Module Contents


ValidationOperatorResult(run_id: RunIdentifier, run_results: Dict[ValidationResultIdentifier, Dict[str, Union[ExpectationSuiteValidationResult, dict, str]]], validation_operator_config: dict, evaluation_parameters: dict = None, success: Optional[bool] = None)

The run_results property forms the backbone of this type and defines the basic contract for what a validation

ValidationOperatorResultSchema(*, only: types.StrSequenceOrSet = None, exclude: types.StrSequenceOrSet = (), many: bool = False, context: typing.Dict = None, load_only: types.StrSequenceOrSet = (), dump_only: types.StrSequenceOrSet = (), partial: typing.Union[bool, types.StrSequenceOrSet] = False, unknown: str = None)

Base schema class with which to define custom schemas.

class great_expectations.validation_operators.types.validation_operator_result.ValidationOperatorResult(run_id: RunIdentifier, run_results: Dict[ValidationResultIdentifier, Dict[str, Union[ExpectationSuiteValidationResult, dict, str]]], validation_operator_config: dict, evaluation_parameters: dict = None, success: Optional[bool] = None)

Bases: great_expectations.types.DictDot

The run_results property forms the backbone of this type and defines the basic contract for what a validation operator’s run method returns. It is a dictionary where the top-level keys are the ValidationResultIdentifiers of the validation results generated in the run. Each value is a dictionary having at minimum, a validation_result key; this dictionary can contain other keys that are relevant for a specific validation operator implementation. For example, the dictionary from a WarningAndFailureExpectationSuitesValidationOperator would have an extra key named “expectation_suite_severity_level” to indicate if the suite is at either a “warning” or “failure” level, as well as an “actions_results” key.

e.g. {

ValidationResultIdentifier: {

“validation_result”: ExpectationSuiteValidationResult, “actions_results”: {}



property validation_operator_config(self)
property run_results(self)
property run_id(self)
property evaluation_parameters(self)
property success(self)
list_validation_results(self, group_by=None)
list_data_assets_validated(self, group_by: str = None)

Return repr(self).

class great_expectations.validation_operators.types.validation_operator_result.ValidationOperatorResultSchema(*, only: types.StrSequenceOrSet = None, exclude: types.StrSequenceOrSet = (), many: bool = False, context: typing.Dict = None, load_only: types.StrSequenceOrSet = (), dump_only: types.StrSequenceOrSet = (), partial: typing.Union[bool, types.StrSequenceOrSet] = False, unknown: str = None)

Bases: great_expectations.marshmallow__shade.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from great_expectations.marshmallow__shade import Schema, fields

class Album:
    title: str

class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()

album = Album("Beggars Banquet",, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}
  • only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.

  • exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.

  • many – Should be set to True if obj is a collection so that the object will be serialized to a list.

  • context – Optional context passed to fields.Method and fields.Function fields.

  • load_only – Fields to skip during serialization (write-only fields)

  • dump_only – Fields to skip during deserialization (read-only fields)

  • partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.

  • unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Changed in version 3.0.0: prefix parameter removed.

Changed in version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

prepare_dump(self, data, **kwargs)
make_validation_operator_result(self, data, **kwargs)