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api: bigqueryIssues related to the googleapis/python-bigquery API.Issues related to the googleapis/python-bigquery API.priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.Error or flaw in code with unintended results or allowing sub-optimal usage patterns.
Description
Listing standard BigQuery models (e.g. LINEAR_REGRESSION or https://cloud.google.com/bigquery-ml/docs/bigqueryml-mf-explicit-tutorial#run_the_create_model_query) works, but AutoML model (https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-create-automl#create_model_syntax) seems to fail?
Environment details
- OS type and version: Ubuntu 20.04
- Python version:
Python 3.8.2 (default, Jul 16 2020, 14:00:26)
- pip version:
pip 20.2
pip3 freeze | grep goo
google-api-core==1.22.3
google-auth==1.22.0
google-cloud-bigquery==2.0.0
google-cloud-core==1.4.2
google-crc32c==1.0.0
google-resumable-media==1.0.0
googleapis-common-protos==1.6.0
Steps to reproduce
- Create a BigQuery AutoML model, e.g. https://cloud.google.com/bigquery-ml/docs/bigqueryml-mf-explicit-tutorial
- Use the API to list the models
Code example
from google.cloud import bigquery
client = bigquery.Client()
for d in client.list_datasets():
for m in client.list_models(d.reference):
print(m.friendly_name)
Stack trace
Traceback (most recent call last):
File " python3.8/site-packages/google/protobuf/json_format.py", line 745, in _ConvertScalarFieldValue
number = int(value)
ValueError: invalid literal for int() with base 10: 'AUTOML_REGRESSOR'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File " python3.8/site-packages/google/protobuf/json_format.py", line 589, in _ConvertFieldValuePair
setattr(message, field.name, _ConvertScalarFieldValue(value, field))
File " python3.8/site-packages/google/protobuf/json_format.py", line 748, in _ConvertScalarFieldValue
raise ParseError('Invalid enum value {0} for enum type {1}.'.format(
google.protobuf.json_format.ParseError: Invalid enum value AUTOML_REGRESSOR for enum type google.cloud.bigquery.v2.Model.ModelType.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
File " python3.8/site-packages/google/api_core/page_iterator.py", line 213, in _items_iter
for item in page:
File " python3.8/site-packages/google/api_core/page_iterator.py", line 133, in next
result = self._item_to_value(self._parent, item)
File " python3.8/site-packages/google/cloud/bigquery/client.py", line 3241, in _item_to_model
return Model.from_api_repr(resource)
File " python3.8/site-packages/google/cloud/bigquery/model.py", line 308, in from_api_repr
this._proto = json_format.ParseDict(
File " python3.8/site-packages/google/protobuf/json_format.py", line 452, in ParseDict
parser.ConvertMessage(js_dict, message)
File " python3.8/site-packages/google/protobuf/json_format.py", line 483, in ConvertMessage
self._ConvertFieldValuePair(value, message)
File " python3.8/site-packages/google/protobuf/json_format.py", line 592, in _ConvertFieldValuePair
raise ParseError('Failed to parse {0} field: {1}.'.format(name, e))
google.protobuf.json_format.ParseError: Failed to parse modelType field: Invalid enum value AUTOML_REGRESSOR for enum type google.cloud.bigquery.v2.Model.ModelType..
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api: bigqueryIssues related to the googleapis/python-bigquery API.Issues related to the googleapis/python-bigquery API.priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.Error or flaw in code with unintended results or allowing sub-optimal usage patterns.