feat: fixes, tweaks, new actions, linting (#186)

* feat: fixes, tweaks, new actions, linting
* fix: improve docker publish loops and dotnet parsing (#193)
* fix: harden action scripts and version checks (#191)
* refactor: major repository restructuring and security enhancements

Add comprehensive development infrastructure:
- Add Makefile with automated documentation generation, formatting, and linting tasks
- Add TODO.md tracking self-containment progress and repository improvements
- Add .nvmrc for consistent Node.js version management
- Create python-version-detect-v2 action for enhanced Python detection

Enhance all GitHub Actions with standardized patterns:
- Add consistent token handling across 27 actions using standardized input patterns
- Implement bash error handling (set -euo pipefail) in all shell steps
- Add comprehensive input validation for path traversal and command injection protection
- Standardize checkout token authentication to prevent rate limiting
- Remove relative action dependencies to ensure external usability

Rewrite security workflow for PR-focused analysis:
- Transform security-suite.yml to PR-only security analysis workflow
- Remove scheduled runs, repository issue management, and Slack notifications
- Implement smart comment generation showing only sections with content
- Add GitHub Actions permission diff analysis and new action detection
- Integrate OWASP, Semgrep, and TruffleHog for comprehensive PR security scanning

Improve version detection and dependency management:
- Simplify version detection actions to use inline logic instead of shared utilities
- Fix Makefile version detection fallback to properly return 'main' when version not found
- Update all external action references to use SHA-pinned versions
- Remove deprecated run.sh in favor of Makefile automation

Update documentation and project standards:
- Enhance CLAUDE.md with self-containment requirements and linting standards
- Update README.md with improved action descriptions and usage examples
- Standardize code formatting with updated .editorconfig and .prettierrc.yml
- Improve GitHub templates for issues and security reporting

This refactoring ensures all 40 actions are fully self-contained and can be used independently when
referenced as ivuorinen/actions/action-name@main, addressing the critical requirement for external
usability while maintaining comprehensive security analysis and development automation.

* feat: add automated action catalog generation system

- Create generate_listing.cjs script for comprehensive action catalog
- Add package.json with development tooling and npm scripts
- Implement automated README.md catalog section with --update flag
- Generate markdown reference-style links for all 40 actions
- Add categorized tables with features, language support matrices
- Replace static reference links with auto-generated dynamic links
- Enable complete automation of action documentation maintenance

* feat: enhance actions with improved documentation and functionality

- Add comprehensive README files for 12 actions with usage examples
- Implement new utility actions (go-version-detect, dotnet-version-detect)
- Enhance node-setup with extensive configuration options
- Improve error handling and validation across all actions
- Update package.json scripts for better development workflow
- Expand TODO.md with detailed roadmap and improvement plans
- Standardize action structure with consistent inputs/outputs

* feat: add comprehensive output handling across all actions

- Add standardized outputs to 15 actions that previously had none
- Implement consistent snake_case naming convention for all outputs
- Add build status and test results outputs to build actions
- Add files changed and status outputs to lint/fix actions
- Add test execution metrics to php-tests action
- Add stale/closed counts to stale action
- Add release URLs and IDs to github-release action
- Update documentation with output specifications
- Mark comprehensive output handling task as complete in TODO.md

* feat: implement shared cache strategy across all actions

- Add caching to 10 actions that previously had none (Node.js, .NET, Python, Go)
- Standardize 4 existing actions to use common-cache instead of direct actions/cache
- Implement consistent cache-hit optimization to skip installations when cache available
- Add language-specific cache configurations with appropriate key files
- Create unified caching approach using ivuorinen/actions/common-cache@main
- Fix YAML syntax error in php-composer action paths parameter
- Update TODO.md to mark shared cache strategy as complete

* feat: implement comprehensive retry logic for network operations

- Create new common-retry action for standardized retry patterns with configurable strategies
- Add retry logic to 9 actions missing network retry capabilities
- Implement exponential backoff, custom timeouts, and flexible error handling
- Add max-retries input parameter to all network-dependent actions (Node.js, .NET, Python, Go)
- Standardize existing retry implementations to use common-retry utility
- Update action catalog to include new common-retry action (41 total actions)
- Update documentation with retry configuration examples and parameters
- Mark retry logic implementation as complete in TODO.md roadmap

* feat: enhance Node.js support with Corepack and Bun

- Add Corepack support for automatic package manager version management
- Add Bun package manager support across all Node.js actions
- Improve Yarn Berry/PnP support with .yarnrc.yml detection
- Add Node.js feature detection (ESM, TypeScript, frameworks)
- Update package manager detection priority and lockfile support
- Enhance caching with package-manager-specific keys
- Update eslint, prettier, and biome actions for multi-package-manager support

* fix: resolve critical runtime issues across multiple actions

- Fix token validation by removing ineffective literal string comparisons
- Add missing @microsoft/eslint-formatter-sarif dependency for SARIF output
- Fix Bash variable syntax errors in username and changelog length checks
- Update Dockerfile version regex to handle tags with suffixes (e.g., -alpine)
- Simplify version selection logic with single grep command
- Fix command execution in retry action with proper bash -c wrapper
- Correct step output references using .outcome instead of .outputs.outcome
- Add missing step IDs for version detection actions
- Include go.mod in cache key files for accurate invalidation
- Require minor version in all version regex patterns
- Improve Bun installation security by verifying script before execution
- Replace bc with sort -V for portable PHP version comparison
- Remove non-existent pre-commit output references

These fixes ensure proper runtime behavior, improved security, and better
cross-platform compatibility across all affected actions.

* fix: resolve critical runtime and security issues across actions

- Fix biome-fix files_changed calculation using git diff instead of git status delta
- Fix compress-images output description and add absolute path validation
- Remove csharp-publish token default and fix token fallback in push commands
- Add @microsoft/eslint-formatter-sarif to all package managers in eslint-check
- Fix eslint-check command syntax by using variable assignment
- Improve node-setup Bun installation security and remove invalid frozen-lockfile flag
- Fix pre-commit token validation by removing ineffective literal comparison
- Fix prettier-fix token comparison and expand regex for all GitHub token types
- Add version-file-parser regex validation safety and fix csproj wildcard handling

These fixes address security vulnerabilities, runtime errors, and functional issues
to ensure reliable operation across all affected GitHub Actions.

* feat: enhance Docker actions with advanced multi-architecture support

Major enhancement to Docker build and publish actions with comprehensive
multi-architecture capabilities and enterprise-grade features.

Added features:
- Advanced buildx configuration (version control, cache modes, build contexts)
- Auto-detect platforms for dynamic architecture discovery
- Performance optimizations with enhanced caching strategies
- Security scanning with Trivy and image signing with Cosign
- SBOM generation in multiple formats with validation
- Verbose logging and dry-run modes for debugging
- Platform-specific build args and fallback mechanisms

Enhanced all Docker actions:
- docker-build: Core buildx features and multi-arch support
- docker-publish-gh: GitHub Packages with security features
- docker-publish-hub: Docker Hub with scanning and signing
- docker-publish: Orchestrator with unified configuration

Updated documentation across all modified actions.

* fix: resolve documentation generation placeholder issue

Fixed Makefile and package.json to properly replace placeholder tokens in generated documentation, ensuring all README files show correct repository paths instead of ***PROJECT***@***VERSION***.

* chore: simplify github token validation
* chore(lint): optional yamlfmt, config and fixes
* feat: use relative `uses` names

* feat: comprehensive testing infrastructure and Python validation system

- Migrate from tests/ to _tests/ directory structure with ShellSpec framework
- Add comprehensive validation system with Python-based input validation
- Implement dual testing approach (ShellSpec + pytest) for complete coverage
- Add modern Python tooling (uv, ruff, pytest-cov) and dependencies
- Create centralized validation rules with automatic generation system
- Update project configuration and build system for new architecture
- Enhance documentation to reflect current testing capabilities

This establishes a robust foundation for action validation and testing
with extensive coverage across all GitHub Actions in the repository.

* chore: remove Dockerfile for now
* chore: code review fixes

* feat: comprehensive GitHub Actions restructuring and tooling improvements

This commit represents a major restructuring of the GitHub Actions monorepo
with improved tooling, testing infrastructure, and comprehensive PR #186
review implementation.

## Major Changes

### 🔧 Development Tooling & Configuration
- **Shellcheck integration**: Exclude shellspec test files from linting
  - Updated .pre-commit-config.yaml to exclude _tests/*.sh from shellcheck/shfmt
  - Modified Makefile shellcheck pattern to skip shellspec files
  - Updated CLAUDE.md documentation with proper exclusion syntax
- **Testing infrastructure**: Enhanced Python validation framework
  - Fixed nested if statements and boolean parameter issues in validation.py
  - Improved code quality with explicit keyword arguments
  - All pre-commit hooks now passing

### 🏗️ Project Structure & Documentation
- **Added Serena AI integration** with comprehensive project memories:
  - Project overview, structure, and technical stack documentation
  - Code style conventions and completion requirements
  - Comprehensive PR #186 review analysis and implementation tracking
- **Enhanced configuration**: Updated .gitignore, .yamlfmt.yml, pyproject.toml
- **Improved testing**: Added integration workflows and enhanced test specs

### 🚀 GitHub Actions Improvements (30+ actions updated)
- **Centralized validation**: Updated 41 validation rule files
- **Enhanced actions**: Improvements across all action categories:
  - Setup actions (node-setup, version detectors)
  - Utility actions (version-file-parser, version-validator)
  - Linting actions (biome, eslint, terraform-lint-fix major refactor)
  - Build/publish actions (docker-build, npm-publish, csharp-*)
  - Repository management actions

### 📝 Documentation Updates
- **README consistency**: Updated version references across action READMEs
- **Enhanced documentation**: Improved action descriptions and usage examples
- **CLAUDE.md**: Updated with current tooling and best practices

## Technical Improvements
- **Security enhancements**: Input validation and sanitization improvements
- **Performance optimizations**: Streamlined action logic and dependencies
- **Cross-platform compatibility**: Better Windows/macOS/Linux support
- **Error handling**: Improved error reporting and user feedback

## Files Changed
- 100 files changed
- 13 new Serena memory files documenting project state
- 41 validation rules updated for consistency
- 30+ GitHub Actions and READMEs improved
- Core tooling configuration enhanced

* feat: comprehensive GitHub Actions improvements and PR review fixes

Major Infrastructure Improvements:
- Add comprehensive testing framework with 17+ ShellSpec validation tests
- Implement Docker-based testing tools with automated test runner
- Add CodeRabbit configuration for automated code reviews
- Restructure documentation and memory management system
- Update validation rules for 25+ actions with enhanced input validation
- Modernize CI/CD workflows and testing infrastructure

Critical PR Review Fixes (All Issues Resolved):
- Fix double caching in node-setup (eliminate redundant cache operations)
- Optimize shell pipeline in version-file-parser (single awk vs complex pipeline)
- Fix GitHub expression interpolation in prettier-check cache keys
- Resolve terraform command order issue (validation after setup)
- Add missing flake8-sarif dependency for Python SARIF output
- Fix environment variable scope in pr-lint (export to GITHUB_ENV)

Performance & Reliability:
- Eliminate duplicate cache operations saving CI time
- Improve shell script efficiency with optimized parsing
- Fix command execution dependencies preventing runtime failures
- Ensure proper dependency installation for all linting tools
- Resolve workflow conditional logic issues

Security & Quality:
- All input validation rules updated with latest security patterns
- Cross-platform compatibility improvements maintained
- Comprehensive error handling and retry logic preserved
- Modern development tooling and best practices adopted

This commit addresses 100% of actionable feedback from PR review analysis,
implements comprehensive testing infrastructure, and maintains high code
quality standards across all 41 GitHub Actions.

* feat: enhance expression handling and version parsing

- Fix node-setup force-version expression logic for proper empty string handling
- Improve version-file-parser with secure regex validation and enhanced Python detection
- Add CodeRabbit configuration for CalVer versioning and README review guidance

* feat(validate-inputs): implement modular validation system

- Add modular validator architecture with specialized validators
- Implement base validator classes for different input types
- Add validators: boolean, docker, file, network, numeric, security, token, version
- Add convention mapper for automatic input validation
- Add comprehensive documentation for the validation system
- Implement PCRE regex support and injection protection

* feat(validate-inputs): add validation rules for all actions

- Add YAML validation rules for 42 GitHub Actions
- Auto-generated rules with convention mappings
- Include metadata for validation coverage and quality indicators
- Mark rules as auto-generated to prevent manual edits

* test(validate-inputs): add comprehensive test suite for validators

- Add unit tests for all validator modules
- Add integration tests for the validation system
- Add fixtures for version test data
- Test coverage for boolean, docker, file, network, numeric, security, token, and version validators
- Add tests for convention mapper and registry

* feat(tools): add validation scripts and utilities

- Add update-validators.py script for auto-generating rules
- Add benchmark-validator.py for performance testing
- Add debug-validator.py for troubleshooting
- Add generate-tests.py for test generation
- Add check-rules-not-manually-edited.sh for CI validation
- Add fix-local-action-refs.py tool for fixing action references

* feat(actions): add CustomValidator.py files for specialized validation

- Add custom validators for actions requiring special validation logic
- Implement validators for docker, go, node, npm, php, python, terraform actions
- Add specialized validation for compress-images, common-cache, common-file-check
- Implement version detection validators with language-specific logic
- Add validation for build arguments, architectures, and version formats

* test: update ShellSpec test framework for Python validation

- Update all validation.spec.sh files to use Python validator
- Add shared validation_core.py for common test utilities
- Remove obsolete bash validation helpers
- Update test output expectations for Python validator format
- Add codeql-analysis test suite
- Refactor framework utilities for Python integration
- Remove deprecated test files

* feat(actions): update action.yml files to use validate-inputs

- Replace inline bash validation with validate-inputs action
- Standardize validation across all 42 actions
- Add new codeql-analysis action
- Update action metadata and branding
- Add validation step as first step in composite actions
- Maintain backward compatibility with existing inputs/outputs

* ci: update GitHub workflows for enhanced security and testing

- Add new codeql-new.yml workflow
- Update security scanning workflows
- Enhance dependency review configuration
- Update test-actions workflow for new validation system
- Improve workflow permissions and security settings
- Update action versions to latest SHA-pinned releases

* build: update build configuration and dependencies

- Update Makefile with new validation targets
- Add Python dependencies in pyproject.toml
- Update npm dependencies and scripts
- Enhance Docker testing tools configuration
- Add targets for validator updates and local ref fixes
- Configure uv for Python package management

* chore: update linting and documentation configuration

- Update EditorConfig settings for consistent formatting
- Enhance pre-commit hooks configuration
- Update prettier and yamllint ignore patterns
- Update gitleaks security scanning rules
- Update CodeRabbit review configuration
- Update CLAUDE.md with latest project standards and rules

* docs: update Serena memory files and project metadata

- Remove obsolete PR-186 memory files
- Update project overview with current architecture
- Update project structure documentation
- Add quality standards and communication guidelines
- Add modular validator architecture documentation
- Add shellspec testing framework documentation
- Update project.yml with latest configuration

* feat: moved rules.yml to same folder as action, fixes

* fix(validators): correct token patterns and fix validator bugs

- Fix GitHub classic PAT pattern: ghp_ + 36 chars = 40 total
- Fix GitHub fine-grained PAT pattern: github_pat_ + 71 chars = 82 total
- Initialize result variable in convention_mapper to prevent UnboundLocalError
- Fix empty URL validation in network validator to return error
- Add GitHub expression check to docker architectures validator
- Update docker-build CustomValidator parallel-builds max to 16

* test(validators): fix test fixtures and expectations

- Fix token lengths in test data: github_pat 71 chars, ghp/gho 36 chars
- Update integration tests with correct token lengths
- Fix file validator test to expect absolute paths rejected for security
- Rename TestGenerator import to avoid pytest collection warning
- Update custom validator tests with correct input names
- Change docker-build tests: platforms->architectures, tags->tag
- Update docker-publish tests to match new registry enum validation

* test(shellspec): fix token lengths in test helpers and specs

- Fix default token lengths in spec_helper.sh to use correct 40-char format
- Update csharp-publish default tokens in 4 locations
- Update codeql-analysis default tokens in 2 locations
- Fix codeql-analysis test tokens to correct lengths (40 and 82 chars)
- Fix npm-publish fine-grained token test to use 82-char format

* feat(actions): add permissions documentation and environment variable usage

- Add permissions comments to all action.yml files documenting required GitHub permissions
- Convert direct input usage to environment variables in shell steps for security
- Add validation steps with proper error handling
- Update input descriptions and add security notes where applicable
- Ensure all actions follow consistent patterns for input validation

* chore(workflows): update GitHub Actions workflow versions

- Update workflow action versions to latest
- Improve workflow consistency and maintainability

* docs(security): add comprehensive security policy

- Document security features and best practices
- Add vulnerability reporting process
- Include audit history and security testing information

* docs(memory): add GitHub workflow reference documentation

- Add GitHub Actions workflow commands reference
- Add GitHub workflow expressions guide
- Add secure workflow usage patterns and best practices

* chore: token optimization, code style conventions
* chore: cr fixes
* fix: trivy reported Dockerfile problems
* fix(security): more security fixes
* chore: dockerfile and make targets for publishing
* fix(ci): add creds to test-actions workflow
* fix: security fix and checkout step to codeql-new
* chore: test fixes
* fix(security): codeql detected issues
* chore: code review fixes, ReDos protection
* style: apply MegaLinter fixes
* fix(ci): missing packages read permission
* fix(ci): add missing working directory setting
* chore: linting, add validation-regex to use regex_pattern
* chore: code review fixes
* chore(deps): update actions
* fix(security): codeql fixes
* chore(cr): apply cr comments
* chore: improve POSIX compatibility
* chore(cr): apply cr comments
* fix: codeql warning in Dockerfile, build failures
* chore(cr): apply cr comments
* fix: docker-testing-tools/Dockerfile
* chore(cr): apply cr comments
* fix(docker): update testing-tools image for GitHub Actions compatibility
* chore(cr): apply cr comments
* feat: add more tests, fix issues
* chore: fix codeql issues, update actions
* chore(cr): apply cr comments
* fix: integration tests
* chore: deduplication and fixes
* style: apply MegaLinter fixes
* chore(cr): apply cr comments
* feat: dry-run mode for generate-tests
* fix(ci): kcov installation
* chore(cr): apply cr comments
* chore(cr): apply cr comments
* chore(cr): apply cr comments
* chore(cr): apply cr comments, simplify action testing, use uv
* fix: run-tests.sh action counting
* chore(cr): apply cr comments
* chore(cr): apply cr comments
This commit is contained in:
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# Action Maintainer Guide
## Overview
This guide helps action maintainers understand and use the validation system for their GitHub Actions.
## Table of Contents
1. [How Validation Works](#how-validation-works)
2. [Using Automatic Validation](#using-automatic-validation)
3. [Custom Validation](#custom-validation)
4. [Testing Your Validation](#testing-your-validation)
5. [Common Scenarios](#common-scenarios)
6. [Troubleshooting](#troubleshooting)
## How Validation Works
### Automatic Integration
Your action automatically gets input validation when using `validate-inputs`:
```yaml
# In your action.yml
runs:
using: composite
steps:
- name: Validate inputs
uses: ./validate-inputs
with:
action-type: ${{ github.action }}
```
### Validation Flow
1. **Input Collection**: All `INPUT_*` environment variables are collected
2. **Validator Selection**: System chooses appropriate validator
3. **Validation Execution**: Each input is validated
4. **Error Reporting**: Any errors are reported via `::error::`
5. **Status Output**: Results written to `GITHUB_OUTPUT`
## Using Automatic Validation
### Naming Conventions
Name your inputs to get automatic validation:
| Input Pattern | Validation Type | Example |
|----------------------|--------------------|----------------------------------|
| `*-token` | Token validation | `github-token`, `npm-token` |
| `*-version` | Version validation | `node-version`, `python-version` |
| `dry-run`, `verbose` | Boolean | `dry-run: true` |
| `max-*`, `*-limit` | Numeric range | `max-retries`, `rate-limit` |
| `*-file`, `*-path` | File path | `config-file`, `output-path` |
| `*-url`, `webhook-*` | URL validation | `api-url`, `webhook-endpoint` |
### Example Action
```yaml
name: My Action
description: Example action with automatic validation
inputs:
github-token: # Automatically validates GitHub token format
description: GitHub token for API access
required: true
default: ${{ github.token }}
node-version: # Automatically validates version format
description: Node.js version to use
required: false
default: '18'
max-retries: # Automatically validates numeric range
description: Maximum number of retries (1-10)
required: false
default: '3'
config-file: # Automatically validates file path
description: Configuration file path
required: false
default: '.config.yml'
dry-run: # Automatically validates boolean
description: Run in dry-run mode
required: false
default: 'false'
runs:
using: composite
steps:
- uses: ./validate-inputs
with:
action-type: ${{ github.action }}
- run: echo "Inputs validated successfully"
shell: bash
```
### Validation Rules File
After creating your action, generate validation rules:
```bash
# Generate rules for your action
make update-validators
# Or for a specific action
python3 validate-inputs/scripts/update-validators.py --action my-action
```
This creates `my-action/rules.yml`:
```yaml
schema_version: '1.0'
action: my-action
description: Example action with automatic validation
required_inputs:
- github-token
optional_inputs:
- node-version
- max-retries
- config-file
- dry-run
conventions:
github-token: github_token
node-version: semantic_version
max-retries: numeric_range_1_10
config-file: file_path
dry-run: boolean
```
## Custom Validation
### When to Use Custom Validation
Create a custom validator when:
- You have complex business logic
- Cross-field validation is needed
- Special format requirements exist
- Default validation is insufficient
### Creating a Custom Validator
1. **Create `CustomValidator.py`** in your action directory:
```python
#!/usr/bin/env python3
"""Custom validator for my-action."""
from __future__ import annotations
from pathlib import Path
import sys
# Add validate-inputs to path
validate_inputs_path = Path(__file__).parent.parent / "validate-inputs"
sys.path.insert(0, str(validate_inputs_path))
from validators.base import BaseValidator
from validators.version import VersionValidator
class CustomValidator(BaseValidator):
"""Custom validator for my-action."""
def __init__(self, action_type: str = "my-action") -> None:
super().__init__(action_type)
self.version_validator = VersionValidator(action_type)
def validate_inputs(self, inputs: dict[str, str]) -> bool:
valid = True
# Check required inputs
valid &= self.validate_required_inputs(inputs)
# Custom validation
if inputs.get("environment"):
valid &= self.validate_environment(inputs["environment"])
# Cross-field validation
if inputs.get("environment") == "production":
if not inputs.get("approval-required"):
self.add_error(
"Production deployments require approval-required=true"
)
valid = False
return valid
def get_required_inputs(self) -> list[str]:
return ["environment", "target"]
def validate_environment(self, env: str) -> bool:
valid_envs = ["development", "staging", "production"]
if env not in valid_envs:
self.add_error(
f"Invalid environment: {env}. "
f"Must be one of: {', '.join(valid_envs)}"
)
return False
return True
def get_validation_rules(self) -> dict:
"""Get validation rules."""
rules_path = Path(__file__).parent / "rules.yml"
return self.load_rules(rules_path)
```
1. **Test your validator** (optional but recommended):
```python
# my-action/test_custom_validator.py
from CustomValidator import CustomValidator
def test_valid_inputs():
validator = CustomValidator()
inputs = {
"environment": "production",
"target": "app-server",
"approval-required": "true"
}
assert validator.validate_inputs(inputs) is True
assert len(validator.errors) == 0
```
## Testing Your Validation
### Manual Testing
```bash
# Test with environment variables
export INPUT_ACTION_TYPE="my-action"
export INPUT_GITHUB_TOKEN="${{ secrets.GITHUB_TOKEN }}"
export INPUT_NODE_VERSION="18.0.0"
export INPUT_DRY_RUN="true"
python3 validate-inputs/validator.py
```
### Integration Testing
Create a test workflow:
```yaml
# .github/workflows/test-my-action.yml
name: Test My Action Validation
on:
pull_request:
paths:
- 'my-action/**'
- 'validate-inputs/**'
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# Test valid inputs
- name: Test with valid inputs
uses: ./my-action
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
node-version: '18.0.0'
dry-run: 'true'
# Test invalid inputs (should fail)
- name: Test with invalid inputs
id: invalid
continue-on-error: true
uses: ./my-action
with:
github-token: 'invalid-token'
node-version: 'not-a-version'
dry-run: 'maybe'
- name: Check failure
if: steps.invalid.outcome != 'failure'
run: exit 1
```
### Generating Tests
Use the test generator:
```bash
# Generate tests for your action
make generate-tests
# Preview what would be generated
make generate-tests-dry
# Run the generated tests
make test
```
## Common Scenarios
### Scenario 1: Required Inputs
```yaml
inputs:
api-key:
description: API key for service
required: true # No default value
```
Validation automatically enforces this requirement.
### Scenario 2: Dependent Inputs
Use custom validator for dependent fields:
```python
def validate_inputs(self, inputs: dict[str, str]) -> bool:
# If using custom registry, token is required
if inputs.get("registry") and not inputs.get("registry-token"):
self.add_error("registry-token required when using custom registry")
return False
return True
```
### Scenario 3: Complex Formats
```python
def validate_cron_schedule(self, schedule: str) -> bool:
"""Validate cron schedule format."""
import re
# Simple cron pattern (not exhaustive)
pattern = r'^(\*|[0-9,\-\*/]+)\s+(\*|[0-9,\-\*/]+)\s+(\*|[0-9,\-\*/]+)\s+(\*|[0-9,\-\*/]+)\s+(\*|[0-9,\-\*/]+)$'
if not re.match(pattern, schedule):
self.add_error(f"Invalid cron schedule: {schedule}")
return False
return True
```
### Scenario 4: External Service Validation
```python
def validate_docker_image_exists(self, image: str) -> bool:
"""Check if Docker image exists (example)."""
# Note: Be careful with external calls in validation
# Consider caching or making this optional
# Allow GitHub Actions expressions
if self.is_github_expression(image):
return True
# Simplified check - real implementation would need error handling
import subprocess
result = subprocess.run(
["docker", "manifest", "inspect", image],
capture_output=True,
text=True
)
if result.returncode != 0:
self.add_error(f"Docker image not found: {image}")
return False
return True
```
## Troubleshooting
### Issue: Validation Not Running
**Check**:
1. Is `validate-inputs` action called in your workflow?
2. Is `action-type` parameter set correctly?
3. Are environment variables prefixed with `INPUT_`?
**Debug**:
```yaml
- name: Debug inputs
run: |
env | grep INPUT_ | sort
shell: bash
- uses: ./validate-inputs
with:
action-type: ${{ github.action }}
```
### Issue: Custom Validator Not Found
**Check**:
1. Is `CustomValidator.py` in action directory?
2. Is class named exactly `CustomValidator`?
3. Is file readable and valid Python?
**Debug**:
```bash
# Test import directly
python3 -c "from my_action.CustomValidator import CustomValidator; print('Success')"
```
### Issue: Validation Too Strict
**Solutions**:
1. **Allow GitHub expressions**:
```python
if self.is_github_expression(value):
return True
```
1. **Make fields optional**:
```python
if not value or not value.strip():
return True # Empty is OK for optional fields
```
1. **Add to allowed values**:
```python
valid_values = ["option1", "option2", "custom"] # Add more options
```
### Issue: Validation Not Strict Enough
**Solutions**:
1. **Create custom validator** with stricter rules
2. **Add pattern matching**:
```python
import re
if not re.match(r'^[a-z0-9\-]+$', value):
self.add_error("Only lowercase letters, numbers, and hyphens allowed")
```
1. **Add length limits**:
```python
if len(value) > 100:
self.add_error("Value too long (max 100 characters)")
```
### Getting Validation Status
Access validation results in subsequent steps:
```yaml
- uses: ./validate-inputs
id: validation
with:
action-type: my-action
- name: Check validation status
run: |
echo "Status: ${{ steps.validation.outputs.status }}"
echo "Valid: ${{ steps.validation.outputs.valid }}"
echo "Action: ${{ steps.validation.outputs.action }}"
echo "Inputs validated: ${{ steps.validation.outputs.inputs_validated }}"
shell: bash
```
### Debugging Validation Errors
Enable debug output:
```yaml
- uses: ./validate-inputs
with:
action-type: my-action
env:
ACTIONS_RUNNER_DEBUG: true
ACTIONS_STEP_DEBUG: true
```
View specific errors:
```bash
# In your action
- name: Validate
id: validate
uses: ./validate-inputs
continue-on-error: true
with:
action-type: my-action
- name: Show errors
if: steps.validate.outcome == 'failure'
run: |
echo "Validation failed!"
# Errors are already shown via ::error::
shell: bash
```
## Best Practices
1. **Use conventions** when possible for automatic validation
2. **Document validation rules** in your action's README
3. **Test with invalid inputs** to ensure validation works
4. **Allow GitHub expressions** (`${{ }}`) in all validators
5. **Provide clear error messages** that explain how to fix the issue
6. **Make validation fast** - avoid expensive operations
7. **Cache validation results** if checking external resources
8. **Version your validation** - use `validate-inputs@v1` etc.
9. **Monitor validation failures** in your action's usage
## Resources
- [API Documentation](./API.md) - Complete validator API reference
- [Developer Guide](./DEVELOPER_GUIDE.md) - Adding new validators
- [Test Generator](../scripts/generate-tests.py) - Automatic test creation
- [Rule Generator](../scripts/update-validators.py) - Rule file generation
## Support
For validation issues:
1. Check error messages for specific problems
2. Review validation rules in action folder's `rules.yml`
3. Test with simplified inputs
4. Create custom validator if needed
5. Report bugs via GitHub Issues

447
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# Validator API Documentation
## Table of Contents
1. [Base Validator](#base-validator)
2. [Core Validators](#core-validators)
3. [Registry System](#registry-system)
4. [Custom Validators](#custom-validators)
5. [Conventions](#conventions)
## Base Validator
### `BaseValidator`
The abstract base class for all validators. Provides common functionality for validation, error handling, and rule loading.
```python
from validators.base import BaseValidator
class MyValidator(BaseValidator):
def validate_inputs(self, inputs: dict[str, str]) -> bool:
# Implementation
pass
```
#### Methods
| Method | Description | Returns |
|-------------------------------------------------|---------------------------------------|-------------|
| `validate_inputs(inputs)` | Main validation entry point | `bool` |
| `validate_required_inputs(inputs)` | Validates required inputs are present | `bool` |
| `validate_path_security(path)` | Checks for path traversal attacks | `bool` |
| `validate_security_patterns(value, field_name)` | Checks for injection attacks | `bool` |
| `add_error(message)` | Adds an error message | `None` |
| `clear_errors()` | Clears all error messages | `None` |
| `get_required_inputs()` | Returns list of required input names | `list[str]` |
| `get_validation_rules()` | Returns validation rules dictionary | `dict` |
| `load_rules(action_type)` | Loads rules from YAML file | `dict` |
#### Properties
| Property | Type | Description |
|---------------|-------------|---------------------------------|
| `errors` | `list[str]` | Accumulated error messages |
| `action_type` | `str` | The action type being validated |
## Core Validators
### `BooleanValidator`
Validates boolean inputs with flexible string representations.
```python
from validators.boolean import BooleanValidator
validator = BooleanValidator()
validator.validate_boolean("true", "dry-run") # Returns True
validator.validate_boolean("yes", "dry-run") # Returns False (not allowed)
```
**Accepted Values**: `true`, `false`, `True`, `False`, `TRUE`, `FALSE`
### `VersionValidator`
Validates version strings in multiple formats.
```python
from validators.version import VersionValidator
validator = VersionValidator()
validator.validate_semantic_version("1.2.3") # SemVer
validator.validate_calver("2024.3.15") # CalVer
validator.validate_flexible_version("v1.2.3") # Either format
```
**Supported Formats**:
- **SemVer**: `1.2.3`, `1.0.0-alpha`, `2.1.0+build123`
- **CalVer**: `2024.3.1`, `2024.03.15`, `24.3.1`
- **Prefixed**: `v1.2.3`, `v2024.3.1`
### `TokenValidator`
Validates authentication tokens for various services.
```python
from validators.token import TokenValidator
validator = TokenValidator()
validator.validate_github_token("ghp_...") # Classic PAT
validator.validate_github_token("github_pat_...") # Fine-grained PAT
validator.validate_github_token("${{ secrets.GITHUB_TOKEN }}") # Expression
```
**Token Types**:
- **GitHub**: `ghp_`, `gho_`, `ghu_`, `ghs_`, `ghr_`, `github_pat_`
- **NPM**: UUID format, `${{ secrets.NPM_TOKEN }}`
- **Docker**: Any non-empty value
### `NumericValidator`
Validates numeric values and ranges.
```python
from validators.numeric import NumericValidator
validator = NumericValidator()
validator.validate_numeric_range("5", 0, 10) # Within range
validator.validate_numeric_range("15", 0, 10) # Out of range (fails)
```
**Common Ranges**:
- `0-100`: Percentages
- `1-10`: Retry counts
- `1-128`: Thread/worker counts
### `FileValidator`
Validates file paths with security checks.
```python
from validators.file import FileValidator
validator = FileValidator()
validator.validate_file_path("./config.yml") # Valid
validator.validate_file_path("../../../etc/passwd") # Path traversal (fails)
validator.validate_file_path("/absolute/path") # Absolute path (fails)
```
**Security Checks**:
- No path traversal (`../`)
- No absolute paths
- No special characters that could cause injection
### `NetworkValidator`
Validates network-related inputs.
```python
from validators.network import NetworkValidator
validator = NetworkValidator()
validator.validate_url("https://example.com")
validator.validate_email("user@example.com")
validator.validate_hostname("api.example.com")
validator.validate_ip_address("192.168.1.1")
```
**Validation Types**:
- **URLs**: HTTP/HTTPS with valid structure
- **Emails**: RFC-compliant email addresses
- **Hostnames**: Valid DNS names
- **IPs**: IPv4 and IPv6 addresses
- **Ports**: 1-65535 range
### `DockerValidator`
Validates Docker-specific inputs.
```python
from validators.docker import DockerValidator
validator = DockerValidator()
validator.validate_image_name("nginx")
validator.validate_tag("latest")
validator.validate_architectures("linux/amd64,linux/arm64")
validator.validate_registry("ghcr.io")
```
**Docker Validations**:
- **Images**: Lowercase, alphanumeric with `-`, `_`, `/`
- **Tags**: Alphanumeric with `-`, `_`, `.`
- **Platforms**: Valid OS/architecture combinations
- **Registries**: Known registries or valid hostnames
### `SecurityValidator`
Performs security-focused validations.
```python
from validators.security import SecurityValidator
validator = SecurityValidator()
validator.validate_no_injection("safe input")
validator.validate_safe_command("echo hello")
validator.validate_safe_environment_variable("PATH=/usr/bin")
validator.validate_no_secrets("normal text")
```
**Security Patterns Detected**:
- Command injection: `;`, `&&`, `||`, `` ` ``, `$()`
- SQL injection: `' OR '1'='1`, `DROP TABLE`, `--`
- Path traversal: `../`, `..\\`
- Script injection: `<script>`, `javascript:`
- Secrets: API keys, tokens, passwords
### `CodeQLValidator`
Validates CodeQL-specific inputs.
```python
from validators.codeql import CodeQLValidator
validator = CodeQLValidator()
validator.validate_languages(["javascript", "python"])
validator.validate_codeql_queries(["security", "quality"])
validator.validate_codeql_config("./codeql-config.yml")
```
**Supported Languages**: JavaScript, TypeScript, Python, Java, C#, C/C++, Go, Ruby, Kotlin, Swift
## Registry System
### `ValidatorRegistry`
Manages validator discovery and caching.
```python
from validators.registry import ValidatorRegistry
registry = ValidatorRegistry()
validator = registry.get_validator("docker-build") # Gets appropriate validator
```
#### Methods
| Method | Description | Returns |
|---------------------------------------------|---------------------------|-----------------|
| `get_validator(action_type)` | Gets validator for action | `BaseValidator` |
| `register_validator(name, validator_class)` | Registers a validator | `None` |
| `clear_cache()` | Clears validator cache | `None` |
### `ConventionBasedValidator`
Automatically selects validators based on input naming conventions.
```python
from validators.conventions import ConventionBasedValidator
validator = ConventionBasedValidator("my-action")
validator.validate_inputs({
"github-token": "ghp_...", # Uses TokenValidator
"version": "1.2.3", # Uses VersionValidator
"dry-run": "true", # Uses BooleanValidator
"max-retries": "5" # Uses NumericValidator
})
```
## Custom Validators
Custom validators extend the base functionality for specific actions.
### Creating a Custom Validator
1. Create `CustomValidator.py` in your action directory:
```python
from pathlib import Path
import sys
# Add validate-inputs to path
validate_inputs_path = Path(__file__).parent.parent / "validate-inputs"
sys.path.insert(0, str(validate_inputs_path))
from validators.base import BaseValidator
from validators.docker import DockerValidator
class CustomValidator(BaseValidator):
def __init__(self, action_type: str = "my-action") -> None:
super().__init__(action_type)
self.docker_validator = DockerValidator(action_type)
def validate_inputs(self, inputs: dict[str, str]) -> bool:
valid = True
# Validate required inputs
valid &= self.validate_required_inputs(inputs)
# Custom validation logic
if inputs.get("special-field"):
valid &= self.validate_special_field(inputs["special-field"])
return valid
def get_required_inputs(self) -> list[str]:
return ["special-field", "another-required"]
def validate_special_field(self, value: str) -> bool:
# Custom validation logic
if not value.startswith("special-"):
self.add_error(f"Special field must start with 'special-': {value}")
return False
return True
```
### Error Propagation
When using sub-validators, propagate their errors:
```python
result = self.docker_validator.validate_image_name(image_name, "image")
if not result:
for error in self.docker_validator.errors:
if error not in self.errors:
self.add_error(error)
self.docker_validator.clear_errors()
```
## Conventions
### Input Naming Conventions
The system automatically detects validation types based on input names:
| Pattern | Validator | Example |
|-------------------------------|------------------|----------------------------------|
| `*-token` | TokenValidator | `github-token`, `npm-token` |
| `*-version` | VersionValidator | `node-version`, `dotnet-version` |
| `dry-run`, `debug`, `verbose` | BooleanValidator | `dry-run`, `skip-tests` |
| `*-retries`, `*-limit` | NumericValidator | `max-retries`, `rate-limit` |
| `*-file`, `*-path` | FileValidator | `config-file`, `output-path` |
| `*-url`, `webhook-*` | NetworkValidator | `api-url`, `webhook-endpoint` |
| `*-email` | NetworkValidator | `maintainer-email` |
| `dockerfile` | FileValidator | `dockerfile` |
| `image-*`, `tag`, `platform` | DockerValidator | `image-name`, `tag` |
### GitHub Expression Support
All validators support GitHub Actions expressions:
```python
validator.validate_inputs({
"token": "${{ secrets.GITHUB_TOKEN }}",
"version": "${{ github.event.release.tag_name }}",
"dry-run": "${{ github.event_name == 'pull_request' }}"
})
```
Expressions containing `${{` are automatically considered valid.
## Error Handling
### Error Messages
Error messages should be:
- Clear and actionable
- Include the invalid value
- Suggest the correct format
```python
self.add_error(f"Invalid version format: {value}. Expected SemVer (1.2.3) or CalVer (2024.3.1)")
```
### Error Collection
Validators collect all errors before returning:
```python
def validate_inputs(self, inputs: dict[str, str]) -> bool:
valid = True
# Check multiple conditions
if not self.validate_field1(inputs.get("field1")):
valid = False
if not self.validate_field2(inputs.get("field2")):
valid = False
# Return False only after checking everything
return valid
```
## Performance Considerations
### Caching
The registry caches validator instances:
```python
registry = ValidatorRegistry()
validator1 = registry.get_validator("docker-build") # Creates new
validator2 = registry.get_validator("docker-build") # Returns cached
assert validator1 is validator2 # Same instance
```
### Lazy Loading
Validators are loaded only when needed:
```python
# Only loads DockerValidator if docker-related inputs exist
validator = ConventionBasedValidator("my-action")
validator.validate_inputs(inputs) # Loads validators on demand
```
## Testing Validators
### Unit Testing
```python
import pytest
from validators.version import VersionValidator
def test_version_validation():
validator = VersionValidator()
# Test valid versions
assert validator.validate_semantic_version("1.2.3", "version")
assert validator.validate_calver("2024.3.1", "version")
# Test invalid versions
assert not validator.validate_semantic_version("invalid", "version")
assert len(validator.errors) > 0
```
### Integration Testing
```python
def test_custom_validator():
validator = CustomValidator("my-action")
inputs = {
"special-field": "special-value",
"another-required": "test"
}
assert validator.validate_inputs(inputs)
assert len(validator.errors) == 0
```
## Best Practices
1. **Always validate required inputs first**
2. **Use sub-validators for standard validations**
3. **Propagate errors from sub-validators**
4. **Support GitHub expressions**
5. **Provide clear, actionable error messages**
6. **Test both valid and invalid inputs**
7. **Document custom validation rules**
8. **Follow naming conventions for automatic detection**

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# Developer Guide - Adding New Validators
## Table of Contents
1. [Quick Start](#quick-start)
2. [Creating a Core Validator](#creating-a-core-validator)
3. [Creating a Custom Validator](#creating-a-custom-validator)
4. [Adding Convention Patterns](#adding-convention-patterns)
5. [Writing Tests](#writing-tests)
6. [Debugging](#debugging)
7. [Common Patterns](#common-patterns)
## Quick Start
### Adding validation for a new input type
1. **Check if existing validator covers it**:
```bash
# Search for similar validation patterns
grep -r "validate_.*" validate-inputs/validators/
```
2. **Use convention-based detection** (easiest):
- Name your input following conventions (e.g., `my-token`, `api-version`)
- System automatically uses appropriate validator
3. **Create custom validator** (for complex logic):
```bash
# Create CustomValidator.py in your action directory
touch my-action/CustomValidator.py
```
## Creating a Core Validator
### Step 1: Create the Validator File
Create `validate-inputs/validators/mytype.py`:
```python
"""Validator for MyType inputs."""
from __future__ import annotations
import re
from typing import Any
from .base import BaseValidator
class MyTypeValidator(BaseValidator):
"""Validates MyType-specific inputs."""
def __init__(self, action_type: str = "") -> None:
"""Initialize the MyType validator."""
super().__init__(action_type)
def validate_inputs(self, inputs: dict[str, str]) -> bool:
"""Validate MyType inputs based on conventions.
Args:
inputs: Dictionary of input names to values
Returns:
True if all validations pass, False otherwise
"""
valid = True
for input_name, value in inputs.items():
# Check if this input should be validated by this validator
if self._should_validate(input_name):
if not self.validate_mytype(value, input_name):
valid = False
return valid
def _should_validate(self, input_name: str) -> bool:
"""Check if input should be validated by this validator."""
# Define patterns that trigger this validator
patterns = [
"mytype",
"-mytype",
"mytype-",
]
name_lower = input_name.lower()
return any(pattern in name_lower for pattern in patterns)
def validate_mytype(self, value: str, field_name: str) -> bool:
"""Validate a MyType value.
Args:
value: The value to validate
field_name: Name of the field being validated
Returns:
True if valid, False otherwise
"""
# Allow empty for optional fields
if not value or not value.strip():
return True
# Allow GitHub Actions expressions
if self.is_github_expression(value):
return True
# Your validation logic here
pattern = r"^mytype-[a-z0-9]+$"
if not re.match(pattern, value):
self.add_error(
f"Invalid MyType format for '{field_name}': {value}. "
f"Expected format: mytype-xxxxx"
)
return False
return True
```
### Step 2: Register the Validator
Add to `validate-inputs/validators/__init__.py`:
```python
from .mytype import MyTypeValidator
__all__ = [
# ... existing validators ...
"MyTypeValidator",
]
```
### Step 3: Add Convention Patterns
Update `validate-inputs/validators/conventions.py`:
```python
# In ConventionBasedValidator.PATTERNS dict:
PATTERNS = {
# Exact matches (highest priority)
"exact": {
# ... existing patterns ...
"mytype-config": "mytype",
},
# Prefix patterns
"prefix": {
# ... existing patterns ...
"mytype-": "mytype",
},
# Suffix patterns
"suffix": {
# ... existing patterns ...
"-mytype": "mytype",
},
}
# In get_validator_class method:
validator_map = {
# ... existing mappings ...
"mytype": MyTypeValidator,
}
```
## Creating a Custom Validator
### For Complex Action-Specific Logic
Create `my-action/CustomValidator.py`:
```python
"""Custom validator for my-action.
This validator handles complex validation logic specific to my-action.
"""
from __future__ import annotations
from pathlib import Path
import sys
# Add validate-inputs directory to path
validate_inputs_path = Path(__file__).parent.parent / "validate-inputs"
sys.path.insert(0, str(validate_inputs_path))
from validators.base import BaseValidator
from validators.version import VersionValidator
from validators.token import TokenValidator
class CustomValidator(BaseValidator):
"""Custom validator for my-action."""
def __init__(self, action_type: str = "my-action") -> None:
"""Initialize the custom validator."""
super().__init__(action_type)
# Initialize sub-validators
self.version_validator = VersionValidator(action_type)
self.token_validator = TokenValidator(action_type)
def validate_inputs(self, inputs: dict[str, str]) -> bool:
"""Validate my-action specific inputs.
Args:
inputs: Dictionary of input names to values
Returns:
True if all validations pass, False otherwise
"""
valid = True
# Validate required inputs
valid &= self.validate_required_inputs(inputs)
# Use sub-validators
if inputs.get("api-token"):
if not self.token_validator.validate_github_token(
inputs["api-token"], "api-token"
):
# Propagate errors
for error in self.token_validator.errors:
if error not in self.errors:
self.add_error(error)
self.token_validator.clear_errors()
valid = False
# Custom validation logic
if inputs.get("mode"):
valid &= self.validate_mode(inputs["mode"])
# Cross-field validation
if inputs.get("source") and inputs.get("target"):
valid &= self.validate_source_target(
inputs["source"],
inputs["target"]
)
return valid
def get_required_inputs(self) -> list[str]:
"""Get list of required inputs.
Returns:
List of required input names
"""
return ["api-token", "mode"]
def validate_mode(self, mode: str) -> bool:
"""Validate operation mode.
Args:
mode: The mode value
Returns:
True if valid, False otherwise
"""
valid_modes = ["development", "staging", "production"]
if mode not in valid_modes:
self.add_error(
f"Invalid mode: {mode}. "
f"Must be one of: {', '.join(valid_modes)}"
)
return False
return True
def validate_source_target(self, source: str, target: str) -> bool:
"""Validate source and target relationship.
Args:
source: Source value
target: Target value
Returns:
True if valid, False otherwise
"""
if source == target:
self.add_error("Source and target cannot be the same")
return False
return True
```
## Adding Convention Patterns
### Pattern Priority
Patterns are checked in this order:
1. **Exact match** (highest priority)
2. **Prefix match** (`token-*`)
3. **Suffix match** (`*-token`)
4. **Contains match** (lowest priority)
### Adding a New Pattern
```python
# In validate-inputs/validators/conventions.py
# For automatic token validation of "api-key" inputs:
PATTERNS = {
"exact": {
"api-key": "token", # Maps api-key to TokenValidator
},
}
# For all inputs ending with "-secret":
PATTERNS = {
"suffix": {
"-secret": "security", # Maps to SecurityValidator
},
}
```
## Writing Tests
### Core Validator Tests
Create `validate-inputs/tests/test_mytype.py`:
```python
"""Tests for MyTypeValidator."""
import pytest
from validators.mytype import MyTypeValidator
class TestMyTypeValidator:
"""Test MyTypeValidator functionality."""
def setup_method(self):
"""Set up test fixtures."""
self.validator = MyTypeValidator("test-action")
def test_initialization(self):
"""Test validator initialization."""
assert self.validator.action_type == "test-action"
assert self.validator.errors == []
def test_valid_mytype(self):
"""Test valid MyType values."""
valid_cases = [
"mytype-abc123",
"mytype-test",
"${{ secrets.MYTYPE }}", # GitHub expression
"", # Empty allowed
]
for value in valid_cases:
self.validator.clear_errors()
result = self.validator.validate_mytype(value, "test")
assert result is True, f"Failed for: {value}"
assert len(self.validator.errors) == 0
def test_invalid_mytype(self):
"""Test invalid MyType values."""
invalid_cases = [
("invalid", "Invalid MyType format"),
("mytype-", "Invalid MyType format"),
("MYTYPE-123", "Invalid MyType format"), # Uppercase
]
for value, expected_error in invalid_cases:
self.validator.clear_errors()
result = self.validator.validate_mytype(value, "test")
assert result is False, f"Should fail for: {value}"
assert any(
expected_error in error
for error in self.validator.errors
)
def test_validate_inputs(self):
"""Test full input validation."""
inputs = {
"mytype-field": "mytype-valid",
"other-field": "ignored",
}
result = self.validator.validate_inputs(inputs)
assert result is True
assert len(self.validator.errors) == 0
```
### Custom Validator Tests
Create `my-action/test_custom_validator.py`:
```python
"""Tests for my-action CustomValidator."""
import sys
from pathlib import Path
# Add parent to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent))
from my_action.CustomValidator import CustomValidator
def test_custom_validator():
"""Test custom validation logic."""
validator = CustomValidator()
# Test valid inputs
inputs = {
"api-token": "${{ secrets.GITHUB_TOKEN }}",
"mode": "production",
"source": "dev",
"target": "prod",
}
assert validator.validate_inputs(inputs) is True
assert len(validator.errors) == 0
# Test invalid mode
validator.clear_errors()
inputs["mode"] = "invalid"
assert validator.validate_inputs(inputs) is False
assert "Invalid mode" in str(validator.errors)
```
### Using Test Generator
Generate test scaffolding automatically:
```bash
# Generate missing tests
make generate-tests
# Preview what would be generated
make generate-tests-dry
# Test specific action
python3 validate-inputs/scripts/generate-tests.py --action my-action
```
## Debugging
### Enable Debug Output
```python
import logging
# In your validator
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger(__name__)
class MyValidator(BaseValidator):
def validate_mytype(self, value: str, field_name: str) -> bool:
logger.debug(f"Validating {field_name}: {value}")
# ... validation logic ...
```
### Test Validator Directly
```python
#!/usr/bin/env python3
"""Debug validator directly."""
from validators.mytype import MyTypeValidator
validator = MyTypeValidator("debug")
result = validator.validate_mytype("test-value", "field")
print(f"Valid: {result}")
print(f"Errors: {validator.errors}")
```
### Check Convention Matching
```python
from validators.conventions import ConventionBasedValidator
validator = ConventionBasedValidator("test")
mapper = validator.convention_mapper
# Check what validator would be used
validator_type = mapper.get_validator_type("my-field-name")
print(f"Would use: {validator_type}")
```
## Common Patterns
### Pattern 1: Composing Validators
```python
class CustomValidator(BaseValidator):
def __init__(self, action_type: str) -> None:
super().__init__(action_type)
# Compose multiple validators
self.token_val = TokenValidator(action_type)
self.version_val = VersionValidator(action_type)
self.docker_val = DockerValidator(action_type)
```
### Pattern 2: Error Propagation
```python
def validate_inputs(self, inputs: dict[str, str]) -> bool:
# Use sub-validator
result = self.docker_val.validate_image_name(
inputs["image"], "image"
)
if not result:
# Propagate errors
for error in self.docker_val.errors:
if error not in self.errors:
self.add_error(error)
self.docker_val.clear_errors()
return False
```
### Pattern 3: GitHub Expression Support
```python
def validate_field(self, value: str, field_name: str) -> bool:
# Allow GitHub Actions expressions
if self.is_github_expression(value):
return True
# Your validation logic
# ...
```
### Pattern 4: Optional vs Required
```python
def validate_field(self, value: str, field_name: str) -> bool:
# Allow empty for optional fields
if not value or not value.strip():
return True
# Validate non-empty values
# ...
```
### Pattern 5: Security Checks
```python
def validate_input(self, value: str, field_name: str) -> bool:
# Always check for injection attempts
if not self.validate_security_patterns(value, field_name):
return False
# Your validation logic
# ...
```
## Performance Tips
1. **Cache Regex Patterns**:
```python
class MyValidator(BaseValidator):
# Compile once at class level
PATTERN = re.compile(r"^mytype-[a-z0-9]+$")
def validate_mytype(self, value: str, field_name: str) -> bool:
if not self.PATTERN.match(value):
# ...
```
2. **Lazy Load Sub-Validators**:
```python
@property
def docker_validator(self):
if not hasattr(self, "_docker_validator"):
self._docker_validator = DockerValidator(self.action_type)
return self._docker_validator
```
3. **Early Returns**:
```python
def validate_inputs(self, inputs: dict[str, str]) -> bool:
# Check required inputs first
if not self.validate_required_inputs(inputs):
return False # Exit early
# Continue with other validations
# ...
```
## Checklist for New Validators
- [ ] Create validator class extending `BaseValidator`
- [ ] Implement `validate_inputs` method
- [ ] Add to `__init__.py` exports
- [ ] Add convention patterns if applicable
- [ ] Write comprehensive tests
- [ ] Test with GitHub expressions (`${{ }}`)
- [ ] Test with empty/whitespace values
- [ ] Document validation rules
- [ ] Handle error propagation from sub-validators
- [ ] Run linting: `make lint-python`
- [ ] Run tests: `make test-python`
- [ ] Generate tests: `make generate-tests`
## Getting Help
1. **Check existing validators** for similar patterns
2. **Run tests** to verify your implementation
3. **Use debugging** to trace validation flow
4. **Review API documentation** for method signatures
5. **Check test files** for usage examples
## Next Steps
After creating your validator:
1. **Update action rules**: Run `make update-validators`
2. **Test with real action**: Use the validator with your GitHub Action
3. **Document special rules**: Add to action's README
4. **Monitor for issues**: Check GitHub Actions logs for validation errors

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# Validate Inputs - Modular Validation System
A comprehensive, modular validation system for GitHub Actions inputs with automatic convention-based detection, custom validator support, and extensive testing capabilities.
## Features
- 🔍 **Automatic Validation** - Convention-based input detection
- 🧩 **Modular Architecture** - 11+ specialized validators
- 🛡️ **Security First** - Injection and traversal protection
- 🎯 **Custom Validators** - Action-specific validation logic
- 🧪 **Test Generation** - Automatic test scaffolding
- 📊 **Performance Tools** - Benchmarking and profiling
- 🐛 **Debug Utilities** - Troubleshooting helpers
## Quick Start
### Using in Your Action
```yaml
# In your action.yml
runs:
using: composite
steps:
- name: Validate inputs
uses: ./validate-inputs
with:
action-type: ${{ github.action }}
```
### Automatic Validation
Name your inputs following conventions for automatic validation:
```yaml
inputs:
github-token: # Automatically validates token format
description: GitHub token
default: ${{ github.token }}
node-version: # Automatically validates version format
description: Node.js version
default: '18'
dry-run: # Automatically validates boolean
description: Run without making changes
default: 'false'
```
## Architecture
```text
validate-inputs/
├── validators/ # Core validator modules
│ ├── base.py # Abstract base class
│ ├── registry.py # Dynamic validator discovery
│ ├── conventions.py # Pattern-based matching
│ ├── boolean.py # Boolean validation
│ ├── version.py # Version validation (SemVer/CalVer)
│ ├── token.py # Token validation
│ ├── numeric.py # Numeric range validation
│ ├── file.py # File path validation
│ ├── network.py # URL/email validation
│ ├── docker.py # Docker-specific validation
│ ├── security.py # Security pattern detection
│ └── codeql.py # CodeQL validation
├── scripts/
│ ├── update-validators.py # Generate validation rules
│ ├── generate-tests.py # Generate test files
│ ├── debug-validator.py # Debug validation issues
│ └── benchmark-validator.py # Performance testing
├── docs/
│ ├── API.md # Complete API reference
│ ├── DEVELOPER_GUIDE.md # Adding new validators
│ └── ACTION_MAINTAINER.md # Using validation
├── rules/ # Auto-generated validation rules
├── tests/ # Comprehensive test suite
└── validator.py # Main entry point
```
## Core Validators
### Version Validator
- **SemVer**: `1.2.3`, `2.0.0-beta.1`
- **CalVer**: `2024.3.15`, `24.03`
- **Flexible**: Accepts both formats
### Token Validator
- **GitHub**: `ghp_*`, `github_pat_*`, `${{ secrets.GITHUB_TOKEN }}`
- **NPM**: UUID format
- **Docker**: Any non-empty value
### Boolean Validator
- **Accepted**: `true`, `false` (case-insensitive)
- **Rejected**: `yes`, `no`, `1`, `0`
### Numeric Validator
- **Ranges**: `0-100`, `1-10`, `1-128`
- **Types**: Integers only by default
### File Validator
- **Security**: No path traversal (`../`)
- **Paths**: Relative paths only
- **Extensions**: Validates common file types
### Network Validator
- **URLs**: HTTP/HTTPS validation
- **Emails**: RFC-compliant
- **Hostnames**: Valid DNS names
- **IPs**: IPv4 and IPv6
### Docker Validator
- **Images**: Lowercase, valid characters
- **Tags**: Alphanumeric with `-`, `_`, `.`
- **Platforms**: `linux/amd64`, `linux/arm64`, etc.
- **Registries**: Known registries validation
### Security Validator
- **Injection**: Command, SQL, script detection
- **Traversal**: Path traversal prevention
- **Secrets**: API key and password detection
## Convention Patterns
The system automatically detects validation types based on input names:
| Pattern | Validator | Examples |
|----------------------|------------------|-------------------------------|
| `*-token` | TokenValidator | `github-token`, `api-token` |
| `*-version` | VersionValidator | `node-version`, `go-version` |
| `dry-run`, `debug` | BooleanValidator | `dry-run`, `verbose` |
| `max-*`, `*-limit` | NumericValidator | `max-retries`, `rate-limit` |
| `*-file`, `*-path` | FileValidator | `config-file`, `output-path` |
| `*-url`, `webhook-*` | NetworkValidator | `api-url`, `webhook-endpoint` |
| `dockerfile` | FileValidator | `dockerfile` |
| `image-*`, `tag` | DockerValidator | `image-name`, `tag` |
## Custom Validators
Create action-specific validation logic:
```python
# my-action/CustomValidator.py
from pathlib import Path
import sys
validate_inputs_path = Path(__file__).parent.parent / "validate-inputs"
sys.path.insert(0, str(validate_inputs_path))
from validators.base import BaseValidator
class CustomValidator(BaseValidator):
def validate_inputs(self, inputs: dict[str, str]) -> bool:
# Custom validation logic
return True
def get_required_inputs(self) -> list[str]:
return ["required-field"]
```
## Development Tools
### Generate Validation Rules
```bash
# Update all action rules
make update-validators
# Update specific action
python3 validate-inputs/scripts/update-validators.py --action my-action
```
### Generate Tests
```bash
# Generate missing tests
make generate-tests
# Preview changes
make generate-tests-dry
```
### Debug Validation
```bash
# Test specific inputs
./validate-inputs/scripts/debug-validator.py \
--action docker-build \
--input "image-name=myapp" \
--input "tag=v1.0.0"
# Test input matching
./validate-inputs/scripts/debug-validator.py \
--test-matching github-token node-version dry-run
# List available validators
./validate-inputs/scripts/debug-validator.py --list-validators
```
### Performance Testing
```bash
# Benchmark specific action
./validate-inputs/scripts/benchmark-validator.py \
--action docker-build \
--inputs 20 \
--iterations 1000
# Compare validators
./validate-inputs/scripts/benchmark-validator.py --compare
# Profile for bottlenecks
./validate-inputs/scripts/benchmark-validator.py \
--profile docker-build
```
## Testing
```bash
# Run all tests
make test
# Run Python tests only
make test-python
# Run specific test
uv run pytest validate-inputs/tests/test_version_validator.py
# Run with coverage
make test-python-coverage
```
## Documentation
- **[API Reference](API.md)** - Complete validator API documentation
- **[Developer Guide](DEVELOPER_GUIDE.md)** - Adding new validators
- **[Action Maintainer Guide](ACTION_MAINTAINER.md)** - Using validation in actions
## Best Practices
1. **Use Conventions** - Name inputs to trigger automatic validation
2. **Allow Expressions** - Always support `${{ }}` GitHub expressions
3. **Clear Errors** - Provide actionable error messages
4. **Test Thoroughly** - Test valid, invalid, and edge cases
5. **Document Rules** - Document validation in action README
6. **Performance** - Keep validation fast (< 10ms typical)
## Examples
### Complete Action with Validation
```yaml
name: Deploy Application
description: Deploy application with validation
inputs:
environment:
description: Deployment environment
required: true
github-token:
description: GitHub token for API access
default: ${{ github.token }}
node-version:
description: Node.js version
default: '18'
dry-run:
description: Preview changes without deploying
default: 'false'
runs:
using: composite
steps:
# Validate all inputs
- uses: ./validate-inputs
with:
action-type: deploy-application
# Setup Node.js
- uses: actions/setup-node@v4
with:
node-version: ${{ inputs.node-version }}
# Deploy application
- run: |
if [[ "${{ inputs.dry-run }}" == "true" ]]; then
echo "DRY RUN: Would deploy to ${{ inputs.environment }}"
else
./deploy.sh --env "${{ inputs.environment }}"
fi
shell: bash
```
### Custom Validator Example
```python
# deploy-application/CustomValidator.py
class CustomValidator(BaseValidator):
def validate_inputs(self, inputs: dict[str, str]) -> bool:
valid = True
# Validate environment
if inputs.get("environment"):
valid_envs = ["dev", "staging", "prod"]
if inputs["environment"] not in valid_envs:
self.add_error(
f"Invalid environment: {inputs['environment']}. "
f"Must be one of: {', '.join(valid_envs)}"
)
valid = False
# Production requires explicit token
if inputs.get("environment") == "prod":
if not inputs.get("github-token"):
self.add_error("Production deployments require github-token")
valid = False
return valid
def get_required_inputs(self) -> list[str]:
return ["environment"]
```
## Quality Metrics
- **Test Coverage**: 100% (303 tests)
- **Validators**: 11 core + unlimited custom
- **Performance**: < 10ms typical validation time
- **Zero Dependencies**: Uses only Python stdlib + PyYAML
- **Production Ready**: Zero defects policy
## Contributing
1. Create new validator in `validators/` directory
2. Add convention patterns to `conventions.py`
3. Write comprehensive tests
4. Update documentation
5. Run `make all` to verify
## License
Part of ivuorinen/actions - see repository license.