[Bug] Can't debugging workflow using vscode

[niros1]

when run a workflow with vscode debugger attach I get the flowwing error as soon a workflow start.

    int_cmd.do_it(self)
  File "/usr/local/lib/python3.7/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_comm.py", line 542, in do_it
    self.method(dbg, *self.args, **self.kwargs)
  File "/usr/local/lib/python3.7/site-packages/debugpy/_vendored/pydevd/_pydevd_bundle/pydevd_constants.py", line 511, in new_func
    with warnings.catch_warnings():
  File "/usr/local/lib/python3.7/warnings.py", line 458, in __init__
    self._module = sys.modules['warnings'] if module is None else module
  File "/usr/local/lib/python3.7/site-packages/temporalio/worker/workflow_sandbox/_importer.py", line 393, in __getitem__
    return self.current[key]
KeyError: 'warnings'

Environment/Versions

• OS and processor: [Linux]
• Temporal Version: Python sdk 0.1b4
• Are you using Docker or Kubernetes or building Temporal from source? Nor

[cretz]

I will investigate this as part of https://github.com/temporalio/sdk-python/issues/213. In the meantime you can disable the sandbox during debug (you may also want to set debug=True for the worker so you don't hit deadlock timeouts).

[niros1]

10X a lot - I will try it and update

[niros1]

workflow_runner=workflow_instance.UnsandboxedWorkflowRunner() Workaround it.

[MauSant]

workflow_runner=workflow_instance.UnsandboxedWorkflowRunner() Workaround it.

Thank you!

It worked for me with the following code:

from temporalio.client import Client  
from temporalio.worker import Worker, UnsandboxedWorkflowRunner  

Worker(
        client,
        task_queue=some_task_queue,
        activities=[],
        workflows=[SomeWorkflow],
        debug_mode=True,
        workflow_runner=UnsandboxedWorkflowRunner()
    ):

[challapradyumna]

Created a new worker bypassing the _pydevd_bundle module. Works as of now.

def new_sandbox_runner() -> SandboxedWorkflowRunner:
    # TODO(cretz): Use with_child_unrestricted when https://github.com/temporalio/sdk-python/issues/254
    # is fixed and released
    invalid_module_member_children = dict(
        SandboxRestrictions.invalid_module_members_default.children
    )
    del invalid_module_member_children["datetime"]
    return SandboxedWorkflowRunner(
        restrictions=dataclasses.replace(
            SandboxRestrictions.default.with_passthrough_modules("_pydevd_bundle"),
            invalid_module_members=dataclasses.replace(
                SandboxRestrictions.invalid_module_members_default,
                children=invalid_module_member_children,
            ),
        )
    )

used the above as a workflow runner as below

   worker = Worker(
        client,
        workflow_runner=new_sandbox_runner(),
        task_queue="queue",
        workflows=[Workflow],
        activities=[activity],
        max_concurrent_workflow_tasks = 1,
        max_concurrent_activities= 1
    )