notice

This is documentation for Rasa Open Source Documentation v2.0.x, which is no longer actively maintained.
For up-to-date documentation, see the latest version (2.1.x).

Version: 2.0.x

rasa.shared.utils.validation

YamlValidationException Objects

class YamlValidationException(YamlException, ValueError)

Raised if a yaml file does not correspond to the expected schema.

__init__

| __init__(message: Text, validation_errors: Optional[List[SchemaError.SchemaErrorEntry]] = None, filename: Optional[Text] = None, content: Any = None) -> None

Create The Error.

Arguments:

  • message - error message
  • validation_errors - validation errors
  • filename - name of the file which was validated
  • content - yaml content loaded from the file (used for line information)

validate_yaml_schema

validate_yaml_schema(yaml_file_content: Text, schema_path: Text) -> None

Validate yaml content.

Arguments:

  • yaml_file_content - the content of the yaml file to be validated
  • schema_path - the schema of the yaml file

validate_training_data

validate_training_data(json_data: Dict[Text, Any], schema: Dict[Text, Any]) -> None

Validate rasa training data format to ensure proper training.

Arguments:

  • json_data - the data to validate
  • schema - the schema

Raises:

ValidationError if validation fails.

validate_training_data_format_version

validate_training_data_format_version(yaml_file_content: Dict[Text, Any], filename: Optional[Text]) -> bool

Validates version on the training data content using version field and warns users if the file is not compatible with the current version of Rasa Open Source.

Arguments:

  • yaml_file_content - Raw content of training data file as a dictionary.
  • filename - Name of the validated file.

Returns:

True if the file can be processed by current version of Rasa Open Source, False otherwise.