Files
Artemis-Eapil/tests/unit/agents/test_video_audio_native.py
T
somew1nd a45daf23f8 feat: add agentic video analysis and clarify action results
Report device actions as dispatched and preserve full failure details. Route
Flash through McpActionExecutor and use ToolFailure across helper tools and
agent loops instead of inferring failure from response text.

Require model-provided descriptions for coordinate targets. Keep observed
element metadata separate from those descriptions in safety checks, visual
summaries, history, and frontend labels.

Add Gemini Interactions API video analysis with configurable processing mode,
chunk size, and timeouts. Centralize Google provider capabilities and token
usage normalization, and update google-genai to 2.22.0.

Preserve system instructions on follow-up interactions, replan pending chunks
when falling back to static processing, and reject unanswered native video
and audio segments instead of caching placeholder results. Keep helper-tool
failure status intact through history tools and committee calls.

Validation: 1,762 Python unit tests passed (3 skipped), 40 frontend formatter
tests passed, and the production UI build completed. Ruff lint, formatting,
the quality ratchet, and git diff checks passed.
2026-09-08 17:05:54 -07:00

158 lines
5.8 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.
"""Native Gemini audio agent loop: only accepted answers reach the blackboard."""
from types import SimpleNamespace
from unittest.mock import AsyncMock, MagicMock
from artemis.agents.video_analyzer.audio_native import (
_BAD_CONFIDENCE_ERROR,
_AudioMedia,
_drive_audio_agent_loop,
_run_native_audio_conversation,
)
from artemis.agents.video_analyzer.chunk_conversation import (
_MISSING_SUMMARY_ERROR,
_NO_TOOL_CALL_ERROR,
SUB_AGENT_MAX_TURNS,
)
from artemis.agents.video_analyzer.reliability import (
SubAgentAnswerExhausted,
VideoFailureCategory,
classify_video_failure,
)
from artemis.agents.video_analyzer.universal_tools import build_submit_answer_declaration
from google.genai import types
import pytest
def _audio_response(text: str, function_calls: list) -> SimpleNamespace:
"""Fakes a non-streamed ``generate_content`` response for one audio turn."""
parts = [types.Part(function_call=fc) for fc in function_calls]
if text:
parts.append(types.Part.from_text(text=text))
return SimpleNamespace(
text=text,
function_calls=function_calls,
candidates=[SimpleNamespace(content=SimpleNamespace(parts=parts))],
)
def _audio_analyzer(*turns) -> MagicMock:
"""Analyzer stub whose Gemini client answers the scripted ``(text, calls)`` turns."""
analyzer = MagicMock()
analyzer.model_name = "gemini-3.7-flash"
analyzer.audio_system_prompt = "system"
analyzer.submit_answer_tool = build_submit_answer_declaration()
analyzer.model_call_timeout_seconds = 5.0
analyzer.ctx.data_engine = None
analyzer.client.aio.models.generate_content = AsyncMock(
side_effect=[_audio_response(text, calls) for text, calls in turns]
)
return analyzer
def _audio_media(tmp_path) -> _AudioMedia:
media = _AudioMedia()
media.audio_path = tmp_path / "segment.wav"
media.audio_path.write_bytes(b"audio")
media.actual_start = 0.0
media.prompt_with_context = "Listen for the chime."
return media
@pytest.mark.asyncio
async def test_audio_submit_answer_without_summary_is_sent_back_then_accepted():
first = types.FunctionCall(
name="submit_answer", args={"summary": " ", "confidence_score": 0.9}
)
second = types.FunctionCall(
name="submit_answer",
args={"summary": "chime\nheard", "analysis": "a2", "confidence_score": 0.7},
)
analyzer = _audio_analyzer(("", [first]), ("", [second]))
contents: list = []
answer = await _drive_audio_agent_loop(analyzer, contents)
assert answer == ("chime heard", "a2", 0.7)
assert analyzer.client.aio.models.generate_content.await_count == 2
# The blank summary went back to the model as a function_response error.
rejections = [
c
for c in contents
if c.role == "user" and c.parts and c.parts[0].function_response is not None
]
assert len(rejections) == 1
assert rejections[0].parts[0].function_response.response["error"] == _MISSING_SUMMARY_ERROR
@pytest.mark.asyncio
async def test_audio_loop_raises_when_no_turn_calls_submit_answer():
analyzer = _audio_analyzer(("text only", []), ("still text", []))
with pytest.raises(SubAgentAnswerExhausted) as raised:
await _drive_audio_agent_loop(analyzer, [])
assert raised.value.turns == SUB_AGENT_MAX_TURNS
assert raised.value.reason == _NO_TOOL_CALL_ERROR
assert "No summary provided" not in str(raised.value)
@pytest.mark.asyncio
async def test_audio_loop_raises_when_confidence_score_is_never_valid():
first = types.FunctionCall(
name="submit_answer", args={"summary": "s1", "confidence_score": "HIGH"}
)
second = types.FunctionCall(
name="submit_answer", args={"summary": "s2", "confidence_score": 1.5}
)
analyzer = _audio_analyzer(("", [first]), ("", [second]))
contents: list = []
with pytest.raises(SubAgentAnswerExhausted) as raised:
await _drive_audio_agent_loop(analyzer, contents)
assert raised.value.reason == _BAD_CONFIDENCE_ERROR
assert contents[-1].role == "user"
assert contents[-1].parts[0].function_response.response["error"] == _BAD_CONFIDENCE_ERROR
@pytest.mark.asyncio
async def test_exhausted_audio_segment_is_not_committed_and_cloud_file_is_deleted(tmp_path):
analyzer = _audio_analyzer(("text only", []), ("still text", []))
uploaded = SimpleNamespace(name="files/abc", uri="https://files/abc", mime_type="audio/wav")
analyzer.upload_and_poll_file = AsyncMock(return_value=uploaded)
analyzer.client.aio.files.delete = AsyncMock()
analyzer.cloud_files_to_cleanup = {"files/abc"}
analyzer._record_blackboard_entry = MagicMock()
analyzer.blackboard = MagicMock()
with pytest.raises(SubAgentAnswerExhausted):
await _run_native_audio_conversation(
analyzer, _audio_media(tmp_path), 0.0, 5.0, 0.0, 5.0, "chime", "lease-1"
)
analyzer.blackboard.complete_segment.assert_not_called()
analyzer._record_blackboard_entry.assert_not_called()
analyzer.client.aio.files.delete.assert_awaited_once_with(name="files/abc")
assert analyzer.cloud_files_to_cleanup == set()
def test_sub_agent_exhaustion_is_classified_unknown():
failure = classify_video_failure(SubAgentAnswerExhausted(2, "x"))
assert failure.category is VideoFailureCategory.UNKNOWN