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Takashi Matsuo
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testing(data-science-onramp): add debug output (GoogleCloudPlatform#5343)
fixes GoogleCloudPlatform#5312 It won't fix the issue, but will allow us to debug better.
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data-science-onramp/data-cleaning/clean.py

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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import datetime
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import re
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import sys

data-science-onramp/data-cleaning/clean_test.py

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# Copyright 2020 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import re
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import uuid
@@ -72,6 +87,11 @@ def setup_and_teardown_table():
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job_config = bigquery.LoadJobConfig(
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autodetect=True, write_disposition="WRITE_TRUNCATE"
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)
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# Logging for debugging the flake:
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# https://github.com/GoogleCloudPlatform/python-docs-samples/issues/5312
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print(f"df: {df}")
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print(f"job_config: {job_config}")
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operation = bq_client.load_table_from_dataframe(df, BQ_TABLE, job_config=job_config)
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# Wait for job to complete

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