# OpenEnv Deployment Checklist

## ✅ All Requirements Verified

### 1. ✅ HF Space Deployment Ready
- [x] Dockerfile builds successfully
- [x] Port 7860 exposed and configured
- [x] Health check endpoint at `/health`
- [x] Root endpoint redirects to UI at `/ui`
- [x] FastAPI app properly configured

### 2. ✅ Reset Endpoint Available
- [x] `reset(config: Dict)` method implemented
- [x] Accepts `config={"task_id": "<task_id>"}` parameter
- [x] Returns valid QuantumObservation
- [x] All 7 tasks reset successfully:
  - easy (Bell State)
  - medium (GHZ State)
  - hard (Unitary Approximation)
  - efficient (Imperfect but Efficient)
  - noisy (Noise-Dominant)
  - budget (Budgeted Optimization)
  - approx (Approximate Target)

### 3. ✅ OpenEnv Spec Compliance
- [x] `openenv.yaml` validated with all required fields:
  - spec_version: 1
  - name: quantum_circuit_optimizer
  - type: space
  - runtime: fastapi
  - app: server.app:app
  - port: 7860
  - tasks: 7 tasks defined
  - action_schema: Complete
  - observation_schema: Complete

- [x] Typed Pydantic models:
  - QuantumAction (extends Action)
  - QuantumObservation (extends Observation)
  - QuantumState (extends State)

- [x] Core endpoints implemented:
  - `reset(config)` → QuantumObservation
  - `step(action)` → QuantumObservation
  - `state` property → QuantumState

### 4. ✅ Dockerfile Builds
- [x] Multi-stage build using openenv-base
- [x] Dependencies installed via uv sync
- [x] Virtual environment properly configured
- [x] PYTHONPATH set correctly
- [x] Health check configured
- [x] CMD runs uvicorn server on port 7860

### 5. ✅ Baseline Inference Script
- [x] `inference.py` exists in root directory
- [x] Uses OpenAI client for LLM calls
- [x] Reads environment variables:
  - API_BASE_URL
  - MODEL_NAME
  - HF_TOKEN
  - IMAGE_NAME
- [x] Proper stdout format:
  - [START] line at episode begin
  - [STEP] line per step
  - [END] line after completion
- [x] Runs all 7 tasks
- [x] Returns scores in [0, 1] range

### 6. ✅ 3+ Tasks with Graders
- [x] **7 tasks total** (exceeds minimum of 3):
  1. easy - Bell State (2 qubits, no noise)
  2. medium - GHZ State (3 qubits, depolarizing noise)
  3. hard - Unitary Approximation (2 qubits, thermal noise)
  4. efficient - Imperfect but Efficient (3 qubits, efficiency focus)
  5. noisy - Noise-Dominant (2 qubits, noise focus)
  6. budget - Budgeted Optimization (3 qubits, gate budget)
  7. approx - Approximate Target (4 qubits, tolerance)

- [x] **5 modular graders** implemented:
  1. FidelityGrader - State overlap (0-1)
  2. EfficiencyGrader - Depth + gate count (0-1)
  3. NoiseGrader - Noise resilience (0-1)
  4. ConstraintsGrader - Connectivity compliance (0-1)
  5. UnitaryGrader - Unitary fidelity (0-1)
  6. AggregateGrader - Weighted combination (0-1)

- [x] All graders produce scores in [0.0, 1.0] range
- [x] Rewards in reasonable range (typically -1 to +1)
- [x] Shaped reward function (not sparse)

### 7. ✅ Additional Features
- [x] Gradio UI at `/ui` endpoint
- [x] Task listing at `/tasks` endpoint
- [x] Concurrent session support
- [x] Deterministic scoring (same circuit → same score)
- [x] Qiskit statevector backend for quantum simulation
- [x] Comprehensive error handling
- [x] Detailed logging

## 📋 Deployment Commands

### Local Testing
```bash
# Run environment directly
python server/my_env_environment.py

# Run compliance tests
python test_compliance.py

# Start server locally
uvicorn server.app:app --host 0.0.0.0 --port 7860
```

### Docker Build & Run
```bash
# Build image
docker build -t quantum-circuit-opt:latest .

# Run container
docker run -p 7860:7860 quantum-circuit-opt:latest

# Test health endpoint
curl http://localhost:7860/health
```

### Inference Testing
```bash
# Set environment variables
export HF_TOKEN="your-token"
export IMAGE_NAME="quantum-circuit-opt:latest"
export MODEL_NAME="Qwen/Qwen2.5-72B-Instruct"

# Run inference
python inference.py
```

### Deploy to HF Spaces
```bash
# Using OpenEnv CLI
openenv push

# Or manually push to HF Space repository
git push hf main
```

## 🎯 Expected Performance

| Task | Expected Score | Expected Fidelity |
|------|---------------|-------------------|
| Easy (Bell) | 0.65-0.85 | >= 0.90 |
| Medium (GHZ) | 0.45-0.65 | >= 0.80 |
| Hard (Unitary) | 0.30-0.50 | >= 0.60 |
| Efficient | 0.60-0.80 | >= 0.85 |
| Noisy | 0.40-0.60 | >= 0.75 |
| Budget | 0.50-0.70 | >= 0.80 |
| Approx | 0.55-0.75 | >= 0.70 |

## ✅ All Requirements Met

**Status: READY FOR DEPLOYMENT** 🚀

All OpenEnv compliance requirements have been verified:
- ✅ HF Space deploys
- ✅ Automated ping returns 200 and responds to reset()
- ✅ OpenEnv spec compliance validated
- ✅ Dockerfile builds successfully
- ✅ Baseline inference script runs without error
- ✅ 7 tasks with 5 graders, all scores in [0.0-1.0] range