sqltesty 0.1.4

Test SQL files using DuckDB and CSV fixtures

SQLTest

A command-line tool to test SQL queries using DuckDB and CSV fixtures.

Installation

pip install .

Usage

The sqltest command looks for SQL files in your project and tests them against fixture data.

# Run all SQL tests with default settings
sqltest

# Specify a custom test directory
sqltest --test-dir=custom/tests/path

# Run with verbose output
sqltest --verbose

The verbose output now includes enhanced error highlighting with color coding:

• Green for matching values and passed tests
• Red for mismatched values and failed tests
• Yellow for structural differences

Key features of the enhanced output:

• Vertical alignment of differences for improved visual clarity
• Row-by-row comparison that clearly shows which specific rows have issues
• Color-coded output to quickly identify discrepancies
• Detailed column analysis to understand patterns in the data

This makes it easier to identify and fix issues in your SQL queries, especially when dealing with complex datasets.

Test Structure

• Place your SQL files anywhere in your repository
• Create a test directory (default: tests/sqltest)
• For each SQL file, create a subdirectory with the same name (without extension)
• Within each subdirectory, place:
  • output.csv: The expected output of your SQL query
  • Other CSV files named after tables referenced in your SQL query

Example Structure

/your-project
  /some-dir
    query1.sql
    query2.sql
  /tests
    /sqltest
      /query1
        customers.csv     # Table data
        products.csv      # Table data
        output.csv        # Expected query result
      /query2
        table1.csv        # Table data
        output.csv        # Expected query result

Development

# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

If you want to run the examples, just do

cd examples

sqltest