superwise_api.models.policy.policy

class TimeRangeUnit(builtins.str, enum.Enum):

An enumeration.

MINUTE = <TimeRangeUnit.MINUTE: 'MINUTE'>

HOUR = <TimeRangeUnit.HOUR: 'HOUR'>

DAY = <TimeRangeUnit.DAY: 'DAY'>

WEEK = <TimeRangeUnit.WEEK: 'WEEK'>

MONTH = <TimeRangeUnit.MONTH: 'MONTH'>

Inherited Members

enum.Enum: name; value
builtins.str: encode; replace; split; rsplit; join; capitalize; casefold; title; center; count; expandtabs; find; partition; index; ljust; lower; lstrip; rfind; rindex; rjust; rstrip; rpartition; splitlines; strip; swapcase; translate; upper; startswith; endswith; removeprefix; removesuffix; isascii; islower; isupper; istitle; isspace; isdecimal; isdigit; isnumeric; isalpha; isalnum; isidentifier; isprintable; zfill; format; format_map; maketrans

class PolicyStatus(enum.Enum):

An enumeration.

PENDING = <PolicyStatus.PENDING: 'pending'>

HEALTHY = <PolicyStatus.HEALTHY: 'healthy'>

UNHEALTHY = <PolicyStatus.UNHEALTHY: 'unhealthy'>

ERROR = <PolicyStatus.ERROR: 'error'>

NO_DATA = <PolicyStatus.NO_DATA: 'no_data'>

Inherited Members

enum.Enum: name; value

class DataConfigType(builtins.str, enum.Enum):

An enumeration.

STATISTICS = <DataConfigType.STATISTICS: 'statistics'>

DISTRIBUTION_COMPARE = <DataConfigType.DISTRIBUTION_COMPARE: 'distribution_compare'>

Inherited Members

enum.Enum: name; value
builtins.str: encode; replace; split; rsplit; join; capitalize; casefold; title; center; count; expandtabs; find; partition; index; ljust; lower; lstrip; rfind; rindex; rjust; rstrip; rpartition; splitlines; strip; swapcase; translate; upper; startswith; endswith; removeprefix; removesuffix; isascii; islower; isupper; istitle; isspace; isdecimal; isdigit; isnumeric; isalpha; isalnum; isidentifier; isprintable; zfill; format; format_map; maketrans

class DistanceFunction(builtins.str, enum.Enum):

An enumeration.

WASSERSTEIN_DISTANCE = <DistanceFunction.WASSERSTEIN_DISTANCE: 'wasserstein_distance'>

JENSEN_SHANNON_DIVERGENCE = <DistanceFunction.JENSEN_SHANNON_DIVERGENCE: 'jensen_shannon_divergence'>

Inherited Members

enum.Enum: name; value
builtins.str: encode; replace; split; rsplit; join; capitalize; casefold; title; center; count; expandtabs; find; partition; index; ljust; lower; lstrip; rfind; rindex; rjust; rstrip; rpartition; splitlines; strip; swapcase; translate; upper; startswith; endswith; removeprefix; removesuffix; isascii; islower; isupper; istitle; isspace; isdecimal; isdigit; isnumeric; isalpha; isalnum; isidentifier; isprintable; zfill; format; format_map; maketrans

class TimeRangeConfig(pydantic.main.BaseModel):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

field_name: str

unit: TimeRangeUnit

value: int

model_config: ClassVar[pydantic.config.ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields

class DataConfigBase(superwise_api.models.SuperwiseEntity):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

type: DataConfigType

model_config = {'populate_by_name': True, 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields
superwise_api.models.SuperwiseEntity: to_str; to_json; to_dict; from_dict; from_json

class DataConfigStatistics(DataConfigBase):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

type: Literal[<DataConfigType.STATISTICS: 'statistics'>]

query: superwise_api.models.policy.query.Query

time_range_config: TimeRangeConfig

model_config = {'populate_by_name': True, 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields
superwise_api.models.SuperwiseEntity: to_str; to_json; to_dict; from_dict; from_json

class DataConfigDistributionCompare(DataConfigBase):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

type: Literal[<DataConfigType.DISTRIBUTION_COMPARE: 'distribution_compare'>]

query_a: superwise_api.models.policy.query.Query

query_b: superwise_api.models.policy.query.Query

query_a_time_range_config: Optional[TimeRangeConfig]

query_b_time_range_config: Optional[TimeRangeConfig]

distance_function: DistanceFunction

model_config = {'populate_by_name': True, 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields
superwise_api.models.SuperwiseEntity: to_str; to_json; to_dict; from_dict; from_json

class ThresholdTypes(builtins.str, enum.Enum):

An enumeration.

STATIC = <ThresholdTypes.STATIC: 'static'>

MOVING_AVERAGE = <ThresholdTypes.MOVING_AVERAGE: 'moving_average'>

Inherited Members

enum.Enum: name; value
builtins.str: encode; replace; split; rsplit; join; capitalize; casefold; title; center; count; expandtabs; find; partition; index; ljust; lower; lstrip; rfind; rindex; rjust; rstrip; rpartition; splitlines; strip; swapcase; translate; upper; startswith; endswith; removeprefix; removesuffix; isascii; islower; isupper; istitle; isspace; isdecimal; isdigit; isnumeric; isalpha; isalnum; isidentifier; isprintable; zfill; format; format_map; maketrans

class ThresholdSettings(pydantic.main.BaseModel):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

threshold_type: Literal['static', 'moving_average']

def to_dict(self) -> dict:

model_config: ClassVar[pydantic.config.ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields

class StaticThresholdSettings(ThresholdSettings):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

condition_above_value: Optional[float]

condition_below_value: Optional[float]

threshold_type: Literal['static']

model_config: ClassVar[pydantic.config.ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields
ThresholdSettings: to_dict

class MovingAverageThresholdSettings(ThresholdSettings):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

is_violation_above: bool

is_violation_below: bool

violation_deviation: typing.Annotated[float, Gt(gt=0)]

threshold_type: Literal['moving_average']

window_size: typing.Annotated[int, Gt(gt=0)]

model_config: ClassVar[pydantic.config.ConfigDict] = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields
ThresholdSettings: to_dict

class AlertOnStatusDirection(builtins.str, enum.Enum):

An enumeration.

HEALTHY_TO_UNHEALTHY = <AlertOnStatusDirection.HEALTHY_TO_UNHEALTHY: 'HEALTHY_TO_UNHEALTHY'>

UNHEALTHY_TO_HEALTHY = <AlertOnStatusDirection.UNHEALTHY_TO_HEALTHY: 'UNHEALTHY_TO_HEALTHY'>

BOTH = <AlertOnStatusDirection.BOTH: 'BOTH'>

Inherited Members

enum.Enum: name; value
builtins.str: encode; replace; split; rsplit; join; capitalize; casefold; title; center; count; expandtabs; find; partition; index; ljust; lower; lstrip; rfind; rindex; rjust; rstrip; rpartition; splitlines; strip; swapcase; translate; upper; startswith; endswith; removeprefix; removesuffix; isascii; islower; isupper; istitle; isspace; isdecimal; isdigit; isnumeric; isalpha; isalnum; isidentifier; isprintable; zfill; format; format_map; maketrans

DATA_CONFIG = DataConfigStatistics | DataConfigDistributionCompare

class Policy(superwise_api.models.SuperwiseEntity):

Usage docs: https://docs.pydantic.dev/2.10/concepts/models/

A base class for creating Pydantic models.

Attributes:

__class_vars__: The names of the class variables defined on the model.
__private_attributes__: Metadata about the private attributes of the model.
__signature__: The synthesized __init__ [Signature][inspect.Signature] of the model.
__pydantic_complete__: Whether model building is completed, or if there are still undefined fields.
__pydantic_core_schema__: The core schema of the model.
__pydantic_custom_init__: Whether the model has a custom __init__ function.
__pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.
__pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.
__pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models.
__pydantic_post_init__: The name of the post-init method for the model, if defined.
__pydantic_root_model__: Whether the model is a [RootModel][pydantic.root_model.RootModel].
__pydantic_serializer__: The pydantic-core SchemaSerializer used to dump instances of the model.
__pydantic_validator__: The pydantic-core SchemaValidator used to validate instances of the model.
__pydantic_fields__: A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.
__pydantic_computed_fields__: A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.
__pydantic_extra__: A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to 'allow'.
__pydantic_fields_set__: The names of fields explicitly set during instantiation.
__pydantic_private__: Values of private attributes set on the model instance.

id: uuid.UUID

name: str

data_config: DataConfigStatistics | DataConfigDistributionCompare

cron_expression: str

threshold_settings: Union[StaticThresholdSettings, MovingAverageThresholdSettings]

alert_on_status: AlertOnStatusDirection

alert_on_policy_level: bool

dataset_id: str

dataset_b_id: Optional[str]

destination_ids: list[uuid.UUID]

last_evaluation: datetime.datetime | None

next_evaluation: datetime.datetime

status: PolicyStatus

status_reason: dict | None

created_by: str

created_at: datetime.datetime

updated_at: datetime.datetime

tenant_id: str

is_running: bool

is_triggered: bool

initialize_with_historic_data: bool

def to_dict(self) -> dict:

Returns the dictionary representation of the model using alias

@classmethod

def from_dict(cls, dict_: dict) -> Policy:

model_config = {'populate_by_name': True, 'validate_assignment': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

Inherited Members

pydantic.main.BaseModel: BaseModel; model_extra; model_fields_set; model_construct; model_copy; model_dump; model_dump_json; model_json_schema; model_parametrized_name; model_post_init; model_rebuild; model_validate; model_validate_json; model_validate_strings; dict; json; parse_obj; parse_raw; parse_file; from_orm; construct; copy; schema; schema_json; validate; update_forward_refs; model_fields; model_computed_fields
superwise_api.models.SuperwiseEntity: to_str; to_json; from_json