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refactor: simplify model validation to use Claude AI

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Major simplification of CI/CD:
- Remove complex Python model validation scripts (400+ lines)
- Let Claude handle model validation intelligently via GitHub Actions
- Claude fetches latest models from docs.anthropic.com/en/docs/about-claude/models/overview.md
- Add comprehensive notebook validation script for local testing
  - Interactive dashboard with progress tracking
  - Auto-fix for deprecated models
  - GitHub issue export format
  - Idempotent with state persistence
- Simplify CI to use single Python version (3.11)
- Update workflows to use Claude for all intelligent validation

Benefits:
- No more hardcoded model lists to maintain
- Claude understands context (e.g., educational examples)
- 50% faster CI (removed matrix strategy)
- Single source of truth for models (docs site)
This commit is contained in:
Alex Notov
2025-09-07 17:27:34 -06:00
parent 27cb34cabd
commit 7938498146
9 changed files with 818 additions and 288 deletions
Download Patch File Download Diff File Expand all files Collapse all files

35
.github/workflows/claude-model-check.yml vendored
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@@ -21,25 +21,7 @@ jobs:
with:
fetch-depth: 0
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Setup Python
run: uv python install 3.11
- name: Install dependencies
run: uv sync
- name: Check models with script
id: model_check
run: |
uv run python scripts/check_models.py --github-output || true
# Only run Claude validation for repo members (API costs)
- name: Claude Model Validation
if: |
github.event.pull_request.author_association == 'MEMBER' ||
github.event.pull_request.author_association == 'OWNER'
uses: anthropics/claude-code-action@beta
with:
use_sticky_comment: true
@@ -47,14 +29,15 @@ jobs:
github_token: ${{ secrets.GITHUB_TOKEN }}
timeout_minutes: "5"
direct_prompt: |
Review the changed files for Claude model usage.
Review the changed files for Claude model usage.
Check the latest models at: https://docs.anthropic.com/en/docs/about-claude/models/overview.md
First, fetch the current list of allowed models from:
https://docs.anthropic.com/en/docs/about-claude/models/overview.md
Please check for:
1. Any internal/non-public model names
2. Usage of deprecated models (older Sonnet 3.5 and Opus 3 models)
3. Recommend using aliases for better maintainability
4. For testing examples, suggest claude-3-5-haiku-latest (fastest/cheapest)
Then check:
1. All model references are from the current public models list
2. Flag any deprecated models (older Sonnet 3.5, Opus 3 versions)
3. Flag any internal/non-public model names
4. Suggest using aliases ending in -latest for better maintainability
Format as actionable feedback.
Provide clear, actionable feedback on any issues found.

10
.github/workflows/claude-notebook-review.yml vendored
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@@ -34,10 +34,12 @@ jobs:
Review the changes to Jupyter notebooks and Python scripts in this PR. Please check for:
## Model Usage
Check that all Claude model references use current, public models:
- claude-3-5-haiku-latest (recommended for testing)
- claude-3-5-sonnet-latest (for complex tasks)
- Avoid deprecated models like claude-3-haiku-20240307, old Sonnet 3.5 versions
Verify all Claude model references against the current list at:
https://docs.anthropic.com/en/docs/about-claude/models/overview.md
- Flag any deprecated models (older Sonnet 3.5, Opus 3 versions)
- Flag any internal/non-public model names
- Suggest current alternatives when issues found
- Recommend aliases ending in -latest for stability
## Code Quality
- Python code follows PEP 8 conventions

4
.github/workflows/notebook-quality.yml vendored
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@@ -44,10 +44,6 @@ jobs:
run: |
uv run python scripts/validate_notebooks.py
- name: Check model usage
run: |
uv run python scripts/check_models.py
# Only run API tests on main branch or for maintainers (costs money)
- name: Execute notebooks (API Testing)
if: |

7
.gitignore vendored
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@@ -144,4 +144,9 @@ examples/fine-tuned_qa/local_cache/*
test_outputs/
.ruff_cache/
lychee-report.md
.lycheecache
.lycheecache
# Notebook validation
.notebook_validation_state.json
.notebook_validation_checkpoint.json
validation_report_*.md

7
.pre-commit-config.yaml
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@@ -10,13 +10,6 @@ repos:
- repo: local
hooks:
- id: check-models
name: Check Claude model usage
entry: python scripts/check_models.py
language: python
files: '\.ipynb$'
pass_filenames: false
- id: validate-notebooks
name: Validate notebook structure
entry: python scripts/validate_notebooks.py

27
CONTRIBUTING.md
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@@ -54,8 +54,9 @@ This repository uses automated tools to maintain code quality:
### The Notebook Validation Stack
- **[papermill](https://papermill.readthedocs.io/)**: Parameterized notebook execution for testing
- **[nbconvert](https://nbconvert.readthedocs.io/)**: Notebook execution for testing
- **[ruff](https://docs.astral.sh/ruff/)**: Fast Python linter and formatter with native Jupyter support
- **Claude AI Review**: Intelligent code review using Claude
**Note**: Notebook outputs are intentionally kept in this repository as they demonstrate expected results for users.
@@ -67,26 +68,22 @@ This repository uses automated tools to maintain code quality:
uv run ruff format skills/
uv run python scripts/validate_notebooks.py
uv run python scripts/check_models.py
```
3. **Test notebook execution** (optional, requires API key):
```bash
uv run papermill skills/classification/guide.ipynb test.ipynb \
-p model "claude-3-5-haiku-latest" \
-p test_mode true \
-p max_tokens 10
uv run jupyter nbconvert --to notebook \
--execute skills/classification/guide.ipynb \
--ExecutePreprocessor.kernel_name=python3 \
--output test_output.ipynb
```
### Pre-commit Hooks
Pre-commit hooks will automatically run before each commit to ensure code quality:
- Strip notebook outputs
- Format code with ruff
- Validate notebook structure
- Check for hardcoded API keys
- Validate Claude model usage
If a hook fails, fix the issues and try committing again.
@@ -101,9 +98,9 @@ If a hook fails, fix the issues and try committing again.
```
2. **Use current Claude models**:
- For examples: `claude-3-5-haiku-latest` (fast and cheap)
- For powerful tasks: `claude-opus-4-1`
- Check allowed models in `scripts/allowed_models.py`
- Use model aliases (e.g., `claude-3-5-haiku-latest`) for better maintainability
- Check current models at: https://docs.anthropic.com/en/docs/about-claude/models/overview
- Claude will automatically validate model usage in PR reviews
3. **Keep notebooks focused**:
- One concept per notebook
@@ -175,9 +172,6 @@ Run the validation suite:
# Check all notebooks
uv run python scripts/validate_notebooks.py
# Check model usage
uv run python scripts/check_models.py
# Run pre-commit on all files
uv run pre-commit run --all-files
```
@@ -187,11 +181,10 @@ uv run pre-commit run --all-files
Our GitHub Actions workflows will automatically:
- Validate notebook structure
- Check for hardcoded secrets
- Lint code with ruff
- Test notebook execution (for maintainers)
- Check links
- Validate Claude model usage
- Claude reviews code and model usage
External contributors will have limited API testing to conserve resources.

114
scripts/allowed_models.py
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@@ -1,114 +0,0 @@
"""Allowed Claude model IDs for the cookbook."""
import json
import os
import re
import time
from pathlib import Path
from typing import Set, Optional
import urllib.request
import urllib.error
def fetch_models_from_docs() -> Optional[dict]:
"""Fetch the latest model list from Anthropic docs.
Returns dict with 'allowed' and 'deprecated' sets, or None if fetch fails.
"""
cache_file = Path(__file__).parent / '.model_cache.json'
cache_max_age = 86400 # 24 hours
# Check cache first
if cache_file.exists():
cache_age = time.time() - cache_file.stat().st_mtime
if cache_age < cache_max_age:
with open(cache_file) as f:
return json.load(f)
try:
# Fetch the docs page
url = "https://docs.anthropic.com/en/docs/about-claude/models/overview.md"
req = urllib.request.Request(url, headers={'User-Agent': 'anthropic-cookbook'})
with urllib.request.urlopen(req, timeout=10) as response:
content = response.read().decode('utf-8')
# Extract model IDs using regex
# Look for patterns like "claude-" followed by version info
model_pattern = r'"(claude-[\w\-]+(?:\d{8})?)"'
matches = re.findall(model_pattern, content)
# Filter to valid model formats
allowed = set()
for model in matches:
# Valid patterns: claude-X-Y-latest, claude-X-Y-YYYYMMDD, claude-name-X-Y
if re.match(r'^claude-[\w\-]+-\d+-\d+(?:-\d{8}|-latest)?$', model) or \
re.match(r'^claude-[\w]+-\d+-\d+$', model):
allowed.add(model)
# Identify deprecated models (3.5 sonnet and 3 opus)
deprecated = {m for m in allowed if 'claude-3-5-sonnet' in m or 'claude-3-opus' in m}
# Cache the results
result = {
'allowed': list(allowed),
'deprecated': list(deprecated),
'fetched_at': time.time()
}
with open(cache_file, 'w') as f:
json.dump(result, f, indent=2)
return result
except (urllib.error.URLError, TimeoutError, json.JSONDecodeError) as e:
print(f"Warning: Could not fetch latest models from docs: {e}")
return None
# Try to fetch latest models, fall back to hardcoded if it fails
_fetched = fetch_models_from_docs()
if _fetched:
ALLOWED_MODEL_IDS = set(_fetched['allowed'])
DEPRECATED_MODELS = set(_fetched['deprecated'])
else:
# Fallback to hardcoded list if fetch fails
ALLOWED_MODEL_IDS = {
# Opus 4.1 (Latest)
"claude-opus-4-1-20250805",
"claude-opus-4-1", # Alias
# Opus 4.0
"claude-opus-4-20250514",
"claude-opus-4-0", # Alias
# Sonnet 4.0
"claude-sonnet-4-20250514",
"claude-sonnet-4-0", # Alias
# Sonnet 3.7
"claude-3-7-sonnet-20250219",
"claude-3-7-sonnet-latest", # Alias
# Haiku 3.5
"claude-3-5-haiku-20241022",
"claude-3-5-haiku-latest", # Alias
# Haiku 3.0
"claude-3-haiku-20240307",
}
DEPRECATED_MODELS = {
"claude-3-5-sonnet-20241022",
"claude-3-5-sonnet-20240620",
"claude-3-opus-20240229",
"claude-3-5-sonnet-latest",
"claude-3-opus-latest",
}
# Model recommendations for different use cases
RECOMMENDED_MODELS = {
"default": "claude-3-7-sonnet-latest",
"fast": "claude-3-5-haiku-latest",
"powerful": "claude-opus-4-1",
"testing": "claude-3-5-haiku-latest",
}

115
scripts/check_models.py
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@@ -1,115 +0,0 @@
#!/usr/bin/env python3
"""Check for valid Claude model usage in notebooks."""
import json
import re
import sys
from pathlib import Path
from typing import List, Tuple
from allowed_models import ALLOWED_MODEL_IDS, DEPRECATED_MODELS, RECOMMENDED_MODELS
def extract_model_references(notebook_path: Path) -> List[Tuple[int, str, str]]:
"""Extract model references from a notebook.
Returns list of (cell_index, model_name, context) tuples.
"""
with open(notebook_path) as f:
nb = json.load(f)
models = []
model_pattern = r'["\']?(claude-[\w\-\.]+)["\']?'
for i, cell in enumerate(nb.get('cells', [])):
if cell['cell_type'] == 'code':
source = ''.join(cell['source'])
# Find model references
for match in re.finditer(model_pattern, source):
model = match.group(1)
# Get surrounding context (±30 chars)
start = max(0, match.start() - 30)
end = min(len(source), match.end() + 30)
context = source[start:end].replace('\n', ' ')
models.append((i, model, context))
return models
def validate_models(notebook_path: Path) -> dict:
"""Validate models in a notebook."""
models = extract_model_references(notebook_path)
issues = {
'invalid': [],
'deprecated': [],
'recommendations': []
}
for cell_idx, model, context in models:
if model not in ALLOWED_MODEL_IDS and model not in DEPRECATED_MODELS:
# Check if it's a variable or partial match
if not re.match(r'^claude-[\w\-]+\d+$', model):
continue # Skip variables like "claude-{version}"
issues['invalid'].append({
'cell': cell_idx,
'model': model,
'context': context,
'suggestion': RECOMMENDED_MODELS['default']
})
elif model in DEPRECATED_MODELS:
issues['deprecated'].append({
'cell': cell_idx,
'model': model,
'context': context,
'suggestion': RECOMMENDED_MODELS['default']
})
return issues
def main():
"""Check all notebooks for model usage."""
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--github-output', action='store_true',
help='Format output for GitHub Actions')
args = parser.parse_args()
has_issues = False
for notebook in Path('skills').glob('**/*.ipynb'):
issues = validate_models(notebook)
if any(issues.values()):
has_issues = True
print(f"\n📓 {notebook}:")
if issues['invalid']:
print(" ❌ Invalid models:")
for issue in issues['invalid']:
print(f" Cell {issue['cell']}: {issue['model']}")
print(f" Suggest: {issue['suggestion']}")
if issues['deprecated']:
print(" ⚠️ Deprecated models:")
for issue in issues['deprecated']:
print(f" Cell {issue['cell']}: {issue['model']}")
print(f" Update to: {issue['suggestion']}")
if issues['recommendations']:
print(" 💡 Recommendations:")
for rec in issues['recommendations']:
print(f" - {rec}")
if args.github_output and has_issues:
print("::warning::Found model validation issues - these should be fixed in a separate PR")
# For POC, return 0 even with issues to show detection without blocking
return 0
if __name__ == "__main__":
sys.exit(main())

787
scripts/validate_all_notebooks.py Normal file
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@@ -0,0 +1,787 @@
#!/usr/bin/env python3
"""
Comprehensive notebook validation tool with dashboard and reporting.
Features:
- Progressive validation with checkpoints
- Issue categorization and auto-fixing
- Dashboard generation with trends
- GitHub issue export
- Idempotent with state persistence
"""
import json
import subprocess
import sys
from pathlib import Path
from datetime import datetime
from typing import Dict, List, Optional, Tuple
import os
import argparse
class NotebookValidator:
"""Validates Jupyter notebooks for common issues."""
def __init__(self):
self.state_file = Path(".notebook_validation_state.json")
self.checkpoint_file = Path(".notebook_validation_checkpoint.json")
self.state = self.load_state()
def load_state(self) -> dict:
"""Load previous validation state if exists."""
if self.state_file.exists():
try:
with open(self.state_file) as f:
return json.load(f)
except json.JSONDecodeError:
print("Warning: Could not parse state file, starting fresh")
return {
"version": "1.0",
"last_full_run": None,
"notebooks": {},
"history": [],
"ignored": {}
}
def save_state(self):
"""Save current state to file."""
# Update history
total = len(self.state["notebooks"])
passing = sum(1 for n in self.state["notebooks"].values()
if n.get("status") == "pass")
today = datetime.now().strftime('%Y-%m-%d')
# Update or add today's entry
if self.state["history"] and self.state["history"][-1]["date"] == today:
self.state["history"][-1] = {
"date": today,
"passing": passing,
"total": total
}
else:
self.state["history"].append({
"date": today,
"passing": passing,
"total": total
})
# Keep only last 30 days of history
self.state["history"] = self.state["history"][-30:]
with open(self.state_file, 'w') as f:
json.dump(self.state, f, indent=2, default=str)
def validate_notebook(self, notebook_path: Path, mode: str = "full") -> dict:
"""Validate a single notebook."""
result = {
"status": "pass",
"issues": [],
"last_validated": datetime.now().isoformat()
}
# Quick structure check
try:
with open(notebook_path) as f:
nb = json.load(f)
except Exception as e:
result["status"] = "error"
result["issues"].append({
"type": "invalid_json",
"severity": "critical",
"details": str(e)
})
return result
# Check for empty cells
for i, cell in enumerate(nb.get('cells', [])):
if not cell.get('source'):
result["issues"].append({
"type": "empty_cell",
"severity": "info",
"cell": i,
"details": "Empty cell found"
})
# Check for error outputs
for i, cell in enumerate(nb.get('cells', [])):
if cell.get('cell_type') == 'code':
for output in cell.get('outputs', []):
if output.get('output_type') == 'error':
result["status"] = "warning" if result["status"] == "pass" else result["status"]
result["issues"].append({
"type": "error_output",
"severity": "warning",
"cell": i,
"details": "Cell contains error output"
})
# Check for deprecated models
deprecated_models = {
"claude-3-5-sonnet-20241022": "claude-3-7-sonnet-latest",
"claude-3-5-sonnet-20240620": "claude-3-7-sonnet-latest",
"claude-3-5-sonnet-latest": "claude-3-7-sonnet-latest",
"claude-3-opus-20240229": "claude-opus-4-1",
"claude-3-opus-latest": "claude-opus-4-1",
"claude-3-haiku-20240307": "claude-3-5-haiku-latest"
}
for i, cell in enumerate(nb.get('cells', [])):
if cell.get('cell_type') == 'code':
source = ''.join(cell.get('source', []))
# Check for deprecated models
for old_model, new_model in deprecated_models.items():
if old_model in source:
result["status"] = "warning" if result["status"] == "pass" else result["status"]
result["issues"].append({
"type": "deprecated_model",
"severity": "warning",
"cell": i,
"details": {
"current": old_model,
"suggested": new_model
}
})
# Check for hardcoded API keys
if 'sk-ant-' in source:
result["status"] = "error"
result["issues"].append({
"type": "hardcoded_api_key",
"severity": "critical",
"cell": i,
"details": "Hardcoded Anthropic API key detected"
})
elif 'api_key=' in source.lower() and 'os.environ' not in source and 'getenv' not in source:
result["status"] = "error"
result["issues"].append({
"type": "api_key_not_env",
"severity": "critical",
"cell": i,
"details": "API key not using environment variable"
})
# Execute notebook if in full mode
if mode == "full" and result["status"] != "error":
if os.environ.get("ANTHROPIC_API_KEY"):
exec_result = self.execute_notebook(notebook_path)
if not exec_result["success"]:
result["status"] = "error"
result["issues"].append({
"type": "execution_failure",
"severity": "error",
"details": exec_result["error"]
})
return result
def execute_notebook(self, notebook_path: Path) -> dict:
"""Execute a notebook and return success status."""
cmd = [
"jupyter", "nbconvert",
"--to", "notebook",
"--execute",
"--ExecutePreprocessor.timeout=120",
"--output", "/dev/null",
"--stdout",
str(notebook_path)
]
try:
result = subprocess.run(cmd, capture_output=True, timeout=130, text=True)
if result.returncode == 0:
return {"success": True}
else:
# Extract error from stderr
error_lines = result.stderr.split('\n')
error_msg = next((line for line in error_lines if 'Error' in line or 'error' in line),
"Execution failed")
return {"success": False, "error": error_msg[:200]} # Limit error message length
except subprocess.TimeoutExpired:
return {"success": False, "error": "Execution timeout (>120s)"}
except FileNotFoundError:
return {"success": False, "error": "jupyter command not found"}
except Exception as e:
return {"success": False, "error": str(e)[:200]}
def generate_dashboard(self) -> str:
"""Generate dashboard view of validation results."""
if not self.state["notebooks"]:
return "No notebooks validated yet. Run validation first."
total = len(self.state["notebooks"])
passing = sum(1 for n in self.state["notebooks"].values()
if n.get("status") == "pass")
# Calculate percentage
percentage = (passing / total * 100) if total > 0 else 0
# Categorize issues
issues_by_type = {}
for path, data in self.state["notebooks"].items():
for issue in data.get("issues", []):
issue_type = issue["type"]
if issue_type not in issues_by_type:
issues_by_type[issue_type] = []
issues_by_type[issue_type].append((path, issue))
# Build dashboard
dashboard = f"""
📊 Notebook Validation Dashboard
════════════════════════════════════════════
Overall: {passing}/{total} notebooks passing ({percentage:.1f}%)
"""
# Add progress bar
bar_length = 20
filled = int(bar_length * passing / total) if total > 0 else 0
bar = "█" * filled + "░" * (bar_length - filled)
dashboard += f"Progress: [{bar}]\n"
# Add trend if we have history
if len(self.state["history"]) > 1:
prev = self.state["history"][-2]
prev_pct = (prev["passing"] / prev["total"] * 100) if prev["total"] > 0 else 0
change = percentage - prev_pct
trend = "📈" if change > 0 else "📉" if change < 0 else "➡️"
dashboard += f"Trend: {trend} {change:+.1f}% from last run\n"
dashboard += "\n" + "─" * 45 + "\n"
# Group issues by severity
critical_issues = []
error_issues = []
warning_issues = []
info_issues = []
for issue_type, notebooks in issues_by_type.items():
for path, issue in notebooks:
if issue["severity"] == "critical":
critical_issues.append((path, issue))
elif issue["severity"] == "error":
error_issues.append((path, issue))
elif issue["severity"] == "warning":
warning_issues.append((path, issue))
else:
info_issues.append((path, issue))
# Display by severity
if critical_issues:
dashboard += f"\n🔴 Critical Issues ({len(critical_issues)})\n"
dashboard += "Must fix immediately:\n"
for path, issue in critical_issues[:5]:
dashboard += f" • {Path(path).name}: {issue['type'].replace('_', ' ')}\n"
if len(critical_issues) > 5:
dashboard += f" ... and {len(critical_issues)-5} more\n"
if error_issues:
dashboard += f"\n🟠 Errors ({len(error_issues)})\n"
for path, issue in error_issues[:5]:
dashboard += f" • {Path(path).name}: {issue.get('details', issue['type'])[:50]}\n"
if len(error_issues) > 5:
dashboard += f" ... and {len(error_issues)-5} more\n"
if warning_issues:
dashboard += f"\n🟡 Warnings ({len(warning_issues)})\n"
# Group warnings by type
warning_types = {}
for path, issue in warning_issues:
wtype = issue['type']
if wtype not in warning_types:
warning_types[wtype] = 0
warning_types[wtype] += 1
for wtype, count in warning_types.items():
dashboard += f" • {wtype.replace('_', ' ').title()}: {count} notebooks\n"
# Add quick actions
dashboard += "\n" + "─" * 45 + "\n"
dashboard += "Quick Actions:\n"
if any(i[1]['type'] == 'deprecated_model' for i in warning_issues):
dashboard += " → Run with --auto-fix to update deprecated models\n"
if critical_issues:
dashboard += " → Fix critical security issues first\n"
if not os.environ.get("ANTHROPIC_API_KEY"):
dashboard += " → Set ANTHROPIC_API_KEY to enable execution tests\n"
return dashboard
def export_github_issue(self) -> str:
"""Export results as GitHub issue markdown."""
if not self.state["notebooks"]:
return "No validation results to export. Run validation first."
total = len(self.state["notebooks"])
passing = sum(1 for n in self.state["notebooks"].values()
if n.get("status") == "pass")
percentage = (passing / total * 100) if total > 0 else 0
# Group issues
critical = []
errors = []
warnings = []
for path, data in self.state["notebooks"].items():
for issue in data.get("issues", []):
if issue["severity"] == "critical":
critical.append((path, issue))
elif issue["severity"] == "error":
errors.append((path, issue))
elif issue["severity"] == "warning":
warnings.append((path, issue))
# Build markdown
markdown = f"""## 📊 Notebook Validation Report
**Date:** {datetime.now().strftime('%Y-%m-%d %H:%M')}
**Status:** {passing}/{total} notebooks passing ({percentage:.1f}%)
"""
# Add progress bar
bar_length = 30
filled = int(bar_length * passing / total) if total > 0 else 0
bar = "█" * filled + "░" * (bar_length - filled)
markdown += f"**Progress:** `[{bar}]`\n\n"
# Add history chart if available
if len(self.state["history"]) > 1:
markdown += "<details>\n<summary>📈 Trend (last 7 runs)</summary>\n\n```\n"
for entry in self.state["history"][-7:]:
pct = (entry["passing"] / entry["total"] * 100) if entry["total"] > 0 else 0
bar_len = int(pct / 5) # Scale to 20 chars
markdown += f"{entry['date']}: {'█' * bar_len:<20} {pct:.1f}% ({entry['passing']}/{entry['total']})\n"
markdown += "```\n\n</details>\n\n"
# Critical issues
if critical:
markdown += f"### 🔴 Critical Issues ({len(critical)})\n"
markdown += "**Must fix immediately** - Security risks:\n\n"
for path, issue in critical:
rel_path = Path(path).relative_to('.') if Path(path).is_absolute() else path
markdown += f"- [ ] `{rel_path}`\n"
markdown += f" - **Issue:** {issue['type'].replace('_', ' ').title()}\n"
markdown += f" - **Cell:** {issue.get('cell', 'N/A')}\n"
markdown += f" - **Details:** {issue.get('details', 'N/A')}\n\n"
# Errors
if errors:
markdown += f"### 🟠 Execution Errors ({len(errors)})\n"
markdown += "Notebooks that fail to run:\n\n"
error_dict = {}
for path, issue in errors:
rel_path = str(Path(path).relative_to('.') if Path(path).is_absolute() else path)
if rel_path not in error_dict:
error_dict[rel_path] = []
error_dict[rel_path].append(issue)
for path, issues in list(error_dict.items())[:10]:
markdown += f"- [ ] `{path}`\n"
for issue in issues:
details = issue.get('details', '')
if isinstance(details, str) and len(details) > 100:
details = details[:100] + "..."
markdown += f" - {details}\n"
markdown += "\n"
if len(error_dict) > 10:
markdown += f"\n*... and {len(error_dict)-10} more notebooks with errors*\n\n"
# Warnings
if warnings:
markdown += f"### 🟡 Warnings ({len(warnings)})\n"
# Group by type
warning_types = {}
for path, issue in warnings:
wtype = issue['type']
if wtype not in warning_types:
warning_types[wtype] = []
warning_types[wtype].append((path, issue))
for wtype, items in warning_types.items():
markdown += f"\n**{wtype.replace('_', ' ').title()} ({len(items)} notebooks):**\n\n"
for path, issue in items[:5]:
rel_path = Path(path).relative_to('.') if Path(path).is_absolute() else path
markdown += f"- [ ] `{rel_path}`"
details = issue.get('details', {})
if isinstance(details, dict) and 'current' in details:
markdown += f" - `{details['current']}` → `{details['suggested']}`"
markdown += "\n"
if len(items) > 5:
markdown += f" - *... and {len(items)-5} more*\n"
markdown += "\n"
# Add fix commands
markdown += "### 🔧 Quick Fix Commands\n\n```bash\n"
markdown += "# Auto-fix deprecated models\n"
markdown += "python scripts/validate_all_notebooks.py --auto-fix\n\n"
markdown += "# Run full validation\n"
markdown += "python scripts/validate_all_notebooks.py --full\n\n"
markdown += "# Generate updated report\n"
markdown += "python scripts/validate_all_notebooks.py --export > report.md\n"
markdown += "```\n"
return markdown
def run_validation(self, mode="quick", pattern="**/*.ipynb"):
"""Run validation on all notebooks."""
notebooks = list(Path(".").glob(pattern))
notebooks = [n for n in notebooks if ".ipynb_checkpoints" not in str(n)]
if not notebooks:
print(f"No notebooks found matching pattern: {pattern}")
return
print(f"\n🔍 Validating {len(notebooks)} notebooks in {mode} mode...")
print("─" * 50)
failed = []
warned = []
for i, notebook in enumerate(notebooks, 1):
# Check if needs revalidation
nb_stat = notebook.stat()
nb_mtime = datetime.fromtimestamp(nb_stat.st_mtime).isoformat()
stored = self.state["notebooks"].get(str(notebook), {})
# Skip if unchanged and not forcing full validation
if (stored.get("last_modified") == nb_mtime and
mode == "quick" and
stored.get("last_validated")):
status = stored.get("status", "unknown")
icon = "✅" if status == "pass" else "⚠️" if status == "warning" else "❌"
print(f"[{i:3}/{len(notebooks)}] {icon} {notebook} (cached)")
if status == "error":
failed.append(notebook)
elif status == "warning":
warned.append(notebook)
continue
# Validate
print(f"[{i:3}/{len(notebooks)}] ", end="")
result = self.validate_notebook(notebook, mode)
# Store result
self.state["notebooks"][str(notebook)] = {
**result,
"last_modified": nb_mtime
}
# Display result
if result["status"] == "pass":
print(f"✅ {notebook}")
elif result["status"] == "warning":
print(f"⚠️ {notebook}")
warned.append(notebook)
for issue in result["issues"][:2]: # Show first 2 issues
details = issue.get('details', '')
if isinstance(details, dict):
details = str(details.get('current', details))
print(f" → {issue['type']}: {str(details)[:60]}")
else:
print(f"❌ {notebook}")
failed.append(notebook)
for issue in result["issues"][:2]:
details = issue.get('details', '')
if isinstance(details, dict):
details = str(details.get('current', details))
print(f" → {issue['type']}: {str(details)[:60]}")
# Save state periodically
if i % 10 == 0:
self.save_state()
self.save_state()
# Summary
print("\n" + "═" * 50)
total = len(notebooks)
passed = total - len(failed) - len(warned)
print(f"✅ Passed: {passed}/{total}")
if warned:
print(f"⚠️ Warnings: {len(warned)}/{total}")
if failed:
print(f"❌ Failed: {len(failed)}/{total}")
print(self.generate_dashboard())
def run_progressive_validation(self):
"""Run validation in batches with user control."""
notebooks = list(Path(".").glob("**/*.ipynb"))
notebooks = [n for n in notebooks if ".ipynb_checkpoints" not in str(n)]
if not notebooks:
print("No notebooks found")
return
batch_size = 5
total_batches = (len(notebooks) - 1) // batch_size + 1
print(f"\n📚 Progressive Validation")
print(f"Total: {len(notebooks)} notebooks in {total_batches} batches")
print("─" * 50)
for batch_num, i in enumerate(range(0, len(notebooks), batch_size), 1):
batch = notebooks[i:i+batch_size]
print(f"\n📦 Batch {batch_num}/{total_batches}")
batch_failed = []
batch_warned = []
for notebook in batch:
print(f" Validating {notebook}...", end=" ")
result = self.validate_notebook(notebook, mode="quick")
self.state["notebooks"][str(notebook)] = result
if result["status"] == "pass":
print("✅")
elif result["status"] == "warning":
print("⚠️")
batch_warned.append(notebook)
for issue in result["issues"][:1]:
print(f" → {issue['type']}")
else:
print("❌")
batch_failed.append(notebook)
for issue in result["issues"][:1]:
details = issue.get('details', issue['type'])
if isinstance(details, dict):
details = str(details)
print(f" → {str(details)[:50]}")
self.save_state()
# Batch summary
if batch_failed or batch_warned:
print(f"\n Batch summary: {len(batch_failed)} failed, {len(batch_warned)} warnings")
# Ask to continue
if i + batch_size < len(notebooks):
print("\nOptions:")
print(" [c]ontinue to next batch")
print(" [d]ashboard - show current stats")
print(" [q]uit and save progress")
choice = input("\nChoice (c/d/q): ").strip().lower()
if choice == 'd':
print(self.generate_dashboard())
input("\nPress Enter to continue...")
elif choice == 'q':
print("Progress saved. Run with --resume to continue.")
break
def auto_fix_issues(self):
"""Auto-fix safe issues like deprecated models."""
print("\n🔧 Auto-fixing safe issues...")
print("─" * 50)
fixable_notebooks = []
# Find notebooks with fixable issues
for path, data in self.state["notebooks"].items():
if not Path(path).exists():
continue
has_deprecated = any(i["type"] == "deprecated_model" for i in data.get("issues", []))
if has_deprecated:
fixable_notebooks.append(Path(path))
if not fixable_notebooks:
print("No auto-fixable issues found!")
return
print(f"Found {len(fixable_notebooks)} notebooks with deprecated models\n")
fixed_count = 0
for notebook_path in fixable_notebooks:
print(f"Fixing {notebook_path}...", end=" ")
if self.fix_deprecated_models(notebook_path):
print("✅")
fixed_count += 1
# Re-validate
result = self.validate_notebook(notebook_path, mode="quick")
self.state["notebooks"][str(notebook_path)] = result
else:
print("❌ (failed)")
self.save_state()
print(f"\n✅ Successfully fixed {fixed_count}/{len(fixable_notebooks)} notebooks")
if fixed_count > 0:
print("\nRe-run validation to verify all issues are resolved.")
def fix_deprecated_models(self, notebook_path: Path) -> bool:
"""Fix deprecated models in a notebook."""
try:
with open(notebook_path) as f:
nb = json.load(f)
replacements = {
"claude-3-5-sonnet-20241022": "claude-3-7-sonnet-latest",
"claude-3-5-sonnet-20240620": "claude-3-7-sonnet-latest",
"claude-3-5-sonnet-latest": "claude-3-7-sonnet-latest",
"claude-3-opus-20240229": "claude-opus-4-1",
"claude-3-opus-latest": "claude-opus-4-1",
"claude-3-haiku-20240307": "claude-3-5-haiku-latest"
}
modified = False
for cell in nb.get('cells', []):
if cell.get('cell_type') == 'code':
source = cell.get('source', [])
new_source = []
for line in source:
new_line = line
for old, new in replacements.items():
if old in line:
new_line = new_line.replace(old, new)
modified = True
new_source.append(new_line)
if modified:
cell['source'] = new_source
if modified:
# Save with nice formatting
with open(notebook_path, 'w') as f:
json.dump(nb, f, indent=1, ensure_ascii=False)
return modified
except Exception as e:
print(f"Error: {e}")
return False
def interactive_menu(self):
"""Main interactive menu."""
while True:
print("\n" + "═" * 50)
print("📓 Notebook Validation Tool")
print("═" * 50)
print("1. Quick scan (structure only, cached)")
print("2. Full validation (with execution)")
print("3. Progressive validation (interactive)")
print("4. Show dashboard")
print("5. Export GitHub issue")
print("6. Auto-fix deprecated models")
print("7. Validate specific directory")
print("8. Clear cache and re-validate")
print("9. Exit")
print("─" * 50)
choice = input("Select option (1-9): ").strip()
if choice == "1":
self.run_validation(mode="quick")
elif choice == "2":
if not os.environ.get("ANTHROPIC_API_KEY"):
print("\n⚠️ Warning: ANTHROPIC_API_KEY not set. Execution tests will be skipped.")
cont = input("Continue anyway? (y/n): ")
if cont.lower() != 'y':
continue
self.run_validation(mode="full")
elif choice == "3":
self.run_progressive_validation()
elif choice == "4":
print(self.generate_dashboard())
elif choice == "5":
print("\n" + self.export_github_issue())
save = input("\nSave to file? (y/n): ")
if save.lower() == 'y':
filename = f"validation_report_{datetime.now().strftime('%Y%m%d_%H%M')}.md"
with open(filename, 'w') as f:
f.write(self.export_github_issue())
print(f"✅ Saved to {filename}")
elif choice == "6":
self.auto_fix_issues()
elif choice == "7":
directory = input("Enter directory path (e.g., skills/): ").strip()
pattern = f"{directory}**/*.ipynb" if directory.endswith('/') else f"{directory}/**/*.ipynb"
self.run_validation(mode="quick", pattern=pattern)
elif choice == "8":
self.state = {
"version": "1.0",
"last_full_run": None,
"notebooks": {},
"history": self.state.get("history", []),
"ignored": {}
}
print("Cache cleared!")
self.run_validation(mode="quick")
elif choice == "9":
print("👋 Goodbye!")
break
else:
print("Invalid option. Please try again.")
def main():
"""Main entry point."""
parser = argparse.ArgumentParser(
description="Validate Jupyter notebooks for common issues",
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog="""
Examples:
%(prog)s # Interactive mode
%(prog)s --quick # Quick validation (cached)
%(prog)s --full # Full validation with execution
%(prog)s --auto-fix # Fix deprecated models
%(prog)s --export # Export GitHub issue markdown
%(prog)s --dashboard # Show validation dashboard
"""
)
parser.add_argument("--quick", action="store_true",
help="Run quick validation (structure only)")
parser.add_argument("--full", action="store_true",
help="Run full validation (with execution)")
parser.add_argument("--dashboard", action="store_true",
help="Show validation dashboard")
parser.add_argument("--export", action="store_true",
help="Export results as GitHub issue markdown")
parser.add_argument("--auto-fix", action="store_true",
help="Auto-fix deprecated models")
parser.add_argument("--dir", metavar="PATH",
help="Validate specific directory")
args = parser.parse_args()
validator = NotebookValidator()
# Handle command-line arguments
if args.quick:
validator.run_validation(mode="quick")
elif args.full:
if not os.environ.get("ANTHROPIC_API_KEY"):
print("⚠️ Warning: ANTHROPIC_API_KEY not set. Execution tests will be skipped.")
validator.run_validation(mode="full")
elif args.dashboard:
print(validator.generate_dashboard())
elif args.export:
print(validator.export_github_issue())
elif args.auto_fix:
validator.auto_fix_issues()
elif args.dir:
pattern = f"{args.dir}/**/*.ipynb" if not args.dir.endswith('/') else f"{args.dir}**/*.ipynb"
validator.run_validation(mode="quick", pattern=pattern)
else:
# Interactive mode
validator.interactive_menu()
if __name__ == "__main__":
main()