pa_api.xmlapi.types.logs.job
1from datetime import time 2 3from pydantic import Field 4 5from pa_api.xmlapi.types.utils import Datetime, XMLBaseModel 6 7 8class LogJob(XMLBaseModel): 9 tenq: time 10 tdeq: time 11 tlast: time 12 id: str 13 status: str 14 cached_logs: int = Field(alias="cached-logs") 15 16 17class Log(XMLBaseModel): 18 logid: int = Field(alias="@logid") 19 start: Datetime 20 time_received: Datetime 21 time_generated: Datetime 22 device_name: str 23 type: str 24 subtype: str 25 action: str 26 action_source: str 27 serial: str 28 vsys: str 29 srcuser: str 30 # Hosts 31 src: str 32 dst: str 33 sport: str 34 dport: str 35 natsport: str 36 natdport: str 37 rule: str 38 rule_uuid: str 39 # Zones 40 from_: str = Field(alias="from") 41 to_: str = Field(alias="to") 42 43 category_of_app: str 44 category: str
9class LogJob(XMLBaseModel): 10 tenq: time 11 tdeq: time 12 tlast: time 13 id: str 14 status: str 15 cached_logs: int = Field(alias="cached-logs")
!!! abstract "Usage Documentation" 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.
model_config: ClassVar[pydantic.config.ConfigDict] =
{}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
Inherited Members
18class Log(XMLBaseModel): 19 logid: int = Field(alias="@logid") 20 start: Datetime 21 time_received: Datetime 22 time_generated: Datetime 23 device_name: str 24 type: str 25 subtype: str 26 action: str 27 action_source: str 28 serial: str 29 vsys: str 30 srcuser: str 31 # Hosts 32 src: str 33 dst: str 34 sport: str 35 dport: str 36 natsport: str 37 natdport: str 38 rule: str 39 rule_uuid: str 40 # Zones 41 from_: str = Field(alias="from") 42 to_: str = Field(alias="to") 43 44 category_of_app: str 45 category: str
!!! abstract "Usage Documentation" 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.
start: typing.Annotated[datetime.datetime, PlainValidator(func=<function parse_datetime at 0x7f4bd7a6e710>, json_schema_input_type=typing.Any)]
time_received: typing.Annotated[datetime.datetime, PlainValidator(func=<function parse_datetime at 0x7f4bd7a6e710>, json_schema_input_type=typing.Any)]
time_generated: typing.Annotated[datetime.datetime, PlainValidator(func=<function parse_datetime at 0x7f4bd7a6e710>, json_schema_input_type=typing.Any)]
model_config: ClassVar[pydantic.config.ConfigDict] =
{}
Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].