Changelog

All notable changes to ValidateX are documented here. This project follows Semantic Versioning.

v1.2.0 - 2026-06-16

Airflow Integration fix: ValidateXOperator now correctly computes quality score via result.compute_quality_score() and resolves failed columns from result.results list (previously used non-existent attributes)
20 unit tests for ValidateXOperator covering CSV, Parquet, gate pass/fail, HTML report generation, unsupported formats, and XCom output
USER_GUIDE.md: comprehensive step-by-step guide covering all engines, CLI, YAML config, Airflow, CI/CD, custom expectations, and troubleshooting
PySpark data quality example (examples/spark_data_quality.py): end-to-end e-commerce orders dataset with 15+ checks and HTML/JSON reports
MANIFEST.in: ensures README, LICENSE, CHANGELOG, and templates are bundled in source distributions

ValidateXOperator.execute() bug: result.score → result.compute_quality_score()
ValidateXOperator.execute() bug: result.columns.items() → result.results list
ValidateXOperator.execute() bug: result.passed_count / result.failed_count → len(passed) / len(failed) from filtered result.results
Airflow integration no longer raises ImportError at module load time; error is deferred to operator instantiation so non-Airflow users are unaffected

python_requires updated from >=3.8 to >=3.9 (aligns with pandas 2.x)
requirements.txt cleaned up: removed pyspark as hard dependency (it is an optional extra — pip install "validatex[spark]")
Added sqlalchemy to requirements.txt core deps
Expanded PyPI classifiers: Python 3.12, OS Independent, Scientific/Engineering

Push-Down SQL Native Validation engine (SQLAlchemy-based)
Data Drift Detection with Population Stability Index (PSI)
Apache Airflow ValidateXOperator integration
Sequential / time-series expectations (increasing, decreasing)
Conditional / cross-row expectations (null_when, not_null_when, satisfy)
20 advanced column expectations (email, URL, UUID, ISO date, phone, JSON, etc.)
YAML / JSON declarative suite configuration
CLI interface (validatex validate, profile, run, init, list-expectations)
Data profiler with auto-suggest (DataProfiler)