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google--adk-python/tests/unittests/plugins/test_bigquery_agent_analytics_plugin.py
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George Weale 96573404a5 refactor(types): type the built-in plugins for strict mypy 
Co-authored-by: George Weale <gweale@google.com>
PiperOrigin-RevId: 970126718
2026-08-24 15:44:41 -07:00

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# 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.
from __future__ import annotations
import asyncio
import contextlib
import dataclasses
import json
import logging
import os
import sys
import threading
import time
from unittest import mock
from google.adk.agents import base_agent
from google.adk.agents.callback_context import CallbackContext
from google.adk.agents.invocation_context import InvocationContext
from google.adk.events import event as event_lib
from google.adk.events import event_actions as event_actions_lib
from google.adk.models import llm_request as llm_request_lib
from google.adk.models import llm_response as llm_response_lib
from google.adk.platform import thread as platform_thread
from google.adk.plugins import bigquery_agent_analytics_plugin
from google.adk.plugins import plugin_manager as plugin_manager_lib
from google.adk.sessions import base_session_service as base_session_service_lib
from google.adk.sessions import session as session_lib
from google.adk.tools import base_tool as base_tool_lib
from google.adk.tools import tool_context as tool_context_lib
from google.adk.utils import streaming_utils
from google.adk.utils._telemetry_context import _is_visual_builder
from google.adk.version import __version__
from google.api_core import exceptions as api_exceptions
import google.auth
from google.auth import exceptions as auth_exceptions
import google.auth.credentials
from google.cloud import bigquery
from google.cloud import exceptions as cloud_exceptions
from google.genai import types
from opentelemetry import trace
import pyarrow as pa
from pydantic import BaseModel
import pytest
PROJECT_ID = "test-gcp-project"
DATASET_ID = "adk_logs"
TABLE_ID = "agent_events"
DEFAULT_STREAM_NAME = (
f"projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}/_default"
)
# --- Pytest Fixtures ---
@pytest.fixture
def mock_session():
mock_s = mock.create_autospec(
session_lib.Session, instance=True, spec_set=True
)
type(mock_s).id = mock.PropertyMock(return_value="session-123")
type(mock_s).user_id = mock.PropertyMock(return_value="user-456")
type(mock_s).app_name = mock.PropertyMock(return_value="test_app")
type(mock_s).state = mock.PropertyMock(return_value={})
return mock_s
@pytest.fixture
def mock_agent():
mock_a = mock.create_autospec(
base_agent.BaseAgent, instance=True, spec_set=True
)
# Mock the 'name' property
type(mock_a).name = mock.PropertyMock(return_value="MyTestAgent")
type(mock_a).instruction = mock.PropertyMock(return_value="Test Instruction")
return mock_a
@pytest.fixture
def invocation_context(mock_agent, mock_session):
mock_session_service = mock.create_autospec(
base_session_service_lib.BaseSessionService, instance=True, spec_set=True
)
mock_plugin_manager = mock.create_autospec(
plugin_manager_lib.PluginManager, instance=True, spec_set=True
)
return InvocationContext(
agent=mock_agent,
session=mock_session,
invocation_id="inv-789",
session_service=mock_session_service,
plugin_manager=mock_plugin_manager,
)
@pytest.fixture
def callback_context(invocation_context):
return CallbackContext(invocation_context=invocation_context)
@pytest.fixture
def tool_context(invocation_context):
return tool_context_lib.ToolContext(invocation_context=invocation_context)
class FakeCredentials(google.auth.credentials.Credentials):
def __init__(self):
pass
def refresh(self, request):
pass
@pytest.fixture
def mock_auth_default():
mock_creds = FakeCredentials()
with mock.patch.object(
google.auth,
"default",
autospec=True,
return_value=(mock_creds, PROJECT_ID),
) as mock_auth:
yield mock_auth
@pytest.fixture
def mock_bq_client():
with mock.patch.object(bigquery, "Client", autospec=True) as mock_cls:
yield mock_cls.return_value
@pytest.fixture
def mock_write_client():
with mock.patch.object(
bigquery_agent_analytics_plugin, "BigQueryWriteAsyncClient", autospec=True
) as mock_cls:
mock_client = mock_cls.return_value
mock_client.transport = mock.AsyncMock()
async def fake_append_rows(requests, **kwargs):
# This function is now async, so `await client.append_rows` works.
mock_append_rows_response = mock.MagicMock()
mock_append_rows_response.row_errors = []
mock_append_rows_response.error = mock.MagicMock()
mock_append_rows_response.error.code = 0 # OK status
# This a gen is what's returned *after* the await.
return _async_gen(mock_append_rows_response)
mock_client.append_rows.side_effect = fake_append_rows
yield mock_client
@pytest.fixture
def dummy_arrow_schema():
return pa.schema([
pa.field("timestamp", pa.timestamp("us", tz="UTC"), nullable=False),
pa.field("event_id", pa.string(), nullable=True),
pa.field("root_agent_name", pa.string(), nullable=True),
pa.field("event_type", pa.string(), nullable=True),
pa.field("agent", pa.string(), nullable=True),
pa.field("session_id", pa.string(), nullable=True),
pa.field("invocation_id", pa.string(), nullable=True),
pa.field("user_id", pa.string(), nullable=True),
pa.field("trace_id", pa.string(), nullable=True),
pa.field("span_id", pa.string(), nullable=True),
pa.field("parent_span_id", pa.string(), nullable=True),
pa.field(
"content", pa.string(), nullable=True
), # JSON stored as string in Arrow
pa.field(
"content_parts",
pa.list_(
pa.struct([
pa.field("mime_type", pa.string(), nullable=True),
pa.field("uri", pa.string(), nullable=True),
pa.field(
"object_ref",
pa.struct([
pa.field("uri", pa.string(), nullable=True),
pa.field("authorizer", pa.string(), nullable=True),
pa.field("version", pa.string(), nullable=True),
pa.field(
"details",
pa.string(),
nullable=True,
metadata={
b"ARROW:extension:name": (
b"google:sqlType:json"
)
},
),
]),
nullable=True,
),
pa.field("text", pa.string(), nullable=True),
pa.field("part_index", pa.int64(), nullable=True),
pa.field("part_attributes", pa.string(), nullable=True),
pa.field("storage_mode", pa.string(), nullable=True),
])
),
nullable=True,
),
pa.field("attributes", pa.string(), nullable=True),
pa.field("latency_ms", pa.string(), nullable=True),
pa.field("status", pa.string(), nullable=True),
pa.field("error_message", pa.string(), nullable=True),
pa.field("is_truncated", pa.bool_(), nullable=True),
])
@pytest.fixture
def mock_to_arrow_schema(dummy_arrow_schema):
with mock.patch.object(
bigquery_agent_analytics_plugin,
"to_arrow_schema",
autospec=True,
return_value=dummy_arrow_schema,
) as mock_func:
yield mock_func
@pytest.fixture
def mock_asyncio_to_thread():
async def fake_to_thread(func, *args, **kwargs):
return func(*args, **kwargs)
with mock.patch(
"asyncio.to_thread", side_effect=fake_to_thread
) as mock_async:
yield mock_async
@pytest.fixture
def mock_storage_client():
with mock.patch("google.cloud.storage.Client") as mock_client:
yield mock_client
@pytest.fixture
async def bq_plugin_inst(
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
await plugin._ensure_started() # Ensure clients are initialized
mock_write_client.append_rows.reset_mock()
yield plugin
await plugin.shutdown()
@contextlib.asynccontextmanager
async def managed_plugin(*args, **kwargs):
"""Async context manager to ensure plugin shutdown."""
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
*args, **kwargs
)
try:
yield plugin
finally:
await plugin.shutdown()
# --- Helper Functions ---
async def _async_gen(val):
yield val
async def _get_captured_event_dict_async(mock_write_client, expected_schema):
"""Helper to get the event_dict passed to append_rows."""
mock_write_client.append_rows.assert_called_once()
call_args = mock_write_client.append_rows.call_args
requests_iter = call_args.args[0]
requests = []
if hasattr(requests_iter, "__aiter__"):
async for req in requests_iter:
requests.append(req)
else:
requests = list(requests_iter)
assert len(requests) == 1
request = requests[0]
assert request.write_stream == DEFAULT_STREAM_NAME
assert request.trace_id.startswith("google-adk-bq-logger")
assert request.trace_id.endswith(f"/{__version__}")
# Parse the Arrow batch back to a dict for verification
try:
reader = pa.ipc.open_stream(request.arrow_rows.rows.serialized_record_batch)
table = reader.read_all()
except Exception:
# Fallback: try reading as a single batch
buf = pa.py_buffer(request.arrow_rows.rows.serialized_record_batch)
batch = pa.ipc.read_record_batch(buf, expected_schema)
table = pa.Table.from_batches([batch])
assert table.schema.equals(
expected_schema
), f"Schema mismatch: Expected {expected_schema}, got {table.schema}"
pydict = table.to_pydict()
return {k: v[0] for k, v in pydict.items()}
async def _get_captured_rows_async(mock_write_client, expected_schema):
"""Helper to get all rows passed to append_rows."""
all_rows = []
for call in mock_write_client.append_rows.call_args_list:
requests_iter = call.args[0]
requests = []
if hasattr(requests_iter, "__aiter__"):
async for req in requests_iter:
requests.append(req)
else:
requests = list(requests_iter)
for request in requests:
# Parse the Arrow batch back to a dict for verification
try:
reader = pa.ipc.open_stream(
request.arrow_rows.rows.serialized_record_batch
)
table = reader.read_all()
except Exception:
# Fallback: try reading as a single batch
buf = pa.py_buffer(request.arrow_rows.rows.serialized_record_batch)
batch = pa.ipc.read_record_batch(buf, expected_schema)
table = pa.Table.from_batches([batch])
pydict = table.to_pylist()
all_rows.extend(pydict)
return all_rows
def _assert_common_fields(log_entry, event_type, agent="MyTestAgent"):
assert log_entry["event_type"] == event_type
assert log_entry["agent"] == agent
assert log_entry["session_id"] == "session-123"
assert log_entry["invocation_id"] == "inv-789"
def test_recursive_smart_truncate():
"""Test recursive smart truncate."""
obj = {
"a": "long string" * 10,
"b": ["short", "long string" * 10],
"c": {"d": "long string" * 10},
}
max_len = 10
truncated, is_truncated = (
bigquery_agent_analytics_plugin._recursive_smart_truncate(obj, max_len)
)
assert is_truncated
assert truncated["a"] == "long strin...[TRUNCATED]"
assert truncated["b"][0] == "short"
assert truncated["b"][1] == "long strin...[TRUNCATED]"
assert truncated["c"]["d"] == "long strin...[TRUNCATED]"
def test_recursive_smart_truncate_with_dataclasses():
"""Test recursive smart truncate with dataclasses."""
@dataclasses.dataclass
class LocalMissedKPI:
kpi: str
value: float
@dataclasses.dataclass
class LocalIncident:
id: str
kpi_missed: list[LocalMissedKPI]
status: str
incident = LocalIncident(
id="inc-123",
kpi_missed=[LocalMissedKPI(kpi="latency", value=99.9)],
status="active",
)
content = {"result": incident}
max_len = 1000
truncated, is_truncated = (
bigquery_agent_analytics_plugin._recursive_smart_truncate(
content, max_len
)
)
assert not is_truncated
assert isinstance(truncated["result"], dict)
assert truncated["result"]["id"] == "inc-123"
assert isinstance(truncated["result"]["kpi_missed"][0], dict)
assert truncated["result"]["kpi_missed"][0]["kpi"] == "latency"
def test_recursive_smart_truncate_redaction():
"""Test that sensitive keys and temp: state keys are redacted."""
obj = {
"client_secret": "super-secret-123",
"access_token": "ya29.blah",
"refresh_token": "1//0g",
"id_token": "eyJhb",
"api_key": "AIza",
"password": "my-password",
"private_key": "private-key-material",
"token": "generic-token",
"secret": "generic-secret",
"authorization": "Bearer credential",
"safe_key": "safe-value",
"temp:auth_state": "some-auth-state",
"nested": {
"CLIENT_SECRET": "nested-secret",
"normal": "value",
},
}
max_len = 1000
truncated, is_truncated = (
bigquery_agent_analytics_plugin._recursive_smart_truncate(obj, max_len)
)
assert not is_truncated
assert truncated["client_secret"] == "[REDACTED]"
assert truncated["access_token"] == "[REDACTED]"
assert truncated["refresh_token"] == "[REDACTED]"
assert truncated["id_token"] == "[REDACTED]"
assert truncated["api_key"] == "[REDACTED]"
assert truncated["password"] == "[REDACTED]"
assert truncated["private_key"] == "[REDACTED]"
assert truncated["token"] == "[REDACTED]"
assert truncated["secret"] == "[REDACTED]"
assert truncated["authorization"] == "[REDACTED]"
assert truncated["safe_key"] == "safe-value"
assert truncated["temp:auth_state"] == "[REDACTED]"
assert truncated["nested"]["CLIENT_SECRET"] == "[REDACTED]"
assert truncated["nested"]["normal"] == "value"
class TestBigQueryAgentAnalyticsPlugin:
"""Tests for the BigQueryAgentAnalyticsPlugin."""
@pytest.mark.asyncio
async def test_plugin_disabled(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
invocation_context,
):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(enabled=False)
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
) as plugin:
# user_message = types.Content(parts=[types.Part(text="Test")])
await plugin.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
mock_auth_default.assert_not_called()
mock_bq_client.assert_not_called()
@pytest.mark.asyncio
async def test_enriched_metadata_logging(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
callback_context,
):
# Setup
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
async with managed_plugin(PROJECT_ID, DATASET_ID, config=config) as plugin:
# Mock root agent
mock_root = mock.create_autospec(
base_agent.BaseAgent, instance=True, spec_set=True
)
type(mock_root).name = mock.PropertyMock(return_value="RootAgent")
callback_context._invocation_context.agent.root_agent = mock_root
# 1. Test root_agent_name and model extraction from request
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Hi")])],
)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
# 2. Test model_version and usage_metadata extraction from response
usage = types.GenerateContentResponseUsageMetadata(
prompt_token_count=10, candidates_token_count=20, total_token_count=30
)
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="Hello")]),
usage_metadata=usage,
model_version="v1.2.3",
)
await plugin.after_model_callback(
callback_context=callback_context, llm_response=llm_response
)
# Verify captured rows from mock client
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
assert len(rows) == 2
# Check LLM_REQUEST row
# Sort by event_type to ensure consistent indexing
rows.sort(key=lambda x: x["event_type"])
request_row = rows[0] # LLM_REQUEST
response_row = rows[1] # LLM_RESPONSE
assert request_row["event_type"] == "LLM_REQUEST"
attr_req = json.loads(request_row["attributes"])
assert attr_req["root_agent_name"] == "RootAgent"
assert attr_req["model"] == "gemini-pro"
# Check LLM_RESPONSE row
assert response_row["event_type"] == "LLM_RESPONSE"
attr_res = json.loads(response_row["attributes"])
assert attr_res["root_agent_name"] == "RootAgent"
assert attr_res["model_version"] == "v1.2.3"
usage_meta = attr_res["usage_metadata"]
assert "prompt_token_count" in usage_meta
assert usage_meta["prompt_token_count"] == 10
mock_write_client.append_rows.assert_called()
@pytest.mark.asyncio
async def test_concurrent_span_management(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
callback_context,
):
# Setup
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, config=config
)
# Initialize trace in main context
bigquery_agent_analytics_plugin.TraceManager.init_trace(callback_context)
async def branch_1():
s_id = bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, span_name="span-1"
)
await asyncio.sleep(0.02)
current_s_id = (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_id()
)
assert s_id == current_s_id
bigquery_agent_analytics_plugin.TraceManager.pop_span()
return s_id
async def branch_2():
s_id = bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, span_name="span-2"
)
await asyncio.sleep(0.02)
current_s_id = (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_id()
)
assert s_id == current_s_id
bigquery_agent_analytics_plugin.TraceManager.pop_span()
return s_id
# Run concurrently
results = await asyncio.gather(branch_1(), branch_2())
# If they shared the same list/dict, they would interfere.
assert results[0] is not None
assert results[1] is not None
assert results[0] != results[1]
@pytest.mark.asyncio
async def test_event_allowlist(
self,
mock_write_client,
callback_context,
invocation_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
_ = mock_auth_default
_ = mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
event_allowlist=["LLM_REQUEST"]
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Prompt")])],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
mock_write_client.append_rows.reset_mock()
user_message = types.Content(parts=[types.Part(text="What is up?")])
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await plugin.flush()
mock_write_client.append_rows.assert_not_called()
@pytest.mark.asyncio
async def test_event_denylist(
self,
mock_write_client,
invocation_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
_ = mock_auth_default
_ = mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
event_denylist=["USER_MESSAGE_RECEIVED"]
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
user_message = types.Content(parts=[types.Part(text="What is up?")])
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await plugin.flush()
mock_write_client.append_rows.assert_not_called()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.before_run_callback(invocation_context=invocation_context)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
@pytest.mark.asyncio
async def test_append_rows_sets_regional_routing_header(
self,
mock_write_client,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Regression test for cross-region writes.
The Storage Write API streaming AppendRows RPC does not
auto-populate the request-routing header, so writes to a dataset
outside the US multiregion (e.g. northamerica-northeast1) fail with
a "session not found" / stream-not-found error unless the header is
set explicitly. Assert the header is passed to append_rows so the
request reaches the region that owns the write stream.
"""
_ = mock_auth_default
_ = mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
async with managed_plugin(
PROJECT_ID,
DATASET_ID,
table_id=TABLE_ID,
config=config,
location="northamerica-northeast1",
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Prompt")])],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
metadata = mock_write_client.append_rows.call_args.kwargs.get("metadata")
assert metadata is not None, "append_rows must receive routing metadata"
assert (
"x-goog-request-params",
f"write_stream={DEFAULT_STREAM_NAME}",
) in tuple(metadata)
@pytest.mark.asyncio
async def test_content_formatter(
self,
mock_write_client,
invocation_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Test content formatter."""
_ = mock_auth_default
_ = mock_bq_client
def redact_content(content, event_type):
return "[REDACTED]"
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=redact_content
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
user_message = types.Content(parts=[types.Part(text="Secret message")])
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
# If the formatter returns a string, it's stored directly.
assert log_entry["content"] == "[REDACTED]"
@pytest.mark.asyncio
async def test_content_formatter_error(
self,
mock_write_client,
invocation_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Test content formatter error handling."""
_ = mock_auth_default
_ = mock_bq_client
def error_formatter(content, event_type):
raise ValueError("Formatter failed")
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=error_formatter
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
user_message = types.Content(parts=[types.Part(text="Secret message")])
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
# Fail CLOSED: a raising formatter must never fall back
# to the unformatted payload. The row keeps its metadata but content
# is replaced with the sentinel, and the loss is observable.
assert "Secret message" not in str(log_entry["content"])
assert bigquery_agent_analytics_plugin._FORMATTER_FAILED_SENTINEL in str(
log_entry["content"]
)
assert log_entry["event_type"] == "USER_MESSAGE_RECEIVED"
assert plugin.get_drop_stats().get("formatter_failed") == 1
@pytest.mark.asyncio
async def test_max_content_length(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
_ = mock_auth_default
_ = mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=40
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# Test User Message Truncation
user_message = types.Content(
parts=[types.Part(text="12345678901234567890123456789012345678901")]
) # 41 chars
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert (
log_entry["content"]
== '{"text_summary":'
' "1234567890123456789012345678901234567890...[TRUNCATED]"}'
)
assert log_entry["is_truncated"]
mock_write_client.append_rows.reset_mock()
# Test before_model_callback full content truncation
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
config=types.GenerateContentConfig(
system_instruction=types.Content(
parts=[types.Part(text="System Instruction")]
)
),
contents=[
types.Content(role="user", parts=[types.Part(text="Prompt")])
],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
# Full content: {"prompt": "text: 'Prompt'",
# "system_prompt": "text: 'System Instruction'"}
# In our new logic, we don't truncate the whole JSON string if it's valid JSON.
# Instead, we should have truncated the values within the dict, but currently we don't.
# For now, update test to reflect current behavior (valid JSON, no truncation of the whole string).
assert log_entry["content"].startswith(
'{"prompt": [{"role": "user", "content": "Prompt"}]'
)
assert log_entry["is_truncated"] is False
@pytest.mark.asyncio
async def test_max_content_length_tool_args(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
_ = mock_auth_default
_ = mock_bq_client
_ = mock_to_arrow_schema
_ = mock_asyncio_to_thread
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=80
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
type(mock_tool).description = mock.PropertyMock(
return_value="Description"
)
# Args length > 80
# {"param": "A" * 100} is > 100 chars.
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.before_tool_callback(
tool=mock_tool,
tool_args={"param": "A" * 100},
tool_context=tool_context,
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_STARTING")
# Now we do truncate nested values, and is_truncated flag is True
assert log_entry["is_truncated"]
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["args"]["param"].endswith("...[TRUNCATED]")
@pytest.mark.asyncio
async def test_max_content_length_tool_args_no_truncation(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=-1
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
type(mock_tool).description = mock.PropertyMock(
return_value="Description"
)
# Args length > 80
# {"param": "A" * 100} is > 100 chars.
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.before_tool_callback(
tool=mock_tool,
tool_args={"param": "A" * 100},
tool_context=tool_context,
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_STARTING")
# No truncation
assert not log_entry["is_truncated"]
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["args"]["param"] == "A" * 100
@pytest.mark.asyncio
async def test_max_content_length_tool_result(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_asyncio_to_thread,
mock_to_arrow_schema,
dummy_arrow_schema,
):
"""Test max content length for tool result."""
_ = mock_auth_default
_ = mock_bq_client
_ = mock_to_arrow_schema
_ = mock_asyncio_to_thread
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=80
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
# Result length > 80
# {"res": "A" * 100} is > 100 chars.
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.after_tool_callback(
tool=mock_tool,
tool_args={},
tool_context=tool_context,
result={"res": "A" * 100},
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_COMPLETED")
# Now we do truncate nested values, and is_truncated flag is True
assert log_entry["is_truncated"]
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["result"]["res"].endswith("...[TRUNCATED]")
@pytest.mark.asyncio
async def test_max_content_length_tool_result_no_truncation(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Test max content length for tool result with no truncation."""
_ = mock_auth_default
_ = mock_bq_client
_ = mock_to_arrow_schema
_ = mock_asyncio_to_thread
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=-1
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
# Result length > 80
# {"res": "A" * 100} is > 100 chars.
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.after_tool_callback(
tool=mock_tool,
tool_args={},
tool_context=tool_context,
result={"res": "A" * 100},
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_COMPLETED")
# No truncation
assert not log_entry["is_truncated"]
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["result"]["res"] == "A" * 100
@pytest.mark.asyncio
async def test_after_tool_callback_logs_agent_response_for_final_tool(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""A configured final-response tool also logs AGENT_RESPONSE from its args."""
_ = mock_auth_default
_ = mock_bq_client
_ = mock_to_arrow_schema
_ = mock_asyncio_to_thread
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
final_response_tool_names=frozenset({"submit_final_response"})
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(
return_value="submit_final_response"
)
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.after_tool_callback(
tool=mock_tool,
tool_args={"answer": "The table has 241 rows."},
tool_context=tool_context,
result={"status": "SUCCESS"},
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
event_types = [r["event_type"] for r in rows]
assert "TOOL_COMPLETED" in event_types
assert event_types.count("AGENT_RESPONSE") == 1
agent_resp = next(r for r in rows if r["event_type"] == "AGENT_RESPONSE")
content_dict = json.loads(agent_resp["content"])
assert content_dict["response"] == {"answer": "The table has 241 rows."}
attributes = json.loads(agent_resp["attributes"])
assert attributes["source_tool"] == "submit_final_response"
@pytest.mark.asyncio
async def test_after_tool_callback_no_agent_response_by_default(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""With the default empty set, a tool never emits AGENT_RESPONSE."""
_ = mock_auth_default
_ = mock_bq_client
_ = mock_to_arrow_schema
_ = mock_asyncio_to_thread
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(
return_value="submit_final_response"
)
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.after_tool_callback(
tool=mock_tool,
tool_args={"answer": "hi"},
tool_context=tool_context,
result={"status": "SUCCESS"},
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
event_types = [r["event_type"] for r in rows]
assert "AGENT_RESPONSE" not in event_types
@pytest.mark.asyncio
async def test_max_content_length_tool_error(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=80
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
# Args length > 80
# {"arg": "A" * 100} is > 100 chars.
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await plugin.on_tool_error_callback(
tool=mock_tool,
tool_args={"arg": "A" * 100},
tool_context=tool_context,
error=ValueError("Oops"),
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry["content"].startswith(
'{"tool": "MyTool", "args": {"arg": "AAAAA'
)
# Check for truncation in the nested value
content_dict = json.loads(log_entry["content"])
assert content_dict["args"]["arg"].endswith("...[TRUNCATED]")
assert log_entry["is_truncated"]
assert log_entry["error_message"] == "Oops"
@pytest.mark.asyncio
async def test_on_user_message_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
user_message = types.Content(parts=[types.Part(text="What is up?")])
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "USER_MESSAGE_RECEIVED")
assert log_entry["content"] == '{"text_summary": "What is up?"}'
@pytest.mark.asyncio
async def test_offloading_with_connection_id(
self,
mock_write_client,
invocation_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
mock_storage_client,
):
_ = mock_auth_default
_ = mock_bq_client
_ = mock_to_arrow_schema
_ = mock_asyncio_to_thread
# Mock GCS bucket
mock_bucket = mock.Mock()
mock_blob = mock.Mock()
mock_bucket.blob.return_value = mock_blob
mock_bucket.name = "my-bucket"
mock_storage_client.return_value.bucket.return_value = mock_bucket
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
gcs_bucket_name="my-bucket",
connection_id="us.my-connection",
max_content_length=20, # Small limit to force offloading
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started(
storage_client=mock_storage_client.return_value
)
mock_write_client.append_rows.reset_mock()
# Create mixed content: one small inline, one large offloaded
small_text = "Small inline text"
large_text = "A" * 100
user_message = types.Content(
parts=[types.Part(text=small_text), types.Part(text=large_text)]
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
# Verify content parts
assert len(log_entry["content_parts"]) == 2
# Part 0: Inline
part0 = log_entry["content_parts"][0]
assert part0["storage_mode"] == "INLINE"
assert part0["text"] == small_text
assert part0["object_ref"] is None
# Part 1: Offloaded
part1 = log_entry["content_parts"][1]
assert part1["storage_mode"] == "GCS_REFERENCE"
assert part1["uri"].startswith("gs://my-bucket/")
assert part1["object_ref"]["uri"] == part1["uri"]
assert part1["object_ref"]["authorizer"] == "us.my-connection"
assert json.loads(part1["object_ref"]["details"]) == {
"gcs_metadata": {"content_type": "text/plain"}
}
# Removed on_event_callback tests as they are no longer applicable in V2
@pytest.mark.asyncio
async def test_bigquery_client_initialization_failure(
self,
mock_auth_default,
mock_write_client,
invocation_context,
mock_asyncio_to_thread,
):
_ = mock_asyncio_to_thread
mock_auth_default.side_effect = auth_exceptions.GoogleAuthError(
"Auth failed"
)
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
) as plugin_with_fail:
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.logger"
) as mock_logger:
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context
)
await plugin_with_fail.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
await plugin_with_fail.flush()
mock_logger.error.assert_called_with(
"Failed to initialize BigQuery Plugin (attempt %d, next"
" retry in %.0fs): %s",
mock.ANY,
mock.ANY,
mock.ANY,
)
mock_write_client.append_rows.assert_not_called()
@pytest.mark.asyncio
async def test_bigquery_insert_error_does_not_raise(
self, bq_plugin_inst, mock_write_client, invocation_context
):
_ = bq_plugin_inst
async def fake_append_rows_with_error(requests, **kwargs):
mock_append_rows_response = mock.MagicMock()
mock_append_rows_response.row_errors = [] # No row errors
mock_append_rows_response.error = mock.MagicMock()
mock_append_rows_response.error.code = 3 # INVALID_ARGUMENT
mock_append_rows_response.error.message = "Test BQ Error"
return _async_gen(mock_append_rows_response)
mock_write_client.append_rows.side_effect = fake_append_rows_with_error
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.logger"
) as mock_logger:
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
await bq_plugin_inst.flush()
# The logger is called multiple times, check that one of them is the error message
# Or just check that it was called with the expected message at some point
mock_logger.error.assert_any_call(
"Non-retryable BigQuery error: %s", "Test BQ Error"
)
mock_write_client.append_rows.assert_called_once()
@pytest.mark.asyncio
async def test_bigquery_insert_retryable_error(
self, bq_plugin_inst, mock_write_client, invocation_context
):
"""Test that retryable BigQuery errors are logged and retried."""
async def fake_append_rows_with_retryable_error(requests, **kwargs):
mock_append_rows_response = mock.MagicMock()
mock_append_rows_response.row_errors = [] # No row errors
mock_append_rows_response.error = mock.MagicMock()
mock_append_rows_response.error.code = 10 # ABORTED (retryable)
mock_append_rows_response.error.message = "Test BQ Retryable Error"
return _async_gen(mock_append_rows_response)
mock_write_client.append_rows.side_effect = (
fake_append_rows_with_retryable_error
)
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.logger"
) as mock_logger:
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
await bq_plugin_inst.flush()
mock_logger.warning.assert_any_call(
"BigQuery Write API returned error code %s: %s",
10,
"Test BQ Retryable Error",
)
# Should be called at least once. Retries are hard to test due to async backoff.
assert mock_write_client.append_rows.call_count >= 1
@pytest.mark.asyncio
async def test_schema_mismatch_error_handling(
self, bq_plugin_inst, mock_write_client, invocation_context
):
async def fake_append_rows_with_schema_error(requests, **kwargs):
mock_resp = mock.MagicMock()
mock_resp.row_errors = []
mock_resp.error = mock.MagicMock()
mock_resp.error.code = 3
mock_resp.error.message = (
"Schema mismatch: Field 'new_field' not found in table."
)
return _async_gen(mock_resp)
mock_write_client.append_rows.side_effect = (
fake_append_rows_with_schema_error
)
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.logger"
) as mock_logger:
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
await bq_plugin_inst.flush()
mock_logger.error.assert_called_with(
"BigQuery Schema Mismatch: %s. This usually means the"
" table schema does not match the expected schema.",
"Schema mismatch: Field 'new_field' not found in table.",
)
@pytest.mark.asyncio
async def test_close(self, bq_plugin_inst, mock_bq_client, mock_write_client):
"""Test plugin shutdown."""
await bq_plugin_inst.shutdown()
# shutdown calls transport.close() on all clients
assert mock_write_client.transport.close.call_count >= 1
# Verify loop states are cleared
assert not bq_plugin_inst._loop_state_by_loop
@pytest.mark.asyncio
async def test_before_run_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Test before_run_callback logs correctly."""
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "INVOCATION_STARTING")
assert log_entry["content"] is None
@pytest.mark.asyncio
async def test_after_run_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "INVOCATION_COMPLETED")
assert log_entry["content"] is None
@pytest.mark.asyncio
async def test_before_agent_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
mock_agent,
callback_context,
dummy_arrow_schema,
):
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "AGENT_STARTING")
assert log_entry["content"] == "Test Instruction"
@pytest.mark.asyncio
async def test_after_agent_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
mock_agent,
callback_context,
dummy_arrow_schema,
):
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.after_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "AGENT_COMPLETED")
assert log_entry["content"] is None
# Latency should be an int >= 0 now that we instrument it
assert log_entry["latency_ms"] is not None
latency_dict = json.loads(log_entry["latency_ms"])
assert latency_dict["total_ms"] >= 0
@pytest.mark.asyncio
async def test_before_model_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[
types.Content(role="user", parts=[types.Part(text="Prompt")])
],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_REQUEST")
assert "Prompt" in log_entry["content"]
@pytest.mark.asyncio
async def test_before_model_callback_with_params_and_tools(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
config=types.GenerateContentConfig(
temperature=0.5,
top_p=0.9,
system_instruction=types.Content(parts=[types.Part(text="Sys")]),
),
contents=[types.Content(role="user", parts=[types.Part(text="User")])],
)
# Manually set tools_dict as it is excluded from init
llm_request.tools_dict = {"tool1": "func1", "tool2": "func2"}
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_REQUEST")
# Verify content is JSON and has correct fields
assert "content" in log_entry
content_dict = json.loads(log_entry["content"])
assert content_dict["prompt"] == [{"role": "user", "content": "User"}]
assert content_dict["system_prompt"] == "Sys"
# Verify attributes
assert "attributes" in log_entry
attributes = json.loads(log_entry["attributes"])
assert attributes["llm_config"]["temperature"] == 0.5
assert attributes["llm_config"]["top_p"] == 0.9
assert attributes["llm_config"]["top_p"] == 0.9
# Tools without a name/description/declaration fall back to just the key.
assert attributes["tools"] == [{"name": "tool1"}, {"name": "tool2"}]
@pytest.mark.asyncio
async def test_before_model_callback_logs_tool_declarations(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""LLM_REQUEST tools carry name, description, and parameter schema."""
class _FakeTool(base_tool_lib.BaseTool):
def __init__(self, name, description, declaration):
super().__init__(name=name, description=description)
self._declaration = declaration
def _get_declaration(self):
return self._declaration
execute_sql = _FakeTool(
name="execute_sql",
description="Run a SQL query against BigQuery.",
declaration=types.FunctionDeclaration(
name="execute_sql",
description="Run a SQL query against BigQuery.",
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"query": types.Schema(
type=types.Type.STRING,
description="The SQL query to run.",
)
},
required=["query"],
),
),
)
# A tool without a declaration still contributes name + description.
list_datasets = _FakeTool(
name="list_dataset_ids",
description="List available datasets.",
declaration=None,
)
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(role="user", parts=[types.Part(text="hi")])],
)
llm_request.tools_dict = {
"execute_sql": execute_sql,
"list_dataset_ids": list_datasets,
}
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_REQUEST")
attributes = json.loads(log_entry["attributes"])
tools_by_name = {t["name"]: t for t in attributes["tools"]}
assert tools_by_name["execute_sql"]["description"] == (
"Run a SQL query against BigQuery."
)
params = tools_by_name["execute_sql"]["parameters"]
assert params["type"] == "OBJECT"
assert params["properties"]["query"]["type"] == "STRING"
assert params["required"] == ["query"]
assert tools_by_name["list_dataset_ids"]["description"] == (
"List available datasets."
)
assert "parameters" not in tools_by_name["list_dataset_ids"]
def test_extract_tool_declarations_declaration_error_is_isolated(self):
"""A tool whose _get_declaration raises still yields name + description."""
class _RaisingTool(base_tool_lib.BaseTool):
def _get_declaration(self):
raise ValueError("boom")
class _OkTool(base_tool_lib.BaseTool):
def _get_declaration(self):
return None
result = bigquery_agent_analytics_plugin._extract_tool_declarations({
"raiser": _RaisingTool(name="raiser", description="Raises."),
"ok": _OkTool(name="ok", description="Fine."),
})
by_name = {t["name"]: t for t in result}
# The raising tool is not dropped; other tools are unaffected.
assert by_name["raiser"] == {"name": "raiser", "description": "Raises."}
assert by_name["ok"] == {"name": "ok", "description": "Fine."}
def test_extract_tool_declarations_parameters_serialization_error(self):
"""A parameters object that fails to serialize is dropped, not fatal."""
class _BadParams:
def model_dump(self, *args, **kwargs):
raise ValueError("cannot serialize")
class _BadDecl:
description = None
parameters = _BadParams()
class _BadParamTool(base_tool_lib.BaseTool):
def _get_declaration(self):
return _BadDecl()
result = bigquery_agent_analytics_plugin._extract_tool_declarations(
{"bad_params": _BadParamTool(name="bad_params", description="Bad.")}
)
# Name + description survive; the unserializable parameters key is omitted.
assert result == [{"name": "bad_params", "description": "Bad."}]
def test_extract_tool_declarations_uses_parameters_json_schema(self):
"""Declarations exposing parameters_json_schema log that raw schema."""
json_schema = {
"type": "object",
"properties": {"path": {"type": "string"}},
"required": ["path"],
}
class _JsonSchemaTool(base_tool_lib.BaseTool):
def _get_declaration(self):
return types.FunctionDeclaration(
name="read_file",
description="Read a file.",
parameters_json_schema=json_schema,
)
result = bigquery_agent_analytics_plugin._extract_tool_declarations(
{"read_file": _JsonSchemaTool(name="read_file", description="Read.")}
)
# parameters_json_schema is logged verbatim (preferred over `parameters`).
assert result == [{
"name": "read_file",
"description": "Read.",
"parameters": json_schema,
}]
@pytest.mark.asyncio
async def test_before_model_callback_with_full_config(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Test that all config fields, including falsy values and labels, are logged."""
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
config=types.GenerateContentConfig(
temperature=0.0,
top_p=0.1,
top_k=5.0,
candidate_count=5,
max_output_tokens=65000,
stop_sequences=["STOP"],
presence_penalty=0.1,
frequency_penalty=0.5,
seed=42,
response_logprobs=True,
logprobs=3,
labels={"llm.agent.name": "test_agent"},
),
contents=[types.Content(role="user", parts=[types.Part(text="User")])],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_REQUEST")
# Verify attributes
assert "attributes" in log_entry
attributes = json.loads(log_entry["attributes"])
llm_config = attributes.get("llm_config", {})
expected_llm_config = {
"temperature": 0.0,
"top_p": 0.1,
"top_k": 5.0,
"candidate_count": 5,
"max_output_tokens": 65000,
"stop_sequences": ["STOP"],
"presence_penalty": 0.1,
"frequency_penalty": 0.5,
"seed": 42,
"response_logprobs": True,
"logprobs": 3,
}
assert llm_config == expected_llm_config
assert attributes.get("labels") == {"llm.agent.name": "test_agent"}
@pytest.mark.asyncio
async def test_before_model_callback_multipart_separator(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[
types.Content(
role="user",
parts=[types.Part(text="Part1"), types.Part(text="Part2")],
)
],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
content_dict = json.loads(log_entry["content"])
# Verify the separator is " | "
assert content_dict["prompt"][0]["content"] == "Part1 | Part2"
@pytest.mark.asyncio
async def test_after_model_callback_text_response(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="Model response")]),
usage_metadata=types.UsageMetadata(
prompt_token_count=10, total_token_count=15
),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context,
llm_response=llm_response,
# latency_ms is now calculated internally via TraceManager
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_RESPONSE")
content_dict = json.loads(log_entry["content"])
assert content_dict["response"] == "text: 'Model response'"
assert content_dict["usage"]["prompt"] == 10
assert content_dict["usage"]["total"] == 15
assert log_entry["error_message"] is None
latency_dict = json.loads(log_entry["latency_ms"])
# Latency comes from time.time(), so we can't assert exact 100ms
# But it should be present
assert latency_dict["total_ms"] >= 0
# tfft is passed via kwargs if present, or we can mock it.
# In this test we didn't pass it in kwargs in the updated call above, so it might be missing unless we add it back to kwargs.
# The original test passed it as kwarg.
@pytest.mark.asyncio
@pytest.mark.parametrize(
"finish_reason",
[
types.FinishReason.STOP,
types.FinishReason.MAX_TOKENS,
types.FinishReason.SAFETY,
types.FinishReason.MALFORMED_FUNCTION_CALL,
],
)
async def test_after_model_callback_projects_finish_reason(
self,
finish_reason,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""LLM termination reasons are queryable in response attributes."""
response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="response")]),
finish_reason=finish_reason,
)
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=response
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert json.loads(row["attributes"])["finish_reason"] == finish_reason.name
@pytest.mark.asyncio
async def test_streaming_partial_omits_missing_finish_reason(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Streaming chunks without a termination reason omit the JSON key."""
response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="chunk")]), partial=True
)
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=response
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert "finish_reason" not in json.loads(row["attributes"])
@pytest.mark.asyncio
async def test_streaming_terminal_metadata_is_logged_only_on_final_response(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""A streamed turn contributes one finish reason and diagnostic row."""
aggregator = streaming_utils.StreamingResponseAggregator()
terminal_chunk = types.GenerateContentResponse(
candidates=[
types.Candidate(
finish_reason=types.FinishReason.MAX_TOKENS,
finish_message="token limit reached",
)
]
)
responses = [
response
async for response in aggregator.process_response(terminal_chunk)
]
responses.append(aggregator.close())
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
for response in responses:
await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=response
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
assert len(rows) == 2
assert "finish_reason" not in json.loads(rows[0]["attributes"])
assert rows[0]["error_message"] is None
assert json.loads(rows[1]["attributes"])["finish_reason"] == "MAX_TOKENS"
assert rows[1]["error_message"] == "token limit reached"
@pytest.mark.asyncio
async def test_after_model_callback_accepts_string_finish_reason(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Response-like objects with string finish reasons still produce a row."""
response = llm_response_lib.LlmResponse.model_construct(
finish_reason="CUSTOM_REASON"
)
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=response
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert json.loads(row["attributes"])["finish_reason"] == "CUSTOM_REASON"
@pytest.mark.asyncio
async def test_after_model_callback_sanitizes_error_message_without_error_status(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Response diagnostics use the safe error column without changing status."""
response = llm_response_lib.LlmResponse(
error_message="Authorization: Bearer MODEL-SECRET",
finish_reason=types.FinishReason.SAFETY,
)
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=response
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert row["error_message"] == "Authorization: [REDACTED]"
assert row["status"] == "OK"
assert row["is_truncated"] is True
assert "MODEL-SECRET" not in json.dumps(row, default=str)
@pytest.mark.asyncio
async def test_after_model_callback_tool_call(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
tool_fc = types.FunctionCall(name="get_weather", args={"location": "Paris"})
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(function_call=tool_fc)]),
usage_metadata=types.UsageMetadata(
prompt_token_count=10, total_token_count=15
),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context,
llm_response=llm_response,
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_RESPONSE")
content_dict = json.loads(log_entry["content"])
assert content_dict["response"] == "call: get_weather"
assert content_dict["usage"]["prompt"] == 10
assert content_dict["usage"]["total"] == 15
assert log_entry["error_message"] is None
@pytest.mark.asyncio
async def test_before_tool_callback_logs_correctly(
self, bq_plugin_inst, mock_write_client, tool_context, dummy_arrow_schema
):
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
type(mock_tool).description = mock.PropertyMock(return_value="Description")
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await bq_plugin_inst.before_tool_callback(
tool=mock_tool, tool_args={"param": "value"}, tool_context=tool_context
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_STARTING")
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["args"] == {"param": "value"}
@pytest.mark.asyncio
async def test_after_tool_callback_logs_correctly(
self, bq_plugin_inst, mock_write_client, tool_context, dummy_arrow_schema
):
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
type(mock_tool).description = mock.PropertyMock(return_value="Description")
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await bq_plugin_inst.after_tool_callback(
tool=mock_tool,
tool_args={"arg1": "val1"},
tool_context=tool_context,
result={"res": "success"},
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_COMPLETED")
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["result"] == {"res": "success"}
@pytest.mark.asyncio
async def test_after_tool_callback_no_state_delta_logging(
self, bq_plugin_inst, mock_write_client, tool_context, dummy_arrow_schema
):
"""State deltas are now logged via on_event_callback, not after_tool."""
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="StateTool")
type(mock_tool).description = mock.PropertyMock(return_value="Sets state")
# Simulate a tool modifying the state
tool_context.actions.state_delta["new_key"] = "new_value"
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await bq_plugin_inst.after_tool_callback(
tool=mock_tool,
tool_args={"arg1": "val1"},
tool_context=tool_context,
result={"res": "success"},
)
await bq_plugin_inst.flush()
# Only TOOL_COMPLETED should be logged; STATE_DELTA is handled
# by on_event_callback now.
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
assert len(rows) == 1
assert rows[0]["event_type"] == "TOOL_COMPLETED"
@pytest.mark.asyncio
async def test_on_event_callback_logs_state_delta(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""on_event_callback logs STATE_DELTA for events with state changes."""
state_delta = {"key": "value", "new_key": 123}
event = event_lib.Event(
author="test_agent",
actions=event_actions_lib.EventActions(state_delta=state_delta),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
# Must return None to not modify the event
assert result is None
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "STATE_DELTA")
assert log_entry["content"] is None
attributes = json.loads(log_entry["attributes"])
assert attributes["state_delta"] == state_delta
@pytest.mark.asyncio
async def test_on_event_callback_ignores_empty_state_delta(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""on_event_callback should not log when state_delta is empty."""
event = event_lib.Event(
author="test_agent",
actions=event_actions_lib.EventActions(state_delta={}),
)
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
assert result is None
# No events should have been logged
mock_write_client.append_rows.assert_not_called()
@pytest.mark.asyncio
async def test_log_event_with_session_metadata(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Test that session metadata is logged when enabled."""
# Setup session state with user metadata
session = callback_context._invocation_context.session
type(session).state = mock.PropertyMock(
return_value={"thread_id": "gchat-123", "customer_id": "cust-42"}
)
# Ensure config enabled (default is True)
bq_plugin_inst.config.log_session_metadata = True
await bq_plugin_inst._log_event(
"TEST_EVENT",
callback_context,
raw_content="test content",
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attributes = json.loads(log_entry["attributes"])
meta = attributes["session_metadata"]
assert meta["session_id"] == session.id
assert meta["app_name"] == session.app_name
assert meta["user_id"] == session.user_id
assert meta["state"] == {
"thread_id": "gchat-123",
"customer_id": "cust-42",
}
@pytest.mark.asyncio
async def test_log_event_with_custom_tags(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Test that custom tags are logged."""
custom_tags = {"agent_role": "sales", "env": "prod"}
bq_plugin_inst.config.custom_tags = custom_tags
await bq_plugin_inst._log_event(
"TEST_EVENT",
callback_context,
raw_content="test content",
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attributes = json.loads(log_entry["attributes"])
assert attributes["custom_tags"] == custom_tags
def test_resolve_agent_label_prefers_running_agent(self, callback_context):
"""agent present → agent.name, regardless of any source event."""
event = event_lib.Event(author="WorkflowNodeA")
label = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._resolve_agent_label(
callback_context, event
)
assert label == "MyTestAgent"
def test_resolve_agent_label_falls_back_to_event_author(
self, callback_context
):
"""No agent + source Event → Event.author (the emitting node)."""
callback_context._invocation_context.agent = None
event = event_lib.Event(author="WorkflowNodeA")
label = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._resolve_agent_label(
callback_context, event
)
assert label == "WorkflowNodeA"
def test_resolve_agent_label_null_for_callback_only_row(
self, callback_context
):
"""No agent and no source Event → None (SQL NULL)."""
callback_context._invocation_context.agent = None
label = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._resolve_agent_label(
callback_context, None
)
assert label is None
@pytest.mark.asyncio
async def test_log_event_survives_none_agent_with_event_author(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Regression: None agent falls back to source event author."""
# Workflow-driven invocations leave ``InvocationContext.agent`` as None.
# Reading ``callback_context.agent_name`` then raised ``AttributeError``,
# which ``@_safe_callback`` swallowed, silently dropping the BigQuery row.
# The row must now be written with the source Event's author as the label.
callback_context._invocation_context.agent = None
event = event_lib.Event(author="WorkflowNodeA")
await bq_plugin_inst._log_event(
"TEST_EVENT",
callback_context,
raw_content="test content",
event_data=bigquery_agent_analytics_plugin.EventData(
source_event=event
),
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry["event_type"] == "TEST_EVENT"
assert log_entry["agent"] == "WorkflowNodeA"
@pytest.mark.asyncio
async def test_log_event_survives_none_agent_without_source_event(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Regression: callback-only row with no agent writes null."""
callback_context._invocation_context.agent = None
await bq_plugin_inst._log_event(
"TEST_EVENT",
callback_context,
raw_content="test content",
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry["event_type"] == "TEST_EVENT"
assert log_entry["agent"] is None
@pytest.mark.asyncio
async def test_on_model_error_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Prompt")])],
)
error = ValueError("LLM failed")
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.on_model_error_callback(
callback_context=callback_context, llm_request=llm_request, error=error
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "LLM_ERROR")
assert log_entry["content"] is None
assert log_entry["error_message"] == "LLM failed"
assert log_entry["status"] == "ERROR"
@pytest.mark.asyncio
async def test_on_tool_error_callback_logs_correctly(
self, bq_plugin_inst, mock_write_client, tool_context, dummy_arrow_schema
):
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
type(mock_tool).description = mock.PropertyMock(return_value="Description")
error = TimeoutError("Tool timed out")
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_context)
await bq_plugin_inst.on_tool_error_callback(
tool=mock_tool,
tool_args={"param": "value"},
tool_context=tool_context,
error=error,
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "TOOL_ERROR")
content_dict = json.loads(log_entry["content"])
assert content_dict["tool"] == "MyTool"
assert content_dict["args"] == {"param": "value"}
assert log_entry["error_message"] == "Tool timed out"
assert log_entry["status"] == "ERROR"
@pytest.mark.asyncio
async def test_on_agent_error_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""on_agent_error_callback emits AGENT_ERROR with traceback."""
error = RuntimeError("Agent crashed")
try:
raise error
except RuntimeError:
pass # populate __traceback__
pushed_span_id = bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "agent"
)
await bq_plugin_inst.on_agent_error_callback(
agent=mock_agent,
callback_context=callback_context,
error=error,
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
log_entry = next(r for r in rows if r["event_type"] == "AGENT_ERROR")
assert log_entry["error_message"] == "Agent crashed"
assert log_entry["status"] == "ERROR"
# The agent span BQAA pushed is popped and attributed to the error row.
assert log_entry["span_id"] == pushed_span_id
content = json.loads(log_entry["content"])
assert "error_traceback" in content
assert "RuntimeError: Agent crashed" in content["error_traceback"]
@pytest.mark.asyncio
async def test_on_agent_error_does_not_pop_foreign_invocation_span(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""on_agent_error must not pop a span BQAA did not push for this agent.
Simulates another plugin's before_agent_callback raising before BQAA's
own before_agent_callback ran: the stack holds only the invocation root.
The guarded pop must leave the invocation span in place so the
subsequent INVOCATION_ERROR keeps correct span/latency data.
"""
trace_manager = bigquery_agent_analytics_plugin.TraceManager
inv_span_id = trace_manager.push_span(callback_context, "invocation")
error = RuntimeError("other plugin's before_agent failed")
try:
raise error
except RuntimeError:
pass
await bq_plugin_inst.on_agent_error_callback(
agent=mock_agent,
callback_context=callback_context,
error=error,
)
await bq_plugin_inst.flush()
# The invocation root was NOT consumed by the agent-error pop.
assert trace_manager.get_current_span_id() == inv_span_id
# The AGENT_ERROR row is still emitted.
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
log_entry = next(r for r in rows if r["event_type"] == "AGENT_ERROR")
assert log_entry["error_message"] == "other plugin's before_agent failed"
@pytest.mark.asyncio
async def test_on_run_error_callback_logs_correctly(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""on_run_error_callback emits INVOCATION_ERROR with traceback."""
error = ValueError("Invocation failed")
try:
raise error
except ValueError:
pass
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context, "invocation"
)
await bq_plugin_inst.on_run_error_callback(
invocation_context=invocation_context,
error=error,
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
log_entry = next(r for r in rows if r["event_type"] == "INVOCATION_ERROR")
assert log_entry["error_message"] == "Invocation failed"
assert log_entry["status"] == "ERROR"
content = json.loads(log_entry["content"])
assert "error_traceback" in content
assert "ValueError: Invocation failed" in content["error_traceback"]
@pytest.mark.asyncio
async def test_on_run_error_callback_cleanup_runs_on_log_failure(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""on_run_error_callback cleans up even when _log_event raises."""
# Push spans and set context vars to simulate active invocation
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set("test-inv")
bigquery_agent_analytics_plugin._root_agent_name_ctx.set("test-agent")
# Make _log_event raise
with mock.patch.object(
bq_plugin_inst, "_log_event", side_effect=RuntimeError("boom")
):
# @_safe_callback swallows the exception
await bq_plugin_inst.on_run_error_callback(
invocation_context=invocation_context,
error=ValueError("app error"),
)
# finally block must have cleaned up
assert (
bigquery_agent_analytics_plugin._active_invocation_id_ctx.get(None)
is None
)
assert (
bigquery_agent_analytics_plugin._root_agent_name_ctx.get(None) is None
)
@pytest.mark.asyncio
async def test_traceback_not_truncated_with_negative_max_len(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
invocation_context,
mock_agent,
dummy_arrow_schema,
):
"""Traceback is not truncated when max_content_length is -1."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=-1,
create_views=False,
)
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
) as plugin:
await plugin._ensure_started()
error = RuntimeError("x" * 2000)
try:
raise error
except RuntimeError:
pass
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.on_agent_error_callback(
agent=mock_agent,
callback_context=bigquery_agent_analytics_plugin.CallbackContext(
invocation_context
),
error=error,
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
log_entry = next(r for r in rows if r["event_type"] == "AGENT_ERROR")
content = json.loads(log_entry["content"])
# Should NOT be truncated
assert "[truncated]" not in content["error_traceback"]
assert "x" * 2000 in content["error_traceback"]
@pytest.mark.asyncio
async def test_table_creation_options(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
mock_bq_client.get_table.side_effect = cloud_exceptions.NotFound(
"Not found"
)
await plugin._ensure_started()
# Verify create_table was called with correct table options
mock_bq_client.create_table.assert_called_once()
call_args = mock_bq_client.create_table.call_args
table_arg = call_args[0][0]
assert isinstance(table_arg, bigquery.Table)
assert table_arg.time_partitioning.type_ == "DAY"
assert table_arg.time_partitioning.field == "timestamp"
assert table_arg.clustering_fields == ["event_type", "agent", "user_id"]
# Verify schema descriptions are present (spot check)
timestamp_field = next(
f for f in table_arg.schema if f.name == "timestamp"
)
assert (
timestamp_field.description
== "The UTC timestamp when the event occurred. Used for ordering"
" events"
" within a session."
)
@pytest.mark.asyncio
async def test_init_in_thread_pool(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
invocation_context,
):
"""Verifies that the plugin can be initialized from a thread pool."""
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
def _run_in_thread(p):
# In a real thread pool, there might not be an event loop.
# However, since we are calling an async method (_ensure_started),
# we must run it in an event loop. The issue was that _lazy_setup
# called get_event_loop() which fails in threads without a loop.
# Here we simulate the condition by running in a thread and creating a new loop if needed,
# but the key is that the plugin's internal calls should use the correct loop.
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
try:
# _ensure_started is called by managed_plugin, but we need to ensure
# that if it were called in a thread, it would work.
# For this test, we just ensure the plugin is accessible and started.
loop.run_until_complete(p._ensure_started())
return p._started, bool(p._loop_state_by_loop)
finally:
try:
loop.run_until_complete(p.shutdown())
finally:
loop.close()
# Run in a separate thread to simulate ThreadPoolExecutor-0_0
from concurrent.futures import ThreadPoolExecutor
with ThreadPoolExecutor(max_workers=1) as executor:
future = executor.submit(_run_in_thread, plugin)
started, had_loop_state = future.result()
assert started
assert had_loop_state
assert not plugin._loop_state_by_loop
@pytest.mark.asyncio
async def test_multimodal_offloading(
self,
mock_write_client,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_storage_client,
):
# Setup
bucket_name = "test-bucket"
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
gcs_bucket_name=bucket_name
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started(
storage_client=mock_storage_client.return_value
)
# Mock GCS bucket and blob
mock_bucket = mock_storage_client.return_value.bucket.return_value
mock_bucket.name = bucket_name
mock_blob = mock_bucket.blob.return_value
# Create content with large text that should be offloaded
large_text = "A" * (32 * 1024 + 1)
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text=large_text)])],
)
# Execute
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
# Use flush instead of sleep for robustness
await plugin.flush()
# Verify GCS upload
mock_blob.upload_from_string.assert_called_once()
args, kwargs = mock_blob.upload_from_string.call_args
assert args[0] == large_text
assert kwargs["content_type"] == "text/plain"
# Verify BQ write
mock_write_client.append_rows.assert_called_once()
event_dict = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
content_parts = event_dict["content_parts"]
assert len(content_parts) == 1
assert content_parts[0]["storage_mode"] == "GCS_REFERENCE"
assert content_parts[0]["uri"].startswith(f"gs://{bucket_name}/")
@pytest.mark.asyncio
async def test_quota_project_id_used_in_client(
self,
mock_bq_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
mock_creds = mock.create_autospec(
google.auth.credentials.Credentials, instance=True, spec_set=True
)
mock_creds.quota_project_id = "quota-project"
with mock.patch.object(
google.auth,
"default",
autospec=True,
return_value=(mock_creds, PROJECT_ID),
) as mock_auth_default:
with mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
autospec=True,
) as mock_bq_write_cls:
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
) as plugin:
await plugin._ensure_started()
mock_auth_default.assert_called_once()
mock_bq_write_cls.assert_called_once()
_, kwargs = mock_bq_write_cls.call_args
assert kwargs["client_options"].quota_project_id == "quota-project"
@pytest.mark.asyncio
async def test_no_quota_project_when_creds_lack_it(
self,
mock_bq_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""Verify no quota_project_id is set when credentials don't provide one.
This is critical for Workload Identity Federation flows where setting
quota_project_id on the client breaks auth token refresh.
"""
mock_creds = mock.create_autospec(
google.auth.credentials.Credentials, instance=True, spec_set=True
)
mock_creds.quota_project_id = None
with mock.patch.object(
google.auth,
"default",
autospec=True,
return_value=(mock_creds, PROJECT_ID),
):
with mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
autospec=True,
) as mock_bq_write_cls:
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
) as plugin:
await plugin._ensure_started()
mock_bq_write_cls.assert_called_once()
_, kwargs = mock_bq_write_cls.call_args
assert kwargs["client_options"] is None
@pytest.mark.asyncio
async def test_custom_credentials_used(
self,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""Verify custom credentials are used and default auth is not called."""
mock_custom_creds = mock.create_autospec(
google.auth.credentials.Credentials, instance=True, spec_set=True
)
mock_custom_creds.quota_project_id = "custom-quota-project"
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
gcs_bucket_name="test-bucket",
create_views=False,
)
with mock.patch.object(
google.auth,
"default",
autospec=True,
) as mock_auth_default:
with mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
autospec=True,
) as mock_bq_write_cls:
with mock.patch(
"google.cloud.bigquery.Client", autospec=True
) as mock_bq_cls:
with mock.patch(
"google.cloud.storage.Client", autospec=True
) as mock_storage_cls:
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
credentials=mock_custom_creds,
config=config,
) as plugin:
await plugin._ensure_started()
mock_auth_default.assert_not_called()
mock_bq_write_cls.assert_called_once()
_, kwargs = mock_bq_write_cls.call_args
assert kwargs["credentials"] == mock_custom_creds
mock_bq_cls.assert_called_once()
_, kwargs = mock_bq_cls.call_args
assert kwargs["credentials"] == mock_custom_creds
mock_storage_cls.assert_called_once()
_, kwargs = mock_storage_cls.call_args
assert kwargs["credentials"] == mock_custom_creds
@pytest.mark.asyncio
async def test_pickle_safety(self, mock_auth_default, mock_bq_client):
"""Test that the plugin can be pickled safely."""
import pickle
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(enabled=True)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
# Test pickling before start
pickled = pickle.dumps(plugin)
unpickled = pickle.loads(pickled)
assert unpickled.project_id == PROJECT_ID
assert unpickled._setup_future is None
assert unpickled._executor is None
# Start the plugin
await plugin._ensure_started()
assert plugin._executor is not None
try:
# Test pickling after start
pickled_started = pickle.dumps(plugin)
unpickled_started = pickle.loads(pickled_started)
assert unpickled_started.project_id == PROJECT_ID
# Runtime objects should be None after unpickling
assert unpickled_started._setup_future is None
assert unpickled_started._executor is None
assert not unpickled_started._loop_state_by_loop
finally:
await plugin.shutdown()
@pytest.mark.asyncio
async def test_span_hierarchy_llm_call(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Verifies that LLM events have correct Span ID hierarchy."""
# 1. Start Agent Span
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
_, _ = (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_and_parent()
)
agent_span_id = (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_id()
)
# 2. Start LLM Span (Implicitly handled if we push it?
# Actually before_model_callback assumes a span is pushed for the LLM call if we want one?
# No, usually the Runner/Agent pushes a span BEFORE calling before_model_callback?
# Let's verify usage in agent.py or plugin.
# Plugin does NOT push spans automatically for LLM. It relies on TraceManager being managed externally
# OR it uses current span.
# Wait, the Runner pushes spans.
# 3. LLM Request
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Prompt")])],
)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
# Capture the actual LLM Span ID (pushed by before_model_callback)
llm_span_id = (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_id()
)
# Now that we push a new span for LLM calls, it should differ from agent_span_id
assert llm_span_id != agent_span_id
log_entry_req = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry_req["event_type"] == "LLM_REQUEST"
assert log_entry_req["span_id"] == llm_span_id
# The parent of the LLM span should be the Agent span
assert log_entry_req["parent_span_id"] == agent_span_id
mock_write_client.append_rows.reset_mock()
# 4. LLM Response
# In the actual flow, after_model_callback pops the span.
# But explicitly via TraceManager.pop_span()?
# No, after_model_callback calls TraceManager.pop_span().
# So we should validly call it.
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="Response")]),
)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=llm_response
)
await bq_plugin_inst.flush()
log_entry_resp = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry_resp["event_type"] == "LLM_RESPONSE"
assert log_entry_resp["span_id"] == llm_span_id
# The parent of the LLM span should be the Agent span
assert log_entry_resp["parent_span_id"] == agent_span_id
# Verify LLM Span was popped and we are back to Agent Span
assert (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_id()
== agent_span_id
)
# Clean up Agent Span
bigquery_agent_analytics_plugin.TraceManager.pop_span()
assert (
not bigquery_agent_analytics_plugin.TraceManager.get_current_span_id()
)
@pytest.mark.asyncio
async def test_custom_object_serialization(
self,
mock_write_client,
tool_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Verifies that custom objects (Dataclasses) are serialized to dicts."""
_ = mock_auth_default
_ = mock_bq_client
@dataclasses.dataclass
class LocalMissedKPI:
kpi: str
value: float
@dataclasses.dataclass
class LocalIncident:
id: str
kpi_missed: list[LocalMissedKPI]
status: str
incident = LocalIncident(
id="inc-123",
kpi_missed=[LocalMissedKPI(kpi="latency", value=99.9)],
status="active",
)
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
content = {"result": incident}
# Verify full flow
await plugin._log_event(
"TOOL_PARTIAL",
tool_context,
raw_content=content,
)
await plugin.flush()
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
# Content should be valid JSON string
content_json = json.loads(log_entry["content"])
assert content_json["result"]["id"] == "inc-123"
assert content_json["result"]["kpi_missed"][0]["kpi"] == "latency"
@pytest.mark.asyncio
async def test_push_pop_does_not_export_spans_through_real_provider(
self, callback_context
):
"""End-to-end guard against duplicate Cloud Trace spans with a real OTel
provider + in-memory exporter.
Wires an ``InMemorySpanExporter`` to a real ``TracerProvider``,
drives a push/pop cycle through ``TraceManager``, and asserts
that **zero** spans were exported. Pre-fix behavior was to
export one span per push/pop pair — visible to Cloud Trace as
duplicate spans alongside the framework's real ones.
"""
# pylint: disable=g-import-not-at-top
from opentelemetry.sdk import trace as trace_sdk
from opentelemetry.sdk.trace import export as trace_export
from opentelemetry.sdk.trace.export import in_memory_span_exporter
# pylint: enable=g-import-not-at-top
provider = trace_sdk.TracerProvider()
exporter = in_memory_span_exporter.InMemorySpanExporter()
provider.add_span_processor(trace_export.SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test_tracer")
span_id = bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "test_span"
)
assert exporter.get_finished_spans() == ()
trace_id = bigquery_agent_analytics_plugin.TraceManager.get_trace_id(
callback_context
)
assert trace_id is not None and len(trace_id) == 32
popped_span_id, _ = bigquery_agent_analytics_plugin.TraceManager.pop_span()
assert popped_span_id == span_id
assert exporter.get_finished_spans() == (), (
"Plugin must not export OTel spans; any owned span would"
" surface as a duplicate in Cloud Trace alongside the"
" framework's real spans."
)
provider.shutdown()
@pytest.mark.asyncio
async def test_push_span_inherits_ambient_trace_id(self, callback_context):
"""When the host has an ambient OTel span (e.g.
Agent Engine's Runner span), the plugin's ``trace_id`` MUST inherit from it
so BigQuery rows correlate with the host's Cloud Trace entries via a shared
``trace_id``.
"""
# pylint: disable=g-import-not-at-top
from opentelemetry import trace as otel_trace
from opentelemetry.sdk import trace as trace_sdk
# pylint: enable=g-import-not-at-top
provider = trace_sdk.TracerProvider()
host_tracer = provider.get_tracer("host_tracer")
# Clear any state on the plugin's contextvar stack.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
with host_tracer.start_as_current_span("ambient-host-span") as host_span:
expected_trace_id = format(host_span.get_span_context().trace_id, "032x")
# Plugin pushes its first internal span inside the ambient span.
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "bqaa-span"
)
plugin_trace_id = (
bigquery_agent_analytics_plugin.TraceManager.get_trace_id(
callback_context
)
)
assert plugin_trace_id == expected_trace_id, (
"Plugin must inherit ambient trace_id so BigQuery rows join"
" to Cloud Trace via the same trace_id"
)
# Nested plugin push also stays under the ambient trace_id.
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "bqaa-nested"
)
assert (
bigquery_agent_analytics_plugin.TraceManager.get_trace_id(
callback_context
)
== expected_trace_id
)
bigquery_agent_analytics_plugin.TraceManager.clear_stack()
provider.shutdown()
del otel_trace # unused; imported for symmetry with provider setup
@pytest.mark.asyncio
async def test_llm_request_response_share_span_id_contract(
self, callback_context
):
"""Lifecycle contract: ``LLM_REQUEST`` and ``LLM_RESPONSE`` for the
same model call share one ``span_id`` and one ``trace_id``.
Models the structural pattern the real callbacks use:
* ``before_model_callback`` calls ``push_span(...)`` and writes
``LLM_REQUEST`` with the returned ``span_id``.
* ``after_model_callback`` calls ``get_current_span_id()`` /
``pop_span()`` and writes ``LLM_RESPONSE`` with the same
``span_id``.
A future change must not split this pair onto two different
``span_id``s — that would break the documented BigQuery query
shape and the BQAA join contract.
"""
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
TM = bigquery_agent_analytics_plugin.TraceManager
# before_model_callback path.
pushed_span_id = TM.push_span(callback_context, "llm_request")
request_trace_id = TM.get_trace_id(callback_context)
# after_model_callback (final chunk) path.
response_top_of_stack = TM.get_current_span_id()
popped_span_id, _duration_ms = TM.pop_span()
response_trace_id = TM.get_trace_id(callback_context)
assert response_top_of_stack == pushed_span_id
assert popped_span_id == pushed_span_id
# trace_id resolved on the response side may have to fall back
# past the now-empty stack — but if it does resolve, it must
# match what the request observed. An empty-stack fallback to
# invocation_id is acceptable here; what we are guarding against
# is the *pair* drifting onto two structurally different ids.
if response_trace_id is not None and len(response_trace_id) == 32:
assert response_trace_id == request_trace_id
@pytest.mark.asyncio
async def test_tool_starting_completed_share_span_id_contract(
self, callback_context
):
"""Lifecycle contract: ``TOOL_STARTING`` and ``TOOL_COMPLETED`` for
the same tool call share one ``span_id``.
Same shape as the LLM pair above — push on before, pop on after,
same id on both sides.
"""
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
TM = bigquery_agent_analytics_plugin.TraceManager
# before_tool_callback path.
pushed_span_id = TM.push_span(callback_context, "tool")
starting_trace_id = TM.get_trace_id(callback_context)
# after_tool_callback path.
popped_span_id, _duration_ms = TM.pop_span()
assert popped_span_id == pushed_span_id
assert isinstance(starting_trace_id, str) and len(starting_trace_id) == 32
@pytest.mark.asyncio
async def test_streaming_llm_response_shares_span_id_until_final_contract(
self, callback_context
):
"""Streaming-response contract.
On a streaming LLM call, ``after_model_callback`` is fired once
per partial chunk *plus* once for the final chunk. Partial fires
do NOT pop the span (see ``after_model_callback:3354-3363``) —
they only read ``get_current_span_id()`` and record first-token
timing. Only the final fire calls ``pop_span()``.
All resulting ``LLM_RESPONSE`` rows therefore share one
``span_id`` (the same as the paired ``LLM_REQUEST``). A future
change must not "dedupe" the partial rows by switching to a fresh
span id per chunk — those rows are real and intentional.
"""
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
TM = bigquery_agent_analytics_plugin.TraceManager
pushed_span_id = TM.push_span(callback_context, "llm_request")
# Simulate three partial chunks: each callback observes the same
# span_id at top of stack and does NOT pop.
for _ in range(3):
assert TM.get_current_span_id() == pushed_span_id
# Final chunk: pop_span returns the same id and a populated
# latency.
popped_span_id, duration_ms = TM.pop_span()
assert popped_span_id == pushed_span_id
assert duration_ms is not None and duration_ms >= 0
# Stack must be empty after the final chunk.
assert TM.get_current_span_id() is None
@pytest.mark.asyncio
async def test_keyword_identifiers_emission_default(
self,
mock_auth_default,
mock_bq_client,
callback_context,
):
"""Verify the default keyword flow for User-Agent and Trace-ID."""
keyword = "google-adk-bq-logger"
mock_write_client = mock.AsyncMock()
# 1. Verify User-Agent contains default keyword.
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.BigQueryWriteAsyncClient",
autospec=True,
) as mock_write_cls:
mock_write_cls.return_value = mock_write_client
async with managed_plugin(PROJECT_ID, DATASET_ID) as plugin:
await plugin._ensure_started()
_, kwargs = mock_write_cls.call_args
client_info = kwargs.get("client_info")
assert f"{keyword}/{__version__}" in client_info.user_agent
# 2. Verify Trace ID contains default keyword.
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.BigQueryWriteAsyncClient",
autospec=True,
) as mock_write_cls:
mock_write_cls.return_value = mock_write_client
async with managed_plugin(PROJECT_ID, DATASET_ID) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Hi")])],
)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
call_args = mock_write_client.append_rows.call_args
requests_iter = call_args.args[0]
requests = []
async for req in requests_iter:
requests.append(req)
assert requests[0].trace_id.startswith(keyword)
assert requests[0].trace_id.endswith(f"/{__version__}")
@pytest.mark.asyncio
async def test_visual_builder_identifiers_flow(
self,
mock_auth_default,
mock_bq_client,
callback_context,
dummy_arrow_schema,
):
"""Verify visual-builder keyword flow via contextvars."""
keyword = "google-adk-visual-builder"
mock_write_client = mock.AsyncMock()
# Simulate setting the internal flag via contextvars
token = _is_visual_builder.set(True)
try:
# 1. Verify Client User-Agent
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.BigQueryWriteAsyncClient",
autospec=True,
) as mock_write_cls:
mock_write_cls.return_value = mock_write_client
async with managed_plugin(PROJECT_ID, DATASET_ID) as plugin:
await plugin._ensure_started()
_, kwargs = mock_write_cls.call_args
client_info = kwargs.get("client_info")
assert keyword in client_info.user_agent
# 2. Verify Request Trace ID
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.BigQueryWriteAsyncClient",
autospec=True,
) as mock_write_cls:
mock_write_cls.return_value = mock_write_client
async with managed_plugin(PROJECT_ID, DATASET_ID) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Hi")])],
)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
call_args = mock_write_client.append_rows.call_args
requests_iter = call_args.args[0]
requests = []
async for req in requests_iter:
requests.append(req)
assert requests[0].trace_id.startswith(
"google-adk-bq-logger-visual-builder"
)
assert requests[0].trace_id.endswith(f"/{__version__}")
finally:
_is_visual_builder.reset(token)
@pytest.mark.asyncio
async def test_flush_mechanism(
self,
bq_plugin_inst,
mock_write_client,
dummy_arrow_schema,
invocation_context,
):
"""Verifies that flush() forces pending events to be written."""
# Log an event
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
# Call flush - this should block until the event is written
await bq_plugin_inst.flush()
# Verify write called
mock_write_client.append_rows.assert_called_once()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry["event_type"] == "INVOCATION_STARTING"
@pytest.mark.asyncio
@pytest.mark.parametrize(
"gen_config_kwargs, expected_llm_config",
[
(
{
"temperature": 0.0,
"top_k": 5.0,
"top_p": 0.1,
"candidate_count": 5,
"max_output_tokens": 65000,
"presence_penalty": 0.1,
"frequency_penalty": 0.5,
"response_logprobs": True,
"logprobs": 3,
"seed": 42,
"labels": {"llm.agent.name": "test_agent"},
},
{
"temperature": 0.0,
"top_k": 5.0,
"top_p": 0.1,
"candidate_count": 5,
"max_output_tokens": 65000,
"presence_penalty": 0.1,
"frequency_penalty": 0.5,
"response_logprobs": True,
"logprobs": 3,
"seed": 42,
},
),
],
)
async def test_generation_config_logging(
self,
bq_plugin_inst,
mock_write_client,
dummy_arrow_schema,
callback_context,
gen_config_kwargs,
expected_llm_config,
):
"""Verifies that all fields in GenerateContentConfig are logged correctly."""
gen_config = types.GenerateContentConfig(**gen_config_kwargs)
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Prompt")])],
config=gen_config,
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
# Flush
await bq_plugin_inst.flush()
# Verify
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert log_entry["event_type"] == "LLM_REQUEST"
attributes = json.loads(log_entry["attributes"])
llm_config = attributes.get("llm_config", {})
assert llm_config == expected_llm_config
if "labels" in gen_config_kwargs:
assert attributes.get("labels") == gen_config_kwargs["labels"]
class TestSafeCallbackDecorator:
"""Tests that _safe_callback prevents plugin errors from propagating."""
@pytest.mark.asyncio
async def test_callback_exception_does_not_propagate(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""A callback that throws should return None, not crash."""
# Force _log_event to raise
with mock.patch.object(
bq_plugin_inst,
"_log_event",
side_effect=RuntimeError("BQ network timeout"),
):
# Should NOT raise
result = await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
assert result is None
@pytest.mark.asyncio
async def test_callback_exception_is_logged(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""The swallowed exception should be logged with exc_info."""
with mock.patch.object(
bq_plugin_inst,
"_log_event",
side_effect=RuntimeError("BQ write failed"),
):
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.logger"
) as mock_logger:
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context,
)
mock_logger.exception.assert_called_once_with(
"BigQuery analytics plugin error in %s; skipping.",
"before_run_callback",
)
@pytest.mark.asyncio
async def test_subsequent_callbacks_work_after_failure(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""After one callback fails, the next one should still work."""
call_count = 0
original_log_event = bq_plugin_inst._log_event
async def fail_once(*args, **kwargs):
nonlocal call_count
call_count += 1
if call_count == 1:
raise RuntimeError("Transient error")
return await original_log_event(*args, **kwargs)
with mock.patch.object(bq_plugin_inst, "_log_event", side_effect=fail_once):
# First call fails silently
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Fail")]),
)
# Second call succeeds
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context,
)
await bq_plugin_inst.flush()
mock_write_client.append_rows.assert_called_once()
@pytest.mark.asyncio
async def test_on_event_callback_exception_returns_none(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""on_event_callback should return None on error, not crash."""
event = event_lib.Event(
author="test_agent",
actions=event_actions_lib.EventActions(state_delta={"key": "value"}),
)
with mock.patch.object(
bq_plugin_inst,
"_log_event",
side_effect=Exception("serialize error"),
):
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
assert result is None
@pytest.mark.asyncio
async def test_tool_callback_exception_does_not_propagate(
self,
bq_plugin_inst,
mock_write_client,
tool_context,
):
"""Tool callbacks should not crash even if plugin errors."""
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value="MyTool")
with mock.patch.object(
bq_plugin_inst,
"_log_event",
side_effect=RuntimeError("BQ down"),
):
# before_tool_callback
result = await bq_plugin_inst.before_tool_callback(
tool=mock_tool,
tool_args={"p": "v"},
tool_context=tool_context,
)
assert result is None
# after_tool_callback
result = await bq_plugin_inst.after_tool_callback(
tool=mock_tool,
tool_args={"p": "v"},
tool_context=tool_context,
result={"r": "ok"},
)
assert result is None
# on_tool_error_callback
result = await bq_plugin_inst.on_tool_error_callback(
tool=mock_tool,
tool_args={"p": "v"},
tool_context=tool_context,
error=ValueError("tool broke"),
)
assert result is None
@pytest.mark.asyncio
async def test_model_callback_exception_does_not_propagate(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
):
"""Model callbacks should not crash even if plugin errors."""
with mock.patch.object(
bq_plugin_inst,
"_log_event",
side_effect=RuntimeError("BQ down"),
):
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Hi")])],
)
result = await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
assert result is None
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="Hi")]),
)
result = await bq_plugin_inst.after_model_callback(
callback_context=callback_context, llm_response=llm_response
)
assert result is None
result = await bq_plugin_inst.on_model_error_callback(
callback_context=callback_context,
llm_request=llm_request_lib.LlmRequest(model="gemini-pro"),
error=ValueError("llm error"),
)
assert result is None
@pytest.mark.asyncio
async def test_lazy_setup_creates_executor_for_preconfigured_client(
monkeypatch,
):
"""GCS setup must not depend on whether the BQ client was preconfigured."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
gcs_bucket_name="test-bucket"
)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
plugin.client = mock.MagicMock()
monkeypatch.setattr(plugin, "_ensure_schema_exists", mock.Mock())
monkeypatch.setattr(plugin, "_get_loop_state", mock.AsyncMock())
monkeypatch.setattr(
bigquery_agent_analytics_plugin,
"to_arrow_schema",
lambda _: pa.schema([pa.field("event_type", pa.string())]),
)
monkeypatch.setattr(
bigquery_agent_analytics_plugin.cloud_storage,
"Client",
mock.MagicMock(),
)
try:
await plugin._lazy_setup()
assert plugin._executor is not None
assert plugin.offloader is not None
assert plugin.offloader.executor is plugin._executor
finally:
await plugin.shutdown()
class TestParserReuse:
"""Tests that HybridContentParser is reused, not recreated per event."""
@pytest.mark.asyncio
async def test_parser_instance_is_reused(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""The same parser instance should be reused across _log_event calls."""
parser_after_init = bq_plugin_inst.parser
assert parser_after_init is not None
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Hello")]),
)
await bq_plugin_inst.flush()
# Parser should be the same instance, not a new one
assert bq_plugin_inst.parser is parser_after_init
@pytest.mark.asyncio
async def test_parser_identity_not_mutated_per_call(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""_log_event must NOT store request identity on the shared parser.
trace_id/span_id are passed per parse() call: mutating the
shared instance let a concurrent event's await resume with another
event's identity and overwrite its GCS objects.
"""
parser = bq_plugin_inst.parser
original_trace_id = parser.trace_id
original_span_id = parser.span_id
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
await bq_plugin_inst.flush()
# The shared parser's constructor-time fields are untouched; identity
# travelled through the parse() call arguments instead.
assert parser.trace_id == original_trace_id
assert parser.span_id == original_span_id
mock_write_client.append_rows.assert_called_once()
@pytest.mark.asyncio
async def test_parser_not_recreated_with_constructor(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""HybridContentParser constructor should not be called in
_log_event."""
with mock.patch.object(
bigquery_agent_analytics_plugin,
"HybridContentParser",
wraps=bigquery_agent_analytics_plugin.HybridContentParser,
) as mock_parser_cls:
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="Test")]),
)
await bq_plugin_inst.flush()
# Constructor should NOT have been called during _log_event
mock_parser_cls.assert_not_called()
class TestPropertyAccessors:
"""Tests that properties work correctly after __getattribute__ removal."""
@pytest.mark.asyncio
async def testbatch_processorerty_returns_processor(self, bq_plugin_inst):
"""batch_processor property should return the processor for the
current loop."""
bp = bq_plugin_inst.batch_processor
assert bp is not None
assert isinstance(bp, bigquery_agent_analytics_plugin.BatchProcessor)
@pytest.mark.asyncio
async def test_write_client_property_returns_client(self, bq_plugin_inst):
"""write_client property should return the client for the current
loop."""
wc = bq_plugin_inst.write_client
assert wc is not None
@pytest.mark.asyncio
async def test_write_stream_property_returns_stream(self, bq_plugin_inst):
"""write_stream property should return the stream name."""
ws = bq_plugin_inst.write_stream
assert ws is not None
assert ws == DEFAULT_STREAM_NAME
@pytest.mark.asyncio
async def test_properties_return_none_when_no_loop_state(self):
"""Properties should return None when no state exists for the
current loop."""
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
assert plugin.batch_processor is None
assert plugin.write_client is None
assert plugin.write_stream is None
@pytest.mark.asyncio
async def test_regular_attributes_still_accessible(self, bq_plugin_inst):
"""Regular instance attributes should still be accessible."""
assert bq_plugin_inst.project_id == PROJECT_ID
assert bq_plugin_inst.dataset_id == DATASET_ID
assert bq_plugin_inst.table_id == TABLE_ID
assert bq_plugin_inst.config is not None
assert bq_plugin_inst._started is True
def test_properties_without_running_loop(self):
"""Properties should return None when no event loop is running."""
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
# No running loop → should return None, not crash
assert plugin.batch_processor is None
assert plugin.write_client is None
assert plugin.write_stream is None
class TestUnifiedSpanRecords:
"""Tests for the unified _SpanRecord-based TraceManager."""
@pytest.mark.asyncio
async def test_push_pop_keeps_stacks_in_sync(self, callback_context):
"""Push and pop should always leave the records stack consistent."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
span_id_1 = TM.push_span(callback_context, "span-1")
span_id_2 = TM.push_span(callback_context, "span-2")
# Both should be on the stack
assert TM.get_current_span_id() == span_id_2
current, parent = TM.get_current_span_and_parent()
assert current == span_id_2
assert parent == span_id_1
# Pop span-2
popped_id, duration = TM.pop_span()
assert popped_id == span_id_2
assert duration is not None
assert TM.get_current_span_id() == span_id_1
# Pop span-1
popped_id, _ = TM.pop_span()
assert popped_id == span_id_1
assert TM.get_current_span_id() is None
@pytest.mark.asyncio
async def test_pop_empty_stack_returns_none(self, callback_context):
"""Popping an empty stack should return (None, None)."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
span_id, duration = TM.pop_span()
assert span_id is None
assert duration is None
@pytest.mark.asyncio
async def test_first_token_time_stored_in_record(self, callback_context):
"""first_token_time should be stored on the span record."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
span_id = TM.push_span(callback_context, "llm-span")
# No first token yet
assert TM.get_first_token_time(span_id) is None
# Record first token
assert TM.record_first_token(span_id) is True
ftt = TM.get_first_token_time(span_id)
assert ftt is not None
# Second call should return False (already recorded)
assert TM.record_first_token(span_id) is False
# Clean up
TM.pop_span()
@pytest.mark.asyncio
async def test_start_time_accessible_by_span_id(self, callback_context):
"""get_start_time should find the span by ID in the records."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
span_id = TM.push_span(callback_context, "timed-span")
start = TM.get_start_time(span_id)
assert start is not None
assert start > 0
TM.pop_span()
@pytest.mark.asyncio
async def test_attach_current_span_does_not_own(self, callback_context):
"""attach_current_span should not end the span on pop."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
mock_span = mock.Mock()
mock_ctx = mock.Mock()
mock_ctx.is_valid = False
mock_span.get_span_context.return_value = mock_ctx
with mock.patch(
"opentelemetry.trace.get_current_span", return_value=mock_span
):
span_id = TM.attach_current_span(callback_context)
assert span_id is not None
TM.pop_span()
# Should NOT have called span.end() since we don't own it
mock_span.end.assert_not_called()
@pytest.mark.asyncio
async def test_concurrent_tasks_have_isolated_stacks(self, callback_context):
"""Concurrent async tasks should have isolated span stacks."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
async def task_a():
s = TM.push_span(callback_context, "task-a")
await asyncio.sleep(0.02)
assert TM.get_current_span_id() == s
TM.pop_span()
return s
async def task_b():
s = TM.push_span(callback_context, "task-b")
await asyncio.sleep(0.02)
assert TM.get_current_span_id() == s
TM.pop_span()
return s
results = await asyncio.gather(task_a(), task_b())
assert results[0] != results[1]
@pytest.mark.asyncio
async def test_pop_cleans_up_record_completely(self, callback_context):
"""After pop, the record should be fully removed from the stack."""
TM = bigquery_agent_analytics_plugin.TraceManager
TM.init_trace(callback_context)
span_id = TM.push_span(callback_context, "temp-span")
# Record is on the stack
assert TM.get_current_span_id() == span_id
assert TM.get_start_time(span_id) is not None
TM.pop_span()
# Record is gone
assert TM.get_current_span_id() is None
assert TM.get_start_time(span_id) is None
assert TM.get_first_token_time(span_id) is None
class TestLoopStateValidation:
"""Tests for loop state validation and stale loop cleanup."""
def _make_plugin(self):
"""Creates a plugin instance without starting it."""
return bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
def _make_loop_state(self):
"""Creates a mock _LoopState with batch_processor and write_client."""
state = mock.MagicMock()
state.batch_processor = mock.create_autospec(
bigquery_agent_analytics_plugin.BatchProcessor,
instance=True,
spec_set=True,
)
state.batch_processor.get_drop_stats.return_value = {}
state.write_client = mock.MagicMock()
return state
def test_cleanup_stale_loop_states_removes_closed_loops(self):
"""Closed loops should be removed from _loop_state_by_loop."""
plugin = self._make_plugin()
closed_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
closed_loop.is_closed.return_value = True
plugin._loop_state_by_loop[closed_loop] = self._make_loop_state()
plugin._cleanup_stale_loop_states()
assert closed_loop not in plugin._loop_state_by_loop
def test_cleanup_stale_loop_states_keeps_open_loops(self):
"""Open loops should not be removed from _loop_state_by_loop."""
plugin = self._make_plugin()
open_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
open_loop.is_closed.return_value = False
plugin._loop_state_by_loop[open_loop] = self._make_loop_state()
plugin._cleanup_stale_loop_states()
assert open_loop in plugin._loop_state_by_loop
def test_cleanup_removes_only_closed_loops(self):
"""Only closed loops should be removed; open ones stay."""
plugin = self._make_plugin()
open_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
open_loop.is_closed.return_value = False
closed_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
closed_loop.is_closed.return_value = True
plugin._loop_state_by_loop[open_loop] = self._make_loop_state()
plugin._loop_state_by_loop[closed_loop] = self._make_loop_state()
plugin._cleanup_stale_loop_states()
assert open_loop in plugin._loop_state_by_loop
assert closed_loop not in plugin._loop_state_by_loop
@pytest.mark.asyncio
async def testbatch_processor_returns_processor_for_open_loop(
self,
):
"""batch_processor returns processor for the current loop."""
plugin = self._make_plugin()
loop = asyncio.get_running_loop()
state = self._make_loop_state()
plugin._loop_state_by_loop[loop] = state
assert plugin.batch_processor is state.batch_processor
# Clean up
del plugin._loop_state_by_loop[loop]
@pytest.mark.asyncio
async def testbatch_processor_cleans_closed_loop_entry(self):
"""Accessing batch_processor cleans up closed loop entries."""
plugin = self._make_plugin()
closed_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
closed_loop.is_closed.return_value = True
plugin._loop_state_by_loop[closed_loop] = self._make_loop_state()
# Accessing the prop should clean up the closed loop entry
_ = plugin.batch_processor
assert closed_loop not in plugin._loop_state_by_loop
@pytest.mark.asyncio
async def test_flush_cleans_stale_states(self):
"""flush() should clean up stale loop states before flushing."""
plugin = self._make_plugin()
closed_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
closed_loop.is_closed.return_value = True
plugin._loop_state_by_loop[closed_loop] = self._make_loop_state()
await plugin.flush()
assert closed_loop not in plugin._loop_state_by_loop
class TestAtexitCleanup:
"""Tests for the simplified _atexit_cleanup static method."""
def _make_batch_processor(self, queue_items=0):
bp = mock.MagicMock()
bp._shutdown = False
q = asyncio.Queue()
for i in range(queue_items):
q.put_nowait({"event": i})
bp._queue = q
return bp
def test_skips_none_processor(self):
"""Should return immediately when batch_processor is None."""
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._atexit_cleanup(
None
)
def test_skips_already_shutdown(self):
"""Should return immediately when batch_processor._shutdown is True."""
bp = self._make_batch_processor()
bp._shutdown = True
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._atexit_cleanup(
bp
)
def test_skips_reference_error(self):
"""Should handle ReferenceError from weakref'd processor."""
bp = mock.MagicMock()
type(bp)._shutdown = mock.PropertyMock(side_effect=ReferenceError)
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._atexit_cleanup(
bp
)
def test_empty_queue_no_warning(self):
"""Should not warn when queue is empty."""
bp = self._make_batch_processor(queue_items=0)
with mock.patch.object(
bigquery_agent_analytics_plugin.logger, "warning"
) as mock_warn:
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._atexit_cleanup(
bp
)
mock_warn.assert_not_called()
def test_remaining_items_logs_warning(self):
"""Should drain queue and log warning with count of lost items."""
bp = self._make_batch_processor(queue_items=3)
with mock.patch.object(
bigquery_agent_analytics_plugin.logger, "warning"
) as mock_warn:
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._atexit_cleanup(
bp
)
mock_warn.assert_called_once()
# Verify the warning mentions the count
call_args = mock_warn.call_args
assert "3" in str(call_args)
def test_queue_is_drained(self):
"""Should drain all items from the queue."""
bp = self._make_batch_processor(queue_items=5)
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._atexit_cleanup(
bp
)
assert bp._queue.empty()
class TestDuplicateLabels:
"""Tests that labels in before_model_callback are set exactly once."""
@pytest.mark.asyncio
async def test_labels_set_when_present(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Labels should appear in attributes when config has them."""
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
config=types.GenerateContentConfig(
labels={"env": "test"},
),
contents=[types.Content(role="user", parts=[types.Part(text="hi")])],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attributes = json.loads(log_entry["attributes"])
assert attributes["labels"] == {"env": "test"}
@pytest.mark.asyncio
async def test_labels_absent_when_none(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Labels should not appear in attributes when config.labels is None."""
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
config=types.GenerateContentConfig(
temperature=0.5,
),
contents=[types.Content(role="user", parts=[types.Part(text="hi")])],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attributes = json.loads(log_entry["attributes"])
assert "labels" not in attributes
@pytest.mark.asyncio
async def test_no_config_no_labels(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Labels should not appear when llm_request has no config."""
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(role="user", parts=[types.Part(text="hi")])],
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attributes = json.loads(log_entry["attributes"])
assert "labels" not in attributes
class TestResolveIds:
"""Tests for the _resolve_ids static helper."""
def _resolve(self, ed, callback_context):
return bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._resolve_ids(
ed, callback_context
)
def test_uses_trace_manager_defaults(self, callback_context):
"""Should use TraceManager values when no overrides and no ambient."""
ed = bigquery_agent_analytics_plugin.EventData(
extra_attributes={"some_key": "value"}
)
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=("span-1", "parent-1"),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value="trace-1",
),
):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
assert trace_id == "trace-1"
assert span_id == "span-1"
assert parent_id == "parent-1"
def test_span_id_override(self, callback_context):
"""Should use span_id_override from EventData."""
ed = bigquery_agent_analytics_plugin.EventData(
span_id_override="custom-span"
)
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=("span-1", "parent-1"),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value="trace-1",
),
):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
assert span_id == "custom-span"
assert parent_id == "parent-1"
def test_parent_span_id_override(self, callback_context):
"""Should use parent_span_id_override from EventData."""
ed = bigquery_agent_analytics_plugin.EventData(
parent_span_id_override="custom-parent"
)
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=("span-1", "parent-1"),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value="trace-1",
),
):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
assert span_id == "span-1"
assert parent_id == "custom-parent"
def test_none_override_keeps_default(self, callback_context):
"""None overrides should keep the TraceManager defaults."""
ed = bigquery_agent_analytics_plugin.EventData(
span_id_override=None, parent_span_id_override=None
)
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=("span-1", "parent-1"),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value="trace-1",
),
):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
assert span_id == "span-1"
assert parent_id == "parent-1"
def test_ambient_provides_trace_id_only_when_stack_present(
self, callback_context
):
"""Plugin stack owns span_id/parent; ambient only provides trace_id."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
ed = bigquery_agent_analytics_plugin.EventData()
with real_tracer.start_as_current_span("invocation") as parent_span:
with real_tracer.start_as_current_span("agent") as agent_span:
ambient_ctx = agent_span.get_span_context()
expected_trace = format(ambient_ctx.trace_id, "032x")
# Plugin stack has spans — these should win for span/parent.
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=("plugin-span", "plugin-parent"),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value="plugin-trace",
),
):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
# trace_id comes from ambient OTel.
assert trace_id == expected_trace
# span_id and parent_span_id come from plugin stack.
assert span_id == "plugin-span"
assert parent_id == "plugin-parent"
provider.shutdown()
def test_ambient_fallback_when_no_plugin_stack(self, callback_context):
"""Ambient OTel provides span_id/parent when plugin stack is empty."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
ed = bigquery_agent_analytics_plugin.EventData()
with real_tracer.start_as_current_span("invocation") as parent_span:
with real_tracer.start_as_current_span("agent") as agent_span:
ambient_ctx = agent_span.get_span_context()
expected_trace = format(ambient_ctx.trace_id, "032x")
expected_span = format(ambient_ctx.span_id, "016x")
expected_parent = format(parent_span.get_span_context().span_id, "016x")
# Plugin stack returns None — ambient is the fallback.
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=(None, None),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value=None,
),
):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
assert trace_id == expected_trace
assert span_id == expected_span
assert parent_id == expected_parent
provider.shutdown()
def test_override_beats_ambient(self, callback_context):
"""EventData overrides take priority over ambient OTel span."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
ed = bigquery_agent_analytics_plugin.EventData(
trace_id_override="forced-trace",
span_id_override="forced-span",
parent_span_id_override="forced-parent",
)
with real_tracer.start_as_current_span("invocation"):
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
assert trace_id == "forced-trace"
assert span_id == "forced-span"
assert parent_id == "forced-parent"
provider.shutdown()
def test_plugin_stack_wins_over_ambient_root_span(self, callback_context):
"""Plugin stack span is used even when ambient root span exists."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
# Seed the plugin stack with a span.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "plugin-child"
)
# Capture the plugin span_id that was pushed.
plugin_span_id, _ = (
bigquery_agent_analytics_plugin.TraceManager.get_current_span_and_parent()
)
ed = bigquery_agent_analytics_plugin.EventData()
# Single root ambient span — no parent.
with real_tracer.start_as_current_span("root_invocation") as root:
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
ambient_trace = format(root.get_span_context().trace_id, "032x")
# trace_id comes from ambient.
assert trace_id == ambient_trace
# span_id comes from plugin stack, not ambient.
assert span_id == plugin_span_id
# parent is None — only one span in plugin stack.
assert parent_id is None
# Cleanup
bigquery_agent_analytics_plugin.TraceManager.pop_span()
provider.shutdown()
def test_ambient_root_fallback_no_self_parent(self, callback_context):
"""Ambient root span fallback must not produce self-parent."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
ed = bigquery_agent_analytics_plugin.EventData()
# Plugin stack empty — ambient provides the fallback.
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=(None, None),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value=None,
),
):
with real_tracer.start_as_current_span("root") as root:
trace_id, span_id, parent_id = self._resolve(ed, callback_context)
root_span_id = format(root.get_span_context().span_id, "016x")
assert span_id == root_span_id
assert parent_id is None
provider.shutdown()
def test_plugin_stack_pairs_starting_completed(self, callback_context):
"""STARTING/COMPLETED pairing uses plugin stack, not ambient.
Post-pop callbacks now always pass explicit overrides from the
plugin stack. The plugin stack span_id is used for both events
regardless of ambient OTel state.
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
with real_tracer.start_as_current_span("invoke_agent"):
# Simulate STARTING: plugin stack provides span_id.
with (
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_current_span_and_parent",
return_value=("plugin-agent", "plugin-inv"),
),
mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_trace_id",
return_value="plugin-trace",
),
):
ed_starting = bigquery_agent_analytics_plugin.EventData()
_, span_starting, _ = self._resolve(ed_starting, callback_context)
# Simulate COMPLETED: explicit override from popped span.
ed_completed = bigquery_agent_analytics_plugin.EventData(
span_id_override="plugin-agent",
parent_span_id_override="plugin-inv",
latency_ms=42,
)
_, span_completed, _ = self._resolve(ed_completed, callback_context)
assert span_starting == "plugin-agent"
assert span_completed == "plugin-agent"
assert span_starting == span_completed
provider.shutdown()
class TestExtractLatency:
"""Tests for the _extract_latency static helper."""
def test_no_latency_returns_none(self):
"""Should return None when no latency fields present."""
ed = bigquery_agent_analytics_plugin.EventData(
extra_attributes={"other": "val"}
)
result = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._extract_latency(
ed
)
assert result is None
def test_total_latency_only(self):
"""Should extract latency_ms into total_ms."""
ed = bigquery_agent_analytics_plugin.EventData(latency_ms=42.5)
result = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._extract_latency(
ed
)
assert result == {"total_ms": 42.5}
def test_tfft_only(self):
"""Should extract time_to_first_token_ms."""
ed = bigquery_agent_analytics_plugin.EventData(time_to_first_token_ms=10.0)
result = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._extract_latency(
ed
)
assert result == {"time_to_first_token_ms": 10.0}
def test_both_latencies(self):
"""Should extract both latency fields."""
ed = bigquery_agent_analytics_plugin.EventData(
latency_ms=100, time_to_first_token_ms=20
)
result = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin._extract_latency(
ed
)
assert result == {"total_ms": 100, "time_to_first_token_ms": 20}
class TestEnrichAttributes:
"""Tests for the _enrich_attributes helper."""
def _make_plugin(self):
with (
mock.patch(
"google.auth.default",
return_value=(mock.Mock(), PROJECT_ID),
),
mock.patch(
"google.cloud.bigquery.Client",
),
):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
)
plugin.config.max_content_length = 10000
plugin.config.log_session_metadata = False
plugin.config.custom_tags = None
return plugin
def _make_callback_context(self):
ctx = mock.MagicMock()
session = mock.MagicMock()
session.id = "sess-001"
session.app_name = "test-app"
session.user_id = "user-001"
session.state = {"env": "test"}
ctx._invocation_context.session = session
return ctx
def test_adds_root_agent_name(self):
"""Should always add root_agent_name."""
plugin = self._make_plugin()
ed = bigquery_agent_analytics_plugin.EventData()
with mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_root_agent_name",
return_value="my-agent",
):
attrs = plugin._enrich_attributes(ed, self._make_callback_context())
assert attrs["root_agent_name"] == "my-agent"
def test_includes_model(self):
"""Should include model from EventData."""
plugin = self._make_plugin()
ed = bigquery_agent_analytics_plugin.EventData(model="gemini-pro")
with mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_root_agent_name",
return_value="agent",
):
attrs = plugin._enrich_attributes(ed, self._make_callback_context())
assert attrs["model"] == "gemini-pro"
def test_session_metadata_when_enabled(self):
"""Should add session_metadata when log_session_metadata is True."""
plugin = self._make_plugin()
plugin.config.log_session_metadata = True
ctx = self._make_callback_context()
ed = bigquery_agent_analytics_plugin.EventData()
with mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_root_agent_name",
return_value="agent",
):
attrs = plugin._enrich_attributes(ed, ctx)
meta = attrs["session_metadata"]
assert meta["session_id"] == "sess-001"
assert meta["app_name"] == "test-app"
assert meta["user_id"] == "user-001"
assert meta["state"] == {"env": "test"}
def test_session_metadata_when_disabled(self):
"""Should not add session_metadata when log_session_metadata is False."""
plugin = self._make_plugin()
plugin.config.log_session_metadata = False
ed = bigquery_agent_analytics_plugin.EventData()
with mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_root_agent_name",
return_value="agent",
):
attrs = plugin._enrich_attributes(ed, self._make_callback_context())
assert "session_metadata" not in attrs
def test_custom_tags_added(self):
"""Should add custom_tags when configured."""
plugin = self._make_plugin()
plugin.config.custom_tags = {"team": "infra"}
ed = bigquery_agent_analytics_plugin.EventData()
with mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_root_agent_name",
return_value="agent",
):
attrs = plugin._enrich_attributes(ed, self._make_callback_context())
assert attrs["custom_tags"] == {"team": "infra"}
def test_usage_metadata_truncated(self):
"""Should smart-truncate usage_metadata."""
plugin = self._make_plugin()
ed = bigquery_agent_analytics_plugin.EventData(
usage_metadata={"input_tokens": 100, "output_tokens": 50}
)
with mock.patch.object(
bigquery_agent_analytics_plugin.TraceManager,
"get_root_agent_name",
return_value="agent",
):
attrs = plugin._enrich_attributes(ed, self._make_callback_context())
assert attrs["usage_metadata"] == {
"input_tokens": 100,
"output_tokens": 50,
}
class TestMultiSubagentToolLogging:
"""Tests that tool events from different subagents are attributed correctly.
Covers:
- Tool calls from different subagents have the correct `agent` field
- Multi-turn (different invocation_ids, same session) logs correctly
- Full callback sequence across multiple subagents in one turn
- Span hierarchy is maintained per-subagent
"""
@staticmethod
def _make_invocation_context(agent_name, session, invocation_id="inv-001"):
"""Create an InvocationContext with a specific agent name."""
mock_a = mock.create_autospec(
base_agent.BaseAgent, instance=True, spec_set=True
)
type(mock_a).name = mock.PropertyMock(return_value=agent_name)
type(mock_a).instruction = mock.PropertyMock(
return_value=f"{agent_name} instruction"
)
mock_session_service = mock.create_autospec(
base_session_service_lib.BaseSessionService,
instance=True,
spec_set=True,
)
mock_plugin_manager = mock.create_autospec(
plugin_manager_lib.PluginManager,
instance=True,
spec_set=True,
)
return InvocationContext(
agent=mock_a,
session=session,
invocation_id=invocation_id,
session_service=mock_session_service,
plugin_manager=mock_plugin_manager,
)
@staticmethod
def _make_session(session_id="session-multi", user_id="user-multi"):
mock_s = mock.create_autospec(
session_lib.Session, instance=True, spec_set=True
)
type(mock_s).id = mock.PropertyMock(return_value=session_id)
type(mock_s).user_id = mock.PropertyMock(return_value=user_id)
type(mock_s).app_name = mock.PropertyMock(return_value="test_app")
type(mock_s).state = mock.PropertyMock(return_value={})
return mock_s
@staticmethod
def _make_tool(name):
mock_tool = mock.create_autospec(
base_tool_lib.BaseTool, instance=True, spec_set=True
)
type(mock_tool).name = mock.PropertyMock(return_value=name)
type(mock_tool).description = mock.PropertyMock(
return_value=f"{name} description"
)
return mock_tool
@pytest.mark.asyncio
async def test_tool_calls_attributed_to_correct_subagent(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Tool events from different subagents carry the correct agent name."""
session = self._make_session()
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# --- Subagent A: schema_explorer calls list_datasets ---
inv_ctx_a = self._make_invocation_context("schema_explorer", session)
ctx_a = tool_context_lib.ToolContext(invocation_context=inv_ctx_a)
tool_a = self._make_tool("list_dataset_ids")
bigquery_agent_analytics_plugin.TraceManager.push_span(ctx_a, "tool")
await plugin.before_tool_callback(
tool=tool_a,
tool_args={"project_id": "my-project"},
tool_context=ctx_a,
)
await plugin.flush()
# --- Subagent B: image_describer calls describe_this_image ---
inv_ctx_b = self._make_invocation_context("image_describer", session)
ctx_b = tool_context_lib.ToolContext(invocation_context=inv_ctx_b)
tool_b = self._make_tool("describe_this_image")
bigquery_agent_analytics_plugin.TraceManager.push_span(ctx_b, "tool")
await plugin.before_tool_callback(
tool=tool_b,
tool_args={"image_uri": "gs://bucket/image.jpg"},
tool_context=ctx_b,
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
assert len(rows) == 2
# First row: schema_explorer's tool
assert rows[0]["event_type"] == "TOOL_STARTING"
assert rows[0]["agent"] == "schema_explorer"
content_a = json.loads(rows[0]["content"])
assert content_a["tool"] == "list_dataset_ids"
assert content_a["args"] == {"project_id": "my-project"}
# Second row: image_describer's tool
assert rows[1]["event_type"] == "TOOL_STARTING"
assert rows[1]["agent"] == "image_describer"
content_b = json.loads(rows[1]["content"])
assert content_b["tool"] == "describe_this_image"
assert content_b["args"] == {"image_uri": "gs://bucket/image.jpg"}
@pytest.mark.asyncio
async def test_multi_turn_tool_calls_different_invocations(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Multi-turn: same session, different invocation IDs, tools logged."""
session = self._make_session()
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# --- Turn 1: schema_explorer calls list_dataset_ids ---
inv_ctx_1 = self._make_invocation_context(
"schema_explorer", session, invocation_id="inv-turn1"
)
ctx_1 = tool_context_lib.ToolContext(invocation_context=inv_ctx_1)
tool_1 = self._make_tool("list_dataset_ids")
bigquery_agent_analytics_plugin.TraceManager.push_span(ctx_1, "tool")
await plugin.before_tool_callback(
tool=tool_1,
tool_args={"project_id": "proj"},
tool_context=ctx_1,
)
await plugin.flush()
await plugin.after_tool_callback(
tool=tool_1,
tool_args={"project_id": "proj"},
tool_context=ctx_1,
result={"datasets": ["ds1", "ds2"]},
)
await plugin.flush()
# --- Turn 2: query_analyst calls execute_sql ---
inv_ctx_2 = self._make_invocation_context(
"query_analyst", session, invocation_id="inv-turn2"
)
ctx_2 = tool_context_lib.ToolContext(invocation_context=inv_ctx_2)
tool_2 = self._make_tool("execute_sql")
bigquery_agent_analytics_plugin.TraceManager.push_span(ctx_2, "tool")
await plugin.before_tool_callback(
tool=tool_2,
tool_args={"sql": "SELECT * FROM t"},
tool_context=ctx_2,
)
await plugin.flush()
await plugin.after_tool_callback(
tool=tool_2,
tool_args={"sql": "SELECT * FROM t"},
tool_context=ctx_2,
result={"rows": [{"col": "val"}]},
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
assert len(rows) == 4
# Turn 1: TOOL_STARTING + TOOL_COMPLETED for schema_explorer
assert rows[0]["event_type"] == "TOOL_STARTING"
assert rows[0]["agent"] == "schema_explorer"
assert rows[0]["invocation_id"] == "inv-turn1"
assert rows[0]["session_id"] == "session-multi"
assert rows[1]["event_type"] == "TOOL_COMPLETED"
assert rows[1]["agent"] == "schema_explorer"
assert rows[1]["invocation_id"] == "inv-turn1"
content_1 = json.loads(rows[1]["content"])
assert content_1["tool"] == "list_dataset_ids"
assert content_1["result"] == {"datasets": ["ds1", "ds2"]}
# Turn 2: TOOL_STARTING + TOOL_COMPLETED for query_analyst
assert rows[2]["event_type"] == "TOOL_STARTING"
assert rows[2]["agent"] == "query_analyst"
assert rows[2]["invocation_id"] == "inv-turn2"
assert rows[3]["event_type"] == "TOOL_COMPLETED"
assert rows[3]["agent"] == "query_analyst"
assert rows[3]["invocation_id"] == "inv-turn2"
content_2 = json.loads(rows[3]["content"])
assert content_2["tool"] == "execute_sql"
assert content_2["result"] == {"rows": [{"col": "val"}]}
@pytest.mark.asyncio
async def test_full_subagent_callback_sequence(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Full lifecycle: agent_start → LLM → tool → tool_done → LLM → agent_done.
Simulates a subagent that makes an LLM call, then a tool call,
then another LLM call, and completes.
"""
session = self._make_session()
inv_ctx = self._make_invocation_context("schema_explorer", session)
cb_ctx = CallbackContext(invocation_context=inv_ctx)
tool_ctx = tool_context_lib.ToolContext(invocation_context=inv_ctx)
mock_agent = inv_ctx.agent
tool = self._make_tool("get_table_info")
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# 1. AGENT_STARTING
await plugin.before_agent_callback(
agent=mock_agent, callback_context=cb_ctx
)
await plugin.flush()
# 2. LLM_REQUEST (agent decides to call a tool)
llm_req = llm_request_lib.LlmRequest(
model="gemini-2.5-flash",
contents=[
types.Content(parts=[types.Part(text="What tables exist?")])
],
)
await plugin.before_model_callback(
callback_context=cb_ctx, llm_request=llm_req
)
await plugin.flush()
# 3. LLM_RESPONSE (function call)
llm_resp = llm_response_lib.LlmResponse(
content=types.Content(
parts=[
types.Part(
function_call=types.FunctionCall(
name="get_table_info",
args={"table": "events"},
)
)
]
)
)
await plugin.after_model_callback(
callback_context=cb_ctx, llm_response=llm_resp
)
await plugin.flush()
# 4. TOOL_STARTING
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_ctx, "tool")
await plugin.before_tool_callback(
tool=tool,
tool_args={"table": "events"},
tool_context=tool_ctx,
)
await plugin.flush()
# 5. TOOL_COMPLETED
await plugin.after_tool_callback(
tool=tool,
tool_args={"table": "events"},
tool_context=tool_ctx,
result={"schema": [{"name": "id", "type": "INT64"}]},
)
await plugin.flush()
# 6. AGENT_COMPLETED
await plugin.after_agent_callback(
agent=mock_agent, callback_context=cb_ctx
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
assert len(rows) == 6
expected_sequence = [
"AGENT_STARTING",
"LLM_REQUEST",
"LLM_RESPONSE",
"TOOL_STARTING",
"TOOL_COMPLETED",
"AGENT_COMPLETED",
]
for i, expected_type in enumerate(expected_sequence):
assert (
rows[i]["event_type"] == expected_type
), f"Row {i}: expected {expected_type}, got {rows[i]['event_type']}"
assert rows[i]["agent"] == "schema_explorer"
assert rows[i]["session_id"] == "session-multi"
# TOOL rows have correct content
tool_start = json.loads(rows[3]["content"])
assert tool_start["tool"] == "get_table_info"
assert tool_start["args"] == {"table": "events"}
tool_done = json.loads(rows[4]["content"])
assert tool_done["tool"] == "get_table_info"
assert tool_done["result"] == {"schema": [{"name": "id", "type": "INT64"}]}
# AGENT_COMPLETED and TOOL_COMPLETED should have latency
assert rows[4]["latency_ms"] is not None # TOOL_COMPLETED
assert rows[5]["latency_ms"] is not None # AGENT_COMPLETED
@pytest.mark.asyncio
async def test_tool_error_attributed_to_subagent(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""TOOL_ERROR events carry the correct subagent name."""
session = self._make_session()
inv_ctx = self._make_invocation_context("query_analyst", session)
tool_ctx = tool_context_lib.ToolContext(invocation_context=inv_ctx)
tool = self._make_tool("execute_sql")
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_ctx, "tool")
await plugin.on_tool_error_callback(
tool=tool,
tool_args={"sql": "SELECT * FROM bad_table"},
tool_context=tool_ctx,
error=RuntimeError("Table not found"),
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
assert len(rows) == 1
assert rows[0]["event_type"] == "TOOL_ERROR"
assert rows[0]["agent"] == "query_analyst"
assert rows[0]["error_message"] == "Table not found"
content = json.loads(rows[0]["content"])
assert content["tool"] == "execute_sql"
assert content["args"] == {"sql": "SELECT * FROM bad_table"}
@pytest.mark.asyncio
async def test_multi_subagent_interleaved_tool_calls(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Two subagents call tools in same invocation — agent field is correct.
Simulates orchestrator delegating to schema_explorer first, then
image_describer, all within the same invocation.
"""
session = self._make_session()
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# Subagent 1: schema_explorer — full tool cycle
inv_ctx_1 = self._make_invocation_context(
"schema_explorer", session, invocation_id="inv-shared"
)
ctx_1 = tool_context_lib.ToolContext(invocation_context=inv_ctx_1)
tool_1 = self._make_tool("list_table_ids")
bigquery_agent_analytics_plugin.TraceManager.push_span(ctx_1, "tool")
await plugin.before_tool_callback(
tool=tool_1,
tool_args={"dataset": "analytics"},
tool_context=ctx_1,
)
await plugin.flush()
await plugin.after_tool_callback(
tool=tool_1,
tool_args={"dataset": "analytics"},
tool_context=ctx_1,
result={"tables": ["events", "metrics"]},
)
await plugin.flush()
# Subagent 2: image_describer — full tool cycle
inv_ctx_2 = self._make_invocation_context(
"image_describer", session, invocation_id="inv-shared"
)
ctx_2 = tool_context_lib.ToolContext(invocation_context=inv_ctx_2)
tool_2 = self._make_tool("describe_this_image")
bigquery_agent_analytics_plugin.TraceManager.push_span(ctx_2, "tool")
await plugin.before_tool_callback(
tool=tool_2,
tool_args={"image_uri": "https://example.com/img.jpg"},
tool_context=ctx_2,
)
await plugin.flush()
await plugin.after_tool_callback(
tool=tool_2,
tool_args={"image_uri": "https://example.com/img.jpg"},
tool_context=ctx_2,
result={"description": "A photo of scones"},
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
assert len(rows) == 4
# schema_explorer tool events
assert rows[0]["agent"] == "schema_explorer"
assert rows[0]["event_type"] == "TOOL_STARTING"
assert rows[0]["invocation_id"] == "inv-shared"
assert json.loads(rows[0]["content"])["tool"] == "list_table_ids"
assert rows[1]["agent"] == "schema_explorer"
assert rows[1]["event_type"] == "TOOL_COMPLETED"
assert json.loads(rows[1]["content"])["result"]["tables"] == [
"events",
"metrics",
]
# image_describer tool events
assert rows[2]["agent"] == "image_describer"
assert rows[2]["event_type"] == "TOOL_STARTING"
assert rows[2]["invocation_id"] == "inv-shared"
assert json.loads(rows[2]["content"])["tool"] == "describe_this_image"
assert rows[3]["agent"] == "image_describer"
assert rows[3]["event_type"] == "TOOL_COMPLETED"
assert (
json.loads(rows[3]["content"])["result"]["description"]
== "A photo of scones"
)
# All share the same session and invocation
for row in rows:
assert row["session_id"] == "session-multi"
assert row["invocation_id"] == "inv-shared"
@pytest.mark.asyncio
async def test_multi_turn_multi_subagent_full_sequence(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Multi-turn + multi-subagent: two turns, each with different subagents.
Turn 1: user asks about data → orchestrator → schema_explorer (tool)
Turn 2: user asks about image → orchestrator → image_describer (tool)
Verifies invocation_id changes, agent name changes, session stays same.
"""
session = self._make_session()
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# ===== Turn 1: schema_explorer =====
inv_ctx_t1_orch = self._make_invocation_context(
"orchestrator", session, invocation_id="inv-t1"
)
cb_ctx_t1_orch = CallbackContext(invocation_context=inv_ctx_t1_orch)
# Orchestrator agent_starting
await plugin.before_agent_callback(
agent=inv_ctx_t1_orch.agent,
callback_context=cb_ctx_t1_orch,
)
await plugin.flush()
# Orchestrator delegates to schema_explorer
inv_ctx_t1_sub = self._make_invocation_context(
"schema_explorer", session, invocation_id="inv-t1"
)
cb_ctx_t1_sub = CallbackContext(invocation_context=inv_ctx_t1_sub)
tool_ctx_t1 = tool_context_lib.ToolContext(
invocation_context=inv_ctx_t1_sub
)
await plugin.before_agent_callback(
agent=inv_ctx_t1_sub.agent,
callback_context=cb_ctx_t1_sub,
)
await plugin.flush()
# schema_explorer calls tool
tool_1 = self._make_tool("list_dataset_ids")
bigquery_agent_analytics_plugin.TraceManager.push_span(
tool_ctx_t1, "tool"
)
await plugin.before_tool_callback(
tool=tool_1,
tool_args={"project_id": "proj"},
tool_context=tool_ctx_t1,
)
await plugin.flush()
await plugin.after_tool_callback(
tool=tool_1,
tool_args={"project_id": "proj"},
tool_context=tool_ctx_t1,
result={"datasets": ["ds1"]},
)
await plugin.flush()
# schema_explorer done
await plugin.after_agent_callback(
agent=inv_ctx_t1_sub.agent,
callback_context=cb_ctx_t1_sub,
)
await plugin.flush()
# Orchestrator done
await plugin.after_agent_callback(
agent=inv_ctx_t1_orch.agent,
callback_context=cb_ctx_t1_orch,
)
await plugin.flush()
# ===== Turn 2: image_describer =====
inv_ctx_t2_orch = self._make_invocation_context(
"orchestrator", session, invocation_id="inv-t2"
)
cb_ctx_t2_orch = CallbackContext(invocation_context=inv_ctx_t2_orch)
await plugin.before_agent_callback(
agent=inv_ctx_t2_orch.agent,
callback_context=cb_ctx_t2_orch,
)
await plugin.flush()
# Orchestrator delegates to image_describer
inv_ctx_t2_sub = self._make_invocation_context(
"image_describer", session, invocation_id="inv-t2"
)
cb_ctx_t2_sub = CallbackContext(invocation_context=inv_ctx_t2_sub)
tool_ctx_t2 = tool_context_lib.ToolContext(
invocation_context=inv_ctx_t2_sub
)
await plugin.before_agent_callback(
agent=inv_ctx_t2_sub.agent,
callback_context=cb_ctx_t2_sub,
)
await plugin.flush()
# image_describer calls tool
tool_2 = self._make_tool("describe_this_image")
bigquery_agent_analytics_plugin.TraceManager.push_span(
tool_ctx_t2, "tool"
)
await plugin.before_tool_callback(
tool=tool_2,
tool_args={"image_uri": "gs://b/img.jpg"},
tool_context=tool_ctx_t2,
)
await plugin.flush()
await plugin.after_tool_callback(
tool=tool_2,
tool_args={"image_uri": "gs://b/img.jpg"},
tool_context=tool_ctx_t2,
result={"desc": "Scones on a table"},
)
await plugin.flush()
# image_describer done
await plugin.after_agent_callback(
agent=inv_ctx_t2_sub.agent,
callback_context=cb_ctx_t2_sub,
)
await plugin.flush()
# Orchestrator done
await plugin.after_agent_callback(
agent=inv_ctx_t2_orch.agent,
callback_context=cb_ctx_t2_orch,
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
# Turn 1: 6 rows (orch_start, sub_start, tool_start, tool_done,
# sub_done, orch_done)
# Turn 2: 6 rows (same pattern)
assert len(rows) == 12
# --- Turn 1 validation ---
t1_rows = [r for r in rows if r["invocation_id"] == "inv-t1"]
assert len(t1_rows) == 6
assert t1_rows[0]["event_type"] == "AGENT_STARTING"
assert t1_rows[0]["agent"] == "orchestrator"
assert t1_rows[1]["event_type"] == "AGENT_STARTING"
assert t1_rows[1]["agent"] == "schema_explorer"
assert t1_rows[2]["event_type"] == "TOOL_STARTING"
assert t1_rows[2]["agent"] == "schema_explorer"
assert json.loads(t1_rows[2]["content"])["tool"] == "list_dataset_ids"
assert t1_rows[3]["event_type"] == "TOOL_COMPLETED"
assert t1_rows[3]["agent"] == "schema_explorer"
assert t1_rows[4]["event_type"] == "AGENT_COMPLETED"
assert t1_rows[4]["agent"] == "schema_explorer"
assert t1_rows[5]["event_type"] == "AGENT_COMPLETED"
assert t1_rows[5]["agent"] == "orchestrator"
# --- Turn 2 validation ---
t2_rows = [r for r in rows if r["invocation_id"] == "inv-t2"]
assert len(t2_rows) == 6
assert t2_rows[0]["event_type"] == "AGENT_STARTING"
assert t2_rows[0]["agent"] == "orchestrator"
assert t2_rows[1]["event_type"] == "AGENT_STARTING"
assert t2_rows[1]["agent"] == "image_describer"
assert t2_rows[2]["event_type"] == "TOOL_STARTING"
assert t2_rows[2]["agent"] == "image_describer"
assert json.loads(t2_rows[2]["content"])["tool"] == "describe_this_image"
assert t2_rows[3]["event_type"] == "TOOL_COMPLETED"
assert t2_rows[3]["agent"] == "image_describer"
assert t2_rows[4]["event_type"] == "AGENT_COMPLETED"
assert t2_rows[4]["agent"] == "image_describer"
assert t2_rows[5]["event_type"] == "AGENT_COMPLETED"
assert t2_rows[5]["agent"] == "orchestrator"
# All rows share the same session
for row in rows:
assert row["session_id"] == "session-multi"
class TestEventId:
"""Rows carry a stable identifier for query-time retry deduplication."""
def test_schema_and_views_expose_event_id(self):
"""The physical schema and every typed view expose the row identifier."""
schema_fields = {
field.name: field
for field in bigquery_agent_analytics_plugin._get_events_schema()
}
assert schema_fields["event_id"].field_type == "STRING"
assert schema_fields["event_id"].mode == "NULLABLE"
assert "event_id" in bigquery_agent_analytics_plugin._VIEW_COMMON_COLUMNS
@pytest.mark.asyncio
async def test_each_emitted_row_has_a_distinct_hex_event_id(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Separate plugin rows receive distinct UUID-derived identifiers."""
user_message = types.Content(parts=[types.Part(text="hello")])
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=user_message,
)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=user_message,
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_ids = [row["event_id"] for row in rows]
assert len(event_ids) == 2
assert len(set(event_ids)) == 2
for event_id in event_ids:
assert len(event_id) == 32
assert event_id == event_id.lower()
assert int(event_id, 16) >= 0
@pytest.mark.asyncio
async def test_bigquery_retry_reuses_the_same_event_id(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""A transport retry resends the original row identifier unchanged."""
state = next(iter(bq_plugin_inst._loop_state_by_loop.values()))
state.batch_processor.retry_config = (
bigquery_agent_analytics_plugin.RetryConfig(
max_retries=1,
initial_delay=0,
multiplier=1,
max_delay=0,
)
)
event_ids = []
async def append_then_lose_ack(requests, **kwargs):
del kwargs
request = [request async for request in requests][0]
batch = pa.ipc.read_record_batch(
pa.py_buffer(request.arrow_rows.rows.serialized_record_batch),
dummy_arrow_schema,
)
event_ids.append(batch.to_pylist()[0]["event_id"])
if len(event_ids) == 1:
raise bigquery_agent_analytics_plugin.ServiceUnavailable("ack lost")
response = mock.MagicMock()
response.error.code = 0
response.row_errors = []
return _async_gen(response)
mock_write_client.append_rows.side_effect = append_then_lose_ack
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(parts=[types.Part(text="hello")]),
)
await bq_plugin_inst.flush()
assert len(event_ids) == 2
assert event_ids[0] is not None
assert event_ids[0] == event_ids[1]
class TestSchemaAutoUpgrade:
"""Tests for _ensure_schema_exists with auto_schema_upgrade."""
def _make_plugin(self, auto_schema_upgrade=False):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
auto_schema_upgrade=auto_schema_upgrade,
)
with mock.patch("google.cloud.bigquery.Client"):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
plugin.client = mock.MagicMock()
plugin.full_table_id = f"{PROJECT_ID}.{DATASET_ID}.{TABLE_ID}"
plugin._schema = bigquery_agent_analytics_plugin._get_events_schema()
return plugin
def test_create_table_sets_version_label(self):
"""New tables get the schema version label."""
plugin = self._make_plugin()
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
plugin._ensure_schema_exists()
plugin.client.create_table.assert_called_once()
tbl = plugin.client.create_table.call_args[0][0]
assert (
tbl.labels[bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY]
== bigquery_agent_analytics_plugin._SCHEMA_VERSION
)
def test_no_upgrade_when_disabled(self):
"""Auto-upgrade disabled: existing table is not modified."""
plugin = self._make_plugin(auto_schema_upgrade=False)
existing = mock.MagicMock()
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
plugin.client.update_table.assert_not_called()
def test_upgrade_adds_missing_columns(self):
"""Auto-upgrade adds columns missing from existing table."""
plugin = self._make_plugin(auto_schema_upgrade=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
]
existing.labels = {"other": "label"}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
plugin.client.update_table.assert_called_once()
updated_table = plugin.client.update_table.call_args[0][0]
updated_names = {f.name for f in updated_table.schema}
assert "event_type" in updated_names
assert "event_id" in updated_names
assert "agent" in updated_names
assert "content" in updated_names
assert (
updated_table.labels[
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY
]
== bigquery_agent_analytics_plugin._SCHEMA_VERSION
)
def test_skip_upgrade_when_version_matches(self):
"""No update when stored version matches current."""
plugin = self._make_plugin(auto_schema_upgrade=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = plugin._schema
existing.labels = {
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY: (
bigquery_agent_analytics_plugin._SCHEMA_VERSION
),
}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
plugin.client.update_table.assert_not_called()
def test_upgrade_error_propagates_when_fields_missing(self):
"""Schema upgrade failure raises when required fields are missing.
Swallowing it let _ensure_started mark the plugin ready against a
table every later write can fail on, with no readiness retry.
"""
plugin = self._make_plugin(auto_schema_upgrade=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin.client.update_table.side_effect = Exception("boom")
with pytest.raises(Exception, match="boom"):
plugin._ensure_schema_exists()
@pytest.mark.asyncio
@pytest.mark.parametrize(
("existing_type", "existing_mode"),
[("STRING", "REQUIRED"), ("TIMESTAMP", "NULLABLE")],
ids=("type", "mode"),
)
async def test_incompatible_existing_field_blocks_startup(
self, existing_type, existing_mode
):
"""Same-name fields with incompatible type/mode are not ready."""
plugin = self._make_plugin(auto_schema_upgrade=True)
plugin.config.create_views = False
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", existing_type, mode=existing_mode),
]
existing.labels = {}
plugin.client.get_table.return_value = existing
try:
outcome = await plugin._ensure_started()
assert outcome == "failed"
assert plugin._started is False
assert isinstance(plugin._startup_error, ValueError)
assert "timestamp" in str(plugin._startup_error)
plugin.client.update_table.assert_not_called()
finally:
await plugin.shutdown()
def test_upgrade_preserves_existing_columns(self):
"""Existing columns are never dropped or altered during upgrade."""
plugin = self._make_plugin(auto_schema_upgrade=True)
# Simulate a table with a subset of canonical columns plus a
# user-added custom column that is NOT in the canonical schema.
custom_field = bigquery.SchemaField("my_custom_col", "STRING")
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
bigquery.SchemaField("event_type", "STRING"),
custom_field,
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
updated_table = plugin.client.update_table.call_args[0][0]
updated_names = [f.name for f in updated_table.schema]
# Original columns are still present and in original order.
assert updated_names[0] == "timestamp"
assert updated_names[1] == "event_type"
assert updated_names[2] == "my_custom_col"
# New canonical columns were appended after existing ones.
assert "agent" in updated_names
assert "content" in updated_names
def test_upgrade_from_no_label_treats_as_outdated(self):
"""A table with no version label is treated as needing upgrade."""
plugin = self._make_plugin(auto_schema_upgrade=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = list(plugin._schema) # All columns present
existing.labels = {} # No version label
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
# update_table should be called to stamp the version label even
# though no new columns were needed.
plugin.client.update_table.assert_called_once()
updated_table = plugin.client.update_table.call_args[0][0]
assert (
updated_table.labels[
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY
]
== bigquery_agent_analytics_plugin._SCHEMA_VERSION
)
def test_upgrade_from_older_version_label(self):
"""A table with an older version label triggers upgrade."""
plugin = self._make_plugin(auto_schema_upgrade=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
bigquery.SchemaField("event_type", "STRING"),
]
# Simulate a table stamped with an older version.
existing.labels = {
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY: "0",
}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
plugin.client.update_table.assert_called_once()
updated_table = plugin.client.update_table.call_args[0][0]
# Version label should be updated to current.
assert (
updated_table.labels[
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY
]
== bigquery_agent_analytics_plugin._SCHEMA_VERSION
)
# Missing columns should have been added.
updated_names = {f.name for f in updated_table.schema}
assert "agent" in updated_names
assert "content" in updated_names
def test_upgrade_is_idempotent(self):
"""Calling _ensure_schema_exists twice doesn't double-update."""
plugin = self._make_plugin(auto_schema_upgrade=True)
# First call: table exists with old schema.
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
assert plugin.client.update_table.call_count == 1
# Second call: table now has current version label.
existing.labels = {
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY: (
bigquery_agent_analytics_plugin._SCHEMA_VERSION
),
}
plugin.client.update_table.reset_mock()
plugin._ensure_schema_exists()
plugin.client.update_table.assert_not_called()
def test_update_table_receives_schema_and_labels_fields(self):
"""update_table is called with update_fields=['schema', 'labels']."""
plugin = self._make_plugin(auto_schema_upgrade=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED"),
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
call_args = plugin.client.update_table.call_args
update_fields = call_args[0][1]
assert "schema" in update_fields
assert "labels" in update_fields
def test_auto_schema_upgrade_defaults_to_true(self):
"""Default config has auto_schema_upgrade enabled."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
assert config.auto_schema_upgrade is True
def test_create_table_conflict_refetches_concurrent_table(self):
"""Conflict during create_table re-fetches the concurrently created
table instead of blindly trusting it.
"""
plugin = self._make_plugin()
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = plugin._schema
existing.labels = {}
plugin.client.get_table.side_effect = [
cloud_exceptions.NotFound("not found"),
existing,
]
plugin.client.create_table.side_effect = cloud_exceptions.Conflict(
"already exists"
)
# Should not raise.
plugin._ensure_schema_exists()
assert plugin.client.get_table.call_count == 2
def test_create_table_conflict_upgrades_incompatible_table(self):
"""A concurrently created table missing required columns goes through
the normal upgrade path after Conflict.
"""
plugin = self._make_plugin(auto_schema_upgrade=True)
incompatible = mock.MagicMock(spec=bigquery.Table)
incompatible.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP", mode="REQUIRED")
]
incompatible.labels = {}
plugin.client.get_table.side_effect = [
cloud_exceptions.NotFound("not found"),
incompatible,
]
plugin.client.create_table.side_effect = cloud_exceptions.Conflict(
"already exists"
)
plugin._ensure_schema_exists()
assert plugin.client.get_table.call_count == 2
plugin.client.update_table.assert_called_once()
updated_names = {
f.name for f in plugin.client.update_table.call_args[0][0].schema
}
assert "event_type" in updated_names
def test_create_table_conflict_refetch_failure_propagates(self):
"""If the post-Conflict readiness check fails, setup must fail so
_ensure_started retries later.
"""
plugin = self._make_plugin(auto_schema_upgrade=True)
plugin.client.get_table.side_effect = [
cloud_exceptions.NotFound("not found"),
cloud_exceptions.ServiceUnavailable("control plane down"),
]
plugin.client.create_table.side_effect = cloud_exceptions.Conflict(
"already exists"
)
with pytest.raises(cloud_exceptions.ServiceUnavailable):
plugin._ensure_schema_exists()
class TestToolProvenance:
"""Tests for _get_tool_origin helper."""
def test_function_tool_returns_local(self):
from google.adk.tools.function_tool import FunctionTool
def dummy():
pass
tool = FunctionTool(dummy)
result = bigquery_agent_analytics_plugin._get_tool_origin(tool)
assert result == "LOCAL"
def test_agent_tool_returns_sub_agent(self):
from google.adk.tools.agent_tool import AgentTool
agent = mock.MagicMock()
agent.name = "sub"
tool = AgentTool.__new__(AgentTool)
tool.agent = agent
tool._name = "sub"
result = bigquery_agent_analytics_plugin._get_tool_origin(tool)
assert result == "SUB_AGENT"
def test_transfer_tool_returns_transfer_agent(self):
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
tool = TransferToAgentTool(agent_names=["other"])
result = bigquery_agent_analytics_plugin._get_tool_origin(tool)
assert result == "TRANSFER_AGENT"
def test_transfer_tool_without_args_returns_transfer_agent(self):
"""TransferToAgentTool without tool_args falls back to TRANSFER_AGENT."""
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
tool = TransferToAgentTool(agent_names=["remote_a2a"])
result = bigquery_agent_analytics_plugin._get_tool_origin(
tool, tool_args=None, tool_context=None
)
assert result == "TRANSFER_AGENT"
def test_transfer_to_remote_a2a_sub_agent_returns_transfer_a2a(self):
"""Transfer to a RemoteA2aAgent sub-agent is classified TRANSFER_A2A."""
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
try:
from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
except ImportError:
pytest.skip("A2A agent not available")
remote_agent = mock.MagicMock(spec=RemoteA2aAgent)
remote_agent.name = "remote_a2a"
current_agent = mock.MagicMock()
current_agent.name = "root"
current_agent.sub_agents = [remote_agent]
current_agent.parent_agent = None
inv_ctx = mock.MagicMock()
inv_ctx.agent = current_agent
tool_context = mock.MagicMock()
tool_context._invocation_context = inv_ctx
tool = TransferToAgentTool(agent_names=["remote_a2a"])
result = bigquery_agent_analytics_plugin._get_tool_origin(
tool,
tool_args={"agent_name": "remote_a2a"},
tool_context=tool_context,
)
assert result == "TRANSFER_A2A"
def test_transfer_to_local_sub_agent_returns_transfer_agent(self):
"""Transfer to a local sub-agent is still classified TRANSFER_AGENT."""
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
local_agent = mock.MagicMock()
local_agent.name = "local_sub"
current_agent = mock.MagicMock()
current_agent.name = "root"
current_agent.sub_agents = [local_agent]
current_agent.parent_agent = None
inv_ctx = mock.MagicMock()
inv_ctx.agent = current_agent
tool_context = mock.MagicMock()
tool_context._invocation_context = inv_ctx
tool = TransferToAgentTool(agent_names=["local_sub"])
result = bigquery_agent_analytics_plugin._get_tool_origin(
tool,
tool_args={"agent_name": "local_sub"},
tool_context=tool_context,
)
assert result == "TRANSFER_AGENT"
def test_transfer_to_a2a_peer_returns_transfer_a2a(self):
"""Transfer to a RemoteA2aAgent peer is classified TRANSFER_A2A."""
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
try:
from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
except ImportError:
pytest.skip("A2A agent not available")
remote_peer = mock.MagicMock(spec=RemoteA2aAgent)
remote_peer.name = "remote_peer"
current_agent = mock.MagicMock()
current_agent.name = "child"
current_agent.sub_agents = []
parent_agent = mock.MagicMock()
parent_agent.name = "parent"
parent_agent.sub_agents = [current_agent, remote_peer]
current_agent.parent_agent = parent_agent
inv_ctx = mock.MagicMock()
inv_ctx.agent = current_agent
tool_context = mock.MagicMock()
tool_context._invocation_context = inv_ctx
tool = TransferToAgentTool(
agent_names=["remote_peer"],
)
result = bigquery_agent_analytics_plugin._get_tool_origin(
tool,
tool_args={"agent_name": "remote_peer"},
tool_context=tool_context,
)
assert result == "TRANSFER_A2A"
def test_transfer_mixed_targets_classifies_per_call(self):
"""A single TransferToAgentTool with mixed targets classifies per call."""
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
try:
from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
except ImportError:
pytest.skip("A2A agent not available")
remote_agent = mock.MagicMock(spec=RemoteA2aAgent)
remote_agent.name = "remote_a2a"
local_agent = mock.MagicMock()
local_agent.name = "local_sub"
current_agent = mock.MagicMock()
current_agent.name = "root"
current_agent.sub_agents = [remote_agent, local_agent]
current_agent.parent_agent = None
inv_ctx = mock.MagicMock()
inv_ctx.agent = current_agent
tool_context = mock.MagicMock()
tool_context._invocation_context = inv_ctx
tool = TransferToAgentTool(
agent_names=["remote_a2a", "local_sub"],
)
# Transfer to remote target → TRANSFER_A2A
result = bigquery_agent_analytics_plugin._get_tool_origin(
tool,
tool_args={"agent_name": "remote_a2a"},
tool_context=tool_context,
)
assert result == "TRANSFER_A2A"
# Transfer to local target → TRANSFER_AGENT
result = bigquery_agent_analytics_plugin._get_tool_origin(
tool,
tool_args={"agent_name": "local_sub"},
tool_context=tool_context,
)
assert result == "TRANSFER_AGENT"
@pytest.mark.asyncio
async def test_tool_error_callback_classifies_a2a_transfer(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""on_tool_error_callback produces TRANSFER_A2A for RemoteA2aAgent."""
from google.adk.tools.transfer_to_agent_tool import TransferToAgentTool
try:
from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
except ImportError:
pytest.skip("A2A agent not available")
remote_agent = mock.MagicMock(spec=RemoteA2aAgent)
remote_agent.name = "remote_a2a"
mock_agent = mock.MagicMock(spec=base_agent.BaseAgent)
mock_agent.name = "root"
mock_agent.instruction = ""
mock_agent.sub_agents = [remote_agent]
mock_agent.parent_agent = None
mock_s = mock.create_autospec(
session_lib.Session, instance=True, spec_set=True
)
type(mock_s).id = mock.PropertyMock(return_value="sess-1")
type(mock_s).user_id = mock.PropertyMock(return_value="user-1")
type(mock_s).app_name = mock.PropertyMock(return_value="test_app")
type(mock_s).state = mock.PropertyMock(return_value={})
inv_ctx = InvocationContext(
agent=mock_agent,
session=mock_s,
invocation_id="inv-err",
session_service=mock.create_autospec(
base_session_service_lib.BaseSessionService,
instance=True,
spec_set=True,
),
plugin_manager=mock.create_autospec(
plugin_manager_lib.PluginManager,
instance=True,
spec_set=True,
),
)
tool_ctx = tool_context_lib.ToolContext(invocation_context=inv_ctx)
tool = TransferToAgentTool(agent_names=["remote_a2a"])
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(tool_ctx, "tool")
await plugin.on_tool_error_callback(
tool=tool,
tool_args={"agent_name": "remote_a2a"},
tool_context=tool_ctx,
error=RuntimeError("connection refused"),
)
await plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
assert len(rows) == 1
assert rows[0]["event_type"] == "TOOL_ERROR"
content = json.loads(rows[0]["content"])
assert content["tool_origin"] == "TRANSFER_A2A"
def test_mcp_tool_returns_mcp(self):
try:
from google.adk.tools.mcp_tool.mcp_tool import McpTool
except ImportError:
pytest.skip("MCP not installed")
tool = McpTool.__new__(McpTool)
result = bigquery_agent_analytics_plugin._get_tool_origin(tool)
assert result == "MCP"
def test_a2a_agent_tool_returns_a2a(self):
from google.adk.tools.agent_tool import AgentTool
try:
from google.adk.agents.remote_a2a_agent import RemoteA2aAgent
except ImportError:
pytest.skip("A2A agent not available")
remote_agent = mock.MagicMock(spec=RemoteA2aAgent)
remote_agent.name = "remote"
remote_agent.description = "remote a2a agent"
tool = AgentTool.__new__(AgentTool)
tool.agent = remote_agent
tool._name = "remote"
result = bigquery_agent_analytics_plugin._get_tool_origin(tool)
assert result == "A2A"
def test_unknown_tool_returns_unknown(self):
tool = mock.MagicMock(spec=base_tool_lib.BaseTool)
tool.name = "mystery"
result = bigquery_agent_analytics_plugin._get_tool_origin(tool)
assert result == "UNKNOWN"
class TestHITLTracing:
"""Tests for HITL-specific event emission via on_event_callback.
HITL events (``adk_request_credential``, ``adk_request_confirmation``,
``adk_request_input``) are synthetic function calls injected by the
framework — they never pass through ``before_tool_callback`` /
``after_tool_callback``. Detection therefore lives in
``on_event_callback``, which inspects the event stream for these
function calls and their corresponding function responses.
"""
def _make_fc_event(self, fc_name, args=None):
"""Build a mock Event containing a function call."""
event = mock.MagicMock(spec=event_lib.Event)
fc = types.FunctionCall(name=fc_name, args=args or {})
part = types.Part(function_call=fc)
event.content = types.Content(role="model", parts=[part])
event.actions = event_actions_lib.EventActions()
# Pydantic fields are not in the spec; without this, on_event_callback
# raises AttributeError and _safe_callback hides the truncation.
event.partial = None
return event
def _make_fr_event(self, fr_name, response=None):
"""Build a mock Event containing a function response."""
event = mock.MagicMock(spec=event_lib.Event)
fr = types.FunctionResponse(name=fr_name, response=response or {})
part = types.Part(function_response=fr)
event.content = types.Content(role="user", parts=[part])
event.actions = event_actions_lib.EventActions()
# Pydantic fields are not in the spec; without this, on_event_callback
# raises AttributeError and _safe_callback hides the truncation.
event.partial = None
return event
@pytest.mark.asyncio
async def test_hitl_confirmation_emits_additional_event(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
event = self._make_fc_event("adk_request_confirmation", {"confirm": True})
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "HITL_CONFIRMATION_REQUEST" in event_types
@pytest.mark.asyncio
async def test_hitl_credential_emits_additional_event(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
event = self._make_fc_event("adk_request_credential", {"auth": "oauth2"})
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "HITL_CREDENTIAL_REQUEST" in event_types
@pytest.mark.asyncio
async def test_hitl_completion_emits_additional_event(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
event = self._make_fr_event("adk_request_confirmation", {"confirmed": True})
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "HITL_CONFIRMATION_REQUEST_COMPLETED" in event_types
@pytest.mark.asyncio
async def test_regular_tool_no_hitl_event(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
caplog,
):
event = self._make_fc_event("regular_tool", {"x": 1})
with caplog.at_level(logging.ERROR):
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
# _safe_callback swallows callback exceptions, so an empty row set does
# not by itself prove the callback ran; a truncated one emits none either.
assert "plugin error in on_event_callback" not in caplog.text
# No HITL events should be emitted for non-HITL function calls.
# on_event_callback only logs STATE_DELTA and HITL events; a regular
# function call produces neither.
assert mock_write_client.append_rows.call_count == 0
# ==============================================================================
# TEST CLASS: Span Hierarchy Isolation
# ==============================================================================
class TestSpanHierarchyIsolation:
"""Regression tests for span hierarchy isolation.
``push_span()`` must NOT attach its span to the ambient OTel context.
If it does, any subsequent ``tracer.start_as_current_span()`` in the
framework (e.g. ``call_llm``, ``execute_tool``) will be incorrectly
re-parented under the plugin's span.
"""
def test_push_span_does_not_change_ambient_context(self, callback_context):
"""push_span must not mutate the current OTel span."""
span_before = trace.get_current_span()
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "test_span"
)
span_after = trace.get_current_span()
assert span_after is span_before
# Cleanup
bigquery_agent_analytics_plugin.TraceManager.pop_span()
def test_attach_current_span_does_not_change_ambient_context(
self, callback_context
):
"""attach_current_span must not mutate the current OTel span."""
span_before = trace.get_current_span()
bigquery_agent_analytics_plugin.TraceManager.attach_current_span(
callback_context
)
span_after = trace.get_current_span()
assert span_after is span_before
# Cleanup
bigquery_agent_analytics_plugin.TraceManager.pop_span()
def test_pop_span_does_not_change_ambient_context(self, callback_context):
"""pop_span must not mutate the current OTel span."""
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "test_span"
)
span_before = trace.get_current_span()
bigquery_agent_analytics_plugin.TraceManager.pop_span()
span_after = trace.get_current_span()
assert span_after is span_before
def test_push_span_with_real_tracer_does_not_reparent(self, callback_context):
"""With a real OTel tracer, plugin spans must not become parents
of subsequently created framework spans.
"""
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
exporter = InMemorySpanExporter()
provider = TracerProvider()
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
provider.add_span_processor(SimpleSpanProcessor(exporter))
framework_tracer = provider.get_tracer("test-framework")
# Simulate: plugin pushes a span BEFORE the framework span
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "llm_request"
)
# Framework creates its own span via start_as_current_span
with framework_tracer.start_as_current_span("call_llm") as fw_span:
fw_context = fw_span.get_span_context()
# Pop the plugin span
bigquery_agent_analytics_plugin.TraceManager.pop_span()
provider.shutdown()
# Verify the framework span was NOT re-parented under the
# plugin's llm_request span
finished = exporter.get_finished_spans()
call_llm_spans = [s for s in finished if s.name == "call_llm"]
assert len(call_llm_spans) == 1
fw_finished = call_llm_spans[0]
# The framework span's parent should NOT be the plugin's
# llm_request span. With the fix, the plugin never
# attaches to the ambient context, so ``call_llm`` will
# have whatever parent existed before (None in this test).
assert fw_finished.parent is None
def test_multiple_push_pop_cycles_leave_context_clean(self, callback_context):
"""Multiple push/pop cycles must not leak context changes."""
original_span = trace.get_current_span()
for _ in range(5):
bigquery_agent_analytics_plugin.TraceManager.push_span(
callback_context, "cycle_span"
)
bigquery_agent_analytics_plugin.TraceManager.pop_span()
assert trace.get_current_span() is original_span
# ==============================================================================
# TEST CLASS: End-to-End HITL Tracing via Runner
# ==============================================================================
def _hitl_my_action(
tool_context: tool_context_lib.ToolContext,
) -> dict[str, str]:
"""Tool function used by HITL end-to-end tests."""
return {"result": f"confirmed={tool_context.tool_confirmation.confirmed}"}
class TestHITLTracingEndToEnd:
"""End-to-end tests that run the full Runner + Plugin pipeline with
``FunctionTool(require_confirmation=True)`` and verify that HITL events
are logged alongside normal TOOL_* events in the BQ analytics plugin.
"""
@pytest.fixture
def _mock_bq_infra(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""Bundle all BQ mocking fixtures."""
yield mock_write_client
@pytest.mark.asyncio
async def test_confirmation_flow_emits_hitl_events(
self,
_mock_bq_infra,
dummy_arrow_schema,
):
"""Full Runner pipeline: tool with require_confirmation emits
HITL_CONFIRMATION_REQUEST and HITL_CONFIRMATION_REQUEST_COMPLETED.
"""
from google.adk.flows.llm_flows.functions import REQUEST_CONFIRMATION_FUNCTION_CALL_NAME
from google.adk.tools.function_tool import FunctionTool
from google.genai.types import FunctionCall
from google.genai.types import FunctionResponse
from google.genai.types import Part
from .. import testing_utils
mock_write_client = _mock_bq_infra
tool = FunctionTool(func=_hitl_my_action, require_confirmation=True)
# -- Mock LLM: first response calls the tool, second is final text --
llm_responses = [
testing_utils.LlmResponse(
content=testing_utils.ModelContent(
parts=[
Part(function_call=FunctionCall(name=tool.name, args={}))
]
)
),
testing_utils.LlmResponse(
content=testing_utils.ModelContent(
parts=[Part(text="Done, action confirmed.")]
)
),
]
mock_model = testing_utils.MockModel(responses=llm_responses)
# -- Build the plugin --
bq_plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
await bq_plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
# -- Build agent + runner WITH the plugin --
from google.adk.agents.llm_agent import LlmAgent
agent = LlmAgent(name="hitl_agent", model=mock_model, tools=[tool])
runner = testing_utils.InMemoryRunner(root_agent=agent, plugins=[bq_plugin])
try:
# -- Turn 1: user query → LLM calls tool → HITL pause --
events_turn1 = await runner.run_async(
testing_utils.UserContent("run my_action")
)
# Find the adk_request_confirmation function call
confirmation_fc_id = None
for ev in events_turn1:
if ev.content and ev.content.parts:
for part in ev.content.parts:
if (
hasattr(part, "function_call")
and part.function_call
and part.function_call.name
== REQUEST_CONFIRMATION_FUNCTION_CALL_NAME
):
confirmation_fc_id = part.function_call.id
break
if confirmation_fc_id:
break
assert (
confirmation_fc_id is not None
), "Expected adk_request_confirmation function call in turn 1"
# -- Turn 2: user sends confirmation → tool re-executes --
user_confirmation = testing_utils.UserContent(
Part(
function_response=FunctionResponse(
id=confirmation_fc_id,
name=REQUEST_CONFIRMATION_FUNCTION_CALL_NAME,
response={"confirmed": True},
)
)
)
events_turn2 = await runner.run_async(user_confirmation)
# -- Deterministically wait for the async BQ writer to drain --
await bq_plugin.flush()
# -- Collect all BQ rows --
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
event_types = [r["event_type"] for r in rows]
# -- Verify standard events are present --
assert "TOOL_STARTING" in event_types
assert "TOOL_COMPLETED" in event_types
# -- Verify HITL-specific events are present --
assert (
"HITL_CONFIRMATION_REQUEST" in event_types
), f"Expected HITL_CONFIRMATION_REQUEST in {event_types}"
assert (
"HITL_CONFIRMATION_REQUEST_COMPLETED" in event_types
), f"Expected HITL_CONFIRMATION_REQUEST_COMPLETED in {event_types}"
# -- Verify HITL events have correct tool name in content --
hitl_rows = [r for r in rows if r["event_type"].startswith("HITL_")]
for row in hitl_rows:
content = json.loads(row["content"]) if row["content"] else {}
assert content.get("tool") == "adk_request_confirmation", (
"HITL event should reference 'adk_request_confirmation',"
f" got {content.get('tool')}"
)
finally:
await bq_plugin.shutdown()
@pytest.mark.asyncio
async def test_regular_tool_does_not_emit_hitl_events(
self,
_mock_bq_infra,
dummy_arrow_schema,
):
"""A tool WITHOUT require_confirmation should not produce HITL events."""
from google.adk.tools.function_tool import FunctionTool
from google.genai.types import FunctionCall
from google.genai.types import Part
from .. import testing_utils
mock_write_client = _mock_bq_infra
def regular_tool() -> str:
return "done"
tool = FunctionTool(func=regular_tool)
llm_responses = [
testing_utils.LlmResponse(
content=testing_utils.ModelContent(
parts=[
Part(function_call=FunctionCall(name=tool.name, args={}))
]
)
),
testing_utils.LlmResponse(
content=testing_utils.ModelContent(parts=[Part(text="All done.")])
),
]
mock_model = testing_utils.MockModel(responses=llm_responses)
bq_plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
await bq_plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
from google.adk.agents.llm_agent import LlmAgent
agent = LlmAgent(name="regular_agent", model=mock_model, tools=[tool])
runner = testing_utils.InMemoryRunner(root_agent=agent, plugins=[bq_plugin])
try:
await runner.run_async(testing_utils.UserContent("run regular_tool"))
await bq_plugin.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
event_types = [r["event_type"] for r in rows]
# Standard tool events should be present
assert "TOOL_STARTING" in event_types
assert "TOOL_COMPLETED" in event_types
# No HITL events
hitl_events = [et for et in event_types if et.startswith("HITL_")]
assert (
hitl_events == []
), f"Expected no HITL events for regular tool, got {hitl_events}"
finally:
await bq_plugin.shutdown()
# ==============================================================================
# Fork-Safety Tests
# ==============================================================================
class TestForkSafety:
"""Tests for fork-safety via PID tracking."""
def _make_plugin(self):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
return plugin
@pytest.mark.asyncio
async def test_pid_change_triggers_reinit(
self, mock_auth_default, mock_bq_client, mock_write_client
):
"""Simulating a fork by changing _init_pid forces re-init."""
plugin = self._make_plugin()
await plugin._ensure_started()
assert plugin._started is True
# Simulate a fork: set _init_pid to a stale value
plugin._init_pid = -1
assert plugin._started is True # still True before check
# _ensure_started should detect PID mismatch and reset
await plugin._ensure_started()
# After reset + re-init, _init_pid should match current
assert plugin._init_pid == os.getpid()
assert plugin._started is True
await plugin.shutdown()
@pytest.mark.asyncio
async def test_pid_unchanged_skips_reset(
self, mock_auth_default, mock_bq_client, mock_write_client
):
"""Same PID should not trigger a reset."""
plugin = self._make_plugin()
await plugin._ensure_started()
# Save references to verify they are not recreated
original_client = plugin.client
original_parser = plugin.parser
await plugin._ensure_started()
assert plugin.client is original_client
assert plugin.parser is original_parser
await plugin.shutdown()
def test_reset_runtime_state_clears_fields(self):
"""_reset_runtime_state clears all runtime fields."""
plugin = self._make_plugin()
# Fake some runtime state
plugin._started = True
plugin._is_shutting_down = True
plugin.client = mock.MagicMock()
plugin._loop_state_by_loop = {"fake": "state"}
plugin._write_stream_name = "some/stream"
plugin._executor = mock.MagicMock()
plugin.offloader = mock.MagicMock()
plugin.parser = mock.MagicMock()
plugin._setup_future = mock.MagicMock()
# Keep pure-data fields
plugin._schema = ["kept"]
plugin.arrow_schema = "kept_arrow"
plugin._reset_runtime_state()
assert plugin._started is False
assert plugin._is_shutting_down is False
assert plugin.client is None
assert plugin._loop_state_by_loop == {}
assert plugin._write_stream_name is None
assert plugin._executor is None
assert plugin.offloader is None
assert plugin.parser is None
assert plugin._setup_future is None
# Pure-data fields are preserved
assert plugin._schema == ["kept"]
assert plugin.arrow_schema == "kept_arrow"
assert plugin._init_pid == os.getpid()
def test_getstate_resets_pid(self):
"""Pickle state should have _init_pid = 0 to force re-init."""
plugin = self._make_plugin()
state = plugin.__getstate__()
assert state["_init_pid"] == 0
assert state["_started"] is False
@pytest.mark.asyncio
async def test_unpickle_legacy_state_missing_init_pid(
self, mock_auth_default, mock_bq_client, mock_write_client
):
"""Unpickling state from older code without _init_pid should not crash."""
plugin = self._make_plugin()
state = plugin.__getstate__()
# Simulate legacy pickle state that lacks _init_pid entirely
del state["_init_pid"]
new_plugin = (
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin.__new__(
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin
)
)
new_plugin.__setstate__(state)
# _init_pid should be backfilled to 0, triggering re-init
assert new_plugin._init_pid == 0
# _ensure_started should not raise AttributeError
await new_plugin._ensure_started()
assert new_plugin._started is True
await new_plugin.shutdown()
class TestForkGrpcSafety:
"""Tests for gRPC fork safety enhancements."""
def _make_plugin(self):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
return bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
def test_grpc_fork_env_var_set(self):
"""GRPC_ENABLE_FORK_SUPPORT should be '1' after import."""
assert os.environ.get("GRPC_ENABLE_FORK_SUPPORT") == "1"
def test_register_at_fork_resets_all_instances(self):
"""_after_fork_in_child resets all living plugin instances."""
p1 = self._make_plugin()
p2 = self._make_plugin()
p1._started = True
p2._started = True
p1._init_pid = -1
p2._init_pid = -1
bigquery_agent_analytics_plugin._after_fork_in_child()
assert p1._started is False
assert p2._started is False
assert p1._init_pid == os.getpid()
assert p2._init_pid == os.getpid()
def test_dead_plugin_removed_from_live_set(self):
"""WeakSet should not hold dead plugin references."""
p = self._make_plugin()
assert p in bigquery_agent_analytics_plugin._LIVE_PLUGINS
pid = id(p)
del p
# After deletion, the WeakSet should no longer contain it.
for alive in bigquery_agent_analytics_plugin._LIVE_PLUGINS:
assert id(alive) != pid
def test_reset_closes_inherited_sync_transports(self):
"""_reset_runtime_state closes inherited sync gRPC channels."""
plugin = self._make_plugin()
mock_channel = mock.MagicMock()
mock_channel.close.return_value = None # sync close
mock_transport = mock.MagicMock()
mock_transport._grpc_channel = mock_channel
mock_wc = mock.MagicMock()
mock_wc.transport = mock_transport
mock_loop_state = mock.MagicMock()
mock_loop_state.write_client = mock_wc
plugin._loop_state_by_loop = {mock.MagicMock(): mock_loop_state}
plugin._init_pid = -1
plugin._reset_runtime_state()
mock_channel.close.assert_called_once()
def test_reset_discards_async_channel_close_coroutine(self):
"""Async channel close() returns a coroutine; must not warn."""
import warnings
plugin = self._make_plugin()
async def _async_close():
pass
mock_channel = mock.MagicMock()
mock_channel.close.return_value = _async_close()
mock_transport = mock.MagicMock()
mock_transport._grpc_channel = mock_channel
mock_wc = mock.MagicMock()
mock_wc.transport = mock_transport
mock_loop_state = mock.MagicMock()
mock_loop_state.write_client = mock_wc
plugin._loop_state_by_loop = {mock.MagicMock(): mock_loop_state}
plugin._init_pid = -1
with warnings.catch_warnings():
warnings.simplefilter("error", RuntimeWarning)
# Must not raise RuntimeWarning for unawaited coroutine
plugin._reset_runtime_state()
mock_channel.close.assert_called_once()
def test_transport_close_exception_swallowed(self):
"""close() raising should not prevent reset from completing."""
plugin = self._make_plugin()
mock_channel = mock.MagicMock()
mock_channel.close.side_effect = RuntimeError("broken channel")
mock_transport = mock.MagicMock()
mock_transport._grpc_channel = mock_channel
mock_wc = mock.MagicMock()
mock_wc.transport = mock_transport
mock_loop_state = mock.MagicMock()
mock_loop_state.write_client = mock_wc
plugin._loop_state_by_loop = {mock.MagicMock(): mock_loop_state}
plugin._init_pid = -1
# Should not raise
plugin._reset_runtime_state()
assert plugin._started is False
assert plugin._loop_state_by_loop == {}
def test_reset_logs_fork_warning(self):
"""_reset_runtime_state logs a warning with 'Fork detected'."""
plugin = self._make_plugin()
plugin._init_pid = -1
with mock.patch.object(
bigquery_agent_analytics_plugin.logger, "warning"
) as mock_warn:
plugin._reset_runtime_state()
mock_warn.assert_called_once()
assert "Fork detected" in mock_warn.call_args[0][0]
# ==============================================================================
# Analytics Views Tests
# ==============================================================================
class TestAnalyticsViews:
"""Tests for auto-created per-event-type BigQuery views."""
def _make_plugin(self, create_views=True, view_prefix="v", table_id=TABLE_ID):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
create_views=create_views,
view_prefix=view_prefix,
)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=table_id,
config=config,
)
plugin.client = mock.MagicMock()
plugin.full_table_id = f"{PROJECT_ID}.{DATASET_ID}.{table_id}"
plugin._schema = bigquery_agent_analytics_plugin._get_events_schema()
return plugin
def test_views_created_on_new_table(self):
"""NotFound path creates all views."""
plugin = self._make_plugin(create_views=True)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
expected_count = len(bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS)
assert plugin.client.query.call_count == expected_count
def test_views_created_for_existing_table(self):
"""Existing table path also creates views."""
plugin = self._make_plugin(create_views=True)
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = plugin._schema
existing.labels = {
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY: (
bigquery_agent_analytics_plugin._SCHEMA_VERSION
),
}
plugin.client.get_table.return_value = existing
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
expected_count = len(bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS)
assert plugin.client.query.call_count == expected_count
def test_views_not_created_when_disabled(self):
"""create_views=False skips view creation."""
plugin = self._make_plugin(create_views=False)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
plugin._ensure_schema_exists()
plugin.client.query.assert_not_called()
def test_view_creation_error_logged_not_raised(self):
"""Errors during view creation don't crash the plugin."""
plugin = self._make_plugin(create_views=True)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
plugin.client.query.side_effect = Exception("BQ error")
# Should not raise
plugin._ensure_schema_exists()
# Verify it tried to create views (and failed gracefully)
assert plugin.client.query.call_count > 0
def test_view_sql_contains_correct_event_filter(self):
"""Each SQL has correct WHERE clause and view name."""
plugin = self._make_plugin(create_views=True)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
calls = plugin.client.query.call_args_list
for call in calls:
sql = call[0][0]
# Each SQL should have CREATE OR REPLACE VIEW
assert "CREATE OR REPLACE VIEW" in sql
# Each SQL should filter by event_type
assert "WHERE" in sql
assert "event_type = " in sql
# View name should start with v_
assert ".v_" in sql
# Verify specific views exist
all_sql = " ".join(c[0][0] for c in calls)
for event_type in bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS:
view_name = "v_" + event_type.lower()
assert view_name in all_sql, f"View {view_name} not found in SQL"
def test_error_views_contain_traceback_column(self):
"""AGENT_ERROR and INVOCATION_ERROR views include error_traceback."""
plugin = self._make_plugin(create_views=True)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
calls = plugin.client.query.call_args_list
all_sqls = {c[0][0] for c in calls}
agent_error_sqls = [s for s in all_sqls if "v_agent_error" in s]
assert len(agent_error_sqls) == 1
assert "error_traceback" in agent_error_sqls[0]
assert "total_ms" in agent_error_sqls[0]
inv_error_sqls = [s for s in all_sqls if "v_invocation_error" in s]
assert len(inv_error_sqls) == 1
assert "error_traceback" in inv_error_sqls[0]
def test_llm_response_view_exposes_token_usage_columns(self):
"""LLM_RESPONSE view surfaces cached/thinking/tool-use token columns.
These are read from the full ``usage_metadata`` proto that is already
logged to ``attributes.usage_metadata``, so they are sourced from
``attributes`` rather than the ``content.usage`` summary.
"""
plugin = self._make_plugin(create_views=True)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
plugin.client.query.return_value = mock.MagicMock()
plugin._ensure_schema_exists()
all_sql = " ".join(c[0][0] for c in plugin.client.query.call_args_list)
assert "usage_cached_tokens" in all_sql
assert "usage_thinking_tokens" in all_sql
assert "usage_tool_use_tokens" in all_sql
assert "$.usage_metadata.thoughts_token_count" in all_sql
assert "$.usage_metadata.tool_use_prompt_token_count" in all_sql
def test_llm_response_view_exposes_finish_reason(self):
"""LLM_RESPONSE views expose the termination reason as a typed column."""
columns = bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS["LLM_RESPONSE"]
assert (
"JSON_VALUE(attributes, '$.finish_reason') AS finish_reason" in columns
)
@pytest.mark.parametrize("event_type", ["NODE_OUTPUT", "NODE_ERROR"])
def test_node_views_expose_workflow_identity(self, event_type):
"""Workflow-node views expose stable node identity columns."""
columns = bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS[event_type]
assert "JSON_VALUE(attributes, '$.adk.node.path') AS node_path" in columns
assert (
"JSON_VALUE(attributes, '$.adk.node.run_id') AS node_run_id" in columns
)
def test_config_create_views_default_true(self):
"""Config create_views defaults to True."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
assert config.create_views is True
assert config.view_prefix == "v"
@pytest.mark.asyncio
async def test_create_analytics_views_ensures_started(
self, mock_auth_default, mock_bq_client, mock_write_client
):
"""Public create_analytics_views() initializes plugin first."""
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
assert plugin._started is False
await plugin.create_analytics_views()
# Plugin should be started after the call
assert plugin._started is True
# Views should have been created (query called)
expected_count = len(bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS)
# _ensure_schema_exists also creates views, so total calls
# = schema-creation views + explicit views
assert mock_bq_client.query.call_count >= expected_count
await plugin.shutdown()
def test_views_not_created_after_table_creation_failure(self):
"""create_table failure raises (fail setup) and skips views."""
plugin = self._make_plugin(create_views=True)
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
plugin.client.create_table.side_effect = RuntimeError("BQ down")
# Table readiness is a startup requirement: the failure propagates so
# _ensure_started keeps _started=False and retries later, instead of
# marking the plugin started against a missing table.
with pytest.raises(RuntimeError, match="BQ down"):
plugin._ensure_schema_exists()
# Views should NOT be attempted since table creation failed
plugin.client.query.assert_not_called()
@pytest.mark.asyncio
async def test_create_analytics_views_raises_on_startup_failure(
self, mock_auth_default, mock_write_client
):
"""create_analytics_views() raises if plugin init fails."""
# Make the BQ Client constructor raise so _lazy_setup fails
# before _started is set to True.
with mock.patch.object(
bigquery, "Client", side_effect=Exception("client boom")
):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
with pytest.raises(
RuntimeError, match="Plugin initialization failed"
) as exc_info:
await plugin.create_analytics_views()
# Root cause should be chained for debuggability
assert exc_info.value.__cause__ is not None
assert "client boom" in str(exc_info.value.__cause__)
def test_custom_view_prefix(self):
"""Custom view_prefix namespaces view names."""
plugin = self._make_plugin(view_prefix="v_staging")
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
calls = plugin.client.query.call_args_list
all_sql = " ".join(c[0][0] for c in calls)
# All views should use the custom prefix
for event_type in bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS:
expected_name = "v_staging_" + event_type.lower()
assert expected_name in all_sql, f"View {expected_name} not found in SQL"
# Default prefix should NOT appear
assert ".v_llm_request" not in all_sql
def test_default_view_prefix_preserves_names(self):
"""Default view_prefix='v' produces the same names as before."""
plugin = self._make_plugin() # default view_prefix="v"
plugin.client.get_table.side_effect = cloud_exceptions.NotFound("not found")
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
calls = plugin.client.query.call_args_list
all_sql = " ".join(c[0][0] for c in calls)
for event_type in bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS:
view_name = "v_" + event_type.lower()
assert view_name in all_sql
def test_distinct_tables_and_prefixes_no_collision(self):
"""Two plugins targeting different tables produce disjoint views."""
plugin_a = self._make_plugin(
table_id="agent_events_prod", view_prefix="v_prod"
)
plugin_b = self._make_plugin(
table_id="agent_events_staging", view_prefix="v_staging"
)
for plugin in (plugin_a, plugin_b):
plugin.client.get_table.side_effect = cloud_exceptions.NotFound(
"not found"
)
mock_query_job = mock.MagicMock()
plugin.client.query.return_value = mock_query_job
plugin._ensure_schema_exists()
sql_a = " ".join(c[0][0] for c in plugin_a.client.query.call_args_list)
sql_b = " ".join(c[0][0] for c in plugin_b.client.query.call_args_list)
# View names use their own prefix
assert "v_prod_llm_request" in sql_a
assert "v_staging_llm_request" in sql_b
# No cross-contamination
assert "v_staging_" not in sql_a
assert "v_prod_" not in sql_b
# FROM clauses point at the correct table
assert "agent_events_prod" in sql_a
assert "agent_events_staging" not in sql_a
assert "agent_events_staging" in sql_b
assert "agent_events_prod" not in sql_b
def test_empty_view_prefix_raises(self):
"""Empty view_prefix is rejected at init."""
with pytest.raises(ValueError, match="view_prefix"):
self._make_plugin(view_prefix="")
# ==============================================================================
# Trace-ID Continuity Tests
# ==============================================================================
class TestTraceIdContinuity:
"""Tests for trace_id continuity across all events in an invocation.
When there is no ambient OTel span (e.g. Agent Engine, custom runners),
early events (USER_MESSAGE_RECEIVED, INVOCATION_STARTING) used to fall
back to ``invocation_id`` while AGENT_STARTING got a new OTel hex
trace_id from ``push_span()``. The ``ensure_invocation_span()`` fix
guarantees a root span is always on the stack before any events fire.
"""
@pytest.mark.asyncio
async def test_trace_id_continuity_no_ambient_span(self, callback_context):
"""All events share one trace_id when no ambient OTel span exists.
Simulates the broken-continuity scenario: OTel IS configured (real
TracerProvider) but the Runner's ambient span is NOT present (e.g. Agent
Engine, custom runners).
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
# Wire a real TracerProvider with an in-memory exporter so we can
# also assert the plugin path does NOT export anything through it.
# (push_span no longer creates OTel spans — see _SpanRecord; the
# exporter is here as a regression guard, not a span source.)
exporter = InMemorySpanExporter()
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test-plugin")
# Reset the span records contextvar for a clean invocation.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# No ambient OTel span — we do NOT start_as_current_span.
ambient = trace.get_current_span()
assert not ambient.get_span_context().is_valid
# ensure_invocation_span should push a new span.
TM.ensure_invocation_span(callback_context)
trace_id_early = TM.get_trace_id(callback_context)
assert trace_id_early is not None
# Should NOT fall back to invocation_id — it should be
# a 32-char hex OTel trace_id.
assert trace_id_early != callback_context.invocation_id
assert len(trace_id_early) == 32
# Simulate agent callback: push_span("agent")
TM.push_span(callback_context, "agent")
trace_id_agent = TM.get_trace_id(callback_context)
# Both trace_ids must be identical.
assert trace_id_early == trace_id_agent
# Cleanup
TM.pop_span() # agent
TM.pop_span() # invocation
provider.shutdown()
@pytest.mark.asyncio
async def test_invocation_completed_trace_continuity_no_ambient(
self, callback_context
):
"""INVOCATION_COMPLETED must share trace_id with earlier events.
Reproduces the completion-event fracture: after_run_callback pops
the invocation span, then _log_event would resolve trace_id via
the fallback to invocation_id. The trace_id_override ensures the
completion event keeps the same trace_id.
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
exporter = InMemorySpanExporter()
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test-plugin")
# Reset for a clean invocation; no ambient span.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
assert not trace.get_current_span().get_span_context().is_valid
# --- Simulate the full callback lifecycle ---
# 1. before_run / on_user_message: ensure invocation span
TM.ensure_invocation_span(callback_context)
trace_id_start = TM.get_trace_id(callback_context)
# 2. before_agent: push agent span
TM.push_span(callback_context, "agent")
assert TM.get_trace_id(callback_context) == trace_id_start
# 3. after_agent: pop agent span
TM.pop_span()
# 4. after_run: capture trace_id THEN pop invocation span
trace_id_before_pop = TM.get_trace_id(callback_context)
assert trace_id_before_pop == trace_id_start
TM.pop_span()
# After popping, get_trace_id falls back to invocation_id
trace_id_after_pop = TM.get_trace_id(callback_context)
assert trace_id_after_pop == callback_context.invocation_id
# The trace_id_override preserves continuity
assert trace_id_before_pop == trace_id_start
assert trace_id_before_pop != trace_id_after_pop
provider.shutdown()
@pytest.mark.asyncio
async def test_callbacks_emit_same_trace_id_no_ambient(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""Full callback path: all emitted rows share one trace_id.
Exercises the real before_run → before_agent → after_agent →
after_run callback chain via the plugin instance, then checks
every emitted BQ row has the same trace_id.
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
exporter = InMemorySpanExporter()
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test-plugin")
# Reset span records for a clean invocation.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# No ambient span — simulates Agent Engine / custom runner.
assert not trace.get_current_span().get_span_context().is_valid
# Run the full callback lifecycle.
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
# Collect all emitted rows.
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "INVOCATION_STARTING" in event_types
assert "INVOCATION_COMPLETED" in event_types
# Every row must share the same trace_id.
trace_ids = {r["trace_id"] for r in rows}
assert len(trace_ids) == 1, (
"Expected 1 unique trace_id across all events, got"
f" {len(trace_ids)}: {trace_ids}"
)
# Should be a 32-char hex OTel trace, not the invocation_id.
sole_trace_id = trace_ids.pop()
assert sole_trace_id != invocation_context.invocation_id
assert len(sole_trace_id) == 32
provider.shutdown()
@pytest.mark.asyncio
async def test_trace_id_continuity_with_ambient_span(self, callback_context):
"""All events share one trace_id when an ambient OTel span exists."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
# Set up a real OTel tracer.
exporter = InMemorySpanExporter()
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test")
# Reset the span records contextvar.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
with real_tracer.start_as_current_span("runner_invocation"):
ambient = trace.get_current_span()
assert ambient.get_span_context().is_valid
ambient_trace_id = format(ambient.get_span_context().trace_id, "032x")
# ensure_invocation_span should attach the ambient span.
TM.ensure_invocation_span(callback_context)
trace_id_early = TM.get_trace_id(callback_context)
assert trace_id_early == ambient_trace_id
# Simulate agent callback: push_span("agent")
TM.push_span(callback_context, "agent")
trace_id_agent = TM.get_trace_id(callback_context)
assert trace_id_agent == ambient_trace_id
# Cleanup
TM.pop_span() # agent
TM.pop_span() # invocation (attached, not owned)
provider.shutdown()
@pytest.mark.asyncio
async def test_invocation_root_span_isolated_across_turns(
self, callback_context
):
"""Each invocation gets its own root span; turns don't leak."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
exporter = InMemorySpanExporter()
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test")
# --- Turn 1 ---
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
TM.ensure_invocation_span(callback_context)
trace_id_turn1 = TM.get_trace_id(callback_context)
TM.push_span(callback_context, "agent")
assert TM.get_trace_id(callback_context) == trace_id_turn1
TM.pop_span() # agent
TM.pop_span() # invocation
# After popping, the stack should be empty.
records = bigquery_agent_analytics_plugin._span_records_ctx.get()
assert not records
# --- Turn 2 ---
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
TM.ensure_invocation_span(callback_context)
trace_id_turn2 = TM.get_trace_id(callback_context)
TM.push_span(callback_context, "agent")
assert TM.get_trace_id(callback_context) == trace_id_turn2
TM.pop_span() # agent
TM.pop_span() # invocation
# The two turns must have DIFFERENT trace_ids (different
# root spans).
assert trace_id_turn1 != trace_id_turn2
provider.shutdown()
class TestSpanIdConsistency:
"""Tests that STARTING/COMPLETED event pairs share span IDs.
Span-ID resolution contract:
- When OTel is active: BQ rows use the same trace/span/parent IDs as
Cloud Trace (ambient framework spans). STARTING and COMPLETED events
in the same lifecycle share the same span_id.
- When OTel is not active: BQ rows use the plugin's internal span
stack. STARTING gets the current top-of-stack; COMPLETED gets the
popped span.
"""
@pytest.mark.asyncio
async def test_starting_completed_same_span_with_ambient(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""With ambient OTel, STARTING and COMPLETED get the same span_id."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# Simulate the framework's ambient spans.
with real_tracer.start_as_current_span("invocation"):
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
with real_tracer.start_as_current_span("invoke_agent"):
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
agent_starting = [r for r in rows if r["event_type"] == "AGENT_STARTING"]
agent_completed = [r for r in rows if r["event_type"] == "AGENT_COMPLETED"]
assert len(agent_starting) == 1
assert len(agent_completed) == 1
# Both events must share the same span_id (the plugin-internal
# agent span pushed by before_agent_callback and popped by
# after_agent_callback). The lifecycle-pair invariant holds
# regardless of whether the id comes from a plugin-minted hex
# string or an ambient OTel span.
assert agent_starting[0]["span_id"] == agent_completed[0]["span_id"]
assert (
agent_starting[0]["parent_span_id"]
== agent_completed[0]["parent_span_id"]
)
provider.shutdown()
@pytest.mark.asyncio
async def test_starting_completed_use_plugin_span_without_ambient(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""Without ambient OTel, COMPLETED gets the popped plugin span."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# No ambient OTel span.
assert not trace.get_current_span().get_span_context().is_valid
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
agent_starting = [r for r in rows if r["event_type"] == "AGENT_STARTING"]
agent_completed = [r for r in rows if r["event_type"] == "AGENT_COMPLETED"]
assert len(agent_starting) == 1
assert len(agent_completed) == 1
# AGENT_STARTING gets the top-of-stack span; AGENT_COMPLETED
# gets the popped span via override — they should match.
assert agent_starting[0]["span_id"] == agent_completed[0]["span_id"]
provider.shutdown()
@pytest.mark.asyncio
async def test_tool_error_captures_span_id(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
dummy_arrow_schema,
):
"""on_tool_error_callback uses the popped span_id (bonus fix)."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
mock_tool = mock.create_autospec(base_tool_lib.BaseTool, instance=True)
type(mock_tool).name = mock.PropertyMock(return_value="my_tool")
tool_ctx = tool_context_lib.ToolContext(
invocation_context=invocation_context
)
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# No ambient OTel — plugin span stack provides IDs.
assert not trace.get_current_span().get_span_context().is_valid
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
# Push tool span via before_tool_callback
await bq_plugin_inst.before_tool_callback(
tool=mock_tool,
tool_args={"a": 1},
tool_context=tool_ctx,
)
# Error callback should pop the tool span and use its ID
await bq_plugin_inst.on_tool_error_callback(
tool=mock_tool,
tool_args={"a": 1},
tool_context=tool_ctx,
error=RuntimeError("boom"),
)
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
tool_starting = [r for r in rows if r["event_type"] == "TOOL_STARTING"]
tool_error = [r for r in rows if r["event_type"] == "TOOL_ERROR"]
assert len(tool_starting) == 1
assert len(tool_error) == 1
# The TOOL_ERROR event must have the same span_id as
# TOOL_STARTING (both correspond to the same tool span).
assert tool_starting[0]["span_id"] == tool_error[0]["span_id"]
assert tool_error[0]["span_id"] is not None
provider.shutdown()
class TestStackLeakSafety:
"""Tests for stack leak safety (P2).
Ensures the plugin's internal span stack doesn't leak records
across invocations when after_run_callback is skipped.
"""
def test_ensure_invocation_span_clears_stale_records(self, callback_context):
"""Pre-populated stack from a different invocation is cleared."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
# Simulate stale records from incomplete previous invocation.
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# Mark the stale records as belonging to a different invocation.
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set(
"old-inv-stale"
)
TM.push_span(callback_context, "stale-invocation")
TM.push_span(callback_context, "stale-agent")
stale_records = bigquery_agent_analytics_plugin._span_records_ctx.get()
assert len(stale_records) == 2
# ensure_invocation_span with the *current* invocation_id should
# detect the mismatch, clear stale records, and re-init.
TM.ensure_invocation_span(callback_context)
records = bigquery_agent_analytics_plugin._span_records_ctx.get()
# Should have exactly 1 fresh entry (the new invocation span).
assert len(records) == 1
# The fresh span should NOT be one of the stale ones.
assert records[0].span_id != stale_records[0].span_id
assert records[0].span_id != stale_records[1].span_id
provider.shutdown()
def test_clear_stack_does_not_export_spans(self, callback_context):
"""``clear_stack()`` clears the internal records but does NOT
export any OTel spans (duplicate-Cloud-Trace regression guard).
Pre-fix, ``clear_stack()`` called ``record.span.end()`` for every
owned record, which delivered the now-finished span to whatever
exporter the host had wired — duplicating it next to the
framework's real span in Cloud Trace. Post-fix the plugin owns
no OTel span at all; ``clear_stack()`` only resets the contextvar.
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
provider = SdkProvider()
exporter = InMemorySpanExporter()
provider.add_span_processor(SimpleSpanProcessor(exporter))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
TM.push_span(callback_context, "span-a")
TM.push_span(callback_context, "span-b")
records = list(bigquery_agent_analytics_plugin._span_records_ctx.get())
assert all(r.owns_span for r in records)
# No exported spans yet (the plugin never creates any).
assert exporter.get_finished_spans() == ()
TM.clear_stack()
# Stack must be empty after clear.
result = bigquery_agent_analytics_plugin._span_records_ctx.get()
assert result == []
# Still no exported spans — the duplicate-Cloud-Trace guard.
assert exporter.get_finished_spans() == (), (
"clear_stack() must not export OTel spans; any owned span"
" would surface as a duplicate in Cloud Trace alongside the"
" framework's real spans."
)
provider.shutdown()
@pytest.mark.asyncio
async def test_after_run_callback_clears_remaining_stack(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""after_run_callback clears any leftover stack entries."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
# No ambient span.
assert not trace.get_current_span().get_span_context().is_valid
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
# Push an agent span but DON'T pop it (simulate missing
# after_agent_callback due to exception).
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
# Stack now has [invocation, agent].
# after_run_callback should pop invocation + clear remaining.
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
# Stack must be empty.
records = bigquery_agent_analytics_plugin._span_records_ctx.get()
assert records == []
provider.shutdown()
@pytest.mark.asyncio
async def test_next_invocation_clean_after_incomplete_previous(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
dummy_arrow_schema,
mock_session,
):
"""Next invocation starts clean even if previous was incomplete."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set(None)
# --- Incomplete invocation 1: no after_run_callback ---
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
# Skip after_agent and after_run — simulates exception.
stale = bigquery_agent_analytics_plugin._span_records_ctx.get()
assert len(stale) >= 2 # invocation + agent
# --- Invocation 2 with a different invocation_id ---
mock_write_client.append_rows.reset_mock()
inv_ctx_2 = InvocationContext(
agent=mock_agent,
session=mock_session,
invocation_id="inv-NEW-002",
session_service=invocation_context.session_service,
plugin_manager=invocation_context.plugin_manager,
)
await bq_plugin_inst.before_run_callback(invocation_context=inv_ctx_2)
records = bigquery_agent_analytics_plugin._span_records_ctx.get()
# Should have exactly 1 fresh invocation span.
assert len(records) == 1
# Cleanup
await bq_plugin_inst.after_run_callback(invocation_context=inv_ctx_2)
provider.shutdown()
def test_ensure_invocation_span_idempotent_same_invocation(
self, callback_context
):
"""Calling ensure_invocation_span twice in the same invocation is a no-op."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
TM = bigquery_agent_analytics_plugin.TraceManager
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set(None)
# First call: creates invocation span.
TM.ensure_invocation_span(callback_context)
records_after_first = list(
bigquery_agent_analytics_plugin._span_records_ctx.get()
)
assert len(records_after_first) == 1
first_span_id = records_after_first[0].span_id
# Second call (same invocation): must be a no-op.
TM.ensure_invocation_span(callback_context)
records_after_second = (
bigquery_agent_analytics_plugin._span_records_ctx.get()
)
assert len(records_after_second) == 1
assert records_after_second[0].span_id == first_span_id
# Cleanup
TM.pop_span()
provider.shutdown()
@pytest.mark.asyncio
async def test_user_message_then_before_run_same_trace_no_ambient(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
dummy_arrow_schema,
):
"""Regression: on_user_message → before_run must share one trace_id.
Without the invocation-ID guard, the second ensure_invocation_span()
call would clear the stack and create a new root span with a
different trace_id, fracturing USER_MESSAGE_RECEIVED from
INVOCATION_STARTING.
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set(None)
# No ambient span.
assert not trace.get_current_span().get_span_context().is_valid
user_msg = types.Content(parts=[types.Part(text="hello")], role="user")
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=user_msg,
)
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_agent_callback(
agent=mock_agent, callback_context=callback_context
)
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "USER_MESSAGE_RECEIVED" in event_types
assert "INVOCATION_STARTING" in event_types
# Every row must share the same trace_id.
trace_ids = {r["trace_id"] for r in rows}
assert len(trace_ids) == 1, (
"Expected 1 unique trace_id across all events, got"
f" {len(trace_ids)}: {trace_ids}"
)
provider.shutdown()
def test_init_trace_clears_stale_root_name_without_current_agent():
callback_context = mock.MagicMock()
callback_context._invocation_context.agent = None
bigquery_agent_analytics_plugin._root_agent_name_ctx.set("stale-root")
bigquery_agent_analytics_plugin.TraceManager.init_trace(callback_context)
assert (
bigquery_agent_analytics_plugin.TraceManager.get_root_agent_name() is None
)
class TestRootAgentNameAcrossInvocations:
"""Regression: root_agent_name must refresh across invocations."""
@pytest.mark.asyncio
async def test_root_agent_name_updates_between_invocations(
self,
bq_plugin_inst,
mock_write_client,
mock_session,
dummy_arrow_schema,
):
"""Two invocations with different root agents must log correct names.
Previously init_trace() only set _root_agent_name_ctx when it was
None, so the second invocation would inherit the first's root agent.
"""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
mock_session_service = mock.create_autospec(
base_session_service_lib.BaseSessionService,
instance=True,
spec_set=True,
)
mock_plugin_manager = mock.create_autospec(
plugin_manager_lib.PluginManager,
instance=True,
spec_set=True,
)
def _make_inv_ctx(agent_name, inv_id):
agent = mock.create_autospec(
base_agent.BaseAgent, instance=True, spec_set=True
)
type(agent).name = mock.PropertyMock(return_value=agent_name)
type(agent).instruction = mock.PropertyMock(return_value="")
# root_agent returns itself (no parent).
agent.root_agent = agent
return InvocationContext(
agent=agent,
session=mock_session,
invocation_id=inv_id,
session_service=mock_session_service,
plugin_manager=mock_plugin_manager,
)
# --- Invocation 1: root agent = "RootA" ---
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set(None)
bigquery_agent_analytics_plugin._root_agent_name_ctx.set(None)
inv1 = _make_inv_ctx("RootA", "inv-001")
cb1 = CallbackContext(inv1)
await bq_plugin_inst.before_run_callback(invocation_context=inv1)
await bq_plugin_inst.before_agent_callback(
agent=inv1.agent, callback_context=cb1
)
await bq_plugin_inst.after_agent_callback(
agent=inv1.agent, callback_context=cb1
)
await bq_plugin_inst.after_run_callback(invocation_context=inv1)
await bq_plugin_inst.flush()
rows_inv1 = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
# --- Invocation 2: root agent = "RootB" ---
mock_write_client.append_rows.reset_mock()
inv2 = _make_inv_ctx("RootB", "inv-002")
cb2 = CallbackContext(inv2)
await bq_plugin_inst.before_run_callback(invocation_context=inv2)
await bq_plugin_inst.before_agent_callback(
agent=inv2.agent, callback_context=cb2
)
await bq_plugin_inst.after_agent_callback(
agent=inv2.agent, callback_context=cb2
)
await bq_plugin_inst.after_run_callback(invocation_context=inv2)
await bq_plugin_inst.flush()
rows_inv2 = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
# Parse root_agent_name from the attributes JSON column.
def _get_root_names(rows):
names = set()
for r in rows:
attrs = r.get("attributes")
if attrs:
parsed = json.loads(attrs) if isinstance(attrs, str) else attrs
if "root_agent_name" in parsed:
names.add(parsed["root_agent_name"])
return names
names_inv1 = _get_root_names(rows_inv1)
names_inv2 = _get_root_names(rows_inv2)
# Invocation 1 should only have "RootA".
assert names_inv1 == {"RootA"}, f"Expected {{'RootA'}}, got {names_inv1}"
# Invocation 2 must have "RootB", NOT stale "RootA".
assert names_inv2 == {"RootB"}, f"Expected {{'RootB'}}, got {names_inv2}"
provider.shutdown()
class TestAfterRunCleanupExceptionSafety:
"""after_run_callback cleanup must execute even if _log_event fails."""
@pytest.mark.asyncio
async def test_cleanup_runs_when_log_event_raises(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
callback_context,
mock_agent,
):
"""Stale state is cleared even when _log_event raises."""
from opentelemetry.sdk.trace import TracerProvider as SdkProvider
from opentelemetry.sdk.trace.export import SimpleSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
provider = SdkProvider()
provider.add_span_processor(SimpleSpanProcessor(InMemorySpanExporter()))
real_tracer = provider.get_tracer("test")
bigquery_agent_analytics_plugin._span_records_ctx.set(None)
bigquery_agent_analytics_plugin._active_invocation_id_ctx.set(None)
bigquery_agent_analytics_plugin._root_agent_name_ctx.set(None)
# Run a normal before_run to initialise state.
await bq_plugin_inst.before_run_callback(
invocation_context=invocation_context
)
await bq_plugin_inst.before_agent_callback(
agent=mock_agent, callback_context=callback_context
)
# Verify state is populated.
assert bigquery_agent_analytics_plugin._span_records_ctx.get()
assert (
bigquery_agent_analytics_plugin._active_invocation_id_ctx.get()
is not None
)
# Make _log_event raise inside after_run_callback.
with mock.patch.object(
bq_plugin_inst,
"_log_event",
side_effect=RuntimeError("boom"),
):
# _safe_callback swallows the exception, but cleanup in
# the finally block must still execute.
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
# All invocation state must be cleaned up despite the error.
records = bigquery_agent_analytics_plugin._span_records_ctx.get()
assert records == [] or records is None
assert (
bigquery_agent_analytics_plugin._active_invocation_id_ctx.get() is None
)
assert bigquery_agent_analytics_plugin._root_agent_name_ctx.get() is None
provider.shutdown()
class TestStringSystemPromptTruncation:
"""Tests that a string system prompt is truncated in parse()."""
@pytest.mark.asyncio
async def test_long_string_system_prompt_is_truncated(self):
"""A string system_instruction exceeding max_content_length is truncated."""
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="test-trace",
span_id="test-span",
max_length=50,
)
long_prompt = "A" * 200
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text="Hi")])],
config=types.GenerateContentConfig(
system_instruction=long_prompt,
),
)
payload, _, is_truncated = await parser.parse(llm_request)
assert is_truncated
assert len(payload["system_prompt"]) < 200
assert "TRUNCATED" in payload["system_prompt"]
class TestSessionStateTruncation:
"""Tests that session state is truncated in _enrich_attributes."""
@pytest.mark.asyncio
async def test_oversized_session_state_is_truncated(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
mock_session,
invocation_context,
):
"""Session state with large values is truncated."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
max_content_length=30,
)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
await plugin._ensure_started()
# Set a large session state value.
large_value = "X" * 200
type(mock_session).state = mock.PropertyMock(
return_value={"big_key": large_value}
)
callback_ctx = CallbackContext(invocation_context=invocation_context)
event_data = bigquery_agent_analytics_plugin.EventData()
attrs = plugin._enrich_attributes(event_data, callback_ctx)
state = attrs["session_metadata"]["state"]
assert len(state["big_key"]) < 200
assert "TRUNCATED" in state["big_key"]
await plugin.shutdown()
class TestSchemaUpgradeNestedFields:
"""Tests for nested RECORD field detection in schema upgrade."""
def _make_plugin(self):
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
auto_schema_upgrade=True,
)
with mock.patch("google.cloud.bigquery.Client"):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
plugin.client = mock.MagicMock()
plugin.full_table_id = f"{PROJECT_ID}.{DATASET_ID}.{TABLE_ID}"
return plugin
def test_nested_field_detected(self):
"""A new sub-field in a RECORD triggers an upgrade."""
plugin = self._make_plugin()
existing_record = bigquery.SchemaField(
"metadata",
"RECORD",
fields=[
bigquery.SchemaField("key", "STRING"),
],
)
desired_record = bigquery.SchemaField(
"metadata",
"RECORD",
fields=[
bigquery.SchemaField("key", "STRING"),
bigquery.SchemaField("value", "STRING"),
],
)
plugin._schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
desired_record,
]
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
existing_record,
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
plugin.client.update_table.assert_called_once()
updated_table = plugin.client.update_table.call_args[0][0]
# Find the metadata field and check it has both sub-fields.
metadata_field = next(
f for f in updated_table.schema if f.name == "metadata"
)
sub_names = {sf.name for sf in metadata_field.fields}
assert "key" in sub_names
assert "value" in sub_names
def test_nested_field_mode_mismatch_is_rejected(self):
"""Nested same-name fields must match type and mode too."""
plugin = self._make_plugin()
plugin._schema = [
bigquery.SchemaField(
"metadata",
"RECORD",
fields=[bigquery.SchemaField("key", "STRING", mode="REQUIRED")],
)
]
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField(
"metadata",
"RECORD",
fields=[bigquery.SchemaField("key", "STRING", mode="NULLABLE")],
)
]
existing.labels = {}
plugin.client.get_table.return_value = existing
with pytest.raises(ValueError, match=r"metadata\.key"):
plugin._ensure_schema_exists()
plugin.client.update_table.assert_not_called()
def test_version_label_not_stamped_on_failure(self):
"""A failed update_table does not persist the version label."""
plugin = self._make_plugin()
plugin._schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
bigquery.SchemaField("new_col", "STRING"),
]
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin.client.update_table.side_effect = Exception("network error")
# Raises so setup is not marked ready against a table with missing
# fields.
with pytest.raises(Exception, match="network error"):
plugin._ensure_schema_exists()
# The label is set on the table object before update_table is
# called, but since update_table failed the label was never
# persisted remotely. On the next run the stored_version will
# still be None (from the real BQ table) so the upgrade retries.
# We verify that update_table was actually attempted.
plugin.client.update_table.assert_called_once()
def test_nested_upgrade_preserves_policy_tags(self):
"""RECORD field metadata (e.g. policy_tags) is preserved on upgrade."""
from google.cloud.bigquery import schema as bq_schema
plugin = self._make_plugin()
existing_record = bigquery.SchemaField(
"metadata",
"RECORD",
policy_tags=bq_schema.PolicyTagList(
names=["projects/p/locations/us/taxonomies/t/policyTags/pt"]
),
fields=[
bigquery.SchemaField("key", "STRING"),
],
)
desired_record = bigquery.SchemaField(
"metadata",
"RECORD",
fields=[
bigquery.SchemaField("key", "STRING"),
bigquery.SchemaField("value", "STRING"),
],
)
plugin._schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
desired_record,
]
existing = mock.MagicMock(spec=bigquery.Table)
existing.schema = [
bigquery.SchemaField("timestamp", "TIMESTAMP"),
existing_record,
]
existing.labels = {}
plugin.client.get_table.return_value = existing
plugin._ensure_schema_exists()
plugin.client.update_table.assert_called_once()
updated_table = plugin.client.update_table.call_args[0][0]
metadata_field = next(
f for f in updated_table.schema if f.name == "metadata"
)
# Sub-fields were merged.
sub_names = {sf.name for sf in metadata_field.fields}
assert "key" in sub_names
assert "value" in sub_names
# policy_tags preserved from the existing field.
assert metadata_field.policy_tags is not None
assert (
"projects/p/locations/us/taxonomies/t/policyTags/pt"
in metadata_field.policy_tags.names
)
class TestMultiLoopShutdownDrainsOtherLoops:
"""Tests that shutdown() drains batch processors on other loops."""
@pytest.mark.asyncio
async def test_other_loop_batch_processor_drained(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""Shutdown drains batch_processor.shutdown on non-current loops.
Uses a REAL second loop: the drain task is
created inside the remote loop's own callback (no
run_coroutine_threadsafe), so the drain must actually execute there.
"""
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
await plugin._ensure_started()
other_loop = asyncio.new_event_loop()
thread = platform_thread.create_thread(target=other_loop.run_forever)
thread.daemon = True
thread.start()
try:
drain_thread_ids = []
async def record_shutdown(timeout=None):
del timeout
drain_thread_ids.append(threading.get_ident())
# get_drop_stats() is synchronous; a blanket AsyncMock makes it return a
# coroutine, and the AttributeError shutdown() then swallows truncates the
# rest of its body.
mock_other_bp = mock.create_autospec(
bigquery_agent_analytics_plugin.BatchProcessor,
instance=True,
spec_set=True,
)
mock_other_bp.shutdown = record_shutdown
mock_other_bp.get_drop_stats.return_value = {}
mock_other_write_client = mock.MagicMock()
mock_other_write_client.transport = mock.AsyncMock()
other_state = bigquery_agent_analytics_plugin._LoopState(
write_client=mock_other_write_client,
batch_processor=mock_other_bp,
)
plugin._loop_state_by_loop[other_loop] = other_state
await plugin.shutdown(timeout=5)
# The drain ran on the OTHER loop's thread and the state was
# claimed after a clean completion.
assert drain_thread_ids == [thread.ident]
assert other_loop not in plugin._loop_state_by_loop
mock_other_write_client.transport.close.assert_awaited()
# shutdown() swallows exceptions, so only its tail work proves the body
# ran past the drop-stat fold.
assert plugin._loop_state_by_loop == {}
assert plugin.client is None
finally:
other_loop.call_soon_threadsafe(other_loop.stop)
thread.join(timeout=5)
other_loop.close()
class TestCacheMetadataLogging:
"""Tests for logging cache_metadata from LlmResponse."""
@pytest.mark.asyncio
async def test_cache_metadata_logged_when_present(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Verifies cache_metadata is logged into BigQuery attributes when present."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="Cache test")]),
cache_metadata={"fingerprint": "abc-123", "contents_count": 2},
)
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context,
llm_response=llm_response,
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
log_entry = next(r for r in rows if r["event_type"] == "LLM_RESPONSE")
attributes = json.loads(log_entry["attributes"])
assert "cache_metadata" in attributes
assert attributes["cache_metadata"]["fingerprint"] == "abc-123"
assert attributes["cache_metadata"]["contents_count"] == 2
@pytest.mark.asyncio
async def test_missing_cache_metadata_does_not_crash(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Verifies missing cache_metadata gracefully defaults using getattr."""
class LegacyLlmResponse:
def __init__(self):
self.content = types.Content(parts=[types.Part(text="Mock text")])
self.usage_metadata = None
self.model_version = "v1"
self.partial = False
# Deliberately omitting cache_metadata
mock_response = LegacyLlmResponse()
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context,
llm_response=mock_response,
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
log_entry = next(r for r in rows if r["event_type"] == "LLM_RESPONSE")
attributes = json.loads(log_entry["attributes"])
assert "cache_metadata" not in attributes
async def _run_after_model(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
):
"""Drives after_model_callback and returns the LLM_RESPONSE attributes."""
bigquery_agent_analytics_plugin.TraceManager.push_span(callback_context)
await bq_plugin_inst.after_model_callback(
callback_context=callback_context,
llm_response=llm_response,
)
await asyncio.sleep(0.05)
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
log_entry = next(r for r in rows if r["event_type"] == "LLM_RESPONSE")
return json.loads(log_entry["attributes"])
@pytest.mark.asyncio
async def test_cache_type_explicit(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""cache_name set + cached tokens -> explicit (ADK-managed cache)."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="hi")]),
usage_metadata=types.GenerateContentResponseUsageMetadata(
prompt_token_count=100,
candidates_token_count=20,
total_token_count=120,
cached_content_token_count=80,
),
cache_metadata={
"cache_name": "projects/p/locations/us-central1/cachedContents/c",
"expire_time": 9999999999.0,
"fingerprint": "fp-1",
"invocations_used": 1,
"contents_count": 2,
"created_at": 1.0,
},
)
attributes = await self._run_after_model(
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
)
assert attributes["cache_type"] == "explicit"
@pytest.mark.asyncio
async def test_cache_type_implicit(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Cached tokens with no cache_metadata -> implicit (provider prefix)."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="hi")]),
usage_metadata=types.GenerateContentResponseUsageMetadata(
prompt_token_count=100,
candidates_token_count=20,
total_token_count=120,
cached_content_token_count=80,
),
)
attributes = await self._run_after_model(
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
)
assert attributes["cache_type"] == "implicit"
@pytest.mark.asyncio
async def test_cache_type_explicit_fingerprint_only(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Fingerprint-only cache_metadata (cache_name=None) is still explicit."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="hi")]),
usage_metadata=types.GenerateContentResponseUsageMetadata(
prompt_token_count=100,
candidates_token_count=20,
total_token_count=120,
cached_content_token_count=80,
),
cache_metadata={"fingerprint": "fp-1", "contents_count": 2},
)
attributes = await self._run_after_model(
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
)
assert attributes["cache_type"] == "explicit"
@pytest.mark.asyncio
async def test_cache_type_none_with_active_cache(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Active cache but no cached tokens (creation turn / miss) -> none."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="hi")]),
usage_metadata=types.GenerateContentResponseUsageMetadata(
prompt_token_count=100,
candidates_token_count=20,
total_token_count=120,
),
cache_metadata={
"cache_name": "projects/p/locations/us-central1/cachedContents/c",
"expire_time": 9999999999.0,
"fingerprint": "fp-1",
"invocations_used": 1,
"contents_count": 2,
"created_at": 1.0,
},
)
attributes = await self._run_after_model(
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
)
assert attributes["cache_type"] == "none"
@pytest.mark.asyncio
async def test_cache_type_none(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""No cached tokens -> none."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="hi")]),
usage_metadata=types.GenerateContentResponseUsageMetadata(
prompt_token_count=100,
candidates_token_count=20,
total_token_count=120,
),
)
attributes = await self._run_after_model(
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
)
assert attributes["cache_type"] == "none"
@pytest.mark.asyncio
async def test_cache_type_absent_on_partial_response(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""Partial streaming rows carry no cache_type, even with cached tokens."""
llm_response = llm_response_lib.LlmResponse(
content=types.Content(parts=[types.Part(text="hi")]),
partial=True,
usage_metadata=types.GenerateContentResponseUsageMetadata(
prompt_token_count=100,
candidates_token_count=20,
total_token_count=120,
cached_content_token_count=80,
),
)
attributes = await self._run_after_model(
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
llm_response,
)
assert "cache_type" not in attributes
# ==============================================================
# TEST CLASS: A2A_INTERACTION event logging via on_event_callback
# ==============================================================
class TestA2AInteractionLogging:
"""Tests for A2A interaction event emission via on_event_callback.
When a RemoteA2aAgent processes a response, it attaches A2A
metadata (``a2a:task_id``, ``a2a:context_id``, ``a2a:request``,
``a2a:response``) to the event's ``custom_metadata``. The
plugin's ``on_event_callback`` should detect events carrying
``a2a:request`` or ``a2a:response`` and log an
``A2A_INTERACTION`` event so the remote agent's response and
cross-reference IDs are visible in BigQuery.
"""
@pytest.mark.asyncio
async def test_a2a_interaction_logged_for_response_metadata(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Event with a2a:response in custom_metadata emits A2A_INTERACTION."""
a2a_meta = {
"a2a:task_id": "task-abc",
"a2a:context_id": "ctx-123",
"a2a:response": {"status": "completed", "text": "result"},
}
event = event_lib.Event(
author="remote_agent",
custom_metadata=a2a_meta,
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
assert result is None
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "A2A_INTERACTION" in event_types
a2a_row = next(r for r in rows if r["event_type"] == "A2A_INTERACTION")
attributes = json.loads(a2a_row["attributes"])
assert "a2a_metadata" in attributes
assert attributes["a2a_metadata"]["a2a:task_id"] == "task-abc"
assert attributes["a2a_metadata"]["a2a:context_id"] == "ctx-123"
# Content should contain the a2a:response payload.
content = json.loads(a2a_row["content"])
assert content["status"] == "completed"
@pytest.mark.asyncio
async def test_a2a_interaction_logged_for_request_metadata(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Event with a2a:request (no a2a:response) emits A2A_INTERACTION."""
a2a_meta = {
"a2a:task_id": "task-xyz",
"a2a:request": {"message": "hello"},
}
event = event_lib.Event(
author="remote_agent",
custom_metadata=a2a_meta,
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
assert result is None
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
event_types = [r["event_type"] for r in rows]
assert "A2A_INTERACTION" in event_types
a2a_row = next(r for r in rows if r["event_type"] == "A2A_INTERACTION")
attributes = json.loads(a2a_row["attributes"])
assert attributes["a2a_metadata"]["a2a:request"] == {"message": "hello"}
# No a2a:response → content should be None.
assert a2a_row["content"] is None
@pytest.mark.asyncio
async def test_no_a2a_interaction_for_irrelevant_metadata(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events with only a2a:task_id (no request/response) are skipped."""
a2a_meta = {
"a2a:task_id": "task-only",
"a2a:context_id": "ctx-only",
}
event = event_lib.Event(
author="remote_agent",
custom_metadata=a2a_meta,
)
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
assert result is None
await bq_plugin_inst.flush()
# No events logged — a2a:task_id alone is not a meaningful
# interaction payload.
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_no_a2a_interaction_for_no_metadata(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events without custom_metadata produce no A2A_INTERACTION."""
event = event_lib.Event(author="regular_agent")
result = await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
assert result is None
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
# ================================================================
# TEST CLASS: Dataset location handling
# ================================================================
class TestDatasetLocationHandling:
"""Tests that BQ client is created without a default location.
When location is omitted from bigquery.Client(), client.query()
sends no location field in the API request, letting BigQuery
infer location from the referenced dataset. This prevents
silent view-creation failures for non-US datasets.
"""
@pytest.mark.asyncio
async def test_client_created_without_location(
self,
mock_auth_default,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""bigquery.Client is created without a location parameter."""
with mock.patch.object(bigquery, "Client", autospec=True) as mock_bq_cls:
mock_bq_cls.return_value.get_table.side_effect = (
cloud_exceptions.NotFound("table")
)
mock_bq_cls.return_value.create_table.return_value = None
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
location="europe-west1",
config=bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
create_views=False,
),
) as plugin:
await plugin._ensure_started()
mock_bq_cls.assert_called_once()
_, kwargs = mock_bq_cls.call_args
assert "location" not in kwargs
@pytest.mark.asyncio
async def test_view_query_omits_location(
self,
mock_auth_default,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""View creation DDL queries do not pass an explicit location."""
with mock.patch.object(bigquery, "Client", autospec=True) as mock_bq_cls:
mock_client = mock_bq_cls.return_value
mock_client.get_table.return_value = mock.MagicMock()
mock_client.query.return_value.result.return_value = None
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
create_views=True,
),
) as plugin:
await plugin._ensure_started()
assert mock_client.query.call_count > 0
for call in mock_client.query.call_args_list:
_, kwargs = call
# No explicit location — BQ infers from dataset
assert "location" not in kwargs
@pytest.mark.asyncio
async def test_view_error_still_logged(
self,
mock_auth_default,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""View creation errors are logged but not raised."""
with mock.patch.object(bigquery, "Client", autospec=True) as mock_bq_cls:
mock_client = mock_bq_cls.return_value
mock_client.get_table.return_value = mock.MagicMock()
mock_client.query.return_value.result.side_effect = Exception(
"view error"
)
# Should not raise
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
create_views=True,
),
) as plugin:
await plugin._ensure_started()
assert plugin._started
# ================================================================
# TEST CLASS: Fork detection after pickle
# ================================================================
class TestForkDetectionAfterPickle:
"""Tests that unpickled plugins do not false-positive fork detection."""
@pytest.mark.asyncio
async def test_no_reset_after_unpickle(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""Unpickled plugin does not trigger _reset_runtime_state and
records os.getpid() after startup.
"""
import pickle
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
create_views=False,
)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
pickled = pickle.dumps(plugin)
unpickled = pickle.loads(pickled)
assert unpickled._init_pid == 0
with mock.patch.object(unpickled, "_reset_runtime_state") as mock_reset:
await unpickled._ensure_started()
mock_reset.assert_not_called()
assert unpickled._started
assert unpickled._init_pid == os.getpid()
await unpickled.shutdown()
@pytest.mark.asyncio
async def test_reset_on_real_fork(
self,
mock_auth_default,
mock_bq_client,
mock_write_client,
mock_to_arrow_schema,
mock_asyncio_to_thread,
):
"""Plugin detects real fork when _init_pid is a real non-zero PID."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
create_views=False,
)
async with managed_plugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
) as plugin:
await plugin._ensure_started()
plugin._init_pid = max(os.getpid() - 1, 1)
plugin._started = True
with mock.patch.object(
plugin, "_reset_runtime_state", wraps=plugin._reset_runtime_state
) as mock_reset:
await plugin._ensure_started()
mock_reset.assert_called_once()
# ================================================================
# TEST CLASS: GCS offload unit mismatch fix
# ================================================================
@pytest.mark.asyncio
async def test_content_parser_accepts_content_without_parts():
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="trace",
span_id="span",
)
summary, parts, is_truncated = await parser._parse_content_object(
types.Content(role="user")
)
assert summary == ""
assert parts == []
assert not is_truncated
class TestOffloadUnitSeparation:
"""Tests that byte-based inline limit and character-based truncation
limit are evaluated independently for the GCS offload decision.
"""
@pytest.mark.asyncio
async def test_multibyte_text_offloaded_by_byte_limit(self):
"""Multi-byte text exceeding inline_text_limit bytes is offloaded."""
mock_offloader = mock.AsyncMock()
mock_offloader.upload_content.return_value = "gs://bucket/offloaded.txt"
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=mock_offloader,
trace_id="t",
span_id="s",
max_length=-1,
)
text = "\U0001f600" * 10000
assert len(text) == 10000
assert len(text.encode("utf-8")) > 32 * 1024
content = types.Content(parts=[types.Part(text=text)])
_, parts, _ = await parser._parse_content_object(content)
mock_offloader.upload_content.assert_called_once()
assert parts[0]["storage_mode"] == "GCS_REFERENCE"
@pytest.mark.asyncio
async def test_ascii_under_both_limits_stays_inline(self):
"""ASCII text under both byte and character limits stays inline."""
mock_offloader = mock.AsyncMock()
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=mock_offloader,
trace_id="t",
span_id="s",
max_length=50000,
)
text = "A" * 1000
content = types.Content(parts=[types.Part(text=text)])
_, parts, _ = await parser._parse_content_object(content)
mock_offloader.upload_content.assert_not_called()
assert parts[0]["storage_mode"] == "INLINE"
assert parts[0]["text"] == text
@pytest.mark.asyncio
async def test_text_exceeding_char_limit_offloaded(self):
"""ASCII text exceeding max_length characters is offloaded."""
mock_offloader = mock.AsyncMock()
mock_offloader.upload_content.return_value = "gs://bucket/big.txt"
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=mock_offloader,
trace_id="t",
span_id="s",
max_length=100,
)
text = "X" * 200
assert len(text.encode("utf-8")) < 32 * 1024
assert len(text) > 100
content = types.Content(parts=[types.Part(text=text)])
_, parts, _ = await parser._parse_content_object(content)
mock_offloader.upload_content.assert_called_once()
assert parts[0]["storage_mode"] == "GCS_REFERENCE"
@pytest.mark.asyncio
async def test_multibyte_under_char_and_byte_limits_stays_inline(self):
"""Regression test: 3K emoji (12K bytes) with max_length=10000
should stay inline — under both real limits.
"""
mock_offloader = mock.AsyncMock()
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=mock_offloader,
trace_id="t",
span_id="s",
max_length=10000,
)
text = "\U0001f600" * 3000
assert len(text) < 10000
assert len(text.encode("utf-8")) > 10000
assert len(text.encode("utf-8")) < 32 * 1024
content = types.Content(parts=[types.Part(text=text)])
_, parts, _ = await parser._parse_content_object(content)
mock_offloader.upload_content.assert_not_called()
assert parts[0]["storage_mode"] == "INLINE"
@pytest.mark.asyncio
async def test_list_content_is_unpacked_into_parts(self):
"""A list system_instruction keeps the text of every part it holds."""
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=50000,
)
summary, parts, is_truncated = await parser._parse_content_object(
[types.Part(text="hi"), types.Part(text="there")]
)
assert summary == "hi | there"
assert not is_truncated
assert [part["text"] for part in parts] == ["hi", "there"]
assert parts[0]["storage_mode"] == "INLINE"
@pytest.mark.asyncio
async def test_non_content_union_member_does_not_raise(self):
"""A member carrying no part fields yields an empty entry, not an error."""
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=50000,
)
summary, parts, is_truncated = await parser._parse_content_object(
types.File(name="f")
)
assert summary == ""
assert not is_truncated
assert len(parts) == 1
assert parts[0]["text"] is None
assert parts[0]["storage_mode"] == "INLINE"
@pytest.mark.asyncio
async def test_no_offloader_falls_back_to_truncate(self):
"""Without offloader, text exceeding char limit is truncated inline."""
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=50,
)
text = "Z" * 200
content = types.Content(parts=[types.Part(text=text)])
_, parts, is_truncated = await parser._parse_content_object(content)
assert is_truncated
assert parts[0]["storage_mode"] == "INLINE"
assert "TRUNCATED" in parts[0]["text"]
@pytest.mark.asyncio
async def test_raw_prompt_text_is_sanitized_inline(self):
"""Prompt, role, and system strings are redacted before row storage."""
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=-1,
)
secret = "INLINE-CONTENT-SECRET"
request = llm_request_lib.LlmRequest(
contents=[
types.Content(
role=json.dumps({"authorization": secret}),
parts=[types.Part(text=json.dumps({"secret": secret}))],
)
],
config=types.GenerateContentConfig(
system_instruction=json.dumps({"private_key": secret})
),
)
payload, parts, _ = await parser.parse(request)
stored = json.dumps({"content": payload, "content_parts": parts})
assert secret not in stored
assert stored.count("[REDACTED]") >= 3
@pytest.mark.asyncio
async def test_raw_prompt_text_is_redacted_at_row_boundary(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
"""The serialized BigQuery row never regains parser-redacted text."""
secret = "ROW-BOUNDARY-CONTENT-SECRET"
request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[
types.Content(
role="user",
parts=[types.Part(text=json.dumps({"access_token": secret}))],
)
],
)
await bq_plugin_inst._log_event(
"LLM_REQUEST",
callback_context,
raw_content=request,
event_data=bigquery_agent_analytics_plugin.EventData(
model=request.model
),
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
stored = json.dumps(row, default=str)
assert secret not in stored
assert "[REDACTED]" in stored
@pytest.mark.asyncio
async def test_gcs_text_upload_receives_only_sanitized_content(self):
"""Raw text is sanitized before either its GCS or row representation."""
mock_offloader = mock.AsyncMock()
mock_offloader.upload_content.return_value = "gs://bucket/safe.txt"
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=mock_offloader,
trace_id="t",
span_id="s",
max_length=-1,
)
secret = "GCS-CONTENT-SECRET"
text = json.dumps({"token": secret, "padding": "x" * (33 * 1024)})
payload, parts, _ = await parser.parse(
types.Content(parts=[types.Part(text=text)])
)
uploaded = mock_offloader.upload_content.call_args.args[0]
assert secret not in uploaded
assert "[REDACTED]" in uploaded
stored = json.dumps({"content": payload, "content_parts": parts})
assert secret not in stored
assert "[REDACTED]" in stored
@pytest.mark.asyncio
async def test_internal_formatter_sentinel_is_preserved(self):
"""Raw-text sanitization never corrupts generated formatter sentinels."""
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None, trace_id="t", span_id="s"
)
payload, _, _ = await parser.parse(
bigquery_agent_analytics_plugin._FORMATTER_FAILED_SENTINEL
)
assert payload == bigquery_agent_analytics_plugin._FORMATTER_FAILED_SENTINEL
# ================================================================
# TEST CLASS: AGENT_RESPONSE logging
# ================================================================
class TestAgentResponseLogging:
"""Tests that final agent response events are captured correctly."""
@pytest.mark.asyncio
async def test_logs_final_text_response(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Final text response is logged as AGENT_RESPONSE with
source_event_author from event.author.
"""
event = event_lib.Event(
author="sub_agent",
content=types.Content(parts=[types.Part(text="Here is your answer.")]),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
agent_resp_rows = [r for r in rows if r["event_type"] == "AGENT_RESPONSE"]
assert len(agent_resp_rows) == 1
row = agent_resp_rows[0]
content = json.loads(row["content"])
assert "Here is your answer" in content["response"]
attributes = json.loads(row["attributes"])
# source_event_author must come from event.author
assert attributes["source_event_author"] == "sub_agent"
@pytest.mark.asyncio
async def test_skips_function_call_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events with function calls are not logged as AGENT_RESPONSE."""
fc = types.FunctionCall(name="my_tool", args={"x": 1})
event = event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part(function_call=fc)]),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_skips_function_response_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events with function responses are not logged as AGENT_RESPONSE."""
fr = types.FunctionResponse(name="my_tool", response={"result": "ok"})
event = event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part(function_response=fr)]),
actions=event_actions_lib.EventActions(skip_summarization=True),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_skips_partial_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Partial streaming events are not logged as AGENT_RESPONSE."""
event = event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part(text="partial chunk")]),
partial=True,
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_skips_long_running_tool_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Long-running tool events are not logged as AGENT_RESPONSE.
They DO emit TOOL_PAUSED — here via the unmatched-id fallback, since
the function_call part has no id matching the long_running_tool_id.
"""
fc = types.FunctionCall(name="long_tool", args={})
event = event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part(function_call=fc)]),
long_running_tool_ids={"call-1"},
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
types_emitted = [r["event_type"] for r in rows]
assert "AGENT_RESPONSE" not in types_emitted
# The pause is still observable via the fallback TOOL_PAUSED row.
assert types_emitted == ["TOOL_PAUSED"]
@pytest.mark.asyncio
async def test_skips_thought_only_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Thought-only final events are not logged as AGENT_RESPONSE."""
event = event_lib.Event(
author="agent",
content=types.Content(
parts=[types.Part(text="internal reasoning...", thought=True)]
),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_mixed_thought_and_visible_logs_only_visible(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Mixed thought + visible text logs only the visible portion."""
event = event_lib.Event(
author="agent",
content=types.Content(
parts=[
types.Part(text="thinking step 1...", thought=True),
types.Part(text="Here is the answer."),
]
),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
agent_resp_rows = [r for r in rows if r["event_type"] == "AGENT_RESPONSE"]
assert len(agent_resp_rows) == 1
content = json.loads(agent_resp_rows[0]["content"])
assert "Here is the answer" in content["response"]
assert "thinking step" not in content["response"]
@pytest.mark.asyncio
async def test_skips_empty_part_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events with only empty Part() do not log AGENT_RESPONSE."""
event = event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part()]),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_skips_empty_text_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events with Part(text='') do not log AGENT_RESPONSE."""
event = event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part(text="")]),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
@pytest.mark.asyncio
async def test_skips_executable_code_only_events(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Events with only executable_code parts do not log AGENT_RESPONSE."""
event = event_lib.Event(
author="agent",
content=types.Content(
parts=[
types.Part(
executable_code=types.ExecutableCode(
code="print('hi')", language="PYTHON"
)
)
]
),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
assert mock_write_client.append_rows.call_count == 0
class TestDropStats:
"""Tests that dropped events are counted and exposed via get_drop_stats."""
def _make_processor(
self, arrow_schema, *, queue_max_size=10, retry_config=None
):
"""Builds a BatchProcessor with a mock write client (writer not started)."""
return bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=arrow_schema,
write_stream=DEFAULT_STREAM_NAME,
batch_size=1,
flush_interval=1.0,
retry_config=(
retry_config or bigquery_agent_analytics_plugin.RetryConfig()
),
queue_max_size=queue_max_size,
shutdown_timeout=10.0,
)
def _stub_arrow_prep(self, bp):
"""Stubs Arrow serialization so write tests need no real row schema."""
fake_batch = mock.MagicMock()
fake_batch.serialize.return_value.to_pybytes.return_value = b"batch"
bp._prepare_arrow_batch = mock.MagicMock(return_value=fake_batch)
@pytest.mark.asyncio
async def test_flush_waits_for_dequeued_write(self, dummy_arrow_schema):
bp = self._make_processor(dummy_arrow_schema)
await bp.append({"event": 0})
await bp._queue.get()
flush_task = asyncio.create_task(bp.flush())
await asyncio.sleep(0)
assert not flush_task.done()
bp._queue.task_done()
await flush_task
@pytest.mark.asyncio
async def test_queue_full_drops_are_counted(self, dummy_arrow_schema):
# Writer is not started, so a size-1 queue fills after one append and the
# next two appends overflow and are dropped.
bp = self._make_processor(dummy_arrow_schema, queue_max_size=1)
await bp.append({"event": 0})
await bp.append({"event": 1})
await bp.append({"event": 2})
assert bp.get_drop_stats()["queue_full"] == 2
assert bp.dropped_event_count == 2
@pytest.mark.asyncio
async def test_retry_exhaustion_drops_are_counted(self, dummy_arrow_schema):
# max_retries=0 with zero delay drops on the first failure without sleeping.
retry_config = bigquery_agent_analytics_plugin.RetryConfig(
max_retries=0, initial_delay=0.0, multiplier=1.0, max_delay=0.0
)
bp = self._make_processor(dummy_arrow_schema, retry_config=retry_config)
self._stub_arrow_prep(bp)
async def fake_append_rows(requests, **kwargs):
del requests, kwargs
resp = mock.MagicMock()
resp.row_errors = []
resp.error = mock.MagicMock()
resp.error.code = bigquery_agent_analytics_plugin._GRPC_UNAVAILABLE
resp.error.message = "unavailable"
return _async_gen(resp)
bp.write_client.append_rows.side_effect = fake_append_rows
await bp._write_rows_with_retry([{"a": 1}, {"a": 2}])
assert bp.get_drop_stats()["retry_exhausted"] == 2
assert bp.dropped_event_count == 2
@pytest.mark.asyncio
async def test_non_retryable_drops_are_counted(
self, dummy_arrow_schema, caplog
):
bp = self._make_processor(dummy_arrow_schema)
self._stub_arrow_prep(bp)
async def fake_append_rows(requests, **kwargs):
del requests, kwargs
resp = mock.MagicMock()
resp.row_errors = []
resp.error = mock.MagicMock()
resp.error.code = 3 # INVALID_ARGUMENT, non-retryable.
resp.error.message = "bad request"
return _async_gen(resp)
bp.write_client.append_rows.side_effect = fake_append_rows
secret = "NONRETRYABLE-ROW-SECRET"
with caplog.at_level(
logging.ERROR,
logger="google_adk.google.adk.plugins.bigquery_agent_analytics_plugin",
):
await bp._write_rows_with_retry([{"a": secret}])
assert bp.get_drop_stats()["non_retryable"] == 1
assert bp.dropped_event_count == 1
assert secret not in caplog.text
assert "1 row(s) dropped" in caplog.text
def test_plugin_get_drop_stats_aggregates_across_loops(
self, dummy_arrow_schema
):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID, dataset_id=DATASET_ID, table_id=TABLE_ID
)
bp1 = self._make_processor(dummy_arrow_schema)
bp2 = self._make_processor(dummy_arrow_schema)
bp1._dropped["queue_full"] = 3
bp1._dropped["retry_exhausted"] = 1
bp2._dropped["queue_full"] = 4
loop1 = mock.MagicMock(spec=asyncio.AbstractEventLoop)
loop2 = mock.MagicMock(spec=asyncio.AbstractEventLoop)
plugin._loop_state_by_loop[loop1] = (
bigquery_agent_analytics_plugin._LoopState(mock.MagicMock(), bp1)
)
plugin._loop_state_by_loop[loop2] = (
bigquery_agent_analytics_plugin._LoopState(mock.MagicMock(), bp2)
)
stats = plugin.get_drop_stats()
assert stats["queue_full"] == 7
assert stats["retry_exhausted"] == 1
def test_plugin_get_drop_stats_empty_without_processor(self):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID, dataset_id=DATASET_ID, table_id=TABLE_ID
)
assert plugin.get_drop_stats() == {}
class TestExactlyOnceDelivery:
"""Tests the opt-in committed-stream offset protocol."""
_STREAM = (
f"projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}"
"/streams/committed-1"
)
def _make_processor(
self,
arrow_schema,
*,
write_client=None,
create_stream=None,
max_retries=0,
):
write_client = write_client or mock.MagicMock()
processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=write_client,
arrow_schema=arrow_schema,
write_stream=self._STREAM,
batch_size=2,
flush_interval=1.0,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(
max_retries=max_retries,
initial_delay=0.0,
multiplier=1.0,
max_delay=0.0,
),
queue_max_size=10,
shutdown_timeout=1.0,
exactly_once_delivery=True,
create_stream=create_stream,
)
fake_batch = mock.MagicMock()
fake_batch.serialize.return_value.to_pybytes.return_value = b"batch"
processor._prepare_arrow_batch = mock.MagicMock(return_value=fake_batch)
return processor
@staticmethod
def _response(code=0, message=""):
response = mock.MagicMock()
response.error.code = code
response.error.message = message
response.row_errors = []
return response
@pytest.mark.asyncio
async def test_default_mode_omits_offset(self, dummy_arrow_schema):
assert (
not bigquery_agent_analytics_plugin.BigQueryLoggerConfig().exactly_once_delivery
)
client = mock.MagicMock()
captured = []
async def append_rows(requests, **kwargs):
del kwargs
captured.extend([request async for request in requests])
return _async_gen(self._response())
client.append_rows.side_effect = append_rows
processor = TestDropStats()._make_processor(dummy_arrow_schema)
processor.write_client = client
TestDropStats()._stub_arrow_prep(processor)
await processor._write_rows_with_retry([{"a": 1}])
assert len(captured) == 1
assert not captured[0]._pb.HasField("offset")
@pytest.mark.asyncio
async def test_default_mode_keeps_empty_response_as_success(
self, dummy_arrow_schema
):
client = mock.MagicMock()
async def empty_responses():
if False:
yield None
async def append_rows(requests, **kwargs):
del kwargs
await anext(requests)
return empty_responses()
client.append_rows.side_effect = append_rows
processor = TestDropStats()._make_processor(
dummy_arrow_schema,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(
max_retries=1,
initial_delay=0.0,
multiplier=1.0,
max_delay=0.0,
),
)
processor.write_client = client
TestDropStats()._stub_arrow_prep(processor)
await processor._write_rows_with_retry([{"a": 1}])
assert client.append_rows.call_count == 1
assert processor.dropped_event_count == 0
@pytest.mark.asyncio
async def test_default_mode_never_finalizes_default_stream(
self, dummy_arrow_schema
):
"""Closing the default-stream writer never invokes stream finalization."""
client = mock.MagicMock()
client.finalize_write_stream = mock.AsyncMock()
processor = TestDropStats()._make_processor(dummy_arrow_schema)
processor.write_client = client
await processor.close()
client.finalize_write_stream.assert_not_awaited()
@pytest.mark.asyncio
async def test_exactly_once_empty_response_poison_stream(
self, dummy_arrow_schema
):
client = mock.MagicMock()
async def empty_responses():
if False:
yield None
async def append_rows(requests, **kwargs):
del kwargs
await anext(requests)
return empty_responses()
client.append_rows.side_effect = append_rows
processor = self._make_processor(dummy_arrow_schema, write_client=client)
await processor._write_rows_with_retry([{"a": 1}])
assert client.append_rows.call_count == 1
assert processor.get_drop_stats()["retry_exhausted"] == 1
assert processor._offset_desynced
@pytest.mark.asyncio
async def test_offsets_advance_only_after_confirmed_batches(
self, dummy_arrow_schema
):
client = mock.MagicMock()
offsets = []
async def append_rows(requests, **kwargs):
del kwargs
request = [request async for request in requests][0]
offsets.append(request.offset)
return _async_gen(self._response())
client.append_rows.side_effect = append_rows
processor = self._make_processor(dummy_arrow_schema, write_client=client)
await processor._write_rows_with_retry([{"a": 1}, {"a": 2}])
await processor._write_rows_with_retry([{"a": 3}])
assert offsets == [0, 2]
assert processor._next_offset == 3
@pytest.mark.asyncio
@pytest.mark.parametrize("already_exists_in_band", [False, True])
async def test_retry_reuses_offset_and_already_exists_confirms_delivery(
self, dummy_arrow_schema, already_exists_in_band
):
client = mock.MagicMock()
offsets = []
calls = 0
async def append_rows(requests, **kwargs):
nonlocal calls
del kwargs
request = [request async for request in requests][0]
offsets.append(request.offset)
calls += 1
if calls == 1:
raise api_exceptions.ServiceUnavailable("retry")
if already_exists_in_band:
return _async_gen(self._response(6, "offset already exists"))
raise api_exceptions.AlreadyExists("offset already exists")
client.append_rows.side_effect = append_rows
processor = self._make_processor(
dummy_arrow_schema, write_client=client, max_retries=1
)
await processor._write_rows_with_retry([{"a": 1}, {"a": 2}])
assert offsets == [0, 0]
assert processor._next_offset == 2
assert processor.dropped_event_count == 0
@pytest.mark.asyncio
async def test_ambiguous_attempt_stays_desynchronized_after_later_rejection(
self, dummy_arrow_schema
):
"""A later rejected retry cannot make an earlier sent attempt safe."""
client = mock.MagicMock()
streams = []
calls = 0
replacement = self._STREAM.replace("committed-1", "committed-2")
create_stream = mock.AsyncMock(return_value=replacement)
async def append_rows(requests, **kwargs):
nonlocal calls
del kwargs
request = await anext(requests)
streams.append(request.write_stream)
calls += 1
if calls == 1:
raise asyncio.TimeoutError()
if calls == 2:
return _async_gen(self._response(14, "unavailable"))
if request.write_stream == self._STREAM:
return _async_gen(self._response(6, "offset already exists"))
return _async_gen(self._response())
client.append_rows.side_effect = append_rows
client.finalize_write_stream = mock.AsyncMock()
processor = self._make_processor(
dummy_arrow_schema,
write_client=client,
create_stream=create_stream,
max_retries=1,
)
await processor._write_rows_with_retry([{"batch": "a"}, {"batch": "a"}])
await processor._write_rows_with_retry([{"batch": "b"}])
assert streams == [self._STREAM, self._STREAM, replacement]
assert processor._next_offset == 1
assert processor.get_drop_stats()["retry_exhausted"] == 2
@pytest.mark.asyncio
async def test_non_retryable_rejection_after_ambiguity_rotates_stream(
self, dummy_arrow_schema
):
"""A terminal rejection cannot make an earlier sent attempt safe."""
client = mock.MagicMock()
streams = []
calls = 0
replacement = self._STREAM.replace("committed-1", "committed-2")
create_stream = mock.AsyncMock(return_value=replacement)
async def append_rows(requests, **kwargs):
nonlocal calls
del kwargs
request = await anext(requests)
streams.append(request.write_stream)
calls += 1
if calls == 1:
raise asyncio.TimeoutError()
if calls == 2:
return _async_gen(self._response(7, "permission denied"))
if request.write_stream == self._STREAM:
if calls == 3:
raise asyncio.TimeoutError()
return _async_gen(self._response(6, "offset already exists"))
return _async_gen(self._response())
client.append_rows.side_effect = append_rows
client.finalize_write_stream = mock.AsyncMock()
processor = self._make_processor(
dummy_arrow_schema,
write_client=client,
create_stream=create_stream,
max_retries=1,
)
await processor._write_rows_with_retry([{"batch": "a"}])
await processor._write_rows_with_retry([{"batch": "b"}])
assert streams == [self._STREAM, self._STREAM, replacement]
assert processor._next_offset == 1
assert processor.get_drop_stats()["non_retryable"] == 1
create_stream.assert_awaited_once_with()
@pytest.mark.asyncio
@pytest.mark.parametrize("already_exists_in_band", [False, True])
async def test_first_attempt_already_exists_desynchronizes_stream(
self, dummy_arrow_schema, already_exists_in_band
):
"""An occupied offset cannot confirm a batch with no ambiguous attempt."""
client = mock.MagicMock()
async def append_rows(requests, **kwargs):
del kwargs
await anext(requests)
if already_exists_in_band:
return _async_gen(self._response(6, "offset already exists"))
raise api_exceptions.AlreadyExists("offset already exists")
client.append_rows.side_effect = append_rows
processor = self._make_processor(
dummy_arrow_schema, write_client=client, max_retries=1
)
await processor._write_rows_with_retry([{"a": 1}])
assert processor._next_offset == 0
assert processor._offset_desynced
assert processor.get_drop_stats()["offset_conflict"] == 1
@pytest.mark.asyncio
@pytest.mark.parametrize(
("error", "code"),
[
(api_exceptions.NotFound("stream gone"), None),
(api_exceptions.OutOfRange("offset rejected"), None),
(None, 5),
(None, 11),
],
)
async def test_offset_conflict_rotates_before_next_batch(
self, dummy_arrow_schema, error, code
):
client = mock.MagicMock()
offsets = []
streams = []
calls = 0
replacement = self._STREAM.replace("committed-1", "committed-2")
create_stream = mock.AsyncMock(return_value=replacement)
async def append_rows(requests, **kwargs):
nonlocal calls
del kwargs
request = [request async for request in requests][0]
offsets.append(request.offset)
streams.append(request.write_stream)
calls += 1
if calls == 1:
if error is not None:
raise error
return _async_gen(self._response(code, "offset rejected"))
return _async_gen(self._response())
client.append_rows.side_effect = append_rows
client.finalize_write_stream = mock.AsyncMock()
processor = self._make_processor(
dummy_arrow_schema,
write_client=client,
create_stream=create_stream,
)
await processor._write_rows_with_retry([{"a": 1}])
await processor._write_rows_with_retry([{"a": 2}])
assert processor.get_drop_stats()["offset_conflict"] == 1
assert offsets == [0, 0]
assert streams == [self._STREAM, replacement]
create_stream.assert_awaited_once_with()
client.finalize_write_stream.assert_not_awaited()
assert self._STREAM in processor._pending_finalize_streams
@pytest.mark.asyncio
async def test_rotation_does_not_wait_for_old_stream_finalization(
self, dummy_arrow_schema
):
"""A stuck finalizer cannot block writes on a replacement stream."""
client = mock.MagicMock()
replacement = self._STREAM.replace("committed-1", "committed-2")
create_stream = mock.AsyncMock(return_value=replacement)
async def append_rows(requests, **kwargs):
del kwargs
request = await anext(requests)
assert request.write_stream == replacement
return _async_gen(self._response())
async def never_finalize(**kwargs):
del kwargs
await asyncio.Event().wait()
client.append_rows.side_effect = append_rows
client.finalize_write_stream = mock.AsyncMock(side_effect=never_finalize)
processor = self._make_processor(
dummy_arrow_schema,
write_client=client,
create_stream=create_stream,
)
processor._offset_desynced = True
await asyncio.wait_for(
processor._write_rows_with_retry([{"a": 1}]), timeout=0.1
)
assert processor.write_stream == replacement
assert processor._next_offset == 1
assert self._STREAM in processor._pending_finalize_streams
@pytest.mark.asyncio
async def test_rotation_creation_failure_drops_during_backoff(
self, dummy_arrow_schema
):
"""A failed replacement counts later backoff-window batches as dropped."""
client = mock.MagicMock()
client.append_rows = mock.AsyncMock()
create_stream = mock.AsyncMock(
side_effect=api_exceptions.ServiceUnavailable("quota unavailable")
)
processor = self._make_processor(
dummy_arrow_schema,
write_client=client,
create_stream=create_stream,
)
processor._offset_desynced = True
await processor._write_rows_with_retry([{"a": 1}])
await processor._write_rows_with_retry([{"a": 2}, {"a": 3}])
create_stream.assert_awaited_once_with()
client.append_rows.assert_not_awaited()
assert processor.get_drop_stats()["offset_conflict"] == 3
@pytest.mark.asyncio
async def test_ambiguous_exhaustion_poison_stream_and_rotates(
self, dummy_arrow_schema
):
client = mock.MagicMock()
calls = 0
replacement = self._STREAM.replace("committed-1", "committed-2")
create_stream = mock.AsyncMock(return_value=replacement)
async def append_rows(requests, **kwargs):
nonlocal calls
del kwargs
await anext(requests)
calls += 1
if calls == 1:
raise asyncio.TimeoutError()
return _async_gen(self._response())
client.append_rows.side_effect = append_rows
client.finalize_write_stream = mock.AsyncMock()
processor = self._make_processor(
dummy_arrow_schema,
write_client=client,
create_stream=create_stream,
)
await processor._write_rows_with_retry([{"a": 1}])
await processor._write_rows_with_retry([{"a": 2}])
assert processor.get_drop_stats()["retry_exhausted"] == 1
assert processor._next_offset == 1
create_stream.assert_awaited_once_with()
@pytest.mark.asyncio
async def test_shutdown_finalizes_terminal_worker_and_retries_failure(
self, dummy_arrow_schema
):
client = mock.MagicMock()
client.finalize_write_stream = mock.AsyncMock(
side_effect=[api_exceptions.ServiceUnavailable("try again"), None]
)
processor = self._make_processor(dummy_arrow_schema, write_client=client)
terminal_worker = asyncio.create_task(asyncio.sleep(0))
await terminal_worker
processor._batch_processor_task = terminal_worker
await processor.shutdown()
await processor.shutdown()
assert client.finalize_write_stream.await_count == 2
@pytest.mark.asyncio
@pytest.mark.parametrize("method", ["shutdown", "close"])
async def test_finalization_respects_remaining_close_budget(
self, dummy_arrow_schema, method
):
client = mock.MagicMock()
finalize_started = asyncio.Event()
finalize_cancelled = asyncio.Event()
async def hang_during_finalize(**kwargs):
del kwargs
finalize_started.set()
try:
await asyncio.Event().wait()
except asyncio.CancelledError:
finalize_cancelled.set()
raise
client.finalize_write_stream = mock.AsyncMock(
side_effect=hang_during_finalize
)
processor = self._make_processor(dummy_arrow_schema, write_client=client)
processor.shutdown_timeout = 0.05
if method == "shutdown":
processor._batch_processor_task = asyncio.create_task(asyncio.sleep(0.03))
started_at = asyncio.get_running_loop().time()
if method == "shutdown":
await processor.shutdown(timeout=0.05)
else:
await processor.close()
elapsed = asyncio.get_running_loop().time() - started_at
assert elapsed < 0.2
assert finalize_started.is_set()
assert finalize_cancelled.is_set()
def test_missing_committed_offset_desynchronizes_without_assertion(
self, dummy_arrow_schema
):
processor = self._make_processor(dummy_arrow_schema)
processor._confirm_committed_delivery(None, row_count=2)
assert processor._next_offset == 0
assert processor._offset_desynced
@pytest.mark.asyncio
async def test_plugin_creates_committed_stream(self):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
)
client = mock.MagicMock()
client.create_write_stream = mock.AsyncMock(
return_value=mock.MagicMock(name=self._STREAM)
)
client.create_write_stream.return_value.name = self._STREAM
stream_name = await plugin._create_committed_write_stream(client)
assert stream_name == self._STREAM
kwargs = client.create_write_stream.await_args.kwargs
assert kwargs["parent"] == (
f"projects/{PROJECT_ID}/datasets/{DATASET_ID}/tables/{TABLE_ID}"
)
assert kwargs["write_stream"].type_.name == "COMMITTED"
@pytest.mark.asyncio
async def test_config_wires_committed_stream_into_batch_processor(
self, dummy_arrow_schema
):
"""The public opt-in config constructs an offset-aware processor."""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
exactly_once_delivery=True
)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
plugin.arrow_schema = dummy_arrow_schema
plugin._credentials = mock.MagicMock(quota_project_id=None)
client = mock.MagicMock()
client.finalize_write_stream = mock.AsyncMock()
client.close = mock.AsyncMock()
create_stream = mock.AsyncMock(return_value=self._STREAM)
with (
mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
return_value=client,
),
mock.patch.object(
plugin, "_create_committed_write_stream", create_stream
),
):
state = await plugin._get_loop_state()
assert state.batch_processor.exactly_once_delivery
assert state.batch_processor.write_stream == self._STREAM
assert state.batch_processor._create_stream is not None
await plugin.shutdown()
create_stream.assert_awaited_once_with(client)
# -----------------------------------------------------------------------------
# ADK 2.0 minimum producer cut
#
# Coverage matrix:
# A1 / A2 attributes.adk.{schema_version, app_name} on every row
# A3 attributes.adk.source_event_id on Event-originating rows
# C1 attributes.adk.node {path, run_id, parent_run_id}
# C2 attributes.adk.branch
# C3 attributes.adk.scope {id, kind}
# C4 AGENT_TRANSFER emit
# C5 EVENT_COMPACTION emit (preserves fractional float epoch)
# C6 AGENT_STATE_CHECKPOINT emit (both shapes) + id-stabilization
# C7 TOOL_PAUSED with pause_kind / function_call_id
# HITL non-routing to TOOL_COMPLETED
# user-message TOOL_COMPLETED with pause_kind='tool'
# C8 attributes.adk.{route, render_ui_widgets, rewind_before_invocation_id}
# D1 on_state_change_callback removed
# -----------------------------------------------------------------------------
def test_derive_scope_unscoped():
"""C3: None isolation_scope → scope = null."""
assert bigquery_agent_analytics_plugin._derive_scope(None) is None
def test_derive_scope_node_run_bare():
"""C3: bare 'name@run_id' classifies as node_run (not function_call)."""
scope = bigquery_agent_analytics_plugin._derive_scope("loopA@42")
assert scope == {"id": "loopA@42", "kind": "node_run"}
def test_derive_scope_node_run_path():
"""C3: 'parent/name@run_id' classifies as node_run."""
scope = bigquery_agent_analytics_plugin._derive_scope("wf/A@1/B@2")
assert scope == {"id": "wf/A@1/B@2", "kind": "node_run"}
def test_derive_scope_function_call_provider_id():
"""C3: model-provided FC IDs (call_*, toolu_*) classify as function_call."""
for fc_id in ("call_abc123", "toolu_xyz", "adk-fc-1"):
scope = bigquery_agent_analytics_plugin._derive_scope(fc_id)
assert scope == {"id": fc_id, "kind": "function_call"}, fc_id
def test_derive_scope_empty_string_unknown():
"""C3: empty/non-string anomalies classify as unknown."""
scope = bigquery_agent_analytics_plugin._derive_scope("")
assert scope == {"id": "", "kind": "unknown"}
def test_d1_on_state_change_callback_removed():
"""D1: the deprecated stub is gone from the public surface."""
assert not hasattr(
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin,
"on_state_change_callback",
)
class TestAdkEnvelope:
"""A1 / A2 / A3 / C1 / C2 / C3 / C8 envelope shape on emitted rows."""
@pytest.mark.asyncio
async def test_envelope_on_non_event_row(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""USER_MESSAGE_RECEIVED has no source Event → A1/A2 only, A3/C1/C2/C3 null."""
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(role="user", parts=[types.Part(text="hi")]),
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "USER_MESSAGE_RECEIVED")
attributes = json.loads(log_entry["attributes"])
adk = attributes["adk"]
# A1: schema_version always present.
assert adk["schema_version"] == (
bigquery_agent_analytics_plugin._ADK_ENVELOPE_SCHEMA_VERSION
)
# A2: app_name always present (from session).
assert adk["app_name"] == "test_app"
# A3 / C1 / C2 / C3 absent on rows without an originating Event.
assert "source_event_id" not in adk
assert "node" not in adk
assert "branch" not in adk
assert "scope" not in adk
@pytest.mark.asyncio
async def test_envelope_on_event_row(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""STATE_DELTA from on_event_callback carries the full envelope."""
state_delta = {"k": "v"}
event = event_lib.Event(
author="agent_a",
branch="branch-x",
actions=event_actions_lib.EventActions(state_delta=state_delta),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
_assert_common_fields(log_entry, "STATE_DELTA")
attributes = json.loads(log_entry["attributes"])
adk = attributes["adk"]
assert adk["schema_version"] == (
bigquery_agent_analytics_plugin._ADK_ENVELOPE_SCHEMA_VERSION
)
assert adk["app_name"] == "test_app"
# A3: real Event.id (model_post_init auto-assigns a UUID).
assert adk["source_event_id"] == event.id
assert len(event.id) == 36 # sanity
# C2: branch passthrough.
assert adk["branch"] == "branch-x"
# C1: node defaults to path="" with run_id="" and parent_run_id=null
# (no synthesis). run_id / parent_run_id are NodeInfo @property values
# parsed from path.
assert adk["node"]["path"] == ""
assert adk["node"]["run_id"] == ""
assert adk["node"]["parent_run_id"] is None
@pytest.mark.asyncio
async def test_envelope_node_with_parent_run_id(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""C1: run_id / parent_run_id are derived from NodeInfo for a nested path.
For path "wf/A@1/B@2": run_id is the leaf node's run_id ("2") and
parent_run_id is the parent node's run_id ("1").
"""
event = event_lib.Event(
author="agent_b",
actions=event_actions_lib.EventActions(state_delta={"k": "v"}),
)
event.node_info.path = "wf/A@1/B@2"
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
adk = json.loads(log_entry["attributes"])["adk"]
assert adk["node"]["path"] == "wf/A@1/B@2"
assert adk["node"]["run_id"] == "2"
assert adk["node"]["parent_run_id"] == "1"
class TestC4AgentTransfer:
@pytest.mark.asyncio
async def test_agent_transfer_emits_from_to_payload(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
event = event_lib.Event(
author="root_agent",
actions=event_actions_lib.EventActions(
transfer_to_agent="specialist_agent"
),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
transfers = [r for r in rows if r["event_type"] == "AGENT_TRANSFER"]
assert len(transfers) == 1
content = json.loads(transfers[0]["content"])
assert content == {
"from_agent": "root_agent",
"to_agent": "specialist_agent",
}
class TestC5EventCompaction:
@pytest.mark.asyncio
async def test_event_compaction_preserves_float_precision(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""C5: fractional float-epoch seconds must survive the producer."""
compaction = event_actions_lib.EventCompaction(
start_timestamp=1700000000.125,
end_timestamp=1700000003.875,
compacted_content=types.Content(
role="model", parts=[types.Part(text="summary")]
),
)
event = event_lib.Event(
author="agent",
actions=event_actions_lib.EventActions(compaction=compaction),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
compactions = [r for r in rows if r["event_type"] == "EVENT_COMPACTION"]
assert len(compactions) == 1
content = json.loads(compactions[0]["content"])
assert content["start_timestamp"] == 1700000000.125
assert content["end_timestamp"] == 1700000003.875
assert content["start_timestamp"] != int(content["start_timestamp"])
class TestC6AgentStateCheckpoint:
@pytest.mark.asyncio
async def test_checkpoint_state_only(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""{agent_state: {...}, end_of_agent: None} emits a CHECKPOINT row."""
event = event_lib.Event(
author="agent",
actions=event_actions_lib.EventActions(
agent_state={"step": 3, "ctx": "abc"}
),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
cps = [r for r in rows if r["event_type"] == "AGENT_STATE_CHECKPOINT"]
assert len(cps) == 1
content = json.loads(cps[0]["content"])
assert content["agent_state"] == {"step": 3, "ctx": "abc"}
assert content["end_of_agent"] is False
@pytest.mark.asyncio
async def test_checkpoint_end_of_agent_only(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""{agent_state: None, end_of_agent: True} is a valid CHECKPOINT shape."""
event = event_lib.Event(
author="agent",
actions=event_actions_lib.EventActions(end_of_agent=True),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
cps = [r for r in rows if r["event_type"] == "AGENT_STATE_CHECKPOINT"]
assert len(cps) == 1
content = json.loads(cps[0]["content"])
assert content["agent_state"] is None
assert content["end_of_agent"] is True
@pytest.mark.asyncio
async def test_checkpoint_carries_real_source_event_id(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""v3 regression guard: Event.model_post_init auto-assigns id, so a
checkpoint Event constructed without explicit id still surfaces a real
36-char UUID in attributes.adk.source_event_id."""
event = event_lib.Event(
author="agent",
actions=event_actions_lib.EventActions(end_of_agent=True),
)
assert event.id and len(event.id) == 36
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
cps = [r for r in rows if r["event_type"] == "AGENT_STATE_CHECKPOINT"]
assert len(cps) == 1
adk = json.loads(cps[0]["attributes"])["adk"]
assert adk["source_event_id"] == event.id
class TestC7ToolPauseAndComplete:
@pytest.mark.asyncio
async def test_tool_paused_non_hitl_pause_kind_tool(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
fc = types.FunctionCall(
id="call-1", name="long_running_search", args={"q": "x"}
)
event = event_lib.Event(
author="agent",
content=types.Content(
role="model", parts=[types.Part(function_call=fc)]
),
long_running_tool_ids={"call-1"},
actions=event_actions_lib.EventActions(),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
pauses = [r for r in rows if r["event_type"] == "TOOL_PAUSED"]
assert len(pauses) == 1
# C7 pair keys live UNDER ``attributes.adk`` so the consumer SQL on
# ``JSON_VALUE(attributes, '$.adk.function_call_id')`` resolves.
adk = json.loads(pauses[0]["attributes"])["adk"]
assert adk["pause_kind"] == "tool"
assert adk["function_call_id"] == "call-1"
@pytest.mark.asyncio
async def test_tool_paused_hitl_pause_kind(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""C7: HITL long-running call → pause_kind derived from NAME, not id."""
fc = types.FunctionCall(
id="call-hitl-1", name="adk_request_confirmation", args={}
)
event = event_lib.Event(
author="agent",
content=types.Content(
role="model", parts=[types.Part(function_call=fc)]
),
long_running_tool_ids={"call-hitl-1"},
actions=event_actions_lib.EventActions(),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
pauses = [r for r in rows if r["event_type"] == "TOOL_PAUSED"]
assert len(pauses) == 1
adk = json.loads(pauses[0]["attributes"])["adk"]
assert adk["pause_kind"] == "hitl_confirmation"
assert adk["function_call_id"] == "call-hitl-1"
@pytest.mark.asyncio
async def test_user_message_function_response_emits_tool_completed(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""C7: non-HITL function_response in a user message → TOOL_COMPLETED
with pause_kind='tool' (this is the long-running resume path)."""
fr = types.FunctionResponse(
id="call-1", name="long_running_search", response={"hits": 7}
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(
role="user", parts=[types.Part(function_response=fr)]
),
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
completed = [r for r in rows if r["event_type"] == "TOOL_COMPLETED"]
assert len(completed) == 1
adk = json.loads(completed[0]["attributes"])["adk"]
assert adk["pause_kind"] == "tool"
assert adk["function_call_id"] == "call-1"
@pytest.mark.asyncio
async def test_hitl_user_message_does_not_emit_tool_completed(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""C7 HITL non-routing: an adk_request_confirmation function_response in
a user message emits ONLY HITL_CONFIRMATION_REQUEST_COMPLETED, never
TOOL_COMPLETED."""
fr = types.FunctionResponse(
id="call-hitl-1",
name="adk_request_confirmation",
response={"approved": True},
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(
role="user", parts=[types.Part(function_response=fr)]
),
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
types_emitted = {r["event_type"] for r in rows}
assert "HITL_CONFIRMATION_REQUEST_COMPLETED" in types_emitted
assert "TOOL_COMPLETED" not in types_emitted
class TestC8ActionAttributes:
@pytest.mark.asyncio
async def test_route_and_rewind_flat_under_attributes_adk(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""C8: route / rewind_before_invocation_id mirror under
attributes.adk.* (flat-with-prefix, NOT nested under .actions.)."""
event = event_lib.Event(
author="agent",
actions=event_actions_lib.EventActions(
state_delta={"k": "v"}, # to ensure an emit happens
route="branch_b",
rewind_before_invocation_id="inv-earlier",
),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
adk = json.loads(log_entry["attributes"])["adk"]
# Flat-with-prefix mirror under attributes.adk.*.
assert adk["route"] == "branch_b"
assert adk["rewind_before_invocation_id"] == "inv-earlier"
# Not nested under .actions.
assert "actions" not in adk
class TestWorkflowNodeEvents:
"""Workflow node outputs and failures are observable through the plugin."""
@pytest.mark.asyncio
@pytest.mark.parametrize("output", [{"id": 7}, ["a", "b"], "done"])
async def test_node_output_preserves_payload_and_identity(
self,
output,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Function-node payloads produce one identity-bearing NODE_OUTPUT row."""
event = event_lib.Event(
author="step",
output=output,
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert row["event_type"] == "NODE_OUTPUT"
stored_output = (
json.loads(row["content"])
if isinstance(output, (dict, list))
else row["content"]
)
assert stored_output == output
node = json.loads(row["attributes"])["adk"]["node"]
assert node["path"] == "wf@1/step@2"
assert node["run_id"] == "2"
@pytest.mark.asyncio
async def test_node_output_preserves_pydantic_payload(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Pydantic node results remain queryable as structured JSON."""
class Result(BaseModel):
answer: int
event = event_lib.Event(
author="step",
output=Result(answer=42),
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert json.loads(row["content"]) == {"answer": 42}
@pytest.mark.asyncio
async def test_output_and_state_delta_emit_separate_rows(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""A node event preserves both its state change and returned output."""
event = event_lib.Event(
author="step",
output={"result": 1},
actions=event_actions_lib.EventActions(state_delta={"count": 1}),
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
assert [row["event_type"] for row in rows] == [
"STATE_DELTA",
"NODE_OUTPUT",
]
@pytest.mark.asyncio
async def test_node_error_uses_sanitized_error_column(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Workflow failures produce an error row with their node identity."""
event = event_lib.Event(
author="step",
error_code="ValueError",
error_message="invalid input",
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert row["event_type"] == "NODE_ERROR"
assert row["status"] == "ERROR"
assert row["error_message"] == "invalid input"
assert json.loads(row["content"])["error_code"] == "ValueError"
@pytest.mark.asyncio
async def test_partial_node_error_does_not_duplicate_failure_row(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Partial events cannot produce durable NODE_ERROR rows."""
event = event_lib.Event(
author="step",
error_code="ValueError",
error_message="invalid input",
partial=True,
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
mock_write_client.append_rows.assert_not_called()
@pytest.mark.asyncio
@pytest.mark.parametrize(
("error_code", "finish_reason"),
[
("MAX_TOKENS", types.FinishReason.MAX_TOKENS),
("MODEL_ARMOR", None),
# An enum-valued error_code must classify the same as its string
# form, whether or not the model layer normalizes it first.
(types.FinishReason.MAX_TOKENS, types.FinishReason.MAX_TOKENS),
(types.BlockedReason.SAFETY, None),
],
)
async def test_model_termination_does_not_produce_node_error(
self,
error_code,
finish_reason,
bq_plugin_inst,
mock_write_client,
invocation_context,
):
"""Model termination diagnostics remain LLM_RESPONSE-only telemetry."""
event = event_lib.Event(
author="agent",
error_code=error_code,
error_message="model stopped",
finish_reason=finish_reason,
node_info=event_lib.NodeInfo(path="wf@1/agent@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
mock_write_client.append_rows.assert_not_called()
def test_model_termination_codes_match_enum_instances(self):
"""Enum-valued termination codes match the string-valued lookup set.
The set is built from ``reason.value``, so membership relies on the genai
reason enums subclassing ``str``. Pin both that property and the pydantic
coercion that normalizes an enum-valued ``error_code`` on ``Event``, so a
change to either is caught here rather than silently reclassifying model
terminations as node failures.
"""
codes = bigquery_agent_analytics_plugin._LLM_RESPONSE_ERROR_CODES
for reason in (types.FinishReason.MAX_TOKENS, types.BlockedReason.SAFETY):
assert isinstance(reason, str)
assert reason in codes
assert reason.value in codes
assert event_lib.Event(author="a", error_code=reason).error_code in codes
assert "ValueError" not in codes
@pytest.mark.asyncio
async def test_content_and_output_event_preserves_node_output(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""A node's distinct message and output both remain observable."""
event = event_lib.Event(
author="step",
content=types.Content(parts=[types.Part(text="progress")]),
output={"result": 1},
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
node_outputs = [row for row in rows if row["event_type"] == "NODE_OUTPUT"]
assert len(node_outputs) == 1
assert json.loads(node_outputs[0]["content"]) == {"result": 1}
@pytest.mark.asyncio
async def test_error_and_output_event_preserves_both_node_rows(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""A failing node can retain a diagnostic output beside its error."""
event = event_lib.Event(
author="step",
error_code="ValueError",
error_message="partial result",
output={"processed": 3},
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
assert [row["event_type"] for row in rows] == [
"NODE_ERROR",
"NODE_OUTPUT",
]
@pytest.mark.asyncio
@pytest.mark.parametrize(
"event",
[
event_lib.Event(
author="step",
output=None,
node_info=event_lib.NodeInfo(path="wf@1/step@2"),
),
event_lib.Event(
author="agent",
content=types.Content(parts=[types.Part(text="answer")]),
output="answer",
node_info=event_lib.NodeInfo(
path="wf@1/agent@2", message_as_output=True
),
),
],
ids=("none", "message-as-output"),
)
async def test_non_output_events_do_not_duplicate_node_rows(
self,
event,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""Empty and message-delegated events do not add NODE_OUTPUT rows."""
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
assert all(row["event_type"] != "NODE_OUTPUT" for row in rows)
class TestViewDefsRegistration:
"""The plugin's own per-event-type view defs cover the new types."""
def test_new_event_types_registered_in_view_defs(self):
defs = bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS
for event_type in (
"AGENT_TRANSFER",
"EVENT_COMPACTION",
"AGENT_STATE_CHECKPOINT",
"TOOL_PAUSED",
):
assert event_type in defs, f"{event_type} missing from _EVENT_VIEW_DEFS"
assert isinstance(defs[event_type], list)
def test_tool_paused_view_extracts_pair_keys(self):
cols = "\n".join(
bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS["TOOL_PAUSED"]
)
assert "$.adk.pause_kind" in cols
assert "$.adk.function_call_id" in cols
def test_compaction_view_preserves_float_and_widens(self):
cols = "\n".join(
bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS["EVENT_COMPACTION"]
)
# Float passthrough for diagnostics + TIMESTAMP_MICROS widening
# (TIMESTAMP_SECONDS would truncate fractional windows).
assert "AS FLOAT64) AS start_seconds" in cols
assert "TIMESTAMP_MICROS" in cols
assert "TIMESTAMP_SECONDS" not in cols
def test_tool_completed_view_exposes_pair_keys(self):
"""v_tool_completed can do the pause/completion join end-to-end."""
cols = "\n".join(
bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS["TOOL_COMPLETED"]
)
assert "$.adk.pause_kind" in cols
assert "$.adk.function_call_id" in cols
def test_checkpoint_view_exposes_agent_state_type(self):
"""v_agent_state_checkpoint discriminates explicit JSON null from
object-valued agent_state via JSON_TYPE(JSON_QUERY(...))."""
cols = "\n".join(
bigquery_agent_analytics_plugin._EVENT_VIEW_DEFS[
"AGENT_STATE_CHECKPOINT"
]
)
assert "JSON_TYPE(JSON_QUERY(content," in cols
assert "AS agent_state_type" in cols
class TestUnmatchedLongRunningIdFallback:
@pytest.mark.asyncio
async def test_unmatched_long_running_id_emits_tool_paused(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
caplog,
):
"""A long_running_tool_id with no matching function_call part still
emits a pairable TOOL_PAUSED row with pause_kind='tool' + warning."""
event = event_lib.Event(
author="agent",
content=types.Content(
role="model", parts=[types.Part(text="thinking...")]
),
long_running_tool_ids={"orphan-pause-1"},
actions=event_actions_lib.EventActions(),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level("WARNING"):
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
pauses = [r for r in rows if r["event_type"] == "TOOL_PAUSED"]
assert len(pauses) == 1
adk = json.loads(pauses[0]["attributes"])["adk"]
assert adk["pause_kind"] == "tool"
assert adk["function_call_id"] == "orphan-pause-1"
assert any(
"no matching function_call part" in rec.message
for rec in caplog.records
)
@pytest.mark.asyncio
async def test_matched_id_not_double_emitted_by_fallback(
self,
bq_plugin_inst,
mock_write_client,
invocation_context,
dummy_arrow_schema,
):
"""An id with a matching part emits exactly one TOOL_PAUSED row."""
fc = types.FunctionCall(id="call-1", name="long_search", args={})
event = event_lib.Event(
author="agent",
content=types.Content(
role="model", parts=[types.Part(function_call=fc)]
),
long_running_tool_ids={"call-1"},
actions=event_actions_lib.EventActions(),
)
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(mock_write_client, dummy_arrow_schema)
pauses = [r for r in rows if r["event_type"] == "TOOL_PAUSED"]
assert len(pauses) == 1
# ==============================================================================
# Observability controls (otel correlation, custom_metadata allowlist,
# column projection)
# ==============================================================================
class _FakeMetaEvent:
"""Minimal stand-in for an Event carrying custom_metadata."""
def __init__(self, custom_metadata=None):
self.custom_metadata = custom_metadata
def _make_offline_plugin(config):
"""Constructs a plugin without starting the BQ/network path."""
return bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, config=config
)
# --- custom_metadata allowlist ---
def test_parse_custom_metadata_allowlist_exact_and_prefix():
exact, prefixes = (
bigquery_agent_analytics_plugin._parse_custom_metadata_allowlist(
["citation_metadata", "a2a:*", "tool:*"]
)
)
assert exact == frozenset({"citation_metadata"})
assert prefixes == ("a2a:", "tool:")
def test_parse_custom_metadata_allowlist_none():
exact, prefixes = (
bigquery_agent_analytics_plugin._parse_custom_metadata_allowlist(None)
)
assert exact == frozenset()
assert prefixes == ()
def test_custom_metadata_allowed_exact_and_prefix():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_metadata_allowlist=["citation_metadata", "trace:*"]
)
)
assert plugin._custom_metadata_allowed("citation_metadata")
assert plugin._custom_metadata_allowed("trace:foo")
# a plain key is never treated as a prefix
assert not plugin._custom_metadata_allowed("citation")
assert not plugin._custom_metadata_allowed("other")
assert not plugin._custom_metadata_allowed(123)
def test_capture_custom_metadata_namespace_and_allowlist():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_metadata_allowlist=["citation_metadata"]
)
)
event_data = bigquery_agent_analytics_plugin.EventData(
source_event=_FakeMetaEvent(
{"citation_metadata": {"c1": "sql1"}, "other": "drop"}
)
)
attrs: dict = {}
truncated = plugin._capture_custom_metadata(event_data, attrs)
assert truncated is False
assert attrs["custom_metadata"] == {"citation_metadata": {"c1": "sql1"}}
assert "other" not in attrs["custom_metadata"]
def test_capture_custom_metadata_redaction_does_not_set_flag():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_metadata_allowlist=["secrets"]
)
)
event_data = bigquery_agent_analytics_plugin.EventData(
source_event=_FakeMetaEvent({"secrets": {"api_key": "abc", "ok": "v"}})
)
attrs: dict = {}
truncated = plugin._capture_custom_metadata(event_data, attrs)
# redaction returns [REDACTED] without flipping is_truncated
assert truncated is False
assert attrs["custom_metadata"]["secrets"]["api_key"] == "[REDACTED]"
assert attrs["custom_metadata"]["secrets"]["ok"] == "v"
def test_capture_custom_metadata_truncation_sets_flag():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_metadata_allowlist=["big"], max_content_length=5
)
)
event_data = bigquery_agent_analytics_plugin.EventData(
source_event=_FakeMetaEvent({"big": "x" * 100})
)
attrs: dict = {}
truncated = plugin._capture_custom_metadata(event_data, attrs)
assert truncated is True
assert attrs["custom_metadata"]["big"].endswith("...[TRUNCATED]")
def test_capture_custom_metadata_non_allowlisted_absent():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_metadata_allowlist=["citation_metadata"]
)
)
event_data = bigquery_agent_analytics_plugin.EventData(
source_event=_FakeMetaEvent({"unrelated": "v"})
)
attrs: dict = {}
assert plugin._capture_custom_metadata(event_data, attrs) is False
assert attrs == {}
def test_capture_custom_metadata_no_source_event():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_metadata_allowlist=["x"]
)
)
attrs: dict = {}
assert (
plugin._capture_custom_metadata(
bigquery_agent_analytics_plugin.EventData(), attrs
)
is False
)
assert attrs == {}
def test_default_config_has_no_custom_metadata_capture():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
)
assert plugin._custom_metadata_exact == frozenset()
assert plugin._custom_metadata_prefixes == ()
# --- payload column projection ---
def test_validate_payload_column_denylist_accepts_payload_columns():
denied = bigquery_agent_analytics_plugin._validate_payload_column_denylist(
["content", "attributes"]
)
assert denied == frozenset({"content", "attributes"})
@pytest.mark.parametrize(
"bad",
["span_id", "trace_id", "timestamp", "event_type", "is_truncated", "nope"],
)
def test_validate_payload_column_denylist_rejects_protected_or_unknown(bad):
with pytest.raises(ValueError):
bigquery_agent_analytics_plugin._validate_payload_column_denylist([bad])
def test_plugin_construction_rejects_protected_denylist():
with pytest.raises(ValueError):
_make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
payload_column_denylist=["span_id"]
)
)
def test_project_schema_removes_denied_keeps_protected():
full = bigquery_agent_analytics_plugin._get_events_schema()
full_names = {f.name for f in full}
projected = bigquery_agent_analytics_plugin._project_schema(
full, frozenset({"content", "attributes"})
)
names = {f.name for f in projected}
assert "content" not in names and "attributes" not in names
for col in (
"timestamp",
"event_type",
"span_id",
"parent_span_id",
"is_truncated",
"latency_ms",
):
assert col in names
assert names == full_names - {"content", "attributes"}
def test_project_schema_to_arrow_consistency():
# schema-first: the Arrow schema derived from the projected BQ schema
# omits the denied column too.
projected = bigquery_agent_analytics_plugin._project_schema(
bigquery_agent_analytics_plugin._get_events_schema(),
frozenset({"content"}),
)
arrow = bigquery_agent_analytics_plugin.to_arrow_schema(projected)
assert "content" not in arrow.names
assert "span_id" in arrow.names
def test_project_view_columns_drops_denied_refs():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
payload_column_denylist=["attributes"]
)
)
exprs = [
"JSON_VALUE(attributes, '$.model') AS model",
"content AS request_content",
"CAST(JSON_VALUE(latency_ms, '$.total_ms') AS INT64) AS total_ms",
]
kept = plugin._project_view_columns(exprs)
assert "JSON_VALUE(attributes, '$.model') AS model" not in kept
assert "content AS request_content" in kept
assert any("latency_ms" in e for e in kept)
def test_project_view_columns_drops_content_and_latency_refs():
# view degradation is not attributes-only: content and latency_ms too.
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
payload_column_denylist=["content", "latency_ms"]
)
)
exprs = [
"JSON_QUERY(content, '$.response') AS response",
"CAST(JSON_VALUE(latency_ms, '$.total_ms') AS INT64) AS total_ms",
"JSON_VALUE(attributes, '$.model') AS model",
]
kept = plugin._project_view_columns(exprs)
assert kept == ["JSON_VALUE(attributes, '$.model') AS model"]
def test_project_view_columns_noop_without_denylist():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
)
exprs = ["JSON_VALUE(attributes, '$.model') AS model"]
assert plugin._project_view_columns(exprs) == exprs
# --- otel correlation ---
def test_enrich_attributes_captures_valid_ambient_otel_span(callback_context):
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
enable_otel_correlation=True
)
)
ctx = trace.SpanContext(
trace_id=0x1234567890ABCDEF1234567890ABCDEF,
span_id=0xFEEDFACECAFEBEEF,
is_remote=False,
trace_flags=trace.TraceFlags(trace.TraceFlags.SAMPLED),
)
fake_span = mock.Mock()
fake_span.get_span_context.return_value = ctx
with (
mock.patch.object(plugin, "_build_adk_envelope", return_value={}),
mock.patch.object(
bigquery_agent_analytics_plugin.trace,
"get_current_span",
return_value=fake_span,
),
):
attrs = plugin._enrich_attributes(
bigquery_agent_analytics_plugin.EventData(), callback_context
)
assert attrs["otel"]["span_id"] == format(0xFEEDFACECAFEBEEF, "016x")
assert attrs["otel"]["trace_id"] == format(
0x1234567890ABCDEF1234567890ABCDEF, "032x"
)
def test_enrich_attributes_no_otel_when_correlation_disabled(callback_context):
# enable_otel_correlation defaults to False: even with a valid ambient span,
# no attributes.otel is emitted (the feature is opt-in / off by default).
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
)
ctx = trace.SpanContext(
trace_id=0x1234567890ABCDEF1234567890ABCDEF,
span_id=0xFEEDFACECAFEBEEF,
is_remote=False,
trace_flags=trace.TraceFlags(trace.TraceFlags.SAMPLED),
)
fake_span = mock.Mock()
fake_span.get_span_context.return_value = ctx
with (
mock.patch.object(plugin, "_build_adk_envelope", return_value={}),
mock.patch.object(
bigquery_agent_analytics_plugin.trace,
"get_current_span",
return_value=fake_span,
),
):
attrs = plugin._enrich_attributes(
bigquery_agent_analytics_plugin.EventData(), callback_context
)
assert "otel" not in attrs
def test_enrich_attributes_no_otel_when_span_invalid(callback_context):
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
enable_otel_correlation=True
)
)
fake_span = mock.Mock()
fake_span.get_span_context.return_value = trace.INVALID_SPAN_CONTEXT
with (
mock.patch.object(plugin, "_build_adk_envelope", return_value={}),
mock.patch.object(
bigquery_agent_analytics_plugin.trace,
"get_current_span",
return_value=fake_span,
),
):
attrs = plugin._enrich_attributes(
bigquery_agent_analytics_plugin.EventData(), callback_context
)
assert "otel" not in attrs
class _FakeTable:
"""Minimal stand-in for a bigquery.Table for schema-upgrade tests."""
def __init__(self, schema, labels):
self.schema = schema
self.labels = labels
def test_schema_upgrade_adds_columns_when_denylist_relaxed():
# Table was created under a restrictive projection (missing content +
# attributes) but its version label is current. Relaxing the denylist must
# still add the now-desired columns instead of early-returning on the label.
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
)
full = bigquery_agent_analytics_plugin._get_events_schema()
plugin._schema = full # desired = full schema (denylist relaxed)
plugin.full_table_id = "p.d.t"
plugin.client = mock.Mock()
projected = [f for f in full if f.name not in ("content", "attributes")]
existing = _FakeTable(
schema=list(projected),
labels={
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY: (
bigquery_agent_analytics_plugin._SCHEMA_VERSION
)
},
)
plugin._maybe_upgrade_schema(existing)
plugin.client.update_table.assert_called_once()
names = {f.name for f in existing.schema}
assert "content" in names and "attributes" in names
def test_schema_upgrade_noop_when_current_and_complete():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig()
)
full = bigquery_agent_analytics_plugin._get_events_schema()
plugin._schema = full
plugin.full_table_id = "p.d.t"
plugin.client = mock.Mock()
existing = _FakeTable(
schema=list(full),
labels={
bigquery_agent_analytics_plugin._SCHEMA_VERSION_LABEL_KEY: (
bigquery_agent_analytics_plugin._SCHEMA_VERSION
)
},
)
plugin._maybe_upgrade_schema(existing)
plugin.client.update_table.assert_not_called()
def test_attributes_denylist_with_custom_metadata_rejected():
with pytest.raises(ValueError):
_make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
payload_column_denylist=["attributes"],
custom_metadata_allowlist=["citation_metadata"],
)
)
def test_attributes_denylist_without_custom_metadata_ok():
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
payload_column_denylist=["attributes"]
)
)
assert "attributes" in plugin._denied_columns
def test_enrich_attributes_skips_otel_when_attributes_denied(callback_context):
plugin = _make_offline_plugin(
bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
enable_otel_correlation=True,
payload_column_denylist=["attributes"],
)
)
ctx = trace.SpanContext(
trace_id=0x1234567890ABCDEF1234567890ABCDEF,
span_id=0xFEEDFACECAFEBEEF,
is_remote=False,
trace_flags=trace.TraceFlags(trace.TraceFlags.SAMPLED),
)
fake_span = mock.Mock()
fake_span.get_span_context.return_value = ctx
with (
mock.patch.object(plugin, "_build_adk_envelope", return_value={}),
mock.patch.object(
bigquery_agent_analytics_plugin.trace,
"get_current_span",
return_value=fake_span,
),
):
attrs = plugin._enrich_attributes(
bigquery_agent_analytics_plugin.EventData(), callback_context
)
assert "otel" not in attrs
@pytest.mark.asyncio
async def test_content_parts_denied_disables_gcs_offload(
mock_write_client,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_storage_client,
):
# denying content_parts (which holds the offload object reference)
# must disable GCS offload, otherwise the payload is uploaded with no
# retained reference (leak + cost).
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
gcs_bucket_name="test-bucket",
payload_column_denylist=["content_parts"],
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started(
storage_client=mock_storage_client.return_value
)
assert plugin.offloader is None
mock_blob = (
mock_storage_client.return_value.bucket.return_value.blob.return_value
)
large_text = "A" * (32 * 1024 + 1)
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text=large_text)])],
)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
mock_blob.upload_from_string.assert_not_called()
@pytest.mark.asyncio
async def test_after_run_callback_flush_on_run_end(
bq_plugin_inst,
invocation_context,
):
"""after_run_callback skips flush() when flush_on_run_end is False."""
bq_plugin_inst.config.flush_on_run_end = False
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context, "invocation"
)
with mock.patch.object(
bq_plugin_inst, "flush", new_callable=mock.AsyncMock
) as mock_flush:
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
mock_flush.assert_not_called()
bq_plugin_inst.config.flush_on_run_end = True
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context, "invocation"
)
with mock.patch.object(
bq_plugin_inst, "flush", new_callable=mock.AsyncMock
) as mock_flush:
await bq_plugin_inst.after_run_callback(
invocation_context=invocation_context
)
mock_flush.assert_called_once()
@pytest.mark.asyncio
async def test_on_run_error_callback_flush_on_run_end(
bq_plugin_inst,
invocation_context,
):
"""on_run_error_callback skips flush() when flush_on_run_end is False."""
bq_plugin_inst.config.flush_on_run_end = False
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context, "invocation"
)
with mock.patch.object(
bq_plugin_inst, "flush", new_callable=mock.AsyncMock
) as mock_flush:
await bq_plugin_inst.on_run_error_callback(
invocation_context=invocation_context, error=ValueError("Test Error")
)
mock_flush.assert_not_called()
bq_plugin_inst.config.flush_on_run_end = True
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context, "invocation"
)
with mock.patch.object(
bq_plugin_inst, "flush", new_callable=mock.AsyncMock
) as mock_flush:
await bq_plugin_inst.on_run_error_callback(
invocation_context=invocation_context, error=ValueError("Test Error")
)
mock_flush.assert_called_once()
@pytest.mark.asyncio
async def test_background_writer_drains_without_flush(
bq_plugin_inst,
invocation_context,
mock_write_client,
):
"""Background writer drains without explicit flush when flush_on_run_end is False."""
bq_plugin_inst.config.flush_on_run_end = False
bq_plugin_inst.config.batch_flush_interval = 0.1
bigquery_agent_analytics_plugin.TraceManager.push_span(
invocation_context, "invocation"
)
user_message = types.Content(parts=[types.Part(text="What is up?")])
await bq_plugin_inst.on_user_message_callback(
invocation_context=invocation_context, user_message=user_message
)
await bq_plugin_inst.after_run_callback(invocation_context=invocation_context)
deadline = time.time() + 2.0
while mock_write_client.append_rows.call_count < 1 and time.time() < deadline:
await asyncio.sleep(0.05)
assert mock_write_client.append_rows.call_count >= 1
@pytest.mark.asyncio
async def test_both_payload_columns_denied_skips_parse_and_offload(
mock_write_client,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_storage_client,
):
# with both content and content_parts denied, parsing is skipped
# entirely -- no inline summary, no parts, and no GCS upload work.
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
gcs_bucket_name="test-bucket",
payload_column_denylist=["content", "content_parts"],
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started(
storage_client=mock_storage_client.return_value
)
assert plugin.offloader is None
mock_blob = (
mock_storage_client.return_value.bucket.return_value.blob.return_value
)
large_text = "A" * (32 * 1024 + 1)
llm_request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[types.Content(parts=[types.Part(text=large_text)])],
)
await plugin.before_model_callback(
callback_context=callback_context, llm_request=llm_request
)
await plugin.flush()
mock_blob.upload_from_string.assert_not_called()
class TestSafetyLifecycleHardening:
"""Safety and lifecycle invariants."""
def test_invalid_runtime_config_rejected_at_construction(
self, mock_auth_default, mock_bq_client
):
"""Invalid batch/queue/duration/retry settings fail at construction."""
_ = mock_auth_default, mock_bq_client
retry = bigquery_agent_analytics_plugin.RetryConfig
bad_configs = [
dict(batch_size=0),
dict(batch_flush_interval=0.0),
dict(shutdown_timeout=0.0),
dict(queue_max_size=0),
dict(max_content_length=0),
dict(retry_config=retry(max_retries=-1)),
dict(retry_config=retry(initial_delay=-1.0)),
dict(retry_config=retry(multiplier=0.5)),
dict(retry_config=retry(initial_delay=5.0, max_delay=1.0)),
]
for kwargs in bad_configs:
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(**kwargs)
with pytest.raises(ValueError):
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
@pytest.mark.asyncio
async def test_final_attributes_pass_redacts_direct_producers(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""state_delta, custom_tags, nested keys, and JSON blobs are redacted.
These producers copy values into attributes without going through
_recursive_smart_truncate; the final pre-serialization pass must
redact them.
"""
_ = mock_auth_default, mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
custom_tags={"team": "sre", "password": "hunter2"},
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(
extra_attributes={
"state_delta": {
"access_token": "ya29.SECRET",
"nested": {"refresh_token": "1//SECRET2"},
"temp:scratch": "ephemeral",
"plain": "keep-me",
},
"cred_blob": '{"access_token": "SECRETTOK", "expiry": 1}',
},
),
)
await plugin.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attrs = json.loads(log_entry["attributes"])
blob = str(log_entry["attributes"])
assert "ya29.SECRET" not in blob
assert "1//SECRET2" not in blob
assert "SECRETTOK" not in blob
assert "hunter2" not in blob
assert attrs["state_delta"]["access_token"] == "[REDACTED]"
assert attrs["state_delta"]["nested"]["refresh_token"] == "[REDACTED]"
assert attrs["state_delta"]["temp:scratch"] == "[REDACTED]"
assert attrs["state_delta"]["plain"] == "keep-me"
assert attrs["custom_tags"]["password"] == "[REDACTED]"
assert attrs["custom_tags"]["team"] == "sre"
assert json.loads(attrs["cred_blob"])["access_token"] == "[REDACTED]"
@pytest.mark.asyncio
async def test_concurrent_parses_never_share_gcs_paths(self):
"""Two overlapping two-part parses keep call-local trace/span paths.
Regression: with identity stored on the shared parser,
event A resumed after event B's mutation and wrote under B's object
name, overwriting B's part.
"""
uploaded: list[str] = []
class _FakeOffloader:
async def upload_content(self, data, mime, path):
uploaded.append(path)
await asyncio.sleep(0) # force interleave between part uploads
return f"gs://bucket/{path}"
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=_FakeOffloader(), trace_id="ctor", span_id="ctor"
)
def two_parts():
return types.Content(
parts=[
types.Part.from_bytes(data=b"x", mime_type="image/png"),
types.Part.from_bytes(data=b"y", mime_type="image/png"),
]
)
await asyncio.gather(
parser.parse(two_parts(), trace_id="trace-a", span_id="span-a"),
parser.parse(two_parts(), trace_id="trace-b", span_id="span-b"),
)
assert len(uploaded) == 4
assert len(set(uploaded)) == 4, f"path collision: {uploaded}"
assert sum("trace-a/span-a" in p for p in uploaded) == 2
assert sum("trace-b/span-b" in p for p in uploaded) == 2
@pytest.mark.asyncio
async def test_setup_failure_keeps_not_started_then_retries(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""Failed table readiness leaves _started=False, counts the loss, and
a later event retries successfully.
"""
_ = mock_auth_default
mock_bq_client.get_table.side_effect = cloud_exceptions.InternalServerError(
"control plane hiccup"
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin.before_run_callback(invocation_context=invocation_context)
assert plugin._started is False
assert plugin._startup_error is not None
# A row logged while setup is unavailable is counted, not silent.
await plugin._log_event("USER_MESSAGE_RECEIVED", callback_context)
assert plugin.get_drop_stats().get("setup_unavailable", 0) >= 1
# Control plane recovers; retry succeeds on a later event once the
# backoff window elapses.
failed_calls = mock_bq_client.get_table.call_count
mock_bq_client.get_table.side_effect = None
plugin._setup_retry_at = 0.0
await plugin._ensure_started()
assert plugin._started is True
assert plugin._startup_error is None
# Table readiness must re-run on the retry: a cached _schema used to
# skip _ensure_schema_exists entirely, marking the plugin started
# without ever re-checking the table.
assert mock_bq_client.get_table.call_count == failed_calls + 1
@pytest.mark.asyncio
async def test_enabled_false_has_zero_side_effects(
self, mock_auth_default, mock_bq_client, invocation_context
):
"""enabled=False performs no auth/client/table/writer side effects
through Runner callbacks or async context-manager use.
"""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(enabled=False)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
await plugin.before_run_callback(invocation_context=invocation_context)
async with plugin:
pass
assert plugin._started is False
assert plugin.client is None
assert plugin._loop_state_by_loop == {}
mock_auth_default.assert_not_called()
mock_bq_client.get_table.assert_not_called()
@pytest.mark.asyncio
async def test_drop_stats_survive_shutdown_and_include_local_reasons(
self, mock_auth_default, mock_bq_client
):
"""Pre-processor drop reasons are queryable, including after shutdown."""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._count_local_drop("formatter_failed")
plugin._count_local_drop("setup_unavailable")
plugin._count_local_drop("setup_unavailable")
await plugin.shutdown()
stats = plugin.get_drop_stats()
assert stats["formatter_failed"] == 1
assert stats["setup_unavailable"] == 2
def test_json_blob_redaction_survives_escapes_and_arrays(self):
"""Decode-first blob sanitizing defeats raw-substring bypasses.
`{"access\\u005ftoken": ...}` contains no literal sensitive substring,
and arrays of credential objects have no top-level dict. Both must still be
redacted; innocent strings stay unchanged.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
escaped = '{"access\\u005ftoken": "SECRET-A"}'
out, _ = truncate({"blob": escaped}, 10000)
assert "SECRET-A" not in json.dumps(out)
assert json.loads(out["blob"])["access_token"] == "[REDACTED]"
array_blob = '[{"api_key": "SECRET-B"}, {"plain": "ok"}]'
out, _ = truncate({"blob": array_blob}, 10000)
assert "SECRET-B" not in json.dumps(out)
decoded = json.loads(out["blob"])
assert decoded[0]["api_key"] == "[REDACTED]"
assert decoded[1]["plain"] == "ok"
# No redaction needed -> string returned byte-for-byte (no cosmetic
# re-serialization).
innocent = '{"note": "spacing preserved"}'
out, _ = truncate({"blob": innocent}, 10000)
assert out["blob"] == innocent
@pytest.mark.asyncio
async def test_multi_message_offloads_get_unique_paths(self):
"""Two messages in ONE request must not collide at the same part index.
The part ordinal restarts per Content while trace/span are shared, so
paths need the per-parse uid + content ordinal.
"""
uploaded: list[str] = []
class _FakeOffloader:
async def upload_content(self, data, mime, path):
uploaded.append(path)
return f"gs://bucket/{path}"
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=_FakeOffloader(), trace_id="t", span_id="s"
)
request = llm_request_lib.LlmRequest(
contents=[
types.Content(
role="user",
parts=[types.Part.from_bytes(data=b"a", mime_type="image/png")],
),
types.Content(
role="user",
parts=[types.Part.from_bytes(data=b"b", mime_type="image/png")],
),
]
)
await parser.parse(request, trace_id="trace-x", span_id="span-x")
assert len(uploaded) == 2
assert len(set(uploaded)) == 2, f"collision within request: {uploaded}"
@pytest.mark.asyncio
async def test_formatter_failure_log_does_not_leak_payload(
self,
mock_write_client,
invocation_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""The formatter-failure log line must not carry the protected content.
A formatter that embeds content in its exception message would leak it
through exc_info tracebacks; only the exception
class is logged.
"""
_ = mock_auth_default, mock_bq_client
def leaky_formatter(content, event_type):
raise ValueError(f"could not redact: {content}")
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=leaky_formatter
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level(logging.WARNING):
await plugin.on_user_message_callback(
invocation_context=invocation_context,
user_message=types.Content(
parts=[types.Part(text="TOPSECRET-PAYLOAD")]
),
)
assert "TOPSECRET-PAYLOAD" not in caplog.text
# The message is CONSTANT — even the exception class
# name can be payload-derived, so it is no longer logged.
assert "Content formatter failed" in caplog.text
assert "ValueError" not in caplog.text
@pytest.mark.asyncio
async def test_shutdown_folds_processor_drops_into_stats(
self, mock_auth_default, mock_bq_client
):
"""Processor drop counters survive shutdown via the plugin counters.
get_drop_stats() used to read only live loop states, which shutdown()
clears.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
processor = mock.create_autospec(
bigquery_agent_analytics_plugin.BatchProcessor,
instance=True,
spec_set=True,
)
processor.get_drop_stats.return_value = {"queue_full": 2}
state = mock.MagicMock()
state.batch_processor = processor
state.write_client = None
plugin._loop_state_by_loop[asyncio.get_running_loop()] = state
assert plugin.get_drop_stats() == {"queue_full": 2}
await plugin.shutdown()
assert plugin._loop_state_by_loop == {}
assert plugin.get_drop_stats() == {"queue_full": 2}
def test_setstate_backfills_new_runtime_fields(
self, mock_auth_default, mock_bq_client
):
"""Pickles from older code lack the new fields; __setstate__ must
backfill them so get_drop_stats()/_ensure_started don't raise.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
legacy_state = plugin.__getstate__()
for key in ("_local_drop_counts", "_setup_failures", "_setup_retry_at"):
legacy_state.pop(key, None)
restored = (
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin.__new__(
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin
)
)
restored.__setstate__(legacy_state)
assert restored.get_drop_stats() == {}
assert restored._setup_failures == 0
assert restored._setup_retry_at == 0.0
def test_invalid_config_rejects_nan_and_wrong_types(
self, mock_auth_default, mock_bq_client
):
"""NaN and wrong-typed values must fail construction: ordered comparisons alone let NaN pass every range check."""
_ = mock_auth_default, mock_bq_client
retry = bigquery_agent_analytics_plugin.RetryConfig
nan = float("nan")
bad_configs = [
dict(batch_size=nan),
dict(batch_size=2.0),
dict(batch_size=True),
dict(batch_flush_interval=nan),
dict(shutdown_timeout=float("inf")),
dict(queue_max_size="10"),
dict(max_content_length=1.5),
dict(retry_config=retry(max_retries=nan)),
dict(retry_config=retry(initial_delay=nan)),
dict(retry_config=retry(multiplier=nan)),
dict(retry_config=retry(max_delay=nan)),
]
for kwargs in bad_configs:
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(**kwargs)
with pytest.raises(ValueError):
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
def test_json_blob_duplicate_keys_always_reserialized(self):
"""Duplicate JSON members must not defeat the changed-blob check.
json.loads keeps only the last duplicate, so sanitized == parsed can
hold while the raw string still carries an earlier secret member
.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
blob = '{"access_token": "SECRET-DUP", "access_token": "[REDACTED]"}'
out, _ = truncate({"blob": blob}, 10000)
assert "SECRET-DUP" not in json.dumps(out)
assert json.loads(out["blob"])["access_token"] == "[REDACTED]"
def test_mapping_views_are_redacted(self):
"""Mapping types beyond dict must be walked, not stringified.
MappingProxyType/UserDict used to hit the stringify fallback, leaking
sensitive members.
"""
import collections
from types import MappingProxyType
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
proxy = MappingProxyType({"access_token": "SECRET-PROXY"})
userdict = collections.UserDict({"refresh_token": "SECRET-USERDICT"})
out, _ = truncate({"proxy": proxy, "userdict": userdict}, 10000)
dumped = json.dumps(out)
assert "SECRET-PROXY" not in dumped
assert "SECRET-USERDICT" not in dumped
assert out["proxy"]["access_token"] == "[REDACTED]"
assert out["userdict"]["refresh_token"] == "[REDACTED]"
def test_deep_json_blob_fails_closed(self):
"""A blob beyond the fixed nesting limit fails closed on every runtime.
Older Python runtimes raise RecursionError while Python 3.14's iterative
JSON decoder accepts this input. The row must keep flowing with the same
whole-blob sentinel regardless.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
deep = "[" * 10000 + "]" * 10000
out, _ = truncate({"blob": deep}, 500 * 1024)
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]"
def test_json_nesting_limit_ignores_brackets_inside_strings(self):
"""Payload punctuation does not count as structural JSON nesting."""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
blob = json.dumps({"note": "prose " + "[" * 1001 + "]" * 1001})
out, truncated = truncate({"blob": blob}, 500 * 1024)
assert out["blob"] == blob
assert truncated is False
@pytest.mark.asyncio
async def test_shutdown_timeout_counts_lost_rows(self):
"""Rows stranded by a shutdown timeout are counted, not silent.
In-flight batch rows are counted by the cancelled worker and queued
rows by the drain in shutdown().
"""
write_started = asyncio.Event()
async def hung_writer(batch):
write_started.set()
await asyncio.sleep(3600)
processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=mock.MagicMock(),
write_stream="stream",
batch_size=1,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=0.1,
)
with mock.patch.object(
processor, "_write_rows_with_retry", side_effect=hung_writer
):
await processor.start()
await processor.append({"row": 1})
await write_started.wait() # row 1 is in-flight in the hung writer
await processor.append({"row": 2}) # row 2 stays queued
await processor.shutdown(timeout=0.1)
stats = processor.get_drop_stats()
assert stats.get("shutdown_timeout") == 2
@pytest.mark.asyncio
async def test_stale_loop_cleanup_preserves_drop_stats(
self, mock_auth_default, mock_bq_client
):
"""Closed-loop cleanup folds processor counters before deletion
.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
dead_loop = mock.MagicMock()
dead_loop.is_closed.return_value = True
state = mock.MagicMock()
state.batch_processor.get_drop_stats.return_value = {"write_failed": 7}
plugin._loop_state_by_loop[dead_loop] = state
plugin._cleanup_stale_loop_states()
assert plugin._loop_state_by_loop == {}
assert plugin.get_drop_stats().get("write_failed") == 7
def test_setstate_validates_restored_config(
self, mock_auth_default, mock_bq_client
):
"""Legacy pickles with invalid runtime config fail at restore, not as
a silent write-loop skip.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
state = plugin.__getstate__()
state["config"].retry_config.max_retries = float("nan")
restored = (
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin.__new__(
bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin
)
)
with pytest.raises(ValueError):
restored.__setstate__(state)
@pytest.mark.asyncio
async def test_gcs_uploads_use_full_uid_and_create_only(self):
"""Object names carry the full 128-bit uid; uploads are create-only.
32 random bits reach ~50% birthday collision around 77k parses; a
collision must fail the upload instead of rebinding an existing row
to another event's bytes.
"""
uploaded: list[str] = []
class _FakeOffloader:
async def upload_content(self, data, mime, path):
uploaded.append(path)
return f"gs://bucket/{path}"
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=_FakeOffloader(), trace_id="t", span_id="s"
)
await parser.parse(
types.Content(
parts=[types.Part.from_bytes(data=b"a", mime_type="image/png")]
),
trace_id="trace-y",
span_id="span-y",
)
assert len(uploaded) == 1
# .../{span}_{32-hex-uid}_c{n}_p{idx}.png
uid_segment = uploaded[0].split("span-y_")[1].split("_c")[0]
assert len(uid_segment) == 32
# And the sync upload path passes create-only semantics.
bucket = mock.MagicMock()
offloader = bigquery_agent_analytics_plugin.GCSOffloader.__new__(
bigquery_agent_analytics_plugin.GCSOffloader
)
offloader.bucket = bucket
offloader._upload_sync(b"data", "image/png", "p")
_, kwargs = bucket.blob.return_value.upload_from_string.call_args
assert kwargs.get("if_generation_match") == 0
def test_unmaterializable_json_blob_fails_closed(self):
"""Valid JSON that Python cannot materialize becomes a sentinel.
Integers over the interpreter digit limit raise a plain ValueError
from json.loads on syntactically valid JSON; returning the raw string
would leak members the sanitizer never inspected.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
blob = '{"access_token": "SECRET-BIGINT", "n": ' + "9" * 5000 + "}"
out, _ = truncate({"blob": blob}, 500 * 1024)
assert "SECRET-BIGINT" not in json.dumps(out)
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]"
def test_label_only_upgrade_failure_does_not_block_readiness(self):
"""A label-only update_table failure must not fail setup.
The table schema is write-compatible; only the governance label is
stale. Blocking readiness turned every event into setup_unavailable
although writes would succeed.
"""
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
auto_schema_upgrade=True,
)
with mock.patch("google.cloud.bigquery.Client"):
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
project_id=PROJECT_ID,
dataset_id=DATASET_ID,
table_id=TABLE_ID,
config=config,
)
plugin.client = mock.MagicMock()
plugin.full_table_id = f"{PROJECT_ID}.{DATASET_ID}.{TABLE_ID}"
plugin._schema = bigquery_agent_analytics_plugin._get_events_schema()
existing = mock.MagicMock(spec=bigquery.Table)
# Identical schema: no new fields, no updated records.
existing.schema = list(plugin._schema)
existing.labels = {} # stale version label only
plugin.client.get_table.return_value = existing
plugin.client.update_table.side_effect = Exception("labels forbidden")
# Does not raise; the stale label is retried on the next run.
plugin._ensure_schema_exists()
plugin.client.update_table.assert_called_once()
def test_ensure_started_coalesces_across_event_loops(
self, mock_auth_default, mock_bq_client
):
"""_ensure_started must be safe when called from multiple loops.
One shared asyncio.Lock is loop-bound: a second thread's loop raised
'Non-thread-safe operation' and could strand waiters. Per-loop locks make
each loop coalesce independently.
"""
_ = mock_auth_default, mock_bq_client
import threading
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
setup_calls = []
async def fake_lazy_setup(**kwargs):
setup_calls.append(threading.get_ident())
await asyncio.sleep(0.05)
errors: list[BaseException] = []
def run_in_fresh_loop():
try:
asyncio.run(plugin._ensure_started())
except BaseException as e: # noqa: BLE001 - collecting for assertion
errors.append(e)
# Patch from this thread only. patch.object swaps a single shared
# attribute and is not itself thread safe, so entering it from both
# threads raced on _lazy_setup instead of on the code under test.
with mock.patch.object(plugin, "_lazy_setup", side_effect=fake_lazy_setup):
threads = [
platform_thread.create_thread(run_in_fresh_loop) for _ in range(2)
]
for t in threads:
t.start()
for t in threads:
t.join(timeout=10)
assert not errors, f"cross-loop startup raised: {errors}"
def test_concurrent_stale_cleanup_folds_once(
self, mock_auth_default, mock_bq_client
):
"""Repeated/concurrent cleanups fold a processor's counters exactly once.
Read-fold-delete raced: two cleanups produced doubled counts and a
KeyError; the pop-claim makes folding idempotent.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
dead_loop = mock.MagicMock()
dead_loop.is_closed.return_value = True
state = mock.MagicMock()
state.batch_processor.get_drop_stats.return_value = {"write_failed": 7}
plugin._loop_state_by_loop[dead_loop] = state
plugin._cleanup_stale_loop_states()
plugin._cleanup_stale_loop_states() # second pass: nothing left to claim
assert plugin.get_drop_stats().get("write_failed") == 7
@pytest.mark.asyncio
async def test_close_counts_lost_rows_like_shutdown(self):
"""close() shares shutdown()'s drain/accounting for stranded rows
.
"""
write_started = asyncio.Event()
async def hung_writer(batch):
write_started.set()
await asyncio.sleep(3600)
processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=mock.MagicMock(),
write_stream="stream",
batch_size=1,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=0.1,
)
with mock.patch.object(
processor, "_write_rows_with_retry", side_effect=hung_writer
):
await processor.start()
await processor.append({"row": 1})
await write_started.wait()
await processor.append({"row": 2})
await processor.close()
assert processor.get_drop_stats().get("shutdown_timeout") == 2
assert processor._queue.empty()
def test_malformed_container_blobs_fail_closed(self):
"""Container-shaped strings that fail to parse become the sentinel.
One trailing character on valid credential JSON must not bypass
redaction, including with escaped keys.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
cases = [
'{"access\\u005ftoken":"SECRET-TRAIL"} trailing',
'{"access_token":"SECRET-MALFORMED"',
'[{"api_key":"SECRET-ARRAY"}, oops]',
]
for blob in cases:
out, _ = truncate({"blob": blob}, 10000)
assert "SECRET" not in json.dumps(out), blob
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]", blob
def test_over_limit_blob_never_parsed(self):
"""json.loads must not run for container blobs over the content limit.
Materializing a multi-megabyte attribute blocks the callback loop and
allocates far beyond the configured limit.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
big_blob = '{"k": "' + "x" * 5000 + '"}'
with mock.patch.object(
bigquery_agent_analytics_plugin.json,
"loads",
side_effect=AssertionError("json.loads must not be called"),
):
out, truncated = truncate({"blob": big_blob}, 100)
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated
def test_shared_setup_runs_exactly_once_across_loops(
self, mock_auth_default, mock_bq_client
):
"""Concurrent loops coalesce onto ONE shared setup.
Per-loop locks let both loops run _lazy_setup, which mutates shared
clients/executor/parser state across awaits and is not idempotent.
"""
_ = mock_auth_default, mock_bq_client
import threading
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
setup_calls = []
release = threading.Event()
entered = threading.Event()
async def slow_setup(**kwargs):
setup_calls.append(threading.get_ident())
entered.set()
await asyncio.get_running_loop().run_in_executor(None, release.wait)
errors: list[BaseException] = []
barrier = threading.Barrier(2)
def run_in_fresh_loop():
try:
barrier.wait(timeout=5)
asyncio.run(plugin._ensure_started())
except BaseException as e: # noqa: BLE001
errors.append(e)
# Patch from this thread only. patch.object swaps a single shared
# attribute and is not itself thread safe, so entering it from both
# threads raced on _lazy_setup instead of on the code under test.
with mock.patch.object(plugin, "_lazy_setup", side_effect=slow_setup):
threads = [
platform_thread.create_thread(run_in_fresh_loop) for _ in range(2)
]
for t in threads:
t.start()
# Deterministic rendezvous: hold the owner inside setup until BOTH
# threads have entered _ensure_started.
entered.wait(timeout=5)
release.set()
for t in threads:
t.join(timeout=10)
assert not t.is_alive(), "thread failed to terminate"
assert not errors, f"cross-loop startup raised: {errors}"
assert len(setup_calls) == 1, f"shared setup ran {len(setup_calls)} times"
assert plugin._started is True
assert plugin._startup_error is None
assert plugin._setup_future is None
def test_failed_shared_setup_is_consistent_across_loops(
self, mock_auth_default, mock_bq_client
):
"""A failing owner leaves consistent shared state for every waiter."""
_ = mock_auth_default, mock_bq_client
import threading
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
setup_calls = []
release = threading.Event()
entered = threading.Event()
async def failing_setup(**kwargs):
setup_calls.append(threading.get_ident())
entered.set()
await asyncio.get_running_loop().run_in_executor(None, release.wait)
raise RuntimeError("setup boom")
errors: list[BaseException] = []
barrier = threading.Barrier(2)
def run_in_fresh_loop():
try:
barrier.wait(timeout=5)
asyncio.run(plugin._ensure_started())
except BaseException as e: # noqa: BLE001
errors.append(e)
# Patch from this thread only to prevent race conditions on plugin's dictionary
with mock.patch.object(plugin, "_lazy_setup", side_effect=failing_setup):
threads = [
platform_thread.create_thread(run_in_fresh_loop) for _ in range(2)
]
for t in threads:
t.start()
entered.wait(timeout=5)
release.set()
for t in threads:
t.join(timeout=10)
assert not t.is_alive(), "thread failed to terminate"
assert not errors # _ensure_started never raises to callers
assert len(setup_calls) == 1, f"setup ran {len(setup_calls)} times"
assert plugin._started is False
assert plugin._startup_error is not None
assert plugin._setup_future is None # cleared for the next retry window
@pytest.mark.asyncio
async def test_namedtuple_attribute_does_not_drop_row(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""A namedtuple in attributes serializes as a mapping, not a TypeError.
Reconstructing tuple subclasses positionally raised in the final pass
and the safe callback dropped the entire row;
then required the mapping shape so field-name redaction
can run.
"""
_ = mock_auth_default, mock_bq_client
import collections
Point = collections.namedtuple("Point", ["x", "y"])
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(
extra_attributes={"point": Point(1, 2)},
),
)
await plugin.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
attrs = json.loads(log_entry["attributes"])
# Namedtuples serialize as a MAPPING so field-name redaction can run;
# the
# row is still emitted either way.
assert attrs["point"] == {"x": 1, "y": 2}
@pytest.mark.asyncio
async def test_setup_blocked_before_loop_state_does_not_leak(
self, mock_auth_default, mock_bq_client
):
"""A shutdown() that completes while setup is blocked
creating the shared client must abort the resumed setup, publish
nothing, and release every resource the attempt created.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
entered = threading.Event()
release = threading.Event()
def gated_client(*args, **kwargs):
del args, kwargs
entered.set()
release.wait(10)
return mock.MagicMock()
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.bigquery.Client",
side_effect=gated_client,
):
owner = asyncio.create_task(plugin._ensure_started())
while not entered.is_set():
await asyncio.sleep(0.01)
# Shutdown completes fully while setup is blocked in the executor.
await plugin.shutdown()
release.set()
outcome = await owner # aborts internally; never raises
assert outcome == "aborted"
assert plugin._started is False
assert plugin.client is None
assert plugin._executor is None
assert plugin.parser is None
assert plugin.offloader is None
assert plugin._loop_state_by_loop == {}
# A direct start (no row) records no phantom loss; the
# structured outcome lets the row owner count instead.
assert plugin.get_drop_stats().get("shutdown_race", 0) == 0
# The abort is not a service failure: no poisoned backoff window.
assert plugin._startup_error is None
def test_concurrent_shutdown_folds_counters_once(
self, mock_auth_default, mock_bq_client
):
"""Two threads racing into shutdown() must not both be
admitted — the same processors' drop counters were folded twice.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
def make_state():
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock()
state.batch_processor.get_drop_stats = mock.MagicMock(
return_value={"queue_full": 1}
)
return state
for _ in range(2):
# Closed fakes: shutdown claims and folds them without scheduling
# coroutines on them (a non-closed MagicMock loop leaked unawaited
# AsyncMock coroutines).
fake_loop = mock.MagicMock(spec=asyncio.AbstractEventLoop)
fake_loop.is_closed.return_value = True
plugin._loop_state_by_loop[fake_loop] = make_state()
barrier = threading.Barrier(2)
errors = []
def run_shutdown():
try:
barrier.wait(timeout=10)
asyncio.run(plugin.shutdown(timeout=0.1))
except Exception as e: # pylint: disable=broad-except
errors.append(e)
threads = [
platform_thread.create_thread(target=run_shutdown) for _ in range(2)
]
for t in threads:
t.start()
for t in threads:
t.join(timeout=30)
assert not t.is_alive()
assert not errors
# Two states, one queue_full each: exactly one shutdown owner folds
# them, so anything above 2 means double-folding.
assert plugin.get_drop_stats().get("queue_full", 0) == 2
def test_drop_counters_are_thread_safe(
self, mock_auth_default, mock_bq_client
):
"""Concurrent _count_local_drop() increments from
multiple threads must not lose updates.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
increments = 5_000
n_threads = 4
old_interval = sys.getswitchinterval()
sys.setswitchinterval(1e-5)
try:
def worker():
for _ in range(increments):
plugin._count_local_drop("stress")
threads = [
platform_thread.create_thread(target=worker) for _ in range(n_threads)
]
for t in threads:
t.start()
for t in threads:
t.join(timeout=60)
assert not t.is_alive()
finally:
sys.setswitchinterval(old_interval)
assert plugin.get_drop_stats()["stress"] == increments * n_threads
def test_unlimited_mode_scans_entire_emitted_value(self):
"""In unlimited mode the ENTIRE emitted value is
classified — a credential document just past the inspection window
fails closed; escape-free giant quoted prose passes whole.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
ceiling = bigquery_agent_analytics_plugin._MAX_JSON_INSPECT_CHARS
raw = (
'"'
+ "a" * (ceiling + 10)
+ '\\u007b\\"access\\u005ftoken\\":'
+ '\\"R15-UNLIMITED-SECRET\\"\\u007d"'
)
out, truncated = truncate({"blob": raw}, -1)
assert "R15-UNLIMITED-SECRET" not in json.dumps(out)
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
prose = '"' + "hello world " * ((ceiling // 12) + 10) + '"'
out, truncated = truncate({"s": prose}, -1)
assert out["s"] == prose
assert truncated is False
def test_normalizer_redacts_and_bounds(self):
"""The JSON-native normalizer applies
sensitive-key/temp: redaction and the configured length bound, while
preserving sentinels and bracketed prose.
"""
normalize = bigquery_agent_analytics_plugin._normalize_json_native
out, _ = normalize(
{"prompt": [{"role": {"access_token": "R15-NATIVE-SECRET"}}]},
10000,
)
assert "R15-NATIVE-SECRET" not in json.dumps(out)
assert out["prompt"][0]["role"]["access_token"] == "[REDACTED]"
out, replaced = normalize("R15-ROLE-" + "x" * 1_000_000, 10)
assert out == "R15-ROLE-x...[TRUNCATED]"
assert replaced is True
for preserved in ("[FORMATTER_FAILED]", "[bracketed] prose"):
out, replaced = normalize(preserved, 10000)
assert out == preserved
assert replaced is False
def test_normalizer_preserves_post_normalization_key_collisions(self):
"""Normalized keys never silently overwrite an earlier value."""
normalize = bigquery_agent_analytics_plugin._normalize_json_native
unsupported_first, replaced = normalize(
{object(): "unsupported", "[UNSUPPORTED_KEY_1]": "genuine"},
10000,
)
assert unsupported_first == {
"[UNSUPPORTED_KEY_1]": "unsupported",
"[KEY_COLLISION_2][UNSUPPORTED_KEY_1]": "genuine",
}
assert replaced is True
genuine_first, replaced = normalize(
{"[UNSUPPORTED_KEY_1]": "genuine", object(): "unsupported"},
10000,
)
assert genuine_first == {
"[UNSUPPORTED_KEY_1]": "genuine",
"[KEY_COLLISION_2][UNSUPPORTED_KEY_1]": "unsupported",
}
assert replaced is True
marker_reserved, replaced = normalize(
{
object(): "unsupported",
"[KEY_COLLISION_2][UNSUPPORTED_KEY_1]": "reserved",
"[UNSUPPORTED_KEY_1]": "genuine",
},
10000,
)
assert marker_reserved == {
"[UNSUPPORTED_KEY_1]": "unsupported",
"[KEY_COLLISION_2][UNSUPPORTED_KEY_1]": "reserved",
"[KEY_COLLISION_3][UNSUPPORTED_KEY_1]": "genuine",
}
assert replaced is True
budget_reserved, replaced = normalize(
{
"[SANITIZE_BUDGET_EXCEEDED]": "reserved",
"[KEY_COLLISION_1][SANITIZE_BUDGET_EXCEEDED]": "marker",
"omitted": "value",
},
10000,
budget=[3],
)
assert budget_reserved == {
"[SANITIZE_BUDGET_EXCEEDED]": "reserved",
"[KEY_COLLISION_1][SANITIZE_BUDGET_EXCEEDED]": "marker",
"[KEY_COLLISION_2][SANITIZE_BUDGET_EXCEEDED]": (
"[SANITIZE_BUDGET_EXCEEDED]"
),
}
assert replaced is True
@pytest.mark.asyncio
async def test_native_secret_mapping_via_model_field_redacted(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""At the row boundary: a nested model property handing
the parser a raw credential mapping is redacted in the written row.
"""
_ = mock_auth_default, mock_bq_client
class EvilContent(types.Content):
def __getattribute__(self, name):
if name == "role":
return {"access_token": "R15-NATIVE-SECRET"}
return super().__getattribute__(name)
hostile = llm_request_lib.LlmRequest(contents=[EvilContent(parts=[])])
assert type(hostile) is llm_request_lib.LlmRequest
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=lambda content, event_type: hostile
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"LLM_REQUEST",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert "R15-NATIVE-SECRET" not in json.dumps(log_entry, default=str)
assert "[REDACTED]" in json.dumps(log_entry, default=str)
def test_overlimit_prose_prefixed_encoded_string_fails_closed(self):
"""An over-limit quoted value whose EMITTED prefix
hides an escaped container after prose fails closed; escape-free
over-limit quoted prose still raw-truncates.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
raw = (
'"note \\u007b\\"access\\u005ftoken\\":'
'\\"R14-OVERLIMIT-SECRET\\"\\u007d'
+ "x" * 10050
+ '"'
)
out, truncated = truncate({"blob": raw}, 10000)
assert "R14-OVERLIMIT-SECRET" not in json.dumps(out)
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
prose = '"' + "hello world " * 2000 + '"'
out, truncated = truncate({"s": prose}, 1000)
assert out["s"].endswith("...[TRUNCATED]")
assert truncated is True
@pytest.mark.asyncio
async def test_late_detonating_nested_model_normalized(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""A nested model that parses cleanly but plants an
object whose __repr__ raises must be normalized inside the parse
boundary — the row survives Arrow preparation and the payload never
reaches the logs.
"""
_ = mock_auth_default, mock_bq_client
class LateBomb:
def __repr__(self):
raise RuntimeError("R14-LATE-SERIALIZE-SECRET")
class EvilContent(types.Content):
def __getattribute__(self, name):
if name == "role":
return LateBomb()
return super().__getattribute__(name)
hostile = llm_request_lib.LlmRequest(contents=[EvilContent(parts=[])])
assert type(hostile) is llm_request_lib.LlmRequest
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=lambda content, event_type: hostile
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level(logging.WARNING):
await plugin._log_event(
"LLM_REQUEST",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
await asyncio.sleep(0.01)
# The row survives Arrow preparation (exercised by the capture
# helper) with the hostile object replaced by a sentinel.
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
dumped = json.dumps(log_entry, default=str)
assert "R14-LATE-SERIALIZE-SECRET" not in dumped
assert "R14-LATE-SERIALIZE-SECRET" not in caplog.text
assert "[UNSUPPORTED_OBJECT]" in dumped
assert plugin.get_drop_stats().get("arrow_prep_failed", 0) == 0
@pytest.mark.asyncio
async def test_remote_scheduling_failure_keeps_teardown_incomplete(
self, mock_auth_default, mock_bq_client
):
"""An exception from _schedule_remote_drain() itself
counts the state as retained, so shutdown raises instead of
reporting success over live state.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
remote_loop = asyncio.new_event_loop()
thread = platform_thread.create_thread(target=remote_loop.run_forever)
thread.daemon = True
thread.start()
try:
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.get_drop_stats = mock.MagicMock(return_value={})
plugin._loop_state_by_loop[remote_loop] = state
with mock.patch.object(
plugin,
"_schedule_remote_drain",
side_effect=RuntimeError("loop closed during scheduling"),
):
with pytest.raises(
bigquery_agent_analytics_plugin._ShutdownIncompleteError
):
await plugin.shutdown(timeout=2)
assert remote_loop in plugin._loop_state_by_loop
finally:
remote_loop.call_soon_threadsafe(remote_loop.stop)
thread.join(timeout=5)
remote_loop.close()
def test_prose_inside_encoded_string_fails_closed(self):
"""A single valid encoded string whose DECODED content
hides a container after prose fails closed; ordinary quoted prose
(including inner quotes) passes through.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
raw = '"note \\u007b\\"access\\u005ftoken\\":\\"R13-SECRET\\"\\u007d"'
out, truncated = truncate({"blob": raw}, 10000)
assert "R13-SECRET" not in json.dumps(out)
assert out["blob"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
for prose in (
'"just quoted prose"',
json.dumps('he said "hi"'),
):
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
@pytest.mark.asyncio
async def test_nested_hostile_model_subclass_fails_closed(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""A hostile model subclass NESTED inside an
exact-typed formatter result fails closed at the parse boundary — the
row is written with a sentinel and the payload-bearing exception
never reaches the logs.
"""
_ = mock_auth_default, mock_bq_client
class EvilPart(types.Part):
def __getattribute__(self, name):
if name == "file_data":
raise RuntimeError("R13-NESTED-SECRET")
return super().__getattribute__(name)
hostile = types.Content(parts=[EvilPart()])
assert type(hostile) is types.Content # passes the exact-type gate
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=lambda content, event_type: hostile
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level(logging.WARNING):
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert "R13-NESTED-SECRET" not in json.dumps(log_entry, default=str)
assert "R13-NESTED-SECRET" not in caplog.text
assert "[CONTENT_PARSE_FAILED]" in log_entry["content"]
assert log_entry["is_truncated"] is True
assert plugin.get_drop_stats().get("content_parse_failed", 0) == 1
@pytest.mark.asyncio
async def test_failed_remote_drain_fails_coalesced_waiter_too(
self, mock_auth_default, mock_bq_client
):
"""A failed remote drain keeps teardown incomplete for
the coalesced waiter as well — neither caller reports success over
live state.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
remote_loop = asyncio.new_event_loop()
thread = platform_thread.create_thread(target=remote_loop.run_forever)
thread.daemon = True
thread.start()
try:
entered = threading.Event()
release = threading.Event()
async def failing_drain(timeout=None):
del timeout
entered.set()
while not release.is_set():
await asyncio.sleep(0.01)
raise RuntimeError("remote drain fails")
bp = mock.MagicMock(spec=bigquery_agent_analytics_plugin.BatchProcessor)
bp.shutdown = failing_drain
bp.get_drop_stats = mock.MagicMock(return_value={})
state = mock.MagicMock()
state.write_client = None
state.batch_processor = bp
plugin._loop_state_by_loop[remote_loop] = state
owner = asyncio.create_task(plugin.shutdown(timeout=5))
while not entered.is_set():
await asyncio.sleep(0.01)
waiter = asyncio.create_task(plugin.shutdown())
await asyncio.sleep(0.05)
release.set()
with pytest.raises(
bigquery_agent_analytics_plugin._ShutdownIncompleteError
):
await owner
# The retrying waiter hits the same persistent remote failure.
with pytest.raises(
bigquery_agent_analytics_plugin._ShutdownIncompleteError
):
await asyncio.wait_for(waiter, timeout=10)
assert remote_loop in plugin._loop_state_by_loop
finally:
remote_loop.call_soon_threadsafe(remote_loop.stop)
thread.join(timeout=5)
remote_loop.close()
def test_prose_then_encoded_document_redacted(self):
"""An encoded credential document after a stretch of
raw prose in the suffix is still decoded and redacted.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
v = '"note" then "\\u007b\\"access_token\\":\\"R12-SECRET\\"\\u007d"'
out, truncated = truncate({"b": v}, 10000)
assert "R12-SECRET" not in json.dumps(out)
assert "[REDACTED]" in out["b"]
del truncated
# A chain of prose and documents is walked to the depth cap.
chain = (
'"note" one "plain" two'
' "\\u007b\\"refresh_token\\":\\"R12-CHAIN-SECRET\\"\\u007d"'
)
out, _ = truncate({"b": chain}, 10000)
assert "R12-CHAIN-SECRET" not in json.dumps(out)
# An escape hidden in a prose gap cannot be verified.
out, truncated = truncate({"s": '"note" \\then "x"'}, 10000)
assert out["s"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
# Multi-quote prose still passes through.
prose = '"a" and then "b" happened'
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
@pytest.mark.asyncio
async def test_native_subclass_formatter_result_fails_closed(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""A SUBCLASS of a parser-native model shape from the
formatter fails closed at the boundary instead of reaching parser
attribute accesses outside it.
"""
_ = mock_auth_default, mock_bq_client
class SubRequest(llm_request_lib.LlmRequest):
pass
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=lambda content, event_type: SubRequest()
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level(logging.WARNING):
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert (
bigquery_agent_analytics_plugin._FORMATTER_FAILED_SENTINEL
in log_entry["content"]
)
assert "SubRequest" not in caplog.text
assert plugin.get_drop_stats().get("formatter_failed", 0) == 1
@pytest.mark.asyncio
async def test_persistent_teardown_failure_raises_to_all_callers(
self, mock_auth_default, mock_bq_client
):
"""A persistently failing teardown must not report
success to the owner or to retrying waiters.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
entered = asyncio.Event()
release = asyncio.Event()
calls = []
async def always_failing_drain(timeout=None):
del timeout
calls.append(1)
if len(calls) == 1:
entered.set()
await release.wait()
raise RuntimeError("drain always fails")
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock(
side_effect=always_failing_drain
)
state.batch_processor.get_drop_stats = mock.MagicMock(return_value={})
plugin._loop_state_by_loop[asyncio.get_running_loop()] = state
owner = asyncio.create_task(plugin.shutdown(timeout=5))
await entered.wait()
waiter = asyncio.create_task(plugin.shutdown())
await asyncio.sleep(0.05)
release.set()
with pytest.raises(RuntimeError, match="drain always fails"):
await owner
# The retrying waiter becomes the owner, fails the same way, and
# surfaces the failure instead of returning success over live state.
with pytest.raises(RuntimeError, match="drain always fails"):
await asyncio.wait_for(waiter, timeout=5)
assert len(calls) == 2
assert plugin._loop_state_by_loop != {}
def test_unicode_escaped_trailing_document_redacted(self):
"""A trailing quoted JSON document whose decoded
content hides a container behind Unicode escapes is decoded and
redacted; quoted prose and prose suffixes stay untouched.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
v = '"note" "\\u007b\\"access_token\\":\\"R11-SECRET\\"\\u007d"'
out, truncated = truncate({"b": v}, 10000)
assert "R11-SECRET" not in json.dumps(out)
assert "[REDACTED]" in out["b"]
del truncated
# A stray leading escape in the suffix cannot be classified.
out, truncated = truncate({"s": '"note" \\x'}, 10000)
assert out["s"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
for prose in (
'"hello" she said',
'"a" and then "b" happened',
'"note" "just more prose"',
):
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
@pytest.mark.asyncio
async def test_waiter_retries_after_failed_owner_teardown(
self, mock_auth_default, mock_bq_client
):
"""An ordinary teardown exception must not report
successful completion to coalesced waiters; they retry ownership.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
entered = asyncio.Event()
release = asyncio.Event()
calls = []
async def failing_first_drain(timeout=None):
del timeout
calls.append(1)
if len(calls) == 1:
entered.set()
await release.wait()
raise RuntimeError("first drain fails")
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock(
side_effect=failing_first_drain
)
state.batch_processor.get_drop_stats = mock.MagicMock(return_value={})
plugin._loop_state_by_loop[asyncio.get_running_loop()] = state
owner = asyncio.create_task(plugin.shutdown(timeout=5))
await entered.wait()
waiter = asyncio.create_task(plugin.shutdown())
await asyncio.sleep(0.05)
release.set()
# The OWNER must not report success over live state —
# the teardown error propagates to its caller.
with pytest.raises(RuntimeError, match="first drain fails"):
await owner
# The waiter must not have accepted the failed teardown as success:
# it retries ownership, the second drain succeeds, state is claimed.
await asyncio.wait_for(waiter, timeout=5)
assert len(calls) == 2
assert plugin._loop_state_by_loop == {}
@pytest.mark.asyncio
@pytest.mark.filterwarnings("error::RuntimeWarning")
async def test_rejecting_task_factory_does_not_leak_coroutine(
self, mock_auth_default, mock_bq_client
):
"""If the remote loop's task factory rejects task
creation, the drain coroutine is closed instead of leaking.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
remote_loop = asyncio.new_event_loop()
def rejecting_factory(loop, coro, **kwargs):
del loop, coro, kwargs
raise RuntimeError("factory rejects")
remote_loop.set_task_factory(rejecting_factory)
thread = platform_thread.create_thread(target=remote_loop.run_forever)
thread.daemon = True
thread.start()
try:
state = mock.MagicMock()
state.write_client = None
bp = mock.MagicMock(spec=bigquery_agent_analytics_plugin.BatchProcessor)
async def drain(timeout=None):
del timeout
bp.shutdown = drain
bp.get_drop_stats = mock.MagicMock(return_value={})
state.batch_processor = bp
plugin._loop_state_by_loop[remote_loop] = state
# The failed drain keeps teardown incomplete.
with pytest.raises(
bigquery_agent_analytics_plugin._ShutdownIncompleteError
):
await plugin.shutdown(timeout=2)
# The failed drain retains the state; no never-awaited warning
# (filterwarnings turns it into a hard error).
assert remote_loop in plugin._loop_state_by_loop
finally:
remote_loop.call_soon_threadsafe(remote_loop.stop)
thread.join(timeout=5)
remote_loop.close()
def test_unterminated_quoted_container_fails_closed(self):
"""A quoted layer that visibly begins an encoded
container but is missing its final quote fails closed; unterminated
quoted prose passes through.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
v = '"{\\"access_token\\":\\"R10-SECRET\\"}'
out, truncated = truncate({"cache": v}, 10000)
assert "R10-SECRET" not in json.dumps(out)
assert out["cache"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
prose = '"unterminated prose without a container'
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
@pytest.mark.asyncio
async def test_identity_formatter_preserves_native_shapes(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""An identity formatter must not destroy parser-native
shapes (dict/list) that it returns untransformed.
"""
_ = mock_auth_default, mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=lambda content, event_type: content
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"STATE_DELTA",
callback_context,
raw_content={"response": "safe-dict-content"},
event_data=bigquery_agent_analytics_plugin.EventData(),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert "safe-dict-content" in json.dumps(log_entry, default=str)
assert (
bigquery_agent_analytics_plugin._FORMATTER_FAILED_SENTINEL
not in json.dumps(log_entry, default=str)
)
assert plugin.get_drop_stats().get("formatter_failed", 0) == 0
@pytest.mark.asyncio
async def test_waiter_retries_after_cancelled_owner_shutdown(
self, mock_auth_default, mock_bq_client
):
"""A coalesced caller must not claim success when the
owning shutdown was cancelled mid-teardown; it retries ownership and
finishes the job.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
gate = asyncio.Event()
calls = []
async def gated_first_shutdown(timeout=None):
del timeout
calls.append(1)
if len(calls) == 1:
await gate.wait()
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock(
side_effect=gated_first_shutdown
)
state.batch_processor.get_drop_stats = mock.MagicMock(return_value={})
plugin._loop_state_by_loop[asyncio.get_running_loop()] = state
owner = asyncio.create_task(plugin.shutdown(timeout=5))
await asyncio.sleep(0.05)
waiter = asyncio.create_task(plugin.shutdown())
await asyncio.sleep(0.05)
owner.cancel()
with pytest.raises(asyncio.CancelledError):
await owner
# The waiter retried ownership and completed the teardown.
await asyncio.wait_for(waiter, timeout=5)
assert plugin._loop_state_by_loop == {}
assert len(calls) == 2
@pytest.mark.asyncio
async def test_slow_remote_drain_is_retained_without_close_errors(
self, mock_auth_default, mock_bq_client
):
"""A remote drain still running at the deadline is
retained and keeps running remotely; the caller never closes a
coroutine it no longer owns (no 'coroutine already executing').
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
remote_loop = asyncio.new_event_loop()
thread = platform_thread.create_thread(target=remote_loop.run_forever)
thread.daemon = True
thread.start()
try:
release = threading.Event()
drain_finished = threading.Event()
async def slow_drain(timeout=None):
del timeout
while not release.is_set():
await asyncio.sleep(0.01)
drain_finished.set()
bp = mock.MagicMock(spec=bigquery_agent_analytics_plugin.BatchProcessor)
bp.shutdown = slow_drain
bp.get_drop_stats = mock.MagicMock(return_value={})
state = mock.MagicMock()
state.write_client = None
state.batch_processor = bp
plugin._loop_state_by_loop[remote_loop] = state
# The timed-out drain keeps teardown incomplete.
with pytest.raises(
bigquery_agent_analytics_plugin._ShutdownIncompleteError
):
await plugin.shutdown(timeout=0.2)
# Timed out: state retained, no ValueError from closing a running
# coroutine (shutdown would have logged/raised through its guard).
assert remote_loop in plugin._loop_state_by_loop
# The remote drain keeps running to completion on its own loop.
release.set()
assert drain_finished.wait(timeout=5)
finally:
remote_loop.call_soon_threadsafe(remote_loop.stop)
thread.join(timeout=5)
remote_loop.close()
@pytest.mark.asyncio
async def test_formatter_logs_never_carry_payload_derived_names(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""Formatter log lines are constant — payload-derived
result/exception CLASS NAMES never reach the logs.
"""
_ = mock_auth_default, mock_bq_client
secret_result_cls = type("R10_RESULT_SECRET", (), {})
secret_error_cls = type("R10_ERROR_SECRET", (Exception,), {})
outcomes = iter([secret_result_cls(), None])
def formatter(content, event_type):
del content, event_type
value = next(outcomes)
if value is None:
raise secret_error_cls()
return value
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=formatter
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level(logging.WARNING):
for _ in range(2):
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
assert "R10_RESULT_SECRET" not in caplog.text
assert "R10_ERROR_SECRET" not in caplog.text
assert plugin.get_drop_stats().get("formatter_failed", 0) == 2
def test_unicode_ws_and_bom_quoted_layers_fail_closed(self):
"""BOM/NBSP/EM-SPACE prefixes inside quoted JSON layers
are normalized before every shape check, under- and over-limit.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
for pad in ("\u00a0", "\u2003", "\ufeff"):
v = json.dumps(pad + json.dumps({"access_token": "R8-WS-SECRET"}))
out, _ = truncate({"b": v}, 10000)
assert "R8-WS-SECRET" not in json.dumps(out), repr(pad)
secret = "R8-WS-OVER-SECRET-" + "x" * 300
for pad in ("\u00a0", "\u2003", "\ufeff"):
v = json.dumps(
pad + json.dumps({"access_token": secret}), ensure_ascii=False
)
out, truncated = truncate({"b": v}, 120)
assert "R8-WS-OVER-SECRET" not in json.dumps(out), repr(pad)
assert truncated
def test_quoted_prefix_suffix_smuggling_fails_closed(self):
"""Credential JSON smuggled after a harmless quoted
prefix fails closed; container-free quoted prose passes through.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
for v in (
'"note" {"access_token":"R8-SUFFIX-SECRET"}',
'"note" blah {"refresh_token":"R8-SUFFIX-SECRET-2"}',
):
out, truncated = truncate({"b": v}, 10000)
assert "R8-SUFFIX-SECRET" not in json.dumps(out)
assert truncated
prose = '"hello" she said, "twice"'
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
def test_safe_scalar_subclass_str_not_published(self):
"""Subclasses of allowlisted scalar types cannot leak
values through an overridden __str__; base conversions are used.
"""
import enum
import pathlib
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
class Credential(enum.Enum):
access_token = "R8-ENUM-SECRET"
def __str__(self):
return self.value
out, _ = truncate({"c": Credential.access_token}, 10000)
assert "R8-ENUM-SECRET" not in json.dumps(out)
assert out["c"] == "Credential.access_token"
class SneakyPath(pathlib.PurePosixPath):
def __str__(self):
return "R8-PATH-SECRET"
out, _ = truncate({"p": SneakyPath("/tmp/x")}, 10000)
assert "R8-PATH-SECRET" not in json.dumps(out)
assert out["p"] == "/tmp/x"
def test_safe_scalar_truncation_reports_flag(self):
"""An over-limit safe scalar reports truncation."""
import pathlib
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
out, truncated = truncate(pathlib.PurePosixPath("x" * 40), 8)
assert "[TRUNCATED]" in out
assert truncated is True
def test_hostile_container_protocols_fail_closed(self):
"""Raising items()/iteration/field access fails closed
to a sentinel instead of escaping the sanitizer.
"""
import collections.abc
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
class EvilMapping(collections.abc.Mapping):
def __getitem__(self, k):
raise KeyError(k)
def __len__(self):
return 1
def __iter__(self):
return iter(["a"])
def items(self):
raise RuntimeError("R8-MAPPING-SECRET")
class EvilList(list):
def __iter__(self):
raise RuntimeError("R8-LIST-SECRET")
out, truncated = truncate({"m": EvilMapping(), "l": EvilList([1])}, 10000)
assert out["m"] == "[UNSUPPORTED_OBJECT]"
assert out["l"] == "[UNSUPPORTED_OBJECT]"
assert truncated is True
assert "R8-MAPPING-SECRET" not in json.dumps(out)
@pytest.mark.asyncio
async def test_hostile_protocol_row_still_emitted_no_canary_in_logs(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""At the real callback boundary: the row is emitted and
the payload-controlled exception message reaches neither the row nor
the application logs.
"""
_ = mock_auth_default, mock_bq_client
import collections.abc
class EvilMapping(collections.abc.Mapping):
def __getitem__(self, k):
raise KeyError(k)
def __len__(self):
return 1
def __iter__(self):
return iter(["a"])
def items(self):
raise RuntimeError("R8-CALLBACK-SECRET")
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(
extra_attributes={"hostile": EvilMapping()},
),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert "R8-CALLBACK-SECRET" not in json.dumps(log_entry, default=str)
assert "R8-CALLBACK-SECRET" not in caplog.text
attrs = json.loads(log_entry["attributes"])
assert attrs["hostile"] == "[UNSUPPORTED_OBJECT]"
assert log_entry["is_truncated"] is True
def test_scalar_key_collisions_fail_closed(self):
"""Scalar keys are normalized to their JSON form and
collisions get an explicit marker instead of silently collapsing.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
for pair in (
{1: "n", "1": "s"},
{True: "b", "true": "s"},
{None: "x", "null": "s"},
):
out, truncated = truncate(pair, 10000)
assert truncated is True
assert len(out) == 2
# Round-trip through JSON keeps both values.
assert len(json.loads(json.dumps(out))) == 2
# A pre-existing key in the marker namespace is never
# overwritten — markers are re-allocated until unique.
out, truncated = truncate(
{"[KEY_COLLISION_1]1": "reserved", "1": "string", 1: "numeric"},
10000,
)
assert truncated is True
assert out["[KEY_COLLISION_1]1"] == "reserved"
assert out["1"] == "string"
assert len(out) == 3
assert sorted(out.values()) == ["numeric", "reserved", "string"]
def test_object_attr_traversal_bounded_and_selfref_terminates(self):
"""__dict__ traversal charges the budget per entry and
self-references terminate immediately.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
class Big:
pass
big = Big()
for i in range(200):
setattr(big, f"attr{i}", i)
out, truncated = truncate({"b": big}, 10000, None, 0, [50])
assert truncated is True
assert len(out["b"]) <= 51
class Node:
pass
node = Node()
node.self = node
node.access_token = "R8-SELF-SECRET"
out, _ = truncate({"n": node}, 10000)
assert out["n"]["self"] == "[CIRCULAR_REFERENCE]"
assert "R8-SELF-SECRET" not in json.dumps(out)
def test_unlimited_mode_inspection_ceiling(self):
"""Max_content_length=-1 still bounds json.loads
materialization; over-ceiling container blobs fail closed.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
ceiling = bigquery_agent_analytics_plugin._MAX_JSON_INSPECT_CHARS
big = "[" + "1," * (ceiling // 2 + 10) + "1]"
out, truncated = truncate({"b": big}, -1)
assert out["b"] == "[UNPARSEABLE_JSON_BLOB]"
assert truncated is True
@pytest.mark.asyncio
async def test_cancelled_shutdown_accounting_is_o1(self):
"""External cancellation accounts queued rows without
a per-item synchronous drain.
"""
class CountingQueue(asyncio.Queue):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.get_nowait_calls = 0
def get_nowait(self):
self.get_nowait_calls += 1
return super().get_nowait()
bp = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="s",
batch_size=1,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=100,
shutdown_timeout=5.0,
)
counting_queue = CountingQueue(maxsize=100)
bp._queue = counting_queue
write_entered = asyncio.Event()
write_release = asyncio.Event()
async def blocked_write(rows):
del rows
write_entered.set()
await write_release.wait()
with mock.patch.object(
bp, "_write_rows_with_retry", side_effect=blocked_write
):
await bp.start()
await bp.append({"r": 0})
await write_entered.wait()
for i in range(3):
await bp.append({"r": i + 1})
closer = asyncio.create_task(bp.shutdown(timeout=30))
await asyncio.sleep(0.05)
calls_before = counting_queue.get_nowait_calls
closer.cancel()
with pytest.raises(asyncio.CancelledError):
await closer
# O(1): no per-item dequeue happened during cancellation — the queue
# was swapped out instead.
assert counting_queue.get_nowait_calls == calls_before
assert bp._queue is not counting_queue
assert bp.get_drop_stats()["shutdown_cancelled"] == 3
@pytest.mark.asyncio
async def test_aborted_setup_holds_rendezvous_and_allows_restart(
self, mock_auth_default, mock_bq_client
):
"""The setup rendezvous stays claimed until aborted
teardown completes, and a later restart fully succeeds.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
entered = threading.Event()
release = threading.Event()
first_call = threading.Event()
def gated_client(*args, **kwargs):
del args, kwargs
if not first_call.is_set():
first_call.set()
entered.set()
release.wait(10)
return mock.MagicMock()
future_held_during_teardown = []
original_teardown = plugin._teardown_aborted_setup
async def spying_teardown():
future_held_during_teardown.append(plugin._setup_future is not None)
await original_teardown()
write_client = mock.MagicMock()
write_client.transport = mock.MagicMock()
write_client.transport.close = mock.AsyncMock()
with (
mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.bigquery.Client",
side_effect=gated_client,
),
mock.patch.object(plugin, "_teardown_aborted_setup", spying_teardown),
mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
return_value=write_client,
),
mock.patch.object(
bigquery_agent_analytics_plugin.BatchProcessor,
"start",
mock.AsyncMock(),
),
):
owner = asyncio.create_task(plugin._ensure_started())
while not entered.is_set():
await asyncio.sleep(0.01)
await plugin.shutdown()
release.set()
outcome = await owner
assert outcome == "aborted"
# The rendezvous was still claimed while teardown ran, so no new
# setup could interleave and have its resources destroyed.
assert future_held_during_teardown == [True]
assert plugin._setup_future is None
# A fresh start after the abort fully succeeds.
outcome2 = await plugin._ensure_started()
assert outcome2 == "ok"
assert plugin._started is True
assert plugin.client is not None
@pytest.mark.asyncio
@pytest.mark.filterwarnings("error::RuntimeWarning")
@pytest.mark.filterwarnings("error::pytest.PytestUnraisableExceptionWarning")
async def test_host_timeout_effective_during_remote_drain(
self, mock_auth_default, mock_bq_client
):
"""A stuck remote loop must not block the event loop —
an outer host timeout fires instead of waiting out the full drain.
Warning-clean: the shutdown coroutine created for
the never-running loop is explicitly closed, not leaked.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
remote_loop = asyncio.new_event_loop() # never runs
try:
state = mock.MagicMock()
state.write_client = None
state.batch_processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="s",
batch_size=1,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=5.0,
)
plugin._loop_state_by_loop[remote_loop] = state
start = time.monotonic()
with pytest.raises(asyncio.TimeoutError):
await asyncio.wait_for(plugin.shutdown(timeout=5), timeout=0.1)
elapsed = time.monotonic() - start
# The old synchronous future.result(timeout=5) blocked the loop for
# the full remote timeout before the host timeout could fire.
assert elapsed < 2.0
# The undrained state is retained for a retried close.
assert remote_loop in plugin._loop_state_by_loop
finally:
remote_loop.close()
def test_drop_stats_stable_while_shutdown_folds(
self, mock_auth_default, mock_bq_client
):
"""Claim+fold is one atomic transition, so readers never
observe a state as both live and folded (or neither).
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
async def scenario():
gate = asyncio.Event()
async def gated_processor_shutdown(timeout=None):
del timeout
await gate.wait()
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock(
side_effect=gated_processor_shutdown
)
state.batch_processor.get_drop_stats = mock.MagicMock(
return_value={"queue_full": 2}
)
loop = asyncio.get_running_loop()
plugin._loop_state_by_loop[loop] = state
closer = asyncio.create_task(plugin.shutdown(timeout=5))
for _ in range(10):
await asyncio.sleep(0.005)
assert plugin.get_drop_stats().get("queue_full", 0) == 2
gate.set()
await closer
assert plugin.get_drop_stats().get("queue_full", 0) == 2
asyncio.run(scenario())
@pytest.mark.asyncio
async def test_raced_event_counts_exactly_one_loss(
self, mock_auth_default, mock_bq_client, callback_context
):
"""One event racing shutdown records exactly one loss
(shutdown_race), not shutdown_race + setup_unavailable.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
with mock.patch.object(
plugin, "_ensure_started", mock.AsyncMock(return_value="aborted")
):
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
stats = plugin.get_drop_stats()
assert stats.get("shutdown_race", 0) == 1
assert stats.get("setup_unavailable", 0) == 0
@pytest.mark.asyncio
async def test_cancelled_setup_closes_eventual_client_and_executor(
self, mock_auth_default, mock_bq_client
):
"""Cancelling a setup blocked in the client constructor
closes the eventual client and terminates the executor.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
entered = threading.Event()
release = threading.Event()
eventual_client = mock.MagicMock()
def gated_client(*args, **kwargs):
del args, kwargs
entered.set()
release.wait(10)
return eventual_client
with mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.bigquery.Client",
side_effect=gated_client,
):
owner = asyncio.create_task(plugin._ensure_started())
while not entered.is_set():
await asyncio.sleep(0.01)
executor = plugin._executor
owner.cancel()
with pytest.raises(asyncio.CancelledError):
await owner
release.set()
# The constructor thread finishes and the done-callback closes the
# orphaned client.
for _ in range(100):
if eventual_client.close.called:
break
await asyncio.sleep(0.02)
assert eventual_client.close.called
assert plugin.client is None
assert plugin._executor is None
assert executor is not None and executor._shutdown
@pytest.mark.asyncio
async def test_formatter_result_shapes_fail_closed(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""Non-native formatter RESULTS fail closed inside the
boundary — a secret-returning or raising __str__ never reaches the
parser's str() fallback, the row, or the logs.
"""
_ = mock_auth_default, mock_bq_client
class LeakyResult:
def __str__(self):
return "R9-FORMATTER-SECRET"
class RaisingResult:
def __str__(self):
raise RuntimeError("R9-FORMATTER-RAISE-SECRET")
results = iter([LeakyResult(), RaisingResult()])
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
content_formatter=lambda content, event_type: next(results)
)
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
) as plugin:
await plugin._ensure_started()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
with caplog.at_level(logging.WARNING):
for _ in range(2):
mock_write_client.append_rows.reset_mock()
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
dumped = json.dumps(log_entry, default=str)
assert "R9-FORMATTER-SECRET" not in dumped
assert "R9-FORMATTER-RAISE-SECRET" not in dumped
assert (
bigquery_agent_analytics_plugin._FORMATTER_FAILED_SENTINEL
in log_entry["content"]
)
assert "R9-FORMATTER-SECRET" not in caplog.text
assert "R9-FORMATTER-RAISE-SECRET" not in caplog.text
assert plugin.get_drop_stats().get("formatter_failed", 0) == 2
def test_value_backed_enums_not_published(self):
"""StrEnum / (str, Enum) / bytes-backed members are
stringified through Enum.__str__ (member name), never their value.
"""
import enum
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
class StrCred(str, enum.Enum):
access_token = "R9-STR-ENUM-SECRET"
class BytesCred(bytes, enum.Enum):
token = b"R9-BYTES-ENUM-SECRET"
payload = {"s": StrCred.access_token, "b": BytesCred.token}
if sys.version_info >= (3, 11):
class NativeStrCred(enum.StrEnum):
refresh_token = "R9-STRENUM-SECRET"
payload["n"] = NativeStrCred.refresh_token
out, _ = truncate(payload, 10000)
dumped = json.dumps(out, default=str)
for canary in (
"R9-STR-ENUM-SECRET",
"R9-BYTES-ENUM-SECRET",
"R9-STRENUM-SECRET",
):
assert canary not in dumped, canary
assert out["s"] == "StrCred.access_token"
def test_strip_bom_ws_is_linear(self):
"""An alternating whitespace/BOM prefix is stripped in
one linear scan (the fixed-point slicing loop was quadratic).
"""
strip = bigquery_agent_analytics_plugin._strip_bom_ws
prefix = " \ufeff" * 200_000
start = time.monotonic()
assert strip(prefix + "{}") == "{}"
elapsed = time.monotonic() - start
# Quadratic behavior took minutes at this size; linear is ~25ms.
assert elapsed < 2.0
@pytest.mark.asyncio
async def test_failed_remote_drain_retains_state(
self, mock_auth_default, mock_bq_client, caplog
):
"""A remote drain that raises must NOT claim/fold its
state; it is retained for a retried close and the payload-controlled
message stays out of the logs.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
remote_loop = asyncio.new_event_loop()
thread = platform_thread.create_thread(target=remote_loop.run_forever)
thread.daemon = True
thread.start()
try:
state = mock.MagicMock()
state.write_client = None
bp = mock.MagicMock(spec=bigquery_agent_analytics_plugin.BatchProcessor)
async def failing_shutdown(timeout=None):
del timeout
raise RuntimeError("R9-DRAIN-SECRET")
bp.shutdown = failing_shutdown
bp.get_drop_stats = mock.MagicMock(return_value={"queue_full": 1})
state.batch_processor = bp
plugin._loop_state_by_loop[remote_loop] = state
with caplog.at_level(logging.WARNING):
# A failed remote drain keeps teardown incomplete
# and surfaces to the owner instead of reporting success.
with pytest.raises(
bigquery_agent_analytics_plugin._ShutdownIncompleteError
):
await plugin.shutdown(timeout=2)
# Retained, not silently claimed as a successful drain.
assert remote_loop in plugin._loop_state_by_loop
assert plugin.get_drop_stats().get("queue_full", 0) == 1
assert "R9-DRAIN-SECRET" not in caplog.text
assert "RuntimeError" in caplog.text
finally:
remote_loop.call_soon_threadsafe(remote_loop.stop)
thread.join(timeout=5)
remote_loop.close()
@pytest.mark.asyncio
async def test_concurrent_shutdown_caller_awaits_completion(
self, mock_auth_default, mock_bq_client
):
"""A concurrent shutdown() caller coalesces on the
owner's completion instead of returning while teardown is running.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
gate = asyncio.Event()
async def gated_shutdown(timeout=None):
del timeout
await gate.wait()
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock(side_effect=gated_shutdown)
state.batch_processor.get_drop_stats = mock.MagicMock(return_value={})
plugin._loop_state_by_loop[asyncio.get_running_loop()] = state
first = asyncio.create_task(plugin.shutdown(timeout=5))
await asyncio.sleep(0.05)
second = asyncio.create_task(plugin.shutdown())
await asyncio.sleep(0.05)
assert not second.done(), "second caller returned mid-teardown"
gate.set()
await first
await asyncio.wait_for(second, timeout=5)
assert plugin._loop_state_by_loop == {}
@pytest.mark.asyncio
async def test_shutdown_counts_rows_on_closed_loop(
self, mock_auth_default, mock_bq_client
):
"""Queued rows owned by an already-closed loop are
counted as stale_loop when shutdown() claims the state.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
closed_loop = asyncio.new_event_loop()
closed_loop.close()
bp = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="s",
batch_size=10,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=1.0,
)
bp._queue.put_nowait({"r": 1})
state = mock.MagicMock()
state.write_client = None
state.batch_processor = bp
plugin._loop_state_by_loop[closed_loop] = state
await plugin.shutdown(timeout=1)
assert closed_loop not in plugin._loop_state_by_loop
assert plugin.get_drop_stats().get("stale_loop", 0) == 1
@pytest.mark.asyncio
async def test_completed_constructor_close_dispatched_off_loop(
self, mock_auth_default, mock_bq_client
):
"""When the constructor future is already done at
cancellation time, the orphan client's close still runs off-loop and
does not extend the cancellation window.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
loop_thread_id = threading.get_ident()
close_started = threading.Event()
close_finished = threading.Event()
close_thread_ids = []
eventual = mock.MagicMock()
def slow_close():
close_thread_ids.append(threading.get_ident())
close_started.set()
time.sleep(0.2)
close_finished.set()
eventual.close = slow_close
def wrap_and_cancel(cf, **kwargs):
del kwargs
# Deterministic completed-before-cancel interleaving: wait for the
# constructor to finish, then deliver the cancellation.
cf.result(timeout=5)
raise asyncio.CancelledError()
with (
mock.patch(
"google.adk.plugins.bigquery_agent_analytics_plugin.bigquery.Client",
return_value=eventual,
),
mock.patch.object(
bigquery_agent_analytics_plugin.asyncio,
"wrap_future",
side_effect=wrap_and_cancel,
),
):
start = time.monotonic()
with pytest.raises(asyncio.CancelledError):
await plugin._ensure_started()
elapsed = time.monotonic() - start
assert close_started.wait(timeout=5)
assert close_finished.wait(timeout=5)
# The 200ms close did not run inline on the event-loop thread.
assert elapsed < 0.15
assert close_thread_ids and close_thread_ids[0] != loop_thread_id
def test_stale_cleanup_accounts_in_o1(
self, mock_auth_default, mock_bq_client
):
"""Stale-loop cleanup accounts queued rows via qsize
minus sentinels, without a per-item synchronous drain.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
class CountingQueue(asyncio.Queue):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.get_nowait_calls = 0
def get_nowait(self):
self.get_nowait_calls += 1
return super().get_nowait()
closed_loop = asyncio.new_event_loop()
closed_loop.close()
bp = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="s",
batch_size=10,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=2000,
shutdown_timeout=1.0,
)
counting = CountingQueue(maxsize=2000)
for i in range(1000):
counting.put_nowait({"r": i})
bp._queue = counting
state = mock.MagicMock()
state.write_client = None
state.batch_processor = bp
plugin._loop_state_by_loop[closed_loop] = state
plugin._cleanup_stale_loop_states()
assert counting.get_nowait_calls == 0
assert plugin.get_drop_stats().get("stale_loop", 0) == 1000
@pytest.mark.asyncio
async def test_shutdown_closes_shared_client(
self, mock_auth_default, mock_bq_client
):
"""Normal shutdown closes the shared BigQuery client
instead of just dropping the reference.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
client = mock.MagicMock()
plugin.client = client
await plugin.shutdown(timeout=1)
assert client.close.called
assert plugin.client is None
@pytest.mark.asyncio
async def test_cancelled_processor_shutdown_is_retryable(self):
"""An externally cancelled BatchProcessor.shutdown()
(real processor, blocked writer) must not make later shutdown calls
re-raise the historical CancelledError; the retry completes and every
queued/in-flight row is accounted.
"""
bp = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="s",
batch_size=1,
flush_interval=0.05,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=100,
shutdown_timeout=5.0,
)
write_entered = asyncio.Event()
write_release = asyncio.Event()
async def blocked_write(rows):
del rows
write_entered.set()
await write_release.wait()
with mock.patch.object(
bp, "_write_rows_with_retry", side_effect=blocked_write
):
await bp.start()
await bp.append({"r": 1})
await write_entered.wait() # worker is blocked mid-write (in-flight=1)
for i in range(3):
await bp.append({"r": i + 2}) # three rows stay queued
closer = asyncio.create_task(bp.shutdown(timeout=30))
await asyncio.sleep(0.05) # let shutdown reach its wait_for
closer.cancel()
with pytest.raises(asyncio.CancelledError):
await closer
# The retry completes instead of re-raising the historical
# cancellation, and nothing is left queued.
await bp.shutdown(timeout=1)
assert bp._batch_processor_task.cancelled()
assert bp._queue.empty()
stats = bp.get_drop_stats()
# 3 queued rows (shutdown_cancelled) + 1 in-flight row counted by the
# cancelled worker (shutdown_timeout).
assert stats["shutdown_cancelled"] == 3
assert stats["shutdown_timeout"] == 1
def test_overlimit_and_garbage_quoted_blobs_fail_closed(self):
"""Over-limit multi-layer quoted JSON and a valid quoted
credential layer with trailing garbage must not republish the secret.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
secret = "ROUND7-TRIPLE-SECRET-" + "x" * 300
triple = json.dumps(json.dumps(json.dumps({"access_token": secret})))
out, truncated = truncate({"blob": triple}, 64)
assert "ROUND7-TRIPLE-SECRET" not in json.dumps(out)
assert truncated
trailing = (
json.dumps(json.dumps({"access_token": "ROUND7-TRAIL-SECRET"}))
+ " trailing"
)
out, truncated = truncate({"blob": trailing}, 10000)
assert "ROUND7-TRAIL-SECRET" not in json.dumps(out)
# Refined the policy: the leading string layer is
# redacted in place and the container-free suffix is preserved, so
# this is a redaction (changed), not a truncation.
assert "[REDACTED]" in out["blob"]
assert out["blob"].endswith(" trailing")
# Ordinary quoted prose — with or without a suffix — stays untouched.
for prose in ('"hello" she said', '"just a quote"'):
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
@pytest.mark.asyncio
async def test_shapes_redacted_at_row_boundary(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
caplog,
):
"""Shapes at the final row boundary: the
row is always emitted, no canary reaches the row or the logs,
unsupported keys fail closed, and discarded binary reports
is_truncated.
"""
_ = mock_auth_default, mock_bq_client
import collections
import types as types_module
Cred = collections.namedtuple("Cred", ["access_token"])
class Trap:
@property
def model_dump(self):
raise RuntimeError("ROUND7-PROPERTY-SECRET")
class SneakyStr(str):
def lstrip(self, *args):
return "plain"
def startswith(self, *args):
return False
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(
extra_attributes={
"named": Cred("ROUND7-NAMED-SECRET"),
"ns": types_module.SimpleNamespace(
access_token="ROUND7-REPR-SECRET", note="ok"
),
"trap": Trap(),
"sneaky": SneakyStr('{"access_token":"ROUND7-STR-SUBCLASS"}'),
"bad_key": {(1, 2): "value"},
"binary": b"\xff\xfe",
},
),
)
await asyncio.sleep(0.01)
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
dumped_row = json.dumps(log_entry, default=str)
for canary in (
"ROUND7-NAMED-SECRET",
"ROUND7-REPR-SECRET",
"ROUND7-PROPERTY-SECRET",
"ROUND7-STR-SUBCLASS",
):
assert canary not in dumped_row, canary
assert canary not in caplog.text, canary
attrs = json.loads(log_entry["attributes"])
assert attrs["named"] == {"access_token": "[REDACTED]"}
assert attrs["ns"] == {"access_token": "[REDACTED]", "note": "ok"}
assert attrs["trap"] == "[UNSUPPORTED_OBJECT]"
assert attrs["bad_key"] == {"[UNSUPPORTED_KEY]": "value"}
assert attrs["binary"] == "[BINARY_DATA]"
assert log_entry["is_truncated"] is True
def test_setup_future_leaves_no_loop_references(
self, mock_auth_default, mock_bq_client
):
"""Repeated fresh-loop startups retain no per-loop setup structures.
The per-loop lock map kept strong references to every closed loop;
the cross-loop future replaces it.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
async def noop_setup(**kwargs):
return None
for _ in range(4):
plugin._started = False
with mock.patch.object(plugin, "_lazy_setup", side_effect=noop_setup):
asyncio.run(plugin._ensure_started())
assert plugin._setup_future is None
assert not hasattr(plugin, "_setup_locks")
def test_cleanup_survives_concurrent_insertion(
self, mock_auth_default, mock_bq_client
):
"""Cleanup snapshots keys, so insertion during is_closed() cannot raise
'dictionary changed size during iteration'.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
dead_loop = mock.MagicMock()
state = mock.MagicMock()
state.batch_processor.get_drop_stats.return_value = {"write_failed": 7}
def is_closed_and_mutate():
# Simulates another thread inserting mid-scan.
plugin._loop_state_by_loop[mock.MagicMock()] = mock.MagicMock()
return True
dead_loop.is_closed.side_effect = is_closed_and_mutate
plugin._loop_state_by_loop[dead_loop] = state
plugin._cleanup_stale_loop_states() # must not raise
assert plugin.get_drop_stats().get("write_failed") == 7
@pytest.mark.asyncio
async def test_depth_capped_payload_flags_row_truncated(
self,
mock_write_client,
invocation_context,
callback_context,
mock_auth_default,
mock_bq_client,
mock_to_arrow_schema,
dummy_arrow_schema,
mock_asyncio_to_thread,
):
"""A real payload cut off by the depth cap marks the ROW as truncated
.
"""
_ = mock_auth_default, mock_bq_client
deep: dict = {"leaf": "payload"}
for _ in range(60):
deep = {"level": deep}
async with managed_plugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
) as plugin:
await plugin._ensure_started()
mock_write_client.append_rows.reset_mock()
bigquery_agent_analytics_plugin.TraceManager.push_span(invocation_context)
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(
extra_attributes={"deep": deep},
),
)
await plugin.flush()
log_entry = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert "[MAX_DEPTH_EXCEEDED]" in log_entry["attributes"]
assert log_entry["is_truncated"] is True
def test_zero_delay_retry_config_still_constructs(
self, mock_auth_default, mock_bq_client
):
"""Long-supported zero-delay retry configs must not be rejected
.
"""
_ = mock_auth_default, mock_bq_client
config = bigquery_agent_analytics_plugin.BigQueryLoggerConfig(
retry_config=bigquery_agent_analytics_plugin.RetryConfig(
max_retries=0, initial_delay=0, max_delay=0
)
)
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID, config=config
)
assert plugin.config.retry_config.max_retries == 0
@pytest.mark.asyncio
async def test_owner_cancellation_does_not_poison_rendezvous(
self, mock_auth_default, mock_bq_client
):
"""A cancelled setup owner finalizes the shared future so later
startups are not stuck forever.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
entered = asyncio.Event()
async def hung_setup(**kwargs):
entered.set()
await asyncio.sleep(3600)
with mock.patch.object(plugin, "_lazy_setup", side_effect=hung_setup):
owner = asyncio.create_task(plugin._ensure_started())
await entered.wait()
owner.cancel()
with pytest.raises(asyncio.CancelledError):
await owner
assert plugin._setup_future is None # rendezvous cleared
# A later attempt is not stuck: it claims a fresh future and runs.
async def ok_setup(**kwargs):
return None
with mock.patch.object(plugin, "_lazy_setup", side_effect=ok_setup):
await asyncio.wait_for(plugin._ensure_started(), timeout=5)
assert plugin._started is True
@pytest.mark.asyncio
async def test_waiter_cancellation_does_not_cancel_shared_future(
self, mock_auth_default, mock_bq_client
):
"""Cancelling one waiter must not cancel the owner's shared future
.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
entered = asyncio.Event()
release = asyncio.Event()
async def gated_setup(**kwargs):
entered.set()
await release.wait()
with mock.patch.object(plugin, "_lazy_setup", side_effect=gated_setup):
owner = asyncio.create_task(plugin._ensure_started())
await entered.wait()
waiter = asyncio.create_task(plugin._ensure_started())
await asyncio.sleep(0.05) # waiter reaches the shielded await
waiter.cancel()
with pytest.raises(asyncio.CancelledError):
await waiter
release.set()
await owner # owner publishes without InvalidStateError
assert plugin._started is True
@pytest.mark.asyncio
async def test_shutdown_wins_over_in_flight_setup(
self, mock_auth_default, mock_bq_client
):
"""Setup completing after shutdown() must not resurrect _started
.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
entered = asyncio.Event()
release = asyncio.Event()
async def gated_setup(**kwargs):
entered.set()
await release.wait()
with mock.patch.object(plugin, "_lazy_setup", side_effect=gated_setup):
owner = asyncio.create_task(plugin._ensure_started())
await entered.wait()
await plugin.shutdown()
release.set()
outcome = await owner
assert plugin._started is False
# The abort is reported structurally, not counted here;
# only a row owner converts it into a shutdown_race loss.
assert outcome == "aborted"
assert plugin.get_drop_stats().get("shutdown_race", 0) == 0
@pytest.mark.asyncio
async def test_close_invokes_full_shutdown(
self, mock_auth_default, mock_bq_client
):
"""plugin.close() (Runner/PluginManager ownership) performs the real
shutdown instead of the inherited no-op.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._started = True
await plugin.close()
assert plugin._started is False
assert plugin._is_shutting_down is False
# And it routes through shutdown() semantics: counters remain queryable.
assert isinstance(plugin.get_drop_stats(), dict)
@pytest.mark.asyncio
async def test_cancelled_close_releases_guard_and_allows_retry(
self, mock_auth_default, mock_bq_client
):
"""A close() cancelled mid-drain (PluginManager's close timeout) must
release _is_shutting_down, re-raise the cancellation, and leave the
retained loop state retryable by a second close.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
loop = asyncio.get_running_loop()
blocked = asyncio.Event()
release = asyncio.Event()
async def blocking_shutdown(timeout=None):
del timeout
blocked.set()
await release.wait()
state = mock.MagicMock()
state.write_client = None
state.batch_processor = mock.MagicMock(
spec=bigquery_agent_analytics_plugin.BatchProcessor
)
state.batch_processor.shutdown = mock.AsyncMock(
side_effect=blocking_shutdown
)
state.batch_processor.get_drop_stats = mock.MagicMock(return_value={})
plugin._loop_state_by_loop[loop] = state
closer = asyncio.create_task(plugin.close())
await blocked.wait()
closer.cancel()
with pytest.raises(asyncio.CancelledError):
await closer
# The guard is released and the undrained state is still retryable.
assert plugin._is_shutting_down is False
assert loop in plugin._loop_state_by_loop
# A second close now completes and removes the retained state.
state.batch_processor.shutdown = mock.AsyncMock()
await plugin.close()
assert plugin._is_shutting_down is False
assert loop not in plugin._loop_state_by_loop
@pytest.mark.asyncio
async def test_get_loop_state_uses_single_lookup(
self, mock_auth_default, mock_bq_client
):
"""A concurrent removal cannot split an existence check from lookup."""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
loop = asyncio.get_running_loop()
expected_state = mock.MagicMock()
class DeleteOnContainsDict(dict):
def __contains__(self, key):
present = super().__contains__(key)
if present:
del self[key]
return present
plugin._loop_state_by_loop = DeleteOnContainsDict({loop: expected_state})
assert await plugin._get_loop_state() is expected_state
@pytest.mark.asyncio
async def test_writer_built_during_shutdown_is_not_published(
self, mock_auth_default, mock_bq_client
):
"""A shutdown() that completes while _get_loop_state() is mid-build
must not let the fresh writer be published afterwards; the new
processor and transport are torn down instead.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
start_entered = asyncio.Event()
start_gate = asyncio.Event()
processor_shutdowns = []
async def gated_start(self):
del self
start_entered.set()
await start_gate.wait()
async def record_shutdown(self, timeout=None):
del self
processor_shutdowns.append(timeout)
transport = mock.MagicMock()
transport.close = mock.AsyncMock()
write_client = mock.MagicMock()
write_client.transport = transport
with (
mock.patch.object(
bigquery_agent_analytics_plugin.BatchProcessor,
"start",
gated_start,
),
mock.patch.object(
bigquery_agent_analytics_plugin.BatchProcessor,
"shutdown",
record_shutdown,
),
mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
return_value=write_client,
),
):
builder = asyncio.create_task(plugin._get_loop_state())
await start_entered.wait()
# shutdown() completes while the writer is still being built: its
# snapshot is empty, so only the publication guard can stop the leak.
await plugin.shutdown()
start_gate.set()
with pytest.raises(RuntimeError):
await builder
assert plugin._loop_state_by_loop == {}
assert processor_shutdowns, "fresh processor must be shut down"
transport.close.assert_awaited()
def test_sanitizer_covers_bytes_bom_str_and_mapping_converters(self):
"""Shapes: bytes/bytearray blobs, BOM-prefixed JSON,
__str__-returned credential JSON, and Mapping converter results.
"""
import collections
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
class ToDictMapping:
def to_dict(self):
return collections.UserDict({"access_token": "SECRET-MAPPING"})
class StrLeaker:
def __str__(self):
return '{"access_token": "SECRET-STR"}'
payload = {
"bytes": b'{"access_token":"SECRET-BYTES"}',
"bytearray": bytearray(b'{"access_token":"SECRET-BA"}'),
"bom": '\ufeff{"access_token":"SECRET-BOM"}',
"converter": ToDictMapping(),
"strleak": StrLeaker(),
}
out, _ = truncate(payload, 10000)
dumped = json.dumps(out)
for marker in (
"SECRET-BYTES",
"SECRET-BA",
"SECRET-BOM",
"SECRET-MAPPING",
"SECRET-STR",
):
assert marker not in dumped, marker
def test_double_encoded_and_rootmodel_blobs_are_redacted(self):
"""Shapes: JSON-encoded string layers (double/triple
json.dumps) and scalar model_dump() results (RootModel[str]) re-enter
the redaction path instead of bypassing it.
"""
import pydantic
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
double = json.dumps(json.dumps({"access_token": "DOUBLE-ENCODED-SECRET"}))
out, _ = truncate({"blob": double}, 10000)
assert "DOUBLE-ENCODED-SECRET" not in json.dumps(out)
triple = json.dumps(double)
out, _ = truncate({"blob": triple}, 10000)
assert "DOUBLE-ENCODED-SECRET" not in json.dumps(out)
root = pydantic.RootModel[str]('{"access_token":"ROOT-SECRET"}')
out, _ = truncate({"model": root}, 10000)
assert "ROOT-SECRET" not in json.dumps(out)
# Ordinary quoted prose (not a JSON document) is left untouched.
prose = '"hello" she said'
out, truncated = truncate({"s": prose}, 10000)
assert out["s"] == prose
assert truncated is False
def test_depth_truncated_json_blob_reports_truncation(self):
"""A JSON blob rewritten with [MAX_DEPTH_EXCEEDED]
discards payload and must therefore report truncated=True.
"""
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
deep = "[" * 60 + "]" * 60
out, truncated = truncate({"blob": deep}, 10000)
assert "[MAX_DEPTH_EXCEEDED]" in out["blob"]
assert truncated is True
def test_sanitizer_stops_at_node_budget(self):
"""A very wide payload stops at the work budget, emits ONE remainder
sentinel, and the output stays bounded by the budget — iteration used
to continue over the full input, appending one sentinel per remaining
element.
"""
max_nodes = bigquery_agent_analytics_plugin._MAX_SANITIZE_NODES
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
wide = list(range(max_nodes * 2))
out, truncated = truncate({"wide": wide}, 10000)
assert truncated
assert out["wide"][-1] == "[SANITIZE_BUDGET_EXCEEDED]"
assert out["wide"].count("[SANITIZE_BUDGET_EXCEEDED]") == 1
# Bounded output: budget entries plus the single remainder sentinel.
assert len(out["wide"]) <= max_nodes + 1
def test_sanitizer_budget_covers_directly_redacted_entries(self):
"""Directly redacted keys (temp:/sensitive) consume budget too — a
wide temp: mapping used to bypass the bound entirely and report
truncated=False.
"""
max_nodes = bigquery_agent_analytics_plugin._MAX_SANITIZE_NODES
truncate = bigquery_agent_analytics_plugin._recursive_smart_truncate
wide_temp = {f"temp:{i}": i for i in range(max_nodes * 2)}
out, truncated = truncate(wide_temp, 10000)
assert truncated
assert len(out) <= max_nodes + 1
assert "[SANITIZE_BUDGET_EXCEEDED]" in out
@pytest.mark.asyncio
async def test_stale_loop_cleanup_counts_queued_rows(
self, mock_auth_default, mock_bq_client
):
"""Queued rows on a closed loop are counted under stale_loop
.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
dead_loop = mock.MagicMock()
dead_loop.is_closed.return_value = True
state = mock.MagicMock()
queue = asyncio.Queue()
queue.put_nowait({"row": 1})
state.batch_processor._queue = queue
state.batch_processor.get_drop_stats.return_value = {}
state.write_client = None
plugin._loop_state_by_loop[dead_loop] = state
plugin._cleanup_stale_loop_states()
assert plugin.get_drop_stats().get("stale_loop") == 1
@pytest.mark.asyncio
async def test_restart_rebuilds_parser_and_offloader(
self, mock_auth_default, mock_bq_client
):
"""shutdown() clears parser/offloader so a restart cannot reuse the
terminated executor.
"""
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin.parser = mock.MagicMock()
plugin.offloader = mock.MagicMock()
await plugin.shutdown()
assert plugin.parser is None
assert plugin.offloader is None
class TestLatestReviewLifecycleRegressions:
"""Regressions for lifecycle findings."""
@pytest.mark.asyncio
async def test_later_before_model_short_circuit_does_not_leak_span(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
invocation_context,
dummy_arrow_schema,
):
"""A synthesized response row belongs to the parent agent span."""
class ShortCircuitPlugin(bigquery_agent_analytics_plugin.BasePlugin):
def __init__(self):
super().__init__(name="short_circuit")
async def before_model_callback(self, **kwargs):
del kwargs
return llm_response_lib.LlmResponse(
content=types.Content(
role="model", parts=[types.Part(text="cached response")]
)
)
trace_manager = bigquery_agent_analytics_plugin.TraceManager
trace_manager.clear_stack()
try:
parent_span_id = trace_manager.push_span(callback_context, "agent")
manager = plugin_manager_lib.PluginManager(
[bq_plugin_inst, ShortCircuitPlugin()]
)
request = llm_request_lib.LlmRequest(
model="gemini-pro",
contents=[
types.Content(role="user", parts=[types.Part(text="prompt")])
],
)
short_response = await manager.run_before_model_callback(
callback_context=callback_context, llm_request=request
)
assert short_response is not None
leaked_span_id = trace_manager.get_current_span_id()
assert leaked_span_id != parent_span_id
# ADK intentionally skips run_after_model_callback on this path and
# emits the synthesized response as a non-partial event instead.
await bq_plugin_inst.flush()
mock_write_client.append_rows.reset_mock()
event = event_lib.Event(
author="agent",
content=short_response.content,
)
await manager.run_on_event_callback(
invocation_context=invocation_context, event=event
)
await bq_plugin_inst.flush()
rows = await _get_captured_rows_async(
mock_write_client, dummy_arrow_schema
)
response_row = next(
row for row in rows if row["event_type"] == "AGENT_RESPONSE"
)
assert response_row["span_id"] == parent_span_id
assert response_row["span_id"] != leaked_span_id
assert trace_manager.get_current_span_id() == parent_span_id
finally:
trace_manager.clear_stack()
@pytest.mark.asyncio
async def test_partial_event_preserves_live_llm_span(
self, bq_plugin_inst, callback_context, invocation_context
):
trace_manager = bigquery_agent_analytics_plugin.TraceManager
trace_manager.clear_stack()
try:
trace_manager.push_span(callback_context, "agent")
await bq_plugin_inst.before_model_callback(
callback_context=callback_context,
llm_request=llm_request_lib.LlmRequest(model="gemini-pro"),
)
llm_span_id = trace_manager.get_current_span_id()
await bq_plugin_inst.on_event_callback(
invocation_context=invocation_context,
event=event_lib.Event(
author="agent",
partial=True,
content=types.Content(
role="model", parts=[types.Part(text="stream chunk")]
),
),
)
assert trace_manager.get_current_span_id() == llm_span_id
finally:
trace_manager.clear_stack()
@pytest.mark.asyncio
async def test_external_cancel_during_worker_ack_is_not_swallowed(self):
processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="stream",
batch_size=1,
flush_interval=1.0,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=1.0,
)
first_cancel_seen = asyncio.Event()
never = asyncio.Event()
async def slow_cancel_ack():
try:
await never.wait()
except asyncio.CancelledError:
first_cancel_seen.set()
await never.wait()
processor._batch_processor_task = asyncio.create_task(slow_cancel_ack())
processor._queue.put_nowait({"row": 1})
with mock.patch.object(
bigquery_agent_analytics_plugin.asyncio,
"wait_for",
new=mock.AsyncMock(side_effect=asyncio.TimeoutError),
):
owner = asyncio.create_task(processor.shutdown(timeout=0.01))
await first_cancel_seen.wait()
owner.cancel()
with pytest.raises(asyncio.CancelledError):
await owner
# A later close owns the retained terminal task/queue and accounts it.
await processor.shutdown(timeout=1.0)
assert processor._batch_processor_task.cancelled()
assert processor._queue.empty()
assert processor.get_drop_stats()["shutdown_timeout"] == 1
@pytest.mark.asyncio
async def test_dead_loop_state_is_replaced_once_and_rows_are_accounted(
self, mock_auth_default, mock_bq_client
):
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
plugin._write_stream_name = DEFAULT_STREAM_NAME
old_transport = mock.MagicMock()
close_entered = asyncio.Event()
close_release = asyncio.Event()
async def gated_old_close():
close_entered.set()
await close_release.wait()
old_transport.close = mock.AsyncMock(side_effect=gated_old_close)
old_client = mock.MagicMock(transport=old_transport)
old_processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=old_client,
arrow_schema=None,
write_stream=DEFAULT_STREAM_NAME,
batch_size=1,
flush_interval=0.01,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=1.0,
)
old_processor._shutdown = True
old_processor._dropped["queue_full"] = 2
old_processor._queue.put_nowait({"old": 1})
old_processor._queue.put_nowait({"old": 2})
old_processor._batch_processor_task = asyncio.create_task(asyncio.sleep(0))
await old_processor._batch_processor_task
loop = asyncio.get_running_loop()
old_state = bigquery_agent_analytics_plugin._LoopState(
old_client, old_processor
)
plugin._loop_state_by_loop[loop] = old_state
new_transport = mock.MagicMock()
new_transport.close = mock.AsyncMock()
new_client = mock.MagicMock(transport=new_transport)
with mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
return_value=new_client,
):
builder = asyncio.create_task(plugin._get_loop_state())
await close_entered.wait()
# Replacement is already published while the sole owner closes the old
# transport, so a concurrent caller cannot build a second processor.
concurrent_state = await plugin._get_loop_state()
close_release.set()
replacement = await builder
assert replacement is concurrent_state
assert replacement is plugin._loop_state_by_loop[loop]
assert replacement is not old_state
old_transport.close.assert_awaited_once()
stats = plugin.get_drop_stats()
assert stats["queue_full"] == 2
assert stats["shutdown_timeout"] == 2
write_rows = mock.AsyncMock()
with mock.patch.object(
replacement.batch_processor,
"_write_rows_with_retry",
new=write_rows,
):
row = {"new": 1}
await replacement.batch_processor.append(row)
await asyncio.wait_for(replacement.batch_processor.flush(), timeout=1)
write_rows.assert_awaited_once_with([row])
await plugin.shutdown(timeout=1)
@pytest.mark.asyncio
async def test_normal_timeout_retrieves_worker_cancel_and_drains_queue(self):
"""The 3.10-compatible acknowledgement path handles worker cancel."""
processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="stream",
batch_size=1,
flush_interval=1.0,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=1.0,
)
never = asyncio.Event()
processor._batch_processor_task = asyncio.create_task(never.wait())
processor._queue.put_nowait({"row": 1})
await processor.shutdown(timeout=0.001)
assert processor._batch_processor_task.cancelled()
assert processor._queue.empty()
assert processor.get_drop_stats()["shutdown_timeout"] == 1
@pytest.mark.asyncio
async def test_error_columns_and_tracebacks_redact_embedded_credentials(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
secrets = (
"AUTH-SECRET",
"QUERY-SECRET",
"JSON-SECRET",
"SIGNATURE-SECRET",
"ESCAPED-SECRET",
)
message = (
"safe prefix Authorization: Bearer AUTH-SECRET; "
"access-token=QUERY-SECRET"
)
traceback_text = (
'Traceback safe prefix {"access_token":"JSON-SECRET"}; '
'next {"access\\u005ftoken":"ESCAPED-SECRET"}; '
"x-goog-signature=SIGNATURE-SECRET"
)
await bq_plugin_inst._log_event(
"AGENT_ERROR",
callback_context,
raw_content={"error_traceback": traceback_text},
event_data=bigquery_agent_analytics_plugin.EventData(
status="ERROR", error_message=message
),
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
stored = json.dumps(row, default=str)
assert all(secret not in stored for secret in secrets)
assert row["error_message"].startswith("safe prefix Authorization:")
assert bigquery_agent_analytics_plugin._sanitize_sensitive_text(
"Authorization: Bearer AUTH-SECRET", -1
) == ("Authorization: [REDACTED]", True)
for escaped in (
r"access\u005ftoken=ESCAPED-SECRET",
r'Traceback { "access\u005ftoken":"ESCAPED-SECRET"}',
):
assert bigquery_agent_analytics_plugin._sanitize_sensitive_text(
escaped, -1
) == ("[REDACTED_SENSITIVE_TEXT]", True)
assert bigquery_agent_analytics_plugin._sanitize_sensitive_text(
"temp:credential=TEMP-SECRET", -1
) == ("temp:credential=[REDACTED]", True)
assert "[REDACTED]" in stored
assert row["is_truncated"] is True
@pytest.mark.asyncio
async def test_safe_error_message_is_preserved_exactly(
self,
bq_plugin_inst,
mock_write_client,
callback_context,
dummy_arrow_schema,
):
message = "[INFO] ordinary failure at worker 7"
await bq_plugin_inst._log_event(
"LLM_ERROR",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(
status="ERROR", error_message=message
),
)
await bq_plugin_inst.flush()
row = await _get_captured_event_dict_async(
mock_write_client, dummy_arrow_schema
)
assert row["error_message"] == message
assert row["is_truncated"] is False
def test_sensitive_text_redacts_complete_values_and_encoded_constructs(self):
sanitize = bigquery_agent_analytics_plugin._sanitize_sensitive_text
redacted_cases = {
"access_token=[REDACTED]SECRET": "SECRET",
"access_token=[REDACTED]]SECRET": "SECRET",
"access_token=[REDACTED]/SECRET": "SECRET",
'Authorization: Digest username="u", response="DIGEST-SECRET"': (
"DIGEST-SECRET"
),
(
"Authorization: AWS4-HMAC-SHA256 "
"Credential=AWS-SECRET, SignedHeaders=host"
): "AWS-SECRET",
"Proxy-Authorization: Negotiate NEGOTIATE-SECRET": "NEGOTIATE-SECRET",
"Bearer\nBEARER-SECRET": "BEARER-SECRET",
"Basic\tdXNlcjpwYXNz": "dXNlcjpwYXNz",
"Basic dXNlcg==": "dXNlcg==",
"sig=SIG-SECRET": "SIG-SECRET",
"x-amz-signature=AMZ-SIGNATURE-SECRET": "AMZ-SIGNATURE-SECRET",
"x_amz_credential=AMZ-CREDENTIAL-SECRET": "AMZ-CREDENTIAL-SECRET",
"google-access-id=GOOGLE-ID-SECRET": "GOOGLE-ID-SECRET",
r"access\u005ftoken=UNICODE-SECRET": "UNICODE-SECRET",
r"access\x5ftoken=HEX-SECRET": "HEX-SECRET",
"access_token%3DPERCENT-SECRET": "PERCENT-SECRET",
"access%255Ftoken%253DDOUBLE-SECRET": "DOUBLE-SECRET",
}
for value, secret in redacted_cases.items():
sanitized, changed = sanitize(value, -1)
assert changed is True, value
assert secret not in sanitized, value
# A sentinel is idempotent only when it is the complete value.
assert sanitize("access_token=[REDACTED]", -1) == (
"access_token=[REDACTED]",
False,
)
structured, _ = bigquery_agent_analytics_plugin._recursive_smart_truncate(
{
"x-amz-signature": "STRUCTURED-AMZ-SECRET",
"google_access_id": "STRUCTURED-GOOGLE-SECRET",
"safe": True,
},
-1,
)
assert structured == {
"x-amz-signature": "[REDACTED]",
"google_access_id": "[REDACTED]",
"safe": True,
}
def test_sensitive_text_preserves_safe_slashes_and_encoded_prose_exactly(
self,
):
sanitize = bigquery_agent_analytics_plugin._sanitize_sensitive_text
safe = (
r"C:\Users\secret\project\file.json",
r"Invalid \escape at position 4",
r"can't decode \x5c in position 2",
"the bearer of bad news",
"a basic principle",
"a basic test",
"design=balanced",
"signal=strong",
"progress%3D100%25 complete",
"literal%2525value",
)
for value in safe:
assert sanitize(value, -1) == (value, False)
# A moderately wide safe input exercises the bounded stack scanner while
# pinning the useful property instead of a timing threshold.
wide = (r"C:\safe\secret\file%25.txt; " * 20_000).rstrip()
assert sanitize(wide, len(wide)) == (wide, False)
@pytest.mark.asyncio
async def test_live_shutting_down_writer_aborts_owner_and_waiter_once(
self, mock_auth_default, mock_bq_client, callback_context
):
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(),
arrow_schema=None,
write_stream="stream",
batch_size=1,
flush_interval=1.0,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=1.0,
)
never = asyncio.Event()
processor._batch_processor_task = asyncio.create_task(never.wait())
processor._shutdown = True
loop = asyncio.get_running_loop()
plugin._loop_state_by_loop[loop] = (
bigquery_agent_analytics_plugin._LoopState(mock.MagicMock(), processor)
)
entered = asyncio.Event()
release = asyncio.Event()
async def attempt_setup(**kwargs):
del kwargs
entered.set()
await release.wait()
await plugin._get_loop_state()
try:
with mock.patch.object(plugin, "_lazy_setup", side_effect=attempt_setup):
owner = asyncio.create_task(plugin._ensure_started())
await entered.wait()
waiter = asyncio.create_task(plugin._ensure_started())
await asyncio.sleep(0)
release.set()
assert await owner == "aborted"
assert await waiter == "aborted"
assert plugin._startup_error is None
assert plugin._setup_failures == 0
assert plugin._setup_retry_at == 0
assert plugin._loop_state_by_loop[loop].batch_processor is processor
await plugin._log_event(
"STATE_DELTA",
callback_context,
event_data=bigquery_agent_analytics_plugin.EventData(),
)
assert plugin.get_drop_stats()["shutdown_race"] == 1
finally:
processor._batch_processor_task.cancel()
with contextlib.suppress(asyncio.CancelledError):
await processor._batch_processor_task
@pytest.mark.asyncio
async def test_detached_transport_closed_when_replacement_build_fails(
self, mock_auth_default, mock_bq_client
):
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
loop = asyncio.get_running_loop()
old_transport = mock.MagicMock(close=mock.AsyncMock())
old_processor = bigquery_agent_analytics_plugin.BatchProcessor(
write_client=mock.MagicMock(transport=old_transport),
arrow_schema=None,
write_stream="stream",
batch_size=1,
flush_interval=1.0,
retry_config=bigquery_agent_analytics_plugin.RetryConfig(),
queue_max_size=10,
shutdown_timeout=1.0,
)
old_processor._shutdown = True
old_processor._batch_processor_task = asyncio.create_task(asyncio.sleep(0))
await old_processor._batch_processor_task
plugin._loop_state_by_loop[loop] = (
bigquery_agent_analytics_plugin._LoopState(
mock.MagicMock(transport=old_transport), old_processor
)
)
fresh_transport = mock.MagicMock(close=mock.AsyncMock())
fresh_client = mock.MagicMock(transport=fresh_transport)
with (
mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
return_value=fresh_client,
),
mock.patch.object(
bigquery_agent_analytics_plugin.BatchProcessor,
"__init__",
side_effect=RuntimeError("construction failed"),
),
):
with pytest.raises(RuntimeError, match="construction failed"):
await plugin._get_loop_state()
old_transport.close.assert_awaited_once()
fresh_transport.close.assert_awaited_once()
assert loop not in plugin._loop_state_by_loop
@pytest.mark.asyncio
async def test_invalidated_writer_transport_closes_when_shutdown_is_cancelled(
self, mock_auth_default, mock_bq_client
):
_ = mock_auth_default, mock_bq_client
plugin = bigquery_agent_analytics_plugin.BigQueryAgentAnalyticsPlugin(
PROJECT_ID, DATASET_ID, table_id=TABLE_ID
)
plugin._credentials = mock.MagicMock(quota_project_id=None)
start_entered = asyncio.Event()
start_release = asyncio.Event()
shutdown_entered = asyncio.Event()
shutdown_never = asyncio.Event()
async def gated_start(self):
del self
start_entered.set()
await start_release.wait()
async def blocked_shutdown(self, timeout=None):
del self, timeout
shutdown_entered.set()
await shutdown_never.wait()
transport = mock.MagicMock(close=mock.AsyncMock())
write_client = mock.MagicMock(transport=transport)
with (
mock.patch.object(
bigquery_agent_analytics_plugin.BatchProcessor,
"start",
gated_start,
),
mock.patch.object(
bigquery_agent_analytics_plugin.BatchProcessor,
"shutdown",
blocked_shutdown,
),
mock.patch.object(
bigquery_agent_analytics_plugin,
"BigQueryWriteAsyncClient",
return_value=write_client,
),
):
builder = asyncio.create_task(plugin._get_loop_state())
await start_entered.wait()
await plugin.shutdown()
start_release.set()
await shutdown_entered.wait()
builder.cancel()
with pytest.raises(asyncio.CancelledError):
await builder
transport.close.assert_awaited_once()
assert plugin._loop_state_by_loop == {}
@pytest.mark.asyncio
async def test_raw_bracket_prose_preserved_inline_and_gcs(self):
inline = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=-1,
)
prose = ("[INFO] ready", "[link](https://example.test)", "{not json}")
for value in prose:
payload, parts, truncated = await inline.parse(
types.Content(parts=[types.Part(text=value)])
)
assert payload == {"text_summary": value}
assert parts[0]["text"] == value
assert truncated is False
offloader = mock.AsyncMock()
offloader.upload_content.return_value = "gs://bucket/safe.txt"
offloaded = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=offloader,
trace_id="t",
span_id="s",
max_length=-1,
)
large_prose = "[INFO] " + "safe prose " * 4000
await offloaded.parse(types.Content(parts=[types.Part(text=large_prose)]))
assert offloader.upload_content.call_args.args[0] == large_prose
@pytest.mark.asyncio
async def test_bracket_prose_auth_and_signature_classification(self):
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=-1,
)
safe = (
r"[INFO] C:\Users\secret\project",
"[INFO] the bearer of bad news",
"[INFO] a basic principle",
"[INFO] a basic test",
"[INFO] design=balanced and progress%3D100%25",
)
for value in safe:
payload, parts, truncated = await parser.parse(
types.Content(parts=[types.Part(text=value)])
)
assert payload == {"text_summary": value}
assert parts[0]["text"] == value
assert truncated is False
unsafe = (
("[WARN] Bearer\tBRACKET-BEARER-SECRET", "BRACKET-BEARER-SECRET"),
("[WARN] Basic\ndXNlcjpwYXNz", "dXNlcjpwYXNz"),
("[WARN] sig=BRACKET-SIG-SECRET", "BRACKET-SIG-SECRET"),
(
"[WARN] x-amz-signature=BRACKET-AMZ-SECRET",
"BRACKET-AMZ-SECRET",
),
(
"[WARN] access%255Ftoken%253DBRACKET-ENCODED-SECRET",
"BRACKET-ENCODED-SECRET",
),
)
for value, secret in unsafe:
payload, parts, truncated = await parser.parse(
types.Content(parts=[types.Part(text=value)])
)
stored = json.dumps({"payload": payload, "parts": parts})
assert secret not in stored
assert "[UNPARSEABLE_JSON_BLOB]" in stored
assert truncated is True
@pytest.mark.asyncio
async def test_malformed_bracket_credentials_still_fail_closed(self):
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=-1,
)
for value in (
'{"access_token":"MALFORMED-SECRET"',
'{"access\\u005ftoken":"ESCAPED-SECRET"',
):
payload, parts, truncated = await parser.parse(
types.Content(parts=[types.Part(text=value)])
)
stored = json.dumps({"payload": payload, "parts": parts})
assert "MALFORMED-SECRET" not in stored
assert "ESCAPED-SECRET" not in stored
assert "[UNPARSEABLE_JSON_BLOB]" in stored
assert truncated is True
@pytest.mark.asyncio
async def test_external_uri_redacts_query_fragment_and_userinfo(self):
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=-1,
)
signed = (
"https://storage.example.test/safe/path?safe=kept"
"&X-Goog-Credential=URI-CREDENTIAL"
"&X-Goog-Signature=URI-SIGNATURE#access-token=FRAGMENT-SECRET"
)
_, parts, truncated = await parser.parse(
types.Content(
parts=[types.Part.from_uri(file_uri=signed, mime_type="text/plain")]
)
)
uri = parts[0]["uri"]
assert uri.startswith("https://storage.example.test/safe/path?")
assert "safe=kept" in uri
assert all(
secret not in uri
for secret in ("URI-CREDENTIAL", "URI-SIGNATURE", "FRAGMENT-SECRET")
)
assert truncated is True
userinfo = types.Part(
file_data=types.FileData(
file_uri="https://user:password@example.test/safe",
mime_type="text/plain",
)
)
_, parts, truncated = await parser.parse(types.Content(parts=[userinfo]))
assert parts[0]["uri"] == "[REDACTED_SENSITIVE_URI]"
assert truncated is True
@pytest.mark.asyncio
async def test_external_uri_redacts_sensitive_path_segments_and_variants(
self,
):
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=-1,
)
uri = (
"https://example.test/public/access-token/PATH-SECRET/report"
"?x-amz-signature=QUERY-SIGNATURE-SECRET"
"&access%255Ftoken%253DDOUBLE-QUERY-SECRET"
)
_, parts, truncated = await parser.parse(
types.Content(
parts=[types.Part.from_uri(file_uri=uri, mime_type="text/plain")]
)
)
stored_uri = parts[0]["uri"]
for secret in (
"PATH-SECRET",
"QUERY-SIGNATURE-SECRET",
"DOUBLE-QUERY-SECRET",
):
assert secret not in stored_uri
assert "/public/%5BREDACTED%5D/%5BREDACTED%5D/report" in stored_uri
assert truncated is True
safe_uri = "https://example.test/design/signal/public/progress%25/report"
_, parts, truncated = await parser.parse(
types.Content(
parts=[
types.Part.from_uri(file_uri=safe_uri, mime_type="text/plain")
]
)
)
assert parts[0]["uri"] == safe_uri
assert truncated is False
missing = types.Part(
file_data=types.FileData(file_uri=None, mime_type="text/plain")
)
_, parts, truncated = await parser.parse(types.Content(parts=[missing]))
assert parts[0]["uri"] == "[REDACTED_SENSITIVE_URI]"
assert truncated is True
@pytest.mark.asyncio
async def test_structured_non_text_parts_are_complete_and_private(self):
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=1000,
)
secret = "STRUCTURED-PART-SECRET"
content = types.Content(
parts=[
types.Part(
function_response=types.FunctionResponse(
name="lookup", response={"access_token": secret, "ok": True}
)
),
types.Part(
executable_code=types.ExecutableCode(
language=types.Language.PYTHON,
code=json.dumps({"private_key": secret}),
)
),
types.Part(
code_execution_result=types.CodeExecutionResult(
outcome=types.Outcome.OUTCOME_OK,
output=f"Authorization: Bearer {secret}",
)
),
]
)
payload, parts, truncated = await parser.parse(content)
stored = json.dumps({"payload": payload, "parts": parts})
assert secret not in stored
assert truncated is True
assert "Function response: lookup" in payload["text_summary"]
assert "Executable code" in payload["text_summary"]
assert "Code execution result" in payload["text_summary"]
assert "function_response" in json.loads(parts[0]["part_attributes"])
assert "executable_code" in json.loads(parts[1]["part_attributes"])
assert "code_execution_result" in json.loads(parts[2]["part_attributes"])
def test_structured_part_dictionary_keys_are_sanitized_without_collisions(
self,
):
parser = bigquery_agent_analytics_plugin.HybridContentParser(
offloader=None,
trace_id="t",
span_id="s",
max_length=1000,
)
value = mock.MagicMock()
value.model_dump.return_value = {
"access_token=[REDACTED]": "genuine-marker",
"access_token=KEY-ONE-SECRET": "first",
"access-token=KEY-TWO-SECRET": "second",
"[KEY_COLLISION_1]access_token=[REDACTED]": "genuine-collision",
"sig": "STRUCTURED-SIG-SECRET",
"x-amz-credential": "STRUCTURED-AMZ-SECRET",
}
serialized, content_lost = parser._serialize_part_model(value)
dumped = json.dumps(serialized)
assert "KEY-ONE-SECRET" not in dumped
assert "KEY-TWO-SECRET" not in dumped
assert "STRUCTURED-SIG-SECRET" not in dumped
assert "STRUCTURED-AMZ-SECRET" not in dumped
assert sorted(serialized.values()) == [
"[REDACTED]",
"[REDACTED]",
"first",
"genuine-collision",
"genuine-marker",
"second",
]
assert len(serialized) == 6
assert any(key.startswith("[KEY_COLLISION_") for key in serialized)
assert content_lost is True
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