adk-python/tests/unittests/tools/retrieval/test_vertex_ai_rag_retrieval.py
Selcuk Gun 41b33d4a0a Move public_utils to utils in tests
Renamed conflicting utils.py as testing_utils.py

PiperOrigin-RevId: 761715808
2025-05-21 16:35:11 -07:00

148 lines
4.3 KiB
Python

# Copyright 2025 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 google.adk.agents import Agent
from google.adk.tools.function_tool import FunctionTool
from google.adk.tools.retrieval.vertex_ai_rag_retrieval import VertexAiRagRetrieval
from google.genai import types
from ... import testing_utils
def noop_tool(x: str) -> str:
return x
def test_vertex_rag_retrieval_for_gemini_1_x():
responses = [
'response1',
]
mockModel = testing_utils.MockModel.create(responses=responses)
mockModel.model = 'gemini-1.5-pro'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[
VertexAiRagRetrieval(
name='rag_retrieval',
description='rag_retrieval',
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
],
)
],
)
runner = testing_utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 1
assert testing_utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test1'),
]
assert len(mockModel.requests[0].config.tools) == 1
assert (
mockModel.requests[0].config.tools[0].function_declarations[0].name
== 'rag_retrieval'
)
assert mockModel.requests[0].tools_dict['rag_retrieval'] is not None
def test_vertex_rag_retrieval_for_gemini_1_x_with_another_function_tool():
responses = [
'response1',
]
mockModel = testing_utils.MockModel.create(responses=responses)
mockModel.model = 'gemini-1.5-pro'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[
VertexAiRagRetrieval(
name='rag_retrieval',
description='rag_retrieval',
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
],
),
FunctionTool(func=noop_tool),
],
)
runner = testing_utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 1
assert testing_utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test1'),
]
assert len(mockModel.requests[0].config.tools[0].function_declarations) == 2
assert (
mockModel.requests[0].config.tools[0].function_declarations[0].name
== 'rag_retrieval'
)
assert (
mockModel.requests[0].config.tools[0].function_declarations[1].name
== 'noop_tool'
)
assert mockModel.requests[0].tools_dict['rag_retrieval'] is not None
def test_vertex_rag_retrieval_for_gemini_2_x():
responses = [
'response1',
]
mockModel = testing_utils.MockModel.create(responses=responses)
mockModel.model = 'gemini-2.0-flash'
# Calls the first time.
agent = Agent(
name='root_agent',
model=mockModel,
tools=[
VertexAiRagRetrieval(
name='rag_retrieval',
description='rag_retrieval',
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
],
)
],
)
runner = testing_utils.InMemoryRunner(agent)
events = runner.run('test1')
# Asserts the requests.
assert len(mockModel.requests) == 1
assert testing_utils.simplify_contents(mockModel.requests[0].contents) == [
('user', 'test1'),
]
assert len(mockModel.requests[0].config.tools) == 1
assert mockModel.requests[0].config.tools == [
types.Tool(
retrieval=types.Retrieval(
vertex_rag_store=types.VertexRagStore(
rag_corpora=[
'projects/123456789/locations/us-central1/ragCorpora/1234567890'
]
)
)
)
]
assert 'rag_retrieval' not in mockModel.requests[0].tools_dict