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Moves unittests to root folder and adds github action to run unit tests. (#72)
* Move unit tests to root package. * Adds deps to "test" extra, and mark two broken tests in tests/unittests/auth/test_auth_handler.py * Adds github workflow * minor fix in lite_llm.py for python 3.9. * format pyproject.toml
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147
tests/unittests/tools/retrieval/test_vertex_ai_rag_retrieval.py
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147
tests/unittests/tools/retrieval/test_vertex_ai_rag_retrieval.py
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# Copyright 2025 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 google.adk.agents import Agent
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from google.adk.tools.function_tool import FunctionTool
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from google.adk.tools.retrieval.vertex_ai_rag_retrieval import VertexAiRagRetrieval
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from google.genai import types
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from ... import utils
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def noop_tool(x: str) -> str:
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return x
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def test_vertex_rag_retrieval_for_gemini_1_x():
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responses = [
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'response1',
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]
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mockModel = utils.MockModel.create(responses=responses)
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mockModel.model = 'gemini-1.5-pro'
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# Calls the first time.
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agent = Agent(
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name='root_agent',
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model=mockModel,
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tools=[
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VertexAiRagRetrieval(
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name='rag_retrieval',
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description='rag_retrieval',
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rag_corpora=[
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'projects/123456789/locations/us-central1/ragCorpora/1234567890'
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],
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)
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],
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)
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runner = utils.InMemoryRunner(agent)
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events = runner.run('test1')
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# Asserts the requests.
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assert len(mockModel.requests) == 1
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assert utils.simplify_contents(mockModel.requests[0].contents) == [
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('user', 'test1'),
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]
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assert len(mockModel.requests[0].config.tools) == 1
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assert (
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mockModel.requests[0].config.tools[0].function_declarations[0].name
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== 'rag_retrieval'
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)
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assert mockModel.requests[0].tools_dict['rag_retrieval'] is not None
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def test_vertex_rag_retrieval_for_gemini_1_x_with_another_function_tool():
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responses = [
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'response1',
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]
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mockModel = utils.MockModel.create(responses=responses)
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mockModel.model = 'gemini-1.5-pro'
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# Calls the first time.
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agent = Agent(
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name='root_agent',
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model=mockModel,
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tools=[
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VertexAiRagRetrieval(
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name='rag_retrieval',
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description='rag_retrieval',
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rag_corpora=[
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'projects/123456789/locations/us-central1/ragCorpora/1234567890'
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],
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),
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FunctionTool(func=noop_tool),
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],
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)
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runner = utils.InMemoryRunner(agent)
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events = runner.run('test1')
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# Asserts the requests.
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assert len(mockModel.requests) == 1
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assert utils.simplify_contents(mockModel.requests[0].contents) == [
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('user', 'test1'),
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]
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assert len(mockModel.requests[0].config.tools[0].function_declarations) == 2
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assert (
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mockModel.requests[0].config.tools[0].function_declarations[0].name
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== 'rag_retrieval'
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)
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assert (
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mockModel.requests[0].config.tools[0].function_declarations[1].name
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== 'noop_tool'
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)
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assert mockModel.requests[0].tools_dict['rag_retrieval'] is not None
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def test_vertex_rag_retrieval_for_gemini_2_x():
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responses = [
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'response1',
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]
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mockModel = utils.MockModel.create(responses=responses)
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mockModel.model = 'gemini-2.0-flash'
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# Calls the first time.
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agent = Agent(
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name='root_agent',
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model=mockModel,
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tools=[
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VertexAiRagRetrieval(
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name='rag_retrieval',
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description='rag_retrieval',
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rag_corpora=[
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'projects/123456789/locations/us-central1/ragCorpora/1234567890'
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],
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)
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],
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)
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runner = utils.InMemoryRunner(agent)
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events = runner.run('test1')
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# Asserts the requests.
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assert len(mockModel.requests) == 1
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assert utils.simplify_contents(mockModel.requests[0].contents) == [
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('user', 'test1'),
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]
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assert len(mockModel.requests[0].config.tools) == 1
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assert mockModel.requests[0].config.tools == [
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types.Tool(
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retrieval=types.Retrieval(
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vertex_rag_store=types.VertexRagStore(
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rag_corpora=[
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'projects/123456789/locations/us-central1/ragCorpora/1234567890'
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]
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)
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)
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)
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]
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assert 'rag_retrieval' not in mockModel.requests[0].tools_dict
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