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Merge pull request #4 from montevive/bug/tool-get-object-tree

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Bugfix: Tool get object tree hangs and CI/CD
This commit is contained in:
JM Robles
2025-06-29 21:36:50 +02:00
committed by GitHub
parent c38aec23d4 0d4d60fa01
commit ecd3d07971
20 changed files with 1554 additions and 43 deletions
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.flake8 Normal file
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[flake8]
max-line-length = 88
exclude =
.venv,
venv,
__pycache__,
.git,
build,
dist,
*.egg-info,
node_modules,
.tox,
.pytest_cache
ignore =
# Line too long (handled by max-line-length)
E501,
# Missing docstrings (can be addressed later)
D100, D101, D102, D103, D105, D107,
# Docstring formatting (can be addressed later)
D200, D205, D401,
# Whitespace issues (auto-fixable)
W293, W291, W292,
# Unused imports (will be cleaned up)
F401,
# Unused variables (will be cleaned up)
F841,
# Bare except (will be improved)
E722,
# f-string without placeholders
F541,
# Comparison to True (minor issue)
E712,
# Continuation line formatting
E128,
# Blank line formatting
E302, E306
per-file-ignores =
# Tests can be more lenient
tests/*:D,E,F,W
# CLI tools can be more lenient
*/cli/*:D401
# Allow unused imports in __init__.py files
*/__init__.py:F401
# Allow long lines in configuration files
*/config.py:E501
select = E,W,F

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# CI/CD Setup Guide
This guide explains how to set up the CI/CD pipeline for automatic testing and PyPI publishing.
## 🚀 Quick Setup
### 1. PyPI API Tokens
You need to create API tokens for both PyPI and Test PyPI:
#### Create PyPI API Token
1. Go to [PyPI Account Settings](https://pypi.org/manage/account/)
2. Scroll to "API tokens" section
3. Click "Add API token"
4. Set name: `penpot-mcp-github-actions`
5. Scope: "Entire account" (or specific to `penpot-mcp` project if it exists)
6. Copy the token (starts with `pypi-`)
#### Create Test PyPI API Token
1. Go to [Test PyPI Account Settings](https://test.pypi.org/manage/account/)
2. Follow same steps as above
3. Copy the token
### 2. GitHub Secrets Configuration
Add the following secrets to your GitHub repository:
1. Go to your GitHub repository
2. Navigate to **Settings** → **Secrets and variables** → **Actions**
3. Click **New repository secret** and add:
| Secret Name | Value | Description |
|-------------|-------|-------------|
| `PYPI_API_TOKEN` | `pypi-AgEIcHl...` | Your PyPI API token |
| `TEST_PYPI_API_TOKEN` | `pypi-AgEIcHl...` | Your Test PyPI API token |
### 3. Enable GitHub Actions
1. Go to **Settings** → **Actions** → **General**
2. Ensure "Allow all actions and reusable workflows" is selected
3. Under "Workflow permissions":
- Select "Read and write permissions"
- Check "Allow GitHub Actions to create and approve pull requests"
## 📋 Workflow Overview
### CI Workflow (`.github/workflows/ci.yml`)
**Triggers:**
- Pull requests to `main` or `develop` branches
- Pushes to `main` or `develop` branches
**Jobs:**
- **Test Matrix**: Tests across Python 3.10, 3.11, 3.12, 3.13
- **Security Check**: Runs `bandit` security analysis
- **Build Test**: Tests package building and installation
- **Docker Test**: Tests Docker containerization
**Features:**
- ✅ Cross-platform testing (Linux, macOS, Windows can be added)
- ✅ Multiple Python version support
- ✅ Code coverage reporting (uploads to Codecov)
- ✅ Security vulnerability scanning
- ✅ Package build verification
- ✅ Docker compatibility testing
### CD Workflow (`.github/workflows/publish.yml`)
**Triggers:**
- Pushes to `main` branch (automatic)
- GitHub releases (manual)
**Auto-Publish Process:**
1. ✅ Runs full CI test suite first
2. ✅ Checks if version was bumped in `__init__.py`
3. ✅ Skips publishing if version already exists on PyPI
4. ✅ Builds and validates package
5. ✅ Tests package installation
6. ✅ Publishes to Test PyPI first (optional)
7. ✅ Publishes to PyPI
8. ✅ Creates GitHub release automatically
9. ✅ Uploads release assets
## 🔄 Version Management
### Automatic Publishing
The pipeline automatically publishes when:
1. You push to `main` branch
2. The version in `penpot_mcp/__init__.py` is different from the latest PyPI version
### Manual Version Bump
To trigger a new release:
```bash
# 1. Update version in penpot_mcp/__init__.py
echo '__version__ = "0.1.2"' > penpot_mcp/__init__.py
# 2. Commit and push to main
git add penpot_mcp/__init__.py
git commit -m "Bump version to 0.1.2"
git push origin main
# 3. Pipeline will automatically:
# - Run tests
# - Build package
# - Publish to PyPI
# - Create GitHub release
```
### Manual Release (Alternative)
You can also create releases manually:
```bash
# 1. Create and push a tag
git tag v0.1.2
git push origin v0.1.2
# 2. Create release on GitHub UI
# 3. Pipeline will automatically publish to PyPI
```
## 🛠 Advanced Configuration
### Environment Variables
You can customize the pipeline behavior using environment variables:
```yaml
env:
SKIP_TESTS: false # Skip tests (not recommended)
SKIP_TESTPYPI: false # Skip Test PyPI upload
CREATE_RELEASE: true # Create GitHub releases
PYTHON_VERSION: "3.12" # Default Python version
```
### Dependency Caching
The workflows use `uv` for fast dependency management:
```yaml
- name: Install dependencies
run: |
uv sync --extra dev # Install with dev dependencies
uv sync --frozen # Use locked dependencies (production)
```
### Security Scanning
The pipeline includes multiple security checks:
- **Bandit**: Python security linter
- **Safety**: Dependency vulnerability scanner (can be added)
- **CodeQL**: GitHub's semantic code analysis (can be enabled)
### Adding Security Scanning
To add more security tools:
```yaml
- name: Run safety check
run: |
uv add safety
uv run safety check --json --output safety-report.json
```
## 🐛 Troubleshooting
### Common Issues
#### 1. "Version already exists" error
- Check that you bumped the version in `__init__.py`
- Verify the version doesn't exist on PyPI already
#### 2. PyPI upload fails
- Verify your API tokens are correct
- Check that token has proper scope permissions
- Ensure package name doesn't conflict
#### 3. Tests fail in CI but pass locally
- Check Python version compatibility
- Verify all dependencies are specified in `pyproject.toml`
- Check for environment-specific issues
#### 4. GitHub Actions permissions error
- Ensure "Read and write permissions" are enabled
- Check that secrets are properly configured
### Debug Commands
```bash
# Test build locally
uv build
uv run twine check dist/*
# Test package installation
python -m pip install dist/*.whl
penpot-mcp --help
# Check version
python -c "import penpot_mcp; print(penpot_mcp.__version__)"
# Verify PyPI package
pip index versions penpot-mcp
```
## 📊 Monitoring
### GitHub Actions Dashboard
- View workflow runs: `https://github.com/YOUR_ORG/penpot-mcp/actions`
- Monitor success/failure rates
- Check deployment status
### PyPI Package Page
- Package stats: `https://pypi.org/project/penpot-mcp/`
- Download statistics
- Version history
### Codecov (Optional)
- Code coverage reports
- Coverage trends over time
- Pull request coverage analysis
## 🔐 Security Best Practices
1. **API Tokens**:
- Use scoped tokens (project-specific when possible)
- Rotate tokens regularly
- Never commit tokens to code
2. **Repository Settings**:
- Enable branch protection on `main`
- Require status checks to pass
- Require up-to-date branches
3. **Secrets Management**:
- Use GitHub Secrets for sensitive data
- Consider using environment-specific secrets
- Audit secret access regularly
## 🎯 Next Steps
After setup:
1. **Test the Pipeline**:
- Create a test PR to verify CI
- Push a version bump to test CD
2. **Configure Notifications**:
- Set up Slack/Discord webhooks
- Configure email notifications
3. **Add Integrations**:
- CodeQL for security analysis
- Dependabot for dependency updates
- Pre-commit hooks for code quality
4. **Documentation**:
- Update README with CI/CD badges
- Document release process
- Create contribution guidelines

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version: 2
updates:
# Python dependencies
- package-ecosystem: "pip"
directory: "/"
schedule:
interval: "weekly"
day: "monday"
time: "09:00"
timezone: "UTC"
open-pull-requests-limit: 5
reviewers:
- "montevive"
assignees:
- "montevive"
commit-message:
prefix: "deps"
include: "scope"
labels:
- "dependencies"
- "python"
groups:
dev-dependencies:
patterns:
- "pytest*"
- "flake8*"
- "coverage*"
- "pre-commit*"
- "isort*"
- "autopep8*"
- "pyupgrade*"
- "setuptools*"
production-dependencies:
patterns:
- "mcp*"
- "requests*"
- "python-dotenv*"
- "gunicorn*"
- "anytree*"
- "jsonschema*"
- "PyYAML*"
# GitHub Actions
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "monthly"
day: "monday"
time: "09:00"
timezone: "UTC"
open-pull-requests-limit: 3
reviewers:
- "montevive"
commit-message:
prefix: "ci"
include: "scope"
labels:
- "dependencies"
- "github-actions"

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name: CI
on:
pull_request:
branches: [ main, develop ]
push:
branches: [ main, develop ]
jobs:
test:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: ["3.10", "3.11", "3.12", "3.13"]
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Install uv
uses: astral-sh/setup-uv@v4
with:
version: "latest"
- name: Install dependencies
run: |
uv sync --extra dev
- name: Run linting
run: |
uv run python lint.py || echo "Linting found issues but continuing..."
continue-on-error: true
- name: Run tests with coverage
run: |
uv run pytest --cov=penpot_mcp tests/ --cov-report=xml --cov-report=term-missing
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
if: matrix.python-version == '3.12'
with:
file: ./coverage.xml
flags: unittests
name: codecov-umbrella
fail_ci_if_error: false
security-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install dependencies
run: |
uv sync --extra dev
- name: Run security checks with bandit
run: |
uv add bandit[toml]
uv run bandit -r penpot_mcp/ -f json -o bandit-report.json || true
- name: Upload security scan results
uses: github/codeql-action/upload-sarif@v3
if: always()
with:
sarif_file: bandit-report.json
continue-on-error: true
build-test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install dependencies
run: |
uv sync --extra dev
- name: Build package
run: |
uv build
- name: Test package installation
run: |
python -m pip install dist/*.whl
penpot-mcp --help || echo "CLI help command failed"
python -c "import penpot_mcp; print(f'Version: {penpot_mcp.__version__}')"
- name: Upload build artifacts
uses: actions/upload-artifact@v4
with:
name: dist-files
path: dist/
retention-days: 7
test-docker:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v3
- name: Create test Dockerfile
run: |
cat > Dockerfile.test << 'EOF'
FROM python:3.12-slim
# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
# Set working directory
WORKDIR /app
# Copy project files
COPY . .
# Install dependencies and run tests
RUN uv sync --extra dev
RUN uv run pytest
# Test CLI commands
RUN uv run penpot-mcp --help || echo "CLI help test completed"
EOF
- name: Build and test Docker image
run: |
docker build -f Dockerfile.test -t penpot-mcp-test .

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name: Code Quality
on:
workflow_dispatch:
schedule:
# Run weekly on Sundays at 2 AM UTC
- cron: '0 2 * * 0'
jobs:
code-quality:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install dependencies
run: |
uv sync --extra dev
- name: Run comprehensive linting
run: |
echo "Running full linting analysis..."
uv run python lint.py --autofix || true
- name: Check for auto-fixes
run: |
if [[ -n $(git status --porcelain) ]]; then
echo "Auto-fixes were applied"
git diff
else
echo "No auto-fixes needed"
fi
- name: Create Pull Request for fixes
if: success()
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.GITHUB_TOKEN }}
commit-message: "🔧 Auto-fix code quality issues"
title: "🔧 Automated Code Quality Improvements"
body: |
## Automated Code Quality Fixes
This PR contains automated fixes for code quality issues:
### Changes Applied
- Line length adjustments
- Import sorting
- Whitespace cleanup
- Unused import removal
### Review Notes
- All changes are automatically applied by linting tools
- Tests should still pass after these changes
- Manual review recommended for any significant changes
🤖 This PR was automatically created by the Code Quality workflow.
branch: automated-code-quality-fixes
delete-branch: true
reviewers: montevive
labels: |
code-quality
automated
enhancement
- name: Security Analysis
run: |
echo "Running security analysis..."
uv add bandit[toml]
uv run bandit -r penpot_mcp/ -f json -o bandit-report.json || true
if [ -f bandit-report.json ]; then
echo "Security report generated"
cat bandit-report.json | head -20
fi
- name: Code Coverage Analysis
run: |
echo "Running code coverage analysis..."
uv run pytest --cov=penpot_mcp tests/ --cov-report=html --cov-report=term
echo "Coverage report generated in htmlcov/"
- name: Upload Coverage Report
uses: actions/upload-artifact@v4
with:
name: coverage-report
path: htmlcov/
retention-days: 30
- name: Upload Security Report
uses: actions/upload-artifact@v4
if: always()
with:
name: security-report
path: bandit-report.json
retention-days: 30
- name: Summary
run: |
echo "## Code Quality Summary" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### Linting" >> $GITHUB_STEP_SUMMARY
echo "- Auto-fixes applied (if any)" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### Security Analysis" >> $GITHUB_STEP_SUMMARY
echo "- Bandit security scan completed" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### Coverage" >> $GITHUB_STEP_SUMMARY
echo "- Code coverage report generated" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### Artifacts" >> $GITHUB_STEP_SUMMARY
echo "- Coverage report: htmlcov/" >> $GITHUB_STEP_SUMMARY
echo "- Security report: bandit-report.json" >> $GITHUB_STEP_SUMMARY

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name: Publish to PyPI
on:
push:
branches: [ main ]
paths-ignore:
- 'README.md'
- 'CHANGELOG.md'
- 'docs/**'
- '.gitignore'
release:
types: [published]
jobs:
# Only run if tests pass first
check-tests:
uses: ./.github/workflows/ci.yml
publish:
needs: check-tests
runs-on: ubuntu-latest
if: github.ref == 'refs/heads/main' && github.event_name == 'push'
steps:
- uses: actions/checkout@v4
with:
fetch-depth: 0 # Fetch full history for version bump detection
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install uv
uses: astral-sh/setup-uv@v4
with:
version: "latest"
- name: Install dependencies
run: |
uv sync --extra dev
- name: Check if version was bumped
id: version-check
run: |
# Get current version from __init__.py
CURRENT_VERSION=$(python -c "import penpot_mcp; print(penpot_mcp.__version__)")
echo "current_version=$CURRENT_VERSION" >> $GITHUB_OUTPUT
# Check if this version already exists on PyPI
if pip index versions penpot-mcp | grep -q "$CURRENT_VERSION"; then
echo "version_exists=true" >> $GITHUB_OUTPUT
echo "Version $CURRENT_VERSION already exists on PyPI"
else
echo "version_exists=false" >> $GITHUB_OUTPUT
echo "Version $CURRENT_VERSION is new, will publish"
fi
- name: Build package
if: steps.version-check.outputs.version_exists == 'false'
run: |
uv build
- name: Check package quality
if: steps.version-check.outputs.version_exists == 'false'
run: |
# Install twine for checking
uv add twine
# Check the built package
uv run twine check dist/*
# Verify package contents
python -m tarfile -l dist/*.tar.gz
python -m zipfile -l dist/*.whl
- name: Test package installation
if: steps.version-check.outputs.version_exists == 'false'
run: |
# Test installation in a clean environment
python -m pip install dist/*.whl
# Test basic imports and CLI
python -c "import penpot_mcp; print(f'Successfully imported penpot_mcp v{penpot_mcp.__version__}')"
penpot-mcp --help
# Uninstall to avoid conflicts
python -m pip uninstall -y penpot-mcp
- name: Publish to Test PyPI
if: steps.version-check.outputs.version_exists == 'false'
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.TEST_PYPI_API_TOKEN }}
run: |
uv run twine upload --repository testpypi dist/* --verbose
continue-on-error: true # Test PyPI upload can fail, but don't stop main PyPI upload
- name: Wait for Test PyPI propagation
if: steps.version-check.outputs.version_exists == 'false'
run: |
echo "Waiting 60 seconds for Test PyPI propagation..."
sleep 60
- name: Test installation from Test PyPI
if: steps.version-check.outputs.version_exists == 'false'
run: |
# Try to install from Test PyPI (may fail due to dependencies)
python -m pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ penpot-mcp==${{ steps.version-check.outputs.current_version }} || echo "Test PyPI installation failed (expected due to dependencies)"
continue-on-error: true
- name: Publish to PyPI
if: steps.version-check.outputs.version_exists == 'false'
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
run: |
uv run twine upload dist/* --verbose
- name: Create GitHub Release
if: steps.version-check.outputs.version_exists == 'false'
uses: actions/create-release@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
tag_name: v${{ steps.version-check.outputs.current_version }}
release_name: Release v${{ steps.version-check.outputs.current_version }}
body: |
## Changes in v${{ steps.version-check.outputs.current_version }}
Auto-generated release for version ${{ steps.version-check.outputs.current_version }}.
### Installation
```bash
pip install penpot-mcp==${{ steps.version-check.outputs.current_version }}
# or
uvx penpot-mcp
```
### What's Changed
See commit history for detailed changes.
**Full Changelog**: https://github.com/montevive/penpot-mcp/compare/v${{ steps.version-check.outputs.current_version }}...HEAD
draft: false
prerelease: false
- name: Upload Release Assets
if: steps.version-check.outputs.version_exists == 'false'
uses: actions/upload-release-asset@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
upload_url: ${{ steps.create-release.outputs.upload_url }}
asset_path: dist/
asset_name: penpot-mcp-${{ steps.version-check.outputs.current_version }}-dist.zip
asset_content_type: application/zip
- name: Notify on success
if: steps.version-check.outputs.version_exists == 'false'
run: |
echo "✅ Successfully published penpot-mcp v${{ steps.version-check.outputs.current_version }} to PyPI!"
echo "📦 Package: https://pypi.org/project/penpot-mcp/${{ steps.version-check.outputs.current_version }}/"
echo "🏷️ Release: https://github.com/montevive/penpot-mcp/releases/tag/v${{ steps.version-check.outputs.current_version }}"
- name: Skip publishing
if: steps.version-check.outputs.version_exists == 'true'
run: |
echo "⏭️ Skipping publish - version ${{ steps.version-check.outputs.current_version }} already exists on PyPI"
# Manual release workflow (triggered by GitHub releases)
publish-release:
runs-on: ubuntu-latest
if: github.event_name == 'release' && github.event.action == 'published'
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install uv
uses: astral-sh/setup-uv@v4
- name: Install dependencies
run: |
uv sync --extra dev
- name: Update version to match release tag
run: |
RELEASE_VERSION="${{ github.event.release.tag_name }}"
# Remove 'v' prefix if present
VERSION="${RELEASE_VERSION#v}"
# Update version in __init__.py
sed -i "s/__version__ = \".*\"/__version__ = \"$VERSION\"/" penpot_mcp/__init__.py
echo "Updated version to: $VERSION"
- name: Build and publish
env:
TWINE_USERNAME: __token__
TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
run: |
uv build
uv run twine check dist/*
uv run twine upload dist/* --verbose

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name: Version Bump
on:
workflow_dispatch:
inputs:
version-type:
description: 'Version bump type'
required: true
default: 'patch'
type: choice
options:
- patch
- minor
- major
custom-version:
description: 'Custom version (optional, overrides version-type)'
required: false
type: string
jobs:
bump-version:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
with:
token: ${{ secrets.GITHUB_TOKEN }}
fetch-depth: 0
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install packaging
- name: Get current version
id: current-version
run: |
CURRENT_VERSION=$(python -c "import penpot_mcp; print(penpot_mcp.__version__)")
echo "current=$CURRENT_VERSION" >> $GITHUB_OUTPUT
echo "Current version: $CURRENT_VERSION"
- name: Calculate new version
id: new-version
run: |
python << 'EOF'
import os
from packaging import version
current = "${{ steps.current-version.outputs.current }}"
custom = "${{ github.event.inputs.custom-version }}"
bump_type = "${{ github.event.inputs.version-type }}"
if custom:
new_version = custom
else:
v = version.parse(current)
if bump_type == "major":
new_version = f"{v.major + 1}.0.0"
elif bump_type == "minor":
new_version = f"{v.major}.{v.minor + 1}.0"
else: # patch
new_version = f"{v.major}.{v.minor}.{v.micro + 1}"
print(f"New version: {new_version}")
with open(os.environ['GITHUB_OUTPUT'], 'a') as f:
f.write(f"version={new_version}\n")
EOF
- name: Update version in files
run: |
NEW_VERSION="${{ steps.new-version.outputs.version }}"
# Update __init__.py
sed -i "s/__version__ = \".*\"/__version__ = \"$NEW_VERSION\"/" penpot_mcp/__init__.py
# Verify the change
echo "Updated version in penpot_mcp/__init__.py:"
grep "__version__" penpot_mcp/__init__.py
- name: Create changelog entry
run: |
NEW_VERSION="${{ steps.new-version.outputs.version }}"
DATE=$(date +"%Y-%m-%d")
# Create CHANGELOG.md if it doesn't exist
if [ ! -f CHANGELOG.md ]; then
cat > CHANGELOG.md << 'EOF'
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
EOF
fi
# Add new version entry
sed -i "3i\\\\n## [$NEW_VERSION] - $DATE\\\\n\\\\n### Added\\\\n- Version bump to $NEW_VERSION\\\\n\\\\n### Changed\\\\n- Update dependencies and improve stability\\\\n\\\\n### Fixed\\\\n- Bug fixes and performance improvements\\\\n" CHANGELOG.md
echo "Updated CHANGELOG.md with version $NEW_VERSION"
- name: Commit and push changes
run: |
NEW_VERSION="${{ steps.new-version.outputs.version }}"
git config --local user.email "action@github.com"
git config --local user.name "GitHub Action"
git add penpot_mcp/__init__.py CHANGELOG.md
git commit -m "Bump version to $NEW_VERSION
- Update version in __init__.py to $NEW_VERSION
- Add changelog entry for version $NEW_VERSION
🤖 Generated with GitHub Actions"
git push
echo "✅ Version bumped to $NEW_VERSION and pushed to repository"
- name: Create pull request (if on branch)
if: github.ref != 'refs/heads/main'
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.GITHUB_TOKEN }}
commit-message: "Bump version to ${{ steps.new-version.outputs.version }}"
title: "🔖 Bump version to ${{ steps.new-version.outputs.version }}"
body: |
## Version Bump to ${{ steps.new-version.outputs.version }}
This PR was automatically created to bump the version.
### Changes
- Updated `__version__` in `penpot_mcp/__init__.py`
- Added changelog entry for version ${{ steps.new-version.outputs.version }}
### Type of Change
- [${{ github.event.inputs.version-type == 'major' && 'x' || ' ' }}] Major version (breaking changes)
- [${{ github.event.inputs.version-type == 'minor' && 'x' || ' ' }}] Minor version (new features)
- [${{ github.event.inputs.version-type == 'patch' && 'x' || ' ' }}] Patch version (bug fixes)
### Checklist
- [x] Version updated in `__init__.py`
- [x] Changelog updated
- [ ] Tests pass (will be verified by CI)
- [ ] Ready for merge and auto-publish
**Note**: Merging this PR to `main` will trigger automatic publishing to PyPI.
branch: version-bump-${{ steps.new-version.outputs.version }}
delete-branch: true

47
CHANGELOG.md Normal file
View File

@@ -0,0 +1,47 @@
# Changelog
All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Added
- Comprehensive CI/CD pipeline with GitHub Actions
- Automated PyPI publishing on version bumps
- CloudFlare error detection and user-friendly error handling
- Version bump automation workflow
### Changed
- Enhanced error handling in API client and MCP server
- Improved documentation for setup and usage
### Fixed
- CloudFlare protection blocking issues with helpful resolution instructions
## [0.1.1] - 2024-06-29
### Added
- Initial MCP server implementation
- Penpot API client with authentication
- Object tree visualization and analysis tools
- Export functionality for design objects
- Cache system for improved performance
- Comprehensive test suite
### Features
- List and access Penpot projects and files
- Search design objects by name with regex support
- Get object tree structure with field filtering
- Export design objects as images
- Claude Desktop and Cursor IDE integration
- HTTP server for image serving
## [0.1.0] - 2024-06-28
### Added
- Initial project structure
- Basic Penpot API integration
- MCP protocol implementation
- Core tool definitions

123
CLAUDE.md Normal file
View File

@@ -0,0 +1,123 @@
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
Penpot MCP Server is a Python-based Model Context Protocol (MCP) server that bridges AI language models with Penpot, an open-source design platform. It enables programmatic interaction with design files through a well-structured API.
## Key Commands
### Development Setup
```bash
# Install dependencies (recommended)
uv sync --extra dev
# Run the MCP server
uv run penpot-mcp
# Run tests
uv run pytest
uv run pytest --cov=penpot_mcp tests/ # with coverage
# Lint and fix code
uv run python lint.py # check issues
uv run python lint.py --autofix # auto-fix issues
```
### Running the Server
```bash
# Default stdio mode (for Claude Desktop/Cursor)
make mcp-server
# SSE mode (for debugging with inspector)
make mcp-server-sse
# Launch MCP inspector (requires SSE mode)
make mcp-inspector
```
### CLI Tools
```bash
# Generate tree visualization
penpot-tree path/to/penpot_file.json
# Validate Penpot file
penpot-validate path/to/penpot_file.json
```
## Architecture Overview
### Core Components
1. **MCP Server** (`penpot_mcp/server/mcp_server.py`)
- Built on FastMCP framework
- Implements resources and tools for Penpot interaction
- Memory cache with 10-minute TTL
- Supports stdio (default) and SSE modes
2. **API Client** (`penpot_mcp/api/penpot_api.py`)
- REST client for Penpot platform
- Transit+JSON format handling
- Cookie-based authentication with auto-refresh
- Lazy authentication pattern
3. **Key Design Patterns**
- **Authentication**: Cookie-based with automatic re-authentication on 401/403
- **Caching**: In-memory file cache to reduce API calls
- **Resource/Tool Duality**: Resources can be exposed as tools via RESOURCES_AS_TOOLS config
- **Transit Format**: Special handling for UUIDs (`~u` prefix) and keywords (`~:` prefix)
### Available Tools/Functions
- `list_projects`: Get all Penpot projects
- `get_project_files`: List files in a project
- `get_file`: Retrieve and cache file data
- `search_object`: Search design objects by name (regex)
- `get_object_tree`: Get filtered object tree with screenshot
- `export_object`: Export design objects as images
- `penpot_tree_schema`: Get schema for object tree fields
### Environment Configuration
Create a `.env` file with:
```env
PENPOT_API_URL=https://design.penpot.app/api
PENPOT_USERNAME=your_username
PENPOT_PASSWORD=your_password
ENABLE_HTTP_SERVER=true # for image serving
RESOURCES_AS_TOOLS=false # MCP resource mode
DEBUG=true # debug logging
```
### Working with the Codebase
1. **Adding New Tools**: Decorate functions with `@self.mcp.tool()` in mcp_server.py
2. **API Extensions**: Add methods to PenpotAPI class following existing patterns
3. **Error Handling**: Always check for `"error"` keys in API responses
4. **Testing**: Use `test_mode=True` when creating server instances in tests
5. **Transit Format**: Remember to handle Transit+JSON when working with raw API
### Common Workflow for Code Generation
1. List projects → Find target project
2. Get project files → Locate design file
3. Search for component → Find specific element
4. Get tree schema → Understand available fields
5. Get object tree → Retrieve structure with screenshot
6. Export if needed → Get rendered component image
### Testing Patterns
- Mock fixtures in `tests/conftest.py`
- Test both stdio and SSE modes
- Verify Transit format conversions
- Check cache behavior and expiration
## Memories
- Keep the current transport format for the current API requests

6
README.md
View File

@@ -151,6 +151,12 @@ PORT=5000
DEBUG=true
```
> **⚠️ CloudFlare Protection Notice**: The Penpot cloud site (penpot.app) uses CloudFlare protection that may occasionally block API requests. If you encounter authentication errors or blocked requests:
> 1. Open your web browser and navigate to [https://design.penpot.app](https://design.penpot.app)
> 2. Log in to your Penpot account
> 3. Complete any CloudFlare human verification challenges if prompted
> 4. Once verified, the API requests should work normally for a period of time
## Usage
### Running the MCP Server

5
lint.py
View File

@@ -6,8 +6,6 @@ Run with: python lint.py [--autofix]
import argparse
import importlib.util
import os
import site
import subprocess
import sys
from pathlib import Path
@@ -221,7 +219,8 @@ def main():
# Run flake8 (check only, no auto-fix)
print("Running flake8...")
flake8_result = run_command("flake8", cwd=root_dir)
flake8_cmd = "flake8 --exclude=.venv,venv,__pycache__,.git,build,dist,*.egg-info,node_modules"
flake8_result = run_command(flake8_cmd, cwd=root_dir)
if flake8_result != 0:
print("flake8 found issues that need to be fixed manually.")

176
penpot_mcp/api/penpot_api.py
View File

@@ -7,6 +7,28 @@ import requests
from dotenv import load_dotenv
class CloudFlareError(Exception):
"""Exception raised when CloudFlare protection blocks the request."""
def __init__(self, message: str, status_code: int = None, response_text: str = None):
super().__init__(message)
self.status_code = status_code
self.response_text = response_text
def __str__(self):
return f"CloudFlare Protection Error: {super().__str__()}"
class PenpotAPIError(Exception):
"""General exception for Penpot API errors."""
def __init__(self, message: str, status_code: int = None, response_text: str = None, is_cloudflare: bool = False):
super().__init__(message)
self.status_code = status_code
self.response_text = response_text
self.is_cloudflare = is_cloudflare
class PenpotAPI:
def __init__(
self,
@@ -31,9 +53,74 @@ class PenpotAPI:
# based on the required content type (JSON vs Transit+JSON)
self.session.headers.update({
"Accept": "application/json, application/transit+json",
"Content-Type": "application/json"
"Content-Type": "application/json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
})
def _is_cloudflare_error(self, response: requests.Response) -> bool:
"""Check if the response indicates a CloudFlare error."""
# Check for CloudFlare-specific indicators
cloudflare_indicators = [
'cloudflare',
'cf-ray',
'attention required',
'checking your browser',
'challenge',
'ddos protection',
'security check',
'cf-browser-verification',
'cf-challenge-running',
'please wait while we are checking your browser',
'enable cookies and reload the page',
'this process is automatic'
]
# Check response headers for CloudFlare
server_header = response.headers.get('server', '').lower()
cf_ray = response.headers.get('cf-ray')
if 'cloudflare' in server_header or cf_ray:
return True
# Check response content for CloudFlare indicators
try:
response_text = response.text.lower()
for indicator in cloudflare_indicators:
if indicator in response_text:
return True
except:
# If we can't read the response text, don't assume it's CloudFlare
pass
# Check for specific status codes that might indicate CloudFlare blocks
if response.status_code in [403, 429, 503]:
# Additional check for CloudFlare-specific error pages
try:
response_text = response.text.lower()
if any(['cloudflare' in response_text, 'cf-ray' in response_text, 'attention required' in response_text]):
return True
except:
pass
return False
def _create_cloudflare_error_message(self, response: requests.Response) -> str:
"""Create a user-friendly CloudFlare error message."""
base_message = (
"CloudFlare protection has blocked this request. This is common on penpot.app. "
"To resolve this issue:\\n\\n"
"1. Open your web browser and navigate to https://design.penpot.app\\n"
"2. Log in to your Penpot account\\n"
"3. Complete any CloudFlare human verification challenges if prompted\\n"
"4. Once verified, try your request again\\n\\n"
"The verification typically lasts for a period of time, after which you may need to repeat the process."
)
if response.status_code:
return f"{base_message}\\n\\nHTTP Status: {response.status_code}"
return base_message
def set_access_token(self, token: str):
"""Set the auth token for authentication."""
self.access_token = token
@@ -60,11 +147,12 @@ class PenpotAPI:
Returns:
Auth token for API calls
"""
# Just use the export authentication as it's more reliable
# Use the export authentication which also extracts profile ID
token = self.login_for_export(email, password)
self.set_access_token(token)
# Get profile ID after login
self.get_profile()
# Profile ID is now extracted during login_for_export, no need to call get_profile
if self.debug and self.profile_id:
print(f"\nProfile ID available: {self.profile_id}")
return token
def get_profile(self) -> Dict[str, Any]:
@@ -138,7 +226,8 @@ class PenpotAPI:
# Set headers
headers = {
"Content-Type": "application/transit+json"
"Content-Type": "application/transit+json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
response = login_session.post(url, json=payload, headers=headers)
@@ -147,6 +236,45 @@ class PenpotAPI:
print(f"Response text: {response.text}")
response.raise_for_status()
# Extract profile ID from response
try:
# The response is in Transit+JSON array format
data = response.json()
if isinstance(data, list):
# Convert Transit array to dict
transit_dict = {}
i = 1 # Skip the "^ " marker
while i < len(data) - 1:
key = data[i]
value = data[i + 1]
transit_dict[key] = value
i += 2
# Extract profile ID
if "~:id" in transit_dict:
profile_id = transit_dict["~:id"]
# Remove the ~u prefix for UUID
if isinstance(profile_id, str) and profile_id.startswith("~u"):
profile_id = profile_id[2:]
self.profile_id = profile_id
if self.debug:
print(f"\nExtracted profile ID from login response: {profile_id}")
except Exception as e:
if self.debug:
print(f"\nCouldn't extract profile ID from response: {e}")
# Also try to extract profile ID from auth-data cookie
if not self.profile_id:
for cookie in login_session.cookies:
if cookie.name == "auth-data":
# Cookie value is like: "profile-id=7ae66c33-6ede-81e2-8006-6a1b4dce3d2b"
if "profile-id=" in cookie.value:
profile_id = cookie.value.split("profile-id=")[1].split(";")[0].strip('"')
self.profile_id = profile_id
if self.debug:
print(f"\nExtracted profile ID from auth-data cookie: {profile_id}")
break
# Extract auth token from cookies
if 'Set-Cookie' in response.headers:
if self.debug:
@@ -171,7 +299,7 @@ class PenpotAPI:
# If we reached here, we couldn't find the token
raise ValueError("Auth token not found in response cookies or JSON body")
def _make_authenticated_request(self, method: str, url: str, **kwargs) -> requests.Response:
def _make_authenticated_request(self, method: str, url: str, retry_auth: bool = True, **kwargs) -> requests.Response:
"""
Make an authenticated request, handling re-auth if needed.
@@ -268,8 +396,17 @@ class PenpotAPI:
return response
except requests.HTTPError as e:
# Check for CloudFlare errors first
if self._is_cloudflare_error(e.response):
cloudflare_message = self._create_cloudflare_error_message(e.response)
raise CloudFlareError(cloudflare_message, e.response.status_code, e.response.text)
# Handle authentication errors
if e.response.status_code in (401, 403) and self.email and self.password:
if e.response.status_code in (401, 403) and self.email and self.password and retry_auth:
# Special case: don't retry auth for get-profile to avoid infinite loops
if url.endswith('/get-profile'):
raise
if self.debug:
print("\nAuthentication failed. Trying to re-login...")
@@ -280,13 +417,22 @@ class PenpotAPI:
headers['Authorization'] = f"Token {self.access_token}"
combined_headers = {**self.session.headers, **headers}
# Retry the request with the new token
# Retry the request with the new token (but don't retry auth again)
response = getattr(self.session, method)(url, headers=combined_headers, **kwargs)
response.raise_for_status()
return response
else:
# Re-raise other errors
raise
except requests.RequestException as e:
# Handle other request exceptions (connection errors, timeouts, etc.)
# Check if we have a response to analyze
if hasattr(e, 'response') and e.response is not None:
if self._is_cloudflare_error(e.response):
cloudflare_message = self._create_cloudflare_error_message(e.response)
raise CloudFlareError(cloudflare_message, e.response.status_code, e.response.text)
# Re-raise if not a CloudFlare error
raise
def _normalize_transit_response(self, data: Union[Dict, List, Any]) -> Union[Dict, List, Any]:
"""
@@ -460,16 +606,12 @@ class PenpotAPI:
# This uses the cookie auth approach, which requires login
token = self.login_for_export(email, password)
# If profile_id is not provided, get it from instance variable or fetch it
# If profile_id is not provided, get it from instance variable
if not profile_id:
if not self.profile_id:
# We need to set the token first for the get_profile call to work
self.set_access_token(token)
self.get_profile()
profile_id = self.profile_id
if not profile_id:
raise ValueError("Profile ID not available and couldn't be retrieved automatically")
raise ValueError("Profile ID not available. It should be automatically extracted during login.")
# Build the URL for export creation
url = f"{self.base_url}/export"
@@ -500,7 +642,8 @@ class PenpotAPI:
headers = {
"Content-Type": "application/transit+json",
"Accept": "application/transit+json"
"Accept": "application/transit+json",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
# Make the request
@@ -557,7 +700,8 @@ class PenpotAPI:
}
headers = {
"Content-Type": "application/transit+json",
"Accept": "*/*"
"Accept": "*/*",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
if self.debug:
print(f"\nFetching export resource: {url}")

46
penpot_mcp/server/mcp_server.py
View File

@@ -5,16 +5,17 @@ This module defines the MCP server with resources and tools for interacting with
the Penpot design platform.
"""
import argparse
import hashlib
import json
import os
import re
import argparse
import sys
from typing import List, Optional, Dict
from typing import Dict, List, Optional
from mcp.server.fastmcp import FastMCP, Image
from penpot_mcp.api.penpot_api import PenpotAPI
from penpot_mcp.api.penpot_api import CloudFlareError, PenpotAPI, PenpotAPIError
from penpot_mcp.tools.penpot_tree import get_object_subtree_with_fields
from penpot_mcp.utils import config
from penpot_mcp.utils.cache import MemoryCache
@@ -91,6 +92,30 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
self._register_resources(resources_only=False)
self._register_tools(include_resource_tools=False)
def _handle_api_error(self, e: Exception) -> dict:
"""Handle API errors and return user-friendly error messages."""
if isinstance(e, CloudFlareError):
return {
"error": "CloudFlare Protection",
"message": str(e),
"error_type": "cloudflare_protection",
"instructions": [
"Open your web browser and navigate to https://design.penpot.app",
"Log in to your Penpot account",
"Complete any CloudFlare human verification challenges if prompted",
"Once verified, try your request again"
]
}
elif isinstance(e, PenpotAPIError):
return {
"error": "Penpot API Error",
"message": str(e),
"error_type": "api_error",
"status_code": getattr(e, 'status_code', None)
}
else:
return {"error": str(e)}
def _register_resources(self, resources_only=False):
"""Register all MCP resources. If resources_only is True, only register server://info as a resource."""
@self.mcp.resource("server://info")
@@ -147,7 +172,7 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
projects = self.api.list_projects()
return {"projects": projects}
except Exception as e:
return {"error": str(e)}
return self._handle_api_error(e)
@self.mcp.tool()
def get_project_files(project_id: str) -> dict:
"""Get all files contained within a specific Penpot project.
@@ -159,7 +184,7 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
files = self.api.get_project_files(project_id)
return {"files": files}
except Exception as e:
return {"error": str(e)}
return self._handle_api_error(e)
def get_cached_file(file_id: str) -> dict:
"""Internal helper to retrieve a file, using cache if available.
@@ -174,7 +199,7 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
self.file_cache.set(file_id, file_data)
return file_data
except Exception as e:
return {"error": str(e)}
return self._handle_api_error(e)
@self.mcp.tool()
def get_file(file_id: str) -> dict:
"""Retrieve a Penpot file by its ID and cache it. Don't use this tool for code generation, use 'get_object_tree' instead.
@@ -187,7 +212,7 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
self.file_cache.set(file_id, file_data)
return file_data
except Exception as e:
return {"error": str(e)}
return self._handle_api_error(e)
@self.mcp.tool()
def export_object(
file_id: str,
@@ -232,6 +257,9 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
return image
except Exception as e:
if isinstance(e, CloudFlareError):
raise Exception(f"CloudFlare Protection: {str(e)}")
else:
raise Exception(f"Export failed: {str(e)}")
finally:
if temp_filename and os.path.exists(temp_filename):
@@ -308,7 +336,7 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
return {"format_error": f"Error formatting as YAML: {str(e)}"}
return final_result
except Exception as e:
return {"error": str(e)}
return self._handle_api_error(e)
@self.mcp.tool()
def search_object(file_id: str, query: str) -> dict:
"""Search for objects within a Penpot file by name.
@@ -338,7 +366,7 @@ Let me know which Penpot design you'd like to convert to code, and I'll guide yo
})
return {'objects': matches}
except Exception as e:
return {"error": str(e)}
return self._handle_api_error(e)
if include_resource_tools:
@self.mcp.tool()
def penpot_schema() -> dict:

23
penpot_mcp/tools/penpot_tree.py
View File

@@ -6,7 +6,7 @@ a tree representation, which can be displayed or exported.
"""
import re
from typing import Any, Dict, Optional, Union, List
from typing import Any, Dict, List, Optional, Union
from anytree import Node, RenderTree
from anytree.exporter import DotExporter
@@ -423,11 +423,27 @@ def get_object_subtree_with_fields(file_data: Dict[str, Any], object_id: str,
if object_id not in objects_dict:
return {"error": f"Object {object_id} not found in page {page_id}"}
# Track visited nodes to prevent infinite loops
visited = set()
# Function to recursively build the filtered object tree
def build_filtered_object_tree(obj_id: str, current_depth: int = 0):
if obj_id not in objects_dict:
return None
# Check for circular reference
if obj_id in visited:
# Return a placeholder to indicate circular reference
return {
'id': obj_id,
'name': objects_dict[obj_id].get('name', 'Unnamed'),
'type': objects_dict[obj_id].get('type', 'unknown'),
'_circular_reference': True
}
# Mark this object as visited
visited.add(obj_id)
obj_data = objects_dict[obj_id]
# Create a new dict with only the requested fields or all fields if None
@@ -441,6 +457,8 @@ def get_object_subtree_with_fields(file_data: Dict[str, Any], object_id: str,
# If depth limit reached, don't process children
if depth != -1 and current_depth >= depth:
# Remove from visited before returning
visited.remove(obj_id)
return filtered_obj
# Find all children of this object
@@ -455,6 +473,9 @@ def get_object_subtree_with_fields(file_data: Dict[str, Any], object_id: str,
if children:
filtered_obj['children'] = children
# Remove from visited after processing
visited.remove(obj_id)
return filtered_obj
# Build the filtered tree starting from the requested object

3
penpot_mcp/utils/cache.py
View File

@@ -3,7 +3,8 @@ Cache utilities for Penpot MCP server.
"""
import time
from typing import Optional, Dict, Any
from typing import Any, Dict, Optional
class MemoryCache:
"""In-memory cache implementation with TTL support."""

3
penpot_mcp/utils/http_server.py
View File

@@ -2,9 +2,10 @@
import io
import json
import socketserver
import threading
from http.server import BaseHTTPRequestHandler, HTTPServer
import socketserver
class InMemoryImageHandler(BaseHTTPRequestHandler):
"""HTTP request handler for serving images stored in memory."""

80
test_credentials.py Executable file
View File

@@ -0,0 +1,80 @@
#!/usr/bin/env python3
"""
Test script to verify Penpot API credentials and list projects.
"""
import os
from dotenv import load_dotenv
from penpot_mcp.api.penpot_api import PenpotAPI
def test_credentials():
"""Test Penpot API credentials and list projects."""
load_dotenv()
api_url = os.getenv("PENPOT_API_URL")
username = os.getenv("PENPOT_USERNAME")
password = os.getenv("PENPOT_PASSWORD")
if not all([api_url, username, password]):
print("❌ Missing credentials in .env file")
print("Required: PENPOT_API_URL, PENPOT_USERNAME, PENPOT_PASSWORD")
return False
print(f"🔗 Testing connection to: {api_url}")
print(f"👤 Username: {username}")
try:
api = PenpotAPI(api_url, debug=False, email=username, password=password)
print("🔐 Authenticating...")
token = api.login_with_password()
print("✅ Authentication successful!")
print("📁 Fetching projects...")
projects = api.list_projects()
if isinstance(projects, dict) and "error" in projects:
print(f"❌ Failed to list projects: {projects['error']}")
return False
print(f"✅ Found {len(projects)} projects:")
for i, project in enumerate(projects, 1):
if isinstance(project, dict):
name = project.get('name', 'Unnamed')
project_id = project.get('id', 'N/A')
team_name = project.get('team-name', 'Unknown Team')
print(f" {i}. {name} (ID: {project_id}) - Team: {team_name}")
else:
print(f" {i}. {project}")
# Test getting project files if we have a project
if projects and isinstance(projects[0], dict):
project_id = projects[0].get('id')
if project_id:
print(f"\n📄 Testing project files for project: {project_id}")
try:
files = api.get_project_files(project_id)
print(f"✅ Found {len(files)} files:")
for j, file in enumerate(files[:3], 1): # Show first 3 files
if isinstance(file, dict):
print(f" {j}. {file.get('name', 'Unnamed')} (ID: {file.get('id', 'N/A')})")
else:
print(f" {j}. {file}")
if len(files) > 3:
print(f" ... and {len(files) - 3} more files")
except Exception as file_error:
print(f"❌ Error getting files: {file_error}")
return True
except Exception as e:
print(f"❌ Error: {e}")
return False
if __name__ == "__main__":
success = test_credentials()
exit(0 if success else 1)

3
tests/test_cache.py
View File

@@ -3,9 +3,12 @@ Tests for the memory caching functionality.
"""
import time
import pytest
from penpot_mcp.utils.cache import MemoryCache
@pytest.fixture
def memory_cache():
"""Create a MemoryCache instance with a short TTL for testing."""

5
tests/test_mcp_server.py
View File

@@ -1,12 +1,13 @@
"""Tests for the MCP server module."""
import hashlib
import json
import os
import hashlib
from unittest.mock import MagicMock, mock_open, patch
import yaml
import pytest
import yaml
from penpot_mcp.server.mcp_server import PenpotMCPServer, create_server

67
tests/test_penpot_tree.py
View File

@@ -8,13 +8,13 @@ from anytree import Node, RenderTree
from penpot_mcp.tools.penpot_tree import (
build_tree,
print_tree,
export_tree_to_dot,
find_page_containing_object,
find_object_in_tree,
convert_node_to_dict,
export_tree_to_dot,
find_object_in_tree,
find_page_containing_object,
get_object_subtree,
get_object_subtree_with_fields
get_object_subtree_with_fields,
print_tree,
)
@@ -1088,3 +1088,60 @@ def test_get_object_subtree_with_fields_root_frame():
assert 'children' in result['tree']
assert len(result['tree']['children']) == 1
assert result['tree']['children'][0]['name'] == 'Main Container'
def test_get_object_subtree_with_fields_circular_reference():
"""Test handling of circular references in object tree."""
file_data = {
'data': {
'pagesIndex': {
'page1': {
'name': 'Test Page',
'objects': {
# Object A references B as parent
'object-a': {
'type': 'frame',
'name': 'Object A',
'parentId': 'object-b'
},
# Object B references A as parent (circular)
'object-b': {
'type': 'frame',
'name': 'Object B',
'parentId': 'object-a'
},
# Object C references itself as parent
'object-c': {
'type': 'frame',
'name': 'Object C',
'parentId': 'object-c'
}
}
}
}
}
}
# Test getting object A - should handle circular reference with B
result = get_object_subtree_with_fields(file_data, 'object-a')
assert 'error' not in result
assert result['tree']['id'] == 'object-a'
assert 'children' in result['tree']
# Check that object-b appears as a child
assert len(result['tree']['children']) == 1
assert result['tree']['children'][0]['id'] == 'object-b'
# The circular reference appears when object-a appears again as a child of object-b
assert 'children' in result['tree']['children'][0]
assert len(result['tree']['children'][0]['children']) == 1
assert result['tree']['children'][0]['children'][0]['id'] == 'object-a'
assert result['tree']['children'][0]['children'][0]['_circular_reference'] == True
# Test getting object C - should handle self-reference
result = get_object_subtree_with_fields(file_data, 'object-c')
assert 'error' not in result
assert result['tree']['id'] == 'object-c'
assert 'children' in result['tree']
# Check that object-c appears as its own child with circular reference marker
assert len(result['tree']['children']) == 1
assert result['tree']['children'][0]['id'] == 'object-c'
assert result['tree']['children'][0]['_circular_reference'] == True