Deploying Cloud Function gives error: MissingTargetException

[bhandari-nitin]

Hi there,

Deploying google cloud function with python3.8 runtime gives error:

MissingTargetException: File /workspace/main.py is expected to contain a function named main
.create_app ( /layers/google.python.pip/pip/lib/python3.8/site-packages/functions_framework/__init__.py:259 )

Stacktrace

functions_framework.exceptions.MissingTargetException: File /workspace/main.py is expected to contain a function named main
at create_app (/layers/google.python.pip/pip/lib/python3.8/site-packages/functions_framework/__init__.py:259)
at _cli (/layers/google.python.pip/pip/lib/python3.8/site-packages/functions_framework/_cli.py:37)
at invoke (/layers/google.python.pip/pip/lib/python3.8/site-packages/click/core.py:763)
at invoke (/layers/google.python.pip/pip/lib/python3.8/site-packages/click/core.py:1404)
at main (/layers/google.python.pip/pip/lib/python3.8/site-packages/click/core.py:1062)
at __call__ (/layers/google.python.pip/pip/lib/python3.8/site-packages/click/core.py:1137)
at <module> (/layers/google.python.pip/pip/bin/functions-framework:8)

There is a main function within main.py that I am trying to deploy.

[di]

Hi, can you share your main.py file (or at least the signature of the function you're trying to deploy) as well as the command you're using to deploy?

[bhandari-nitin]

I assume by signature of the function you mean the main function? I am using console GUI to deploy and not thru command line.

def main(request):
    print("In function: main")
    try:
        req_data = request.get_json(silent=True, force=True)
        result = req_data["queryResult"]

        queryText = result.get("queryText")
        session = req_data["session"]

        intent_id = result["intent"]["name"].split("intents/")[-1]
        intent_name = result["intent"]["displayName"]

        parameters = result["parameters"]
        oc_withinReq = result["outputContexts"]

        print("Received Request:\n\n {}\n\n".format(req_data))
        print(
            "Received Query Text: {} and Data-Type of Query Text: {}".format(
                queryText, type(queryText)
            )
        )

        print(
            "Intent Detected: {} with Intent ID: {}\n\n".format(intent_name, intent_id)
        )

        # If there is a response set in dialogflow
        # So, if you want to form a response from
        # webhook, don't set any response in dialogflow
        if "fulfillmentMessages" in result:
            print("Fulfillment Message found in df request")
            df_res = result["fulfillmentMessages"]
            out = fulfill_intent(
                intent_name,
                intent_id,
                session,
                parameters=parameters,
                oc_withinReq=oc_withinReq,
                df_res=df_res,
            )

        elif "fulfillmentText" in result:
            print(
                "Fulfillment Text Response found in df request, selecting response set in dialogflow.\n\n"
            )
            df_res = result["fulfillmentText"]

            out = fulfill_intent(
                intent_name,
                intent_id,
                session,
                parameters=parameters,
                oc_withinReq=oc_withinReq,
                df_res=df_res,
            )

        else:
            print("Within main function, no response set in dialogflow.\n\n")
            out = fulfill_intent(
                intent_name,
                intent_id,
                session,
                parameters=parameters,
                oc_withinReq=oc_withinReq,
            )


    except:
        print("Within main function, the following exception was caught: \n\n")
        print_exc()
        out = {
            "fulfillmentText": """I'm sorry, it looks like something's gone wrong, try saying something else,
                                      and we'll have someone fix this problem soon.""",
            # "outputContexts": output_contexts
        }

    return out

[di]

I created a new Python 3.8 function by pasting that into the UI at https://console.cloud.google.com/functions/add, changing the entrypoint from hello_world to main, and was able to successfully deploy it.

Any other details you can give us? Have you set any environment variables or otherwise changed the function configuration?

Can you go to the "Source" tab for the function and select "Download Zip" and upload it here?

[bhandari-nitin]

@di I see, strange. I tried the same with only the code I shared and got same error.

Here are the details:

1. Region: US-Central1
2. Trigger: HTTP
3. Runtime: Python3.8
4. Memory Allocated: 256 MB
5. Executed Function: main
6. Authentication:

Zip file:
function-source.zip

[di]

Just to be clear, this error is happening on deployment, when you create the function, not when you call your function, correct?

Unfortunately I haven't been able to reproduce this, but any more details you can provide would be helpful.

[bhandari-nitin]

correct, what more details I can provide that'd be helpful?

[di]

Instead of using the "inline editor" for source code, can you try a new function with the "ZIP upload" option and upload the zip file you included in #157 (comment)?

Can you confirm that the "Entry point" field says main with no extra spaces?

It should look like this (you'll need to specify or create a GCS bucket for the 'stage bucket'):

[bhandari-nitin]

So, deploying through zip upload worked but another weird thing is under Authentication, it should say allow unautheicated bc that's what I selected but it is blank.

Also, tried using inline editor making sure the entry point is main without any whitespace character/s and it still failed.

[grant]

Reading through this thread... it seems like we've figured out a way to deploy successfully. Not sure if there is an issue with the Functions Framework.

I'm going to close this, but if the issue is still persisting, please open a new issue and link this issue in the description.