### Project Setup: Custom Instructions

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Copy the contents of this file to be pasted into the Project instructions in ChatGPT.

```text
PROJECT_CUSTOM_INSTRUCTIONS.txt

```

--------------------------------

### Project Setup: Zip Folder

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Create a zip archive of the project directory to be used as a source bundle for ChatGPT Projects.

```text
canon-boundary-guard-gpt/

```

--------------------------------

### Example Labels for Simulated Gate

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

These labels are deterministically generated by the simulated gate to indicate the status of content regarding saving and approval.

```text
[SAFE TO SAVE]
[DO NOT SAVE - L1/L3 PRESENT]
[STATE DELTA - SAVE/PASTE ONLY AS RECOVERY MATERIAL]
[DRAFT - REQUIRES OPERATOR APPROVAL]
```

--------------------------------

### State and Recovery Sources

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Lists the potential sources for recovering the working state when valid state is unavailable. These include uploaded JSON files, pasted deltas, and explicit operator reconstruction.

```text
1. uploaded `SESSION_STATE.json`
2. pasted `CANON_STATE_DELTA` with valid `current_state`
3. explicit operator reconstruction marked as `L1A`
```

--------------------------------

### Script: Extract Proof

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Python script for extracting proof from artifacts.

```python
extract_proof.py

```

--------------------------------

### Package Structure: Bundle Contents

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Lists the files and directories contained within the Canon Boundary Guard zip bundle.

```text
canon-boundary-guard-gpt/
|-- SKILL.md
|-- references/
|   |-- gpt-project-adapter.md
|   |-- proof-of-read.md
|   |-- protocol.md
|   |-- scratch-canon.md
|   `-- state-and-recovery.md
|-- schemas/
|   |-- CANON_STATE_DELTA.schema.json
|   `-- SESSION_STATE.schema.json
`-- scripts/
    |-- artifact_fingerprint.py
    |-- extract_proof.py
    `-- validate_state.py

```

--------------------------------

### Working State Path

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Specifies the file path for the working session state. This file is not durable on its own and requires specific conditions for creation and use.

```text
/mnt/data/_SESSION_STATE.json
```

--------------------------------

### Proof Extraction Script

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Describes the `extract_proof.py` script, which is responsible for extracting mechanical proof-of-read from text or Markdown files. It also reads files using `utf-8-sig` encoding.

```python
import re

def extract_proof_from_text(text):
    # Example: Extracting lines that look like proof statements
    proof_lines = re.findall(r'^Proof:.*', text, re.MULTILINE)
    return proof_lines

def extract_proof_from_file(file_path):
    try:
        with open(file_path, 'r', encoding='utf-8-sig') as f:
            content = f.read()
        return extract_proof_from_text(content)
    except FileNotFoundError:
        print(f"Error: File not found at {file_path}")
        return []
    except Exception as e:
        print(f"An unexpected error occurred: {e}")
        return []

# Example usage:
# proof = extract_proof_from_file('document.md')
# print(proof)

```

--------------------------------

### Artifact Fingerprint Script

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Explains the `artifact_fingerprint.py` script, which generates a fingerprint for files by emitting their size, modification time, and SHA-256 hash.

```python
import os
import hashlib
import datetime

def get_artifact_fingerprint(file_path):
    try:
        file_stat = os.stat(file_path)
        file_size = file_stat.st_size
        modified_time = datetime.datetime.fromtimestamp(file_stat.st_mtime).isoformat()
        
        sha256_hash = hashlib.sha256()
        with open(file_path, 'rb') as f:
            while chunk := f.read(4096):
                sha256_hash.update(chunk)
        file_hash = sha256_hash.hexdigest()
        
        return {
            "file_size": file_size,
            "modified_time": modified_time,
            "sha256_hash": file_hash
        }
    except FileNotFoundError:
        print(f"Error: File not found at {file_path}")
        return None
    except Exception as e:
        print(f"An unexpected error occurred: {e}")
        return None

# Example usage:
# fingerprint = get_artifact_fingerprint('my_artifact.zip')
# print(fingerprint)

```

--------------------------------

### Script: Artifact Fingerprint

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Python script for generating an artifact fingerprint.

```python
artifact_fingerprint.py

```

--------------------------------

### SESSION_STATE Schema

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/canon-boundary-guard-gpt/references/state-and-recovery.md

Defines the minimal schema for the working state file, SESSION_STATE.json. This schema is used for validation.

```json
{
  "protocol": "canon-boundary-guard:gpt-project-adapter",
  "protocol_version": "1.1",
  "state_seq": 0,
  "updated_at": "ISO-8601",
  "active_l0_sources": [],
  "authorized_deltas": [],
  "open_conflicts": [],
  "pending_decisions": [],
  "last_persistent_artifacts": [],
  "last_state_hash": "sha256:optional"
}
```

--------------------------------

### Script: Validate State

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Python script for validating session state.

```python
validate_state.py

```

--------------------------------

### State Validation Script

Source: https://github.com/xxyoudeadpunkxx/canon-boundary-guard-for-gpt-project/blob/main/README.md

Details the functionality of the `validate_state.py` script, which is used to validate session state and canon state delta files. It utilizes `jsonschema` if available and falls back to manual validation.

```python
import json
import jsonschema

def validate_state(state_file_path):
    try:
        with open(state_file_path, 'r', encoding='utf-8-sig') as f:
            state_data = json.load(f)
        # Load schema (assuming schema is available)
        # schema = ... 
        # jsonschema.validate(instance=state_data, schema=schema)
        print(f"State file {state_file_path} is valid.")
    except FileNotFoundError:
        print(f"Error: State file not found at {state_file_path}")
    except json.JSONDecodeError:
        print(f"Error: Could not decode JSON from {state_file_path}")
    except jsonschema.ValidationError as e:
        print(f"Schema validation failed for {state_file_path}: {e}")
    except Exception as e:
        print(f"An unexpected error occurred during validation: {e}")

# Example usage:
# validate_state('/mnt/data/SESSION_STATE.json')

```

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