[datalabeling] debug failing tests

[tmatsuo]

We will disable label_text_test.py::test_label_text and manage_dataset_test.py::test_list_dataset in datalabeling directory.

Failed build

It seems like

• the dataset is considered empty for label_text_test.py::test_label_text.
• the test backend is throwing DeadlineExceeded for manage_dataset_test.py::test_list_dataset.

This bug is to debug them and re-enable them if possible.

[tmatsuo]

History of the test_label_text:
https://github.com/GoogleCloudPlatform/python-docs-samples/commits/master/datalabeling/label_text_test.py

After this commit, we had several successful builds, so the last commit is not the direct culprit.

[tmatsuo]

Well I tried to repro, but manage_dataset_test.py::test_list_dataset is now constantly passing.

[tmatsuo]

For label_text_test.py::test_label_text, it might be a permission issue with the datalabeling agent:
service-1012616486416@gcp-sa-test-datalabeling.iam.gserviceaccount.com

Update:
I don't think it's the permission issue. The data files are all public.

[tmatsuo]

I tracked down the issue to this point.

For that particular test, we create a dataset and import a CSV file to it. The import job succeeds, but for some reason, the import job doesn't import anything (both total_count and import_count in the result are 0).

The same code for importing just works on the production endpoint.

Here is the code for repro. You can put it in datalabeling and run it with the required env vars.

import.py

import os

import backoff
from google.api_core.exceptions import DeadlineExceeded
import pytest

import label_text
import testing_lib

PROJECT_ID = os.getenv('GCLOUD_PROJECT')
INPUT_GCS_URI = 'gs://cloud-samples-data/datalabeling/text/input.csv'
INSTRUCTION_GCS_URI = ('gs://cloud-samples-data/datalabeling'
                       '/instruction/test.pdf')


# create a temporary dataset
dataset = testing_lib.create_dataset(PROJECT_ID)

result = testing_lib.import_data(dataset.name, 'TEXT', INPUT_GCS_URI)

print("Total count: {}".format(result.total_count))
print("Import count: {}".format(result.import_count))

If you run it against the production, it successfully import the data, but on the testing server, no data is imported.