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list_code_issues

list_code_issues(
    environment_id: EnvironmentId,
    *,
    config_overrides: Optional[ContinuumClientConfig] = None,
    max_results: Optional[MaxResults] = None,
    next_token: Optional[NextToken] = None,
) -> ListCodeIssuesOutput

Lists the issues in an environment in descending issueId order.

Parameters:

  • environment_id (EnvironmentId) –

    The environment whose issues to list.

  • max_results (Optional[MaxResults], default: None ) –

    The maximum number of results to return in a single call.

  • next_token (Optional[NextToken], default: None ) –

    A pagination token returned by a previous call. Set to null for the first request; use the returned token for subsequent calls.

Raises:

  • AccessDeniedException –

    The request is not authorized. Verify that your credentials and request signature are valid and that you have permission to perform this action.

  • InternalServerException –

    The request couldn't be processed because of an internal server issue. Try again later. If the problem persists, contact AWS Support.

  • ResourceNotFoundException –

    The specified resource was not found. Verify that the resource identifier is correct and that the resource exists.

  • ThrottlingException –

    The request was denied due to request throttling.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Source code in docs_src/capo_continuum/_services/continuum.py
def list_code_issues(
    self,
    environment_id: "capo_continuum.types.environment_id.EnvironmentId",
    *,
    config_overrides: Optional[ContinuumClientConfig] = None,
    max_results: Optional["capo_continuum.types.max_results.MaxResults"] = None,
    next_token: Optional["capo_continuum.types.next_token.NextToken"] = None,
) -> "capo_continuum.types.list_code_issues_output.ListCodeIssuesOutput":
    """Lists the issues in an environment in descending issueId order.

    Args:
        environment_id: The environment whose issues to list.
        max_results: The maximum number of results to return in a single call.
        next_token: A pagination token returned by a previous call. Set to null for the first request; use the returned token for subsequent calls.

    Raises:
        capo_continuum.errors.access_denied_exception.AccessDeniedException: The request is not authorized. Verify that your credentials and request signature are valid and that you have permission to perform this action.
        capo_continuum.errors.internal_server_exception.InternalServerException: The request couldn't be processed because of an internal server issue. Try again later. If the problem persists, contact AWS Support.
        capo_continuum.errors.resource_not_found_exception.ResourceNotFoundException: The specified resource was not found. Verify that the resource identifier is correct and that the resource exists.
        capo_continuum.errors.throttling_exception.ThrottlingException: The request was denied due to request throttling.
        capo_continuum.errors.validation_exception.ValidationException
        capo_continuum.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_continuum.types.list_code_issues_input.ListCodeIssuesInput]",
    ) -> OperationResponse[
        "capo_continuum.types.list_code_issues_output.ListCodeIssuesOutput"
    ]:
        import capo_continuum._operations.continuum_control_plane.list_code_issues

        output, http_response = (
            capo_continuum._operations.continuum_control_plane.list_code_issues.list_code_issues(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListCodeIssues")
    )
    input_: capo_continuum.types.list_code_issues_input.ListCodeIssuesInput = {
        "environment_id": environment_id
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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