SaasFlowRun

pydantic model openapi_client.models.saas_flow_run.SaasFlowRun

One SaaS AppFlow execution from FlowRuns. Timestamps are formatted to Amorphic DATETIME_ISO_FORMAT strings.

Fields:

• data_pull_end_time (str | None)

• data_pull_start_time (str | None)

• execution_id (str | None)

• execution_status (str | None)

• last_updated_at (str | None)

• started_at (str | None)

field execution_id: Optional[StrictStr] = None (alias 'executionId')

Unique ID of the AppFlow execution.

field execution_status: Optional[StrictStr] = None (alias 'executionStatus')

Status of the AppFlow execution.

field started_at: Optional[StrictStr] = None (alias 'startedAt')

When the AppFlow execution started.

field last_updated_at: Optional[StrictStr] = None (alias 'lastUpdatedAt')

When the AppFlow execution was last updated.

field data_pull_start_time: Optional[StrictStr] = None (alias 'dataPullStartTime')

Data pull start for scheduled SaaS flows when returned by AppFlow.

field data_pull_end_time: Optional[StrictStr] = None (alias 'dataPullEndTime')

Data pull end for scheduled SaaS flows when returned by AppFlow.

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of SaasFlowRun from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

• None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of SaasFlowRun from a dict

Return type:

Optional[Self]