# Feature Demo: F007 — HuggingFace Deployment & Submission

> **Generated:** 2026-03-29T07:33:23Z
> **Context source:** spec + discovery only (implementation not read)
> **Feature entry:** [FEATURES.json #F007](../specs/FEATURES.json)

---

## What This Feature Does

F007 packages SQLEnv so a judge can actually consume it end-to-end: discover the project from README, run or visit the deployed Hugging Face Space, and use the training notebook workflow.

From a user perspective, the core value is trust and usability: deployment assets validate/build/push cleanly, and the submission package is runnable by someone outside the team.

---

## What Is Already Proven

### Verified in This Demo Run

- Ran deployment validation locally with `uv run openenv validate --verbose`.
- Built deployment image locally with `uv run openenv build -t openenv-sql-env-f007-hf-submission`.
- Ran authenticated deployment push with `uv run openenv push` to `https://huggingface.co/spaces/hjerpe/sql_env`.
- Ran notebook/training E2E checks (`tests/e2e/test_training_e2e.py`): 5 passed.
- Ran full regression suite: 250 passed, 1 skipped.

### Previously Verified Evidence

- `specs/FEATURES.json` → `verification_evidence` for F007: 250/250 tests passed, verifier approved.
- `specs/F007-IMPLEMENTATION_SPEC.md` (Section 1a) records authenticated build + push completion evidence.

---

## What Still Needs User Verification

- Open the live Space in a browser and manually run a reset/step/answer episode flow.
- Open `notebooks/train_grpo.ipynb` in Colab and execute cells in order on a clean runtime.

---

## Quickstart / Verification Steps

> Run these commands to see the feature in action:

```bash
uv run openenv validate --verbose
uv run openenv build -t openenv-sql-env-f007-hf-submission
uv run openenv push
```

Prereq: authenticated Hugging Face CLI/account with write access to target Space.

---

## Live Local Proof

### Validate Deployment Configuration

This confirms deployment mode support and flags non-Docker modes clearly.

```bash
uv run openenv validate --verbose
```

```text
[OK] sql-env-F007-huggingface-deployment-submission: Ready for multi-mode deployment

Supported deployment modes:
  [YES] docker
  [YES] openenv_serve
  [YES] uv_run
  [YES] python_module
```

What to notice: All four deployment modes are supported.

### Build the Hugging Face Deployment Image

```bash
uv run openenv build -t openenv-sql-env-f007-hf-submission
```

```text
Building Docker image for: sql-env-F007-huggingface-deployment-submission
...
#18 naming to docker.io/library/openenv-sql-env-f007-hf-submission done
✓ Docker build successful

Done!
```

What to notice: image build completed successfully with the expected tag.

### Push to Hugging Face Space

```bash
uv run openenv push
```

```text
✓ Authenticated as: hjerpe
Creating/verifying space: hjerpe/sql_env
✓ Space hjerpe/sql_env is ready
Uploading files to hjerpe/sql_env...
✓ Upload completed successfully
Space URL: https://huggingface.co/spaces/hjerpe/sql_env

✓ Deployment complete!
Visit your space at: https://huggingface.co/spaces/hjerpe/sql_env
```

What to notice: authenticated push succeeded and produced a live Space URL.

---

## Existing Evidence

- Verification spec target command (`uv run --with pytest pytest tests/ -v`) was re-run in this demo and passed.
- F007 entry in `specs/FEATURES.json` already recorded verifier approval before this refresh.

---

## Manual Verification Checklist

1. Open `https://huggingface.co/spaces/hjerpe/sql_env`.
2. Confirm the app loads without startup errors.
3. Start an episode (reset), then run at least one exploration step.
4. Submit an answer action and confirm terminal response/reward appears.
5. Open `notebooks/train_grpo.ipynb` in Colab and run setup + connect + one training/eval pass.

---

## Edge Cases Exercised

### All deployment modes pass validation

```bash
uv run openenv validate --verbose
```

```text
Supported deployment modes:
  [YES] docker
  [YES] openenv_serve
  [YES] uv_run
  [YES] python_module
```

This matters because all four modes pass cleanly — no warnings or caveats for the submission reviewer.

### Verification-spec command drift (error case)

```bash
uv run --with pytest pytest tests/e2e/test_readme_completeness.py -v
```

```text
ERROR: file or directory not found: tests/e2e/test_readme_completeness.py
collected 0 items
============================ no tests ran in 0.00s ============================
```

This matters because it reveals a spec-to-repo mismatch that should be corrected in verification artifacts.

### Notebook pipeline smoke validation still passes

```bash
uv run --with pytest pytest tests/e2e/test_training_e2e.py -v
```

```text
collected 5 items
...
============================== 5 passed in 11.33s ==============================
```

This confirms the training notebook path still has executable smoke coverage.

---

## Test Evidence (Optional)

> Supplementary proof that the feature works correctly across all scenarios.

| Test Suite | Tests | Status |
|---|---|---|
| Full regression (`uv run --with pytest pytest tests/ -v`) | 251 collected | 250 passed, 1 skipped |
| Training E2E (`tests/e2e/test_training_e2e.py`) | 5 | All passed |

---

## Feature Links

- Implementation spec: `specs/F007-IMPLEMENTATION_SPEC.md`
- Verification spec: `specs/F007-VERIFICATION_SPEC.md`

---

*Demo generated by `feature-demo` agent. Re-run with `/feature-demo F007` to refresh.*