FINAL_CHECKLIST.md

✅ FINAL PRE-DEPLOYMENT CHECKLIST

Quick Verification (Run These Commands)

1. Compliance Tests

cd d:\2026\Meta_Pytorch\OpenEnv\my_env
python test_compliance.py

Expected: 🎉 ALL COMPLIANCE TESTS PASSED! Total: 6/6 tests passed

2. Pre-Deployment Validation

python validate_deployment.py

Expected: 🎉 READY FOR DEPLOYMENT! Total: 6/6 checks passed

3. Environment Smoke Tests

python server/my_env_environment.py

Expected: ALL SMOKE TESTS PASSED!

4. Local Server Test

# Terminal 1: Start server
uvicorn server.app:app --host 0.0.0.0 --port 7860

# Terminal 2: Test endpoints
curl http://localhost:7860/health
curl http://localhost:7860/tasks

# Browser: Open http://localhost:7860/ui

Expected: Health returns {"status":"ok"}, UI loads successfully

5. Docker Build Test

docker build -t quantum-circuit-opt:latest .

Expected: Build completes without errors

6. Docker Run Test

docker run -p 7860:7860 quantum-circuit-opt:latest

# In another terminal
curl http://localhost:7860/health

Expected: Container runs, health check passes

Deployment Readiness Checklist

Core Requirements

• Reset endpoint fixed: reset(config: Dict) signature
• All 7 tasks reset successfully
• Step endpoint works (ADD, REMOVE, SWAP, PARAM, STOP)
• State property returns valid State object
• All graders produce scores in [0.0, 1.0]
• Rewards in valid range

OpenEnv Compliance

• openenv.yaml validated
• Pydantic models (Action, Observation, State)
• Action schema defined
• Observation schema defined
• 7 tasks defined (exceeds minimum of 3)

Infrastructure

• Dockerfile builds successfully
• Port 7860 exposed
• Health check configured
• Gradio UI at /ui
• FastAPI app properly configured

Testing & Documentation

• Compliance tests created and passing
• Validation script created and passing
• Smoke tests passing
• README updated with deployment status
• Deployment guides created
• Checklist documents created

Inference

• inference.py in root directory
• Uses OpenAI client
• Proper stdout format
• Runs all 7 tasks
• Environment variables documented

Files to Review Before Deployment

1. DEPLOYMENT_READY.md - Overall status and summary
2. DEPLOYMENT_CHECKLIST.md - Complete requirements verification
3. QUICK_DEPLOY.md - Step-by-step deployment instructions
4. DEPLOYMENT_FIXES.md - What was fixed and why
5. README.md - Updated with all 7 tasks and deployment status

Deployment Options

Option 1: OpenEnv CLI (Recommended)

# Ensure you're logged in to HuggingFace
huggingface-cli login

# Deploy
openenv push

Option 2: Manual Docker Push

# Build
docker build -t quantum-circuit-opt:latest .

# Tag for HF Spaces
docker tag quantum-circuit-opt:latest registry.hf.space/YOUR_USERNAME-quantum-circuit-optimizer:latest

# Push
docker push registry.hf.space/YOUR_USERNAME-quantum-circuit-optimizer:latest

Option 3: Git Push to HF Space

# Create Space on HuggingFace (SDK: Docker)
# Clone Space repo
git clone https://huggingface.co/spaces/YOUR_USERNAME/quantum-circuit-optimizer
cd quantum-circuit-optimizer

# Copy files
cp -r /path/to/my_env/* .

# Commit and push
git add .
git commit -m "Initial deployment"
git push

Post-Deployment Verification

Once deployed to HF Spaces:

1. Check Space Status

   • Visit your Space URL
   • Verify it's running (not building or error state)

2. Test Health Endpoint

   curl https://YOUR_USERNAME-quantum-circuit-optimizer.hf.space/health
   

3. Test UI

   • Open Space URL in browser
   • Should redirect to /ui
   • Try resetting environment
   • Try adding a gate

4. Test Tasks Endpoint

   curl https://YOUR_USERNAME-quantum-circuit-optimizer.hf.space/tasks
   

5. Run Inference (if you have API access)

   export HF_TOKEN="your-token"
   export IMAGE_NAME="YOUR_USERNAME/quantum-circuit-optimizer"
   python inference.py
   

Troubleshooting

Build Fails

• Check Dockerfile syntax
• Verify dependencies in pyproject.toml
• Check Docker logs in HF Space

Reset Endpoint Error

• Verify signature: reset(config: Dict)
• Check that config contains task_id
• Review server/my_env_environment.py

Scores Out of Range

• All grader scores must be [0.0, 1.0]
• Check aggregate grader weights
• Verify score clamping

UI Not Loading

• Check port 7860 is exposed
• Verify Gradio is installed
• Check app.py mounts Gradio correctly

Success Criteria

✅ All compliance tests pass ✅ Pre-deployment validation passes ✅ Docker builds successfully ✅ Local server runs and responds ✅ Health endpoint returns 200 ✅ UI is accessible ✅ All 7 tasks reset successfully ✅ Graders produce valid scores

Final Status

🎉 READY FOR DEPLOYMENT

All requirements verified. You can now deploy to HuggingFace Spaces with confidence!

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Next Command: openenv push or follow manual steps in QUICK_DEPLOY.md

Questions? Review the documentation files or check OpenEnv docs at https://github.com/meta-pytorch/OpenEnv