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230 lines
7.4 KiB
Python
230 lines
7.4 KiB
Python
# 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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import base64
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from google.adk.features import FeatureName
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from google.adk.features._feature_registry import temporary_feature_override
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from google.adk.models.llm_request import LlmRequest
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from google.adk.tools.load_artifacts_tool import _maybe_base64_to_bytes
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from google.adk.tools.load_artifacts_tool import load_artifacts_tool
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from google.genai import types
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from pytest import mark
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class _StubToolContext:
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"""Minimal ToolContext stub for LoadArtifactsTool tests."""
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def __init__(self, artifacts_by_name: dict[str, types.Part]):
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self._artifacts_by_name = artifacts_by_name
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async def list_artifacts(self) -> list[str]:
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return list(self._artifacts_by_name.keys())
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async def load_artifact(self, name: str) -> types.Part | None:
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return self._artifacts_by_name.get(name)
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@mark.asyncio
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async def test_load_artifacts_converts_unsupported_mime_to_text():
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"""Unsupported inline MIME types are converted to text parts."""
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artifact_name = 'test.csv'
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csv_bytes = b'col1,col2\n1,2\n'
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artifact = types.Part(
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inline_data=types.Blob(data=csv_bytes, mime_type='application/csv')
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)
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tool_context = _StubToolContext({artifact_name: artifact})
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llm_request = LlmRequest(
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contents=[
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types.Content(
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role='user',
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name='load_artifacts',
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response={'artifact_names': [artifact_name]},
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)
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)
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],
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)
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]
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)
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await load_artifacts_tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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assert llm_request.contents[-1].parts[0].text == (
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f'Artifact {artifact_name} is:'
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)
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artifact_part = llm_request.contents[-1].parts[1]
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assert artifact_part.inline_data is None
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assert artifact_part.text == csv_bytes.decode('utf-8')
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@mark.asyncio
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async def test_load_artifacts_converts_base64_unsupported_mime_to_text():
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"""Unsupported base64 string data is converted to text parts."""
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artifact_name = 'test.csv'
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csv_bytes = b'col1,col2\n1,2\n'
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csv_base64 = base64.b64encode(csv_bytes).decode('ascii')
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artifact = types.Part(
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inline_data=types.Blob(data=csv_base64, mime_type='application/csv')
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)
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tool_context = _StubToolContext({artifact_name: artifact})
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llm_request = LlmRequest(
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contents=[
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types.Content(
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role='user',
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name='load_artifacts',
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response={'artifact_names': [artifact_name]},
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)
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)
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],
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)
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]
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)
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await load_artifacts_tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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artifact_part = llm_request.contents[-1].parts[1]
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assert artifact_part.inline_data is None
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assert artifact_part.text == csv_bytes.decode('utf-8')
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@mark.asyncio
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async def test_load_artifacts_keeps_supported_mime_types():
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"""Supported inline MIME types are passed through unchanged."""
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artifact_name = 'test.pdf'
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artifact = types.Part(
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inline_data=types.Blob(data=b'%PDF-1.4', mime_type='application/pdf')
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)
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tool_context = _StubToolContext({artifact_name: artifact})
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llm_request = LlmRequest(
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contents=[
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types.Content(
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role='user',
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name='load_artifacts',
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response={'artifact_names': [artifact_name]},
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)
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)
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],
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)
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]
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)
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await load_artifacts_tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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artifact_part = llm_request.contents[-1].parts[1]
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assert artifact_part.inline_data is not None
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assert artifact_part.inline_data.mime_type == 'application/pdf'
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@mark.asyncio
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@mark.parametrize(
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'mime_type',
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['image/svg+xml', 'image/svg', 'application/svg+xml', 'image/xml'],
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)
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async def test_load_artifacts_converts_svg_to_text(mime_type):
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"""SVG/XML image variants are rejected by Gemini with 400 INVALID_ARGUMENT,
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so they must fall through to the text-conversion path instead of being
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forwarded as inline image data.
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"""
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artifact_name = 'logo.svg'
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svg_bytes = (
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b'<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 10 10">'
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b'<circle cx="5" cy="5" r="4"/></svg>'
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)
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artifact = types.Part(
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inline_data=types.Blob(data=svg_bytes, mime_type=mime_type)
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)
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tool_context = _StubToolContext({artifact_name: artifact})
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llm_request = LlmRequest(
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contents=[
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types.Content(
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role='user',
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parts=[
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types.Part(
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function_response=types.FunctionResponse(
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name='load_artifacts',
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response={'artifact_names': [artifact_name]},
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)
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)
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],
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)
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]
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)
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await load_artifacts_tool.process_llm_request(
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tool_context=tool_context, llm_request=llm_request
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)
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artifact_part = llm_request.contents[-1].parts[1]
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# The SVG must NOT be forwarded as inline image data — Gemini would 400.
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assert artifact_part.inline_data is None
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# And the original SVG markup is delivered as a text part instead.
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assert artifact_part.text == svg_bytes.decode('utf-8')
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def test_maybe_base64_to_bytes_decodes_standard_base64():
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"""Standard base64 encoded strings are decoded correctly."""
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original = b'hello world'
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encoded = base64.b64encode(original).decode('ascii')
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assert _maybe_base64_to_bytes(encoded) == original
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def test_maybe_base64_to_bytes_decodes_urlsafe_base64():
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"""URL-safe base64 encoded strings are decoded correctly."""
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original = b'\xfb\xff\xfe' # bytes that produce +/ in std but -_ in urlsafe
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encoded = base64.urlsafe_b64encode(original).decode('ascii')
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assert _maybe_base64_to_bytes(encoded) == original
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def test_maybe_base64_to_bytes_returns_none_for_invalid():
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"""Invalid base64 strings return None."""
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# Single character is invalid (base64 requires length % 4 == 0 after padding)
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assert _maybe_base64_to_bytes('x') is None
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def test_get_declaration_with_json_schema_feature_enabled():
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"""Test that _get_declaration uses parameters_json_schema when feature is enabled."""
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with temporary_feature_override(FeatureName.JSON_SCHEMA_FOR_FUNC_DECL, True):
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declaration = load_artifacts_tool._get_declaration()
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assert declaration.name == 'load_artifacts'
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assert declaration.parameters is None
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assert declaration.parameters_json_schema == {
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'type': 'object',
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'properties': {
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'artifact_names': {
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'type': 'array',
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'items': {'type': 'string'},
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},
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},
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}
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