After you execute a workflow , you can access workflow execution results in the Google Cloud console or by using the Google Cloud CLI.
Console
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In the Google Cloud console, go to the Workflowspage.
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To access a workflow's execution results, click the workflow's name to go to its Workflow detailspage.
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For details about a particular execution, on the Executionstab, click the execution ID in the list to go to its Execution detailspage.
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On the Summarytab, each execution has the following information:
- Execution ID: the unique identifier of the workflow execution.
- Execution state: indicates the workflow's end state, including the current or final workflow step.
- Execution created: when the execution was initiated.
- Execution start: when the execution began running and executing steps.
- Execution end: when the execution ended.
- Execution duration: total time elapsed. This can be an indication of network errors or connectivity problems.
- Workflow name: the workflow name.
- Workflow revision: the current revision at the time of execution.
- Call log level: the level of call logging applied during the execution. For more information, see Call logging .
- Input: the runtime arguments passed to the workflow, if any.
- Output: the workflow's output. If the execution failed, includes the exception that led to the execution's failure. In this document, see Execution error maps .
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To view the workflow execution history as a list of step entries, click the Stepstab. For more information, see View history of execution steps .
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To view the logs for a workflow execution, click the Logstab.
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To filter the execution logs, use the Filterfield at the top of the table. For example, to display only failed execution attempts, enter
failedin the filter's text field.
gcloud
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To see a full list of a workflow's executions, enter the following command:
gcloud workflows executions list WORKFLOW_NAMEReplace
WORKFLOW_NAMEwith your workflow's name. Copy the execution ID of the execution you're interested in. -
To view a workflow's execution logs, enter the following command:
gcloud workflows executions describe \ --workflow = WORKFLOW_NAME \ EXECUTION_IDReplace the following:
-
WORKFLOW_NAME: the workflow's name -
EXECUTION_ID: the execution's unique ID
This command returns output similar to the following:
The output contains the following information:argument: 'null' endTime: '2022-07-19T12:40:07.070039707Z' error: context: | - The argument of 'in' must be a dict or an array ; got: null in step "checkSearchTermInInput" , routine "main" , line: 12 payload: "{" message ":" The argument of 'in' must be a dict or an array ; got: null "
," tags ":[" TypeError "]}" stackTrace: elements: - position: column: '26' length: '24' line: '12' routine: main step: checkSearchTermInInput name: projects/1051295516635/locations/us-central1/workflows/myFirstWorkflow/executions/17ffc89c-0a27-4d2f-8356-e681d949a3d3 startTime: '2022-07-19T12:40:07.024823663Z' state: FAILED status: currentSteps: - routine: main step: checkSearchTermInInput workflowRevisionId: 000001 -ac2-
argument: the runtime arguments passed to the workflow, if any -
endTime: when the execution ended -
error: the error message thrown as a part of the exception that resulted in the execution's failure -
name: the full name of the execution, including the name of the project, the location of the workflow, the name of the workflow, and the execution ID -
startTime: when the execution began -
state: indicates the workflow's end state -
status: the current or final workflow step of the execution -
workflowRevisionID: the current revision at the time of the execution
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Execution error maps
When a workflow throws an error during execution that isn't caught in a try/except
block
, the
execution fails, and an error map (a JSON dictionary) describing the error is
returned.
Errors thrown during workflow execution contain tags to help you identify what
caused the error. For example, the error returned from a connector can have two
keys ( tags
and message
) similar to the following:
{'tags': ['SystemError'], 'message': 'an error has occurred'}
There can be more than one tag. To check for a specific tag, you can use an expression . For example:
${'SystemError' in e.tags}
Access error data returned as a string
Some connectors and HTTP APIs will serialize errors as strings before returning
the errors. You can use standard library functions to restore a payload to the
original error. For example, to convert an error string to a map, you can use
the json.decode
and text.encode
functions:
json.decode ( text.encode ( ERROR_FROM_API ))
Error tags
The following table describes the meaning of different error tags.
-
tags—list withHttpErrorstring -
message—human-readable error message -
code—HTTP response status code -
headers—response headers -
body—response body
IndexError
.You can also raise custom errors
using the raise
syntax.

