chore: import upstream snapshot with attribution
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This commit is contained in:
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# Copyright 2026 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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from __future__ import annotations
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import warnings
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from google.adk.features._feature_registry import _WARNED_FEATURES
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from google.adk.integrations.bigquery.config import BigQueryToolConfig
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import pytest
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@pytest.fixture(autouse=True)
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def reset_warned_features():
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"""Reset warned features before each test."""
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_WARNED_FEATURES.clear()
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def test_bigquery_tool_config_invalid_property():
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"""Test BigQueryToolConfig raises exception when setting invalid property."""
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with pytest.raises(
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ValueError,
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):
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BigQueryToolConfig(non_existent_field="some value")
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def test_bigquery_tool_config_invalid_application_name():
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"""Test BigQueryToolConfig raises exception with invalid application name."""
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with pytest.raises(
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ValueError,
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match="Application name should not contain spaces.",
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):
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BigQueryToolConfig(application_name="my agent")
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def test_bigquery_tool_config_max_query_result_rows_default():
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"""Test BigQueryToolConfig max_query_result_rows default value."""
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config = BigQueryToolConfig()
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assert config.max_query_result_rows == 50
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def test_bigquery_tool_config_max_query_result_rows_custom():
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"""Test BigQueryToolConfig max_query_result_rows custom value."""
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config = BigQueryToolConfig(max_query_result_rows=100)
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assert config.max_query_result_rows == 100
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def test_bigquery_tool_config_valid_maximum_bytes_billed():
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"""Test BigQueryToolConfig raises exception with valid max bytes billed."""
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config = BigQueryToolConfig(maximum_bytes_billed=10_485_760)
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assert config.maximum_bytes_billed == 10_485_760
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def test_bigquery_tool_config_invalid_maximum_bytes_billed():
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"""Test BigQueryToolConfig raises exception with invalid max bytes billed."""
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with pytest.raises(
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ValueError,
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match=(
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"In BigQuery on-demand pricing, charges are rounded up to the nearest"
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" MB, with a minimum 10 MB data processed per table referenced by the"
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" query, and with a minimum 10 MB data processed per query. So"
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" max_bytes_billed must be set >=10485760."
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),
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):
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BigQueryToolConfig(maximum_bytes_billed=10_485_759)
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@pytest.mark.parametrize(
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"labels",
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[
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pytest.param(
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{"environment": "test", "team": "data"},
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id="valid-labels",
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),
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pytest.param(
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{},
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id="empty-labels",
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),
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pytest.param(
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None,
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id="none-labels",
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),
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],
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)
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def test_bigquery_tool_config_valid_labels(labels):
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"""Test BigQueryToolConfig accepts valid labels."""
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config = BigQueryToolConfig(job_labels=labels)
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assert config.job_labels == labels
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@pytest.mark.parametrize(
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("labels", "message"),
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[
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pytest.param(
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"invalid",
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"Input should be a valid dictionary",
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id="invalid-type",
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),
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pytest.param(
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{123: "value"},
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"Input should be a valid string",
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id="non-str-key",
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),
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pytest.param(
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{"key": 123},
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"Input should be a valid string",
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id="non-str-value",
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),
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pytest.param(
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{"": "value"},
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"Label keys cannot be empty",
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id="empty-label-key",
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),
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pytest.param(
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{"adk-bigquery-test": "value"},
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'Label key cannot start with "adk-bigquery-"',
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id="internal-label-key",
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),
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pytest.param(
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{f"key_{i}": "value" for i in range(21)},
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"Only up to 20 job labels can be provided",
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id="too-many-labels",
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),
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],
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)
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def test_bigquery_tool_config_invalid_labels(labels, message):
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"""Test BigQueryToolConfig raises an exception with invalid labels."""
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with pytest.raises(
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ValueError,
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match=message,
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):
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BigQueryToolConfig(job_labels=labels)
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