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

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