adaptsapi 0.1.9

CLI to enqueue triggers via internal API Gateway → SNS

AdaptsAPI Client

A Python client library and CLI for the Adapts API, designed for triggering documentation generation via API Gateway → SNS.

Features

• 🚀 Simple Python Client for making API calls to Adapts services
• 🔑 Secure token management with environment variables or local config
• 📄 Flexible payload support via JSON files or inline data
• 🔧 Configurable endpoints with default endpoint support
• ✅ Built-in payload validation for documentation generation requests
• 🧪 Comprehensive test suite with 98% code coverage
• 🤖 GitHub Actions integration for automated wiki documentation
• 📦 CLI tool for command-line usage

Installation

From PyPI

pip install adaptsapi

From Source

git clone https://github.com/adaptsai/adaptsapi.git
cd adaptsapi
pip install -e .

Quick Start

1. Set up your API token

You can provide your API token in three ways (in order of precedence):

1. Environment variable (recommended for CI/CD):

   export ADAPTS_API_KEY="your-api-token-here"
   

2. Local config file (config.json in current directory):

   {
     "token": "your-api-token-here",
     "endpoint": "https://your-api-endpoint.com/prod/generate_wiki_docs"
   }
   

3. Interactive prompt (first-time setup):

   adaptsapi --data '{"test": "payload"}'
   # CLI will prompt for token and save to config.json
   

2. Using the Python Client

from adaptsapi.generate_docs import post, PayloadValidationError

# Create your payload
payload = {
    "email_address": "[e-mail]",
    "user_name": "john_doe",
    "repo_object": {
        "repository_name": "my-repo",
        "source": "github",
        "repository_url": "https://github.com/user/my-repo",
        "branch": "main",
        "size": "12345",
        "language": "python",
        "is_private": False,
        "git_provider_type": "github",
        "refresh_token": "github_token_here"
    }
}

# Make the API call
try:
    response = post(
        "https://api.adapts.ai/prod/generate_wiki_docs",
        "your-api-token",
        payload
    )
    response.raise_for_status()
    result = response.json()
    print("✅ Success:", result)
except PayloadValidationError as e:
    print(f"❌ Validation error: {e}")
except Exception as e:
    print(f"❌ API error: {e}")

3. Using the CLI

Using inline JSON data:

adaptsapi \
  --endpoint "https://api.adapts.ai/prod/generate_wiki_docs" \
  --data '{"email_address": "[e-mail]", "user_name": "john_doe", "repo_object": {...}}'

Using a JSON payload file:

adaptsapi \
  --endpoint "https://api.adapts.ai/prod/generate_wiki_docs" \
  --payload-file payload.json

Testing

The library includes a comprehensive test suite with 98% code coverage.

Running Tests

Quick Test Run

# Run all tests
python -m pytest

# Run with verbose output
python -m pytest -v

# Run specific test file
python -m pytest tests/test_generate_docs.py

# Run with coverage report
python -m pytest --cov=src/adaptsapi --cov-report=html

Using the Test Runner

# Run unit tests only (fast, no external dependencies)
python run_tests.py --type unit

# Run integration tests (requires API key)
python run_tests.py --type integration

# Run all tests with coverage
python run_tests.py --type coverage

# Run with custom API key
python run_tests.py --type integration --api-key "your-api-key"

Test Categories

• Unit Tests: Fast tests that mock external dependencies
• Integration Tests: Tests that make real API calls (marked with @pytest.mark.integration)
• CLI Tests: Tests for command-line interface functionality
• Config Tests: Tests for configuration management

Test Coverage

The test suite covers:

• ✅ Payload Validation: All validation logic and error cases
• ✅ Metadata Population: Automatic metadata generation
• ✅ API Calls: HTTP request handling and error management
• ✅ CLI Functionality: Command-line argument parsing and file handling
• ✅ Configuration: Token loading and config file management

Demo Script

Run the demonstration script to see the library in action:

python test_generate_docs_demo.py

This script shows:

• Payload validation examples
• Metadata population demonstration
• API call structure
• Real API testing (if API key is available)

Usage

Command Line Options

adaptsapi [OPTIONS]

Option	Description	Required
--endpoint URL	Full URL of the API endpoint	Yes (unless set in config.json)
--data JSON	Inline JSON payload string	Yes (or --payload-file)
--payload-file FILE	Path to JSON payload file	Yes (or --data)
--timeout SECONDS	Request timeout in seconds (default: 30)	No

Payload Structure

For documentation generation, your payload should follow this structure:

{
  "email_address": "[e-mail]",
  "user_name": "github_username",
  "repo_object": {
    "repository_name": "my-repo",
    "source": "github",
    "repository_url": "https://github.com/user/my-repo",
    "branch": "main",
    "size": "12345",
    "language": "python",
    "is_private": false,
    "git_provider_type": "github",
    "refresh_token": "github_token_here"
  }
}

Required Fields

• email_address: Valid email address
• user_name: Username string
• repo_object.repository_name: Repository name
• repo_object.repository_url: Full repository URL
• repo_object.branch: Branch name
• repo_object.size: Repository size as string
• repo_object.language: Primary programming language
• repo_object.source: Source platform (e.g., "github")

Optional Fields

• repo_object.is_private: Boolean indicating if repo is private
• repo_object.git_provider_type: Git provider type
• repo_object.installation_id: Installation ID (for GitHub Apps)
• repo_object.refresh_token: Refresh token for authentication
• repo_object.commit_hash: Specific commit hash
• repo_object.commit_message: Commit message
• repo_object.commit_author: Commit author
• repo_object.directory_name: Specific directory to process

GitHub Actions Integration

This package is designed to work seamlessly with GitHub Actions for automated documentation generation. Here's an example workflow:

name: Generate Wiki Docs

on:
  pull_request:
    branches: [ main ]
    types: [ closed ]

jobs:
  call-adapts-api:
    if: github.event.pull_request.merged == true
    runs-on: ubuntu-latest
    
    steps:
      - uses: actions/checkout@v4
      
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.11"
          
      - name: Install adaptsapi
        run: pip install adaptsapi
        
      - name: Generate documentation
        env:
          ADAPTS_API_KEY: ${{ secrets.ADAPTS_API_KEY }}
        run: |
          python -c "
          import os
          from adaptsapi.generate_docs import post
          
          payload = {
              'email_address': '${{ github.actor }}@users.noreply.github.com',
              'user_name': '${{ github.actor }}',
              'repo_object': {
                  'repository_name': '${{ github.event.repository.name }}',
                  'source': 'github',
                  'repository_url': '${{ github.event.repository.html_url }}',
                  'branch': 'main',
                  'size': '0',
                  'language': 'python',
                  'is_private': False,
                  'git_provider_type': 'github',
                  'refresh_token': '${{ secrets.GITHUB_TOKEN }}'
              }
          }
          
          resp = post(
              'https://your-api-endpoint.com/prod/generate_wiki_docs',
              os.environ['ADAPTS_API_KEY'],
              payload
          )
          resp.raise_for_status()
          print('✅ Documentation generated successfully')
          "

Setting up GitHub Secrets

1. Go to your repository on GitHub
2. Click Settings → Secrets and variables → Actions
3. Click New repository secret
4. Add ADAPTS_API_KEY with your API token value

Configuration

Config File Format

The config.json file in your current working directory can contain:

{
  "token": "your-api-token-here",
  "endpoint": "https://your-default-endpoint.com/prod/generate_wiki_docs"
}

Environment Variables

• ADAPTS_API_KEY: Your API authentication token (used by the library)
• ADAPTS_API_TOKEN: Alternative token variable (used by CLI)

Error Handling

The library provides comprehensive error handling:

• PayloadValidationError: Raised when payload validation fails
• ConfigError: Raised when no token can be found or loaded
• requests.RequestException: Raised on network failures
• JSONDecodeError: Raised for invalid JSON in config files

Common Error Scenarios

• Missing token: CLI prompts for interactive token input
• Invalid JSON: Shows JSON parsing errors
• API errors: Displays HTTP status codes and error messages
• Payload validation: Shows specific validation failures with field names

Development

Prerequisites

• Python 3.10+
• pip

Setup Development Environment

git clone https://github.com/adaptsai/adaptsapi.git
cd adaptsapi
python -m venv .venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
pip install -r requirements-dev.txt
pip install -e .

Development Dependencies

Install development dependencies for testing and code quality:

pip install -r requirements-dev.txt

This includes:

• pytest - Testing framework
• pytest-cov - Coverage reporting
• pytest-mock - Mocking utilities
• flake8 - Code linting
• mypy - Type checking
• black - Code formatting
• isort - Import sorting

Running Tests

# Run all tests
python -m pytest

# Run with coverage
python -m pytest --cov=src/adaptsapi --cov-report=html

# Run specific test categories
python -m pytest -m "not integration"  # Unit tests only
python -m pytest -m "integration"      # Integration tests only

# Run the test runner
python run_tests.py --type all

Code Quality

# Lint code
flake8 src/adaptsapi tests/

# Type checking
mypy src/adaptsapi/

# Format code
black src/adaptsapi tests/
isort src/adaptsapi tests/

Publishing to PyPI

Prerequisites

Before publishing to PyPI, ensure you have:

1. PyPI Account: Create an account at pypi.org
2. TestPyPI Account: Create an account at test.pypi.org
3. API Tokens: Generate API tokens for both PyPI and TestPyPI
4. Build Tools: Install required build tools

pip install build twine

Build Configuration

The project uses pyproject.toml for build configuration. Key settings:

[project]
name = "adaptsapi"
version = "0.1.4"
description = "CLI to enqueue triggers via internal API Gateway → SNS"
readme = { file = "README.md", content-type = "text/markdown" }
requires-python = ">=3.10"
authors = [
  { name = "VerifyAI Inc.", email = "[e-mail]" }
]
dependencies = [
  "requests",
]

Publishing Steps

1. Prepare for Release

# Clean previous builds
rm -rf build/ dist/ *.egg-info src/*.egg-info

# Update version in pyproject.toml and setup.py
# Edit version numbers in both files

# Run all tests to ensure everything works
python run_tests.py --type all

# Check code quality
flake8 src/adaptsapi tests/
mypy src/adaptsapi/

2. Build Distribution Packages

# Build source distribution and wheel
python -m build

# Verify the built packages
ls -la dist/
# Should show: adaptsapi-0.1.4.tar.gz and adaptsapi-0.1.4-py3-none-any.whl

3. Test on TestPyPI (Recommended)

# Upload to TestPyPI first
python -m twine upload --repository testpypi dist/*

# Test installation from TestPyPI
pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple/ adaptsapi

# Test the installed package
python -c "from adaptsapi.generate_docs import post; print('✅ Package works!')"

4. Publish to PyPI

# Upload to PyPI
python -m twine upload dist/*

# Verify installation from PyPI
pip install adaptsapi

# Test the installed package
python -c "from adaptsapi.generate_docs import post; print('✅ Package published successfully!')"

Automated Publishing with GitHub Actions

Create .github/workflows/publish.yml:

name: Publish to PyPI

on:
  release:
    types: [published]

jobs:
  publish:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
          python-version: "3.10"
          
      - name: Install dependencies
        run: |
          pip install build twine
          pip install -r requirements-dev.txt
          
      - name: Run tests
        run: |
          python run_tests.py --type unit
          
      - name: Build package
        run: python -m build
        
      - name: Publish to TestPyPI
        env:
          TWINE_USERNAME: __token__
          TWINE_PASSWORD: ${{ secrets.TEST_PYPI_API_TOKEN }}
        run: |
          python -m twine upload --repository testpypi dist/*
          
      - name: Publish to PyPI
        env:
          TWINE_USERNAME: __token__
          TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
        run: |
          python -m twine upload dist/*

Environment Variables for CI/CD

Set these secrets in your GitHub repository:

• PYPI_API_TOKEN: Your PyPI API token
• TEST_PYPI_API_TOKEN: Your TestPyPI API token

Version Management

Semantic Versioning

Follow semantic versioning:

• MAJOR.MINOR.PATCH (e.g., 0.1.4)
• MAJOR: Breaking changes
• MINOR: New features, backward compatible
• PATCH: Bug fixes, backward compatible

Update Version Numbers

Update version in these files:

1. pyproject.toml:

   [project]
   version = "0.1.5"  # Update this
   

2. setup.py:

   setup(
       name="adaptsapi",
       version="0.1.5",  # Update this
       # ...
   )
   

Pre-release Checklist

Before publishing, ensure:

• All tests pass: python run_tests.py --type all
• Code is linted: flake8 src/adaptsapi tests/
• Type checking passes: mypy src/adaptsapi/
• Documentation is updated
• Version numbers are updated in both pyproject.toml and setup.py
• CHANGELOG is updated
• Package builds successfully: python -m build
• Package installs correctly: pip install dist/*.whl

Troubleshooting

Common Issues

1. "File already exists" error:

   # Clean previous builds
   rm -rf build/ dist/ *.egg-info src/*.egg-info
   python -m build
   

2. Authentication errors:

   # Check your API token
   python -m twine check dist/*
   

3. Package not found after upload:

   • Wait a few minutes for PyPI to process
   • Check the package page: https://pypi.org/project/adaptsapi/

4. Import errors after installation:

   # Verify package structure
   pip show adaptsapi
   python -c "import adaptsapi; print(adaptsapi.__file__)"
   

Rollback Strategy

If you need to rollback a release:

1. Delete the release (if within 24 hours):

   # Use PyPI web interface to delete the release
   # Go to: https://pypi.org/manage/project/adaptsapi/releases/
   

2. Yank the release (recommended):

   python -m twine delete --username __token__ --password $PYPI_API_TOKEN adaptsapi 0.1.4
   

3. Publish a new patch version with fixes

Security Best Practices

1. Use API tokens instead of username/password
2. Store tokens securely in environment variables or secrets
3. Use TestPyPI for testing before production
4. Verify package contents before uploading
5. Keep dependencies updated and secure

Package Verification

After publishing, verify the package:

# Install from PyPI
pip install adaptsapi

# Test imports
python -c "
from adaptsapi.generate_docs import post, PayloadValidationError
from adaptsapi.cli import main
from adaptsapi.config import load_token
print('✅ All imports successful!')
"

# Test CLI
adaptsapi --help

# Run tests
python -m pytest tests/test_generate_docs.py -v

API Reference

Core Functions

post(endpoint, auth_token, payload, timeout=30)

Make a POST request to the Adapts API with automatic payload validation and metadata population.

Parameters:

• endpoint (str): The API endpoint URL
• auth_token (str): Authentication token
• payload (dict): JSON payload to send
• timeout (int): Request timeout in seconds (default: 30)

Returns:

• requests.Response: The HTTP response object

Raises:

• PayloadValidationError: If payload validation fails
• requests.RequestException: If the HTTP request fails

_validate_payload(payload)

Validate the payload structure and data types.

Parameters:

• payload (dict): The payload to validate

Raises:

• PayloadValidationError: If validation fails

_populate_metadata(payload)

Automatically populate metadata fields in the payload.

Parameters:

• payload (dict): The payload to populate with metadata

CLI Functions

main()

Main CLI entry point that handles argument parsing and API calls.

Configuration Functions

load_token()

Load authentication token from environment variables or config file.

Returns:

• str: The authentication token

Raises:

• ConfigError: If no token can be found

load_default_endpoint()

Load default endpoint from config file.

Returns:

• str | None: The default endpoint URL or None

Project Structure

adaptsapi/
├── src/adaptsapi/
│   ├── __init__.py
│   ├── generate_docs.py    # Main API client functionality
│   ├── cli.py             # Command-line interface
│   └── config.py          # Configuration management
├── tests/
│   ├── conftest.py        # Test fixtures and configuration
│   ├── test_generate_docs.py  # Tests for generate_docs module
│   ├── test_cli.py        # Tests for CLI functionality
│   └── test_config.py     # Tests for configuration management
├── run_tests.py           # Test runner script
├── test_generate_docs_demo.py  # Demonstration script
├── requirements.txt       # Runtime dependencies
├── requirements-dev.txt   # Development dependencies
├── pytest.ini           # Pytest configuration
└── TESTING.md           # Detailed testing guide

License

This software is licensed under the Adapts API Use-Only License v1.0. See LICENSE for details.

Key restrictions:

• ✅ Use the software as-is
• ❌ No modifications allowed
• ❌ No redistribution allowed
• ❌ Commercial use restrictions apply

Support

• 📧 Email: [e-mail]
• 🐛 Issues: GitHub Issues
• 📖 Documentation: This README and TESTING.md

Changelog

v0.1.4 (Latest)

• ✅ Comprehensive test suite with 98% coverage
• ✅ Improved error handling and validation
• ✅ Enhanced CLI functionality
• ✅ Better configuration management
• ✅ Development tools and documentation

v0.1.3

• Patch updates

v0.1.2

• Initial stable release

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