update_asset_file ¶

def update_asset_file(
    self,
    agent_space_id: "capo_devops_agent.types.agent_space_identifier.AgentSpaceIdentifier",
    asset_id: "capo_devops_agent.types.resource_id.ResourceId",
    path: "capo_devops_agent.types.asset_file_path.AssetFilePath",
    *,
    config_overrides: Optional[DevOpsAgentClientConfig] = None,
    content: Optional[
        "capo_devops_agent.types.asset_file_body.AssetFileBody"
    ] = None,
    metadata: Optional[object] = None,
    client_token: Optional[str] = None,
) -> "capo_devops_agent.types.update_asset_file_response.UpdateAssetFileResponse":
    """<p>Updates a file in an asset</p>

    Args:
        agent_space_id: <p>The unique identifier for the agent space containing the asset</p>
        asset_id: <p>The unique identifier of the asset containing the file</p>
        path: <p>The path of the file within the asset to update</p>
        content: <p>Updated file content. If omitted, the existing content is unchanged.</p>
        metadata: <p>Metadata fields to update. Only the fields present in this document are updated. Omitted fields retain their current values.</p>
        client_token: <p>A unique, case-sensitive identifier used for idempotent asset file update</p>

    Raises:
        capo_devops_agent.errors.access_denied_exception.AccessDeniedException: <p>Access to the requested resource is denied due to insufficient permissions.</p>
        capo_devops_agent.errors.conflict_exception.ConflictException: <p>The request conflicts with the current state of the resource.</p>
        capo_devops_agent.errors.content_size_exceeded_exception.ContentSizeExceededException: <p>This exception is thrown when the content size exceeds the allowed limit.</p>
        capo_devops_agent.errors.internal_server_exception.InternalServerException: <p>This exception is thrown when an unexpected error occurs in the processing of a request.</p>
        capo_devops_agent.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more parameters provided in the request are invalid.</p>
        capo_devops_agent.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource could not be found.</p>
        capo_devops_agent.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The request would exceed the service quota limit.</p>
        capo_devops_agent.errors.throttling_exception.ThrottlingException: <p>The request was throttled due to too many requests. Please slow down and try again.</p>
        capo_devops_agent.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_devops_agent.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_devops_agent.types.update_asset_file_request.UpdateAssetFileRequest]",
    ) -> OperationResponse[
        "capo_devops_agent.types.update_asset_file_response.UpdateAssetFileResponse"
    ]:
        import capo_devops_agent._operations.dev_ops_agent.update_asset_file

        output, http_response = (
            capo_devops_agent._operations.dev_ops_agent.update_asset_file.update_asset_file(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateAssetFile")
    )
    input_: capo_devops_agent.types.update_asset_file_request.UpdateAssetFileRequest = {
        "agent_space_id": agent_space_id,
        "asset_id": asset_id,
        "path": path,
    }
    if content is not None:
        input_["content"] = content
    if metadata is not None:
        input_["metadata"] = metadata
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output