Create Python package with Python 3.11, Docker, and pip+venv support

[Copilot]

This PR transforms the repository into a complete Python package that supports Python 3.11+ with both Docker containerization and traditional pip+venv package management workflows.

What's Added

Package Structure

• Modern Python packaging using pyproject.toml following PEP 621 standards
• Source layout with src/gdpval_base/ containing the main package code
• Comprehensive test suite with pytest, achieving 100% test coverage
• Development tools including black, isort, flake8, and mypy for code quality

Docker Integration

• Multi-stage Dockerfile using Python 3.11-slim base image
• Docker Compose configuration with separate development and production services
• Virtual environment setup within containers for isolated dependencies
• Optimized builds with proper .dockerignore configuration

Package Management

• Traditional pip workflow with requirements.txt and requirements-dev.txt
• Virtual environment automation via scripts/setup.sh for easy local development
• Development scripts (scripts/dev.sh) for common tasks (test, lint, format, run)
• Make targets for build automation and workflow standardization

Core Functionality

The package provides a GDPvalAnalyzer class for GDP data analysis:

from gdpval_base import GDPvalAnalyzer

# Initialize and load data
analyzer = GDPvalAnalyzer()
analyzer.load_data("gdp_data.csv")

# Perform analysis
results = analyzer.analyze()
print(f"Analyzed {results['total_rows']} countries")

Usage Options

Local Development with venv:

./scripts/setup.sh          # Setup virtual environment
source .venv/bin/activate   # Activate environment
./scripts/dev.sh run        # Run the package

Docker Development:

docker-compose up gdpval-base    # Interactive development
docker-compose up gdpval-base-prod  # Production mode

Direct Docker:

docker build -t gdpval-base .
docker run -it gdpval-base

Verification

• ✅ 9 tests passing with full coverage
• ✅ Code quality checks (black, isort, flake8, mypy)
• ✅ Package installation in development mode
• ✅ Example script demonstrating GDP data analysis
• ✅ Cross-platform compatibility for different development preferences

This implementation provides flexibility for different development workflows while maintaining consistency in package management and code quality standards.

Original prompt

create a python package that has python 3.11.* installed that uses Docker and pip + venv package managers.

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✨ Let Copilot coding agent set things up for you — coding agent works faster and does higher quality work when set up for your repo.

[sourcery-ai]

New security issues found

[sourcery-ai]

security (python.requests.best-practice.use-timeout): Detected a 'requests' call without a timeout set. By default, 'requests' calls wait until the connection is closed. This means a 'requests' call without a timeout will hang the program if a response is never received. Consider setting a timeout for all 'requests'.

Suggested change

	response = requests.get(data_source)
	response = requests.get(data_source, timeout=30)

Source: opengrep