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chore: import upstream snapshot with attribution
2026-07-13 13:25:13 +08:00

449 lines
14 KiB
Python

# Copyright 2026 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import annotations
import sys
from typing import Any
import unittest
from unittest import mock
from absl.testing import parameterized
# Mock google.genai and pydantic if not available, before importing google.adk modules
try:
import google.genai
except ImportError:
m = mock.MagicMock()
m.__path__ = []
sys.modules["google.genai"] = m
sys.modules["google.genai.types"] = mock.MagicMock()
sys.modules["google.genai.errors"] = mock.MagicMock()
try:
import pydantic
except ImportError:
m_pydantic = mock.MagicMock()
class MockBaseModel:
pass
m_pydantic.BaseModel = MockBaseModel
sys.modules["pydantic"] = m_pydantic
try:
import fastapi
import fastapi.openapi.models
except ImportError:
m_fastapi = mock.MagicMock()
m_fastapi.openapi.models = mock.MagicMock()
sys.modules["fastapi"] = m_fastapi
sys.modules["fastapi.openapi"] = mock.MagicMock()
sys.modules["fastapi.openapi.models"] = mock.MagicMock()
from google.adk.integrations.bigquery import search_tool
from google.adk.integrations.bigquery.config import BigQueryToolConfig
from google.api_core import exceptions as api_exceptions
from google.auth.credentials import Credentials
from google.cloud import dataplex_v1
def _mock_creds():
return mock.create_autospec(Credentials, instance=True)
def _mock_settings(app_name: str | None = "test-app"):
return BigQueryToolConfig(application_name=app_name)
def _mock_search_entries_response(results: list[dict[str, Any]]):
mock_response = mock.MagicMock(spec=dataplex_v1.SearchEntriesResponse)
mock_results = []
for r in results:
mock_result = mock.create_autospec(
dataplex_v1.SearchEntriesResult, instance=True
)
# Manually attach dataplex_entry since it's not visible in dir() of the proto class
mock_entry = mock.create_autospec(dataplex_v1.Entry, instance=True)
mock_result.dataplex_entry = mock_entry
mock_entry.name = r.get("name")
mock_entry.entry_type = r.get("entry_type")
mock_entry.update_time = r.get("update_time", "2026-01-14T05:00:00Z")
# Manually attach entry_source since it's not visible in dir() of the proto class
mock_source = mock.create_autospec(dataplex_v1.EntrySource, instance=True)
mock_entry.entry_source = mock_source
mock_source.display_name = r.get("display_name")
mock_source.resource = r.get("linked_resource")
mock_source.description = r.get("description")
mock_source.location = r.get("location")
mock_results.append(mock_result)
mock_response.results = mock_results
return mock_response
class TestSearchCatalog(parameterized.TestCase):
def setUp(self):
super().setUp()
self.mock_dataplex_client = mock.create_autospec(
dataplex_v1.CatalogServiceClient, instance=True
)
# Patch get_dataplex_catalog_client
self.mock_get_dataplex_client = self.enter_context(
mock.patch(
"google.adk.integrations.bigquery.client.get_dataplex_catalog_client",
autospec=True,
)
)
self.mock_get_dataplex_client.return_value = self.mock_dataplex_client
self.mock_dataplex_client.__enter__.return_value = self.mock_dataplex_client
# Patch SearchEntriesRequest
self.mock_search_request = self.enter_context(
mock.patch(
"google.cloud.dataplex_v1.SearchEntriesRequest", autospec=True
)
)
def test_search_catalog_success(self):
"""Test the successful path of search_catalog."""
creds = _mock_creds()
settings = _mock_settings()
prompt = "customer data"
project_id = "test-project"
location = "us"
mock_api_results = [{
"name": "entry1",
"entry_type": "TABLE",
"display_name": "Cust Table",
"linked_resource": (
"//bigquery.googleapis.com/projects/p/datasets/d/tables/t1"
),
"description": "Table 1",
"location": "us",
}]
self.mock_dataplex_client.search_entries.return_value = (
_mock_search_entries_response(mock_api_results)
)
result = search_tool.search_catalog(
prompt=prompt,
project_id=project_id,
credentials=creds,
settings=settings,
location=location,
)
with self.subTest("Test result content"):
self.assertEqual(result["status"], "SUCCESS")
self.assertLen(result["results"], 1)
self.assertEqual(result["results"][0]["name"], "entry1")
self.assertEqual(result["results"][0]["display_name"], "Cust Table")
with self.subTest("Test mock calls"):
self.mock_get_dataplex_client.assert_called_once_with(
credentials=creds, user_agent=["test-app", "search_catalog"]
)
expected_query = (
'(customer data) AND projectid="test-project" AND system=BIGQUERY'
)
self.mock_search_request.assert_called_once_with(
name=f"projects/{project_id}/locations/us",
query=expected_query,
page_size=10,
semantic_search=True,
)
self.mock_dataplex_client.search_entries.assert_called_once_with(
request=self.mock_search_request.return_value
)
def test_search_catalog_no_project_id(self):
"""Test search_catalog with missing project_id."""
result = search_tool.search_catalog(
prompt="test",
project_id="",
credentials=_mock_creds(),
settings=_mock_settings(),
location="us",
)
self.assertEqual(result["status"], "ERROR")
self.assertIn("project_id must be provided", result["error_details"])
self.mock_get_dataplex_client.assert_not_called()
def test_search_catalog_api_error(self):
"""Test search_catalog handling API exceptions."""
self.mock_dataplex_client.search_entries.side_effect = (
api_exceptions.BadRequest("Invalid query")
)
result = search_tool.search_catalog(
prompt="test",
project_id="test-project",
credentials=_mock_creds(),
settings=_mock_settings(),
location="us",
)
self.assertEqual(result["status"], "ERROR")
self.assertIn(
"Dataplex API Error: 400 Invalid query", result["error_details"]
)
def test_search_catalog_other_exception(self):
"""Test search_catalog handling unexpected exceptions."""
self.mock_get_dataplex_client.side_effect = Exception(
"Something went wrong"
)
result = search_tool.search_catalog(
prompt="test",
project_id="test-project",
credentials=_mock_creds(),
settings=_mock_settings(),
location="us",
)
self.assertEqual(result["status"], "ERROR")
self.assertIn("Something went wrong", result["error_details"])
@parameterized.named_parameters(
("project_filter", "p", ["proj1"], None, None, 'projectid="proj1"'),
(
"multi_project_filter",
"p",
["p1", "p2"],
None,
None,
'(projectid="p1" OR projectid="p2")',
),
("type_filter", "p", None, None, ["TABLE"], 'type="TABLE"'),
(
"multi_type_filter",
"p",
None,
None,
["TABLE", "DATASET"],
'(type="TABLE" OR type="DATASET")',
),
(
"project_and_dataset_filters",
"inventory",
["proj1", "proj2"],
["dsetA"],
None,
(
'(projectid="proj1" OR projectid="proj2") AND'
' (linked_resource:"//bigquery.googleapis.com/projects/proj1/datasets/dsetA/*"'
' OR linked_resource:"//bigquery.googleapis.com/projects/proj2/datasets/dsetA/*")'
),
),
)
def test_search_catalog_query_construction(
self, prompt, project_ids, dataset_ids, types, expected_query_part
):
"""Test different query constructions based on filters."""
search_tool.search_catalog(
prompt=prompt,
project_id="test-project",
credentials=_mock_creds(),
settings=_mock_settings(),
location="us",
project_ids_filter=project_ids,
dataset_ids_filter=dataset_ids,
types_filter=types,
)
self.mock_search_request.assert_called_once()
_, kwargs = self.mock_search_request.call_args
query = kwargs["query"]
if prompt:
assert f"({prompt})" in query
assert "system=BIGQUERY" in query
assert expected_query_part in query
def test_search_catalog_no_app_name(self):
"""Test search_catalog when settings.application_name is None."""
creds = _mock_creds()
settings = _mock_settings(app_name=None)
search_tool.search_catalog(
prompt="test",
project_id="test-project",
credentials=creds,
settings=settings,
location="us",
)
self.mock_get_dataplex_client.assert_called_once_with(
credentials=creds, user_agent=[None, "search_catalog"]
)
def test_search_catalog_multi_project_filter_semantic(self):
"""Test semantic search with a multi-project filter."""
creds = _mock_creds()
settings = _mock_settings()
prompt = "What datasets store user profiles?"
project_id = "main-project"
project_filters = ["user-data-proj", "shared-infra-proj"]
location = "global"
self.mock_dataplex_client.search_entries.return_value = (
_mock_search_entries_response([])
)
search_tool.search_catalog(
prompt=prompt,
project_id=project_id,
credentials=creds,
settings=settings,
location=location,
project_ids_filter=project_filters,
types_filter=["DATASET"],
)
expected_query = (
f"({prompt}) AND "
'(projectid="user-data-proj" OR projectid="shared-infra-proj") AND '
'type="DATASET" AND system=BIGQUERY'
)
self.mock_search_request.assert_called_once_with(
name=f"projects/{project_id}/locations/{location}",
query=expected_query,
page_size=10,
semantic_search=True,
)
self.mock_dataplex_client.search_entries.assert_called_once()
def test_search_catalog_natural_language_semantic(self):
"""Test natural language prompts with semantic search enabled and check output."""
creds = _mock_creds()
settings = _mock_settings()
prompt = "Find tables about football matches"
project_id = "sports-analytics"
location = "europe-west1"
# Mock the results that the API would return for this semantic query
mock_api_results = [
{
"name": (
"projects/sports-analytics/locations/europe-west1/entryGroups/@bigquery/entries/fb1"
),
"display_name": "uk_football_premiership",
"entry_type": (
"projects/655216118709/locations/global/entryTypes/bigquery-table"
),
"linked_resource": (
"//bigquery.googleapis.com/projects/sports-analytics/datasets/uk/tables/premiership"
),
"description": "Stats for UK Premier League matches.",
"location": "europe-west1",
},
{
"name": (
"projects/sports-analytics/locations/europe-west1/entryGroups/@bigquery/entries/fb2"
),
"display_name": "serie_a_matches",
"entry_type": (
"projects/655216118709/locations/global/entryTypes/bigquery-table"
),
"linked_resource": (
"//bigquery.googleapis.com/projects/sports-analytics/datasets/italy/tables/serie_a"
),
"description": "Italian Serie A football results.",
"location": "europe-west1",
},
]
self.mock_dataplex_client.search_entries.return_value = (
_mock_search_entries_response(mock_api_results)
)
result = search_tool.search_catalog(
prompt=prompt,
project_id=project_id,
credentials=creds,
settings=settings,
location=location,
)
with self.subTest("Query Construction"):
# Assert the request was made as expected
expected_query = (
f'({prompt}) AND projectid="{project_id}" AND system=BIGQUERY'
)
self.mock_search_request.assert_called_once_with(
name=f"projects/{project_id}/locations/{location}",
query=expected_query,
page_size=10,
semantic_search=True,
)
self.mock_dataplex_client.search_entries.assert_called_once()
with self.subTest("Response Processing"):
# Assert the output is processed correctly
self.assertEqual(result["status"], "SUCCESS")
self.assertLen(result["results"], 2)
self.assertEqual(
result["results"][0]["display_name"], "uk_football_premiership"
)
self.assertEqual(result["results"][1]["display_name"], "serie_a_matches")
self.assertIn("UK Premier League", result["results"][0]["description"])
def test_search_catalog_default_location(self):
"""Test search_catalog fallback to global location when None is provided."""
creds = _mock_creds()
settings = _mock_settings()
# settings.location is None by default
self.mock_dataplex_client.search_entries.return_value = (
_mock_search_entries_response([])
)
search_tool.search_catalog(
prompt="test",
project_id="test-project",
credentials=creds,
settings=settings,
)
self.mock_search_request.assert_called_once()
_, kwargs = self.mock_search_request.call_args
name_arg = kwargs["name"]
self.assertIn("locations/global", name_arg)
def test_search_catalog_settings_location(self):
"""Test search_catalog uses settings.location when provided."""
creds = _mock_creds()
settings = BigQueryToolConfig(location="eu")
self.mock_dataplex_client.search_entries.return_value = (
_mock_search_entries_response([])
)
search_tool.search_catalog(
prompt="test",
project_id="test-project",
credentials=creds,
settings=settings,
)
self.mock_search_request.assert_called_once()
_, kwargs = self.mock_search_request.call_args
name_arg = kwargs["name"]
self.assertIn("locations/eu", name_arg)