# Air-Gap Confidence Verification

## Execution Flow Analysis

### Setup Phase (With Internet)

```bash
tropiflo setup-airgap
```

**Steps:**
1. Line 265: `image_tag = f"{image_name}:{python_version}"` 
   - Creates tag: `co-datascientist-airgap:3.10`
2. Line 267: `docker build -t co-datascientist-airgap:3.10`
   - Builds FROM `python:3.10-slim` (requires internet)
   - RUN apt-get update (requires internet)
   - RUN pip install (requires internet)
   - Image stored in Docker's local cache
3. Line 301: `config_data['custom_base_image'] = image_tag`
   - Writes EXACT tag to config: `custom_base_image: co-datascientist-airgap:3.10`

**Result:** Image `co-datascientist-airgap:3.10` cached locally + config updated

---

### Runtime Phase (Offline)

```bash
tropiflo run config.yaml
```

**Baseline Build:**
1. Line 185: `custom_base_image = config.get('custom_base_image')`
   - Reads: `co-datascientist-airgap:3.10`
2. Lines 186-192: Passes to `generator.generate_dockerfile(..., custom_base_image=custom_base_image)`
3. Lines 93-110 in docker_generator.py: Generates Dockerfile:
   ```dockerfile
   FROM co-datascientist-airgap:3.10  # Uses LOCAL cached image
   WORKDIR /app
   COPY . .
   CMD [...]
   ```
   **NO apt-get, NO pip install, NO python:X.X-slim pull**
4. Line 357: `docker_image_tag = self.compile_docker_image(...)`
   - Builds using local image only
   - Docker finds `co-datascientist-airgap:3.10` in local cache
   - Works offline!
5. Line 359: Stores as `self._base_image_tag` for hypotheses

**Hypothesis Builds (parallel):**
1. Lines 642-646: Generates hypothesis Dockerfile:
   ```dockerfile
   FROM {self._base_image_tag}  # Uses baseline image (which used custom base)
   COPY . .
   CMD [...]
   ```
2. Each builds in ~5-10 seconds
3. All use locally cached images
4. All work offline!

---

## Critical Verification Points

### 1. Image Name Match
- Setup creates: `co-datascientist-airgap:3.10`
- Config contains: `co-datascientist-airgap:3.10`
- Runtime uses: `co-datascientist-airgap:3.10`
- **Status: EXACT MATCH**

### 2. No Internet Calls in Generated Dockerfile
When `custom_base_image` is set, the Dockerfile contains:
- FROM {custom_base_image} - LOCAL image
- COPY . . - LOCAL files
- NO apt-get (skipped)
- NO pip install (skipped)
- NO base image pull (skipped)
- **Status: FULLY OFFLINE**

### 3. Docker Build Behavior
- `docker build` will use locally cached images if available
- If image not found locally, it tries to pull (would fail offline)
- Our setup ensures image IS cached locally
- **Status: SAFE**

---

## Potential Failure Points & Mitigations

### Failure 1: Image Name Mismatch
**Cause:** Image built with one name, config has different name
**Mitigation:** Lines 265 & 301 use same `image_tag` variable
**Risk:** VERY LOW (same variable used)

### Failure 2: Image Not Actually Built
**Cause:** Docker build fails but setup-airgap doesn't error
**Mitigation:** Line 272 checks `returncode != 0` and returns on failure
**Risk:** LOW (explicit error checking)

### Failure 3: Config Not Updated
**Cause:** YAML write fails
**Mitigation:** Line 309 catches exceptions and tells user to manually add
**Risk:** LOW (explicit error handling + user fallback)

### Failure 4: Docker Image Deleted
**Cause:** User runs `docker system prune` after setup
**Mitigation:** None (user error), but documented in AIR_GAP_DEPLOYMENT.md
**Risk:** LOW (user action required)

### Failure 5: Wrong Python Version
**Cause:** Setup uses Python 3.10, runtime detects 3.11
**Mitigation:** setup-airgap auto-detects Python version at setup time
**Risk:** LOW (consistent detection)

---

## Testing Checklist

Before deployment, verify:

- [ ] Image name generated matches config written
- [ ] Dockerfile generator skips internet-dependent commands when custom_base_image set
- [ ] Docker build uses local cache when image exists
- [ ] Baseline uses custom_base_image correctly
- [ ] Hypotheses build from baseline (which used custom base)
- [ ] Error messages are clear if setup fails
- [ ] Works after `docker network disconnect` (true offline test)

---

## Manual Verification Test

```bash
# 1. Setup
cd test_project
tropiflo setup-airgap

# 2. Verify image exists
docker images | grep co-datascientist-airgap
# Should show: co-datascientist-airgap  3.10  ...

# 3. Verify config
cat config.yaml | grep custom_base_image
# Should show: custom_base_image: co-datascientist-airgap:3.10

# 4. Test offline (optional but recommended)
# Disconnect from internet OR:
docker network disconnect bridge $(docker ps -q)

# 5. Run workflow
tropiflo run config.yaml

# Should complete without errors!
# Check logs for "FROM co-datascientist-airgap:3.10"
```

---

## Confidence Level

### High Confidence Areas:
- Image name consistency (same variable used)
- Dockerfile generation logic (conditional, well-tested pattern)
- Error handling (explicit checks)
- Docker behavior (standard caching mechanism)

### Medium Confidence Areas:
- User following instructions correctly
- Docker daemon behavior in air-gap environment
- Network isolation implementation varies by environment

### Low Risk Areas:
- Code path is straightforward (read config → generate Dockerfile → build)
- Backwards compatible (only activates if custom_base_image in config)
- Failure modes are visible (Docker errors are clear)

---

## Recommended Customer Testing

Before going fully offline, customer should:

1. **Test with internet:** Run workflow normally, verify it works
2. **Test semi-offline:** Disconnect but keep Docker daemon running
3. **Test fully offline:** Close all outbound connections
4. **Verify results:** Check that outputs are identical

This staged approach catches issues before production deployment.

---

## Final Answer: Will It Work?

**YES, with high confidence**, because:

1. The image name is guaranteed to match (same variable)
2. The Dockerfile generation explicitly avoids internet calls
3. Docker's local cache is reliable and standard behavior
4. The code path is simple and linear (no complex branching)
5. Error handling catches failure cases

**The only way it fails is if:**
- User deletes the Docker image after setup
- User modifies config incorrectly
- Docker daemon has issues (unrelated to our code)

All of these are edge cases with clear error messages.
