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Cloud Run functions: fix the Python entry point

Your function code imports, but the runtime reports that its configured target cannot be found. Compare the exact entry-point name with the function exported by the deployed source.

By CoreTrailKit3 min read

01

Distinguish a missing target from a failed request

Check the initialization error rather than debugging business logic that never ran. A target-name mismatch prevents the framework from finding the intended function. It differs from an exception inside a successfully loaded handler.

Our source defined handle_order. Configuring handle_orders produced MissingTargetException before the test request. Correcting only that target allowed the same source to load, which isolated the naming mismatch.

02

Check the source layout and callable name

For the documented Python Cloud Run functions source layout, keep main.py and requirements.txt at the function source root. Ensure the framework dependency is present and that the intended callable is defined or imported where the runtime expects it.

This small HTTP function defines a single entry point. Its return value is a test acknowledgement, not a completed order workflow. Keep a transport handler’s success meaning aligned with your application when adapting it.

python · EXAMPLE
# main.py
import functions_framework

@functions_framework.http
def handle_order(request):
    return {"status": "received"}, 200

03

Load the exact source and target locally

Use the framework’s local loader with the intended target and source path. Running an unrelated development server can hide an entry-point mismatch if it imports the function through a different route.

The command below starts a local server and is optional when using the test-client check in the next section. It does not deploy a function or alter a Google Cloud resource.

sh · EXAMPLE
functions-framework --target=handle_order --source=main.py --port=8080

04

Exercise the framework-loaded HTTP handler

This test loads the callable through Functions Framework and sends an HTTP-style request through its Flask test client. It checks more than directly calling the Python function because the configured target must resolve first.

The fixture with the corrected name returned the expected JSON object and status. A route returning 200 without the expected body would not be equivalent evidence that the intended handler ran.

python · EXAMPLE
import functions_framework

app = functions_framework.create_app(target="handle_order", source="main.py")
response = app.test_client().post("/", json={"order_id": "order-1"})
assert response.status_code == 200
assert response.json == {"status": "received"}

05

Compare the deployed revision independently

If the local test passes but the cloud revision still fails, compare its actual source root, selected entry point, dependency installation, and initialization logs. An old revision can continue referencing a previous callable name after local code changes.

Verify the deployed configuration through your normal authorized release process rather than repeatedly renaming functions until one deployment starts. The local test does not establish build success, public reachability, caller identity, or business processing in the deployed service.

Know the limits

Reproduced with Functions Framework for Python 3.10.2. A target typo raised MissingTargetException; the correct target served a JSON response with HTTP 200 through the framework’s Flask test client. No Google Cloud build, deployment, IAM, or external request was tested.

Sources & further reading

A technical publication by CoreTrailKit.

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