robo-automation-test-kit 1.0.2

Complete automation testing starter kit with pytest plugin, HTML reports, charts, and parallel execution support

Robo Automation Test Kit

A comprehensive pytest plugin for test automation reporting with interactive HTML reports, chart visualizations, and support for parallel test execution.

Features

• 🧪 Pytest Plugin Integration - Seamless pytest hook-based integration
• 📊 Interactive HTML Reports - Beautiful, interactive test reports with charts
• 📈 Data Visualization - Multiple chart types:
  • Test status summary charts
  • Category breakdown analysis
  • Phase analysis
  • Center-based metrics
  • Status distribution by center
• 🔄 Parallel Execution Support - Built-in support for pytest-xdist
• 📑 CSV/Excel Data Parametrization - Load test data from CSV and Excel files
• 🎨 Customizable Reports - Extend reports with custom attributes and metrics
• 🚀 Zero Configuration - Works out of the box with sensible defaults

Installation

Basic Installation

pip install robo-automation-test-kit

With Optional Features

# For parallel test execution
pip install robo-automation-test-kit[parallel]

# For Selenium-based browser automation
pip install robo-automation-test-kit[selenium]

# For system utilities
pip install robo-automation-test-kit[utils]

# For development
pip install robo-automation-test-kit[pytest]

# All features combined
pip install robo-automation-test-kit[pytest,selenium,parallel,utils]

Using Poetry

poetry add robo-automation-test-kit

Quick Start

1. Basic Test Setup

Create a test file tests/test_example.py:

import pytest

class TestExample:
    def test_login_success(self):
        """User successfully logs in with valid credentials"""
        assert True
    
    def test_dashboard_loads(self):
        """Dashboard page loads and displays correctly"""
        assert True
    
    @pytest.mark.skip(reason="Feature not implemented")
    def test_future_feature(self):
        """This feature is planned for next release"""
        pass

2. Run Tests

# Run with default settings (parallel execution enabled by default)
pytest

# Run serially (disable parallel execution)
pytest -n 1

# Run specific test file
pytest tests/test_example.py::TestExample::test_login_success

3. View Report

After tests complete, open the generated HTML report:

reports/test_report_<timestamp>.html

4. Parameterized Tests with CSV Data

Create test data file data/TestData.csv:

username,password,expected_result
[e-mail],ValidPass123,success
[e-mail],WrongPass,failure
[e-mail],ValidPass456,success

Create test with parametrization tests/test_login.py:

import pytest

class TestLogin:
    @pytest.mark.datafile("TestData.csv")
    def test_login_with_data(self, row):
        """Login test with parameterized data: {username}"""
        username = row['username']
        password = row['password']
        expected = row['expected_result']
        
        # Your test logic here
        result = login(username, password)
        assert result == expected

Configuration

pytest.ini

Basic configuration is pre-configured in pytest.ini:

[pytest]
addopts = -n logical --capture=tee-sys
markers = 
    datafile: Mark test to use CSV/Excel data parametrization

Environment Variables

Control test behavior via environment variables:

# Windows PowerShell
$env:LOG_LEVEL="DEBUG"
$env:PARALLEL_EXECUTION="N"  # Disable parallel execution
$env:PROJECT_NAME="My Project"
$env:APP_ENV="staging"
$env:TEST_FRAMEWORK="pytest"

# Run tests
pytest

# Linux/macOS
export LOG_LEVEL=DEBUG
export PARALLEL_EXECUTION=N
export PROJECT_NAME="My Project"

pytest

Dynamic Logging

Control pytest log level at runtime:

# Windows PowerShell
$env:LOG_LEVEL="WARNING"
pytest --log-cli-level=$env:LOG_LEVEL

# Linux/macOS
export LOG_LEVEL=WARNING
pytest --log-cli-level=$LOG_LEVEL

Valid log levels: CRITICAL, ERROR, WARNING, INFO, DEBUG, NOTSET

Advanced Usage

Customize Report Titles

pytest --robo-report-title="Smoke Tests - Sprint 45"

Custom Report Attributes

Extend conftest.py with the robo_modify_report_row hook:

def robo_modify_report_row(report_row, test_data):
    """Add custom attributes to each test result"""
    report_row['phase'] = test_data.get('Phase', 'General')
    report_row['category'] = test_data.get('Request Category', 'Functional')
    report_row['center'] = test_data.get('Center', 'HQ')

Disable Parallel Execution Conditionally

# Via environment variable
export PARALLEL_EXECUTION=N
pytest

# Via command line
pytest -n 1

Report Structure

Generated HTML reports include:

• Summary Dashboard - Quick overview of test results
• Status Charts - Visual breakdown of PASSED/FAILED/SKIPPED tests
• Category Analysis - Test distribution by category
• Phase Breakdown - Test distribution by phase
• Results Table - Detailed results with test names, duration, status, and logs
• Error Details - Full error messages and stack traces for failed tests

Architecture

robo_automation_test_kit/
├── plugin.py                 # Pytest hook implementations
├── hookspec.py              # Hook specifications
├── utils/
│   ├── RoboHelper.py        # Core utilities (CSV loading, result aggregation)
│   └── reports/
│       ├── HtmlReportUtils.py       # HTML generation
│       └── EmailReportUtils.py      # Email notifications (future)
└── templates/
    └── html_report/
        ├── html_template.html       # Main template
        └── components/
            ├── summary-chart.html
            ├── category-chart.html
            ├── phase-chart.html
            ├── center-chart.html
            ├── status-center-chart.html
            └── results-table.html

Data Flow

1. Tests execute via pytest (with optional xdist parallelization)
2. Plugin captures test results via pytest_runtest_makereport hook
3. Custom attributes injected via robo_modify_report_row hook
4. Results aggregated in pytest_sessionfinish
5. HTML report generated in pytest_unconfigure

Extension Points

Custom Report Metrics

Modify RoboHelper.aggregate_test_results() to compute custom metrics:

def robo_modify_report_row(report_row, test_data):
    """Custom metric: Execution environment"""
    report_row['environment'] = os.getenv('APP_ENV', 'production')
    report_row['execution_date'] = datetime.now().strftime('%Y-%m-%d')

Email Notifications

Extend pytest_unconfigure hook in conftest to send reports via email:

from robo_automation_test_kit.utils.reports.EmailReportUtils import send_report

def pytest_unconfigure(config):
    """Send report via email after test completion"""
    report_path = config.robo_report_path
    send_report(report_path, to_addresses=['[e-mail]'])

Troubleshooting

Missing Test Attributes

• Verify robo_modify_report_row() is defined in conftest.py (not plugin.py)
• Ensure CSV columns match field names in the hook

Template Not Found

• Check templates/html_report/ directory exists in project root
• Verify templates are included in package via MANIFEST.in

CSV Encoding Errors

• Plugin automatically tries: utf-8-sig → latin-1 → utf-8
• For manual fixes, ensure CSV is UTF-8 encoded

Parallel Execution Issues

• Verify pytest-xdist is installed: pip install pytest-xdist
• Check pytest.ini has -n logical option
• Disable via PARALLEL_EXECUTION=N or -n 1

Common Commands

# Run all tests with default parallel execution
pytest

# Run serially (no parallelization)
pytest -n 1

# Run specific test
pytest tests/test_example.py::test_function

# Run with verbose output
pytest -v

# Run with specific log level
pytest --log-cli-level=DEBUG

# Run only failed tests from last run
pytest --lf

# Show print statements
pytest -s

# Generate report with custom title
pytest --robo-report-title="Custom Title"

Development

Local Development Setup

# Install in editable mode with all dev dependencies
poetry install

# Run tests
poetry run pytest

# Build package
poetry build

# Publish to PyPI (requires credentials)
poetry publish

Prerequisites

• Python 3.8+
• pytest >= 7.4.0
• pandas >= 2.2.0
• jinja2 >= 3.0.0

License

MIT License - see LICENSE file for details

Contributing

Contributions are welcome! Please follow these guidelines:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Make your changes and add tests
4. Commit with clear messages (git commit -m 'Add amazing feature')
5. Push to the branch (git push origin feature/amazing-feature)
6. Open a Pull Request

Support

For issues, questions, or suggestions:

• Open an issue on GitHub
• Check existing documentation
• Review test examples in tests/ directory

Related Projects

• pytest - Testing framework
• pytest-xdist - Parallel test execution
• pandas - Data manipulation
• Jinja2 - Template engine

Changelog

Version 1.0.0 (2026-02-03)

• Initial release
• Pytest plugin with HTML reporting
• CSV/Excel parametrization
• Parallel execution support (xdist)
• Interactive chart visualizations
• Customizable report attributes

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Happy Testing! 🧪