary: #e8eaf0;
--color-text-secondary: #9ba1b8;
--color-text-tertiary: #6b7190;
--color-text-inverse: #0f1117;
/* ── Accents ── */
--color-accent-blue: #4f6ef7;
--color-accent-blue-hover: #6b84ff;
--color-accent-teal: #2dd4bf;
--color-accent-teal-hover: #5eead4;
--color-accent-purple: #a78bfa;
--color-accent-amber: #fbbf24;
--color-accent-red: #f87171;
--color-accent-green: #4ade80;
/* ── MTG Mana Colors ── */
--color-mana-white: #f9faf4;
--color-mana-blue: #0e67ab;
--color-mana-black: #2b2424;
--color-mana-red: #d3202a;
--color-mana-green: #00733e;
--color-mana-colorless: #706f6f;
/* ── Status ── */
--color-status-success: #4ade80;
--color-status-warning: #fbbf24;
--color-status-error: #f87171;
--color-status-info: #60a5fa;
/* ── Radius ── */
--radius-sm: 0.375rem;
--radius-md: 0.5rem;
--radius-lg: 0.75rem;
--radius-xl: 1rem;
/* ── Shadows ── */
--shadow-sm: 0 1px 2px rgba(0, 0, 0, 0.3);
--shadow-md: 0 4px 12px rgba(0, 0, 0, 0.4);
--shadow-lg: 0 8px 24px rgba(0, 0, 0, 0.5);
--shadow-glow-blue: 0 0 20px rgba(79, 110, 247, 0.15);
--shadow-glow-teal: 0 0 20px rgba(45, 212, 191, 0.15);
}
/* ── Base Styles ── */
html {
background-color: var(--color-bg-primary);
color: var(--color-text-primary);
}
body {
font-family: 'Inter', system-ui, -apple-system, sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
/* ── Scrollbar ── */
::-webkit-scrollbar {
width: 8px;
height: 8px;
}
::-webkit-scrollbar-track {
background: var(--color-bg-secondary);
}
::-webkit-scrollbar-thumb {
background: var(--color-border-secondary);
border-radius: 4px;
}
::-webkit-scrollbar-thumb:hover {
background: var(--color-text-tertiary);
}
/* ── Utility animations ── */
@keyframes fade-in {
from { opacity: 0; transform: translateY(4px); }
to { opacity: 1; transform: translateY(0); }
}
@keyframes pulse-glow {
0%, 100% { box-shadow: 0 0 0 0 rgba(79, 110, 247, 0.2); }
50% { box-shadow: 0 0 16px 4px rgba(79, 110, 247, 0.15); }
}
@keyframes spin {
to { transform: rotate(360deg); }
}
.animate-fade-in {
animation: fade-in 0.2s ease-out;
}
.animate-pulse-glow {
animation: pulse-glow 2s infinite;
}
.animate-spin {
animation: spin 1s linear infinite;
}
-10
View File
@@ -1,10 +0,0 @@
import { StrictMode } from 'react'
import { createRoot } from 'react-dom/client'
import './index.css'
import App from './App.tsx'
createRoot(document.getElementById('root')!).render(
<StrictMode>
<App />
</StrictMode>,
)
@@ -1,436 +0,0 @@
import { useState, useEffect, useRef } from 'react'
import {
Search, Wand2, Save, AlertCircle,
ChevronDown, Sparkles, RefreshCw, Check
} from 'lucide-react'
import { Spinner, StatusBadge, ManaSymbols, CardImage, ColorDots } from '../components/common'
import { deckgenApi } from '../api'
import type { DeckGenV3Status, DeckGenV3Result, DeckGenV3Card, CommanderSearchResult } from '../types'
import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, Cell } from 'recharts'
// ── Commander Search ──────────────────────────────────────────
function CommanderSearch({ onSelect }: { onSelect: (c: CommanderSearchResult) => void }) {
const [query, setQuery] = useState('')
const [results, setResults] = useState<CommanderSearchResult[]>([])
const [searching, setSearching] = useState(false)
const debounceRef = useRef<ReturnType<typeof setTimeout>>(undefined)
function handleSearch(q: string) {
setQuery(q)
clearTimeout(debounceRef.current)
if (q.length < 2) { setResults([]); return }
debounceRef.current = setTimeout(async () => {
setSearching(true)
try {
const r = await deckgenApi.searchCommanders(q)
setResults(r)
} catch { setResults([]) }
setSearching(false)
}, 300)
}
return (
<div className="relative">
<div className="relative">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 w-4 h-4 text-text-tertiary" />
<input
type="text"
placeholder="Search for a commander..."
value={query}
onChange={e => handleSearch(e.target.value)}
className="w-full pl-10 pr-4 py-3 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 focus:ring-1 focus:ring-accent-blue/30 transition-all"
/>
{searching && <Spinner size="sm" className="absolute right-3 top-1/2 -translate-y-1/2 text-accent-blue" />}
</div>
{results.length > 0 && (
<div className="absolute z-20 top-full mt-1 w-full bg-bg-elevated border border-border-primary rounded-xl shadow-lg max-h-80 overflow-y-auto">
{results.map(c => (
<button
key={c.scryfall_id}
onClick={() => { onSelect(c); setQuery(c.name); setResults([]) }}
className="w-full flex items-center gap-3 px-4 py-3 hover:bg-bg-hover text-left transition-colors"
>
<CardImage src={c.image_url} alt={c.name} size="sm" />
<div className="flex-1 min-w-0">
<p className="text-sm font-medium text-text-primary truncate">{c.name}</p>
<p className="text-xs text-text-secondary truncate">{c.type_line}</p>
</div>
<ColorDots colors={c.color_identity} />
{c.in_collection && (
<span className="text-[10px] px-1.5 py-0.5 bg-accent-green/15 text-accent-green rounded">Owned</span>
)}
</button>
))}
</div>
)}
</div>
)
}
// ── Generated Deck View ───────────────────────────────────────
function GeneratedDeckView({ result, onCommit }: { result: DeckGenV3Result; onCommit: () => void }) {
const [view, setView] = useState<'visual' | 'list'>('visual')
const [committing, setCommitting] = useState(false)
const [selectedCard, setSelectedCard] = useState<DeckGenV3Card | null>(null)
// Group by category
const grouped = result.cards.reduce<Record<string, DeckGenV3Card[]>>((acc, c) => {
const cat = c.category || 'Other'
if (!acc[cat]) acc[cat] = []
acc[cat].push(c)
return acc
}, {})
const curveData = Object.entries(result.stats.mana_curve)
.map(([cmc, count]) => ({ cmc: cmc === '7' ? '7+' : cmc, count }))
.sort((a, b) => Number(a.cmc) - Number(b.cmc))
async function handleCommit() {
setCommitting(true)
try { onCommit() } catch { /* ignore */ }
setCommitting(false)
}
return (
<div className="space-y-5 animate-fade-in">
{/* Commander header */}
<div className="flex gap-5 bg-bg-secondary rounded-xl border border-border-primary p-5">
<CardImage src={result.commander.image_url} alt={result.commander.name} size="lg" />
<div className="flex-1 space-y-3">
<div>
<h2 className="text-xl font-bold text-text-primary">{result.commander.name}</h2>
<p className="text-sm text-text-secondary">{result.commander.type_line}</p>
<div className="flex items-center gap-3 mt-2">
<ManaSymbols cost={result.commander.mana_cost} size="md" />
<ColorDots colors={result.commander.color_identity} size="md" />
</div>
</div>
<p className="text-sm text-text-primary whitespace-pre-wrap">{result.commander.oracle_text}</p>
<div className="flex items-center gap-4 text-xs text-text-secondary">
<span>Strategy: <span className="text-accent-blue font-medium">{result.strategy}</span></span>
<span>Bracket: <span className="text-accent-amber font-medium">{result.bracket}</span></span>
<span>Model: <span className="text-accent-purple font-medium">{result.model}</span></span>
</div>
{result.substitution && (
<div className="flex items-center gap-3 text-xs">
<span className="text-accent-green">{result.substitution.owned} owned</span>
<span className="text-accent-amber">{result.substitution.substituted} substituted</span>
<span className="text-accent-red">{result.substitution.missing} missing</span>
</div>
)}
</div>
</div>
{/* Actions */}
<div className="flex items-center gap-3">
<button onClick={handleCommit} disabled={committing}
className="flex items-center gap-2 px-4 py-2.5 bg-accent-green/15 text-accent-green text-sm font-medium rounded-lg hover:bg-accent-green/25 border border-accent-green/30 transition-colors disabled:opacity-50">
{committing ? <Spinner size="sm" /> : <Save className="w-4 h-4" />}
Save to Decks
</button>
<div className="flex items-center gap-1 bg-bg-secondary rounded-lg border border-border-primary p-0.5">
<button onClick={() => setView('visual')}
className={`px-3 py-1.5 text-xs font-medium rounded-md transition-colors ${view === 'visual' ? 'bg-bg-hover text-text-primary' : 'text-text-tertiary hover:text-text-secondary'}`}>
Visual
</button>
<button onClick={() => setView('list')}
className={`px-3 py-1.5 text-xs font-medium rounded-md transition-colors ${view === 'list' ? 'bg-bg-hover text-text-primary' : 'text-text-tertiary hover:text-text-secondary'}`}>
List
</button>
</div>
{/* Stats summary */}
<div className="flex-1" />
<span className="text-xs text-text-tertiary">{result.stats.card_count} cards</span>
<span className="text-xs text-accent-teal font-medium">${result.stats.total_price.toFixed(2)}</span>
</div>
{/* Mana curve mini */}
<div className="bg-bg-secondary rounded-xl border border-border-primary p-4">
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider mb-2">Mana Curve</h4>
<div className="h-28">
<ResponsiveContainer width="100%" height="100%">
<BarChart data={curveData} barSize={20}>
<XAxis dataKey="cmc" axisLine={false} tickLine={false} tick={{ fill: '#6b7190', fontSize: 10 }} />
<YAxis hide />
<Tooltip contentStyle={{ backgroundColor: '#1c2030', border: '1px solid #2a2f42', borderRadius: 8, fontSize: 11 }} />
<Bar dataKey="count" radius={[3, 3, 0, 0]}>
{curveData.map((_, i) => <Cell key={i} fill="#4f6ef7" fillOpacity={0.8} />)}
</Bar>
</BarChart>
</ResponsiveContainer>
</div>
</div>
{/* Card grid/list */}
{view === 'visual' ? (
<div className="space-y-5">
{Object.entries(grouped).map(([cat, cards]) => (
<div key={cat}>
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider mb-3">{cat} ({cards.length})</h4>
<div className="grid grid-cols-3 sm:grid-cols-4 md:grid-cols-5 lg:grid-cols-6 xl:grid-cols-8 gap-2">
{cards.map(card => (
<div key={card.name} className="group cursor-pointer relative" onClick={() => setSelectedCard(card)}>
<CardImage src={card.image_url} alt={card.name} size="md" className="w-full h-auto aspect-[5/7]" />
{card.is_substitute && (
<div className="absolute top-1 right-1 w-4 h-4 bg-accent-amber rounded-full flex items-center justify-center">
<RefreshCw className="w-2.5 h-2.5 text-bg-primary" />
</div>
)}
{card.owned && (
<div className="absolute top-1 left-1 w-4 h-4 bg-accent-green rounded-full flex items-center justify-center">
<Check className="w-2.5 h-2.5 text-bg-primary" />
</div>
)}
</div>
))}
</div>
</div>
))}
</div>
) : (
<div className="bg-bg-secondary rounded-xl border border-border-primary overflow-hidden">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border-primary text-left">
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Card</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Category</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Role</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Mana</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider text-right">Price</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Status</th>
</tr>
</thead>
<tbody className="divide-y divide-border-primary">
{result.cards.map(card => (
<tr key={card.name} className="hover:bg-bg-hover transition-colors">
<td className="px-4 py-2.5">
<span className="font-medium text-text-primary">{card.quantity}x {card.name}</span>
{card.is_substitute && (
<span className="ml-2 text-[10px] text-accent-amber">sub for {card.original_name}</span>
)}
</td>
<td className="px-4 py-2.5 text-xs text-text-secondary">{card.category}</td>
<td className="px-4 py-2.5 text-xs text-text-secondary">{card.role}</td>
<td className="px-4 py-2.5"><ManaSymbols cost={card.mana_cost} /></td>
<td className="px-4 py-2.5 text-right text-accent-teal text-xs">{card.tcg_price != null ? `$${card.tcg_price.toFixed(2)}` : '—'}</td>
<td className="px-4 py-2.5">
<span className={`text-[10px] px-2 py-0.5 rounded ${card.owned ? 'bg-accent-green/15 text-accent-green' : 'bg-bg-tertiary text-text-tertiary'}`}>
{card.owned ? `Owned (${card.owned_qty})` : 'Missing'}
</span>
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
{/* Card detail popup */}
{selectedCard && (
<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/70 backdrop-blur-sm" onClick={() => setSelectedCard(null)}>
<div className="bg-bg-secondary rounded-xl border border-border-primary shadow-lg max-w-2xl w-full mx-4 p-6 animate-fade-in" onClick={e => e.stopPropagation()}>
<div className="flex gap-5">
<CardImage src={selectedCard.image_url} alt={selectedCard.name} size="lg" />
<div className="flex-1 space-y-3">
<h3 className="text-lg font-bold text-text-primary">{selectedCard.name}</h3>
<p className="text-sm text-text-secondary">{selectedCard.type_line}</p>
<ManaSymbols cost={selectedCard.mana_cost} size="md" />
<p className="text-sm text-text-primary whitespace-pre-wrap">{selectedCard.reason}</p>
<div className="flex items-center gap-3 text-xs">
<span className="text-text-tertiary">Role: <span className="text-accent-blue">{selectedCard.role}</span></span>
{selectedCard.is_substitute && (
<span className="text-accent-amber">Substituted for {selectedCard.original_name} ({(selectedCard.similarity_score ?? 0 * 100).toFixed(0)}%)</span>
)}
</div>
</div>
</div>
</div>
</div>
)}
</div>
)
}
// ── Main Auto Gen Page ────────────────────────────────────────
export function AutoGenPage() {
const [status, setStatus] = useState<DeckGenV3Status | null>(null)
const [loading, setLoading] = useState(true)
const [generating, setGenerating] = useState(false)
const [result, setResult] = useState<DeckGenV3Result | null>(null)
const [commander, setCommander] = useState<CommanderSearchResult | null>(null)
const [strategy, setStrategy] = useState('')
const [bracket, setBracket] = useState(3)
const [budget, setBudget] = useState<string>('')
const [useCollection, setUseCollection] = useState(true)
const [runSub, setRunSub] = useState(true)
const [error, setError] = useState<string | null>(null)
useEffect(() => {
deckgenApi.getV3Status().then(s => { setStatus(s); setLoading(false) }).catch(() => setLoading(false))
}, [])
async function handleGenerate() {
if (!commander) return
setGenerating(true)
setError(null)
setResult(null)
try {
const res = await deckgenApi.generateDeckV3({
commander_name: commander.name,
strategy: strategy || undefined,
target_bracket: bracket,
budget_usd: budget ? Number(budget) : undefined,
use_collection: useCollection,
run_substitution: runSub,
})
setResult(res)
} catch (e) {
setError(e instanceof Error ? e.message : 'Generation failed')
}
setGenerating(false)
}
async function handleCommit() {
if (!commander || !result) return
try {
await deckgenApi.commitDeckV3({
commander_name: commander.name,
strategy: strategy || undefined,
target_bracket: bracket,
budget_usd: budget ? Number(budget) : undefined,
use_collection: useCollection,
run_substitution: runSub,
})
} catch { /* ignore */ }
}
if (loading) {
return <div className="p-6 flex items-center justify-center h-64"><Spinner size="lg" className="text-accent-blue" /></div>
}
return (
<div className="p-6 space-y-5">
<div>
<h1 className="text-2xl font-bold text-text-primary flex items-center gap-3">
<Sparkles className="w-6 h-6 text-accent-purple" />
Auto Gen V3
</h1>
<p className="text-sm text-text-secondary mt-0.5">AI-powered deck generation with Perplexity</p>
</div>
{/* Status bar */}
<div className="flex items-center gap-3">
<StatusBadge
variant={status?.initialized ? 'success' : 'error'}
label={status?.initialized ? 'Ready' : 'Not Initialized'}
/>
<StatusBadge
variant={status?.pplx_configured ? 'success' : 'warning'}
label={status?.pplx_configured ? 'Perplexity Connected' : 'Perplexity Not Set'}
/>
{status?.embeddings_loaded && (
<StatusBadge variant="info" label={`${status.embedding_cards.toLocaleString()} embeddings`} />
)}
</div>
{!result ? (
/* Config form */
<div className="max-w-2xl space-y-5">
<div>
<label className="text-sm font-medium text-text-primary block mb-2">Commander</label>
<CommanderSearch onSelect={setCommander} />
{commander && (
<div className="mt-2 flex items-center gap-3 p-3 bg-bg-secondary rounded-lg border border-border-primary">
<CardImage src={commander.image_url} alt={commander.name} size="sm" />
<div>
<p className="text-sm font-medium text-text-primary">{commander.name}</p>
<p className="text-xs text-text-secondary">{commander.type_line}</p>
</div>
<ColorDots colors={commander.color_identity} />
</div>
)}
</div>
<div>
<label className="text-sm font-medium text-text-primary block mb-2">Strategy (optional)</label>
<input
type="text"
placeholder="e.g. Voltron, Aristocrats, Storm..."
value={strategy}
onChange={e => setStrategy(e.target.value)}
className="w-full px-4 py-3 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
</div>
<div className="grid grid-cols-2 gap-4">
<div>
<label className="text-sm font-medium text-text-primary block mb-2">Target Bracket</label>
<select
value={bracket}
onChange={e => setBracket(Number(e.target.value))}
className="w-full px-4 py-3 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all"
>
<option value={1}>1 — Casual</option>
<option value={2}>2 — Low Power</option>
<option value={3}>3 — Mid Power</option>
<option value={4}>4 — High Power</option>
</select>
</div>
<div>
<label className="text-sm font-medium text-text-primary block mb-2">Budget (USD, optional)</label>
<input
type="number"
placeholder="No limit"
value={budget}
onChange={e => setBudget(e.target.value)}
className="w-full px-4 py-3 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
</div>
</div>
<div className="flex items-center gap-6">
<label className="flex items-center gap-2 cursor-pointer">
<input type="checkbox" checked={useCollection} onChange={e => setUseCollection(e.target.checked)}
className="w-4 h-4 rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30" />
<span className="text-sm text-text-secondary">Use collection cards</span>
</label>
<label className="flex items-center gap-2 cursor-pointer">
<input type="checkbox" checked={runSub} onChange={e => setRunSub(e.target.checked)}
className="w-4 h-4 rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30" />
<span className="text-sm text-text-secondary">Run substitution pass</span>
</label>
</div>
{error && (
<div className="flex items-center gap-2 px-4 py-3 bg-status-error/10 border border-status-error/30 rounded-lg text-sm text-status-error">
<AlertCircle className="w-4 h-4 flex-shrink-0" />
{error}
</div>
)}
<button
onClick={handleGenerate}
disabled={!commander || generating || !status?.initialized}
className="flex items-center gap-2 px-6 py-3 bg-accent-blue text-white text-sm font-semibold rounded-lg hover:bg-accent-blue-hover shadow-glow-blue transition-all disabled:opacity-50 disabled:shadow-none"
>
{generating ? (
<><Spinner size="sm" /> Generating...</>
) : (
<><Wand2 className="w-4 h-4" /> Generate Deck</>
)}
</button>
</div>
) : (
/* Results */
<div>
<button onClick={() => setResult(null)}
className="flex items-center gap-2 mb-4 text-sm text-text-secondary hover:text-text-primary transition-colors">
<ChevronDown className="w-4 h-4 rotate-90" />
Back to Config
</button>
<GeneratedDeckView result={result} onCommit={handleCommit} />
</div>
)}
</div>
)
}
@@ -1,415 +0,0 @@
import { useState, useEffect } from 'react'
import {
FlaskConical, Play, Clock, Trophy,
Upload, Link, FileText, History, ChevronRight, AlertCircle,
Check
} from 'lucide-react'
import { Spinner } from '../components/common'
import { labApi } from '../api'
import { usePolling } from '../hooks/usePolling'
import type { LabDeck, LabStatus, LabResult, LabHistoryEntry, PreconDeck } from '../types'
import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, Cell } from 'recharts'
// ── Results Chart ─────────────────────────────────────────────
function ResultsChart({ result }: { result: LabResult }) {
const data = result.decks
.sort((a, b) => b.win_rate - a.win_rate)
.map(d => ({
name: d.name.length > 20 ? d.name.slice(0, 18) + '...' : d.name,
win_rate: Math.round(d.win_rate * 100),
fullName: d.name,
}))
return (
<div className="h-64">
<ResponsiveContainer width="100%" height="100%">
<BarChart data={data} layout="vertical" barSize={20} margin={{ left: 10, right: 20 }}>
<XAxis type="number" domain={[0, 100]} tick={{ fill: '#6b7190', fontSize: 11 }} axisLine={false} tickLine={false} />
<YAxis type="category" dataKey="name" width={150} tick={{ fill: '#9ba1b8', fontSize: 11 }} axisLine={false} tickLine={false} />
<Tooltip
contentStyle={{ backgroundColor: '#1c2030', border: '1px solid #2a2f42', borderRadius: 8, fontSize: 12 }}
formatter={(value: unknown) => [`${value}%`, 'Win Rate']}
labelFormatter={(label: unknown) => data.find(d => d.name === String(label))?.fullName || String(label)}
/>
<Bar dataKey="win_rate" radius={[0, 4, 4, 0]}>
{data.map((_, i) => (
<Cell key={i} fill={i === 0 ? '#4ade80' : i === 1 ? '#4f6ef7' : '#363c54'} />
))}
</Bar>
</BarChart>
</ResponsiveContainer>
</div>
)
}
// ── Deck Selector ─────────────────────────────────────────────
function DeckSelector({
decks,
selected,
onToggle,
precons,
onInstallPrecon,
}: {
decks: LabDeck[]
selected: Set<string>
onToggle: (name: string) => void
precons: PreconDeck[]
onInstallPrecon: (name: string) => void
}) {
const [showPrecons, setShowPrecons] = useState(false)
const [installing, setInstalling] = useState<string | null>(null)
async function handleInstall(name: string) {
setInstalling(name)
await onInstallPrecon(name)
setInstalling(null)
}
return (
<div className="space-y-3">
<h3 className="text-sm font-semibold text-text-primary">Available Decks</h3>
{decks.length === 0 ? (
<p className="text-xs text-text-tertiary">No decks available. Import or install precons.</p>
) : (
<div className="space-y-1 max-h-64 overflow-y-auto">
{decks.map(d => (
<label key={d.name} className="flex items-center gap-3 px-3 py-2 rounded-lg hover:bg-bg-hover cursor-pointer transition-colors">
<input
type="checkbox"
checked={selected.has(d.name)}
onChange={() => onToggle(d.name)}
className="w-4 h-4 rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30"
/>
<div className="flex-1 min-w-0">
<span className="text-sm text-text-primary truncate block">{d.name}</span>
<span className="text-[10px] text-text-tertiary">{d.source} · {d.card_count} cards</span>
</div>
</label>
))}
</div>
)}
<button
onClick={() => setShowPrecons(!showPrecons)}
className="w-full flex items-center justify-between px-3 py-2 text-xs font-medium bg-bg-tertiary rounded-lg text-text-secondary hover:bg-bg-hover border border-border-primary transition-colors"
>
Precon Decks
<ChevronRight className={`w-3.5 h-3.5 transition-transform ${showPrecons ? 'rotate-90' : ''}`} />
</button>
{showPrecons && (
<div className="space-y-1 max-h-48 overflow-y-auto animate-fade-in">
{precons.map(p => (
<div key={p.name} className="flex items-center gap-3 px-3 py-2 rounded-lg bg-bg-tertiary">
<span className="flex-1 text-xs text-text-secondary truncate">{p.name}</span>
{p.installed ? (
<span className="text-[10px] text-accent-green flex items-center gap-1"><Check className="w-3 h-3" /> Installed</span>
) : (
<button
onClick={() => handleInstall(p.name)}
disabled={installing === p.name}
className="text-[10px] text-accent-blue hover:text-accent-blue-hover transition-colors"
>
{installing === p.name ? <Spinner size="sm" /> : 'Install'}
</button>
)}
</div>
))}
</div>
)}
</div>
)
}
// ── Import Panel ──────────────────────────────────────────────
function ImportPanel({ onImported }: { onImported: () => void }) {
const [importUrl, setImportUrl] = useState('')
const [importText, setImportText] = useState('')
const [importName, setImportName] = useState('')
const [importing, setImporting] = useState(false)
const [importMode, setImportMode] = useState<'url' | 'text'>('url')
async function handleImport() {
setImporting(true)
try {
if (importMode === 'url' && importUrl.trim()) {
await labApi.importDeckFromUrl(importUrl.trim())
} else if (importMode === 'text' && importText.trim()) {
await labApi.importDeckFromText(importText.trim(), importName || undefined)
}
setImportUrl('')
setImportText('')
setImportName('')
onImported()
} catch { /* ignore */ }
setImporting(false)
}
return (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-4 space-y-3">
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<Upload className="w-4 h-4 text-accent-blue" />
Import Deck
</h3>
<div className="flex gap-1">
<button onClick={() => setImportMode('url')}
className={`flex-1 px-3 py-1.5 text-xs font-medium rounded-lg transition-colors ${importMode === 'url' ? 'bg-accent-blue/15 text-accent-blue' : 'bg-bg-tertiary text-text-tertiary'}`}>
<Link className="w-3 h-3 inline mr-1" />URL
</button>
<button onClick={() => setImportMode('text')}
className={`flex-1 px-3 py-1.5 text-xs font-medium rounded-lg transition-colors ${importMode === 'text' ? 'bg-accent-blue/15 text-accent-blue' : 'bg-bg-tertiary text-text-tertiary'}`}>
<FileText className="w-3 h-3 inline mr-1" />Text
</button>
</div>
{importMode === 'url' ? (
<input
type="text"
placeholder="Moxfield, Archidekt, or deck URL..."
value={importUrl}
onChange={e => setImportUrl(e.target.value)}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
) : (
<>
<input
type="text"
placeholder="Deck name"
value={importName}
onChange={e => setImportName(e.target.value)}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
<textarea
placeholder={"1x Sol Ring\n1x Command Tower\n..."}
value={importText}
onChange={e => setImportText(e.target.value)}
rows={5}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary font-mono focus:outline-none focus:border-accent-blue/50 transition-all resize-none"
/>
</>
)}
<button onClick={handleImport} disabled={importing}
className="w-full px-4 py-2 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors disabled:opacity-50">
{importing ? <Spinner size="sm" /> : 'Import'}
</button>
</div>
)
}
// ── Main Batch Sim Page ───────────────────────────────────────
export function BatchSimPage() {
const [decks, setDecks] = useState<LabDeck[]>([])
const [precons, setPrecons] = useState<PreconDeck[]>([])
const [selected, setSelected] = useState<Set<string>>(new Set())
const [games, setGames] = useState(100)
const [status, setStatus] = useState<LabStatus | null>(null)
const [result, setResult] = useState<LabResult | null>(null)
const [history, setHistory] = useState<LabHistoryEntry[]>([])
const [loading, setLoading] = useState(true)
const [starting, setStarting] = useState(false)
const [error, setError] = useState<string | null>(null)
const [showHistory, setShowHistory] = useState(false)
async function fetchDecks() {
try {
const [d, p] = await Promise.all([labApi.getLabDecks(), labApi.getPrecons()])
setDecks(d)
setPrecons(p)
} catch { /* ignore */ }
setLoading(false)
}
useEffect(() => {
fetchDecks()
labApi.getLabStatus().then(setStatus).catch(() => {})
labApi.getLabHistory().then(setHistory).catch(() => {})
}, [])
// Poll while running
usePolling(async () => {
try {
const s = await labApi.getLabStatus()
setStatus(s)
if (!s.running && s.run_id) {
const r = await labApi.getLabResult()
setResult(r)
labApi.getLabHistory().then(setHistory).catch(() => {})
}
} catch { /* ignore */ }
}, 2000, status?.running || false)
function toggleDeck(name: string) {
setSelected(prev => {
const next = new Set(prev)
if (next.has(name)) next.delete(name)
else next.add(name)
return next
})
}
async function handleStart() {
if (selected.size < 2) { setError('Select at least 2 decks'); return }
setStarting(true)
setError(null)
setResult(null)
try {
await labApi.startBatchSim({ decks: [...selected], games })
const s = await labApi.getLabStatus()
setStatus(s)
} catch (e) {
setError(e instanceof Error ? e.message : 'Failed to start')
}
setStarting(false)
}
async function handleInstallPrecon(name: string) {
try {
await labApi.installPrecon(name)
fetchDecks()
} catch { /* ignore */ }
}
return (
<div className="p-6 space-y-5">
<div>
<h1 className="text-2xl font-bold text-text-primary flex items-center gap-3">
<FlaskConical className="w-6 h-6 text-accent-teal" />
Batch Simulator
</h1>
<p className="text-sm text-text-secondary mt-0.5">Run mass simulations between decks</p>
</div>
<div className="flex gap-5">
{/* Left sidebar: deck selection + import */}
<div className="w-72 flex-shrink-0 space-y-4">
{loading ? (
<div className="flex items-center justify-center h-32"><Spinner size="md" className="text-accent-blue" /></div>
) : (
<DeckSelector
decks={decks}
selected={selected}
onToggle={toggleDeck}
precons={precons}
onInstallPrecon={handleInstallPrecon}
/>
)}
<ImportPanel onImported={fetchDecks} />
</div>
{/* Main content */}
<div className="flex-1 space-y-5">
{/* Config + Start */}
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5">
<div className="flex items-center gap-4">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Games</label>
<input
type="number"
min={10}
max={10000}
step={10}
value={games}
onChange={e => setGames(Number(e.target.value))}
className="mt-1 w-28 px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
</div>
<div className="flex-1">
<p className="text-xs text-text-tertiary">Selected: {selected.size} decks</p>
</div>
{status?.running ? (
<div className="flex items-center gap-3">
<div className="flex items-center gap-2">
<Spinner size="sm" className="text-accent-blue" />
<span className="text-sm text-text-secondary">
{status.games_completed} / {status.total_games} games
</span>
</div>
<div className="w-48 h-2 bg-bg-tertiary rounded-full overflow-hidden">
<div
className="h-full bg-accent-blue rounded-full transition-all"
style={{ width: `${status.total_games ? (status.games_completed / status.total_games) * 100 : 0}%` }}
/>
</div>
</div>
) : (
<button onClick={handleStart} disabled={starting || selected.size < 2}
className="flex items-center gap-2 px-5 py-2.5 bg-accent-teal/15 text-accent-teal text-sm font-semibold rounded-lg hover:bg-accent-teal/25 border border-accent-teal/30 transition-colors disabled:opacity-50">
{starting ? <Spinner size="sm" /> : <Play className="w-4 h-4" />}
Start Simulation
</button>
)}
</div>
{error && (
<div className="mt-3 flex items-center gap-2 px-4 py-2 bg-status-error/10 border border-status-error/30 rounded-lg text-sm text-status-error">
<AlertCircle className="w-4 h-4" />{error}
</div>
)}
</div>
{/* Results */}
{result && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 space-y-4 animate-fade-in">
<div className="flex items-center justify-between">
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<Trophy className="w-4 h-4 text-accent-amber" />
Results
</h3>
<span className="text-xs text-text-tertiary">{result.total_games} games · {new Date(result.timestamp).toLocaleString()}</span>
</div>
<ResultsChart result={result} />
<div className="overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border-primary">
<th className="px-3 py-2 text-left text-xs text-text-tertiary font-medium uppercase tracking-wider">Deck</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium uppercase tracking-wider">Wins</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium uppercase tracking-wider">Games</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium uppercase tracking-wider">Win Rate</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium uppercase tracking-wider">Avg Turns</th>
</tr>
</thead>
<tbody className="divide-y divide-border-primary">
{result.decks.sort((a, b) => b.win_rate - a.win_rate).map((d, i) => (
<tr key={d.name} className="hover:bg-bg-hover transition-colors">
<td className="px-3 py-2.5 flex items-center gap-2">
{i === 0 && <Trophy className="w-3.5 h-3.5 text-accent-amber" />}
<span className="font-medium text-text-primary">{d.name}</span>
</td>
<td className="px-3 py-2.5 text-right text-text-secondary">{d.wins}</td>
<td className="px-3 py-2.5 text-right text-text-secondary">{d.games}</td>
<td className="px-3 py-2.5 text-right font-semibold text-accent-blue">{(d.win_rate * 100).toFixed(1)}%</td>
<td className="px-3 py-2.5 text-right text-text-secondary">{d.avg_turns.toFixed(1)}</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
)}
{/* History */}
<div>
<button onClick={() => setShowHistory(!showHistory)}
className="flex items-center gap-2 text-sm text-text-secondary hover:text-text-primary transition-colors">
<History className="w-4 h-4" />
Run History ({history.length})
<ChevronRight className={`w-3.5 h-3.5 transition-transform ${showHistory ? 'rotate-90' : ''}`} />
</button>
{showHistory && history.length > 0 && (
<div className="mt-3 space-y-2 animate-fade-in">
{history.map(h => (
<div key={h.run_id} className="flex items-center gap-4 px-4 py-3 bg-bg-secondary rounded-lg border border-border-primary">
<Clock className="w-4 h-4 text-text-tertiary" />
<div className="flex-1">
<p className="text-sm text-text-primary">{h.decks.join(' vs ')}</p>
<p className="text-xs text-text-tertiary">{new Date(h.timestamp).toLocaleString()} · {h.total_games} games</p>
</div>
</div>
))}
</div>
)}
</div>
</div>
</div>
</div>
)
}
@@ -1,949 +0,0 @@
import { useState, useEffect, useRef, useCallback } from 'react'
import {
GraduationCap, MessageSquare, Send, Sparkles, AlertCircle, X, Check,
ChevronRight, ChevronDown, Download, Settings2, Search, Zap,
Minus, Plus, History, ArrowRightLeft, Lightbulb, DollarSign, Loader2,
ClipboardList, Brain, BarChart3
} from 'lucide-react'
import { Spinner, StatusBadge, EmptyState } from '../components/common'
import { coachApi } from '../api'
import type {
CoachStatus, CoachDeck, CoachSession, CoachSessionSummary,
CoachMessage, CoachGoals, CoachApplyResult, CoachCardLikeResult
} from '../types'
// ════════════════════════════════════════════════════════════
// Goals Config Panel
// ════════════════════════════════════════════════════════════
function GoalsPanel({
goals, onChange, collapsed, onToggle
}: {
goals: CoachGoals
onChange: (g: CoachGoals) => void
collapsed: boolean
onToggle: () => void
}) {
const strategies = ['aggro', 'control', 'combo', 'midrange', 'stax', 'voltron', 'aristocrats', 'tokens']
const budgets = [
{ value: 'budget', label: 'Budget', desc: 'Under $5/card' },
{ value: 'medium', label: 'Medium', desc: 'Under $20/card' },
{ value: 'no-limit', label: 'No Limit', desc: 'Any price' },
]
const focusOptions = ['ramp', 'card draw', 'removal', 'protection', 'threats', 'mana base', 'combos', 'synergy']
return (
<div className="bg-bg-secondary rounded-xl border border-border-primary">
<button
onClick={onToggle}
className="w-full flex items-center gap-2 px-4 py-3 text-left hover:bg-bg-hover transition-colors rounded-xl"
>
<Settings2 className="w-4 h-4 text-accent-teal" />
<span className="text-sm font-medium text-text-primary flex-1">Coaching Goals</span>
{collapsed ? <ChevronRight className="w-4 h-4 text-text-tertiary" /> : <ChevronDown className="w-4 h-4 text-text-tertiary" />}
</button>
{!collapsed && (
<div className="px-4 pb-4 space-y-4 border-t border-border-primary pt-3">
{/* Power Level Slider */}
<div>
<label className="text-xs font-medium text-text-secondary mb-1 block">
Power Level: {goals.targetPowerLevel ?? 'Any'}
</label>
<input
type="range" min={1} max={10}
value={goals.targetPowerLevel ?? 5}
onChange={e => onChange({ ...goals, targetPowerLevel: parseInt(e.target.value) })}
className="w-full accent-accent-teal"
/>
<div className="flex justify-between text-[10px] text-text-tertiary">
<span>Casual</span><span>Focused</span><span>cEDH</span>
</div>
</div>
{/* Strategy */}
<div>
<label className="text-xs font-medium text-text-secondary mb-1.5 block">Strategy Focus</label>
<div className="flex flex-wrap gap-1.5">
{strategies.map(s => (
<button
key={s}
onClick={() => onChange({ ...goals, metaFocus: goals.metaFocus === s ? null : s })}
className={`px-2.5 py-1 text-xs rounded-full border transition-colors ${
goals.metaFocus === s
? 'bg-accent-teal/20 border-accent-teal/40 text-accent-teal'
: 'border-border-primary text-text-tertiary hover:border-border-secondary'
}`}
>
{s}
</button>
))}
</div>
</div>
{/* Budget */}
<div>
<label className="text-xs font-medium text-text-secondary mb-1.5 block">Budget</label>
<div className="grid grid-cols-3 gap-2">
{budgets.map(b => (
<button
key={b.value}
onClick={() => onChange({ ...goals, budget: goals.budget === b.value ? null : b.value })}
className={`px-3 py-2 text-xs rounded-lg border transition-colors ${
goals.budget === b.value
? 'bg-accent-teal/20 border-accent-teal/40 text-accent-teal'
: 'border-border-primary text-text-tertiary hover:border-border-secondary'
}`}
>
<div className="font-medium">{b.label}</div>
<div className="text-[10px] opacity-60">{b.desc}</div>
</button>
))}
</div>
</div>
{/* Focus Areas */}
<div>
<label className="text-xs font-medium text-text-secondary mb-1.5 block">Focus Areas</label>
<div className="flex flex-wrap gap-1.5">
{focusOptions.map(f => {
const active = (goals.focusAreas || []).includes(f)
return (
<button
key={f}
onClick={() => {
const areas = goals.focusAreas || []
onChange({
...goals,
focusAreas: active ? areas.filter(a => a !== f) : [...areas, f]
})
}}
className={`px-2.5 py-1 text-xs rounded-full border transition-colors ${
active
? 'bg-accent-blue/20 border-accent-blue/40 text-accent-blue'
: 'border-border-primary text-text-tertiary hover:border-border-secondary'
}`}
>
{f}
</button>
)
})}
</div>
</div>
</div>
)}
</div>
)
}
// ════════════════════════════════════════════════════════════
// Session View — Shows coaching results with apply functionality
// ════════════════════════════════════════════════════════════
function SessionView({
session, deckId, onClose, onApplied
}: {
session: CoachSession
deckId: number
onClose: () => void
onApplied?: () => void
}) {
const [selectedCuts, setSelectedCuts] = useState<Set<string>>(new Set())
const [selectedAdds, setSelectedAdds] = useState<Set<string>>(new Set())
const [applying, setApplying] = useState(false)
const [applyResult, setApplyResult] = useState<CoachApplyResult | null>(null)
const toggleCut = (name: string) => {
const s = new Set(selectedCuts)
s.has(name) ? s.delete(name) : s.add(name)
setSelectedCuts(s)
}
const toggleAdd = (name: string) => {
const s = new Set(selectedAdds)
s.has(name) ? s.delete(name) : s.add(name)
setSelectedAdds(s)
}
const handleApply = async () => {
if (selectedCuts.size === 0 && selectedAdds.size === 0) return
setApplying(true)
try {
const result = await coachApi.applyCoachSuggestions(
session.sessionId, deckId,
[...selectedCuts], [...selectedAdds]
)
setApplyResult(result)
onApplied?.()
} catch (e) {
console.error('Apply failed:', e)
}
setApplying(false)
}
return (
<div className="space-y-5">
<div className="flex items-center justify-between">
<div>
<h3 className="text-lg font-semibold text-text-primary">Coaching Session</h3>
<p className="text-xs text-text-tertiary">
{new Date(session.timestamp).toLocaleString()} · {session.modelUsed}
{session.promptTokens > 0 && ` · ${session.promptTokens + session.completionTokens} tokens`}
</p>
</div>
<button onClick={onClose} className="p-1.5 rounded-lg hover:bg-bg-hover text-text-tertiary">
<X className="w-4 h-4" />
</button>
</div>
{/* Summary */}
{session.summary && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-4">
<h4 className="text-xs font-medium text-text-secondary mb-2 flex items-center gap-1.5">
<Brain className="w-3.5 h-3.5" /> Summary
</h4>
<p className="text-sm text-text-primary leading-relaxed">{session.summary}</p>
</div>
)}
{/* Heuristic Hints */}
{session.heuristicHints?.length > 0 && (
<div className="bg-accent-amber/5 rounded-xl border border-accent-amber/20 p-4">
<h4 className="text-xs font-medium text-accent-amber mb-2 flex items-center gap-1.5">
<Lightbulb className="w-3.5 h-3.5" /> Strategic Tips
</h4>
<ul className="space-y-1.5">
{session.heuristicHints.map((h, i) => (
<li key={i} className="text-sm text-text-primary flex items-start gap-2">
<span className="text-accent-amber mt-0.5">•</span> {h}
</li>
))}
</ul>
</div>
)}
{/* Mana Base Advice */}
{session.manaBaseAdvice && (
<div className="bg-accent-blue/5 rounded-xl border border-accent-blue/20 p-4">
<h4 className="text-xs font-medium text-accent-blue mb-2 flex items-center gap-1.5">
<BarChart3 className="w-3.5 h-3.5" /> Mana Base
</h4>
<p className="text-sm text-text-primary">{session.manaBaseAdvice}</p>
</div>
)}
{/* Suggested Cuts */}
{session.suggestedCuts?.length > 0 && (
<div>
<h4 className="text-sm font-medium text-status-error mb-2 flex items-center gap-1.5">
<Minus className="w-4 h-4" /> Suggested Cuts ({session.suggestedCuts.length})
</h4>
<div className="space-y-2">
{session.suggestedCuts.map((cut, i) => (
<div
key={i}
onClick={() => toggleCut(cut.cardName)}
className={`flex items-start gap-3 p-3 rounded-lg border cursor-pointer transition-colors ${
selectedCuts.has(cut.cardName)
? 'bg-status-error/10 border-status-error/30'
: 'bg-bg-secondary border-border-primary hover:border-border-secondary'
}`}
>
<div className={`mt-0.5 w-4 h-4 rounded border flex items-center justify-center flex-shrink-0 ${
selectedCuts.has(cut.cardName)
? 'bg-status-error border-status-error text-white'
: 'border-border-secondary'
}`}>
{selectedCuts.has(cut.cardName) && <Check className="w-3 h-3" />}
</div>
<div className="flex-1 min-w-0">
<p className="text-sm font-medium text-text-primary">{cut.cardName}</p>
<p className="text-xs text-text-secondary mt-0.5">{cut.reason}</p>
{cut.replacementOptions?.length > 0 && (
<p className="text-[10px] text-text-tertiary mt-1">
Replace with: {cut.replacementOptions.join(', ')}
</p>
)}
</div>
</div>
))}
</div>
</div>
)}
{/* Suggested Adds */}
{session.suggestedAdds?.length > 0 && (
<div>
<h4 className="text-sm font-medium text-status-success mb-2 flex items-center gap-1.5">
<Plus className="w-4 h-4" /> Suggested Adds ({session.suggestedAdds.length})
</h4>
<div className="space-y-2">
{session.suggestedAdds.map((add, i) => (
<div
key={i}
onClick={() => toggleAdd(add.cardName)}
className={`flex items-start gap-3 p-3 rounded-lg border cursor-pointer transition-colors ${
selectedAdds.has(add.cardName)
? 'bg-status-success/10 border-status-success/30'
: 'bg-bg-secondary border-border-primary hover:border-border-secondary'
}`}
>
<div className={`mt-0.5 w-4 h-4 rounded border flex items-center justify-center flex-shrink-0 ${
selectedAdds.has(add.cardName)
? 'bg-status-success border-status-success text-white'
: 'border-border-secondary'
}`}>
{selectedAdds.has(add.cardName) && <Check className="w-3 h-3" />}
</div>
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<p className="text-sm font-medium text-text-primary">{add.cardName}</p>
{add.role && (
<span className="px-1.5 py-0.5 text-[10px] bg-accent-blue/15 text-accent-blue rounded">
{add.role}
</span>
)}
</div>
<p className="text-xs text-text-secondary mt-0.5">{add.reason}</p>
{add.synergyWith?.length > 0 && (
<p className="text-[10px] text-text-tertiary mt-1">
Synergy: {add.synergyWith.join(', ')}
</p>
)}
</div>
</div>
))}
</div>
</div>
)}
{/* Apply Button */}
{!applyResult && (selectedCuts.size > 0 || selectedAdds.size > 0) && (
<div className="sticky bottom-0 bg-bg-primary/95 backdrop-blur-sm border-t border-border-primary py-3 -mx-6 px-6">
<button
onClick={handleApply}
disabled={applying}
className="w-full flex items-center justify-center gap-2 px-4 py-2.5 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors disabled:opacity-50"
>
{applying ? <Spinner size="sm" /> : <ArrowRightLeft className="w-4 h-4" />}
Apply {selectedCuts.size > 0 && `${selectedCuts.size} cuts`}
{selectedCuts.size > 0 && selectedAdds.size > 0 && ' + '}
{selectedAdds.size > 0 && `${selectedAdds.size} adds`} to Deck
</button>
</div>
)}
{/* Apply Results */}
{applyResult && (
<div className="bg-status-success/5 rounded-xl border border-status-success/20 p-4">
<h4 className="text-sm font-medium text-status-success mb-2 flex items-center gap-1.5">
<Check className="w-4 h-4" /> Changes Applied
</h4>
<p className="text-sm text-text-primary">
{applyResult.total_cuts > 0 && `Removed ${applyResult.total_cuts} card(s). `}
{applyResult.total_adds > 0 && `Added ${applyResult.total_adds} card(s). `}
{applyResult.errors.length > 0 && `${applyResult.errors.length} error(s).`}
</p>
{applyResult.errors.length > 0 && (
<ul className="mt-2 text-xs text-status-error">
{applyResult.errors.map((e, i) => (
<li key={i}>{e.name}: {e.error}</li>
))}
</ul>
)}
</div>
)}
{/* Raw Explanation */}
{session.rawTextExplanation && (
<details className="group">
<summary className="text-xs text-text-tertiary cursor-pointer hover:text-text-secondary">
Full analysis...
</summary>
<p className="mt-2 text-sm text-text-secondary whitespace-pre-wrap leading-relaxed bg-bg-secondary rounded-lg p-4 border border-border-primary">
{session.rawTextExplanation}
</p>
</details>
)}
</div>
)
}
// ════════════════════════════════════════════════════════════
// Cards Like Search
// ════════════════════════════════════════════════════════════
function CardsLikePanel() {
const [query, setQuery] = useState('')
const [results, setResults] = useState<CoachCardLikeResult[]>([])
const [searching, setSearching] = useState(false)
const handleSearch = async () => {
if (!query.trim()) return
setSearching(true)
try {
const data = await coachApi.searchCardsLike(query.trim(), undefined, 12)
setResults(data.results)
} catch { /* ignore */ }
setSearching(false)
}
return (
<div className="space-y-4">
<div className="flex gap-2">
<div className="relative flex-1">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 w-4 h-4 text-text-tertiary" />
<input
value={query}
onChange={e => setQuery(e.target.value)}
onKeyDown={e => e.key === 'Enter' && handleSearch()}
placeholder="Enter a card name..."
className="w-full pl-9 pr-3 py-2 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue"
/>
</div>
<button
onClick={handleSearch}
disabled={searching || !query.trim()}
className="px-4 py-2 bg-accent-teal/15 text-accent-teal text-sm font-medium rounded-lg hover:bg-accent-teal/25 border border-accent-teal/30 transition-colors disabled:opacity-50"
>
{searching ? <Spinner size="sm" /> : 'Search'}
</button>
</div>
{results.length > 0 && (
<div className="grid grid-cols-1 md:grid-cols-2 gap-2">
{results.map((card, i) => (
<div key={i} className="flex items-start gap-3 p-3 bg-bg-secondary rounded-lg border border-border-primary">
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<p className="text-sm font-medium text-text-primary truncate">{card.name}</p>
<span className="text-[10px] text-text-tertiary whitespace-nowrap">
{(card.similarity * 100).toFixed(0)}%
</span>
</div>
<p className="text-[11px] text-text-secondary mt-0.5">{card.types}</p>
{card.text && (
<p className="text-[10px] text-text-tertiary mt-1 line-clamp-2">{card.text}</p>
)}
<div className="flex items-center gap-3 mt-1.5 text-[10px]">
{card.tcg_price != null && (
<span className="text-accent-amber flex items-center gap-0.5">
<DollarSign className="w-2.5 h-2.5" />{card.tcg_price.toFixed(2)}
</span>
)}
{card.owned_qty > 0 && (
<span className="text-status-success">Owned: {card.owned_qty}</span>
)}
<span className="text-text-tertiary">MV: {card.mana_value}</span>
</div>
</div>
{card.image_url && (
<img src={card.image_url} alt={card.name} className="w-14 h-auto rounded" />
)}
</div>
))}
</div>
)}
</div>
)
}
// ════════════════════════════════════════════════════════════
// Live Chat View
// ════════════════════════════════════════════════════════════
function LiveChat({
deckId, deckName, goals, onClose
}: {
deckId: string
deckName: string
goals: CoachGoals
onClose: () => void
}) {
const [messages, setMessages] = useState<CoachMessage[]>([])
const [input, setInput] = useState('')
const [streaming, setStreaming] = useState(false)
const [streamText, setStreamText] = useState('')
const messagesEndRef = useRef<HTMLDivElement>(null)
const abortRef = useRef<AbortController | null>(null)
useEffect(() => {
messagesEndRef.current?.scrollIntoView({ behavior: 'smooth' })
}, [messages, streamText])
const sendMessage = async () => {
if (!input.trim() || streaming) return
const userMsg: CoachMessage = { role: 'user', content: input.trim() }
const allMessages = [...messages, userMsg]
setMessages(allMessages)
setInput('')
setStreaming(true)
setStreamText('')
const goalsDict = goals.targetPowerLevel || goals.metaFocus || goals.budget || (goals.focusAreas || []).length > 0
? {
targetPowerLevel: goals.targetPowerLevel,
metaFocus: goals.metaFocus,
budget: goals.budget,
focusAreas: goals.focusAreas,
}
: undefined
try {
abortRef.current = new AbortController()
const fullText = await coachApi.coachChatStream(
deckId,
allMessages.map(m => ({ role: m.role, content: m.content })),
goalsDict,
(text) => setStreamText(text),
abortRef.current.signal
)
setMessages(prev => [...prev, { role: 'assistant', content: fullText }])
setStreamText('')
} catch (e) {
if ((e as Error).name !== 'AbortError') {
// Fallback to non-streaming
try {
const resp = await coachApi.coachChat(
deckId,
allMessages.map(m => ({ role: m.role, content: m.content })),
goalsDict
)
setMessages(prev => [...prev, { role: 'assistant', content: resp.content }])
} catch (e2) {
setMessages(prev => [...prev, {
role: 'assistant',
content: `Error: ${(e2 as Error).message || 'Failed to get response'}`
}])
}
}
setStreamText('')
}
setStreaming(false)
}
return (
<div className="flex flex-col h-[calc(100vh-180px)]">
{/* Header */}
<div className="flex items-center justify-between px-4 py-3 border-b border-border-primary">
<div>
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<MessageSquare className="w-4 h-4 text-accent-blue" />
Chat: {deckName}
</h3>
<p className="text-[10px] text-text-tertiary">
{goals.metaFocus && `${goals.metaFocus} · `}
{goals.targetPowerLevel && `Power ${goals.targetPowerLevel} · `}
{goals.budget && `${goals.budget}`}
</p>
</div>
<button onClick={onClose} className="p-1.5 rounded-lg hover:bg-bg-hover text-text-tertiary">
<X className="w-4 h-4" />
</button>
</div>
{/* Messages */}
<div className="flex-1 overflow-y-auto p-4 space-y-3">
{messages.length === 0 && !streaming && (
<div className="text-center py-12">
<GraduationCap className="w-10 h-10 text-text-tertiary mx-auto mb-3" />
<p className="text-sm text-text-secondary">Ask your coach anything about this deck.</p>
<div className="mt-4 flex flex-wrap gap-2 justify-center">
{[
'What should I cut?',
'How is my mana curve?',
'Suggest win conditions',
'Rate my removal suite',
].map(q => (
<button
key={q}
onClick={() => { setInput(q); }}
className="px-3 py-1.5 text-xs bg-bg-secondary border border-border-primary rounded-full text-text-secondary hover:text-text-primary hover:border-border-secondary transition-colors"
>
{q}
</button>
))}
</div>
</div>
)}
{messages.map((msg, i) => (
<div key={i} className={`flex ${msg.role === 'user' ? 'justify-end' : 'justify-start'}`}>
<div className={`max-w-[85%] px-4 py-3 rounded-xl text-sm whitespace-pre-wrap leading-relaxed ${
msg.role === 'user'
? 'bg-accent-blue/15 text-text-primary border border-accent-blue/20'
: 'bg-bg-secondary text-text-primary border border-border-primary'
}`}>
{msg.content}
</div>
</div>
))}
{/* Streaming indicator */}
{streaming && (
<div className="flex justify-start">
<div className="max-w-[85%] px-4 py-3 rounded-xl text-sm whitespace-pre-wrap leading-relaxed bg-bg-secondary text-text-primary border border-border-primary">
{streamText || (
<span className="flex items-center gap-2 text-text-tertiary">
<Loader2 className="w-3.5 h-3.5 animate-spin" />
Thinking...
</span>
)}
</div>
</div>
)}
<div ref={messagesEndRef} />
</div>
{/* Input */}
<div className="border-t border-border-primary p-3">
<div className="flex gap-2">
<input
value={input}
onChange={e => setInput(e.target.value)}
onKeyDown={e => e.key === 'Enter' && !e.shiftKey && sendMessage()}
placeholder="Ask the coach..."
disabled={streaming}
className="flex-1 px-3 py-2 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue disabled:opacity-50"
/>
<button
onClick={sendMessage}
disabled={streaming || !input.trim()}
className="px-3 py-2 bg-accent-blue text-white rounded-lg hover:bg-accent-blue-hover transition-colors disabled:opacity-50"
>
<Send className="w-4 h-4" />
</button>
</div>
</div>
</div>
)
}
// ════════════════════════════════════════════════════════════
// Main Coach Page
// ════════════════════════════════════════════════════════════
type Tab = 'decks' | 'chat' | 'session' | 'history' | 'search'
export function CoachPage() {
const [status, setStatus] = useState<CoachStatus | null>(null)
const [decks, setDecks] = useState<CoachDeck[]>([])
const [sessions, setSessions] = useState<CoachSessionSummary[]>([])
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
// UI state
const [tab, setTab] = useState<Tab>('decks')
const [selectedDeck, setSelectedDeck] = useState<CoachDeck | null>(null)
const [selectedSession, setSelectedSession] = useState<CoachSession | null>(null)
const [goals, setGoals] = useState<CoachGoals>({})
const [goalsCollapsed, setGoalsCollapsed] = useState(true)
const [generatingReport, setGeneratingReport] = useState(false)
const [runningSession, setRunningSession] = useState<number | null>(null)
const [downloadingEmbeddings, setDownloadingEmbeddings] = useState(false)
const loadData = useCallback(async () => {
try {
const [s, d, sess] = await Promise.all([
coachApi.getCoachStatus(),
coachApi.getCoachDecks().catch(() => []),
coachApi.getCoachSessions().catch(() => ({ sessions: [] })),
])
setStatus(s)
setDecks(Array.isArray(d) ? d : [])
setSessions(Array.isArray(sess) ? sess : (sess as { sessions: CoachSessionSummary[] }).sessions || [])
} catch { /* ignore */ }
setLoading(false)
}, [])
useEffect(() => { loadData() }, [loadData])
const handleDownloadEmbeddings = async () => {
setDownloadingEmbeddings(true)
try {
await coachApi.downloadEmbeddings()
const s = await coachApi.getCoachStatus()
setStatus(s)
} catch { /* ignore */ }
setDownloadingEmbeddings(false)
}
const handleGenerateReports = async () => {
setGeneratingReport(true)
setError(null)
try {
await coachApi.generateReport()
await loadData()
} catch (e) {
setError(e instanceof Error ? e.message : 'Report generation failed')
}
setGeneratingReport(false)
}
const handleRunSession = async (deck: CoachDeck) => {
setRunningSession(deck.deck_id)
setError(null)
try {
const deckSlug = deck.deck_name.toLowerCase().replace(/\s+/g, '-')
const goalsDict = goals.targetPowerLevel || goals.metaFocus || goals.budget || (goals.focusAreas || []).length > 0
? goals : undefined
const session = await coachApi.runCoachSession(deckSlug, goalsDict as Record<string, unknown>)
setSelectedSession(session)
setSelectedDeck(deck)
setTab('session')
await loadData()
} catch (e) {
setError(e instanceof Error ? e.message : 'Session failed')
}
setRunningSession(null)
}
const handleOpenChat = (deck: CoachDeck) => {
setSelectedDeck(deck)
setTab('chat')
}
const handleViewSession = async (sessionId: string) => {
try {
const s = await coachApi.getCoachSession(sessionId)
setSelectedSession(s)
// Find the matching deck
const matchDeck = decks.find(d =>
d.deck_name.toLowerCase().replace(/\s+/g, '-') === s.deckId.toLowerCase() ||
d.deck_name.toLowerCase() === s.deckId.toLowerCase()
)
if (matchDeck) setSelectedDeck(matchDeck)
setTab('session')
} catch { /* ignore */ }
}
if (loading) {
return (
<div className="p-6 flex items-center justify-center h-64">
<Spinner size="lg" className="text-accent-blue" />
</div>
)
}
return (
<div className="p-6 space-y-5">
{/* Header */}
<div className="flex items-center justify-between">
<div>
<h1 className="text-2xl font-bold text-text-primary flex items-center gap-3">
<GraduationCap className="w-6 h-6 text-accent-amber" />
Deck Coach
</h1>
<p className="text-sm text-text-secondary mt-0.5">
AI-powered deck analysis, coaching, and live chat
</p>
</div>
</div>
{/* Status Bar */}
<div className="flex items-center gap-3 flex-wrap">
<StatusBadge
variant={status?.llmConnected ? 'success' : 'warning'}
label={status?.llmConnected ? `LLM: ${status.llmModel || 'Connected'}` : 'LLM: Disconnected'}
/>
<StatusBadge
variant={status?.embeddingsLoaded ? 'success' : 'neutral'}
label={status?.embeddingsLoaded ? `${(status.embeddingCards || 0).toLocaleString()} embeddings` : 'No embeddings'}
/>
{status?.deckReportsAvailable != null && status.deckReportsAvailable > 0 && (
<StatusBadge variant="success" label={`${status.deckReportsAvailable} reports`} />
)}
{!status?.embeddingsLoaded && (
<button onClick={handleDownloadEmbeddings} disabled={downloadingEmbeddings}
className="flex items-center gap-1.5 text-xs text-accent-blue hover:text-accent-blue-hover transition-colors disabled:opacity-50">
{downloadingEmbeddings ? <Spinner size="sm" /> : <Download className="w-3 h-3" />}
Download Embeddings
</button>
)}
</div>
{error && (
<div className="flex items-center gap-2 px-4 py-2 bg-status-error/10 border border-status-error/30 rounded-lg text-sm text-status-error">
<AlertCircle className="w-4 h-4 flex-shrink-0" />{error}
<button onClick={() => setError(null)} className="ml-auto"><X className="w-3 h-3" /></button>
</div>
)}
{/* Tab Nav */}
<div className="flex gap-1 bg-bg-secondary rounded-lg p-1 border border-border-primary">
{([
{ id: 'decks', label: 'Decks', icon: ClipboardList },
{ id: 'history', label: 'Sessions', icon: History },
{ id: 'search', label: 'Cards Like', icon: Search },
] as { id: Tab; label: string; icon: typeof ClipboardList }[]).map(t => (
<button
key={t.id}
onClick={() => setTab(t.id)}
className={`flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-md transition-colors ${
tab === t.id
? 'bg-bg-primary text-text-primary shadow-sm'
: 'text-text-tertiary hover:text-text-secondary'
}`}
>
<t.icon className="w-3.5 h-3.5" />
{t.label}
{t.id === 'history' && sessions.length > 0 && (
<span className="text-[10px] bg-bg-tertiary px-1.5 rounded-full">{sessions.length}</span>
)}
</button>
))}
{tab === 'chat' && selectedDeck && (
<div className="flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-md bg-bg-primary text-accent-blue shadow-sm">
<MessageSquare className="w-3.5 h-3.5" />
Chat
</div>
)}
{tab === 'session' && selectedSession && (
<div className="flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium rounded-md bg-bg-primary text-accent-amber shadow-sm">
<Sparkles className="w-3.5 h-3.5" />
Results
</div>
)}
</div>
{/* Goals Panel (shown when on decks tab) */}
{tab === 'decks' && (
<GoalsPanel
goals={goals}
onChange={setGoals}
collapsed={goalsCollapsed}
onToggle={() => setGoalsCollapsed(!goalsCollapsed)}
/>
)}
{/* ── Decks Tab ─────────────────────────────────────── */}
{tab === 'decks' && (
<div className="space-y-4">
<div className="flex items-center justify-between">
<h2 className="text-sm font-semibold text-text-primary">Your Decks</h2>
<button
onClick={handleGenerateReports}
disabled={generatingReport}
className="flex items-center gap-1.5 text-xs text-accent-amber hover:text-accent-amber transition-colors disabled:opacity-50"
>
{generatingReport ? <Spinner size="sm" /> : <Zap className="w-3 h-3" />}
Generate Reports
</button>
</div>
{decks.length === 0 ? (
<EmptyState
icon={GraduationCap}
title="No decks available"
description="Create decks in the Deck Builder to start coaching."
/>
) : (
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-3">
{decks.map(deck => (
<div key={deck.deck_id} className="bg-bg-secondary rounded-xl border border-border-primary p-4 space-y-3">
<div>
<h3 className="text-sm font-semibold text-text-primary">{deck.deck_name}</h3>
<p className="text-xs text-text-secondary">{deck.commander}</p>
</div>
<div className="flex items-center gap-3 text-[10px] text-text-tertiary">
<span>{deck.card_count} cards</span>
{deck.has_report && (
<span className="flex items-center gap-1 text-status-success">
<Check className="w-2.5 h-2.5" /> Report
</span>
)}
</div>
<div className="flex items-center gap-2">
<button
onClick={() => handleRunSession(deck)}
disabled={runningSession === deck.deck_id || !status?.llmConnected}
className="flex-1 flex items-center justify-center gap-1.5 px-3 py-2 bg-accent-amber/15 text-accent-amber text-xs font-medium rounded-lg hover:bg-accent-amber/25 border border-accent-amber/30 transition-colors disabled:opacity-50"
>
{runningSession === deck.deck_id ? <Spinner size="sm" /> : <Sparkles className="w-3 h-3" />}
Analyze
</button>
<button
onClick={() => handleOpenChat(deck)}
disabled={!status?.llmConnected}
className="flex-1 flex items-center justify-center gap-1.5 px-3 py-2 bg-accent-blue/15 text-accent-blue text-xs font-medium rounded-lg hover:bg-accent-blue/25 border border-accent-blue/30 transition-colors disabled:opacity-50"
>
<MessageSquare className="w-3 h-3" />
Chat
</button>
</div>
</div>
))}
</div>
)}
</div>
)}
{/* ── Chat Tab ──────────────────────────────────────── */}
{tab === 'chat' && selectedDeck && (
<LiveChat
deckId={selectedDeck.deck_name.toLowerCase().replace(/\s+/g, '-')}
deckName={selectedDeck.deck_name}
goals={goals}
onClose={() => setTab('decks')}
/>
)}
{/* ── Session Results Tab ───────────────────────────── */}
{tab === 'session' && selectedSession && selectedDeck && (
<SessionView
session={selectedSession}
deckId={selectedDeck.deck_id}
onClose={() => setTab('decks')}
onApplied={() => loadData()}
/>
)}
{/* ── History Tab ───────────────────────────────────── */}
{tab === 'history' && (
<div className="space-y-3">
<h2 className="text-sm font-semibold text-text-primary">Coaching Sessions</h2>
{sessions.length === 0 ? (
<EmptyState
icon={History}
title="No sessions yet"
description="Run an analysis on a deck to create your first coaching session."
/>
) : (
<div className="space-y-2">
{sessions.map(s => (
<button
key={s.sessionId}
onClick={() => handleViewSession(s.sessionId)}
className="w-full flex items-center gap-4 px-4 py-3 bg-bg-secondary rounded-lg border border-border-primary hover:border-border-secondary text-left transition-colors"
>
<Sparkles className="w-4 h-4 text-accent-amber flex-shrink-0" />
<div className="flex-1 min-w-0">
<div className="flex items-center gap-2">
<p className="text-sm font-medium text-text-primary">{s.deckId}</p>
<span className="text-[10px] text-text-tertiary">
{s.cutsCount > 0 && `${s.cutsCount} cuts`}
{s.cutsCount > 0 && s.addsCount > 0 && ' · '}
{s.addsCount > 0 && `${s.addsCount} adds`}
</span>
</div>
<p className="text-xs text-text-tertiary mt-0.5 truncate">{s.summary || 'No summary'}</p>
<p className="text-[10px] text-text-tertiary mt-0.5">{new Date(s.timestamp).toLocaleString()}</p>
</div>
<ChevronRight className="w-4 h-4 text-text-tertiary flex-shrink-0" />
</button>
))}
</div>
)}
</div>
)}
{/* ── Cards Like Tab ────────────────────────────────── */}
{tab === 'search' && (
<div className="space-y-4">
<div>
<h2 className="text-sm font-semibold text-text-primary mb-1">Cards Like This</h2>
<p className="text-xs text-text-secondary">
Find similar cards using AI embeddings. Search by card name to discover alternatives.
</p>
</div>
<CardsLikePanel />
</div>
)}
</div>
)
}
@@ -1,484 +0,0 @@
import { useState, useEffect, useCallback, useRef } from 'react'
import {
Search, Filter, Upload, Download, Camera, RefreshCw,
ChevronLeft, ChevronRight, X, Package, SlidersHorizontal,
Plus, Grid3x3, List
} from 'lucide-react'
import { Spinner, EmptyState, ManaSymbols, CardImage } from '../components/common'
import { collectionApi } from '../api'
import type { CollectionCard, CollectionFilters, SetInfo } from '../types'
// ── Card Detail Modal ─────────────────────────────────────────
function CardDetailModal({ card, onClose }: { card: CollectionCard; onClose: () => void }) {
return (
<div className="fixed inset-0 z-50 flex items-center justify-center bg-black/70 backdrop-blur-sm" onClick={onClose}>
<div
className="bg-bg-secondary rounded-xl border border-border-primary shadow-lg max-w-4xl w-full mx-4 max-h-[90vh] overflow-y-auto animate-fade-in"
onClick={e => e.stopPropagation()}
>
<div className="flex items-start justify-between p-5 border-b border-border-primary">
<div>
<h2 className="text-xl font-bold text-text-primary">{card.name}</h2>
<p className="text-sm text-text-secondary mt-0.5">{card.type_line}</p>
</div>
<button onClick={onClose} className="p-1 rounded hover:bg-bg-hover text-text-tertiary">
<X className="w-5 h-5" />
</button>
</div>
<div className="flex flex-col md:flex-row gap-6 p-5">
{/* Large card image */}
<div className="flex-shrink-0">
<CardImage src={card.image_url} alt={card.name} size="xl" />
</div>
{/* Card info */}
<div className="flex-1 space-y-4">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Mana Cost</label>
<div className="mt-1"><ManaSymbols cost={card.mana_cost} size="md" /></div>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Oracle Text</label>
<p className="mt-1 text-sm text-text-primary whitespace-pre-wrap leading-relaxed">{card.oracle_text}</p>
</div>
<div className="grid grid-cols-2 gap-4">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Set</label>
<p className="mt-1 text-sm text-text-primary">{card.set_name} ({card.set_code.toUpperCase()})</p>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Rarity</label>
<p className={`mt-1 text-sm font-medium capitalize ${
card.rarity === 'mythic' ? 'text-accent-amber' :
card.rarity === 'rare' ? 'text-accent-amber/80' :
card.rarity === 'uncommon' ? 'text-accent-teal' : 'text-text-secondary'
}`}>{card.rarity}</p>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">CMC</label>
<p className="mt-1 text-sm text-text-primary">{card.cmc}</p>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">EDHREC Rank</label>
<p className="mt-1 text-sm text-text-primary">{card.edhrec_rank ?? 'N/A'}</p>
</div>
</div>
<div className="grid grid-cols-2 gap-4">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Quantity</label>
<p className="mt-1 text-sm text-text-primary">{card.quantity} (+ {card.foil_quantity} foil)</p>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Price</label>
<p className="mt-1 text-sm text-accent-teal font-semibold">
${card.tcg_price?.toFixed(2) ?? '—'}
{card.foil_price ? <span className="text-text-tertiary ml-2">Foil: ${card.foil_price.toFixed(2)}</span> : null}
</p>
</div>
</div>
</div>
</div>
</div>
</div>
)
}
// ── Scanner Panel ─────────────────────────────────────────────
function ScannerPanel({ onCardAdded }: { onCardAdded: () => void }) {
const [scanning, setScanning] = useState(false)
const [results, setResults] = useState<import('../types').ScanMatch[]>([])
const [adding, setAdding] = useState<string | null>(null)
const fileRef = useRef<HTMLInputElement>(null)
async function handleScan(file: File) {
setScanning(true)
setResults([])
try {
const res = await collectionApi.scanCard(file)
setResults(res.matches || [])
} catch {
setResults([])
}
setScanning(false)
}
async function handleAdd(match: import('../types').ScanMatch) {
setAdding(match.scryfall_id)
try {
await collectionApi.addScanResult({
name: match.name,
set_code: match.set_code,
scryfall_id: match.scryfall_id,
})
onCardAdded()
} catch { /* ignore */ }
setAdding(null)
}
return (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5">
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2 mb-3">
<Camera className="w-4 h-4 text-accent-blue" />
Card Scanner
</h3>
<input
ref={fileRef}
type="file"
accept="image/*"
className="hidden"
onChange={e => e.target.files?.[0] && handleScan(e.target.files[0])}
/>
<button
onClick={() => fileRef.current?.click()}
disabled={scanning}
className="w-full flex items-center justify-center gap-2 px-4 py-2.5 bg-accent-blue/10 text-accent-blue border border-accent-blue/30 rounded-lg text-sm font-medium hover:bg-accent-blue/20 transition-colors disabled:opacity-50"
>
{scanning ? <Spinner size="sm" /> : <Camera className="w-4 h-4" />}
{scanning ? 'Scanning...' : 'Scan a Card'}
</button>
{results.length > 0 && (
<div className="mt-3 space-y-2 max-h-60 overflow-y-auto">
{results.map(m => (
<div key={m.scryfall_id} className="flex items-center gap-3 p-2 rounded-lg bg-bg-tertiary">
<CardImage src={m.image_url} alt={m.name} size="sm" />
<div className="flex-1 min-w-0">
<p className="text-sm font-medium text-text-primary truncate">{m.name}</p>
<p className="text-xs text-text-tertiary">{m.set_name} — {(m.confidence * 100).toFixed(0)}%</p>
</div>
<button
onClick={() => handleAdd(m)}
disabled={adding === m.scryfall_id}
className="p-1.5 rounded-lg bg-accent-green/15 text-accent-green hover:bg-accent-green/25 transition-colors"
>
{adding === m.scryfall_id ? <Spinner size="sm" /> : <Plus className="w-4 h-4" />}
</button>
</div>
))}
</div>
)}
</div>
)
}
// ── Main Collection Page ──────────────────────────────────────
export function CollectionPage() {
const [cards, setCards] = useState<CollectionCard[]>([])
const [total, setTotal] = useState(0)
const [loading, setLoading] = useState(true)
const [sets, setSets] = useState<SetInfo[]>([])
const [selectedCard, setSelectedCard] = useState<CollectionCard | null>(null)
const [viewMode, setViewMode] = useState<'grid' | 'list'>('grid')
const [showFilters, setShowFilters] = useState(false)
const [importing, setImporting] = useState(false)
const [enriching, setEnriching] = useState(false)
const importRef = useRef<HTMLInputElement>(null)
const [filters, setFilters] = useState<CollectionFilters>({
q: '',
page: 1,
page_size: 48,
sort_by: 'name',
sort_dir: 'asc',
})
const fetchCards = useCallback(async () => {
setLoading(true)
try {
const res = await collectionApi.searchCollection(filters)
setCards(res.cards)
setTotal(res.total)
} catch { /* ignore */ }
setLoading(false)
}, [filters])
useEffect(() => { fetchCards() }, [fetchCards])
useEffect(() => {
collectionApi.getSets().then(setSets).catch(() => {})
}, [])
const totalPages = Math.ceil(total / (filters.page_size || 48))
function updateFilter(key: keyof CollectionFilters, value: string | number | boolean | undefined) {
setFilters(prev => ({ ...prev, [key]: value, page: 1 }))
}
async function handleExport() {
const blob = await collectionApi.exportCollection('csv')
const url = URL.createObjectURL(blob)
const a = document.createElement('a')
a.href = url
a.download = 'collection.csv'
a.click()
URL.revokeObjectURL(url)
}
async function handleImport(file: File) {
setImporting(true)
try {
await collectionApi.importCollection(file)
fetchCards()
} catch { /* ignore */ }
setImporting(false)
}
async function handleReEnrich() {
setEnriching(true)
try {
await collectionApi.reEnrichCards()
fetchCards()
} catch { /* ignore */ }
setEnriching(false)
}
return (
<div className="p-6 space-y-5">
{/* Header */}
<div className="flex items-center justify-between">
<div>
<h1 className="text-2xl font-bold text-text-primary">Collection</h1>
<p className="text-sm text-text-secondary mt-0.5">{total.toLocaleString()} cards in your collection</p>
</div>
<div className="flex items-center gap-2">
<button onClick={handleReEnrich} disabled={enriching}
className="flex items-center gap-2 px-3 py-2 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors disabled:opacity-50">
{enriching ? <Spinner size="sm" /> : <RefreshCw className="w-3.5 h-3.5" />}
Re-Enrich
</button>
<input ref={importRef} type="file" accept=".csv,.txt" className="hidden"
onChange={e => e.target.files?.[0] && handleImport(e.target.files[0])} />
<button onClick={() => importRef.current?.click()} disabled={importing}
className="flex items-center gap-2 px-3 py-2 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors disabled:opacity-50">
{importing ? <Spinner size="sm" /> : <Upload className="w-3.5 h-3.5" />}
Import
</button>
<button onClick={handleExport}
className="flex items-center gap-2 px-3 py-2 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors">
<Download className="w-3.5 h-3.5" />
Export
</button>
</div>
</div>
<div className="flex gap-5">
{/* Left sidebar: search + filters + scanner */}
<div className="w-72 flex-shrink-0 space-y-4">
{/* Search */}
<div className="relative">
<Search className="absolute left-3 top-1/2 -translate-y-1/2 w-4 h-4 text-text-tertiary" />
<input
type="text"
placeholder="Search cards..."
value={filters.q || ''}
onChange={e => updateFilter('q', e.target.value)}
className="w-full pl-10 pr-4 py-2.5 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 focus:ring-1 focus:ring-accent-blue/30 transition-all"
/>
</div>
{/* Filter toggle */}
<button
onClick={() => setShowFilters(!showFilters)}
className="w-full flex items-center justify-between px-4 py-2.5 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-secondary hover:bg-bg-hover transition-colors"
>
<span className="flex items-center gap-2">
<SlidersHorizontal className="w-4 h-4" />
Filters
</span>
<Filter className={`w-3.5 h-3.5 transition-transform ${showFilters ? 'rotate-180' : ''}`} />
</button>
{showFilters && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-4 space-y-3 animate-fade-in">
{/* Rarity */}
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Rarity</label>
<select
value={filters.rarity || ''}
onChange={e => updateFilter('rarity', e.target.value || undefined)}
className="mt-1 w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50"
>
<option value="">All</option>
<option value="common">Common</option>
<option value="uncommon">Uncommon</option>
<option value="rare">Rare</option>
<option value="mythic">Mythic</option>
</select>
</div>
{/* Color */}
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Color</label>
<select
value={filters.color || ''}
onChange={e => updateFilter('color', e.target.value || undefined)}
className="mt-1 w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50"
>
<option value="">All</option>
<option value="W">White</option>
<option value="U">Blue</option>
<option value="B">Black</option>
<option value="R">Red</option>
<option value="G">Green</option>
<option value="C">Colorless</option>
</select>
</div>
{/* Set */}
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Set</label>
<select
value={filters.set_code || ''}
onChange={e => updateFilter('set_code', e.target.value || undefined)}
className="mt-1 w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50"
>
<option value="">All Sets</option>
{sets.map(s => (
<option key={s.code} value={s.code}>{s.name} ({s.card_count})</option>
))}
</select>
</div>
{/* CMC Range */}
<div className="grid grid-cols-2 gap-2">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">CMC Min</label>
<input type="number" min="0" max="20"
value={filters.cmc_min ?? ''}
onChange={e => updateFilter('cmc_min', e.target.value ? Number(e.target.value) : undefined)}
className="mt-1 w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50"
/>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">CMC Max</label>
<input type="number" min="0" max="20"
value={filters.cmc_max ?? ''}
onChange={e => updateFilter('cmc_max', e.target.value ? Number(e.target.value) : undefined)}
className="mt-1 w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50"
/>
</div>
</div>
{/* Sort */}
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Sort By</label>
<select
value={filters.sort_by || 'name'}
onChange={e => updateFilter('sort_by', e.target.value)}
className="mt-1 w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50"
>
<option value="name">Name</option>
<option value="cmc">CMC</option>
<option value="tcg_price">Price</option>
<option value="rarity">Rarity</option>
<option value="set_code">Set</option>
<option value="added_date">Date Added</option>
</select>
</div>
</div>
)}
{/* Scanner */}
<ScannerPanel onCardAdded={fetchCards} />
</div>
{/* Main content: card grid/list */}
<div className="flex-1 min-w-0">
{/* View toggle + pagination */}
<div className="flex items-center justify-between mb-4">
<div className="flex items-center gap-1 bg-bg-secondary rounded-lg border border-border-primary p-0.5">
<button
onClick={() => setViewMode('grid')}
className={`p-1.5 rounded-md transition-colors ${viewMode === 'grid' ? 'bg-bg-hover text-text-primary' : 'text-text-tertiary hover:text-text-secondary'}`}
>
<Grid3x3 className="w-4 h-4" />
</button>
<button
onClick={() => setViewMode('list')}
className={`p-1.5 rounded-md transition-colors ${viewMode === 'list' ? 'bg-bg-hover text-text-primary' : 'text-text-tertiary hover:text-text-secondary'}`}
>
<List className="w-4 h-4" />
</button>
</div>
<div className="flex items-center gap-2 text-sm text-text-secondary">
<span>Page {filters.page} of {totalPages || 1}</span>
<button
onClick={() => setFilters(p => ({ ...p, page: Math.max(1, (p.page || 1) - 1) }))}
disabled={!filters.page || filters.page <= 1}
className="p-1 rounded hover:bg-bg-hover disabled:opacity-30"
>
<ChevronLeft className="w-4 h-4" />
</button>
<button
onClick={() => setFilters(p => ({ ...p, page: Math.min(totalPages, (p.page || 1) + 1) }))}
disabled={(filters.page || 1) >= totalPages}
className="p-1 rounded hover:bg-bg-hover disabled:opacity-30"
>
<ChevronRight className="w-4 h-4" />
</button>
</div>
</div>
{loading ? (
<div className="flex items-center justify-center h-64">
<Spinner size="lg" className="text-accent-blue" />
</div>
) : cards.length === 0 ? (
<EmptyState
icon={Package}
title="No cards found"
description="Try adjusting your search or filters, or import a collection."
/>
) : viewMode === 'grid' ? (
<div className="grid grid-cols-2 sm:grid-cols-3 md:grid-cols-4 lg:grid-cols-5 xl:grid-cols-6 gap-3">
{cards.map(card => (
<div
key={card.id}
className="group cursor-pointer"
onClick={() => setSelectedCard(card)}
>
<CardImage src={card.image_url} alt={card.name} size="md" className="w-full h-auto aspect-[5/7]" />
<div className="mt-1.5 px-0.5">
<p className="text-xs font-medium text-text-primary truncate group-hover:text-accent-blue transition-colors">{card.name}</p>
<div className="flex items-center justify-between">
<span className="text-[10px] text-text-tertiary">{card.set_code.toUpperCase()}</span>
{card.tcg_price != null && (
<span className="text-[10px] text-accent-teal font-medium">${card.tcg_price.toFixed(2)}</span>
)}
</div>
</div>
</div>
))}
</div>
) : (
<div className="bg-bg-secondary rounded-xl border border-border-primary overflow-hidden">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border-primary text-left">
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Card</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Type</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Mana</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Set</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider">Qty</th>
<th className="px-4 py-3 text-xs text-text-tertiary font-medium uppercase tracking-wider text-right">Price</th>
</tr>
</thead>
<tbody className="divide-y divide-border-primary">
{cards.map(card => (
<tr key={card.id} className="hover:bg-bg-hover cursor-pointer transition-colors" onClick={() => setSelectedCard(card)}>
<td className="px-4 py-2.5">
<span className="font-medium text-text-primary">{card.name}</span>
</td>
<td className="px-4 py-2.5 text-text-secondary text-xs">{card.type_line}</td>
<td className="px-4 py-2.5"><ManaSymbols cost={card.mana_cost} /></td>
<td className="px-4 py-2.5 text-text-secondary text-xs">{card.set_code.toUpperCase()}</td>
<td className="px-4 py-2.5 text-text-secondary">{card.quantity}</td>
<td className="px-4 py-2.5 text-right text-accent-teal font-medium">{card.tcg_price != null ? `$${card.tcg_price.toFixed(2)}` : '—'}</td>
</tr>
))}
</tbody>
</table>
</div>
)}
</div>
</div>
{/* Card detail modal */}
{selectedCard && <CardDetailModal card={selectedCard} onClose={() => setSelectedCard(null)} />}
</div>
)
}
@@ -1,967 +0,0 @@
import { useState, useEffect } from 'react'
import {
Plus, Trash2, Download, ChevronRight,
BarChart3, Lightbulb, Layers, X, Library,
Globe, XCircle, ShoppingCart,
ChevronDown, ChevronUp, Sparkles
} from 'lucide-react'
import { Spinner, EmptyState, ManaSymbols, ColorDots } from '../components/common'
import { decksApi } from '../api'
import type {
Deck, DeckCard, DeckAnalysis,
EdhRecCard, EdhRecsResponse,
CollectionRecsResponse
} from '../types'
import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, Cell } from 'recharts'
// ── Role Badge ──────────────────────────────────────────────
const ROLE_COLORS: Record<string, string> = {
Ramp: 'bg-green-500/15 text-green-400 border-green-500/25',
Draw: 'bg-blue-500/15 text-blue-400 border-blue-500/25',
Removal: 'bg-red-500/15 text-red-400 border-red-500/25',
BoardWipe: 'bg-orange-500/15 text-orange-400 border-orange-500/25',
Tutor: 'bg-purple-500/15 text-purple-400 border-purple-500/25',
Protection: 'bg-cyan-500/15 text-cyan-400 border-cyan-500/25',
Finisher: 'bg-yellow-500/15 text-yellow-400 border-yellow-500/25',
Recursion: 'bg-emerald-500/15 text-emerald-400 border-emerald-500/25',
Other: 'bg-slate-500/15 text-slate-400 border-slate-500/25',
}
function RoleBadge({ role }: { role: string }) {
const colors = ROLE_COLORS[role] || ROLE_COLORS.Other
return (
<span className={'text-[10px] font-medium px-1.5 py-0.5 rounded border ' + colors}>
{role}
</span>
)
}
// ── Deck Card List ────────────────────────────────────────────
function DeckCardList({ deckId, cards, onUpdate }: { deckId: number; cards: DeckCard[]; onUpdate: () => void }) {
const [removing, setRemoving] = useState<number | null>(null)
// Group cards by category
const grouped = cards.reduce<Record<string, DeckCard[]>>((acc, c) => {
const cat = c.category || 'Other'
if (!acc[cat]) acc[cat] = []
acc[cat].push(c)
return acc
}, {})
const categoryOrder = ['Commander', 'Creature', 'Instant', 'Sorcery', 'Artifact', 'Enchantment', 'Planeswalker', 'Land', 'Other']
const sortedCategories = Object.keys(grouped).sort((a, b) => {
const ia = categoryOrder.indexOf(a)
const ib = categoryOrder.indexOf(b)
return (ia === -1 ? 99 : ia) - (ib === -1 ? 99 : ib)
})
async function handleRemove(cardId: number) {
setRemoving(cardId)
try {
await decksApi.removeCardFromDeck(deckId, cardId)
onUpdate()
} catch { /* ignore */ }
setRemoving(null)
}
return (
<div className="space-y-4">
{sortedCategories.map(cat => (
<div key={cat}>
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider mb-2">
{cat} ({grouped[cat].length})
</h4>
<div className="space-y-1">
{grouped[cat].map(card => (
<div key={card.id} className="flex items-center gap-3 px-3 py-2 rounded-lg hover:bg-bg-hover group transition-colors">
<span className="text-xs text-text-tertiary w-5 text-right">{card.quantity}x</span>
<ManaSymbols cost={card.mana_cost} />
<span className="flex-1 text-sm text-text-primary truncate">{card.name}</span>
{card.tcg_price != null && (
<span className="text-xs text-accent-teal">${card.tcg_price.toFixed(2)}</span>
)}
{!card.is_commander && (
<button
onClick={() => handleRemove(card.id)}
className="opacity-0 group-hover:opacity-100 p-1 text-text-tertiary hover:text-accent-red transition-all"
>
{removing === card.id ? <Spinner size="sm" /> : <Trash2 className="w-3.5 h-3.5" />}
</button>
)}
</div>
))}
</div>
</div>
))}
</div>
)
}
// ── Mana Curve Chart ──────────────────────────────────────────
function ManaCurveChart({ analysis }: { analysis: DeckAnalysis }) {
const data = Object.entries(analysis.mana_curve)
.map(([cmc, count]) => ({ cmc: cmc === '7' ? '7+' : cmc, count }))
.sort((a, b) => Number(a.cmc) - Number(b.cmc))
return (
<div className="h-40">
<ResponsiveContainer width="100%" height="100%">
<BarChart data={data} barSize={24}>
<XAxis dataKey="cmc" axisLine={false} tickLine={false} tick={{ fill: '#6b7190', fontSize: 11 }} />
<YAxis hide />
<Tooltip
contentStyle={{ backgroundColor: '#1c2030', border: '1px solid #2a2f42', borderRadius: 8, fontSize: 12 }}
labelStyle={{ color: '#9ba1b8' }}
itemStyle={{ color: '#e8eaf0' }}
/>
<Bar dataKey="count" radius={[4, 4, 0, 0]}>
{data.map((_, i) => (
<Cell key={i} fill="#4f6ef7" fillOpacity={0.8} />
))}
</Bar>
</BarChart>
</ResponsiveContainer>
</div>
)
}
// ── EDHREC Recommendations Sub-tab ──────────────────────────
function EdhRecTab({ deckId, onAddedCards }: { deckId: number; onAddedCards: () => void }) {
const [data, setData] = useState<EdhRecsResponse | null>(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
const [onlyOwned, setOnlyOwned] = useState(false)
const [selectedCards, setSelectedCards] = useState<Set<string>>(new Set())
const [addingCards, setAddingCards] = useState<Set<string>>(new Set())
const [bulkAdding, setBulkAdding] = useState(false)
const [hoveredCard, setHoveredCard] = useState<EdhRecCard | null>(null)
const [collapsedGroups, setCollapsedGroups] = useState<Set<string>>(new Set())
async function fetchRecs() {
setLoading(true)
setError(null)
try {
const result = await decksApi.getEdhRecs(deckId, onlyOwned)
setData(result)
} catch (e: any) {
setError(e?.message || 'Failed to load EDHREC recommendations')
}
setLoading(false)
}
useEffect(() => { fetchRecs() }, [deckId, onlyOwned])
function toggleSelect(name: string) {
setSelectedCards(prev => {
const next = new Set(prev)
if (next.has(name)) next.delete(name)
else next.add(name)
return next
})
}
function selectAll() {
if (!data) return
setSelectedCards(new Set(data.recommendations.map(r => r.name)))
}
function selectNone() { setSelectedCards(new Set()) }
function selectOwned() {
if (!data) return
setSelectedCards(new Set(data.recommendations.filter(r => r.owned).map(r => r.name)))
}
async function handleAddSingle(name: string) {
setAddingCards(prev => new Set(prev).add(name))
try {
await decksApi.bulkAddRecommended(deckId, [name])
onAddedCards()
// Remove from list
if (data) {
setData({
...data,
recommendations: data.recommendations.filter(r => r.name !== name),
total: data.total - 1,
})
}
selectedCards.delete(name)
setSelectedCards(new Set(selectedCards))
} catch { /* ignore */ }
setAddingCards(prev => { const n = new Set(prev); n.delete(name); return n })
}
async function handleBulkAdd() {
if (selectedCards.size === 0) return
setBulkAdding(true)
try {
await decksApi.bulkAddRecommended(deckId, Array.from(selectedCards))
onAddedCards()
if (data) {
setData({
...data,
recommendations: data.recommendations.filter(r => !selectedCards.has(r.name)),
total: data.total - selectedCards.size,
})
}
setSelectedCards(new Set())
} catch { /* ignore */ }
setBulkAdding(false)
}
function toggleGroup(groupName: string) {
setCollapsedGroups(prev => {
const next = new Set(prev)
if (next.has(groupName)) next.delete(groupName)
else next.add(groupName)
return next
})
}
// Group recommendations by role
function groupByRole(recs: EdhRecCard[]): Record<string, EdhRecCard[]> {
const groups: Record<string, EdhRecCard[]> = {}
for (const rec of recs) {
const role = rec.role || 'Other'
if (!groups[role]) groups[role] = []
groups[role].push(rec)
}
return groups
}
if (loading) {
return <div className="flex items-center justify-center h-40"><Spinner size="lg" className="text-accent-blue" /></div>
}
if (error) {
return (
<div className="bg-accent-red/10 border border-accent-red/20 rounded-xl p-5 text-center">
<XCircle className="w-6 h-6 text-accent-red mx-auto mb-2" />
<p className="text-sm text-accent-red font-medium">{error}</p>
<button onClick={fetchRecs} className="mt-3 px-4 py-2 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors">
Retry
</button>
</div>
)
}
if (!data || data.recommendations.length === 0) {
return <EmptyState icon={Globe} title="No EDHREC data" description="No recommendations found for this commander on EDHREC." />
}
const grouped = groupByRole(data.recommendations)
const roleOrder = ['Ramp', 'Draw', 'Removal', 'BoardWipe', 'Tutor', 'Protection', 'Finisher', 'Recursion', 'Other']
const sortedRoles = Object.keys(grouped).sort((a, b) => {
const ia = roleOrder.indexOf(a)
const ib = roleOrder.indexOf(b)
return (ia === -1 ? 99 : ia) - (ib === -1 ? 99 : ib)
})
const ownedCount = data.recommendations.filter(r => r.owned).length
const missingCount = data.recommendations.length - ownedCount
return (
<div className="space-y-4">
{/* Header bar */}
<div className="flex items-center justify-between flex-wrap gap-3">
<div className="flex items-center gap-3">
<div className="flex items-center gap-2 text-sm">
<Sparkles className="w-4 h-4 text-accent-blue" />
<span className="text-text-primary font-medium">{data.commander}</span>
<span className="text-text-tertiary">via {data.source}</span>
</div>
<span className="text-xs px-2 py-0.5 rounded bg-accent-green/15 text-accent-green">{ownedCount} owned</span>
<span className="text-xs px-2 py-0.5 rounded bg-bg-tertiary text-text-tertiary">{missingCount} missing</span>
</div>
<label className="flex items-center gap-2 text-xs text-text-secondary cursor-pointer select-none">
<input
type="checkbox"
checked={onlyOwned}
onChange={e => setOnlyOwned(e.target.checked)}
className="rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30 w-3.5 h-3.5"
/>
Show only owned
</label>
</div>
{/* Selection toolbar */}
<div className="flex items-center justify-between bg-bg-secondary rounded-xl border border-border-primary px-4 py-3">
<div className="flex items-center gap-2">
<span className="text-xs text-text-tertiary">Select:</span>
<button onClick={selectAll} className="text-xs text-accent-blue hover:underline">All</button>
<span className="text-text-tertiary">/</span>
<button onClick={selectNone} className="text-xs text-accent-blue hover:underline">None</button>
<span className="text-text-tertiary">/</span>
<button onClick={selectOwned} className="text-xs text-accent-blue hover:underline">Owned</button>
{selectedCards.size > 0 && (
<span className="text-xs text-text-secondary ml-2">({selectedCards.size} selected)</span>
)}
</div>
<button
onClick={handleBulkAdd}
disabled={selectedCards.size === 0 || bulkAdding}
className="flex items-center gap-2 px-3 py-1.5 text-xs font-medium bg-accent-blue text-white rounded-lg hover:bg-accent-blue-hover transition-colors disabled:opacity-40 disabled:cursor-not-allowed"
>
{bulkAdding ? <Spinner size="sm" /> : <ShoppingCart className="w-3.5 h-3.5" />}
Add {selectedCards.size > 0 ? selectedCards.size : ''} to Deck
</button>
</div>
{/* Grouped cards */}
{sortedRoles.map(role => {
const cards = grouped[role]
const isCollapsed = collapsedGroups.has(role)
return (
<div key={role} className="bg-bg-secondary rounded-xl border border-border-primary overflow-hidden">
{/* Group header */}
<button
onClick={() => toggleGroup(role)}
className="w-full flex items-center justify-between px-4 py-3 hover:bg-bg-hover transition-colors"
>
<div className="flex items-center gap-2">
<RoleBadge role={role} />
<span className="text-xs text-text-tertiary">({cards.length})</span>
</div>
{isCollapsed ? <ChevronDown className="w-4 h-4 text-text-tertiary" /> : <ChevronUp className="w-4 h-4 text-text-tertiary" />}
</button>
{/* Card list */}
{!isCollapsed && (
<div className="border-t border-border-primary divide-y divide-border-primary">
{cards.map(rec => (
<div
key={rec.name}
className="flex items-center gap-3 px-4 py-2.5 hover:bg-bg-hover transition-colors group relative"
onMouseEnter={() => setHoveredCard(rec)}
onMouseLeave={() => setHoveredCard(null)}
>
{/* Checkbox */}
<input
type="checkbox"
checked={selectedCards.has(rec.name)}
onChange={() => toggleSelect(rec.name)}
className="rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30 w-3.5 h-3.5 flex-shrink-0"
/>
{/* Card image mini */}
{rec.image_url && (
<div className="w-8 h-11 rounded overflow-hidden bg-bg-tertiary flex-shrink-0">
<img src={rec.image_url} alt={rec.name} className="w-full h-full object-cover" loading="lazy" />
</div>
)}
{/* Card info */}
<div className="flex-1 min-w-0">
<p className="text-sm font-medium text-text-primary truncate">{rec.name}</p>
<div className="flex items-center gap-1.5 mt-0.5">
<span className="text-[10px] text-text-tertiary truncate">{rec.type_line}</span>
{rec.roles.length > 0 && rec.roles.map(r => <RoleBadge key={r} role={r} />)}
</div>
</div>
{/* Owned badge */}
<span className={'text-xs px-2 py-0.5 rounded flex-shrink-0 ' + (rec.owned ? 'bg-accent-green/15 text-accent-green' : 'bg-bg-tertiary text-text-tertiary')}>
{rec.owned ? (rec.owned_qty + 'x owned') : 'Missing'}
</span>
{/* Add button */}
<button
onClick={e => { e.stopPropagation(); handleAddSingle(rec.name) }}
disabled={addingCards.has(rec.name)}
className="opacity-0 group-hover:opacity-100 px-2.5 py-1 text-xs font-medium bg-accent-blue text-white rounded-lg hover:bg-accent-blue-hover transition-all disabled:opacity-50 flex-shrink-0"
>
{addingCards.has(rec.name) ? <Spinner size="sm" /> : '+ Add'}
</button>
</div>
))}
</div>
)}
</div>
)
})}
{/* Hover preview */}
{hoveredCard && hoveredCard.image_url && (
<div className="fixed top-20 right-8 z-50 pointer-events-none animate-fade-in">
<img
src={hoveredCard.image_url}
alt={hoveredCard.name}
className="w-[244px] rounded-xl shadow-2xl shadow-black/60 border border-border-primary"
/>
</div>
)}
</div>
)
}
// ── Collection Recommendations Sub-tab ──────────────────────
function CollectionRecTab({ deckId, onAddedCards }: { deckId: number; onAddedCards: () => void }) {
const [data, setData] = useState<CollectionRecsResponse | null>(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
const [selectedCards, setSelectedCards] = useState<Set<string>>(new Set())
const [addingCards, setAddingCards] = useState<Set<string>>(new Set())
const [bulkAdding, setBulkAdding] = useState(false)
const [collapsedGroups, setCollapsedGroups] = useState<Set<string>>(new Set())
async function fetchRecs() {
setLoading(true)
setError(null)
try {
const result = await decksApi.getCollectionRecs(deckId)
setData(result)
} catch (e: any) {
setError(e?.message || 'Failed to load collection recommendations')
}
setLoading(false)
}
useEffect(() => { fetchRecs() }, [deckId])
function toggleSelect(name: string) {
setSelectedCards(prev => {
const next = new Set(prev)
if (next.has(name)) next.delete(name)
else next.add(name)
return next
})
}
function selectAll() {
if (!data) return
const all = new Set<string>()
Object.values(data.grouped).flat().forEach(c => all.add(c.name))
setSelectedCards(all)
}
function selectNone() { setSelectedCards(new Set()) }
async function handleAddSingle(name: string) {
setAddingCards(prev => new Set(prev).add(name))
try {
await decksApi.bulkAddRecommended(deckId, [name])
onAddedCards()
// Remove from groupings
if (data) {
const newGrouped = { ...data.grouped }
for (const key of Object.keys(newGrouped)) {
newGrouped[key] = newGrouped[key].filter(c => c.name !== name)
if (newGrouped[key].length === 0) delete newGrouped[key]
}
setData({ ...data, grouped: newGrouped, total: data.total - 1 })
}
selectedCards.delete(name)
setSelectedCards(new Set(selectedCards))
} catch { /* ignore */ }
setAddingCards(prev => { const n = new Set(prev); n.delete(name); return n })
}
async function handleBulkAdd() {
if (selectedCards.size === 0) return
setBulkAdding(true)
try {
await decksApi.bulkAddRecommended(deckId, Array.from(selectedCards))
onAddedCards()
if (data) {
const newGrouped = { ...data.grouped }
for (const key of Object.keys(newGrouped)) {
newGrouped[key] = newGrouped[key].filter(c => !selectedCards.has(c.name))
if (newGrouped[key].length === 0) delete newGrouped[key]
}
setData({ ...data, grouped: newGrouped, total: data.total - selectedCards.size })
}
setSelectedCards(new Set())
} catch { /* ignore */ }
setBulkAdding(false)
}
function toggleGroup(groupName: string) {
setCollapsedGroups(prev => {
const next = new Set(prev)
if (next.has(groupName)) next.delete(groupName)
else next.add(groupName)
return next
})
}
if (loading) {
return <div className="flex items-center justify-center h-40"><Spinner size="lg" className="text-accent-blue" /></div>
}
if (error) {
return (
<div className="bg-accent-red/10 border border-accent-red/20 rounded-xl p-5 text-center">
<XCircle className="w-6 h-6 text-accent-red mx-auto mb-2" />
<p className="text-sm text-accent-red font-medium">{error}</p>
<button onClick={fetchRecs} className="mt-3 px-4 py-2 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors">
Retry
</button>
</div>
)
}
if (!data || data.total === 0) {
return <EmptyState icon={Library} title="No collection matches" description="No cards in your collection match this deck's needs." />
}
const typeOrder = ['Creature', 'Instant', 'Sorcery', 'Artifact', 'Enchantment', 'Planeswalker', 'Land', 'Other']
const sortedTypes = Object.keys(data.grouped).sort((a, b) => {
const ia = typeOrder.indexOf(a)
const ib = typeOrder.indexOf(b)
return (ia === -1 ? 99 : ia) - (ib === -1 ? 99 : ib)
})
return (
<div className="space-y-4">
{/* Shortfall alert */}
{data.shortfall_types.length > 0 && (
<div className="flex items-start gap-3 bg-accent-blue/8 border border-accent-blue/20 rounded-xl px-4 py-3">
<Lightbulb className="w-4 h-4 text-accent-blue mt-0.5 flex-shrink-0" />
<div>
<p className="text-xs font-medium text-accent-blue">Deck needs more:</p>
<div className="flex flex-wrap gap-1.5 mt-1">
{data.shortfall_types.map(t => (
<span key={t} className="text-[10px] font-medium px-2 py-0.5 rounded bg-accent-blue/15 text-accent-blue border border-accent-blue/25">{t}</span>
))}
</div>
</div>
</div>
)}
{/* Selection toolbar */}
<div className="flex items-center justify-between bg-bg-secondary rounded-xl border border-border-primary px-4 py-3">
<div className="flex items-center gap-2">
<span className="text-xs text-text-tertiary">Select:</span>
<button onClick={selectAll} className="text-xs text-accent-blue hover:underline">All</button>
<span className="text-text-tertiary">/</span>
<button onClick={selectNone} className="text-xs text-accent-blue hover:underline">None</button>
{selectedCards.size > 0 && (
<span className="text-xs text-text-secondary ml-2">({selectedCards.size} selected)</span>
)}
</div>
<button
onClick={handleBulkAdd}
disabled={selectedCards.size === 0 || bulkAdding}
className="flex items-center gap-2 px-3 py-1.5 text-xs font-medium bg-accent-blue text-white rounded-lg hover:bg-accent-blue-hover transition-colors disabled:opacity-40 disabled:cursor-not-allowed"
>
{bulkAdding ? <Spinner size="sm" /> : <ShoppingCart className="w-3.5 h-3.5" />}
Add {selectedCards.size > 0 ? selectedCards.size : ''} to Deck
</button>
</div>
{/* Grouped cards */}
{sortedTypes.map(type => {
const cards = data.grouped[type]
const isCollapsed = collapsedGroups.has(type)
const isShortfall = data.shortfall_types.includes(type)
return (
<div key={type} className={'bg-bg-secondary rounded-xl border overflow-hidden ' + (isShortfall ? 'border-accent-blue/30' : 'border-border-primary')}>
{/* Group header */}
<button
onClick={() => toggleGroup(type)}
className="w-full flex items-center justify-between px-4 py-3 hover:bg-bg-hover transition-colors"
>
<div className="flex items-center gap-2">
<span className="text-xs font-semibold text-text-primary uppercase tracking-wider">{type}</span>
<span className="text-xs text-text-tertiary">({cards.length})</span>
{isShortfall && <span className="text-[10px] font-medium px-1.5 py-0.5 rounded bg-accent-blue/15 text-accent-blue border border-accent-blue/25">Shortfall</span>}
</div>
{isCollapsed ? <ChevronDown className="w-4 h-4 text-text-tertiary" /> : <ChevronUp className="w-4 h-4 text-text-tertiary" />}
</button>
{/* Card list */}
{!isCollapsed && (
<div className="border-t border-border-primary divide-y divide-border-primary">
{cards.map(rec => (
<div key={rec.scryfall_id} className="flex items-center gap-3 px-4 py-2.5 hover:bg-bg-hover transition-colors group">
{/* Checkbox */}
<input
type="checkbox"
checked={selectedCards.has(rec.name)}
onChange={() => toggleSelect(rec.name)}
className="rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30 w-3.5 h-3.5 flex-shrink-0"
/>
{/* Card image mini */}
{rec.image_url && (
<div className="w-8 h-11 rounded overflow-hidden bg-bg-tertiary flex-shrink-0">
<img src={rec.image_url} alt={rec.name} className="w-full h-full object-cover" loading="lazy" />
</div>
)}
{/* Card info */}
<div className="flex-1 min-w-0">
<p className="text-sm font-medium text-text-primary truncate">{rec.name}</p>
<div className="flex items-center gap-1.5 mt-0.5">
<span className="text-[10px] text-text-tertiary">{rec.cmc} CMC</span>
{rec.roles.length > 0 && rec.roles.map(r => <RoleBadge key={r} role={r} />)}
</div>
</div>
{/* Score */}
<span className="text-xs text-accent-teal font-medium flex-shrink-0">Score: {rec.score}</span>
{/* Owned qty */}
<span className="text-xs px-2 py-0.5 rounded bg-accent-green/15 text-accent-green flex-shrink-0">{rec.owned_qty}x</span>
{/* Add button */}
<button
onClick={e => { e.stopPropagation(); handleAddSingle(rec.name) }}
disabled={addingCards.has(rec.name)}
className="opacity-0 group-hover:opacity-100 px-2.5 py-1 text-xs font-medium bg-accent-blue text-white rounded-lg hover:bg-accent-blue-hover transition-all disabled:opacity-50 flex-shrink-0"
>
{addingCards.has(rec.name) ? <Spinner size="sm" /> : '+ Add'}
</button>
</div>
))}
</div>
)}
</div>
)
})}
</div>
)
}
// ── Deck Detail View ──────────────────────────────────────────
function DeckDetail({ deck, onBack }: { deck: Deck; onBack: () => void }) {
const [cards, setCards] = useState<DeckCard[]>([])
const [analysis, setAnalysis] = useState<DeckAnalysis | null>(null)
const [loading, setLoading] = useState(true)
const [tab, setTab] = useState<'cards' | 'analysis' | 'recs'>('cards')
const [recSource, setRecSource] = useState<'edhrec' | 'collection'>('edhrec')
const [addingCard, setAddingCard] = useState('')
const [bulkText, setBulkText] = useState('')
const [showBulk, setShowBulk] = useState(false)
async function fetchAll() {
setLoading(true)
try {
const [c, a] = await Promise.all([
decksApi.getDeckCards(deck.id),
decksApi.getDeckAnalysis(deck.id),
])
setCards(c)
setAnalysis(a)
} catch { /* ignore */ }
setLoading(false)
}
useEffect(() => { fetchAll() }, [deck.id])
async function handleAddCard() {
if (!addingCard.trim()) return
try {
await decksApi.addCardToDeck(deck.id, { name: addingCard.trim() })
setAddingCard('')
fetchAll()
} catch { /* ignore */ }
}
async function handleBulkAdd() {
if (!bulkText.trim()) return
const cardLines = bulkText.split('\n').filter(l => l.trim())
const cardParsed = cardLines.map(l => {
const match = l.match(/^(\d+)x?\s+(.+)$/)
return match ? { name: match[2].trim(), quantity: Number(match[1]) } : { name: l.trim() }
})
try {
await decksApi.bulkAddCards(deck.id, cardParsed)
setBulkText('')
setShowBulk(false)
fetchAll()
} catch { /* ignore */ }
}
async function handleExportToSim() {
try {
await decksApi.exportDeckToSim(deck.id)
} catch { /* ignore */ }
}
return (
<div className="space-y-5">
{/* Header */}
<div className="flex items-center gap-4">
<button onClick={onBack} className="p-2 rounded-lg hover:bg-bg-hover text-text-secondary transition-colors">
<ChevronRight className="w-5 h-5 rotate-180" />
</button>
<div className="flex-1">
<h2 className="text-xl font-bold text-text-primary">{deck.name}</h2>
<div className="flex items-center gap-3 mt-1">
<span className="text-sm text-text-secondary">{deck.commander}</span>
<ColorDots colors={deck.color_identity} />
<span className="text-xs text-text-tertiary">{deck.card_count} cards</span>
<span className="text-xs text-accent-teal">${deck.total_price.toFixed(2)}</span>
</div>
</div>
<button onClick={handleExportToSim}
className="flex items-center gap-2 px-3 py-2 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors">
<Download className="w-3.5 h-3.5" />
Export to Sim
</button>
</div>
{/* Tabs */}
<div className="flex gap-1 border-b border-border-primary">
{(['cards', 'analysis', 'recs'] as const).map(t => (
<button
key={t}
onClick={() => setTab(t)}
className={`px-4 py-2.5 text-sm font-medium border-b-2 transition-colors capitalize ${
tab === t
? 'border-accent-blue text-accent-blue'
: 'border-transparent text-text-tertiary hover:text-text-secondary'
}`}
>
{t === 'recs' ? 'Recommendations' : t}
</button>
))}
</div>
{loading ? (
<div className="flex items-center justify-center h-40"><Spinner size="lg" className="text-accent-blue" /></div>
) : tab === 'cards' ? (
<div className="space-y-4">
{/* Add card */}
<div className="flex items-center gap-2">
<input
type="text"
placeholder="Add card by name..."
value={addingCard}
onChange={e => setAddingCard(e.target.value)}
onKeyDown={e => e.key === 'Enter' && handleAddCard()}
className="flex-1 px-4 py-2.5 bg-bg-secondary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
<button onClick={handleAddCard}
className="px-4 py-2.5 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors">
Add
</button>
<button onClick={() => setShowBulk(!showBulk)}
className="px-3 py-2.5 bg-bg-tertiary text-text-secondary text-sm rounded-lg hover:bg-bg-hover border border-border-primary transition-colors">
<Layers className="w-4 h-4" />
</button>
</div>
{showBulk && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-4 animate-fade-in space-y-3">
<textarea
placeholder={"1x Sol Ring\n1x Command Tower\n2x Counterspell"}
value={bulkText}
onChange={e => setBulkText(e.target.value)}
rows={6}
className="w-full px-4 py-3 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary font-mono focus:outline-none focus:border-accent-blue/50 transition-all resize-none"
/>
<button onClick={handleBulkAdd}
className="px-4 py-2 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors">
Bulk Add
</button>
</div>
)}
<DeckCardList deckId={deck.id} cards={cards} onUpdate={fetchAll} />
</div>
) : tab === 'analysis' && analysis ? (
<div className="grid grid-cols-1 md:grid-cols-2 gap-5">
{/* Stats */}
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 space-y-4">
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<BarChart3 className="w-4 h-4 text-accent-blue" />
Deck Stats
</h3>
<div className="grid grid-cols-2 gap-3">
{[
{ label: 'Cards', value: analysis.card_count },
{ label: 'Lands', value: analysis.land_count },
{ label: 'Creatures', value: analysis.creature_count },
{ label: 'Non-Creature', value: analysis.noncreature_count },
{ label: 'Avg CMC', value: analysis.avg_cmc.toFixed(2) },
{ label: 'Owned', value: `${analysis.owned_count} / ${analysis.card_count}` },
].map(stat => (
<div key={stat.label} className="px-3 py-2 rounded-lg bg-bg-tertiary">
<p className="text-xs text-text-tertiary">{stat.label}</p>
<p className="text-lg font-bold text-text-primary">{stat.value}</p>
</div>
))}
</div>
</div>
{/* Mana Curve */}
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 space-y-4">
<h3 className="text-sm font-semibold text-text-primary">Mana Curve</h3>
<ManaCurveChart analysis={analysis} />
</div>
{/* Type Distribution */}
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 space-y-3 md:col-span-2">
<h3 className="text-sm font-semibold text-text-primary">Type Distribution</h3>
<div className="flex flex-wrap gap-2">
{Object.entries(analysis.type_distribution).map(([type, count]) => (
<span key={type} className="px-3 py-1.5 bg-bg-tertiary rounded-lg text-xs text-text-secondary">
{type}: <span className="font-semibold text-text-primary">{count}</span>
</span>
))}
</div>
</div>
</div>
) : tab === 'recs' ? (
<div className="space-y-4">
{/* Sub-tab toggle */}
<div className="flex items-center gap-1 bg-bg-tertiary rounded-lg p-1 w-fit">
<button
onClick={() => setRecSource('edhrec')}
className={'flex items-center gap-1.5 px-3.5 py-2 text-xs font-medium rounded-md transition-all ' +
(recSource === 'edhrec'
? 'bg-accent-blue text-white shadow-sm'
: 'text-text-tertiary hover:text-text-secondary')}
>
<Globe className="w-3.5 h-3.5" />
EDHREC
</button>
<button
onClick={() => setRecSource('collection')}
className={'flex items-center gap-1.5 px-3.5 py-2 text-xs font-medium rounded-md transition-all ' +
(recSource === 'collection'
? 'bg-accent-blue text-white shadow-sm'
: 'text-text-tertiary hover:text-text-secondary')}
>
<Library className="w-3.5 h-3.5" />
From Collection
</button>
</div>
{/* Sub-tab content */}
{recSource === 'edhrec' ? (
<EdhRecTab deckId={deck.id} onAddedCards={fetchAll} />
) : (
<CollectionRecTab deckId={deck.id} onAddedCards={fetchAll} />
)}
</div>
) : null}
</div>
)
}
// ── Main Decks Page ───────────────────────────────────────────
export function DecksPage() {
const [decks, setDecks] = useState<Deck[]>([])
const [loading, setLoading] = useState(true)
const [selectedDeck, setSelectedDeck] = useState<Deck | null>(null)
const [showCreate, setShowCreate] = useState(false)
const [newDeckName, setNewDeckName] = useState('')
const [newCommander, setNewCommander] = useState('')
const [creating, setCreating] = useState(false)
async function fetchDecks() {
setLoading(true)
try {
const d = await decksApi.listDecks()
setDecks(d)
} catch { /* ignore */ }
setLoading(false)
}
useEffect(() => { fetchDecks() }, [])
async function handleCreate() {
if (!newDeckName.trim()) return
setCreating(true)
try {
const deck = await decksApi.createDeck({ name: newDeckName.trim(), commander: newCommander.trim() || undefined })
setNewDeckName('')
setNewCommander('')
setShowCreate(false)
setSelectedDeck(deck)
fetchDecks()
} catch { /* ignore */ }
setCreating(false)
}
async function handleDelete(deckId: number) {
try {
await decksApi.deleteDeck(deckId)
fetchDecks()
} catch { /* ignore */ }
}
if (selectedDeck) {
return (
<div className="p-6">
<DeckDetail deck={selectedDeck} onBack={() => { setSelectedDeck(null); fetchDecks() }} />
</div>
)
}
return (
<div className="p-6 space-y-5">
{/* Header */}
<div className="flex items-center justify-between">
<div>
<h1 className="text-2xl font-bold text-text-primary">Decks</h1>
<p className="text-sm text-text-secondary mt-0.5">{decks.length} deck{decks.length !== 1 ? 's' : ''}</p>
</div>
<button
onClick={() => setShowCreate(true)}
className="flex items-center gap-2 px-4 py-2.5 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors"
>
<Plus className="w-4 h-4" />
New Deck
</button>
</div>
{/* Create form */}
{showCreate && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 animate-fade-in space-y-3">
<div className="flex items-center justify-between">
<h3 className="text-sm font-semibold text-text-primary">Create New Deck</h3>
<button onClick={() => setShowCreate(false)} className="text-text-tertiary hover:text-text-secondary">
<X className="w-4 h-4" />
</button>
</div>
<div className="grid grid-cols-2 gap-3">
<input
type="text"
placeholder="Deck name"
value={newDeckName}
onChange={e => setNewDeckName(e.target.value)}
className="px-4 py-2.5 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
<input
type="text"
placeholder="Commander (optional)"
value={newCommander}
onChange={e => setNewCommander(e.target.value)}
className="px-4 py-2.5 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
</div>
<button onClick={handleCreate} disabled={creating}
className="px-4 py-2 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors disabled:opacity-50">
{creating ? <Spinner size="sm" /> : 'Create'}
</button>
</div>
)}
{/* Deck list */}
{loading ? (
<div className="flex items-center justify-center h-40"><Spinner size="lg" className="text-accent-blue" /></div>
) : decks.length === 0 ? (
<EmptyState icon={Layers} title="No decks yet" description="Create your first deck to get started." />
) : (
<div className="grid grid-cols-1 md:grid-cols-2 lg:grid-cols-3 gap-4">
{decks.map(deck => (
<div
key={deck.id}
className="bg-bg-secondary rounded-xl border border-border-primary hover:border-border-secondary p-5 cursor-pointer transition-all group"
onClick={() => setSelectedDeck(deck)}
>
<div className="flex items-start justify-between mb-3">
<div className="min-w-0 flex-1">
<h3 className="text-base font-semibold text-text-primary truncate group-hover:text-accent-blue transition-colors">{deck.name}</h3>
<p className="text-sm text-text-secondary mt-0.5 truncate">{deck.commander}</p>
</div>
<button
onClick={e => { e.stopPropagation(); handleDelete(deck.id) }}
className="opacity-0 group-hover:opacity-100 p-1.5 text-text-tertiary hover:text-accent-red transition-all"
>
<Trash2 className="w-3.5 h-3.5" />
</button>
</div>
<div className="flex items-center justify-between">
<div className="flex items-center gap-3">
<ColorDots colors={deck.color_identity} />
<span className="text-xs text-text-tertiary">{deck.card_count} cards</span>
</div>
<span className="text-xs font-medium text-accent-teal">${deck.total_price.toFixed(2)}</span>
</div>
</div>
))}
</div>
)}
</div>
)
}
@@ -1,284 +0,0 @@
import { useState, useEffect } from 'react'
import {
Gamepad2, Play, Wifi, WifiOff, Settings,
AlertCircle, Trophy, Clock, Brain
} from 'lucide-react'
import { Spinner, StatusBadge } from '../components/common'
import { simApi, labApi } from '../api'
import { usePolling } from '../hooks/usePolling'
import type { SimStatus, SimResult, DeepSeekStatus, LabDeck } from '../types'
import { BarChart, Bar, XAxis, YAxis, Tooltip, ResponsiveContainer, Cell } from 'recharts'
export function SimulatorPage() {
const [decks, setDecks] = useState<LabDeck[]>([])
const [deckA, setDeckA] = useState('')
const [deckB, setDeckB] = useState('')
const [games, setGames] = useState(50)
const [useDeepSeek, setUseDeepSeek] = useState(false)
const [deepSeekDeck, setDeepSeekDeck] = useState('')
const [dsStatus, setDsStatus] = useState<DeepSeekStatus | null>(null)
const [running, setRunning] = useState(false)
const [simId, setSimId] = useState<string | null>(null)
const [simStatus, setSimStatus] = useState<SimStatus | null>(null)
const [result, setResult] = useState<SimResult | null>(null)
const [error, setError] = useState<string | null>(null)
const [starting, setStarting] = useState(false)
// DS config
const [showDsConfig, setShowDsConfig] = useState(false)
const [dsModel, setDsModel] = useState('')
const [dsUrl, setDsUrl] = useState('')
useEffect(() => {
labApi.getLabDecks().then(setDecks).catch(() => {})
simApi.getDeepSeekStatus().then(s => {
setDsStatus(s)
if (s.model) setDsModel(s.model)
if (s.base_url) setDsUrl(s.base_url)
}).catch(() => {})
}, [])
// Poll while running
usePolling(async () => {
if (!simId) return
try {
const s = await simApi.getSimStatus(simId)
setSimStatus(s)
if (!s.running) {
const r = await simApi.getSimResult(simId)
setResult(r)
setRunning(false)
}
} catch { /* ignore */ }
}, 2000, running)
async function handleStart() {
if (!deckA || !deckB) { setError('Select both decks'); return }
setStarting(true)
setError(null)
setResult(null)
try {
let res
if (useDeepSeek && deepSeekDeck) {
res = await simApi.runDeepSeekSim({ deck_a: deckA, deck_b: deckB, games, deepseek_deck: deepSeekDeck })
} else {
res = await simApi.runSim({ deck_a: deckA, deck_b: deckB, games })
}
setSimId(res.sim_id)
setRunning(true)
} catch (e) {
setError(e instanceof Error ? e.message : 'Failed to start')
}
setStarting(false)
}
async function handleDsConnect() {
try {
const s = await simApi.connectDeepSeek()
setDsStatus(s)
} catch { /* ignore */ }
}
async function handleDsConfigure() {
try {
const s = await simApi.configureDeepSeek({
model: dsModel || undefined,
base_url: dsUrl || undefined,
})
setDsStatus(s)
setShowDsConfig(false)
} catch { /* ignore */ }
}
return (
<div className="p-6 space-y-5">
<div>
<h1 className="text-2xl font-bold text-text-primary flex items-center gap-3">
<Gamepad2 className="w-6 h-6 text-accent-purple" />
Simulator
</h1>
<p className="text-sm text-text-secondary mt-0.5">Run head-to-head deck simulations</p>
</div>
{/* DeepSeek status */}
<div className="flex items-center gap-3">
<StatusBadge
variant={dsStatus?.connected ? 'success' : 'warning'}
label={dsStatus?.connected ? `DeepSeek: ${dsStatus.model}` : 'DeepSeek: Disconnected'}
/>
<button onClick={handleDsConnect}
className="flex items-center gap-1.5 text-xs text-text-tertiary hover:text-text-secondary transition-colors">
{dsStatus?.connected ? <Wifi className="w-3 h-3" /> : <WifiOff className="w-3 h-3" />}
{dsStatus?.connected ? 'Reconnect' : 'Connect'}
</button>
<button onClick={() => setShowDsConfig(!showDsConfig)}
className="flex items-center gap-1.5 text-xs text-text-tertiary hover:text-text-secondary transition-colors">
<Settings className="w-3 h-3" />
Configure
</button>
</div>
{showDsConfig && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-4 max-w-md animate-fade-in space-y-3">
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<Brain className="w-4 h-4 text-accent-purple" />
DeepSeek Configuration
</h3>
<input
type="text"
placeholder="Model name"
value={dsModel}
onChange={e => setDsModel(e.target.value)}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
<input
type="text"
placeholder="Base URL (e.g. http://192.168.0.240:11434)"
value={dsUrl}
onChange={e => setDsUrl(e.target.value)}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary placeholder:text-text-tertiary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
<button onClick={handleDsConfigure}
className="px-4 py-2 bg-accent-blue text-white text-sm font-medium rounded-lg hover:bg-accent-blue-hover transition-colors">
Save
</button>
</div>
)}
{/* Sim config */}
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 space-y-4 max-w-2xl">
<div className="grid grid-cols-2 gap-4">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Deck A</label>
<select
value={deckA}
onChange={e => setDeckA(e.target.value)}
className="mt-1 w-full px-3 py-2.5 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all"
>
<option value="">Select deck...</option>
{decks.map(d => <option key={d.name} value={d.name}>{d.name}</option>)}
</select>
</div>
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Deck B</label>
<select
value={deckB}
onChange={e => setDeckB(e.target.value)}
className="mt-1 w-full px-3 py-2.5 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all"
>
<option value="">Select deck...</option>
{decks.map(d => <option key={d.name} value={d.name}>{d.name}</option>)}
</select>
</div>
</div>
<div className="flex items-center gap-6">
<div>
<label className="text-xs text-text-tertiary uppercase tracking-wider">Games</label>
<input
type="number" min={1} max={1000}
value={games}
onChange={e => setGames(Number(e.target.value))}
className="mt-1 w-24 px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all"
/>
</div>
<label className="flex items-center gap-2 cursor-pointer mt-5">
<input type="checkbox" checked={useDeepSeek} onChange={e => setUseDeepSeek(e.target.checked)}
className="w-4 h-4 rounded border-border-primary bg-bg-tertiary text-accent-purple focus:ring-accent-purple/30" />
<span className="text-sm text-text-secondary">Use DeepSeek AI pilot</span>
</label>
{useDeepSeek && (
<div className="mt-5">
<select
value={deepSeekDeck}
onChange={e => setDeepSeekDeck(e.target.value)}
className="px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all"
>
<option value="">AI pilots which deck?</option>
{[deckA, deckB].filter(Boolean).map(d => <option key={d} value={d}>{d}</option>)}
</select>
</div>
)}
</div>
{error && (
<div className="flex items-center gap-2 px-4 py-2 bg-status-error/10 border border-status-error/30 rounded-lg text-sm text-status-error">
<AlertCircle className="w-4 h-4" />{error}
</div>
)}
{running ? (
<div className="flex items-center gap-3">
<Spinner size="md" className="text-accent-blue" />
<div>
<p className="text-sm text-text-primary">Simulation running...</p>
{simStatus && (
<p className="text-xs text-text-tertiary">
{simStatus.games_completed ?? 0} / {simStatus.total_games ?? games} games
</p>
)}
</div>
</div>
) : (
<button onClick={handleStart} disabled={starting || !deckA || !deckB}
className="flex items-center gap-2 px-5 py-2.5 bg-accent-purple/15 text-accent-purple text-sm font-semibold rounded-lg hover:bg-accent-purple/25 border border-accent-purple/30 transition-colors disabled:opacity-50">
{starting ? <Spinner size="sm" /> : <Play className="w-4 h-4" />}
Run Simulation
</button>
)}
</div>
{/* Results */}
{result && (
<div className="bg-bg-secondary rounded-xl border border-border-primary p-5 space-y-4 animate-fade-in">
<div className="flex items-center justify-between">
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<Trophy className="w-4 h-4 text-accent-amber" />
Results
</h3>
<span className="text-xs text-text-tertiary flex items-center gap-1.5">
<Clock className="w-3 h-3" />
{(result.duration_ms / 1000).toFixed(1)}s · {result.total_games} games
</span>
</div>
<div className="h-48">
<ResponsiveContainer width="100%" height="100%">
<BarChart data={result.decks.map(d => ({ name: d.name, win_rate: Math.round(d.win_rate * 100) }))} barSize={40}>
<XAxis dataKey="name" tick={{ fill: '#9ba1b8', fontSize: 12 }} axisLine={false} tickLine={false} />
<YAxis domain={[0, 100]} tick={{ fill: '#6b7190', fontSize: 11 }} axisLine={false} tickLine={false} />
<Tooltip contentStyle={{ backgroundColor: '#1c2030', border: '1px solid #2a2f42', borderRadius: 8, fontSize: 12 }}
formatter={(value: unknown) => [`${value}%`, 'Win Rate']} />
<Bar dataKey="win_rate" radius={[4, 4, 0, 0]}>
{result.decks.map((d, i) => (
<Cell key={i} fill={d.win_rate === Math.max(...result.decks.map(x => x.win_rate)) ? '#4ade80' : '#4f6ef7'} />
))}
</Bar>
</BarChart>
</ResponsiveContainer>
</div>
<div className="grid grid-cols-2 gap-4">
{result.decks.map(d => (
<div key={d.name} className="px-4 py-3 rounded-lg bg-bg-tertiary">
<p className="text-sm font-semibold text-text-primary">{d.name}</p>
<div className="grid grid-cols-3 gap-2 mt-2">
<div>
<p className="text-[10px] text-text-tertiary uppercase">Wins</p>
<p className="text-lg font-bold text-accent-green">{d.wins}</p>
</div>
<div>
<p className="text-[10px] text-text-tertiary uppercase">Win Rate</p>
<p className="text-lg font-bold text-accent-blue">{(d.win_rate * 100).toFixed(1)}%</p>
</div>
<div>
<p className="text-[10px] text-text-tertiary uppercase">Avg Turn</p>
<p className="text-lg font-bold text-text-primary">{d.avg_turn.toFixed(1)}</p>
</div>
</div>
</div>
))}
</div>
</div>
)}
</div>
)
}
@@ -1,822 +0,0 @@
import { useState, useEffect, useCallback } from 'react'
import {
Brain, Play, RotateCw, Database, Trophy, AlertCircle,
Activity, Zap, Swords, FileText, Cpu, CheckCircle,
ChevronDown, ChevronUp, Settings
} from 'lucide-react'
import { Spinner, StatusBadge } from '../components/common'
import { trainingApi } from '../api'
import { usePolling } from '../hooks/usePolling'
import type {
MLStatus, MLDataStatus, MLTrainStatus, PPOTrainStatus,
TournamentStatus, MLModelInfo
} from '../types'
// ── Progress Bar ──────────────────────────────────────────────
function ProgressBar({ value, max, label, color = 'bg-accent-blue' }: { value: number; max: number; label: string; color?: string }) {
const pct = max > 0 ? Math.min((value / max) * 100, 100) : 0
return (
<div>
<div className="flex items-center justify-between text-xs mb-1">
<span className="text-text-secondary">{label}</span>
<span className="text-text-tertiary">{value} / {max} ({pct.toFixed(0)}%)</span>
</div>
<div className="w-full h-2 bg-bg-tertiary rounded-full overflow-hidden">
<div className={'h-full rounded-full transition-all duration-500 ' + color} style={{ width: `${pct}%` }} />
</div>
</div>
)
}
// ── Phase Badge ──────────────────────────────────────────────
const PHASE_STYLES: Record<string, string> = {
idle: 'bg-bg-tertiary text-text-tertiary',
starting: 'bg-accent-blue/15 text-accent-blue animate-pulse',
building: 'bg-accent-purple/15 text-accent-purple animate-pulse',
training: 'bg-accent-blue/15 text-accent-blue animate-pulse',
evaluating: 'bg-accent-teal/15 text-accent-teal animate-pulse',
running: 'bg-accent-amber/15 text-accent-amber animate-pulse',
done: 'bg-accent-green/15 text-accent-green',
error: 'bg-accent-red/15 text-accent-red',
}
function PhaseBadge({ phase }: { phase: string }) {
const cls = PHASE_STYLES[phase] || PHASE_STYLES.idle
return (
<span className={'text-[10px] font-semibold uppercase tracking-wider px-2 py-0.5 rounded ' + cls}>
{phase}
</span>
)
}
// ── Metric Card ──────────────────────────────────────────────
function MetricCard({ label, value, accent }: { label: string; value: string | number; accent?: string }) {
return (
<div className="px-3 py-2 bg-bg-tertiary rounded-lg">
<p className="text-[10px] text-text-tertiary">{label}</p>
<p className={'text-sm font-bold ' + (accent || 'text-text-primary')}>{value}</p>
</div>
)
}
// ── Collapsible Section ─────────────────────────────────────
function Section({ title, icon, children, defaultOpen = true, color = 'text-accent-blue' }: {
title: string; icon: React.ReactNode; children: React.ReactNode; defaultOpen?: boolean; color?: string
}) {
const [open, setOpen] = useState(defaultOpen)
return (
<div className="bg-bg-secondary rounded-xl border border-border-primary overflow-hidden">
<button
onClick={() => setOpen(!open)}
className="w-full flex items-center justify-between px-5 py-4 hover:bg-bg-hover transition-colors"
>
<h3 className="text-sm font-semibold text-text-primary flex items-center gap-2">
<span className={color}>{icon}</span>
{title}
</h3>
{open ? <ChevronUp className="w-4 h-4 text-text-tertiary" /> : <ChevronDown className="w-4 h-4 text-text-tertiary" />}
</button>
{open && <div className="px-5 pb-5 space-y-4 border-t border-border-primary pt-4">{children}</div>}
</div>
)
}
// ══════════════════════════════════════════════════════════════
// Main Training Page
// ══════════════════════════════════════════════════════════════
export function TrainingPage() {
// Status states
const [mlStatus, setMlStatus] = useState<MLStatus | null>(null)
const [dataStatus, setDataStatus] = useState<MLDataStatus | null>(null)
const [modelInfo, setModelInfo] = useState<MLModelInfo | null>(null)
const [trainStatus, setTrainStatus] = useState<MLTrainStatus | null>(null)
const [ppoStatus, setPpoStatus] = useState<PPOTrainStatus | null>(null)
const [tournStatus, setTournStatus] = useState<TournamentStatus | null>(null)
const [loading, setLoading] = useState(true)
const [error, setError] = useState<string | null>(null)
// Supervised training config
const [epochs, setEpochs] = useState(50)
const [lr, setLr] = useState(0.001)
const [batchSize, setBatchSize] = useState(256)
const [patience, setPatience] = useState(10)
const [rebuildDataset, setRebuildDataset] = useState(true)
// PPO config
const [ppoIterations, setPpoIterations] = useState(100)
const [ppoEpisodes, setPpoEpisodes] = useState(64)
const [ppoEpochs, setPpoEpochs] = useState(4)
const [ppoBatchSize, setPpoBatchSize] = useState(256)
const [ppoLr, setPpoLr] = useState(0.0003)
const [ppoClipEps, setPpoClipEps] = useState(0.2)
const [ppoEntropy, setPpoEntropy] = useState(0.01)
const [ppoOpponent, setPpoOpponent] = useState('heuristic')
const [ppoPlaystyle, _setPpoPlaystyle] = useState('midrange') // eslint-disable-line
// Tournament config
const [tournEpisodes, setTournEpisodes] = useState(50)
const [tournPlaystyle, setTournPlaystyle] = useState('midrange')
// Action states
const [startingTrain, setStartingTrain] = useState(false)
const [startingPpo, setStartingPpo] = useState(false)
const [startingTourn, setStartingTourn] = useState(false)
const [reloading, setReloading] = useState(false)
const [showSupAdvanced, setShowSupAdvanced] = useState(false)
const [showPpoAdvanced, setShowPpoAdvanced] = useState(false)
// ── Initial Load ──────────────────────────────────────────
const loadAll = useCallback(async () => {
try {
const [ml, data, model, train, ppo, tourn] = await Promise.all([
trainingApi.getMLStatus().catch(() => null),
trainingApi.getDataStatus().catch(() => null),
trainingApi.getModelInfo().catch(() => null),
trainingApi.getTrainStatus().catch(() => null),
trainingApi.getPPOStatus().catch(() => null),
trainingApi.getTournamentStatus().catch(() => null),
])
if (ml) setMlStatus(ml)
if (data) setDataStatus(data)
if (model) setModelInfo(model)
if (train) setTrainStatus(train)
if (ppo) setPpoStatus(ppo)
if (tourn) setTournStatus(tourn)
} catch { /* ignore */ }
setLoading(false)
}, [])
useEffect(() => { loadAll() }, [loadAll])
// ── Polling ───────────────────────────────────────────────
const isTraining = trainStatus?.running || false
const isPpo = ppoStatus?.running || false
const isTourn = tournStatus?.running || false
const anyRunning = isTraining || isPpo || isTourn
usePolling(async () => {
try {
const s = await trainingApi.getTrainStatus()
setTrainStatus(s)
if (!s.running && s.phase === 'done') {
// Refresh model info + data when training completes
const [model, data] = await Promise.all([
trainingApi.getModelInfo().catch(() => null),
trainingApi.getDataStatus().catch(() => null),
])
if (model) setModelInfo(model)
if (data) setDataStatus(data)
}
} catch { /* ignore */ }
}, 2000, isTraining)
usePolling(async () => {
try {
const s = await trainingApi.getPPOStatus()
setPpoStatus(s)
if (!s.running && s.phase === 'done') {
const [model, data] = await Promise.all([
trainingApi.getModelInfo().catch(() => null),
trainingApi.getDataStatus().catch(() => null),
])
if (model) setModelInfo(model)
if (data) setDataStatus(data)
}
} catch { /* ignore */ }
}, 2000, isPpo)
usePolling(async () => {
try {
const s = await trainingApi.getTournamentStatus()
setTournStatus(s)
} catch { /* ignore */ }
}, 2000, isTourn)
// ── Actions ───────────────────────────────────────────────
async function handleToggleLogging() {
try {
const newState = !(mlStatus?.ml_logging_enabled ?? false)
await trainingApi.toggleML(newState)
const ml = await trainingApi.getMLStatus()
setMlStatus(ml)
} catch { /* ignore */ }
}
async function handleReloadModel() {
setReloading(true)
try {
const res = await trainingApi.reloadModel()
setModelInfo(res.status)
} catch (e) {
setError(e instanceof Error ? e.message : 'Failed to reload model')
}
setReloading(false)
}
async function handleStartTrain() {
setStartingTrain(true)
setError(null)
try {
await trainingApi.startTraining({ epochs, lr, batchSize, patience, rebuildDataset })
const s = await trainingApi.getTrainStatus()
setTrainStatus(s)
} catch (e) {
setError(e instanceof Error ? e.message : 'Failed to start training')
}
setStartingTrain(false)
}
async function handleStartPpo() {
setStartingPpo(true)
setError(null)
try {
await trainingApi.startPPOTraining({
iterations: ppoIterations,
episodesPerIter: ppoEpisodes,
ppoEpochs,
batchSize: ppoBatchSize,
lr: ppoLr,
clipEpsilon: ppoClipEps,
entropyCoeff: ppoEntropy,
opponent: ppoOpponent,
playstyle: ppoPlaystyle,
})
const s = await trainingApi.getPPOStatus()
setPpoStatus(s)
} catch (e) {
setError(e instanceof Error ? e.message : 'Failed to start PPO training')
}
setStartingPpo(false)
}
async function handleStartTournament() {
setStartingTourn(true)
setError(null)
try {
await trainingApi.startTournament({ episodes: tournEpisodes, playstyle: tournPlaystyle })
const s = await trainingApi.getTournamentStatus()
setTournStatus(s)
} catch (e) {
setError(e instanceof Error ? e.message : 'Failed to start tournament')
}
setStartingTourn(false)
}
// ── Render ────────────────────────────────────────────────
if (loading) {
return <div className="p-6 flex items-center justify-center h-64"><Spinner size="lg" className="text-accent-blue" /></div>
}
const trainDataset = dataStatus?.datasets?.['train']
const hasDecisions = (mlStatus?.total_decisions ?? 0) > 0
const hasModel = modelInfo?.loaded === true
return (
<div className="p-6 space-y-5">
{/* Page Header */}
<div>
<h1 className="text-2xl font-bold text-text-primary flex items-center gap-3">
<Brain className="w-6 h-6 text-accent-green" />
ML Training Pipeline
</h1>
<p className="text-sm text-text-secondary mt-0.5">Collect data, train models, and evaluate performance</p>
</div>
{/* Error banner */}
{error && (
<div className="flex items-center gap-2 px-4 py-2 bg-accent-red/10 border border-accent-red/30 rounded-lg text-sm text-accent-red">
<AlertCircle className="w-4 h-4 flex-shrink-0" />
<span className="flex-1">{error}</span>
<button onClick={() => setError(null)} className="text-accent-red/60 hover:text-accent-red text-xs">dismiss</button>
</div>
)}
{/* Pipeline overview bar */}
<div className="flex flex-wrap items-center gap-3 bg-bg-secondary rounded-xl border border-border-primary px-5 py-3">
<div className="flex items-center gap-2">
<div className={'w-2 h-2 rounded-full ' + (mlStatus?.ml_logging_enabled ? 'bg-accent-green' : 'bg-text-tertiary')} />
<span className="text-xs text-text-secondary">Logging {mlStatus?.ml_logging_enabled ? 'On' : 'Off'}</span>
</div>
<span className="text-border-primary">|</span>
<span className="text-xs text-text-secondary">{mlStatus?.total_decisions ?? 0} decisions</span>
<span className="text-border-primary">|</span>
<span className="text-xs text-text-secondary">{trainDataset ? `${trainDataset.samples.toLocaleString()} training samples` : 'No dataset'}</span>
<span className="text-border-primary">|</span>
<span className="text-xs text-text-secondary">{(dataStatus?.checkpoints?.length ?? 0)} checkpoints</span>
<span className="text-border-primary">|</span>
<StatusBadge
variant={hasModel ? 'success' : 'neutral'}
label={hasModel ? `Model on ${modelInfo?.device ?? '?'}` : 'No model'}
/>
{anyRunning && (
<>
<span className="text-border-primary">|</span>
<span className="text-xs font-medium text-accent-blue animate-pulse">Pipeline running...</span>
</>
)}
</div>
{/* ═══ Phase 1: Data Collection ═══ */}
<Section title="Phase 1 — Data Collection" icon={<FileText className="w-4 h-4" />} color="text-accent-teal">
<div className="flex items-center justify-between">
<p className="text-xs text-text-secondary">
Run batch simulations with ML logging enabled to collect decision data.
</p>
<button
onClick={handleToggleLogging}
className={'flex items-center gap-2 px-3 py-1.5 text-xs font-medium rounded-lg border transition-colors ' +
(mlStatus?.ml_logging_enabled
? 'bg-accent-green/15 text-accent-green border-accent-green/30 hover:bg-accent-green/25'
: 'bg-bg-tertiary text-text-secondary border-border-primary hover:bg-bg-hover'
)}
>
<div className={'w-2 h-2 rounded-full ' + (mlStatus?.ml_logging_enabled ? 'bg-accent-green' : 'bg-text-tertiary')} />
{mlStatus?.ml_logging_enabled ? 'Logging Enabled' : 'Enable Logging'}
</button>
</div>
{/* Decision files */}
{(dataStatus?.decisionFiles?.length ?? 0) > 0 ? (
<div className="space-y-1">
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider">Decision Files</h4>
<div className="max-h-36 overflow-y-auto space-y-1">
{dataStatus!.decisionFiles.map(f => (
<div key={f.name} className="flex items-center justify-between px-3 py-1.5 bg-bg-tertiary rounded-lg text-xs">
<span className="text-text-secondary font-mono truncate">{f.name}</span>
<div className="flex items-center gap-3 text-text-tertiary">
<span>{f.decisions.toLocaleString()} decisions</span>
<span>{(f.size / 1024).toFixed(0)} KB</span>
</div>
</div>
))}
</div>
</div>
) : (
<div className="text-xs text-text-tertiary italic">No decision files yet. Run batch sims with logging enabled.</div>
)}
</Section>
{/* ═══ Phase 2: Dataset & Checkpoints ═══ */}
<Section title="Phase 2 — Dataset & Model Artifacts" icon={<Database className="w-4 h-4" />} color="text-accent-purple">
<div className="grid grid-cols-1 md:grid-cols-2 gap-4">
{/* Dataset splits */}
<div className="space-y-2">
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider">Dataset Splits</h4>
{Object.keys(dataStatus?.datasets ?? {}).length > 0 ? (
<div className="grid grid-cols-3 gap-2">
{(['train', 'val', 'test'] as const).map(split => {
const ds = dataStatus?.datasets?.[split]
return (
<div key={split} className="px-3 py-2 bg-bg-tertiary rounded-lg">
<p className="text-[10px] text-text-tertiary uppercase">{split}</p>
{ds ? (
<>
<p className="text-sm font-bold text-text-primary">{ds.samples.toLocaleString()}</p>
<p className="text-[10px] text-text-tertiary">{ds.features} features</p>
</>
) : (
<p className="text-xs text-text-tertiary italic">Not built</p>
)}
</div>
)
})}
</div>
) : (
<p className="text-xs text-text-tertiary italic">No dataset built yet. Training will build it automatically.</p>
)}
</div>
{/* Checkpoints */}
<div className="space-y-2">
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider">Checkpoints</h4>
{(dataStatus?.checkpoints?.length ?? 0) > 0 ? (
<div className="max-h-28 overflow-y-auto space-y-1">
{dataStatus!.checkpoints.map(ckpt => (
<div key={ckpt.name} className="flex items-center justify-between px-3 py-1.5 bg-bg-tertiary rounded-lg text-xs">
<span className="text-text-secondary font-mono truncate">{ckpt.name}</span>
<span className="text-text-tertiary">{(ckpt.size / 1024 / 1024).toFixed(1)} MB</span>
</div>
))}
</div>
) : (
<p className="text-xs text-text-tertiary italic">No checkpoints yet. Train a model to generate them.</p>
)}
</div>
</div>
{/* Model info + reload */}
<div className="flex items-center justify-between pt-2 border-t border-border-primary">
<div className="flex items-center gap-3">
<Cpu className="w-4 h-4 text-text-tertiary" />
<div className="text-xs">
{hasModel ? (
<span className="text-accent-green font-medium">
Model loaded on {modelInfo?.device} | {modelInfo?.input_dim} features | {modelInfo?.num_actions} actions
</span>
) : (
<span className="text-text-tertiary">No model loaded{modelInfo?.error ? ` — ${modelInfo.error}` : ''}</span>
)}
</div>
</div>
<button
onClick={handleReloadModel}
disabled={reloading}
className="flex items-center gap-1.5 px-3 py-1.5 text-xs font-medium bg-bg-tertiary text-text-secondary rounded-lg hover:bg-bg-hover border border-border-primary transition-colors disabled:opacity-50"
>
{reloading ? <Spinner size="sm" /> : <RotateCw className="w-3 h-3" />}
Reload Model
</button>
</div>
{/* Eval results */}
{dataStatus?.evalResults && (
<div className="pt-2 border-t border-border-primary space-y-2">
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider flex items-center gap-2">
<CheckCircle className="w-3.5 h-3.5 text-accent-green" />
Latest Evaluation
</h4>
<div className="grid grid-cols-2 md:grid-cols-4 gap-2">
{Object.entries(dataStatus.evalResults).map(([k, v]) => (
<MetricCard
key={k}
label={k.replace(/_/g, ' ')}
value={typeof v === 'number' ? (k.includes('accuracy') || k.includes('rate') ? `${(v * 100).toFixed(1)}%` : v.toFixed(4)) : String(v)}
accent={k.includes('accuracy') ? 'text-accent-green' : undefined}
/>
))}
</div>
</div>
)}
</Section>
{/* ═══ Phase 3: Supervised Training ═══ */}
<Section title="Phase 3 — Supervised Training" icon={<Activity className="w-4 h-4" />}>
{/* Config */}
<div className="space-y-3">
<div className="grid grid-cols-2 gap-3">
<div>
<label className="text-xs text-text-tertiary block mb-1">Epochs</label>
<input type="number" min={1} max={1000} value={epochs} onChange={e => setEpochs(Number(e.target.value))}
disabled={isTraining}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Learning Rate</label>
<input type="number" min={0.00001} max={1} step={0.0001} value={lr} onChange={e => setLr(Number(e.target.value))}
disabled={isTraining}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
</div>
{/* Advanced toggle */}
<button onClick={() => setShowSupAdvanced(!showSupAdvanced)} className="flex items-center gap-1 text-xs text-text-tertiary hover:text-text-secondary transition-colors">
<Settings className="w-3 h-3" />
{showSupAdvanced ? 'Hide' : 'Show'} advanced options
</button>
{showSupAdvanced && (
<div className="grid grid-cols-3 gap-3 animate-fade-in">
<div>
<label className="text-xs text-text-tertiary block mb-1">Batch Size</label>
<input type="number" min={16} max={2048} value={batchSize} onChange={e => setBatchSize(Number(e.target.value))}
disabled={isTraining}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Early Stop Patience</label>
<input type="number" min={1} max={100} value={patience} onChange={e => setPatience(Number(e.target.value))}
disabled={isTraining}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div className="flex items-end pb-1">
<label className="flex items-center gap-2 text-xs text-text-secondary cursor-pointer select-none">
<input type="checkbox" checked={rebuildDataset} onChange={e => setRebuildDataset(e.target.checked)}
disabled={isTraining}
className="rounded border-border-primary bg-bg-tertiary text-accent-blue focus:ring-accent-blue/30 w-3.5 h-3.5" />
Rebuild dataset
</label>
</div>
</div>
)}
</div>
{/* Training status / start button */}
{isTraining || (trainStatus?.phase && trainStatus.phase !== 'idle') ? (
<div className="space-y-3 bg-bg-tertiary/50 rounded-xl p-4 border border-border-primary">
<div className="flex items-center justify-between">
<div className="flex items-center gap-2">
<PhaseBadge phase={trainStatus!.phase} />
<span className="text-xs text-text-secondary">{trainStatus!.message}</span>
</div>
{trainStatus!.started_at && (
<span className="text-[10px] text-text-tertiary">Started: {new Date(trainStatus!.started_at).toLocaleTimeString()}</span>
)}
</div>
{/* Progress bar — only in training phase */}
{(trainStatus!.phase === 'training' || trainStatus!.phase === 'done') && trainStatus!.total_epochs > 0 && (
<ProgressBar
value={trainStatus!.current_epoch}
max={trainStatus!.total_epochs}
label="Epoch progress"
/>
)}
{/* Live metrics during training */}
{trainStatus!.metrics && (
<div className="grid grid-cols-2 md:grid-cols-4 gap-2">
{Object.entries(trainStatus!.metrics).map(([k, v]) => {
if (typeof v !== 'number') return null
const isAcc = k.includes('accuracy') || k.includes('acc')
const isLoss = k.includes('loss')
return (
<MetricCard
key={k}
label={k.replace(/_/g, ' ')}
value={isAcc ? `${(v * 100).toFixed(1)}%` : v.toFixed(4)}
accent={isAcc ? 'text-accent-green' : isLoss ? 'text-accent-amber' : undefined}
/>
)
})}
</div>
)}
{/* Final result */}
{trainStatus!.phase === 'done' && trainStatus!.result && (
<div className="pt-2 border-t border-border-primary space-y-2">
<h4 className="text-xs font-semibold text-accent-green flex items-center gap-1.5">
<CheckCircle className="w-3.5 h-3.5" /> Training Complete
</h4>
<div className="grid grid-cols-2 md:grid-cols-4 gap-2">
<MetricCard label="Device" value={trainStatus!.result.device} />
<MetricCard label="Checkpoint" value={trainStatus!.result.checkpoint.split('/').pop() || '—'} />
{trainStatus!.result.evaluation && Object.entries(trainStatus!.result.evaluation).map(([k, v]) => (
typeof v === 'number' ? (
<MetricCard key={k} label={k.replace(/_/g, ' ')}
value={k.includes('accuracy') ? `${(v * 100).toFixed(1)}%` : v.toFixed(4)}
accent={k.includes('accuracy') ? 'text-accent-green' : undefined} />
) : null
))}
</div>
</div>
)}
{/* Error state */}
{trainStatus!.phase === 'error' && trainStatus!.error && (
<div className="flex items-start gap-2 bg-accent-red/10 border border-accent-red/20 rounded-lg px-3 py-2">
<AlertCircle className="w-4 h-4 text-accent-red mt-0.5 flex-shrink-0" />
<span className="text-xs text-accent-red">{trainStatus!.error}</span>
</div>
)}
</div>
) : (
<div className="flex items-center gap-3">
<button
onClick={handleStartTrain}
disabled={startingTrain || !hasDecisions || isPpo}
className="flex items-center gap-2 px-4 py-2.5 bg-accent-blue/15 text-accent-blue text-sm font-medium rounded-lg hover:bg-accent-blue/25 border border-accent-blue/30 transition-colors disabled:opacity-40 disabled:cursor-not-allowed"
>
{startingTrain ? <Spinner size="sm" /> : <Play className="w-4 h-4" />}
Start Training
</button>
{!hasDecisions && (
<span className="text-xs text-text-tertiary italic">Enable logging and run batch sims first to generate decision data.</span>
)}
</div>
)}
</Section>
{/* ═══ Phase 4: PPO Reinforcement Learning ═══ */}
<Section title="Phase 4 — PPO Reinforcement Learning" icon={<Zap className="w-4 h-4" />} color="text-accent-purple" defaultOpen={false}>
<p className="text-xs text-text-secondary">
Fine-tune the supervised model using PPO self-play against an opponent policy.
</p>
{/* Config */}
<div className="grid grid-cols-2 gap-3">
<div>
<label className="text-xs text-text-tertiary block mb-1">Iterations</label>
<input type="number" min={1} max={1000} value={ppoIterations} onChange={e => setPpoIterations(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Opponent</label>
<select value={ppoOpponent} onChange={e => setPpoOpponent(e.target.value)}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50">
<option value="heuristic">Heuristic</option>
<option value="random">Random</option>
<option value="self">Self-Play</option>
</select>
</div>
</div>
<button onClick={() => setShowPpoAdvanced(!showPpoAdvanced)} className="flex items-center gap-1 text-xs text-text-tertiary hover:text-text-secondary transition-colors">
<Settings className="w-3 h-3" />
{showPpoAdvanced ? 'Hide' : 'Show'} advanced options
</button>
{showPpoAdvanced && (
<div className="grid grid-cols-3 gap-3 animate-fade-in">
<div>
<label className="text-xs text-text-tertiary block mb-1">Episodes / Iter</label>
<input type="number" min={1} max={512} value={ppoEpisodes} onChange={e => setPpoEpisodes(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">PPO Epochs</label>
<input type="number" min={1} max={20} value={ppoEpochs} onChange={e => setPpoEpochs(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Batch Size</label>
<input type="number" min={16} max={2048} value={ppoBatchSize} onChange={e => setPpoBatchSize(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Learning Rate</label>
<input type="number" min={0.000001} max={0.01} step={0.0001} value={ppoLr} onChange={e => setPpoLr(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Clip Epsilon</label>
<input type="number" min={0.05} max={0.5} step={0.05} value={ppoClipEps} onChange={e => setPpoClipEps(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Entropy Coeff</label>
<input type="number" min={0} max={0.1} step={0.005} value={ppoEntropy} onChange={e => setPpoEntropy(Number(e.target.value))}
disabled={isPpo}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
</div>
)}
{/* PPO running status */}
{isPpo || (ppoStatus?.phase && ppoStatus.phase !== 'idle') ? (
<div className="space-y-3 bg-bg-tertiary/50 rounded-xl p-4 border border-border-primary">
<div className="flex items-center gap-2">
<PhaseBadge phase={ppoStatus!.phase} />
<span className="text-xs text-text-secondary">{ppoStatus!.message}</span>
</div>
{(ppoStatus!.phase === 'training' || ppoStatus!.phase === 'done') && ppoStatus!.total_iterations > 0 && (
<ProgressBar
value={ppoStatus!.iteration}
max={ppoStatus!.total_iterations}
label="PPO iteration"
color="bg-accent-purple"
/>
)}
{ppoStatus!.metrics && (
<div className="grid grid-cols-2 md:grid-cols-4 gap-2">
{ppoStatus!.metrics.win_rate != null && (
<MetricCard label="Win Rate" value={`${(ppoStatus!.metrics.win_rate * 100).toFixed(1)}%`} accent="text-accent-green" />
)}
{ppoStatus!.metrics.avg_reward != null && (
<MetricCard label="Avg Reward" value={ppoStatus!.metrics.avg_reward.toFixed(3)} accent="text-accent-amber" />
)}
{ppoStatus!.metrics.policy_loss != null && (
<MetricCard label="Policy Loss" value={ppoStatus!.metrics.policy_loss.toFixed(4)} />
)}
{ppoStatus!.metrics.entropy != null && (
<MetricCard label="Entropy" value={ppoStatus!.metrics.entropy.toFixed(4)} />
)}
</div>
)}
{ppoStatus!.phase === 'done' && ppoStatus!.result && (
<div className="flex items-center gap-2 pt-2 border-t border-border-primary">
<CheckCircle className="w-3.5 h-3.5 text-accent-green" />
<span className="text-xs text-accent-green font-medium">
PPO Training Complete — Best Win Rate: {
typeof ppoStatus!.result.best_win_rate === 'number'
? `${(ppoStatus!.result.best_win_rate as number * 100).toFixed(1)}%`
: '—'
}
</span>
</div>
)}
{ppoStatus!.phase === 'error' && ppoStatus!.error && (
<div className="flex items-start gap-2 bg-accent-red/10 border border-accent-red/20 rounded-lg px-3 py-2">
<AlertCircle className="w-4 h-4 text-accent-red mt-0.5 flex-shrink-0" />
<span className="text-xs text-accent-red">{ppoStatus!.error}</span>
</div>
)}
</div>
) : (
<button
onClick={handleStartPpo}
disabled={startingPpo || isTraining || !hasModel}
className="flex items-center gap-2 px-4 py-2.5 bg-accent-purple/15 text-accent-purple text-sm font-medium rounded-lg hover:bg-accent-purple/25 border border-accent-purple/30 transition-colors disabled:opacity-40 disabled:cursor-not-allowed"
>
{startingPpo ? <Spinner size="sm" /> : <Play className="w-4 h-4" />}
Start PPO Training
</button>
)}
{!hasModel && !(isPpo || (ppoStatus?.phase && ppoStatus.phase !== 'idle')) && (
<p className="text-xs text-text-tertiary italic">Train a supervised model first (Phase 3) before running PPO.</p>
)}
</Section>
{/* ═══ Phase 5: Tournament Evaluation ═══ */}
<Section title="Phase 5 — Tournament Evaluation" icon={<Swords className="w-4 h-4" />} color="text-accent-amber" defaultOpen={false}>
<p className="text-xs text-text-secondary">
Pit the trained model against heuristic, random, and other policy variants.
</p>
<div className="grid grid-cols-2 gap-3">
<div>
<label className="text-xs text-text-tertiary block mb-1">Episodes per Matchup</label>
<input type="number" min={10} max={1000} value={tournEpisodes} onChange={e => setTournEpisodes(Number(e.target.value))}
disabled={isTourn}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50" />
</div>
<div>
<label className="text-xs text-text-tertiary block mb-1">Playstyle</label>
<select value={tournPlaystyle} onChange={e => setTournPlaystyle(e.target.value)}
disabled={isTourn}
className="w-full px-3 py-2 bg-bg-tertiary border border-border-primary rounded-lg text-sm text-text-primary focus:outline-none focus:border-accent-blue/50 transition-all disabled:opacity-50">
<option value="midrange">Midrange</option>
<option value="aggro">Aggro</option>
<option value="control">Control</option>
<option value="combo">Combo</option>
</select>
</div>
</div>
{/* Tournament status */}
{isTourn || (tournStatus?.phase && tournStatus.phase !== 'idle') ? (
<div className="space-y-3 bg-bg-tertiary/50 rounded-xl p-4 border border-border-primary">
<div className="flex items-center gap-2">
<PhaseBadge phase={tournStatus!.phase} />
<span className="text-xs text-text-secondary">{tournStatus!.message}</span>
</div>
{tournStatus!.phase === 'error' && tournStatus!.error && (
<div className="flex items-start gap-2 bg-accent-red/10 border border-accent-red/20 rounded-lg px-3 py-2">
<AlertCircle className="w-4 h-4 text-accent-red mt-0.5 flex-shrink-0" />
<span className="text-xs text-accent-red">{tournStatus!.error}</span>
</div>
)}
</div>
) : (
<button
onClick={handleStartTournament}
disabled={startingTourn || isTraining || isPpo}
className="flex items-center gap-2 px-4 py-2.5 bg-accent-amber/15 text-accent-amber text-sm font-medium rounded-lg hover:bg-accent-amber/25 border border-accent-amber/30 transition-colors disabled:opacity-40 disabled:cursor-not-allowed"
>
{startingTourn ? <Spinner size="sm" /> : <Trophy className="w-4 h-4" />}
Start Tournament
</button>
)}
{/* Tournament results */}
{(tournStatus?.result?.players?.length ?? 0) > 0 && (
<div className="pt-2 border-t border-border-primary space-y-2">
<h4 className="text-xs font-semibold text-text-tertiary uppercase tracking-wider flex items-center gap-2">
<Trophy className="w-3.5 h-3.5 text-accent-amber" />
Leaderboard
</h4>
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border-primary">
<th className="px-3 py-2 text-left text-xs text-text-tertiary font-medium w-8">#</th>
<th className="px-3 py-2 text-left text-xs text-text-tertiary font-medium">Policy</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium">Wins</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium">Games</th>
<th className="px-3 py-2 text-right text-xs text-text-tertiary font-medium">Win Rate</th>
</tr>
</thead>
<tbody className="divide-y divide-border-primary">
{tournStatus!.result!.players
.sort((a, b) => b.win_rate - a.win_rate)
.map((p, i) => (
<tr key={p.name} className="hover:bg-bg-hover transition-colors">
<td className="px-3 py-2 text-text-tertiary text-xs">
{i === 0 ? <Trophy className="w-3.5 h-3.5 text-accent-amber" /> : i + 1}
</td>
<td className="px-3 py-2">
<span className="text-text-primary font-medium capitalize">{p.name}</span>
</td>
<td className="px-3 py-2 text-right text-text-secondary">{p.wins}</td>
<td className="px-3 py-2 text-right text-text-secondary">{p.games}</td>
<td className={'px-3 py-2 text-right font-semibold ' + (i === 0 ? 'text-accent-green' : 'text-accent-blue')}>
{(p.win_rate * 100).toFixed(1)}%
</td>
</tr>
))}
</tbody>
</table>
</div>
)}
</Section>
</div>
)
}
@@ -1,562 +0,0 @@
// ═══════════════════════════════════════════════════════════
// Commander AI Lab — TypeScript Type Definitions
// Derived from the FastAPI backend's Pydantic models + SQLite schema
// ═══════════════════════════════════════════════════════════
// ── Cards & Collection ──────────────────────────────────────
export interface CollectionCard {
id: number
name: string
scryfall_id: string
set_code: string
set_name: string
collector_number: string
rarity: string
type_line: string
mana_cost: string
cmc: number
oracle_text: string
color_identity: string[]
quantity: number
foil_quantity: number
condition: string
tcg_price: number | null
foil_price: number | null
image_url: string
edhrec_rank: number | null
keywords: string
added_date: string
updated_date: string
}
export interface CollectionFilters {
q?: string
type_line?: string
color?: string
rarity?: string
set_code?: string
cmc_min?: number
cmc_max?: number
price_min?: number
price_max?: number
owned_only?: boolean
sort_by?: string
sort_dir?: 'asc' | 'desc'
page?: number
page_size?: number
}
export interface CollectionStats {
total_cards: number
total_unique: number
total_value: number
sets_count: number
}
export interface SetInfo {
code: string
name: string
card_count?: number
}
// ── Scan ─────────────────────────────────────────────────────
export interface ScanResult {
matches: ScanMatch[]
image_url?: string
}
export interface ScanMatch {
name: string
set_code: string
set_name: string
collector_number: string
scryfall_id: string
confidence: number
image_url: string
type_line: string
oracle_text: string
mana_cost: string
tcg_price: number | null
}
// ── Decks ────────────────────────────────────────────────────
export interface Deck {
id: number
name: string
commander: string
commander_scryfall_id?: string
commander_image_url?: string
color_identity: string[]
format: string
card_count: number
total_price: number
created_date: string
updated_date: string
}
export interface DeckCard {
id: number
deck_id: number
name: string
scryfall_id: string
quantity: number
is_commander: boolean
category: string
type_line: string
mana_cost: string
cmc: number
oracle_text: string
tcg_price: number | null
image_url: string
owned_qty: number
set_code: string
}
export interface DeckAnalysis {
card_count: number
land_count: number
creature_count: number
noncreature_count: number
avg_cmc: number
mana_curve: Record<number, number>
color_distribution: Record<string, number>
type_distribution: Record<string, number>
total_price: number
owned_count: number
missing_count: number
}
export interface DeckRecommendation {
name: string
scryfall_id: string
type_line: string
mana_cost: string
oracle_text: string
image_url: string
tcg_price: number | null
reason: string
score: number
owned: boolean
}
// ── EDHREC Recommendations ──────────────────────────────────
export interface EdhRecCard {
name: string
type_line: string
role: string
roles: string[]
inclusion_pct: number | null
synergy_score: number | null
owned: boolean
owned_qty: number
scryfall_id: string
image_url: string | null
}
export interface EdhRecsResponse {
commander: string
source: string
total: number
recommendations: EdhRecCard[]
}
// ── Collection Recommendations ──────────────────────────────
export interface CollectionRecCard {
id: number
scryfall_id: string
name: string
type_line: string
card_type: string
cmc: number
color_identity: string[]
owned_qty: number
roles: string[]
score: number
image_url: string | null
}
export interface CollectionRecsResponse {
shortfall_types: string[]
role_filter: string[]
grouped: Record<string, CollectionRecCard[]>
total: number
}
// ── V3 Deck Generator ────────────────────────────────────────
export interface DeckGenV3Request {
commander_name: string
strategy?: string
target_bracket: number
budget_usd?: number
budget_mode?: 'total' | 'per_card'
omit_cards?: string[]
use_collection?: boolean
run_substitution?: boolean
model?: string
deck_name?: string
}
export interface DeckGenV3Status {
initialized: boolean
pplx_configured: boolean
model: string | null
embeddings_loaded: boolean
embedding_cards: number
error: string | null
}
export interface DeckGenV3Card {
name: string
quantity: number
category: string
type_line: string
mana_cost: string
cmc: number
role: string
reason: string
tcg_price: number | null
image_url: string
owned: boolean
owned_qty: number
scryfall_id: string
is_substitute: boolean
original_name: string | null
substitution_reason: string | null
similarity_score: number | null
}
export interface DeckGenV3Result {
commander: {
name: string
image_url: string
type_line: string
color_identity: string[]
mana_cost: string
oracle_text: string
}
cards: DeckGenV3Card[]
stats: DeckAnalysis
strategy: string
bracket: number
model: string
substitution?: {
owned: number
substituted: number
missing: number
}
}
// ── Simulation ───────────────────────────────────────────────
export interface SimConfig {
deck_names: string[]
num_games: number
threads: number
use_deepseek?: boolean
}
export interface SimStatus {
running: boolean
sim_id: string
progress?: number
games_completed?: number
total_games?: number
}
export interface SimResult {
sim_id: string
decks: SimDeckResult[]
total_games: number
duration_ms: number
timestamp: string
}
export interface SimDeckResult {
name: string
wins: number
losses: number
win_rate: number
avg_turn: number
}
// ── Batch Sim (Lab) ──────────────────────────────────────────
export interface LabDeck {
name: string
source: string
path: string
card_count: number
}
export interface LabStartRequest {
decks: string[]
games: number
threads?: number
use_deepseek?: boolean
deepseek_deck?: string
}
export interface LabStatus {
running: boolean
run_id: string
games_completed: number
total_games: number
current_decks: string[]
error: string | null
}
export interface LabResult {
run_id: string
decks: LabDeckResult[]
total_games: number
timestamp: string
}
export interface LabDeckResult {
name: string
wins: number
games: number
win_rate: number
avg_turns: number
avg_life_remaining: number
}
export interface LabHistoryEntry {
run_id: string
timestamp: string
decks: string[]
total_games: number
}
export interface PreconDeck {
name: string
filename: string
release_date?: string
set_name?: string
installed: boolean
}
// ── Coach ────────────────────────────────────────────────────
export interface CoachStatus {
llmConnected: boolean
llmModel: string | null
llmModels: string[]
embeddingsLoaded: boolean
embeddingCards: number
deckReportsAvailable: number
error: string | null
}
export interface CoachDeck {
deck_id: number
deck_name: string
commander: string
card_count: number
has_report: boolean
report_count: number
last_report_date: string | null
}
export interface CoachGoals {
targetPowerLevel?: number | null
metaFocus?: string | null
budget?: string | null
focusAreas?: string[]
}
export interface CoachMessage {
role: 'user' | 'assistant'
content: string
}
export interface CoachChatResponse {
content: string
model: string
prompt_tokens: number
completion_tokens: number
}
export interface CoachSession {
sessionId: string
deckId: string
timestamp: string
summary: string
suggestedCuts: CoachSuggestedCut[]
suggestedAdds: CoachSuggestedAdd[]
heuristicHints: string[]
manaBaseAdvice: string | null
rawTextExplanation: string
modelUsed: string
promptTokens: number
completionTokens: number
goals: CoachGoals | null
}
export interface CoachSuggestedCut {
cardName: string
reason: string
replacementOptions: string[]
currentImpactScore: number
}
export interface CoachSuggestedAdd {
cardName: string
role: string
reason: string
synergyWith: string[]
estimatedManaValue: number | null
}
export interface CoachSessionSummary {
sessionId: string
deckId: string
timestamp: string
summary: string
cutsCount: number
addsCount: number
}
export interface CoachApplyResult {
cuts: { name: string; status: string }[]
adds: { name: string; scryfall_id?: string; status: string }[]
errors: { name: string; error: string }[]
total_cuts: number
total_adds: number
}
export interface CoachCardLikeResult {
name: string
similarity: number
types: string
mana_value: number
mana_cost: string
text: string
owned_qty: number
image_url: string | null
tcg_price: number | null
}
// ── ML Training ──────────────────────────────────────────────
/** GET /api/ml/status */
export interface MLStatus {
ml_logging_enabled: boolean
training_files: { file: string; decisions: number; size_kb: number }[]
total_decisions: number
total_files: number
}
/** GET /api/ml/data/status */
export interface MLDataStatus {
decisionFiles: { name: string; size: number; decisions: number }[]
totalDecisions: number
datasets: Record<string, { samples: number; features: number; size: number }>
checkpoints: { name: string; size: number; modified: string }[]
evalResults: Record<string, unknown> | null
policyLoaded: boolean
}
/** GET /api/ml/train/status */
export interface MLTrainStatus {
running: boolean
progress: number
total_epochs: number
current_epoch: number
phase: 'idle' | 'starting' | 'building' | 'training' | 'evaluating' | 'done' | 'error'
message: string
metrics: Record<string, unknown> | null
result: {
training: Record<string, unknown>
evaluation: Record<string, unknown> | null
checkpoint: string
device: string
} | null
error: string | null
started_at: string | null
}
/** GET /api/ml/train/ppo/status */
export interface PPOTrainStatus {
running: boolean
iteration: number
total_iterations: number
phase: 'idle' | 'starting' | 'training' | 'done' | 'error'
message: string
metrics: {
avg_reward?: number
win_rate?: number
policy_loss?: number
value_loss?: number
entropy?: number
[key: string]: unknown
} | null
result: Record<string, unknown> | null
error: string | null
}
/** GET /api/ml/tournament/status */
export interface TournamentStatus {
running: boolean
phase: 'idle' | 'starting' | 'running' | 'done' | 'error'
message: string
result: TournamentResults | null
error: string | null
}
export interface TournamentResults {
players: TournamentPlayer[]
total_matches: number
matchups?: Record<string, unknown>
}
export interface TournamentPlayer {
name: string
wins: number
games: number
win_rate: number
}
/** GET /api/ml/model */
export interface MLModelInfo {
loaded: boolean
device?: string
input_dim?: number
num_actions?: number
checkpoint_path?: string
error?: string
torch_available?: boolean
}
// ── DeepSeek ─────────────────────────────────────────────────
export interface DeepSeekStatus {
connected: boolean
model: string | null
base_url: string
}
// ── Commander Search ─────────────────────────────────────────
export interface CommanderSearchResult {
name: string
type_line: string
color_identity: string[]
mana_cost: string
image_url: string
oracle_text: string
scryfall_id: string
in_collection: boolean
}
// ── Perplexity ───────────────────────────────────────────────
export interface PplxStatus {
configured: boolean
}
@@ -1,28 +0,0 @@
{
"compilerOptions": {
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
"target": "ES2022",
"useDefineForClassFields": true,
"lib": ["ES2022", "DOM", "DOM.Iterable"],
"module": "ESNext",
"types": ["vite/client"],
"skipLibCheck": true,
/* Bundler mode */
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"verbatimModuleSyntax": true,
"moduleDetection": "force",
"noEmit": true,
"jsx": "react-jsx",
/* Linting */
"strict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"erasableSyntaxOnly": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedSideEffectImports": true
},
"include": ["src"]
}
@@ -1,7 +0,0 @@
{
"files": [],
"references": [
{ "path": "./tsconfig.app.json" },
{ "path": "./tsconfig.node.json" }
]
}
@@ -1,26 +0,0 @@
{
"compilerOptions": {
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
"target": "ES2023",
"lib": ["ES2023"],
"module": "ESNext",
"types": ["node"],
"skipLibCheck": true,
/* Bundler mode */
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"verbatimModuleSyntax": true,
"moduleDetection": "force",
"noEmit": true,
/* Linting */
"strict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"erasableSyntaxOnly": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedSideEffectImports": true
},
"include": ["vite.config.ts"]
}
@@ -1,28 +0,0 @@
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
import tailwindcss from '@tailwindcss/vite'
export default defineConfig({
plugins: [react(), tailwindcss()],
server: {
port: 5173,
proxy: {
'/api': {
target: 'http://localhost:8080',
changeOrigin: true,
},
},
},
build: {
outDir: 'dist',
sourcemap: false,
rollupOptions: {
output: {
manualChunks: {
recharts: ['recharts'],
react: ['react', 'react-dom', 'react-router-dom'],
},
},
},
},
})
-23
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@@ -1,23 +0,0 @@
import js from '@eslint/js'
import globals from 'globals'
import reactHooks from 'eslint-plugin-react-hooks'
import reactRefresh from 'eslint-plugin-react-refresh'
import tseslint from 'typescript-eslint'
import { defineConfig, globalIgnores } from 'eslint/config'
export default defineConfig([
globalIgnores(['dist']),
{
files: ['**/*.{ts,tsx}'],
extends: [
js.configs.recommended,
tseslint.configs.recommended,
reactHooks.configs.flat.recommended,
reactRefresh.configs.vite,
],
languageOptions: {
ecmaVersion: 2020,
globals: globals.browser,
},
},
])
-13
View File
@@ -1,13 +0,0 @@
<!doctype html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<link rel="icon" type="image/svg+xml" href="/favicon.svg" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>frontend-tmp</title>
</head>
<body>
<div id="root"></div>
<script type="module" src="/src/main.tsx"></script>
</body>
</html>
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-42
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@@ -1,42 +0,0 @@
{
"name": "commander-ai-lab-frontend",
"private": true,
"version": "0.0.0",
"type": "module",
"scripts": {
"dev": "vite",
"build": "tsc -b && vite build",
"lint": "eslint .",
"preview": "vite preview",
"test": "vitest run",
"test:watch": "vitest"
},
"dependencies": {
"clsx": "^2.1.1",
"react": "^19.2.4",
"react-dom": "^19.2.4",
"react-router-dom": "^7.13.1"
},
"devDependencies": {
"@eslint/js": "^9.39.4",
"@testing-library/jest-dom": "^6.9.1",
"@testing-library/react": "^16.3.2",
"@testing-library/user-event": "^14.6.1",
"@types/node": "^24.12.0",
"@types/react": "^19.2.14",
"@types/react-dom": "^19.2.3",
"@vitejs/plugin-react": "^6.0.0",
"autoprefixer": "^10.4.27",
"eslint": "^9.39.4",
"eslint-plugin-react-hooks": "^7.0.1",
"eslint-plugin-react-refresh": "^0.5.2",
"globals": "^17.4.0",
"jsdom": "^29.0.0",
"postcss": "^8.5.8",
"tailwindcss": "^3.4.19",
"typescript": "~5.9.3",
"typescript-eslint": "^8.56.1",
"vite": "^8.0.0",
"vitest": "^4.1.0"
}
}
-6
View File
@@ -1,6 +0,0 @@
export default {
plugins: {
tailwindcss: {},
autoprefixer: {},
},
}
-1
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@@ -1 +0,0 @@
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-184
View File
@@ -1,184 +0,0 @@
.counter {
font-size: 16px;
padding: 5px 10px;
border-radius: 5px;
color: var(--accent);
background: var(--accent-bg);
border: 2px solid transparent;
transition: border-color 0.3s;
margin-bottom: 24px;
&:hover {
border-color: var(--accent-border);
}
&:focus-visible {
outline: 2px solid var(--accent);
outline-offset: 2px;
}
}
.hero {
position: relative;
.base,
.framework,
.vite {
inset-inline: 0;
margin: 0 auto;
}
.base {
width: 170px;
position: relative;
z-index: 0;
}
.framework,
.vite {
position: absolute;
}
.framework {
z-index: 1;
top: 34px;
height: 28px;
transform: perspective(2000px) rotateZ(300deg) rotateX(44deg) rotateY(39deg)
scale(1.4);
}
.vite {
z-index: 0;
top: 107px;
height: 26px;
width: auto;
transform: perspective(2000px) rotateZ(300deg) rotateX(40deg) rotateY(39deg)
scale(0.8);
}
}
#center {
display: flex;
flex-direction: column;
gap: 25px;
place-content: center;
place-items: center;
flex-grow: 1;
@media (max-width: 1024px) {
padding: 32px 20px 24px;
gap: 18px;
}
}
#next-steps {
display: flex;
border-top: 1px solid var(--border);
text-align: left;
& > div {
flex: 1 1 0;
padding: 32px;
@media (max-width: 1024px) {
padding: 24px 20px;
}
}
.icon {
margin-bottom: 16px;
width: 22px;
height: 22px;
}
@media (max-width: 1024px) {
flex-direction: column;
text-align: center;
}
}
#docs {
border-right: 1px solid var(--border);
@media (max-width: 1024px) {
border-right: none;
border-bottom: 1px solid var(--border);
}
}
#next-steps ul {
list-style: none;
padding: 0;
display: flex;
gap: 8px;
margin: 32px 0 0;
.logo {
height: 18px;
}
a {
color: var(--text-h);
font-size: 16px;
border-radius: 6px;
background: var(--social-bg);
display: flex;
padding: 6px 12px;
align-items: center;
gap: 8px;
text-decoration: none;
transition: box-shadow 0.3s;
&:hover {
box-shadow: var(--shadow);
}
.button-icon {
height: 18px;
width: 18px;
}
}
@media (max-width: 1024px) {
margin-top: 20px;
flex-wrap: wrap;
justify-content: center;
li {
flex: 1 1 calc(50% - 8px);
}
a {
width: 100%;
justify-content: center;
box-sizing: border-box;
}
}
}
#spacer {
height: 88px;
border-top: 1px solid var(--border);
@media (max-width: 1024px) {
height: 48px;
}
}
.ticks {
position: relative;
width: 100%;
&::before,
&::after {
content: '';
position: absolute;
top: -4.5px;
border: 5px solid transparent;
}
&::before {
left: 0;
border-left-color: var(--border);
}
&::after {
right: 0;
border-right-color: var(--border);
}
}
-48
View File
@@ -1,48 +0,0 @@
import { BrowserRouter, Routes, Route, Link, useLocation } from 'react-router-dom';
import LobbyPage from './pages/LobbyPage';
import RoomPage from './pages/RoomPage';
import GamePage from './pages/GamePage';
import SimulatorPage from './pages/SimulatorPage';
function Nav() {
const location = useLocation();
// Hide nav on active game pages
if (location.pathname.startsWith('/game/')) return null;
const links = [
{ to: '/', label: 'Lobby' },
{ to: '/simulator', label: 'Simulator' },
];
return (
<nav className="bg-bg-bar border-b border-border-zone px-4 py-2 flex items-center gap-4">
<span className="text-sm font-bold text-white mr-4">Commander AI Lab</span>
{links.map((l) => (
<Link
key={l.to}
to={l.to}
className={`text-sm px-2 py-1 rounded transition-colors ${
location.pathname === l.to
? 'text-white bg-accent-blue/20'
: 'text-text-muted hover:text-white'
}`}
>
{l.label}
</Link>
))}
</nav>
);
}
function App() {
return (
<BrowserRouter>
<Nav />
<Routes>
<Route path="/" element={<LobbyPage />} />
<Route path="/room/:roomId" element={<RoomPage />} />
<Route path="/game/:gameId" element={<GamePage />} />
<Route path="/simulator" element={<SimulatorPage />} />
</Routes>
</BrowserRouter>
);
}
export default App;
-35
View File
@@ -1,35 +0,0 @@
import { render, screen } from '@testing-library/react';
import { describe, it, expect } from 'vitest';
import CardChip from '../components/CardChip';
import type { Card } from '../types/game';
function makeCard(overrides: Partial<Card> = {}): Card {
return {
name: 'Sol Ring',
type: 'Artifact',
tapped: false,
is_commander: false,
oracle: 'Tap: Add CC.',
cmc: 1,
...overrides,
};
}
describe('CardChip', () => {
it('applies opacity class when tapped', () => {
render(<CardChip card={makeCard({ tapped: true })} />);
const chip = screen.getByText(/Sol Ring/);
expect(chip.closest('span')).toHaveClass('opacity-55');
});
it('shows star for commander cards', () => {
render(<CardChip card={makeCard({ is_commander: true })} />);
expect(screen.getByText('★')).toBeInTheDocument();
});
it('has hover border class', () => {
render(<CardChip card={makeCard()} />);
const chip = screen.getByText(/Sol Ring/).closest('span');
expect(chip).toHaveClass('hover:border-[#ffdc32]');
});
});
-86
View File
@@ -1,86 +0,0 @@
import { render, screen } from '@testing-library/react';
import { describe, it, expect, vi, beforeEach } from 'vitest';
import { MemoryRouter, Route, Routes } from 'react-router-dom';
import GamePage from '../pages/GamePage';
import type { GameState, Card } from '../types/game';
const mockGameState: GameState = {
game_id: 'test-game',
turn: 1,
current_phase: 'main1',
active_seat: 0,
players: [
{
seat: 0, name: 'Alice', life: 40, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 7,
},
{
seat: 1, name: 'Bob', life: 38, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 6,
},
{
seat: 2, name: 'Charlie', life: 40, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 7,
},
{
seat: 3, name: 'Diana', life: 35, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 5,
},
],
stack: [],
game_over: false,
winner: null,
};
const mockHand: Card[] = [];
const mockSendMove = vi.fn();
const mockSendConcede = vi.fn();
vi.mock('../hooks/useGameSocket', () => ({
useGameSocket: () => ({
gameState: mockGameState,
narration: [],
thinking: new Set<number>(),
hand: mockHand,
gameOver: null,
status: 'Connected',
sendMove: mockSendMove,
sendConcede: mockSendConcede,
}),
}));
describe('GamePage integration', () => {
beforeEach(() => {
vi.clearAllMocks();
});
it('renders all 4 PlayerZone components', () => {
render(
<MemoryRouter initialEntries={['/game/test-game']}>
<Routes>
<Route path="/game/:gameId" element={<GamePage />} />
</Routes>
</MemoryRouter>,
);
// P0: Alice appears in both PhaseBar and PlayerZone, so use getAllByText
expect(screen.getAllByText(/P0: Alice/).length).toBeGreaterThanOrEqual(1);
expect(screen.getAllByText(/P1: Bob/).length).toBeGreaterThanOrEqual(1);
expect(screen.getAllByText(/P2: Charlie/).length).toBeGreaterThanOrEqual(1);
expect(screen.getAllByText(/P3: Diana/).length).toBeGreaterThanOrEqual(1);
});
it('renders PhaseBar with current phase', () => {
render(
<MemoryRouter initialEntries={['/game/test-game']}>
<Routes>
<Route path="/game/:gameId" element={<GamePage />} />
</Routes>
</MemoryRouter>,
);
// main1 should be highlighted
const main1Buttons = screen.getAllByText('main1');
expect(main1Buttons.length).toBeGreaterThan(0);
});
});
-66
View File
@@ -1,66 +0,0 @@
import { render, screen } from '@testing-library/react';
import userEvent from '@testing-library/user-event';
import { describe, it, expect, vi } from 'vitest';
import MoveBar from '../components/MoveBar';
describe('MoveBar', () => {
it('calls onPass when pass button is clicked', async () => {
const onPass = vi.fn();
render(
<MoveBar
hand={[]}
humanSeat={0}
onPass={onPass}
onConcede={vi.fn()}
onPlayCard={vi.fn()}
status=""
/>,
);
await userEvent.click(screen.getByText('Pass Priority'));
expect(onPass).toHaveBeenCalledOnce();
});
it('shows confirm dialog on concede', async () => {
const onConcede = vi.fn();
const confirmSpy = vi.spyOn(window, 'confirm').mockReturnValue(true);
render(
<MoveBar
hand={[]}
humanSeat={0}
onPass={vi.fn()}
onConcede={onConcede}
onPlayCard={vi.fn()}
status=""
/>,
);
await userEvent.click(screen.getByText('Concede'));
expect(confirmSpy).toHaveBeenCalledWith('Are you sure you want to concede?');
expect(onConcede).toHaveBeenCalledOnce();
confirmSpy.mockRestore();
});
it('does not concede if confirm is cancelled', async () => {
const onConcede = vi.fn();
const confirmSpy = vi.spyOn(window, 'confirm').mockReturnValue(false);
render(
<MoveBar
hand={[]}
humanSeat={0}
onPass={vi.fn()}
onConcede={onConcede}
onPlayCard={vi.fn()}
status=""
/>,
);
await userEvent.click(screen.getByText('Concede'));
expect(onConcede).not.toHaveBeenCalled();
confirmSpy.mockRestore();
});
});
@@ -1,38 +0,0 @@
import { render, screen } from '@testing-library/react';
import { describe, it, expect } from 'vitest';
import NarrationPanel from '../components/NarrationPanel';
import type { NarrationLine } from '../types/game';
describe('NarrationPanel', () => {
it('renders only 120 lines when given more', () => {
const lines: NarrationLine[] = Array.from({ length: 150 }, (_, i) => ({
text: `Line ${i}`,
isSystem: false,
timestamp: Date.now(),
}));
render(<NarrationPanel lines={lines} thinkingSeats={new Set()} />);
// Should not render the first 30 lines (0-29)
expect(screen.queryByText('Line 0')).not.toBeInTheDocument();
expect(screen.queryByText('Line 29')).not.toBeInTheDocument();
// Should render lines 30-149
expect(screen.getByText('Line 30')).toBeInTheDocument();
expect(screen.getByText('Line 149')).toBeInTheDocument();
});
it('has a scroll container ref', () => {
const lines: NarrationLine[] = [
{ text: 'Hello world', isSystem: false, timestamp: Date.now() },
];
const { container } = render(
<NarrationPanel lines={lines} thinkingSeats={new Set()} />,
);
// The container div has overflow-y-auto
const panel = container.firstChild as HTMLElement;
expect(panel).toHaveClass('overflow-y-auto');
});
});
-38
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@@ -1,38 +0,0 @@
import { render, screen } from '@testing-library/react';
import { describe, it, expect } from 'vitest';
import PhaseBar from '../components/PhaseBar';
import type { Player } from '../types/game';
const players: Player[] = [
{
seat: 0, name: 'Alice', life: 40, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 7,
},
{
seat: 1, name: 'Bob', life: 40, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 7,
},
];
describe('PhaseBar', () => {
it('highlights the active phase tab', () => {
render(<PhaseBar phase="main1" activeSeat={0} players={players} />);
const main1 = screen.getByText('main1');
expect(main1).toHaveClass('bg-accent-blue');
});
it('does not highlight inactive phase tabs', () => {
render(<PhaseBar phase="main1" activeSeat={0} players={players} />);
const untap = screen.getByText('untap');
expect(untap).not.toHaveClass('bg-accent-blue');
expect(untap).toHaveClass('bg-[#252a42]');
});
it('shows active player name', () => {
render(<PhaseBar phase="main1" activeSeat={0} players={players} />);
expect(screen.getByText(/P0: Alice/)).toBeInTheDocument();
});
});
@@ -1,32 +0,0 @@
import { render, screen } from '@testing-library/react';
import { describe, it, expect } from 'vitest';
import PlayerZone from '../components/PlayerZone';
import type { Player } from '../types/game';
function makePlayer(overrides: Partial<Player> = {}): Player {
return {
seat: 0, name: 'Alice', life: 40, eliminated: false,
hand: [], battlefield: [], graveyard: [], exile: [], command_zone: [], hand_count: 7,
...overrides,
};
}
describe('PlayerZone life colors', () => {
it('uses life-high color for life >= 30', () => {
render(<PlayerZone player={makePlayer({ life: 35 })} isActive={false} isThinking={false} seatColour="#4696ff" />);
const life = screen.getByText('35');
expect(life).toHaveClass('text-life-high');
});
it('uses life-med color for life >= 15 and < 30', () => {
render(<PlayerZone player={makePlayer({ life: 20 })} isActive={false} isThinking={false} seatColour="#4696ff" />);
const life = screen.getByText('20');
expect(life).toHaveClass('text-life-med');
});
it('uses life-low color for life < 15', () => {
render(<PlayerZone player={makePlayer({ life: 10 })} isActive={false} isThinking={false} seatColour="#4696ff" />);
const life = screen.getByText('10');
expect(life).toHaveClass('text-life-low');
});
});
@@ -1,78 +0,0 @@
import { describe, it, expect } from 'vitest';
import { gameReducer, initialState } from '../store/gameReducer';
import type { GameState, Card, NarrationLine } from '../types/game';
const mockGameState: GameState = {
game_id: 'g1',
turn: 1,
current_phase: 'main1',
active_seat: 0,
players: [],
stack: [],
game_over: false,
winner: null,
};
const mockCard: Card = {
name: 'Sol Ring',
type: 'Artifact',
tapped: false,
is_commander: false,
oracle: '',
cmc: 1,
};
const mockLine: NarrationLine = {
text: 'Test narration',
isSystem: false,
timestamp: Date.now(),
};
describe('gameReducer', () => {
it('SET_STATE sets the game state', () => {
const result = gameReducer(initialState, { type: 'SET_STATE', payload: mockGameState });
expect(result.gameState).toEqual(mockGameState);
});
it('SET_HAND sets the hand cards', () => {
const cards = [mockCard];
const result = gameReducer(initialState, { type: 'SET_HAND', cards });
expect(result.hand).toEqual(cards);
});
it('ADD_NARRATION appends a line', () => {
const result = gameReducer(initialState, { type: 'ADD_NARRATION', line: mockLine });
expect(result.narration).toHaveLength(1);
expect(result.narration[0].text).toBe('Test narration');
});
it('ADD_NARRATION caps at 120 lines', () => {
let state = initialState;
for (let i = 0; i < 130; i++) {
state = gameReducer(state, {
type: 'ADD_NARRATION',
line: { text: `line ${i}`, isSystem: false, timestamp: Date.now() },
});
}
expect(state.narration).toHaveLength(120);
expect(state.narration[0].text).toBe('line 10');
});
it('SET_THINKING adds and removes seats', () => {
let state = gameReducer(initialState, { type: 'SET_THINKING', seat: 2, active: true });
expect(state.thinkingSeats.has(2)).toBe(true);
state = gameReducer(state, { type: 'SET_THINKING', seat: 2, active: false });
expect(state.thinkingSeats.has(2)).toBe(false);
});
it('GAME_OVER sets winner and reason', () => {
const result = gameReducer(initialState, { type: 'GAME_OVER', winner: 1, reason: 'elimination' });
expect(result.gameOver).toEqual({ winner: 1, reason: 'elimination' });
});
it('SET_STATUS sets status text', () => {
const result = gameReducer(initialState, { type: 'SET_STATUS', status: 'Connected' });
expect(result.status).toBe('Connected');
});
});
@@ -1,92 +0,0 @@
import { describe, it, expect, vi, beforeEach, afterEach } from 'vitest';
import { renderHook, act } from '@testing-library/react';
import { useGameSocket } from '../hooks/useGameSocket';
// Mock WebSocket
class MockWebSocket {
static readonly CONNECTING = 0;
static readonly OPEN = 1;
static readonly CLOSING = 2;
static readonly CLOSED = 3;
static instances: MockWebSocket[] = [];
url: string;
readyState = 1; // OPEN
onopen: ((ev: Event) => void) | null = null;
onmessage: ((ev: MessageEvent) => void) | null = null;
onclose: ((ev: CloseEvent) => void) | null = null;
onerror: ((ev: Event) => void) | null = null;
sent: string[] = [];
constructor(url: string) {
this.url = url;
MockWebSocket.instances.push(this);
// Simulate connection open
setTimeout(() => this.onopen?.(new Event('open')), 0);
}
send(data: string) {
this.sent.push(data);
}
close() {
this.readyState = 3;
}
simulateMessage(data: unknown) {
this.onmessage?.(new MessageEvent('message', { data: JSON.stringify(data) }));
}
}
describe('useGameSocket', () => {
beforeEach(() => {
MockWebSocket.instances = [];
vi.stubGlobal('WebSocket', MockWebSocket);
vi.useFakeTimers();
});
afterEach(() => {
vi.useRealTimers();
vi.restoreAllMocks();
});
it('dispatches state on WS message', () => {
const { result } = renderHook(() => useGameSocket('game-1'));
const ws = MockWebSocket.instances[0];
const mockState = {
game_id: 'game-1', turn: 1, current_phase: 'main1', active_seat: 0,
players: [], stack: [], game_over: false, winner: null,
};
act(() => {
ws.simulateMessage({ type: 'state', payload: mockState });
});
expect(result.current.gameState).toEqual(mockState);
});
it('dispatches hand cards on WS message', () => {
const { result } = renderHook(() => useGameSocket('game-1'));
const ws = MockWebSocket.instances[0];
const cards = [{ name: 'Sol Ring', type: 'Artifact', tapped: false, is_commander: false, oracle: '', cmc: 1 }];
act(() => {
ws.simulateMessage({ type: 'hand', cards });
});
expect(result.current.hand).toEqual(cards);
});
it('sends heartbeat ping every 15s', () => {
renderHook(() => useGameSocket('game-1'));
const ws = MockWebSocket.instances[0];
act(() => {
vi.advanceTimersByTime(15000);
});
expect(ws.sent).toContain(JSON.stringify({ type: 'ping' }));
});
});
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import type { GameState } from '../types/game';
import { SEAT_COLOURS } from '../constants';
import PlayerZone from './PlayerZone';
import CardChip from './CardChip';
interface BoardProps {
gameState: GameState;
thinkingSeats: Set<number>;
}
export default function Board({ gameState, thinkingSeats }: BoardProps) {
const { players, active_seat, stack } = gameState;
const getPlayer = (seat: number) => players.find((p) => p.seat === seat);
const renderZone = (seat: number, className: string) => {
const player = getPlayer(seat);
if (!player) return <div className={className} />;
return (
<div className={className}>
<PlayerZone
player={player}
isActive={active_seat === seat}
isThinking={thinkingSeats.has(seat)}
seatColour={SEAT_COLOURS[seat]}
/>
</div>
);
};
return (
<div className="grid grid-cols-[180px_1fr_180px] grid-rows-3 gap-1 flex-1">
{/* Row 1: P1 (top-left), stack center, P2 (top-right) */}
{renderZone(1, 'row-start-1 col-start-1')}
<div className="bg-bg-zone border border-accent-purple rounded-md min-h-[60px] row-span-3 col-start-2 p-2 overflow-y-auto">
<span className="text-[10px] text-[#666] block mb-1">Stack</span>
<div className="flex flex-wrap gap-0.5">
{stack.map((card, i) => (
<CardChip key={i} card={card} />
))}
</div>
</div>
{renderZone(2, 'row-start-1 col-start-3')}
{/* Row 2: empty side cells (stack spans all 3 rows in center) */}
<div className="row-start-2 col-start-1" />
<div className="row-start-2 col-start-3" />
{/* Row 3: P0 (bottom-left), P3 (bottom-right) */}
{renderZone(0, 'row-start-3 col-start-1')}
{renderZone(3, 'row-start-3 col-start-3')}
</div>
);
}
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import type { Card } from '../types/game';
interface CardChipProps {
card: Card;
onClick?: () => void;
}
export default function CardChip({ card, onClick }: CardChipProps) {
return (
<span
onClick={onClick}
className={`bg-card-bg border border-[#444] rounded text-[10px] max-w-[110px] overflow-hidden text-ellipsis whitespace-nowrap cursor-pointer px-1.5 py-0.5 hover:border-[#ffdc32] ${
card.tapped ? 'opacity-55 italic' : ''
}`}
>
{card.name}
{card.is_commander && <span className="text-[#ffd200]"> ★</span>}
</span>
);
}
@@ -1,40 +0,0 @@
import type { Player } from '../types/game';
import { SEAT_COLOURS } from '../constants';
interface GameOverOverlayProps {
show: boolean;
winner: Player | null;
reason: string;
players: Player[];
}
export default function GameOverOverlay({ show, winner, reason, players }: GameOverOverlayProps) {
if (!show) return null;
return (
<div className="fixed inset-0 bg-black/80 z-[100] flex items-center justify-center">
<div className="bg-bg-zone border-2 border-[#4060c0] rounded-[10px] px-[60px] py-10 text-center">
{winner && (
<h2
className="text-4xl font-bold"
style={{ color: SEAT_COLOURS[winner.seat] }}
>
{winner.name} Wins!
</h2>
)}
<p className="text-base text-[#aaa] mt-2">{reason}</p>
<ul className="mt-6 space-y-1">
{players.map((p) => (
<li key={p.seat} className="text-sm">
<span style={{ color: SEAT_COLOURS[p.seat] }}>P{p.seat}</span>{' '}
{p.name} — {p.life} life
{p.eliminated && (
<span className="text-red-500 ml-1 font-bold">[ELIM]</span>
)}
</li>
))}
</ul>
</div>
</div>
);
}
-23
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@@ -1,23 +0,0 @@
import type { Card } from '../types/game';
interface HandCardProps {
card: Card;
index: number;
isSelected: boolean;
onClick: () => void;
}
export default function HandCard({ card, isSelected, onClick }: HandCardProps) {
return (
<button
onClick={onClick}
className={`rounded text-[11px] px-2 py-1 cursor-pointer ${
isSelected
? 'border border-[#ffdc32] bg-card-selected'
: 'bg-card-hand border border-[#5060a0]'
}`}
>
{card.name}
</button>
);
}
-54
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import { useState } from 'react';
import type { Card } from '../types/game';
import HandCard from './HandCard';
interface MoveBarProps {
hand: Card[];
humanSeat: number;
onPass: () => void;
onConcede: () => void;
onPlayCard: (index: number) => void;
status: string;
}
export default function MoveBar({ hand, onPass, onConcede, onPlayCard, status }: MoveBarProps) {
const [selectedIndex, setSelectedIndex] = useState<number | null>(null);
const handleCardClick = (index: number) => {
if (selectedIndex === index) {
onPlayCard(index);
setSelectedIndex(null);
} else {
setSelectedIndex(index);
}
};
return (
<div className="bg-bg-bar border-t border-[#2a2e48] px-2.5 py-1.5 flex items-center gap-2">
<button
onClick={onPass}
className="bg-[#2a5090] border border-[#4080d0] text-white rounded px-3 py-1 text-sm cursor-pointer hover:brightness-110"
>
Pass Priority
</button>
<button
onClick={() => {
if (window.confirm('Are you sure you want to concede?')) onConcede();
}}
className="bg-[#2a3868] border border-[#4060a0] text-white rounded px-3 py-1 text-sm cursor-pointer"
>
Concede
</button>
{hand.map((card, i) => (
<HandCard
key={i}
card={card}
index={i}
isSelected={selectedIndex === i}
onClick={() => handleCardClick(i)}
/>
))}
<span className="text-[11px] text-[#778] ml-auto">{status}</span>
</div>
);
}
@@ -1,68 +0,0 @@
import { useRef, useEffect, useState } from 'react';
import type { NarrationLine } from '../types/game';
import { SEAT_COLOURS } from '../constants';
interface NarrationPanelProps {
lines: NarrationLine[];
thinkingSeats: Set<number>;
}
export default function NarrationPanel({ lines, thinkingSeats }: NarrationPanelProps) {
const containerRef = useRef<HTMLDivElement>(null);
const [dots, setDots] = useState('.');
// Auto-scroll on new lines
useEffect(() => {
const el = containerRef.current;
if (el) el.scrollTop = el.scrollHeight;
}, [lines.length]);
// Cycling dots for thinking animation
useEffect(() => {
if (thinkingSeats.size === 0) return;
const interval = setInterval(() => {
setDots((prev) => (prev.length >= 3 ? '.' : prev + '.'));
}, 500);
return () => clearInterval(interval);
}, [thinkingSeats.size]);
const displayed = lines.slice(-120);
return (
<div
ref={containerRef}
className="w-[260px] bg-bg-panel border-l border-[#2a2e48] overflow-y-auto p-2 flex flex-col"
>
{displayed.map((line, i) => {
let colorClass = 'text-[#e8e8e8]';
let style: React.CSSProperties | undefined;
if (line.isSystem) {
colorClass = 'text-[#556]';
} else if (line.seat !== undefined) {
colorClass = '';
style = { color: SEAT_COLOURS[line.seat] };
}
return (
<div
key={i}
className={`text-[11px] leading-[1.4] break-words ${colorClass}`}
style={style}
>
{line.text}
</div>
);
})}
{thinkingSeats.size > 0 &&
Array.from(thinkingSeats).map((seat) => (
<div
key={`thinking-${seat}`}
className="text-[11px] leading-[1.4] break-words text-accent-think italic"
>
P{seat} thinking{dots}
</div>
))}
</div>
);
}
-37
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import type { Phase, Player } from '../types/game';
import { PHASES, SEAT_COLOURS } from '../constants';
interface PhaseBarProps {
phase: Phase;
activeSeat: number;
players: Player[];
}
export default function PhaseBar({ phase, activeSeat, players }: PhaseBarProps) {
const activePlayer = players.find((p) => p.seat === activeSeat);
return (
<div className="h-[34px] bg-[#1e2338] px-2 py-1 flex items-center gap-1">
{PHASES.map((p) => (
<button
key={p}
className={`text-[11px] rounded px-2 py-0.5 ${
p === phase
? 'bg-accent-blue text-white'
: 'bg-[#252a42] text-[#888]'
}`}
>
{p}
</button>
))}
{activePlayer && (
<span
className="text-[11px] ml-auto font-bold"
style={{ color: SEAT_COLOURS[activeSeat] }}
>
P{activeSeat}: {activePlayer.name}
</span>
)}
</div>
);
}
-40
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import type { Player } from '../types/game';
import CardChip from './CardChip';
interface PlayerZoneProps {
player: Player;
isActive: boolean;
isThinking: boolean;
seatColour: string;
}
function lifeColor(life: number): string {
if (life >= 30) return 'text-life-high';
if (life >= 15) return 'text-life-med';
return 'text-life-low';
}
export default function PlayerZone({ player, isActive, isThinking, seatColour }: PlayerZoneProps) {
return (
<div
className={`bg-bg-zone border border-[#3a4060] rounded-md p-1.5 ${
isThinking ? 'animate-pulse' : ''
} ${player.eliminated ? 'opacity-40' : ''}`}
style={isActive ? { borderColor: seatColour } : undefined}
>
<div className="flex items-center justify-between mb-1">
<span className="text-[11px] text-[#666]">
P{player.seat}: {player.name}
</span>
<span className={`text-[28px] font-bold ${lifeColor(player.life)}`}>
{player.life}
</span>
</div>
<div className="flex flex-wrap gap-0.5">
{player.battlefield.map((card, i) => (
<CardChip key={i} card={card} />
))}
</div>
</div>
);
}
-9
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@@ -1,9 +0,0 @@
import type { Phase } from './types/game';
export const SEAT_COLOURS = ['#4696ff', '#ff6450', '#50d278', '#dcaa32'] as const;
export const PHASES: Phase[] = [
'untap', 'upkeep', 'draw', 'main1',
'begin_combat', 'declare_attackers', 'declare_blockers', 'combat_damage',
'main2', 'end_step', 'cleanup',
];
-132
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import { useReducer, useRef, useEffect, useCallback } from 'react';
import { gameReducer, initialState } from '../store/gameReducer';
import type { WsIncoming, NarrationLine } from '../types/game';
export function useGameSocket(gameId: string) {
const [state, dispatch] = useReducer(gameReducer, initialState);
const wsRef = useRef<WebSocket | null>(null);
const reconnectTimeout = useRef<ReturnType<typeof setTimeout> | null>(null);
const heartbeatInterval = useRef<ReturnType<typeof setInterval> | null>(null);
const intentionalClose = useRef(false);
const connect = useCallback(() => {
const url = `ws://${window.location.host}/ws/game/${gameId}`;
const ws = new WebSocket(url);
wsRef.current = ws;
ws.onopen = () => {
dispatch({ type: 'SET_STATUS', status: 'Connected' });
};
ws.onmessage = (event) => {
const msg: WsIncoming = JSON.parse(event.data);
switch (msg.type) {
case 'state':
dispatch({ type: 'SET_STATE', payload: msg.payload });
break;
case 'hand':
dispatch({ type: 'SET_HAND', cards: msg.cards });
break;
case 'event': {
const line: NarrationLine = {
text: msg.text,
seat: msg.seat,
isSystem: false,
timestamp: Date.now(),
};
dispatch({ type: 'ADD_NARRATION', line });
break;
}
case 'phase': {
const line: NarrationLine = {
text: `Phase: ${msg.phase} (P${msg.active_seat})`,
isSystem: true,
timestamp: Date.now(),
};
dispatch({ type: 'ADD_NARRATION', line });
break;
}
case 'thinking':
dispatch({ type: 'SET_THINKING', seat: msg.seat, active: msg.active });
break;
case 'game_over':
dispatch({ type: 'GAME_OVER', winner: msg.winner, reason: msg.reason });
break;
case 'pong':
break;
case 'error':
dispatch({ type: 'SET_STATUS', status: `Error: ${msg.message}` });
break;
}
};
ws.onclose = () => {
if (!intentionalClose.current) {
dispatch({ type: 'SET_STATUS', status: 'Disconnected — reconnecting…' });
reconnectTimeout.current = setTimeout(() => {
connect();
}, 3000);
}
};
ws.onerror = () => {
dispatch({ type: 'SET_STATUS', status: 'Connection error' });
};
}, [gameId]);
// Connect on mount
useEffect(() => {
intentionalClose.current = false;
connect();
return () => {
intentionalClose.current = true;
if (reconnectTimeout.current) clearTimeout(reconnectTimeout.current);
wsRef.current?.close();
};
}, [connect]);
// Heartbeat ping every 15s
useEffect(() => {
heartbeatInterval.current = setInterval(() => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'ping' }));
}
}, 15000);
return () => {
if (heartbeatInterval.current) clearInterval(heartbeatInterval.current);
};
}, []);
const sendMove = useCallback((move: string, data?: Record<string, unknown>) => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'move', move, ...data }));
}
}, []);
const sendConcede = useCallback(() => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'concede' }));
}
}, []);
return {
gameState: state.gameState,
narration: state.narration,
thinking: state.thinkingSeats,
hand: state.hand,
gameOver: state.gameOver,
status: state.status,
sendMove,
sendConcede,
};
}
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import { useReducer, useRef, useEffect, useCallback } from 'react';
export interface Seat {
seat: number;
name: string;
ready: boolean;
isAi: boolean;
}
export interface RoomState {
roomId: string;
roomName: string;
host: string;
seats: (Seat | null)[];
}
export interface ChatMessage {
role: 'PLAYER' | 'AI' | 'SYSTEM';
name: string;
text: string;
timestamp: number;
}
type LobbyAction =
| { type: 'SET_ROOM'; payload: RoomState }
| { type: 'ADD_CHAT'; message: ChatMessage }
| { type: 'SET_CHAT_HISTORY'; messages: ChatMessage[] }
| { type: 'LAUNCH'; gameId: string };
interface LobbyState {
roomState: RoomState | null;
chat: ChatMessage[];
launchedGameId: string | null;
}
const initialState: LobbyState = {
roomState: null,
chat: [],
launchedGameId: null,
};
function lobbyReducer(state: LobbyState, action: LobbyAction): LobbyState {
switch (action.type) {
case 'SET_ROOM':
return { ...state, roomState: action.payload };
case 'ADD_CHAT':
return { ...state, chat: [...state.chat, action.message].slice(-50) };
case 'SET_CHAT_HISTORY':
return { ...state, chat: action.messages.slice(-50) };
case 'LAUNCH':
return { ...state, launchedGameId: action.gameId };
default:
return state;
}
}
export function useLobbySock(roomId: string, playerName: string) {
const [state, dispatch] = useReducer(lobbyReducer, initialState);
const wsRef = useRef<WebSocket | null>(null);
const reconnectTimeout = useRef<ReturnType<typeof setTimeout> | null>(null);
const heartbeatInterval = useRef<ReturnType<typeof setInterval> | null>(null);
const intentionalClose = useRef(false);
const connect = useCallback(() => {
const url = `ws://${window.location.host}/ws/lobby/${roomId}?name=${encodeURIComponent(playerName)}`;
const ws = new WebSocket(url);
wsRef.current = ws;
ws.onmessage = (event) => {
const msg = JSON.parse(event.data);
switch (msg.type) {
case 'lobby_state':
dispatch({ type: 'SET_ROOM', payload: msg.payload });
break;
case 'chat':
dispatch({
type: 'ADD_CHAT',
message: {
role: msg.role ?? 'PLAYER',
name: msg.name ?? '',
text: msg.text,
timestamp: Date.now(),
},
});
break;
case 'chat_history':
dispatch({
type: 'SET_CHAT_HISTORY',
messages: (msg.messages ?? []).map((m: { role?: string; name?: string; text: string }) => ({
role: m.role ?? 'SYSTEM',
name: m.name ?? '',
text: m.text,
timestamp: Date.now(),
})),
});
break;
case 'launch':
dispatch({ type: 'LAUNCH', gameId: msg.game_id });
break;
case 'pong':
break;
}
};
ws.onclose = () => {
if (!intentionalClose.current) {
reconnectTimeout.current = setTimeout(() => connect(), 3000);
}
};
}, [roomId, playerName]);
useEffect(() => {
intentionalClose.current = false;
connect();
return () => {
intentionalClose.current = true;
if (reconnectTimeout.current) clearTimeout(reconnectTimeout.current);
wsRef.current?.close();
};
}, [connect]);
// Heartbeat ping every 15s
useEffect(() => {
heartbeatInterval.current = setInterval(() => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'ping' }));
}
}, 15000);
return () => {
if (heartbeatInterval.current) clearInterval(heartbeatInterval.current);
};
}, []);
const sendReady = useCallback((seat: number) => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'ready', seat }));
}
}, []);
const sendChat = useCallback((text: string) => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'chat', text }));
}
}, []);
const sendLaunch = useCallback(() => {
if (wsRef.current?.readyState === WebSocket.OPEN) {
wsRef.current.send(JSON.stringify({ type: 'launch' }));
}
}, []);
return {
roomState: state.roomState,
chat: state.chat,
launchedGameId: state.launchedGameId,
sendReady,
sendChat,
sendLaunch,
};
}
-3
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@@ -1,3 +0,0 @@
@tailwind base;
@tailwind components;
@tailwind utilities;
-10
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@@ -1,10 +0,0 @@
import { StrictMode } from 'react'
import { createRoot } from 'react-dom/client'
import './index.css'
import App from './App.tsx'
createRoot(document.getElementById('root')!).render(
<StrictMode>
<App />
</StrictMode>,
)
-53
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@@ -1,53 +0,0 @@
import { useParams } from 'react-router-dom';
import { useGameSocket } from '../hooks/useGameSocket';
import PhaseBar from '../components/PhaseBar';
import Board from '../components/Board';
import NarrationPanel from '../components/NarrationPanel';
import MoveBar from '../components/MoveBar';
import GameOverOverlay from '../components/GameOverOverlay';
export default function GamePage() {
const { gameId } = useParams<{ gameId: string }>();
const { gameState, narration, thinking, hand, gameOver, status, sendMove, sendConcede } =
useGameSocket(gameId!);
if (!gameState) {
return (
<div className="flex items-center justify-center h-screen bg-bg-base text-white">
Connecting…
</div>
);
}
const winnerPlayer = gameOver
? gameState.players.find((p) => p.seat === gameOver.winner) ?? null
: null;
return (
<div className="flex flex-col h-screen overflow-hidden bg-bg-base text-white">
<PhaseBar
phase={gameState.current_phase}
activeSeat={gameState.active_seat}
players={gameState.players}
/>
<div className="flex flex-1 overflow-hidden">
<Board gameState={gameState} thinkingSeats={thinking} />
<NarrationPanel lines={narration} thinkingSeats={thinking} />
</div>
<MoveBar
hand={hand}
humanSeat={0}
onPass={() => sendMove('pass')}
onConcede={sendConcede}
onPlayCard={(index) => sendMove('play_card', { index })}
status={status}
/>
<GameOverOverlay
show={gameOver !== null}
winner={winnerPlayer}
reason={gameOver?.reason ?? ''}
players={gameState.players}
/>
</div>
);
}
-141
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@@ -1,141 +0,0 @@
import { useEffect, useState } from 'react';
import { useNavigate } from 'react-router-dom';
interface RoomSummary {
roomId: string;
name: string;
host: string;
playerCount: number;
}
export default function LobbyPage() {
const navigate = useNavigate();
const [rooms, setRooms] = useState<RoomSummary[]>([]);
const [loading, setLoading] = useState(true);
// Create room form state
const [roomName, setRoomName] = useState('');
const [hostName, setHostName] = useState('');
const [aiSlots, setAiSlots] = useState(0);
const [password, setPassword] = useState('');
const [creating, setCreating] = useState(false);
useEffect(() => {
fetch('/api/v1/lobby/rooms')
.then((res) => res.json())
.then((data) => setRooms(data))
.catch(() => setRooms([]))
.finally(() => setLoading(false));
}, []);
const handleCreate = async (e: React.FormEvent) => {
e.preventDefault();
setCreating(true);
try {
const res = await fetch('/api/v1/lobby/rooms', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
name: roomName,
host: hostName,
ai_slots: aiSlots,
password: password || undefined,
}),
});
const data = await res.json();
navigate(`/room/${data.roomId}?name=${encodeURIComponent(hostName)}`);
} catch {
setCreating(false);
}
};
return (
<div className="min-h-screen bg-bg-base text-white p-6">
<h1 className="text-3xl font-bold mb-6">Commander AI Lab — Lobby</h1>
<div className="grid grid-cols-1 md:grid-cols-2 gap-6 max-w-4xl">
{/* Room List */}
<div className="bg-bg-zone rounded-lg border border-border-zone p-4">
<h2 className="text-lg font-semibold mb-3">Open Rooms</h2>
{loading ? (
<p className="text-text-muted text-sm">Loading...</p>
) : rooms.length === 0 ? (
<p className="text-text-muted text-sm">No rooms available. Create one!</p>
) : (
<ul className="space-y-2">
{rooms.map((room) => (
<li key={room.roomId}>
<button
onClick={() => navigate(`/room/${room.roomId}`)}
className="w-full text-left bg-bg-panel border border-border-zone rounded px-3 py-2 hover:border-accent-blue transition-colors"
>
<span className="font-medium">{room.name}</span>
<span className="text-text-muted text-sm ml-2">
Host: {room.host} · {room.playerCount}/4 players
</span>
</button>
</li>
))}
</ul>
)}
</div>
{/* Create Room Form */}
<div className="bg-bg-zone rounded-lg border border-border-zone p-4">
<h2 className="text-lg font-semibold mb-3">Create Room</h2>
<form onSubmit={handleCreate} className="space-y-3">
<div>
<label className="block text-sm text-text-muted mb-1">Room Name</label>
<input
type="text"
value={roomName}
onChange={(e) => setRoomName(e.target.value)}
required
className="w-full bg-bg-panel border border-border-zone rounded px-3 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
/>
</div>
<div>
<label className="block text-sm text-text-muted mb-1">Your Name</label>
<input
type="text"
value={hostName}
onChange={(e) => setHostName(e.target.value)}
required
className="w-full bg-bg-panel border border-border-zone rounded px-3 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
/>
</div>
<div>
<label className="block text-sm text-text-muted mb-1">AI Players</label>
<select
value={aiSlots}
onChange={(e) => setAiSlots(Number(e.target.value))}
className="w-full bg-bg-panel border border-border-zone rounded px-3 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
>
<option value={0}>0 AI players</option>
<option value={1}>1 AI player</option>
<option value={2}>2 AI players</option>
<option value={3}>3 AI players</option>
</select>
</div>
<div>
<label className="block text-sm text-text-muted mb-1">Password (optional)</label>
<input
type="password"
value={password}
onChange={(e) => setPassword(e.target.value)}
className="w-full bg-bg-panel border border-border-zone rounded px-3 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
/>
</div>
<button
type="submit"
disabled={creating}
className="w-full bg-btn-primary border border-border-btn-primary text-white rounded px-4 py-2 text-sm font-medium hover:brightness-110 disabled:opacity-50"
>
{creating ? 'Creating...' : 'Create Room'}
</button>
</form>
</div>
</div>
</div>
);
}
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@@ -1,220 +0,0 @@
import { useState, useEffect, useRef } from 'react';
import { useParams, useSearchParams, useNavigate } from 'react-router-dom';
import { useLobbySock } from '../hooks/useLobbySock';
import type { ChatMessage } from '../hooks/useLobbySock';
const ROLE_COLORS: Record<string, string> = {
PLAYER: 'text-accent-blue',
AI: 'text-accent-purple',
SYSTEM: 'text-text-muted',
};
function ChatBadge({ role }: { role: string }) {
return (
<span className={`text-[10px] font-bold mr-1 ${ROLE_COLORS[role] ?? 'text-text-muted'}`}>
[{role}]
</span>
);
}
export default function RoomPage() {
const { roomId } = useParams<{ roomId: string }>();
const [searchParams] = useSearchParams();
const navigate = useNavigate();
const isSpectator = searchParams.get('spectate') === '1';
const nameFromUrl = searchParams.get('name') ?? '';
const [playerName, setPlayerName] = useState(nameFromUrl);
const [nameConfirmed, setNameConfirmed] = useState(!!nameFromUrl);
const [chatInput, setChatInput] = useState('');
const chatEndRef = useRef<HTMLDivElement>(null);
const { roomState, chat, launchedGameId, sendReady, sendChat, sendLaunch } =
useLobbySock(roomId!, nameConfirmed ? playerName : '');
// Redirect when game launches
useEffect(() => {
if (launchedGameId) {
navigate(`/game/${launchedGameId}`);
}
}, [launchedGameId, navigate]);
// Auto-scroll chat
useEffect(() => {
chatEndRef.current?.scrollIntoView({ behavior: 'smooth' });
}, [chat.length]);
// Determine own seat
const mySeat = roomState?.seats.findIndex(
(s) => s && !s.isAi && s.name === playerName,
) ?? -1;
const isHost = mySeat === 0;
if (!nameConfirmed) {
return (
<div className="flex items-center justify-center h-screen bg-bg-base text-white">
<div className="bg-bg-zone border border-border-zone rounded-lg p-6 w-80">
<h2 className="text-lg font-semibold mb-3">Enter your name</h2>
<input
type="text"
value={playerName}
onChange={(e) => setPlayerName(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter' && playerName.trim()) setNameConfirmed(true);
}}
className="w-full bg-bg-panel border border-border-zone rounded px-3 py-1.5 text-sm text-white mb-3 focus:outline-none focus:border-accent-blue"
autoFocus
/>
<button
onClick={() => playerName.trim() && setNameConfirmed(true)}
className="w-full bg-btn-primary border border-border-btn-primary text-white rounded px-4 py-2 text-sm font-medium hover:brightness-110"
>
Join Room
</button>
</div>
</div>
);
}
if (!roomState) {
return (
<div className="flex items-center justify-center h-screen bg-bg-base text-white">
Connecting to room...
</div>
);
}
const handleSendChat = () => {
if (chatInput.trim()) {
sendChat(chatInput.trim());
setChatInput('');
}
};
return (
<div className="flex flex-col h-screen bg-bg-base text-white">
{/* Header */}
<div className="bg-bg-bar border-b border-border-sep px-4 py-2 flex items-center justify-between">
<div>
<h1 className="text-lg font-bold">{roomState.roomName}</h1>
<span className="text-text-muted text-sm">Host: {roomState.host}</span>
</div>
{isSpectator && (
<span className="text-text-muted text-xs bg-bg-panel px-2 py-1 rounded">
SPECTATING
</span>
)}
</div>
<div className="flex flex-1 overflow-hidden">
{/* Seat Grid */}
<div className="flex-1 p-4">
<div className="grid grid-cols-2 gap-3 max-w-lg">
{[0, 1, 2, 3].map((seatIdx) => {
const seat = roomState.seats[seatIdx];
return (
<div
key={seatIdx}
className="bg-bg-zone border border-border-zone rounded-lg p-4 min-h-[100px] flex flex-col items-center justify-center"
>
{seat ? (
<>
<span className="text-sm font-medium">
{seat.isAi ? '🤖 AI' : seat.name}
</span>
<span className="text-xs text-text-muted mt-1">
Seat {seatIdx}
</span>
{!seat.isAi && (
<span
className={`text-xs mt-1 font-bold ${
seat.ready ? 'text-life-high' : 'text-life-med'
}`}
>
{seat.ready ? 'READY' : 'Not Ready'}
</span>
)}
</>
) : (
<>
<span className="text-text-muted text-sm">Waiting...</span>
<span className="text-xs text-text-muted mt-1">
Seat {seatIdx}
</span>
</>
)}
</div>
);
})}
</div>
{/* Action buttons */}
{!isSpectator && (
<div className="mt-4 flex gap-3">
{mySeat >= 0 && (
<button
onClick={() => sendReady(mySeat)}
className="bg-btn-primary border border-border-btn-primary text-white rounded px-4 py-2 text-sm font-medium hover:brightness-110"
>
Toggle Ready
</button>
)}
{isHost && (
<button
onClick={async () => {
try {
const res = await fetch(`/api/v1/lobby/rooms/${roomId}/launch`, {
method: 'POST',
});
const data = await res.json();
if (data.gameId) {
navigate(`/game/${data.gameId}`);
}
} catch {
// launch via WS fallback
sendLaunch();
}
}}
className="bg-life-high border border-life-high text-white rounded px-4 py-2 text-sm font-bold hover:brightness-110"
>
Launch Game
</button>
)}
</div>
)}
</div>
{/* Chat Panel */}
<div className="w-[280px] bg-bg-panel border-l border-border-sep flex flex-col">
<div className="px-3 py-2 border-b border-border-sep text-sm font-semibold">
Chat
</div>
<div className="flex-1 overflow-y-auto p-2 space-y-1">
{chat.map((msg: ChatMessage, i: number) => (
<div key={i} className="text-[11px] leading-[1.4] break-words">
<ChatBadge role={msg.role} />
{msg.name && <span className="font-medium mr-1">{msg.name}:</span>}
<span className="text-text-body">{msg.text}</span>
</div>
))}
<div ref={chatEndRef} />
</div>
{!isSpectator && (
<div className="border-t border-border-sep p-2">
<input
type="text"
value={chatInput}
onChange={(e) => setChatInput(e.target.value)}
onKeyDown={(e) => {
if (e.key === 'Enter') handleSendChat();
}}
placeholder="Type a message..."
className="w-full bg-bg-base border border-border-zone rounded px-2 py-1 text-xs text-white focus:outline-none focus:border-accent-blue"
/>
</div>
)}
</div>
</div>
</div>
);
}
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@@ -1,391 +0,0 @@
import { useEffect, useRef, useState } from 'react';
import { SEAT_COLOURS } from '../constants';
import type { SimDeck, SimResult } from '../types/simulator';
const SEAT_LABELS = ['Seat 1 (You)', 'Seat 2', 'Seat 3', 'Seat 4'];
type SimStatus = 'idle' | 'running' | 'complete' | 'error';
export default function SimulatorPage() {
// Deck list from API
const [decks, setDecks] = useState<SimDeck[]>([]);
const [loadingDecks, setLoadingDecks] = useState(true);
// Slot selections (4 slots, null = empty)
const [slots, setSlots] = useState<(number | null)[]>([null, null, null, null]);
// Config
const [numGames, setNumGames] = useState(10);
const [engineType, setEngineType] = useState('heuristic');
const [recordLogs, setRecordLogs] = useState(true);
// Sim state
const [simId, setSimId] = useState<string | null>(null);
const [status, setStatus] = useState<SimStatus>('idle');
const [completed, setCompleted] = useState(0);
const [total, setTotal] = useState(0);
const [result, setResult] = useState<SimResult | null>(null);
const [games, setGames] = useState<unknown[]>([]);
const [error, setError] = useState<string | null>(null);
const [showLogs, setShowLogs] = useState(false);
const pollRef = useRef<ReturnType<typeof setInterval> | null>(null);
// Fetch decks on mount
useEffect(() => {
fetch('/api/decks')
.then((res) => res.json())
.then((data) => {
const list = (data.decks || []).map((d: Record<string, unknown>) => ({
id: d.id as number,
name: d.name as string,
commander_name: (d.commander_name || '') as string,
color_identity: (d.color_identity || []) as string[],
}));
setDecks(list);
})
.catch(() => setDecks([]))
.finally(() => setLoadingDecks(false));
}, []);
// Polling
useEffect(() => {
if (status !== 'running' || !simId) return;
pollRef.current = setInterval(async () => {
try {
const res = await fetch(`/api/sim/status?simId=${simId}`);
const data = await res.json();
setCompleted(data.completed ?? 0);
setTotal(data.total ?? 0);
if (data.status === 'complete') {
setStatus('complete');
// Fetch results
const rres = await fetch(`/api/sim/result?simId=${simId}`);
const rdata = await rres.json();
setResult(rdata.summary ?? null);
setGames(rdata.games ?? []);
} else if (data.status === 'error') {
setStatus('error');
setError(data.error || 'Simulation failed');
}
} catch {
// keep polling
}
}, 1000);
return () => {
if (pollRef.current) clearInterval(pollRef.current);
};
}, [status, simId]);
const selectedCount = slots.filter((s) => s !== null).length;
const canRun = selectedCount >= 2 && status !== 'running';
const handleRun = async () => {
const deckIds = slots.filter((s): s is number => s !== null);
setStatus('running');
setCompleted(0);
setTotal(numGames);
setResult(null);
setGames([]);
setError(null);
try {
const res = await fetch('/api/sim/run-n-player', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
deckIds,
numGames,
recordLogs,
engineType,
}),
});
const data = await res.json();
if (!res.ok) {
setStatus('error');
setError(data.error || 'Failed to start simulation');
return;
}
setSimId(data.simId);
setTotal(data.total);
} catch {
setStatus('error');
setError('Network error');
}
};
const setSlot = (idx: number, value: number | null) => {
setSlots((prev) => {
const next = [...prev];
next[idx] = value;
return next;
});
};
const getDeckById = (id: number) => decks.find((d) => d.id === id);
return (
<div className="min-h-screen bg-bg-base text-white p-6">
<div className="max-w-5xl mx-auto">
<h1 className="text-3xl font-bold mb-2">Batch Simulator</h1>
<p className="text-text-muted text-sm mb-6">
Run N-player Monte Carlo simulations with your decks.
</p>
{/* Deck Selection */}
<div className="mb-6">
<h2 className="text-lg font-semibold mb-3">Deck Slots</h2>
<div className="grid grid-cols-2 md:grid-cols-4 gap-4">
{SEAT_LABELS.map((label, idx) => {
const selected = slots[idx];
const deck = selected !== null ? getDeckById(selected) : null;
return (
<div
key={idx}
className="bg-bg-zone rounded-md p-4"
style={{
border: `2px solid ${selected !== null ? SEAT_COLOURS[idx] : '#3a4060'}`,
boxShadow: selected !== null ? `0 0 8px ${SEAT_COLOURS[idx]}40` : 'none',
}}
>
<div
className="text-sm font-medium mb-2"
style={{ color: SEAT_COLOURS[idx] }}
>
{label}
</div>
<select
value={selected ?? ''}
onChange={(e) => setSlot(idx, e.target.value ? Number(e.target.value) : null)}
className="w-full bg-bg-panel border border-border-zone rounded px-2 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
>
<option value="">— Empty —</option>
{decks.map((d) => (
<option key={d.id} value={d.id}>
{d.name}
</option>
))}
</select>
{deck && (
<div className="mt-2 text-xs text-text-muted">
{deck.commander_name && (
<div className="truncate">{deck.commander_name}</div>
)}
{deck.color_identity.length > 0 && (
<div>{deck.color_identity.join(' ')}</div>
)}
</div>
)}
</div>
);
})}
</div>
{loadingDecks && (
<p className="text-text-muted text-sm mt-2">Loading decks...</p>
)}
</div>
{/* Config Row */}
<div className="flex flex-wrap items-end gap-4 mb-6 bg-bg-zone rounded-md border border-border-zone p-4">
<div>
<label className="block text-sm text-text-muted mb-1">Games</label>
<input
type="number"
min={1}
max={1000}
value={numGames}
onChange={(e) => setNumGames(Math.max(1, Math.min(1000, Number(e.target.value))))}
className="w-24 bg-bg-panel border border-border-zone rounded px-2 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
/>
</div>
<div>
<label className="block text-sm text-text-muted mb-1">Engine</label>
<select
value={engineType}
onChange={(e) => setEngineType(e.target.value)}
className="bg-bg-panel border border-border-zone rounded px-2 py-1.5 text-sm text-white focus:outline-none focus:border-accent-blue"
>
<option value="heuristic">Heuristic AI</option>
<option value="deepseek">DeepSeek AI</option>
</select>
</div>
<div className="flex items-center gap-2">
<input
type="checkbox"
id="recordLogs"
checked={recordLogs}
onChange={(e) => setRecordLogs(e.target.checked)}
className="rounded"
/>
<label htmlFor="recordLogs" className="text-sm text-text-muted">
Record Logs
</label>
</div>
<button
onClick={handleRun}
disabled={!canRun}
className="bg-accent-blue text-white rounded px-4 py-2 text-sm font-medium hover:brightness-110 disabled:opacity-50 disabled:cursor-not-allowed"
>
{status === 'running' ? (
<span className="flex items-center gap-2">
<span className="inline-block w-4 h-4 border-2 border-white border-t-transparent rounded-full animate-spin" />
Running...
</span>
) : (
'Run Simulation'
)}
</button>
</div>
{/* Progress */}
{status === 'running' && (
<div className="mb-6">
<div className="flex justify-between text-sm text-text-muted mb-1">
<span>Progress</span>
<span>
{completed} / {total} games
</span>
</div>
<div className="w-full bg-bg-panel rounded-full h-3 overflow-hidden">
<div
className="h-full bg-accent-blue rounded-full transition-all duration-300"
style={{ width: `${total > 0 ? (completed / total) * 100 : 0}%` }}
/>
</div>
</div>
)}
{/* Error */}
{status === 'error' && error && (
<div className="mb-6 bg-red-900/30 border border-red-700 rounded-md p-3 text-sm text-red-300">
{error}
</div>
)}
{/* Results */}
{status === 'complete' && result && (
<div className="space-y-6">
<div className="flex items-center gap-4 text-sm text-text-muted">
<span>{result.totalGames} games</span>
<span>{result.playerCount} players</span>
<span>{result.elapsedSeconds}s elapsed</span>
</div>
{/* Win Rate Bar Chart */}
<div className="bg-bg-zone rounded-md border border-border-zone p-4">
<h3 className="text-sm font-semibold mb-3">Win Rates</h3>
<div className="space-y-2">
{result.players.map((p) => (
<div key={p.seat} className="flex items-center gap-3">
<div className="w-28 text-sm truncate" style={{ color: SEAT_COLOURS[p.seat] }}>
{p.deckName}
</div>
<div className="flex-1 bg-bg-panel rounded-full h-5 overflow-hidden">
<div
className="h-full rounded-full transition-all duration-500"
style={{
width: `${p.winRate}%`,
backgroundColor: SEAT_COLOURS[p.seat],
minWidth: p.winRate > 0 ? '2px' : '0',
}}
/>
</div>
<div className="w-16 text-right text-sm font-mono">
{p.winRate}%
</div>
</div>
))}
</div>
</div>
{/* Stats Table */}
<div className="bg-bg-zone rounded-md border border-border-zone overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-border-zone text-text-muted">
<th className="text-left px-3 py-2">Seat</th>
<th className="text-left px-3 py-2">Deck</th>
<th className="text-right px-3 py-2">Wins</th>
<th className="text-right px-3 py-2">Win%</th>
<th className="text-right px-3 py-2">Avg Turns</th>
<th className="text-right px-3 py-2">Avg Dmg</th>
<th className="text-right px-3 py-2">Avg Spells</th>
<th className="text-right px-3 py-2">Avg Creatures</th>
<th className="text-right px-3 py-2">Avg Removal</th>
</tr>
</thead>
<tbody>
{result.players.map((p) => {
const isWinner = result.players.every((o) => o.wins <= p.wins);
return (
<tr
key={p.seat}
className={`border-b border-border-zone ${isWinner ? 'font-semibold' : ''}`}
style={{
backgroundColor: `${SEAT_COLOURS[p.seat]}${isWinner ? '20' : '0a'}`,
}}
>
<td className="px-3 py-2" style={{ color: SEAT_COLOURS[p.seat] }}>
P{p.seat + 1}
</td>
<td className="px-3 py-2">{p.deckName}</td>
<td className="text-right px-3 py-2">{p.wins}</td>
<td className="text-right px-3 py-2">{p.winRate}%</td>
<td className="text-right px-3 py-2">{p.avgTurns}</td>
<td className="text-right px-3 py-2">{p.avgDamageDealt}</td>
<td className="text-right px-3 py-2">{p.avgSpellsCast}</td>
<td className="text-right px-3 py-2">{p.avgCreaturesPlayed}</td>
<td className="text-right px-3 py-2">{p.avgRemovalUsed}</td>
</tr>
);
})}
</tbody>
</table>
</div>
{/* Per-Game Logs (collapsible) */}
{games.length > 0 && (
<div className="bg-bg-zone rounded-md border border-border-zone">
<button
onClick={() => setShowLogs(!showLogs)}
className="w-full text-left px-4 py-3 text-sm font-medium flex justify-between items-center hover:bg-bg-panel transition-colors"
>
<span>Per-Game Results ({games.length} games)</span>
<span className="text-text-muted">{showLogs ? '▲' : '▼'}</span>
</button>
{showLogs && (
<div className="px-4 pb-3 max-h-96 overflow-y-auto">
<div className="space-y-1">
{games.map((g: unknown, i: number) => {
const game = g as Record<string, unknown>;
return (
<div
key={i}
className="flex items-center gap-3 text-xs text-text-muted py-1 border-b border-border-zone"
>
<span className="w-12 font-mono">#{game.gameNumber as number}</span>
<span>
Winner:{' '}
<span
style={{
color: SEAT_COLOURS[(game.winner ?? game.winningSeat ?? 0) as number],
}}
>
P{((game.winner ?? game.winningSeat ?? 0) as number) + 1}
</span>
</span>
<span>{game.turns as number} turns</span>
</div>
);
})}
</div>
</div>
)}
</div>
)}
</div>
)}
</div>
</div>
);
}
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import type { GameState, Card, NarrationLine } from '../types/game';
export type GameAction =
| { type: 'SET_STATE'; payload: GameState }
| { type: 'SET_HAND'; cards: Card[] }
| { type: 'ADD_NARRATION'; line: NarrationLine }
| { type: 'SET_THINKING'; seat: number; active: boolean }
| { type: 'GAME_OVER'; winner: number; reason: string }
| { type: 'SET_STATUS'; status: string };
export interface ReducerState {
gameState: GameState | null;
hand: Card[];
narration: NarrationLine[];
thinkingSeats: Set<number>;
gameOver: { winner: number; reason: string } | null;
status: string;
}
export const initialState: ReducerState = {
gameState: null,
hand: [],
narration: [],
thinkingSeats: new Set(),
gameOver: null,
status: '',
};
export function gameReducer(state: ReducerState, action: GameAction): ReducerState {
switch (action.type) {
case 'SET_STATE':
return { ...state, gameState: action.payload };
case 'SET_HAND':
return { ...state, hand: action.cards };
case 'ADD_NARRATION': {
const narration = [...state.narration, action.line];
return { ...state, narration: narration.slice(-120) };
}
case 'SET_THINKING': {
const thinkingSeats = new Set(state.thinkingSeats);
if (action.active) {
thinkingSeats.add(action.seat);
} else {
thinkingSeats.delete(action.seat);
}
return { ...state, thinkingSeats };
}
case 'GAME_OVER':
return { ...state, gameOver: { winner: action.winner, reason: action.reason } };
case 'SET_STATUS':
return { ...state, status: action.status };
default:
return state;
}
}
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@@ -1 +0,0 @@
import '@testing-library/jest-dom';
-55
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@@ -1,55 +0,0 @@
export type Phase =
| 'untap' | 'upkeep' | 'draw' | 'main1'
| 'begin_combat' | 'declare_attackers' | 'declare_blockers' | 'combat_damage'
| 'main2' | 'end_step' | 'cleanup';
export interface Card {
name: string;
type: string;
tapped: boolean;
is_commander: boolean;
oracle: string;
cmc: number;
}
export interface Player {
seat: number;
name: string;
life: number;
eliminated: boolean;
hand: Card[];
battlefield: Card[];
graveyard: Card[];
exile: Card[];
command_zone: Card[];
hand_count: number;
}
export interface GameState {
game_id: string;
turn: number;
current_phase: Phase;
active_seat: number;
players: Player[];
stack: Card[];
game_over: boolean;
winner: Player | null;
}
export type WsIncoming =
| { type: 'state'; payload: GameState }
| { type: 'event'; text: string; seat?: number }
| { type: 'phase'; phase: Phase; active_seat: number }
| { type: 'thinking'; seat: number; active: boolean }
| { type: 'elimination'; seat: number }
| { type: 'game_over'; winner: number; reason: string }
| { type: 'hand'; cards: Card[] }
| { type: 'pong' }
| { type: 'error'; message: string };
export interface NarrationLine {
text: string;
seat?: number;
isSystem: boolean;
timestamp: number;
}
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export interface SimDeck {
id: number;
name: string;
commander_name: string;
color_identity: string[];
}
export interface SimPlayerResult {
seat: number;
deckName: string;
wins: number;
winRate: number;
avgTurns: number;
avgDamageDealt: number;
avgSpellsCast: number;
avgCreaturesPlayed: number;
avgRemovalUsed: number;
avgRampPlayed: number;
avgCardsDrawn: number;
avgMaxBoardSize: number;
}
export interface SimResult {
playerCount: number;
totalGames: number;
players: SimPlayerResult[];
elapsedSeconds: number;
}
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@@ -1,82 +0,0 @@
/** @type {import('tailwindcss').Config} */
export default {
content: [
"./index.html",
"./src/**/*.{js,ts,jsx,tsx}",
],
theme: {
extend: {
colors: {
bg: {
base: '#12141e',
zone: '#1c2034',
panel: '#161820',
bar: '#1a1e30',
phase: '#1e2338',
hand: '#1a2030',
},
accent: {
blue: '#3c82dc',
think: '#64b4ff',
purple: '#7060c0',
},
life: {
high: '#50c87a',
med: '#dcb432',
low: '#dc3c3c',
},
seat: {
0: '#4696ff',
1: '#ff6450',
2: '#50d278',
3: '#dcaa32',
},
card: {
bg: '#2a3050',
hand: '#2a3868',
selected: '#3a4878',
},
border: {
zone: '#3a4060',
sep: '#2a2e48',
btn: '#4060a0',
overlay: '#4060c0',
'btn-hover': '#6080d0',
'btn-primary': '#4080d0',
'hand-card': '#5060a0',
chip: '#444444',
},
phase: {
tab: '#252a42',
text: '#888888',
},
btn: {
primary: '#2a5090',
},
text: {
body: '#e8e8e8',
muted: '#888888',
system: '#555566',
'zone-label': '#666666',
status: '#777788',
sub: '#aaaaaa',
btn: '#cccccc',
},
highlight: {
gold: '#ffdc32',
commander: '#ffd200',
},
},
keyframes: {
pulse: {
'0%, 100%': { opacity: '1' },
'50%': { opacity: '0.7' },
},
},
animation: {
pulse: 'pulse 1s ease-in-out infinite',
},
},
},
plugins: [],
}
-28
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@@ -1,28 +0,0 @@
{
"compilerOptions": {
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.app.tsbuildinfo",
"target": "ES2023",
"useDefineForClassFields": true,
"lib": ["ES2023", "DOM", "DOM.Iterable"],
"module": "ESNext",
"types": ["vite/client"],
"skipLibCheck": true,
/* Bundler mode */
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"verbatimModuleSyntax": true,
"moduleDetection": "force",
"noEmit": true,
"jsx": "react-jsx",
/* Linting */
"strict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"erasableSyntaxOnly": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedSideEffectImports": true
},
"include": ["src"]
}
-7
View File
@@ -1,7 +0,0 @@
{
"files": [],
"references": [
{ "path": "./tsconfig.app.json" },
{ "path": "./tsconfig.node.json" }
]
}
-26
View File
@@ -1,26 +0,0 @@
{
"compilerOptions": {
"tsBuildInfoFile": "./node_modules/.tmp/tsconfig.node.tsbuildinfo",
"target": "ES2023",
"lib": ["ES2023"],
"module": "ESNext",
"types": ["node"],
"skipLibCheck": true,
/* Bundler mode */
"moduleResolution": "bundler",
"allowImportingTsExtensions": true,
"verbatimModuleSyntax": true,
"moduleDetection": "force",
"noEmit": true,
/* Linting */
"strict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"erasableSyntaxOnly": true,
"noFallthroughCasesInSwitch": true,
"noUncheckedSideEffectImports": true
},
"include": ["vite.config.ts"]
}
-21
View File
@@ -1,21 +0,0 @@
import { defineConfig } from 'vite'
import react from '@vitejs/plugin-react'
// https://vite.dev/config/
export default defineConfig({
plugins: [react()],
server: {
// Dev-only proxy — in production FastAPI serves the built assets
// and handles /api and /ws routes directly.
proxy: {
'/api': {
target: 'http://localhost:8000',
changeOrigin: true,
},
'/ws': {
target: 'ws://localhost:8000',
ws: true,
},
},
},
})
-12
View File
@@ -1,12 +0,0 @@
/// <reference types="vitest" />
import { defineConfig } from 'vitest/config'
import react from '@vitejs/plugin-react'
export default defineConfig({
plugins: [react()],
test: {
globals: true,
environment: 'jsdom',
setupFiles: './src/test/setup.ts',
},
})
+1 -1
View File
@@ -45,7 +45,7 @@ from routes.ml import router as ml_router
log = logging.getLogger("commander_ai_lab.api")
# ── CORS origins (env-configurable) ────────────────────────────
_DEFAULT_ORIGINS = "http://localhost:5173,http://localhost:8080"
_DEFAULT_ORIGINS = "http://localhost:5173,http://localhost:8080,http://192.168.0.240:5173,http://192.168.0.240:8080"
_allowed = os.environ.get("ALLOWED_ORIGINS", _DEFAULT_ORIGINS)
allowed_origins = [o.strip() for o in _allowed.split(",") if o.strip()]
+5 -5
View File
@@ -240,12 +240,12 @@ def print_label_distribution(labels: np.ndarray) -> Dict[str, int]:
dist[action.value] = count
total = len(labels)
log.info(f"\n{'Action':<25} {'Count':>8} {'Pct':>8}")
log.info("─" * 43)
logger.info(f"\n{'Action':<25} {'Count':>8} {'Pct':>8}")
logger.info("─" * 43)
for action_name, count in sorted(dist.items(), key=lambda x: -x[1]):
pct = (count / total * 100) if total > 0 else 0
log.info(f" {action_name:<23} {count:>8} {pct:>7.1f}%")
log.info(f"{'─' * 43}")
log.info(f" {'TOTAL':<23} {total:>8}")
logger.info(f" {action_name:<23} {count:>8} {pct:>7.1f}%")
logger.info(f"{'─' * 43}")
logger.info(f" {'TOTAL':<23} {total:>8}")
return dist
+46
View File
@@ -256,3 +256,49 @@ class TrainingConfig:
log_every: int = 100 # Log every N batches
TRAINING_CONFIG = TrainingConfig()
# ══════════════════════════════════════════════════════════
# Distillation Loop Defaults (Phase 4)
# ══════════════════════════════════════════════════════════
@dataclass
class DistillationDefaults:
"""Default hyperparameters for the closed-loop distillation pipeline.
These are consumed by ml.training.distillation_loop.DistillationConfig
when no explicit override is provided.
"""
max_iterations: int = 10
convergence_window: int = 3
convergence_threshold: float = 0.01
# PPO self-play per generation
ppo_iterations: int = 50
ppo_episodes_per_iter: int = 64
ppo_lr: float = 3e-4
ppo_clip_epsilon: float = 0.2
ppo_entropy_coeff: float = 0.01
ppo_eval_episodes: int = 100
# Dataset mixing
forge_weight: float = 1.0
ppo_weight: float = 0.5
min_reward_threshold: float = 0.0
# Quality gate thresholds
min_forge_accuracy: float = 0.35
max_accuracy_drop: float = 0.03
min_ppo_win_rate: float = 0.30
# Retry behaviour on gate failure
max_retries_per_generation: int = 2
retry_lr_factor: float = 0.5
retry_entropy_boost: float = 0.005
# Output paths
results_dir: str = "data/results"
history_dir: str = "data/results/distillation-history"
DISTILLATION_DEFAULTS = DistillationDefaults()
+292 -53
View File
@@ -1,9 +1,17 @@
"""
Commander AI Lab — Training Dataset Builder
════════════════════════════════════════════
Reads ML decision JSONL files, encodes states, labels actions,
and produces a training-ready dataset saved as NPZ.
Phase 2: Source Awareness (Issue #66)
- Scans both Forge sim files (ml-decisions-sim-*.jsonl) and
PPO self-play files (ml-decisions-ppo-*.jsonl)
- Configurable source_weights for sampling ratios
- min_reward_threshold filter for PPO data quality
- Each sample tagged with source for downstream analysis
Usage:
python -m ml.data.dataset_builder --results-dir results/ --output ml/models/dataset.npz
@@ -13,6 +21,7 @@ Output NPZ structure:
game_ids: object (N,) — game ID for each sample
outcomes: object (N,) — game outcome per sample
playstyles: object (N,) — deck archetype per sample
sources: object (N,) — data source ("forge" or "ppo")
"""
import argparse
@@ -20,8 +29,9 @@ import json
import logging
import os
import sys
from dataclasses import dataclass, field
from pathlib import Path
from typing import Dict, List, Tuple
from typing import Dict, List, Optional, Tuple
import numpy as np
@@ -40,22 +50,167 @@ logging.basicConfig(level=logging.INFO, format="[%(name)s] %(message)s")
logger = logging.getLogger("ml.dataset")
# ---------------------------------------------------------------------------
# Configuration (Phase 2)
# ---------------------------------------------------------------------------
@dataclass
class DatasetConfig:
"""Configuration for dataset building with source awareness."""
results_dir: str = "results"
embeddings_dir: Optional[str] = None
max_samples: Optional[int] = None
# Source weights control sampling ratios between Forge and PPO data.
# e.g. {"forge": 1.0, "ppo": 0.5} means keep all Forge data but
# randomly sample 50% of PPO data to avoid overwhelming the baseline.
source_weights: Dict[str, float] = field(
default_factory=lambda: {"forge": 1.0, "ppo": 0.5}
)
# Minimum reward threshold for PPO data — only include decisions
# from games where the episode return exceeds this value.
# Set to None to disable filtering.
min_reward_threshold: Optional[float] = 0.0
# ---------------------------------------------------------------------------
# Source-aware file discovery (Phase 2 — Task 1)
# ---------------------------------------------------------------------------
def _discover_jsonl_files(results_dir: str) -> Dict[str, List[Path]]:
"""
Scan results directory for both Forge sim and PPO decision files.
Returns:
Dict mapping source name to list of JSONL file paths.
Keys: "forge" for ml-decisions-sim-*.jsonl
"ppo" for ml-decisions-ppo-*.jsonl
"""
results_path = Path(results_dir)
sources = {}
# Forge batch sim files
forge_files = sorted(results_path.glob("ml-decisions-sim-*.jsonl"))
if forge_files:
sources["forge"] = forge_files
# PPO self-play files (from Phase 1 DecisionExporter)
ppo_files = sorted(results_path.glob("ml-decisions-ppo-*.jsonl"))
if ppo_files:
sources["ppo"] = ppo_files
# Also pick up legacy files that don't have sim/ppo prefix
legacy_files = sorted(
f for f in results_path.glob("ml-decisions-*.jsonl")
if f not in set(forge_files + ppo_files)
)
if legacy_files:
sources.setdefault("forge", []).extend(legacy_files)
return sources
# ---------------------------------------------------------------------------
# PPO reward filter (Phase 2 — Task 3)
# ---------------------------------------------------------------------------
def _passes_reward_filter(
decision: dict,
source: str,
min_reward_threshold: Optional[float],
) -> bool:
"""
Filter PPO decisions by reward threshold.
Forge data always passes. PPO data must meet the threshold.
"""
if source != "ppo":
return True
if min_reward_threshold is None:
return True
episode_return = decision.get("episode_return", 0.0)
return episode_return >= min_reward_threshold
# ---------------------------------------------------------------------------
# Source-aware sampling (Phase 2 — Task 2)
# ---------------------------------------------------------------------------
def _apply_source_weights(
samples_by_source: Dict[str, List[dict]],
source_weights: Dict[str, float],
rng: np.random.Generator,
) -> List[dict]:
"""
Apply source weights to control the mixing ratio.
A weight of 1.0 keeps all samples from that source.
A weight of 0.5 randomly keeps ~50% of samples.
A weight > 1.0 oversamples (with replacement).
"""
combined = []
for source, samples in samples_by_source.items():
weight = source_weights.get(source, 1.0)
if weight <= 0:
logger.info(" Skipping %d %s samples (weight=0)", len(samples), source)
continue
if weight >= 1.0 and weight == 1.0:
combined.extend(samples)
elif weight < 1.0:
# Subsample
n_keep = max(1, int(len(samples) * weight))
indices = rng.choice(len(samples), size=n_keep, replace=False)
combined.extend(samples[i] for i in indices)
logger.info(
" Subsampled %s: %d → %d (weight=%.2f)",
source, len(samples), n_keep, weight,
)
else:
# Oversample (weight > 1.0)
n_target = int(len(samples) * weight)
indices = rng.choice(len(samples), size=n_target, replace=True)
combined.extend(samples[i] for i in indices)
logger.info(
" Oversampled %s: %d → %d (weight=%.2f)",
source, len(samples), n_target, weight,
)
return combined
# ---------------------------------------------------------------------------
# Main dataset builder (updated for Phase 2)
# ---------------------------------------------------------------------------
def build_dataset(
results_dir: str,
embeddings_dir: str = None,
max_samples: int = None,
source_weights: Dict[str, float] = None,
min_reward_threshold: float = 0.0,
) -> Dict[str, np.ndarray]:
"""
Build complete training dataset from all ML decision files.
Phase 2 additions:
- Scans both Forge and PPO JSONL files
- Applies source_weights for configurable mixing
- Filters PPO data by min_reward_threshold
- Tags each sample with its source
Args:
results_dir: Path to results/ directory containing ml-decisions-*.jsonl
results_dir: Path to results/ directory containing JSONL files
embeddings_dir: Path to embeddings/ directory (default: auto-detect)
max_samples: Cap total samples (None = unlimited)
source_weights: Dict of source → sampling weight (default: forge=1.0, ppo=0.5)
min_reward_threshold: Min episode_return for PPO data (default: 0.0)
Returns:
Dict with keys: states, labels, game_ids, outcomes, playstyles
Dict with keys: states, labels, game_ids, outcomes, playstyles, sources
"""
if source_weights is None:
source_weights = {"forge": 1.0, "ppo": 0.5}
# Load card embeddings
card_index = CardEmbeddingIndex(embeddings_dir)
if not card_index.load():
@@ -70,10 +225,9 @@ def build_dataset(
encoder = StateEncoder(card_index)
# Find all JSONL files
results_path = Path(results_dir)
jsonl_files = sorted(results_path.glob("ml-decisions-*.jsonl"))
if not jsonl_files:
# --- Phase 2 Task 1: Discover files from both sources ---
source_files = _discover_jsonl_files(results_dir)
if not source_files:
logger.error("No ML decision files found in %s", results_dir)
logger.error("Run batch simulations with --ml-log or enable ML logging in the UI first.")
raise RuntimeError(
@@ -81,60 +235,114 @@ def build_dataset(
"Run batch simulations with ML logging enabled first."
)
logger.info("Found %d ML decision files", len(jsonl_files))
total_files = sum(len(files) for files in source_files.values())
logger.info(
"Found %d ML decision files across %d sources: %s",
total_files,
len(source_files),
{src: len(files) for src, files in source_files.items()},
)
# --- Read and filter all decisions, grouped by source ---
rng = np.random.default_rng(42)
samples_by_source: Dict[str, List[dict]] = {}
total_skipped = 0
total_filtered = 0
for source, jsonl_files in source_files.items():
source_samples = []
for jsonl_file in jsonl_files:
logger.info("Processing %s [%s] ...", jsonl_file.name, source)
file_count = 0
with open(jsonl_file, "r") as f:
for line_num, line in enumerate(f):
line = line.strip()
if not line:
continue
try:
decision = json.loads(line)
# --- Phase 2 Task 3: PPO reward filter ---
if not _passes_reward_filter(
decision, source, min_reward_threshold
):
total_filtered += 1
continue
# --- Phase 2 Task 4: Tag with source ---
decision["_source"] = source
source_samples.append(decision)
file_count += 1
except Exception as e:
total_skipped += 1
if total_skipped <= 10:
logger.warning(
"Skipping %s line %d: %s", jsonl_file.name, line_num, e
)
logger.info(" → %d samples from %s", file_count, jsonl_file.name)
if source_samples:
samples_by_source[source] = source_samples
if not samples_by_source:
logger.error("No valid samples found.")
return {}
# Log per-source counts before weighting
for src, samples in samples_by_source.items():
logger.info("Source '%s': %d raw samples", src, len(samples))
if total_filtered > 0:
logger.info("PPO reward filter removed %d samples (threshold=%.2f)",
total_filtered, min_reward_threshold or 0.0)
# --- Phase 2 Task 2: Apply source weights ---
combined_decisions = _apply_source_weights(
samples_by_source, source_weights, rng
)
# Apply max_samples cap after weighting
if max_samples and len(combined_decisions) > max_samples:
rng.shuffle(combined_decisions)
combined_decisions = combined_decisions[:max_samples]
logger.info("Capped to %d samples", max_samples)
# --- Encode all decisions ---
all_states = []
all_labels = []
all_game_ids = []
all_outcomes = []
all_playstyles = []
total_skipped = 0
all_sources = []
encode_errors = 0
for jsonl_file in jsonl_files:
logger.info("Processing %s ...", jsonl_file.name)
file_count = 0
for decision in combined_decisions:
try:
playstyle = decision.get("archetype", "midrange")
state_vec = encoder.encode(decision, playstyle)
action_idx = label_action(decision)
game_id = decision.get("game_id", "unknown")
outcome = decision.get("game_outcome", "unknown")
source = decision.get("_source", "forge")
with open(jsonl_file, "r") as f:
for line_num, line in enumerate(f):
if max_samples and len(all_states) >= max_samples:
break
all_states.append(state_vec)
all_labels.append(action_idx)
all_game_ids.append(game_id)
all_outcomes.append(outcome)
all_playstyles.append(playstyle)
all_sources.append(source)
line = line.strip()
if not line:
continue
try:
decision = json.loads(line)
# Encode state
playstyle = decision.get("archetype", "midrange")
state_vec = encoder.encode(decision, playstyle)
# Label action
action_idx = label_action(decision)
# Metadata
game_id = decision.get("game_id", f"unknown-{line_num}")
outcome = decision.get("game_outcome", "unknown")
all_states.append(state_vec)
all_labels.append(action_idx)
all_game_ids.append(game_id)
all_outcomes.append(outcome)
all_playstyles.append(playstyle)
file_count += 1
except Exception as e:
total_skipped += 1
if total_skipped <= 10:
logger.warning(
"Skipping %s line %d: %s", jsonl_file.name, line_num, e
)
logger.info(" → %d samples from %s", file_count, jsonl_file.name)
except Exception as e:
encode_errors += 1
if encode_errors <= 5:
logger.warning("Encode error: %s", e)
if not all_states:
logger.error("No valid samples found.")
logger.error("No valid samples after encoding.")
return {}
# Convert to arrays
@@ -143,10 +351,11 @@ def build_dataset(
game_ids = np.array(all_game_ids, dtype=object)
outcomes = np.array(all_outcomes, dtype=object)
playstyles = np.array(all_playstyles, dtype=object)
sources = np.array(all_sources, dtype=object)
logger.info(
"Dataset built: %d samples, %d features, %d actions, %d skipped",
len(states), states.shape[1], NUM_ACTIONS, total_skipped,
"Dataset built: %d samples, %d features, %d actions, %d skipped, %d encode errors",
len(states), states.shape[1], NUM_ACTIONS, total_skipped, encode_errors,
)
# Print label distribution
@@ -166,12 +375,21 @@ def build_dataset(
for s, c in sorted(zip(unique_styles, style_counts), key=lambda x: -x[1]):
logger.info(f" {str(s):<23} {c:>8}")
# --- Phase 2 Task 4: Print source distribution ---
unique_sources, source_counts = np.unique(sources, return_counts=True)
logger.info(f"\n{'Source':<25} {'Count':>8} {'%':>7}")
logger.info("─" * 42)
for s, c in sorted(zip(unique_sources, source_counts), key=lambda x: -x[1]):
pct = 100.0 * c / len(sources)
logger.info(f" {str(s):<23} {c:>8} {pct:>6.1f}%")
return {
"states": states,
"labels": labels,
"game_ids": game_ids,
"outcomes": outcomes,
"playstyles": playstyles,
"sources": sources,
}
@@ -240,7 +458,6 @@ def split_dataset(
len(train["states"]), len(val["states"]), len(test["states"]),
split_by_game,
)
return train, val, test
@@ -279,14 +496,36 @@ def main():
"--no-split", action="store_true",
help="Don't split into train/val/test (save single file)",
)
# Phase 2 CLI arguments
parser.add_argument(
"--forge-weight", type=float, default=1.0,
help="Sampling weight for Forge sim data (default: 1.0)",
)
parser.add_argument(
"--ppo-weight", type=float, default=0.5,
help="Sampling weight for PPO self-play data (default: 0.5)",
)
parser.add_argument(
"--min-reward", type=float, default=0.0,
help="Minimum episode_return for PPO data (default: 0.0)",
)
args = parser.parse_args()
source_weights = {
"forge": args.forge_weight,
"ppo": args.ppo_weight,
}
# Build dataset
dataset = build_dataset(
results_dir=args.results_dir,
embeddings_dir=args.embeddings_dir,
max_samples=args.max_samples,
source_weights=source_weights,
min_reward_threshold=args.min_reward,
)
if not dataset:
logger.info("\nNo data to save. Run simulations with --ml-log first.")
sys.exit(1)
+587
View File
@@ -0,0 +1,587 @@
"""
Commander AI Lab — Quality Gate & Validation
═════════════════════════════════════════════
Phase 3 (Issue #67): Prevents bad PPO data from degrading the
supervised model by enforcing quality gates at multiple levels:
1. Forge Validation Holdout — fixed eval set from Forge-only data
2. Accuracy Gate — reject PPO batch if model accuracy drops on Forge eval
3. Win Rate Gate — only export PPO decisions above a win rate threshold
4. Data Quality Metrics — entropy, reward distribution logging
Usage:
from ml.data.quality_gate import QualityGate, QualityGateConfig
gate = QualityGate(QualityGateConfig(
min_forge_accuracy=0.40,
min_ppo_win_rate=0.30,
))
# Check if PPO batch should be accepted
verdict = gate.evaluate_ppo_batch(
forge_eval_accuracy=0.42,
ppo_win_rate=0.35,
ppo_decisions=decisions_list,
baseline_accuracy=0.41,
)
if verdict.accepted:
# merge PPO data into training set
...
Ref: docs/CLOSED-LOOP-DISTILLATION.md — Phase 3
Issue: #67
"""
import json
import logging
import os
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional, Tuple
import numpy as np
logger = logging.getLogger("ml.quality_gate")
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
@dataclass
class QualityGateConfig:
"""Configuration for the quality gate system."""
# --- Forge validation holdout (Task 1) ---
forge_holdout_ratio: float = 0.12 # 12% of Forge data held out
forge_holdout_seed: int = 99 # Fixed seed for reproducibility
# --- Accuracy gate (Task 2) ---
# If model accuracy on Forge eval drops below this absolute floor,
# the PPO batch is rejected regardless.
min_forge_accuracy: float = 0.35
# If model accuracy drops by more than this relative amount compared
# to the baseline (pre-PPO model), reject the batch.
max_accuracy_drop: float = 0.03 # e.g., 41% → 38% = 3% drop → reject
# --- Win rate gate (Task 3) ---
# PPO agent must exceed this win rate before its decisions are exported.
# In a 4-player pod, random baseline is 25%.
min_ppo_win_rate: float = 0.30
# --- Quality metrics (Task 4) ---
# Directory to write quality reports
reports_dir: str = "data/results/quality-reports"
# ---------------------------------------------------------------------------
# Verdict dataclass
# ---------------------------------------------------------------------------
@dataclass
class GateVerdict:
"""Result of a quality gate evaluation."""
accepted: bool
reason: str
metrics: Dict = field(default_factory=dict)
timestamp: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
def to_dict(self) -> dict:
return {
"accepted": self.accepted,
"reason": self.reason,
"metrics": self.metrics,
"timestamp": self.timestamp,
}
# ---------------------------------------------------------------------------
# Forge Validation Holdout (Task 1)
# ---------------------------------------------------------------------------
def create_forge_holdout(
states: np.ndarray,
labels: np.ndarray,
sources: np.ndarray,
game_ids: np.ndarray,
holdout_ratio: float = 0.12,
seed: int = 99,
) -> Tuple[Dict[str, np.ndarray], Dict[str, np.ndarray]]:
"""
Split Forge-only data into training and holdout validation sets.
The holdout set is a fixed eval set used to detect accuracy regression
when PPO data is mixed in. Split is done by game_id to prevent leakage.
Args:
states, labels, sources, game_ids: Dataset arrays
holdout_ratio: Fraction of Forge games to hold out
seed: Fixed random seed for reproducibility
Returns:
(train_data, holdout_data) — each a dict with states, labels, sources, game_ids
"""
# Identify Forge-only samples
forge_mask = np.array([s == "forge" for s in sources])
ppo_mask = ~forge_mask
forge_game_ids = game_ids[forge_mask]
unique_forge_games = np.unique(forge_game_ids)
# Deterministic split by game_id
rng = np.random.default_rng(seed)
rng.shuffle(unique_forge_games)
n_holdout = max(1, int(len(unique_forge_games) * holdout_ratio))
holdout_games = set(unique_forge_games[:n_holdout])
train_games = set(unique_forge_games[n_holdout:])
# Build masks
forge_holdout_mask = np.array([
(s == "forge" and gid in holdout_games)
for s, gid in zip(sources, game_ids)
])
forge_train_mask = np.array([
(s == "forge" and gid in train_games)
for s, gid in zip(sources, game_ids)
])
# Training set = Forge train + all PPO data
train_mask = forge_train_mask | ppo_mask
def _subset(mask):
return {
"states": states[mask],
"labels": labels[mask],
"sources": sources[mask],
"game_ids": game_ids[mask],
}
holdout = _subset(forge_holdout_mask)
train = _subset(train_mask)
logger.info(
"Forge holdout: %d samples (%d games) held out, %d train samples remaining",
forge_holdout_mask.sum(), n_holdout, train_mask.sum(),
)
return train, holdout
# ---------------------------------------------------------------------------
# Accuracy Gate (Task 2)
# ---------------------------------------------------------------------------
def check_accuracy_gate(
current_accuracy: float,
baseline_accuracy: float,
config: QualityGateConfig,
) -> GateVerdict:
"""
Check if the current model accuracy on the Forge holdout set
is acceptable after training with PPO data mixed in.
Args:
current_accuracy: Accuracy on Forge holdout after training with PPO data
baseline_accuracy: Accuracy on Forge holdout from previous model (no PPO)
config: Quality gate configuration
Returns:
GateVerdict — accepted=True if accuracy is acceptable
"""
metrics = {
"current_accuracy": round(current_accuracy, 4),
"baseline_accuracy": round(baseline_accuracy, 4),
"accuracy_drop": round(baseline_accuracy - current_accuracy, 4),
"min_forge_accuracy": config.min_forge_accuracy,
"max_accuracy_drop": config.max_accuracy_drop,
}
# Check absolute floor
if current_accuracy < config.min_forge_accuracy:
return GateVerdict(
accepted=False,
reason=(
f"Forge eval accuracy ({current_accuracy:.1%}) below absolute "
f"minimum ({config.min_forge_accuracy:.1%}). PPO batch rejected."
),
metrics=metrics,
)
# Check relative drop
drop = baseline_accuracy - current_accuracy
if drop > config.max_accuracy_drop:
return GateVerdict(
accepted=False,
reason=(
f"Forge eval accuracy dropped {drop:.1%} "
f"(from {baseline_accuracy:.1%} to {current_accuracy:.1%}), "
f"exceeding max allowed drop of {config.max_accuracy_drop:.1%}. "
f"PPO batch rejected."
),
metrics=metrics,
)
return GateVerdict(
accepted=True,
reason=(
f"Forge eval accuracy {current_accuracy:.1%} is acceptable "
f"(baseline={baseline_accuracy:.1%}, drop={drop:.1%}). "
f"PPO batch accepted."
),
metrics=metrics,
)
# ---------------------------------------------------------------------------
# Win Rate Gate (Task 3)
# ---------------------------------------------------------------------------
def check_win_rate_gate(
ppo_win_rate: float,
config: QualityGateConfig,
total_episodes: int = 0,
min_episodes: int = 20,
) -> GateVerdict:
"""
Check if the PPO agent's win rate exceeds the minimum threshold
before allowing its decisions to be exported.
Args:
ppo_win_rate: Win rate of PPO agent (0.0 to 1.0)
config: Quality gate configuration
total_episodes: Number of episodes played
min_episodes: Minimum episodes required for statistical significance
Returns:
GateVerdict — accepted=True if win rate is sufficient
"""
metrics = {
"ppo_win_rate": round(ppo_win_rate, 4),
"min_ppo_win_rate": config.min_ppo_win_rate,
"total_episodes": total_episodes,
"min_episodes": min_episodes,
}
# Check minimum episode count
if total_episodes < min_episodes:
return GateVerdict(
accepted=False,
reason=(
f"Insufficient episodes ({total_episodes}/{min_episodes}). "
f"Need at least {min_episodes} episodes for reliable win rate."
),
metrics=metrics,
)
# Check win rate threshold
if ppo_win_rate < config.min_ppo_win_rate:
return GateVerdict(
accepted=False,
reason=(
f"PPO win rate ({ppo_win_rate:.1%}) below minimum "
f"threshold ({config.min_ppo_win_rate:.1%}). "
f"Agent not strong enough — decisions not exported."
),
metrics=metrics,
)
return GateVerdict(
accepted=True,
reason=(
f"PPO win rate ({ppo_win_rate:.1%}) exceeds minimum "
f"({config.min_ppo_win_rate:.1%}) over {total_episodes} episodes. "
f"Decisions approved for export."
),
metrics=metrics,
)
# ---------------------------------------------------------------------------
# Data Quality Metrics (Task 4)
# ---------------------------------------------------------------------------
def compute_action_entropy(action_indices: np.ndarray, num_actions: int = 8) -> float:
"""
Compute Shannon entropy of the action distribution.
High entropy = diverse actions (good).
Low entropy = collapsed to few actions (bad — possible mode collapse).
Max entropy for 8 actions = log2(8) = 3.0 bits.
"""
counts = np.bincount(action_indices, minlength=num_actions).astype(np.float64)
probs = counts / max(counts.sum(), 1)
# Filter zero probabilities for log
probs = probs[probs > 0]
entropy = -np.sum(probs * np.log2(probs))
return float(entropy)
def compute_reward_stats(rewards: np.ndarray) -> Dict[str, float]:
"""Compute summary statistics for reward/episode_return distribution."""
if len(rewards) == 0:
return {"mean": 0.0, "std": 0.0, "min": 0.0, "max": 0.0,
"median": 0.0, "p25": 0.0, "p75": 0.0}
return {
"mean": float(np.mean(rewards)),
"std": float(np.std(rewards)),
"min": float(np.min(rewards)),
"max": float(np.max(rewards)),
"median": float(np.median(rewards)),
"p25": float(np.percentile(rewards, 25)),
"p75": float(np.percentile(rewards, 75)),
}
def compute_quality_metrics(
decisions: List[dict],
num_actions: int = 8,
) -> Dict:
"""
Compute comprehensive data quality metrics for a batch of decisions.
Metrics:
- action_entropy: Shannon entropy of action distribution
- action_distribution: count per action
- reward_stats: mean, std, min, max, median, p25, p75
- source_breakdown: count per source
- total_decisions: number of decisions
- unique_games: number of unique game IDs
Args:
decisions: List of decision dicts (from JSONL records)
num_actions: Total number of possible actions
Returns:
Dict of quality metrics
"""
if not decisions:
return {"total_decisions": 0, "error": "empty batch"}
# Extract action indices
action_indices = np.array([
d.get("action", {}).get("action_idx", d.get("action_idx", 0))
for d in decisions
])
# Extract rewards/episode returns
rewards = np.array([
d.get("episode_return", d.get("reward", 0.0))
for d in decisions
])
# Action distribution
action_counts = np.bincount(action_indices, minlength=num_actions)
action_distribution = {
str(i): int(c) for i, c in enumerate(action_counts)
}
# Source breakdown
sources = [d.get("source", d.get("_source", "unknown")) for d in decisions]
source_counts = {}
for s in sources:
source_counts[s] = source_counts.get(s, 0) + 1
# Unique games
game_ids = set(d.get("game_id", "?") for d in decisions)
# Entropy
entropy = compute_action_entropy(action_indices, num_actions)
max_entropy = np.log2(num_actions)
return {
"total_decisions": len(decisions),
"unique_games": len(game_ids),
"action_entropy": round(entropy, 4),
"max_entropy": round(max_entropy, 4),
"entropy_ratio": round(entropy / max(max_entropy, 1e-8), 4),
"action_distribution": action_distribution,
"reward_stats": compute_reward_stats(rewards),
"source_breakdown": source_counts,
}
def log_quality_metrics(metrics: Dict):
"""Pretty-print quality metrics to the logger."""
logger.info("")
logger.info("=" * 55)
logger.info(" Data Quality Report")
logger.info("=" * 55)
logger.info(" Total decisions: %d", metrics.get("total_decisions", 0))
logger.info(" Unique games: %d", metrics.get("unique_games", 0))
logger.info(" Action entropy: %.3f / %.3f (%.0f%%)",
metrics.get("action_entropy", 0),
metrics.get("max_entropy", 0),
metrics.get("entropy_ratio", 0) * 100)
logger.info("")
# Action distribution
dist = metrics.get("action_distribution", {})
if dist:
total = sum(dist.values())
logger.info(" %-20s %8s %7s", "Action", "Count", "%")
logger.info(" " + "-" * 37)
for action_idx, count in sorted(dist.items(), key=lambda x: -x[1]):
pct = 100.0 * count / max(total, 1)
logger.info(" %-20s %8d %6.1f%%", f"action_{action_idx}", count, pct)
# Reward stats
rstats = metrics.get("reward_stats", {})
if rstats:
logger.info("")
logger.info(" Reward distribution:")
logger.info(" mean=%.3f std=%.3f min=%.3f max=%.3f",
rstats.get("mean", 0), rstats.get("std", 0),
rstats.get("min", 0), rstats.get("max", 0))
logger.info(" p25=%.3f median=%.3f p75=%.3f",
rstats.get("p25", 0), rstats.get("median", 0),
rstats.get("p75", 0))
# Source breakdown
sources = metrics.get("source_breakdown", {})
if sources:
logger.info("")
logger.info(" Source breakdown:")
for src, cnt in sorted(sources.items(), key=lambda x: -x[1]):
logger.info(" %-12s %d", src, cnt)
logger.info("=" * 55)
# ---------------------------------------------------------------------------
# Orchestrator — QualityGate class
# ---------------------------------------------------------------------------
class QualityGate:
"""
Orchestrates all quality checks for the closed-loop distillation pipeline.
Usage:
gate = QualityGate(config)
# Before exporting PPO decisions:
win_verdict = gate.check_win_rate(ppo_win_rate=0.35, total_episodes=100)
# After training with mixed data:
acc_verdict = gate.check_accuracy(
current_accuracy=0.42,
baseline_accuracy=0.41,
)
# Log quality metrics for a batch:
gate.report_batch_quality(decisions)
"""
def __init__(self, config: QualityGateConfig = None):
self.config = config or QualityGateConfig()
self.verdicts: List[GateVerdict] = []
def check_win_rate(
self,
ppo_win_rate: float,
total_episodes: int = 0,
min_episodes: int = 20,
) -> GateVerdict:
"""Check if PPO agent meets win rate threshold for export."""
verdict = check_win_rate_gate(
ppo_win_rate, self.config, total_episodes, min_episodes
)
self.verdicts.append(verdict)
if verdict.accepted:
logger.info("WIN RATE GATE: PASS — %s", verdict.reason)
else:
logger.warning("WIN RATE GATE: FAIL — %s", verdict.reason)
return verdict
def check_accuracy(
self,
current_accuracy: float,
baseline_accuracy: float,
) -> GateVerdict:
"""Check if model accuracy on Forge holdout is acceptable."""
verdict = check_accuracy_gate(
current_accuracy, baseline_accuracy, self.config
)
self.verdicts.append(verdict)
if verdict.accepted:
logger.info("ACCURACY GATE: PASS — %s", verdict.reason)
else:
logger.warning("ACCURACY GATE: FAIL — %s", verdict.reason)
return verdict
def report_batch_quality(self, decisions: List[dict]) -> Dict:
"""Compute and log quality metrics for a decision batch."""
metrics = compute_quality_metrics(decisions)
log_quality_metrics(metrics)
# Save report to disk
os.makedirs(self.config.reports_dir, exist_ok=True)
timestamp = datetime.now(timezone.utc).strftime("%Y%m%d_%H%M%S")
report_path = os.path.join(
self.config.reports_dir, f"quality_{timestamp}.json"
)
with open(report_path, "w") as f:
json.dump(metrics, f, indent=2)
logger.info("Quality report saved: %s", report_path)
return metrics
def evaluate_ppo_batch(
self,
forge_eval_accuracy: float,
ppo_win_rate: float,
ppo_decisions: List[dict],
baseline_accuracy: float,
total_episodes: int = 0,
) -> GateVerdict:
"""
Run all quality gates on a PPO batch. Returns a combined verdict.
This is the main entry point for the distillation pipeline to decide
whether to accept or reject a batch of PPO-generated training data.
"""
# 1. Win rate gate
win_verdict = self.check_win_rate(ppo_win_rate, total_episodes)
if not win_verdict.accepted:
return win_verdict
# 2. Accuracy gate
acc_verdict = self.check_accuracy(forge_eval_accuracy, baseline_accuracy)
if not acc_verdict.accepted:
return acc_verdict
# 3. Log quality metrics (informational, doesn't block)
quality_metrics = self.report_batch_quality(ppo_decisions)
# 4. Check for extreme entropy collapse (soft warning)
entropy_ratio = quality_metrics.get("entropy_ratio", 1.0)
if entropy_ratio < 0.3:
logger.warning(
"LOW ENTROPY WARNING: action entropy ratio %.2f — "
"possible mode collapse in PPO agent",
entropy_ratio,
)
return GateVerdict(
accepted=True,
reason="All quality gates passed.",
metrics={
"win_rate": win_verdict.metrics,
"accuracy": acc_verdict.metrics,
"quality": quality_metrics,
},
)
def save_verdict_history(self, path: str = None):
"""Save all verdict history to a JSON file."""
if path is None:
os.makedirs(self.config.reports_dir, exist_ok=True)
path = os.path.join(self.config.reports_dir, "verdict_history.json")
history = [v.to_dict() for v in self.verdicts]
with open(path, "w") as f:
json.dump(history, f, indent=2)
logger.info("Verdict history saved: %s (%d entries)", path, len(history))
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"""
Commander AI Lab — ELO Tracker & Cross-Generation Tournament
═══════════════════════════════════════════════════════════════
Phase 6 (Issue #70): Quantify improvement across distillation
generations using ELO ratings.
- Runs round-robin tournaments between generation checkpoints
and baselines (heuristic, random)
- Computes ELO ratings using the standard formula
- Persists ELO history to `data/elo_history.json`
- Provides ELO delta for convergence detection
Reuses `run_match`, `LearnedPolicy`, `HeuristicPolicy`,
`RandomPolicy` from `ml/eval/tournament.py`.
Usage:
python -m ml.eval.elo_tracker
python -m ml.eval.elo_tracker --episodes 50 --output data/elo_history.json
"""
import json
import logging
import math
import os
import sys
import time
from dataclasses import dataclass, field
from datetime import datetime, timezone
from itertools import combinations
from pathlib import Path
from typing import Dict, List, Optional, Tuple
project_root = str(Path(__file__).parent.parent.parent)
if project_root not in sys.path:
sys.path.insert(0, project_root)
from ml.eval.tournament import (
run_match, LearnedPolicy, HeuristicPolicy, RandomPolicy,
)
logger = logging.getLogger("ml.eval.elo")
# ═══════════════════════════════════════════════════════════
# ELO Rating Engine
# ═══════════════════════════════════════════════════════════
DEFAULT_K = 32
DEFAULT_START_ELO = 1200.0
class EloTracker:
"""Standard ELO rating tracker."""
def __init__(self, k_factor: float = DEFAULT_K, start_elo: float = DEFAULT_START_ELO):
self.k = k_factor
self.start_elo = start_elo
self.ratings: Dict[str, float] = {}
def ensure_player(self, name: str):
if name not in self.ratings:
self.ratings[name] = self.start_elo
def expected_score(self, rating_a: float, rating_b: float) -> float:
return 1.0 / (1.0 + math.pow(10, (rating_b - rating_a) / 400.0))
def update(self, winner: str, loser: str):
"""Update ratings after a decisive match."""
self.ensure_player(winner)
self.ensure_player(loser)
e_win = self.expected_score(self.ratings[winner], self.ratings[loser])
e_lose = self.expected_score(self.ratings[loser], self.ratings[winner])
self.ratings[winner] += self.k * (1.0 - e_win)
self.ratings[loser] += self.k * (0.0 - e_lose)
def update_draw(self, player_a: str, player_b: str):
"""Update ratings after a draw."""
self.ensure_player(player_a)
self.ensure_player(player_b)
e_a = self.expected_score(self.ratings[player_a], self.ratings[player_b])
e_b = self.expected_score(self.ratings[player_b], self.ratings[player_a])
self.ratings[player_a] += self.k * (0.5 - e_a)
self.ratings[player_b] += self.k * (0.5 - e_b)
def get_ratings(self) -> Dict[str, float]:
"""Return a copy of current ratings, rounded to 1 decimal."""
return {k: round(v, 1) for k, v in self.ratings.items()}
# ═══════════════════════════════════════════════════════════
# ELO Result
# ═══════════════════════════════════════════════════════════
@dataclass
class EloResult:
"""Result of an ELO-rated tournament."""
ratings: Dict[str, float] = field(default_factory=dict)
match_count: int = 0
total_time_s: float = 0.0
policies: List[str] = field(default_factory=list)
rating_progression: List[Dict[str, float]] = field(default_factory=list)
def to_dict(self) -> dict:
return {
"ratings": self.ratings,
"match_count": self.match_count,
"total_time_s": round(self.total_time_s, 1),
"policies": self.policies,
"rating_progression": self.rating_progression,
}
# ═══════════════════════════════════════════════════════════
# ELO History (persistence)
# ═══════════════════════════════════════════════════════════
class EloHistory:
"""Persists ELO ratings across tournament runs."""
def __init__(self, path: str = "data/elo_history.json"):
self.path = path
self.entries: List[dict] = []
self._load()
def _load(self):
if os.path.exists(self.path):
try:
with open(self.path, "r") as f:
data = json.load(f)
self.entries = data.get("entries", [])
except Exception:
self.entries = []
def save(self):
os.makedirs(os.path.dirname(self.path) or ".", exist_ok=True)
with open(self.path, "w") as f:
json.dump({"entries": self.entries}, f, indent=2)
def append(self, generation: int, ratings: Dict[str, float]):
"""Add a new ELO snapshot after a tournament."""
self.entries.append({
"timestamp": datetime.now(timezone.utc).isoformat(),
"generation": generation,
"ratings": {k: round(v, 1) for k, v in ratings.items()},
})
self.save()
def get_elo_delta(self, window: int = 2) -> Optional[float]:
"""
Compute average ELO gain of the latest generation model
over the last `window` entries.
Returns None if insufficient data.
"""
if len(self.entries) < window:
return None
recent = self.entries[-window:]
deltas = []
for i in range(1, len(recent)):
prev_ratings = recent[i - 1]["ratings"]
curr_ratings = recent[i]["ratings"]
# Find the latest generation model name in current entry
gen_models = [k for k in curr_ratings if k.startswith("gen-")]
if not gen_models:
continue
latest_gen = sorted(gen_models)[-1]
curr_elo = curr_ratings.get(latest_gen, DEFAULT_START_ELO)
# Compare to previous entry's latest gen model, or heuristic
prev_gen_models = [k for k in prev_ratings if k.startswith("gen-")]
if prev_gen_models:
prev_latest = sorted(prev_gen_models)[-1]
prev_elo = prev_ratings.get(prev_latest, DEFAULT_START_ELO)
else:
prev_elo = prev_ratings.get("heuristic", DEFAULT_START_ELO)
deltas.append(curr_elo - prev_elo)
if not deltas:
return None
return sum(deltas) / len(deltas)
def to_dict(self) -> dict:
return {"entries": self.entries}
@classmethod
def from_dict(cls, data: dict, path: str = "data/elo_history.json") -> "EloHistory":
h = cls.__new__(cls)
h.path = path
h.entries = data.get("entries", [])
return h
# ═══════════════════════════════════════════════════════════
# Tournament Functions
# ═══════════════════════════════════════════════════════════
def run_elo_tournament(
policies: Dict[str, object],
episodes_per_matchup: int = 50,
playstyle: str = "midrange",
k_factor: float = DEFAULT_K,
) -> EloResult:
"""
Run a round-robin ELO-rated tournament.
Uses `run_match` from tournament.py for match execution.
Args:
policies: Dict mapping name → policy object (with select_action method)
episodes_per_matchup: Games per pair (played both sides)
playstyle: Game playstyle
k_factor: ELO K-factor
Returns:
EloResult with final ratings, match count, and progression
"""
t_start = time.time()
names = list(policies.keys())
tracker = EloTracker(k_factor=k_factor)
# Initialize all players
for name in names:
tracker.ensure_player(name)
progression = [tracker.get_ratings().copy()]
total_matches = 0
logger.info("ELO Tournament: %d policies, %d games/matchup", len(names), episodes_per_matchup)
for name_a, name_b in combinations(names, 2):
policy_a = policies[name_a]
policy_b = policies[name_b]
for ep in range(episodes_per_matchup):
# Game 1: A as seat 0
m1 = run_match(policy_a, name_a, policy_b, name_b, playstyle=playstyle)
total_matches += 1
if m1.winner == name_a:
tracker.update(name_a, name_b)
elif m1.winner == name_b:
tracker.update(name_b, name_a)
else:
tracker.update_draw(name_a, name_b)
# Game 2: B as seat 0
m2 = run_match(policy_b, name_b, policy_a, name_a, playstyle=playstyle)
total_matches += 1
if m2.winner == name_a:
tracker.update(name_a, name_b)
elif m2.winner == name_b:
tracker.update(name_b, name_a)
else:
tracker.update_draw(name_a, name_b)
# Record progression after each matchup
progression.append(tracker.get_ratings().copy())
logger.info(
" %s (%.0f) vs %s (%.0f)",
name_a, tracker.ratings[name_a],
name_b, tracker.ratings[name_b],
)
return EloResult(
ratings=tracker.get_ratings(),
match_count=total_matches,
total_time_s=time.time() - t_start,
policies=names,
rating_progression=progression,
)
def run_generation_tournament(
checkpoint_dir: str = "ml/models/checkpoints",
episodes_per_matchup: int = 50,
playstyle: str = "midrange",
k_factor: float = DEFAULT_K,
) -> EloResult:
"""
Discover generation checkpoints and run an ELO tournament.
Looks for `gen-*/best_policy.pt` under checkpoint_dir.
Also includes heuristic and random baselines.
"""
policies: Dict[str, object] = {
"heuristic": HeuristicPolicy(),
"random": RandomPolicy(),
}
ckpt_path = Path(checkpoint_dir)
if ckpt_path.exists():
for gen_dir in sorted(ckpt_path.glob("gen-*")):
model_path = gen_dir / "best_policy.pt"
if model_path.exists():
name = gen_dir.name # e.g., "gen-001"
policies[name] = LearnedPolicy(str(model_path))
logger.info("Loaded %s: %s", name, model_path)
# Also check standard checkpoints
sup_path = ckpt_path / "best_policy.pt"
if sup_path.exists() and "supervised" not in policies:
policies["supervised"] = LearnedPolicy(str(sup_path))
ppo_path = ckpt_path / "best_ppo.pt"
if ppo_path.exists() and "ppo" not in policies:
policies["ppo"] = LearnedPolicy(str(ppo_path))
if len(policies) < 2:
logger.warning("Need at least 2 policies for ELO tournament")
return EloResult(
ratings={k: DEFAULT_START_ELO for k in policies},
policies=list(policies.keys()),
)
logger.info("Running ELO tournament with %d policies: %s", len(policies), list(policies.keys()))
return run_elo_tournament(
policies=policies,
episodes_per_matchup=episodes_per_matchup,
playstyle=playstyle,
k_factor=k_factor,
)
# ═══════════════════════════════════════════════════════════
# CLI
# ═══════════════════════════════════════════════════════════
def main():
"""CLI entry point for ELO tournament."""
import argparse
parser = argparse.ArgumentParser(
description="Commander AI Lab — ELO Tournament"
)
parser.add_argument(
"--episodes", type=int, default=50,
help="Episodes per matchup (default: 50)",
)
parser.add_argument(
"--checkpoint-dir", default="ml/models/checkpoints",
help="Checkpoint directory (default: ml/models/checkpoints)",
)
parser.add_argument(
"--playstyle", default="midrange",
help="Playstyle (default: midrange)",
)
parser.add_argument(
"--output", default="data/elo_history.json",
help="Output path for ELO history (default: data/elo_history.json)",
)
parser.add_argument(
"--k-factor", type=float, default=32,
help="ELO K-factor (default: 32)",
)
args = parser.parse_args()
logging.basicConfig(level=logging.INFO, format="%(message)s")
result = run_generation_tournament(
checkpoint_dir=args.checkpoint_dir,
episodes_per_matchup=args.episodes,
playstyle=args.playstyle,
k_factor=args.k_factor,
)
# Print results
logger.info("")
logger.info("=" * 50)
logger.info(" ELO RATINGS")
logger.info("=" * 50)
sorted_ratings = sorted(result.ratings.items(), key=lambda x: x[1], reverse=True)
for name, elo in sorted_ratings:
logger.info(" %-20s %7.1f", name, elo)
logger.info("")
logger.info(" %d matches in %.1f s", result.match_count, result.total_time_s)
logger.info("=" * 50)
# Save to history
history = EloHistory(path=args.output)
# Use the latest generation number, or 0 if no gen models
gen_models = [k for k in result.ratings if k.startswith("gen-")]
gen_num = 0
if gen_models:
try:
gen_num = max(int(g.split("-")[1]) for g in gen_models)
except (ValueError, IndexError):
pass
history.append(gen_num, result.ratings)
logger.info("ELO history saved: %s", args.output)
print(json.dumps(result.to_dict(), indent=2))
if __name__ == "__main__":
main()
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"""
Commander AI Lab — PPO Decision Exporter
════════════════════════════════════════
Exports PPO self-play decisions as JSONL files in the same schema
as Forge DecisionSnapshot records. This enables the closed-loop
distillation pipeline where PPO-discovered strategies flow back
into the supervised training dataset.
Output files: data/results/ml-decisions-ppo-{batch_id}.jsonl
Each line is a JSON object compatible with the dataset_builder.py
ingestion pipeline, tagged with source="ppo" metadata.
Ref: docs/CLOSED-LOOP-DISTILLATION.md — Phase 1
Issue: #65
"""
import json
import logging
import os
import uuid
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional
import sys
project_root = str(Path(__file__).parent.parent.parent)
if project_root not in sys.path:
sys.path.insert(0, project_root)
from ml.config.scope import IDX_TO_ACTION, MacroAction
logger = logging.getLogger("ml.decision_exporter")
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
@dataclass
class ExporterConfig:
"""Configuration for the PPO decision exporter."""
output_dir: str = "data/results"
only_wins: bool = True # Only export decisions from winning games
model_version: str = "unknown"
min_episode_steps: int = 3 # Skip very short episodes (likely noise)
# ---------------------------------------------------------------------------
# Decision Record Builder
# ---------------------------------------------------------------------------
def _macro_action_to_forge_type(action: MacroAction) -> str:
"""Map a MacroAction enum to the closest Forge action type string."""
mapping = {
MacroAction.CAST_CREATURE: "cast_spell",
MacroAction.CAST_REMOVAL: "cast_spell",
MacroAction.CAST_DRAW: "cast_spell",
MacroAction.CAST_RAMP: "cast_spell",
MacroAction.CAST_COMMANDER: "cast_spell",
MacroAction.ATTACK_OPPONENT: "attack",
MacroAction.HOLD_MANA: "pass_priority",
MacroAction.PASS: "pass_priority",
}
return mapping.get(action, "pass_priority")
def build_decision_record(
game_state_snapshot: dict,
action_idx: int,
reward: float,
agent_seat: int,
game_id: str,
game_outcome: str,
archetype: str = "midrange",
source: str = "ppo",
model_version: str = "unknown",
episode_return: float = 0.0,
) -> dict:
"""
Build a single decision record in Forge-compatible JSONL format.
The record mirrors the schema consumed by dataset_builder.py so that
PPO-generated data can be mixed into the supervised training set.
"""
action = IDX_TO_ACTION[action_idx]
players = game_state_snapshot.get("players", [])
# Build per-player state matching Forge snapshot layout
player_snapshots = []
for i, p in enumerate(players):
player_snapshots.append({
"seat": i,
"life": p.get("life_total", 40),
"handSize": p.get("cards_in_hand", 0),
"permanentCount": p.get("creatures_on_battlefield", 0),
"graveyardSize": p.get("cards_in_graveyard", 0),
"manaAvailable": p.get("mana_available", 0),
"commanderDamageTaken": p.get("commander_damage_taken", 0),
"totalPowerOnBoard": p.get("total_power_on_board", 0),
"commanderTax": p.get("commander_tax", 0),
})
return {
# --- Core fields consumed by dataset_builder / labeler ---
"game_id": game_id,
"game_outcome": game_outcome,
"archetype": archetype,
# Action info (used by ml.actions.labeler)
"action": {
"type": _macro_action_to_forge_type(action),
"macro_action": action.value,
"action_idx": action_idx,
"seat": agent_seat,
},
# Board / game state
"turn": game_state_snapshot.get("turn", 1),
"phase": game_state_snapshot.get("phase", "main_1"),
"active_seat": game_state_snapshot.get("active_seat", 0),
"players": player_snapshots,
# --- PPO-specific metadata (distinguishes from Forge data) ---
"source": source,
"model_version": model_version,
"reward": round(reward, 6),
"episode_return": round(episode_return, 6),
}
# ---------------------------------------------------------------------------
# DecisionExporter — accumulates episode decisions and flushes to JSONL
# ---------------------------------------------------------------------------
class DecisionExporter:
"""
Collects decisions from PPO self-play episodes and writes them
to JSONL files compatible with the supervised training pipeline.
Usage::
exporter = DecisionExporter(ExporterConfig(model_version="gen-0"))
for ep in range(num_episodes):
exporter.begin_episode(agent_seat=0, playstyle="midrange")
for step in episode_steps:
exporter.record_step(state_snapshot, action_idx, reward)
exporter.end_episode(won=True, episode_return=3.14)
exporter.flush() # writes JSONL to disk
print(exporter.stats)
"""
def __init__(self, config: ExporterConfig = None):
self.config = config or ExporterConfig()
self._batch_id = str(uuid.uuid4())[:8]
self._records: List[dict] = []
self._episode_buffer: List[dict] = []
self._current_game_id: Optional[str] = None
self._current_seat: int = 0
self._current_playstyle: str = "midrange"
# Stats
self._total_episodes = 0
self._exported_episodes = 0
self._exported_decisions = 0
self._skipped_losses = 0
self._skipped_short = 0
# -- Episode lifecycle ---------------------------------------------------
def begin_episode(self, agent_seat: int = 0, playstyle: str = "midrange"):
"""Start tracking a new episode."""
self._episode_buffer = []
self._current_game_id = f"ppo-{self._batch_id}-{self._total_episodes}"
self._current_seat = agent_seat
self._current_playstyle = playstyle
def record_step(
self,
game_state_snapshot: dict,
action_idx: int,
reward: float,
):
"""Record a single decision step within the current episode."""
self._episode_buffer.append({
"snapshot": game_state_snapshot,
"action_idx": action_idx,
"reward": reward,
})
def end_episode(self, won: bool, episode_return: float = 0.0):
"""
Finalize the current episode.
If config.only_wins is True, decisions from losing episodes
are discarded (higher signal-to-noise for distillation).
"""
self._total_episodes += 1
# Gate: skip losses if configured
if self.config.only_wins and not won:
self._skipped_losses += 1
self._episode_buffer = []
return
# Gate: skip very short episodes
if len(self._episode_buffer) < self.config.min_episode_steps:
self._skipped_short += 1
self._episode_buffer = []
return
game_outcome = "win" if won else "loss"
for step in self._episode_buffer:
record = build_decision_record(
game_state_snapshot=step["snapshot"],
action_idx=step["action_idx"],
reward=step["reward"],
agent_seat=self._current_seat,
game_id=self._current_game_id,
game_outcome=game_outcome,
archetype=self._current_playstyle,
source="ppo",
model_version=self.config.model_version,
episode_return=episode_return,
)
self._records.append(record)
self._exported_episodes += 1
self._exported_decisions += len(self._episode_buffer)
self._episode_buffer = []
# -- Persistence ---------------------------------------------------------
def flush(self) -> Optional[str]:
"""
Write all accumulated records to a JSONL file.
Returns:
Path to the written file, or None if no records to write.
"""
if not self._records:
logger.info("No PPO decisions to export (0 records).")
return None
os.makedirs(self.config.output_dir, exist_ok=True)
filename = f"ml-decisions-ppo-{self._batch_id}.jsonl"
filepath = os.path.join(self.config.output_dir, filename)
with open(filepath, "w") as f:
for record in self._records:
f.write(json.dumps(record) + "\n")
logger.info(
"Exported %d PPO decisions (%d episodes) to %s",
len(self._records),
self._exported_episodes,
filepath,
)
self._records = []
return filepath
# -- Reporting -----------------------------------------------------------
@property
def stats(self) -> dict:
"""Return export statistics."""
return {
"batch_id": self._batch_id,
"total_episodes": self._total_episodes,
"exported_episodes": self._exported_episodes,
"exported_decisions": self._exported_decisions,
"skipped_losses": self._skipped_losses,
"skipped_short": self._skipped_short,
"pending_records": len(self._records),
}
@property
def batch_id(self) -> str:
return self._batch_id
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"""
Commander AI Lab — Distillation Loop Orchestrator
═══════════════════════════════════════════════════
Phase 4 (Issue #68): Automates the full closed-loop distillation cycle:
1. Supervised train on current dataset (Forge + any existing PPO data)
2. Run N episodes of PPO self-play using the supervised model as starting policy
3. Export winning PPO decisions to JSONL
4. Quality gate check
5. If passed → merge into dataset and repeat from step 1
6. If failed → discard PPO batch, adjust hyperparameters, retry
Each iteration is a "generation" — data and models are tagged with generation
number for traceability.
Convergence detection:
- Stops if win rate plateaus across `convergence_window` generations
- Hard stop at `max_iterations`
Ref: docs/CLOSED-LOOP-DISTILLATION.md — Phase 4
Issue: #68
"""
import json
import logging
import os
import shutil
import sys
import time
from dataclasses import dataclass, field
from datetime import datetime, timezone
from pathlib import Path
from typing import Dict, List, Optional
import numpy as np
project_root = str(Path(__file__).parent.parent.parent)
if project_root not in sys.path:
sys.path.insert(0, project_root)
from ml.config.scope import (
NUM_ACTIONS, STATE_DIMS, TRAINING_CONFIG,
)
from ml.data.quality_gate import QualityGate, QualityGateConfig, GateVerdict
from ml.training.decision_exporter import DecisionExporter, ExporterConfig
logger = logging.getLogger("ml.distillation")
# ═══════════════════════════════════════════════════════════
# Configuration
# ═══════════════════════════════════════════════════════════
@dataclass
class DistillationConfig:
"""Configuration for the distillation loop orchestrator."""
# --- Loop control ---
max_iterations: int = 10
convergence_window: int = 3 # Check last N generations for plateau
convergence_threshold: float = 0.01 # Min win-rate improvement to not plateau
# --- Paths ---
results_dir: str = "results"
models_dir: str = "ml/models"
checkpoint_dir: str = "ml/models/checkpoints"
history_dir: str = "results/distillation-history"
# --- Supervised training ---
supervised_epochs: int = 30
supervised_lr: float = 1e-3
supervised_batch_size: int = 64
supervised_patience: int = 5
# --- PPO self-play ---
ppo_iterations: int = 50
ppo_episodes_per_iter: int = 64
ppo_batch_size: int = 256
ppo_lr: float = 3e-4
ppo_clip_epsilon: float = 0.2
ppo_entropy_coeff: float = 0.01
ppo_eval_episodes: int = 100
opponent: str = "heuristic"
playstyle: str = "midrange"
# --- Dataset building ---
forge_weight: float = 1.0
ppo_weight: float = 0.5
min_reward_threshold: float = 0.0
# --- Quality gate ---
min_forge_accuracy: float = 0.35
max_accuracy_drop: float = 0.03
min_ppo_win_rate: float = 0.30
# --- Retry on gate failure ---
max_retries_per_generation: int = 2
retry_lr_factor: float = 0.5 # Halve PPO LR on retry
retry_entropy_boost: float = 0.005 # Increase entropy coeff on retry
# --- ELO convergence (Phase 6) ---
elo_convergence_enabled: bool = False # Off by default
elo_convergence_threshold: float = 20.0 # Stop if ELO gain < this
elo_tournament_episodes: int = 30 # Games per matchup for ELO mini-tournament
# ═══════════════════════════════════════════════════════════
# Generation metadata
# ═══════════════════════════════════════════════════════════
@dataclass
class GenerationRecord:
"""Tracks metadata for a single distillation generation."""
generation: int
started_at: str = ""
completed_at: str = ""
status: str = "pending" # pending | running | passed | failed | skipped
# Supervised training results
supervised_val_acc: float = 0.0
supervised_best_epoch: int = 0
supervised_checkpoint: str = ""
# PPO self-play results
ppo_win_rate: float = 0.0
ppo_best_win_rate: float = 0.0
ppo_episodes: int = 0
ppo_decisions_exported: int = 0
ppo_export_path: str = ""
# Quality gate
gate_accepted: bool = False
gate_reason: str = ""
baseline_accuracy: float = 0.0
post_merge_accuracy: float = 0.0
# Dataset stats
dataset_size: int = 0
forge_samples: int = 0
ppo_samples: int = 0
retries: int = 0
error: str = ""
elo_rating: float = 0.0
def to_dict(self) -> dict:
return {k: v for k, v in self.__dict__.items()}
# ═══════════════════════════════════════════════════════════
# Distillation Loop Orchestrator
# ═══════════════════════════════════════════════════════════
class DistillationLoop:
"""
Orchestrates the full closed-loop distillation pipeline.
Each "generation" runs the complete cycle:
supervised train → PPO self-play → export → quality gate → merge
The loop tracks convergence by monitoring PPO win rate across
generations and stops when improvement plateaus or max_iterations
is reached.
Usage::
config = DistillationConfig(max_iterations=5, ppo_iterations=30)
loop = DistillationLoop(config)
summary = loop.run()
"""
def __init__(self, config: DistillationConfig = None):
self.config = config or DistillationConfig()
self.generations: List[GenerationRecord] = []
self.quality_gate = QualityGate(QualityGateConfig(
min_forge_accuracy=self.config.min_forge_accuracy,
max_accuracy_drop=self.config.max_accuracy_drop,
min_ppo_win_rate=self.config.min_ppo_win_rate,
))
self._baseline_accuracy: Optional[float] = None
self._device: Optional[str] = None
self._stopped = False
# Ensure output directories exist
os.makedirs(self.config.history_dir, exist_ok=True)
os.makedirs(self.config.checkpoint_dir, exist_ok=True)
os.makedirs(self.config.results_dir, exist_ok=True)
# ------------------------------------------------------------------
# Public API
# ------------------------------------------------------------------
def run(self, progress_callback=None) -> Dict:
"""
Run the full distillation loop.
Args:
progress_callback: Optional callable(generation, record) for
progress reporting (e.g. to a web UI).
Returns:
Summary dict with per-generation metrics and convergence info.
"""
cfg = self.config
self._device = self._detect_device()
logger.info("=" * 65)
logger.info(" Commander AI Lab — Distillation Loop")
logger.info("=" * 65)
logger.info(" Max iterations: %d", cfg.max_iterations)
logger.info(" Convergence window: %d", cfg.convergence_window)
logger.info(" PPO iters/gen: %d", cfg.ppo_iterations)
logger.info(" PPO episodes/iter: %d", cfg.ppo_episodes_per_iter)
logger.info(" Supervised epochs: %d", cfg.supervised_epochs)
logger.info(" Device: %s", self._device)
logger.info(" Results dir: %s", cfg.results_dir)
logger.info("=" * 65)
loop_start = time.time()
for gen_num in range(1, cfg.max_iterations + 1):
if self._stopped:
logger.info("Loop stopped by external signal.")
break
logger.info("")
logger.info("─" * 65)
logger.info(" GENERATION %d / %d", gen_num, cfg.max_iterations)
logger.info("─" * 65)
record = self._run_generation(gen_num)
self.generations.append(record)
# Save generation history to disk after each round
self._save_history()
if progress_callback:
progress_callback(gen_num, record)
# Check convergence
if self._check_convergence():
logger.info(
"Convergence detected — win rate plateaued over "
"last %d generations. Stopping.",
cfg.convergence_window,
)
break
total_time = time.time() - loop_start
summary = self._build_summary(total_time)
self._save_summary(summary)
logger.info("")
logger.info("=" * 65)
logger.info(" Distillation Loop Complete")
logger.info("=" * 65)
logger.info(" Generations run: %d", summary["generations_run"])
logger.info(" Generations passed: %d", summary["generations_passed"])
logger.info(" Best win rate: %.1f%%", summary["best_win_rate"] * 100)
logger.info(" Converged: %s", summary["converged"])
logger.info(" Total time: %.1f s", total_time)
logger.info("=" * 65)
return summary
def stop(self):
"""Signal the loop to stop after the current generation."""
self._stopped = True
logger.info("Stop signal received — will halt after current generation.")
# ------------------------------------------------------------------
# Single generation execution
# ------------------------------------------------------------------
def _run_generation(self, gen_num: int) -> GenerationRecord:
"""Execute a single distillation generation (steps 1-6)."""
record = GenerationRecord(
generation=gen_num,
started_at=datetime.now(timezone.utc).isoformat(),
status="running",
)
cfg = self.config
gen_tag = f"gen-{gen_num:03d}"
gen_checkpoint_dir = os.path.join(cfg.checkpoint_dir, gen_tag)
os.makedirs(gen_checkpoint_dir, exist_ok=True)
try:
# ─── Step 1: Supervised Train ───────────────────────────
logger.info(" [Step 1] Supervised training on current dataset...")
sup_result = self._supervised_train(gen_checkpoint_dir, gen_tag)
if sup_result is None:
record.status = "failed"
record.error = "Supervised training failed — no dataset found"
record.completed_at = datetime.now(timezone.utc).isoformat()
return record
record.supervised_val_acc = sup_result["best_val_acc"]
record.supervised_best_epoch = sup_result["best_epoch"]
record.supervised_checkpoint = sup_result["checkpoint_path"]
# Set baseline accuracy on first generation
if self._baseline_accuracy is None:
self._baseline_accuracy = sup_result["best_val_acc"]
logger.info(
" Baseline accuracy set: %.3f (generation 1)",
self._baseline_accuracy,
)
# ─── Step 2-3: PPO Self-Play + Export ───────────────────
retries = 0
ppo_lr = cfg.ppo_lr
entropy_coeff = cfg.ppo_entropy_coeff
gate_passed = False
while retries <= cfg.max_retries_per_generation and not gate_passed:
if retries > 0:
logger.info(
" [Retry %d/%d] Adjusting hyperparameters: "
"lr=%.2e → %.2e, entropy=%.4f → %.4f",
retries, cfg.max_retries_per_generation,
ppo_lr, ppo_lr * cfg.retry_lr_factor,
entropy_coeff, entropy_coeff + cfg.retry_entropy_boost,
)
ppo_lr *= cfg.retry_lr_factor
entropy_coeff += cfg.retry_entropy_boost
logger.info(
" [Step 2] PPO self-play (%d iters × %d episodes)...",
cfg.ppo_iterations, cfg.ppo_episodes_per_iter,
)
ppo_result, exporter = self._ppo_self_play(
supervised_checkpoint=sup_result["checkpoint_path"],
gen_tag=gen_tag,
gen_checkpoint_dir=gen_checkpoint_dir,
learning_rate=ppo_lr,
entropy_coeff=entropy_coeff,
)
record.ppo_win_rate = ppo_result["final_win_rate"]
record.ppo_best_win_rate = ppo_result["best_win_rate"]
record.ppo_episodes = (
cfg.ppo_iterations * cfg.ppo_episodes_per_iter
)
logger.info(
" [Step 3] Exporting PPO decisions (win rate: %.1f%%)...",
ppo_result["best_win_rate"] * 100,
)
export_path = exporter.flush()
record.ppo_decisions_exported = exporter.stats["exported_decisions"]
record.ppo_export_path = export_path or ""
# ─── Step 4: Quality Gate ───────────────────────────
logger.info(" [Step 4] Quality gate check...")
verdict = self._quality_gate_check(
ppo_win_rate=ppo_result["best_win_rate"],
total_episodes=record.ppo_episodes,
exporter=exporter,
)
if verdict.accepted:
gate_passed = True
record.gate_accepted = True
record.gate_reason = verdict.reason
logger.info(" QUALITY GATE: PASSED — %s", verdict.reason)
else:
retries += 1
record.retries = retries
logger.warning(
" QUALITY GATE: FAILED — %s", verdict.reason,
)
if retries > cfg.max_retries_per_generation:
# ─── Step 6: Discard PPO batch ──────────────
logger.warning(
" [Step 6] Max retries exceeded — "
"discarding PPO batch for generation %d.",
gen_num,
)
if export_path and os.path.exists(export_path):
os.remove(export_path)
logger.info(
" Deleted rejected PPO data: %s", export_path
)
record.gate_accepted = False
record.gate_reason = (
f"Failed after {retries - 1} retries: "
f"{verdict.reason}"
)
# ─── Step 5: Merge into dataset (if passed) ─────────────
if gate_passed:
logger.info(
" [Step 5] PPO data accepted — will be included "
"in next generation's dataset build."
)
record.status = "passed"
# ─── ELO mini-tournament (Phase 6) ────────────────
if cfg.elo_convergence_enabled and gen_num > 1:
elo = self._run_elo_mini_tournament(
gen_checkpoint_dir, gen_num
)
if elo is not None:
record.elo_rating = elo
logger.info(" ELO rating: %.1f", elo)
else:
record.status = "failed"
except Exception as e:
logger.exception(" Generation %d failed with error: %s", gen_num, e)
record.status = "failed"
record.error = str(e)
record.completed_at = datetime.now(timezone.utc).isoformat()
return record
# ------------------------------------------------------------------
# Step 1: Supervised Training
# ------------------------------------------------------------------
def _supervised_train(
self,
gen_checkpoint_dir: str,
gen_tag: str,
) -> Optional[Dict]:
"""
Build dataset from all available data and train supervised model.
Returns training summary dict or None on failure.
"""
try:
import torch
except ImportError:
raise RuntimeError("PyTorch required for distillation loop")
cfg = self.config
# Build dataset (picks up both Forge + any PPO JSONL files in results_dir)
from ml.data.dataset_builder import build_dataset, split_dataset, save_dataset
try:
dataset = build_dataset(
results_dir=cfg.results_dir,
max_samples=None,
source_weights={
"forge": cfg.forge_weight,
"ppo": cfg.ppo_weight,
},
min_reward_threshold=cfg.min_reward_threshold,
)
except RuntimeError as e:
logger.warning("Dataset build failed: %s", e)
return None
if not dataset or len(dataset.get("states", [])) == 0:
logger.warning("No training data available.")
return None
# Split
train_data, val_data, test_data = split_dataset(dataset)
# Save splits (overwrite each generation — latest always at standard path)
data_dir = cfg.models_dir
os.makedirs(data_dir, exist_ok=True)
save_dataset(train_data, os.path.join(data_dir, "dataset-train.npz"))
save_dataset(val_data, os.path.join(data_dir, "dataset-val.npz"))
save_dataset(test_data, os.path.join(data_dir, "dataset-test.npz"))
# Create model
from ml.training.policy_network import PolicyNetwork
actual_dim = train_data["states"].shape[1]
model = PolicyNetwork(input_dim=actual_dim)
# Train
from ml.training.trainer import SupervisedTrainer, get_best_device
device = self._device or get_best_device()
trainer = SupervisedTrainer(
model=model,
device=device,
learning_rate=cfg.supervised_lr,
batch_size=cfg.supervised_batch_size,
epochs=cfg.supervised_epochs,
patience=cfg.supervised_patience,
checkpoint_dir=gen_checkpoint_dir,
)
summary = trainer.train(
train_states=train_data["states"],
train_labels=train_data["labels"],
val_states=val_data["states"],
val_labels=val_data["labels"],
)
# Also copy best checkpoint to the standard location
best_src = os.path.join(gen_checkpoint_dir, "best_policy.pt")
best_dst = os.path.join(cfg.checkpoint_dir, "best_policy.pt")
if os.path.exists(best_src):
shutil.copy2(best_src, best_dst)
return summary
# ------------------------------------------------------------------
# Steps 2-3: PPO Self-Play + Decision Export
# ------------------------------------------------------------------
def _ppo_self_play(
self,
supervised_checkpoint: str,
gen_tag: str,
gen_checkpoint_dir: str,
learning_rate: float = None,
entropy_coeff: float = None,
) -> tuple:
"""
Run PPO self-play initialized from the supervised checkpoint.
Returns (ppo_summary, exporter) tuple.
"""
cfg = self.config
from ml.training.ppo_trainer import PPOTrainer, PPOConfig
from ml.training.decision_exporter import DecisionExporter, ExporterConfig
# Set up decision exporter for this generation
exporter = DecisionExporter(ExporterConfig(
output_dir=cfg.results_dir,
only_wins=True,
model_version=gen_tag,
))
ppo_config = PPOConfig(
iterations=cfg.ppo_iterations,
episodes_per_iter=cfg.ppo_episodes_per_iter,
ppo_epochs=4,
batch_size=cfg.ppo_batch_size,
clip_epsilon=cfg.ppo_clip_epsilon,
entropy_coeff=entropy_coeff or cfg.ppo_entropy_coeff,
learning_rate=learning_rate or cfg.ppo_lr,
lr_schedule="cosine",
min_lr=1e-5,
opponent=cfg.opponent,
playstyle=cfg.playstyle,
checkpoint_dir=gen_checkpoint_dir,
save_every=max(1, cfg.ppo_iterations // 5),
eval_every=max(1, cfg.ppo_iterations // 10),
eval_episodes=cfg.ppo_eval_episodes,
load_supervised=supervised_checkpoint,
)
ppo_trainer = PPOTrainer(ppo_config)
# Monkey-patch collect_rollouts to include exporter
# The exporter is already wired into self_play.collect_rollouts
# via the exporter parameter, so we wrap the train loop.
original_collect = None
from ml.training import self_play as sp_module
_original_collect_rollouts = sp_module.collect_rollouts
def _instrumented_collect_rollouts(
agent_model, opponent_policy, buffer,
num_episodes=64, playstyle="midrange",
reward_config=None, **kwargs
):
return _original_collect_rollouts(
agent_model=agent_model,
opponent_policy=opponent_policy,
buffer=buffer,
num_episodes=num_episodes,
playstyle=playstyle,
reward_config=reward_config,
exporter=exporter,
)
# Temporarily replace module-level function
sp_module.collect_rollouts = _instrumented_collect_rollouts
try:
summary = ppo_trainer.train()
finally:
# Restore original
sp_module.collect_rollouts = _original_collect_rollouts
return summary, exporter
# ------------------------------------------------------------------
# Step 4: Quality Gate
# ------------------------------------------------------------------
def _quality_gate_check(
self,
ppo_win_rate: float,
total_episodes: int,
exporter: DecisionExporter,
) -> GateVerdict:
"""Run quality gate checks on the PPO output."""
# Win rate gate
win_verdict = self.quality_gate.check_win_rate(
ppo_win_rate=ppo_win_rate,
total_episodes=total_episodes,
)
if not win_verdict.accepted:
return win_verdict
# If we have baseline accuracy and this isn't the first generation,
# we could run a post-merge accuracy check here. For now, the win
# rate gate is the primary gatekeeper during the loop. The accuracy
# gate will be checked on the next generation's supervised training
# by comparing against self._baseline_accuracy.
return GateVerdict(
accepted=True,
reason=(
f"Win rate gate passed ({ppo_win_rate:.1%} >= "
f"{self.config.min_ppo_win_rate:.1%}). "
f"PPO data accepted for merge."
),
metrics={
"ppo_win_rate": ppo_win_rate,
"total_episodes": total_episodes,
"exported_decisions": exporter.stats["exported_decisions"],
},
)
# ------------------------------------------------------------------
# ELO mini-tournament (Phase 6)
# ------------------------------------------------------------------
def _run_elo_mini_tournament(
self, gen_checkpoint_dir: str, gen_num: int
) -> Optional[float]:
"""
Run a small ELO tournament between current gen, previous gen,
and heuristic baseline. Returns the current gen's ELO rating.
"""
cfg = self.config
try:
from ml.eval.elo_tracker import (
run_elo_tournament, EloHistory, HeuristicPolicy, LearnedPolicy,
)
policies = {"heuristic": HeuristicPolicy()}
# Current generation checkpoint
curr_path = os.path.join(gen_checkpoint_dir, "best_policy.pt")
curr_name = f"gen-{gen_num:03d}"
if os.path.exists(curr_path):
policies[curr_name] = LearnedPolicy(curr_path)
else:
logger.warning(" ELO: current gen checkpoint not found: %s", curr_path)
return None
# Previous generation checkpoint
if gen_num > 1:
prev_tag = f"gen-{gen_num - 1:03d}"
prev_dir = os.path.join(cfg.checkpoint_dir, prev_tag)
prev_path = os.path.join(prev_dir, "best_policy.pt")
if os.path.exists(prev_path):
policies[prev_tag] = LearnedPolicy(prev_path)
logger.info(
" [ELO] Running mini-tournament: %s (%d episodes/matchup)",
list(policies.keys()), cfg.elo_tournament_episodes,
)
result = run_elo_tournament(
policies=policies,
episodes_per_matchup=cfg.elo_tournament_episodes,
playstyle=cfg.playstyle,
)
# Save to ELO history
history_path = os.path.join(
os.path.dirname(cfg.history_dir), "elo_history.json"
) if cfg.history_dir else "data/elo_history.json"
history = EloHistory(path=history_path)
history.append(gen_num, result.ratings)
return result.ratings.get(curr_name, 0.0)
except Exception as e:
logger.warning(" ELO mini-tournament failed: %s", e)
return None
# ------------------------------------------------------------------
# Convergence detection
# ------------------------------------------------------------------
def _check_convergence(self) -> bool:
"""
Check if win rate has plateaued over recent generations.
Also checks ELO delta when elo_convergence_enabled is True.
Returns True if the loop should stop.
"""
cfg = self.config
passed = [g for g in self.generations if g.status == "passed"]
if len(passed) < cfg.convergence_window:
return False
recent = passed[-cfg.convergence_window:]
win_rates = [g.ppo_best_win_rate for g in recent]
# Check if max improvement across the window is below threshold
improvement = max(win_rates) - min(win_rates)
logger.info(
" Convergence check: last %d win rates = %s, "
"spread = %.4f (threshold = %.4f)",
cfg.convergence_window,
[f"{wr:.3f}" for wr in win_rates],
improvement,
cfg.convergence_threshold,
)
win_rate_converged = improvement < cfg.convergence_threshold
# ELO convergence check (Phase 6)
if cfg.elo_convergence_enabled and len(passed) >= 2:
elo_ratings = [g.elo_rating for g in passed[-2:] if g.elo_rating > 0]
if len(elo_ratings) >= 2:
elo_delta = elo_ratings[-1] - elo_ratings[-2]
logger.info(
" ELO convergence check: delta = %.1f (threshold = %.1f)",
elo_delta, cfg.elo_convergence_threshold,
)
if elo_delta < cfg.elo_convergence_threshold:
logger.info(" ELO delta below threshold — converged.")
return True
return win_rate_converged
# ------------------------------------------------------------------
# Device detection
# ------------------------------------------------------------------
def _detect_device(self) -> str:
"""Auto-detect best compute device."""
try:
import torch
if torch.cuda.is_available():
return "cuda"
if hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
return "mps"
except ImportError:
pass
return "cpu"
# ------------------------------------------------------------------
# History & summary persistence
# ------------------------------------------------------------------
def _save_history(self):
"""Save generation history to JSON."""
path = os.path.join(self.config.history_dir, "generations.json")
history = [g.to_dict() for g in self.generations]
with open(path, "w") as f:
json.dump(history, f, indent=2)
logger.info(" Generation history saved: %s", path)
def _build_summary(self, total_time: float) -> Dict:
"""Build final summary dict."""
passed = [g for g in self.generations if g.status == "passed"]
failed = [g for g in self.generations if g.status == "failed"]
best_wr = max(
(g.ppo_best_win_rate for g in self.generations), default=0.0
)
return {
"generations_run": len(self.generations),
"generations_passed": len(passed),
"generations_failed": len(failed),
"best_win_rate": best_wr,
"converged": self._check_convergence() if len(passed) >= self.config.convergence_window else False,
"total_time_s": round(total_time, 1),
"device": self._device,
"config": {
"max_iterations": self.config.max_iterations,
"convergence_window": self.config.convergence_window,
"convergence_threshold": self.config.convergence_threshold,
"ppo_iterations": self.config.ppo_iterations,
"supervised_epochs": self.config.supervised_epochs,
},
"generations": [g.to_dict() for g in self.generations],
}
def _save_summary(self, summary: Dict):
"""Save final summary to JSON."""
path = os.path.join(self.config.history_dir, "summary.json")
with open(path, "w") as f:
json.dump(summary, f, indent=2, default=str)
logger.info(" Summary saved: %s", path)
# ═══════════════════════════════════════════════════════════
# CLI Entry Point
# ═══════════════════════════════════════════════════════════
def main():
"""CLI entry point for the distillation loop."""
import argparse
parser = argparse.ArgumentParser(
description="Commander AI Lab — Closed-Loop Distillation"
)
# Loop control
parser.add_argument(
"--max-iterations", type=int, default=10,
help="Maximum number of distillation generations (default: 10)",
)
parser.add_argument(
"--convergence-window", type=int, default=3,
help="Number of generations to check for win-rate plateau (default: 3)",
)
parser.add_argument(
"--convergence-threshold", type=float, default=0.01,
help="Min win-rate spread to not be considered converged (default: 0.01)",
)
# Paths
parser.add_argument(
"--results-dir", default="data/results",
help="Directory containing JSONL decision files (default: data/results)",
)
parser.add_argument(
"--models-dir", default="ml/models",
help="Directory for dataset NPZ files (default: ml/models)",
)
parser.add_argument(
"--checkpoint-dir", default="ml/models/checkpoints",
help="Directory for model checkpoints (default: ml/models/checkpoints)",
)
# Supervised training
parser.add_argument("--sup-epochs", type=int, default=30)
parser.add_argument("--sup-lr", type=float, default=1e-3)
parser.add_argument("--sup-batch-size", type=int, default=64)
parser.add_argument("--sup-patience", type=int, default=5)
# PPO self-play
parser.add_argument("--ppo-iterations", type=int, default=50)
parser.add_argument("--ppo-episodes", type=int, default=64)
parser.add_argument("--ppo-lr", type=float, default=3e-4)
parser.add_argument("--ppo-batch-size", type=int, default=256)
parser.add_argument("--ppo-eval-episodes", type=int, default=100)
parser.add_argument(
"--opponent", default="heuristic",
choices=["heuristic", "random", "self"],
)
parser.add_argument("--playstyle", default="midrange")
# Dataset
parser.add_argument("--forge-weight", type=float, default=1.0)
parser.add_argument("--ppo-weight", type=float, default=0.5)
parser.add_argument("--min-reward", type=float, default=0.0)
# Quality gate
parser.add_argument("--min-win-rate", type=float, default=0.30)
parser.add_argument("--min-forge-accuracy", type=float, default=0.35)
parser.add_argument("--max-accuracy-drop", type=float, default=0.03)
args = parser.parse_args()
logging.basicConfig(
level=logging.INFO,
format="%(message)s",
)
config = DistillationConfig(
max_iterations=args.max_iterations,
convergence_window=args.convergence_window,
convergence_threshold=args.convergence_threshold,
results_dir=args.results_dir,
models_dir=args.models_dir,
checkpoint_dir=args.checkpoint_dir,
supervised_epochs=args.sup_epochs,
supervised_lr=args.sup_lr,
supervised_batch_size=args.sup_batch_size,
supervised_patience=args.sup_patience,
ppo_iterations=args.ppo_iterations,
ppo_episodes_per_iter=args.ppo_episodes,
ppo_batch_size=args.ppo_batch_size,
ppo_lr=args.ppo_lr,
ppo_eval_episodes=args.ppo_eval_episodes,
opponent=args.opponent,
playstyle=args.playstyle,
forge_weight=args.forge_weight,
ppo_weight=args.ppo_weight,
min_reward_threshold=args.min_reward,
min_ppo_win_rate=args.min_win_rate,
min_forge_accuracy=args.min_forge_accuracy,
max_accuracy_drop=args.max_accuracy_drop,
)
loop = DistillationLoop(config)
summary = loop.run()
print(json.dumps(summary, indent=2, default=str))
if __name__ == "__main__":
main()
+32
View File
@@ -38,6 +38,7 @@ from ml.config.scope import (
Playstyle, PLAYSTYLE_TO_IDX, STATE_DIMS, GamePhase, PHASE_TO_IDX,
)
from ml.training.reward import compute_intermediate_reward, compute_terminal_reward, RewardConfig
from ml.training.decision_exporter import DecisionExporter
logger = logging.getLogger("ml.self_play")
@@ -384,6 +385,7 @@ def run_self_play_episode(
playstyle: str = "midrange",
max_steps: int = 50,
reward_config: RewardConfig = None,
exporter: DecisionExporter = None,
) -> List[dict]:
"""Run a single self-play episode and return the trajectory.
@@ -395,6 +397,7 @@ def run_self_play_episode(
playstyle: Playstyle for state encoding
max_steps: Maximum decision steps per episode
reward_config: Reward configuration
exporter: Optional DecisionExporter to record steps for distillation
Returns:
List of step dicts: [{state, action, reward, value, log_prob, done}, ...]
@@ -458,6 +461,12 @@ def run_self_play_episode(
"log_prob": log_prob_scalar,
"done": True,
})
if exporter is not None:
exporter.record_step(
game_state_snapshot=prev_snapshot,
action_idx=action_idx,
reward=reward,
)
break
# Opponent's turn
@@ -483,6 +492,12 @@ def run_self_play_episode(
"log_prob": log_prob_scalar,
"done": True,
})
if exporter is not None:
exporter.record_step(
game_state_snapshot=prev_snapshot,
action_idx=action_idx,
reward=reward,
)
break
# Intermediate reward
@@ -499,6 +514,12 @@ def run_self_play_episode(
"log_prob": log_prob_scalar,
"done": False,
})
if exporter is not None:
exporter.record_step(
game_state_snapshot=prev_snapshot,
action_idx=action_idx,
reward=reward,
)
# Advance turn
state = advance_turn(state)
@@ -513,6 +534,7 @@ def collect_rollouts(
num_episodes: int = 64,
playstyle: str = "midrange",
reward_config: RewardConfig = None,
exporter: DecisionExporter = None,
) -> dict:
"""Collect multiple self-play episodes into a rollout buffer.
@@ -523,6 +545,7 @@ def collect_rollouts(
num_episodes: Number of episodes to collect
playstyle: Agent playstyle
reward_config: Reward configuration
exporter: Optional DecisionExporter to record decisions for distillation
Returns:
Collection statistics dict
@@ -538,12 +561,16 @@ def collect_rollouts(
# Alternate agent seat for balanced training
agent_seat = ep % 2
if exporter is not None:
exporter.begin_episode(agent_seat=agent_seat, playstyle=playstyle)
trajectory = run_self_play_episode(
agent_model=agent_model,
opponent_policy=opponent_policy,
agent_seat=agent_seat,
playstyle=playstyle,
reward_config=reward_config,
exporter=exporter,
)
for step in trajectory:
@@ -569,6 +596,11 @@ def collect_rollouts(
else:
total_draws += 1
if exporter is not None:
won = trajectory and trajectory[-1]["done"] and trajectory[-1]["reward"] > 0.5
ep_return = sum(s["reward"] for s in trajectory)
exporter.end_episode(won=won, episode_return=ep_return)
# Compute GAE after collection
buffer.compute_returns_and_advantages(last_value=0.0)
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