validatex.config package

Submodules

validatex.config.loader module

Config loader — read YAML / JSON checkpoint files.

A checkpoint file ties together a data source and an expectation suite so that validations can be run declaratively from the CLI.

class validatex.config.loader.CheckpointConfig(name: str = 'default_checkpoint', suite_path: str = '', data_source: Dict[str, ~typing.Any]=<factory>, engine: str = 'pandas', report: Dict[str, ~typing.Any]=<factory>)[source]

Bases: object

Represents a checkpoint configuration.

name

Checkpoint name.

Type:: str

suite_path

Path to the expectation suite YAML/JSON file.

Type:: str

data_source

Data source configuration (type, path, query, etc.).

Type:: dict

engine

Engine to use: "pandas" or "spark".

Type:: str

report

Report configuration (format, output_path).

Type:: dict

data_source: Dict[str, Any]

engine: str = 'pandas'

load_data(spark_session: Any = None) → Any[source]: Load data based on the data source configuration.

load_suite() → ExpectationSuite[source]: Load the expectation suite from the configured path.

name: str = 'default_checkpoint'

report: Dict[str, Any]

suite_path: str = ''

validatex.config.loader.load_checkpoint(filepath: str) → CheckpointConfig[source]

Load a checkpoint configuration from a YAML or JSON file.

Parameters:: filepath (str) – Path to the checkpoint config file.
Return type:: CheckpointConfig

Module contents

Configuration module.