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

138 lines
4.1 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.
"""Tests for Workflow handling of bytes and serialization."""
from __future__ import annotations
from typing import Any
from typing import AsyncGenerator
from google.adk.agents.context import Context
from google.adk.events.event import Event
from google.adk.runners import Runner
from google.adk.sessions.in_memory_session_service import InMemorySessionService
from google.adk.workflow import BaseNode
from google.adk.workflow import START
from google.adk.workflow._workflow import Workflow
from google.genai import types
from pydantic import ConfigDict
from pydantic import Field
import pytest
# --- Helpers ---
class _BytesOutputNode(BaseNode):
"""Yields bytes content or raw bytes."""
raw_bytes: bool = False
async def _run_impl(
self, *, ctx: Context, node_input: Any
) -> AsyncGenerator[Any, None]:
data = b"\x89PNG\r\n\x1a\n"
if self.raw_bytes:
yield data
else:
yield Event(
content=types.Content(
parts=[types.Part.from_bytes(data=data, mime_type="image/png")]
),
output="bytes_sent",
)
class _InputCapturingNode(BaseNode):
"""Captures node_input for later assertion."""
model_config = ConfigDict(arbitrary_types_allowed=True)
received_inputs: list[Any] = Field(default_factory=list)
async def _run_impl(
self, *, ctx: Context, node_input: Any
) -> AsyncGenerator[Any, None]:
self.received_inputs.append(node_input)
yield {"received": node_input}
async def _run_workflow(wf, message="start"):
"""Run a Workflow through Runner, return collected events."""
ss = InMemorySessionService()
runner = Runner(app_name="test", node=wf, session_service=ss)
session = await ss.create_session(app_name="test", user_id="u")
msg = types.Content(parts=[types.Part(text=message)], role="user")
events = []
async for event in runner.run_async(
user_id="u", session_id=session.id, new_message=msg
):
events.append(event)
return events, ss, session
# --- Tests ---
@pytest.mark.asyncio
async def test_bytes_in_content_output():
"""Content with bytes propagates to downstream node."""
a = _BytesOutputNode(name="a", raw_bytes=False)
b = _InputCapturingNode(name="b")
wf = Workflow(name="wf", edges=[(START, a, b)])
events, _, _ = await _run_workflow(wf)
assert b.received_inputs == ["bytes_sent"]
@pytest.mark.asyncio
async def test_raw_bytes_output():
"""Raw bytes output propagates to downstream node."""
a = _BytesOutputNode(name="a", raw_bytes=True)
b = _InputCapturingNode(name="b")
wf = Workflow(name="wf", edges=[(START, a, b)])
events, _, _ = await _run_workflow(wf)
assert len(b.received_inputs) == 1
assert isinstance(b.received_inputs[0], bytes)
@pytest.mark.xfail(reason="Checkpoint/resume not yet in new Workflow.")
@pytest.mark.asyncio
async def test_bytes_in_node_input_serialization():
"""Bytes in node input survive checkpoint/resume."""
assert False, "TODO"
@pytest.mark.xfail(reason="Checkpoint/resume not yet in new Workflow.")
@pytest.mark.asyncio
async def test_bytes_in_typed_model_input():
"""Bytes in Pydantic model input survive round-trip."""
assert False, "TODO"
@pytest.mark.xfail(reason="Checkpoint/resume not yet in new Workflow.")
@pytest.mark.asyncio
async def test_bytes_in_trigger_buffer():
"""Bytes in trigger buffer survive serialization."""
assert False, "TODO"
@pytest.mark.xfail(reason="Checkpoint/resume not yet in new Workflow.")
@pytest.mark.asyncio
async def test_bytes_full_workflow_resume():
"""Full resume with bytes data end-to-end."""
assert False, "TODO"