ECS Deployment State Change
This is emitted when an ECS Service Deployment occurs. See AWS documentation for more information on when this might be emitted.
Primary Model
- pydantic model botocraft.eventbridge.ecs.ECSServiceDeploymentStateChangeEvent[source]
Bases:
EventBridgeEvent,ECSServiceDeploymentStateChangeEventEventBridge event for ECS service deployment state change.
Show JSON schema
{ "title": "ECSServiceDeploymentStateChangeEvent", "description": "EventBridge event for ECS service deployment state change.", "type": "object", "properties": { "detail": { "$ref": "#/$defs/ECSServiceDeploymentStateChange" }, "detail-type": { "title": "Detail-Type", "type": "string" }, "resources": { "items": { "type": "string" }, "title": "Resources", "type": "array" }, "id": { "title": "Id", "type": "string" }, "source": { "title": "Source", "type": "string" }, "region": { "title": "Region", "type": "string" }, "time": { "format": "date-time", "title": "Time", "type": "string" }, "version": { "title": "Version", "type": "string" }, "account": { "title": "Account", "type": "string" }, "session": { "anyOf": [ {}, { "type": "null" } ], "default": null, "title": "Session" } }, "$defs": { "ECSServiceDeploymentStateChange": { "description": "The main body of the ECS Service Deployment State Change event.", "properties": { "eventName": { "title": "Eventname", "type": "string" }, "eventType": { "title": "Eventtype", "type": "string" }, "deploymentId": { "title": "Deploymentid", "type": "string" }, "updatedAt": { "format": "date-time", "title": "Updatedat", "type": "string" }, "reason": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Reason" } }, "required": [ "eventName", "eventType", "deploymentId", "updatedAt" ], "title": "ECSServiceDeploymentStateChange", "type": "object" } }, "required": [ "detail", "detail-type", "resources", "id", "source", "region", "time", "version", "account" ] }
- Fields:
- field detail: ECSServiceDeploymentStateChange [Required]
Where the meat of the event is
- field resources: list[str] [Required]
The resources the event applies to. This will be a list of ARNs
- field time: datetime [Required]
The time the event was generated, in UTC
- classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) Self
Creates a new instance of the Model class with validated data.
Creates a new model setting __dict__ and __pydantic_fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed.
- !!! note
model_construct() generally respects the model_config.extra setting on the provided model. That is, if model_config.extra == ‘allow’, then all extra passed values are added to the model instance’s __dict__ and __pydantic_extra__ fields. If model_config.extra == ‘ignore’ (the default), then all extra passed values are ignored. Because no validation is performed with a call to model_construct(), having model_config.extra == ‘forbid’ does not result in an error if extra values are passed, but they will be ignored.
- Parameters:
_fields_set – A set of field names that were originally explicitly set during instantiation. If provided, this is directly used for the [model_fields_set][pydantic.BaseModel.model_fields_set] attribute. Otherwise, the field names from the values argument will be used.
values – Trusted or pre-validated data dictionary.
- Returns:
A new instance of the Model class with validated data.
- model_copy(*, update: Mapping[str, Any] | None = None, deep: bool = False) Self
- !!! abstract “Usage Documentation”
[model_copy](../concepts/serialization.md#model_copy)
Returns a copy of the model.
- !!! note
The underlying instance’s [__dict__][object.__dict__] attribute is copied. This might have unexpected side effects if you store anything in it, on top of the model fields (e.g. the value of [cached properties][functools.cached_property]).
- Parameters:
update – Values to change/add in the new model. Note: the data is not validated before creating the new model. You should trust this data.
deep – Set to True to make a deep copy of the model.
- Returns:
New model instance.
- model_dump_json(*, indent: int | None = None, include: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, exclude: set[int] | set[str] | Mapping[int, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | Mapping[str, set[int] | set[str] | Mapping[int, IncEx | bool] | Mapping[str, IncEx | bool] | bool] | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, round_trip: bool = False, warnings: bool | Literal['none', 'warn', 'error'] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False) str
- !!! abstract “Usage Documentation”
[model_dump_json](../concepts/serialization.md#modelmodel_dump_json)
Generates a JSON representation of the model using Pydantic’s to_json method.
- Parameters:
indent – Indentation to use in the JSON output. If None is passed, the output will be compact.
include – Field(s) to include in the JSON output.
exclude – Field(s) to exclude from the JSON output.
context – Additional context to pass to the serializer.
by_alias – Whether to serialize using field aliases.
exclude_unset – Whether to exclude fields that have not been explicitly set.
exclude_defaults – Whether to exclude fields that are set to their default value.
exclude_none – Whether to exclude fields that have a value of None.
round_trip – If True, dumped values should be valid as input for non-idempotent types such as Json[T].
warnings – How to handle serialization errors. False/”none” ignores them, True/”warn” logs errors, “error” raises a [PydanticSerializationError][pydantic_core.PydanticSerializationError].
fallback – A function to call when an unknown value is encountered. If not provided, a [PydanticSerializationError][pydantic_core.PydanticSerializationError] error is raised.
serialize_as_any – Whether to serialize fields with duck-typing serialization behavior.
- Returns:
A JSON string representation of the model.
- classmethod model_validate(obj: Any, *, strict: bool | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) Self
Validate a pydantic model instance.
- Parameters:
obj – The object to validate.
strict – Whether to enforce types strictly.
from_attributes – Whether to extract data from object attributes.
context – Additional context to pass to the validator.
by_alias – Whether to use the field’s alias when validating against the provided input data.
by_name – Whether to use the field’s name when validating against the provided input data.
- Raises:
ValidationError – If the object could not be validated.
- Returns:
The validated model instance.
- classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) Self
- !!! abstract “Usage Documentation”
[JSON Parsing](../concepts/json.md#json-parsing)
Validate the given JSON data against the Pydantic model.
- Parameters:
json_data – The JSON data to validate.
strict – Whether to enforce types strictly.
context – Extra variables to pass to the validator.
by_alias – Whether to use the field’s alias when validating against the provided input data.
by_name – Whether to use the field’s name when validating against the provided input data.
- Returns:
The validated Pydantic model.
- Raises:
ValidationError – If json_data is not a JSON string or the object could not be validated.
- classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) Self
Validate the given object with string data against the Pydantic model.
- Parameters:
obj – The object containing string data to validate.
strict – Whether to enforce types strictly.
context – Extra variables to pass to the validator.
by_alias – Whether to use the field’s alias when validating against the provided input data.
by_name – Whether to use the field’s name when validating against the provided input data.
- Returns:
The validated Pydantic model.
- classmethod parse_file(path: str | Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: DeprecatedParseProtocol | None = None, allow_pickle: bool = False) Self
Raw Event Models from AWS Schema
- pydantic model botocraft.eventbridge.raw.ecs.service_deployment_state_change.ECSServiceDeploymentStateChange[source]
Bases:
BaseModelThe main body of the ECS Service Deployment State Change event.
Show JSON schema
{ "title": "ECSServiceDeploymentStateChange", "description": "The main body of the ECS Service Deployment State Change event.", "type": "object", "properties": { "eventName": { "title": "Eventname", "type": "string" }, "eventType": { "title": "Eventtype", "type": "string" }, "deploymentId": { "title": "Deploymentid", "type": "string" }, "updatedAt": { "format": "date-time", "title": "Updatedat", "type": "string" }, "reason": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Reason" } }, "required": [ "eventName", "eventType", "deploymentId", "updatedAt" ] }
- Fields:
- field deploymentId: str [Required]
The service deployment ID.
Note
This is not the same as the py:class:~botocraft.services.ecs.ServiceDeployment ARN. Not sure what this is, really.
- field updatedAt: datetime [Required]
The time the Service Deployment was created
- pydantic model botocraft.eventbridge.raw.ecs.service_deployment_state_change.ECSServiceDeploymentStateChangeEvent[source]
Bases:
BaseModelAn ECS Service Deployment State Change Event class.
Important
There’s no schema in the EventBridge schema registry for this event, so this is a best effort attempt to create a schema for it manually.
Show JSON schema
{ "title": "ECSServiceDeploymentStateChangeEvent", "description": "An ECS Service Deployment State Change Event class.\n\n.. important::\n\n There's no schema in the EventBridge schema registry for this event,\n so this is a best effort attempt to create a schema for it manually.", "type": "object", "properties": { "detail": { "$ref": "#/$defs/ECSServiceDeploymentStateChange" }, "detail-type": { "title": "Detail-Type", "type": "string" }, "resources": { "items": { "type": "string" }, "title": "Resources", "type": "array" }, "id": { "title": "Id", "type": "string" }, "source": { "title": "Source", "type": "string" }, "region": { "title": "Region", "type": "string" }, "time": { "format": "date-time", "title": "Time", "type": "string" }, "version": { "title": "Version", "type": "string" }, "account": { "title": "Account", "type": "string" } }, "$defs": { "ECSServiceDeploymentStateChange": { "description": "The main body of the ECS Service Deployment State Change event.", "properties": { "eventName": { "title": "Eventname", "type": "string" }, "eventType": { "title": "Eventtype", "type": "string" }, "deploymentId": { "title": "Deploymentid", "type": "string" }, "updatedAt": { "format": "date-time", "title": "Updatedat", "type": "string" }, "reason": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Reason" } }, "required": [ "eventName", "eventType", "deploymentId", "updatedAt" ], "title": "ECSServiceDeploymentStateChange", "type": "object" } }, "required": [ "detail", "detail-type", "resources", "id", "source", "region", "time", "version", "account" ] }
- Fields:
- field detail: ECSServiceDeploymentStateChange [Required]
Where the meat of the event is
- field resources: list[str] [Required]
The resources the event applies to. This will be a list of ARNs
- field time: datetime [Required]
The time the event was generated, in UTC