csv-schema-validator 0.1.1

CSV file validation against given data schema.

csv-schema-validator

Here's how to publish your package to PyPI so everyone can install it with pip install csv-schema-validator:

1. Install build tools

pip install build twine

2. Build the package

python -m build

This creates dist/ folder with your package files.

3. Upload to PyPI

For Test PyPI first (recommended):

python -m twine upload --repository testpypi dist/*

Test with: pip install --index-url https://test.pypi.org/simple/ csv-schema-validator

For real PyPI:

python -m twine upload dist/*

4. You'll be prompted for credentials:

• Username: your PyPI username
• Password: your PyPI password (or API token)

5. After publishing, anyone can install:

pip install csv-schema-validator

Important notes:

• Version numbers: Each upload needs a new version number in pyproject.toml
• Package name: Make sure csv-schema-validator isn't already taken on PyPI (you might need to change the name)
• Test first: Always test with Test PyPI before uploading to real PyPI
• API tokens: Consider using PyPI API tokens instead of passwords for security

Try Test PyPI first to make sure everything works!

---

pip install -e .

python3 -m venv .venv

source .venv/bin/activate

deactivate

Run with coverage:

pytest --cov=src/csv_schema_validator --cov-report=html

Run specific test file:

pytest tests/test_validate_csv.py

pytest src/csv_schema_validator/tests/test_validate_csv.py pytest src/csv_schema_validator/tests/test_cli.py -v

Run specific test:

pytest tests/test_validate_csv.py::TestValidateCSV::test_validate_csv_valid_file