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feat(monitoring): unify execution views and trace tool calls
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@@ -0,0 +1,350 @@
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"""Execution-view tests for the monitoring service.
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Covers the unified agent-run + pipeline-query execution list, its rollup
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summary, and single-execution traces.
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"""
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from __future__ import annotations
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import datetime
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from types import SimpleNamespace
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import pytest
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from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
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from sqlalchemy.orm import sessionmaker
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from langbot.pkg.api.http.service.monitoring import MonitoringService
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from langbot.pkg.entity.persistence import agent_interaction as persistence_interaction
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from langbot.pkg.entity.persistence import agent_run as persistence_agent_run
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from langbot.pkg.entity.persistence import monitoring as persistence_monitoring
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from langbot.pkg.entity.persistence import workspace as persistence_workspace # noqa: F401
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from langbot.pkg.entity.persistence.base import Base
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WORKSPACE = 'workspace-1'
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class FakePersistenceManager:
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"""Runs statements against a real in-memory SQLite engine."""
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def __init__(self, engine):
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self._engine = engine
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self._factory = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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def get_db_engine(self):
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return self._engine
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async def execute_async(self, statement):
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# Match PersistenceManager's connection-level result shape.
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async with self._engine.connect() as connection:
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return await connection.execute(statement)
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@staticmethod
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def serialize_model(model, data):
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out = {}
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for column in model.__table__.columns:
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value = getattr(data, column.name)
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out[column.name] = value.isoformat() if isinstance(value, datetime.datetime) else value
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return out
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@pytest.fixture
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async def engine(tmp_path):
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engine = create_async_engine(f'sqlite+aiosqlite:///{tmp_path / "monitoring_executions.db"}')
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async with engine.begin() as conn:
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await conn.run_sync(Base.metadata.create_all)
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yield engine
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await engine.dispose()
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@pytest.fixture
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def service(engine):
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ap = SimpleNamespace(
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persistence_mgr=FakePersistenceManager(engine),
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instance_config=None,
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)
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return MonitoringService(ap)
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def _dt(hour: int, minute: int = 0, second: int = 0) -> datetime.datetime:
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return datetime.datetime(2026, 1, 1, hour, minute, second)
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async def _seed(engine) -> None:
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factory = sessionmaker(engine, class_=AsyncSession, expire_on_commit=False)
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async with factory() as session:
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session.add_all(
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[
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persistence_agent_run.AgentRun(
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run_id='run-done',
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event_id='evt-1',
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agent_id='agent-1',
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binding_id='agent_agent-1_default',
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runner_id='runner-1',
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workspace_id=WORKSPACE,
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bot_id='bot-1',
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status='completed',
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created_at=_dt(10),
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started_at=_dt(10, 0, 1),
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finished_at=_dt(10, 0, 3),
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usage_json='{"total_tokens": 42}',
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),
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persistence_agent_run.AgentRun(
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run_id='run-failed',
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binding_id='agent_agent-1_default',
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runner_id='runner-1',
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workspace_id=WORKSPACE,
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bot_id='bot-1',
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status='failed',
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created_at=_dt(10, 5),
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),
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persistence_agent_run.AgentRun(
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run_id='run-debug',
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event_id='debug:agent-1:e1',
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agent_id='agent-1',
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binding_id='debug:agent-1:runner-1',
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runner_id='runner-1',
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workspace_id=WORKSPACE,
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bot_id='bot-1',
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status='completed',
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created_at=_dt(10, 6),
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started_at=_dt(10, 6, 0),
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finished_at=_dt(10, 6, 1),
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),
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persistence_agent_run.AgentRunEvent(
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run_id='run-done',
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sequence=1,
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type='run.completed',
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data_json='{"message": {"role": "assistant", "content": "hi"}}',
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),
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persistence_interaction.AgentInteraction(
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interaction_id='int-1',
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run_id='run-done',
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binding_id='agent_agent-1_default',
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runner_id='runner-1',
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processor_type='agent',
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processor_id='agent-1',
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workspace_id=WORKSPACE,
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status='pending',
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request_json='{}',
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callback_token_hash='hash-1',
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),
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]
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)
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for message in [
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dict(
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id='msg-user',
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timestamp=_dt(10, 2),
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session_id='session-1',
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message_content='{"chain": [{"type": "Plain", "text": "hello there"}]}',
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status='success',
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role='user',
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),
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dict(
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id='msg-assistant',
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timestamp=_dt(10, 3),
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session_id='session-1',
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message_content='{"chain": [{"type": "Plain", "text": "reply"}]}',
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status='success',
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role='assistant',
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),
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dict(
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id='msg-discarded',
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timestamp=_dt(10, 4),
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session_id='session-2',
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message_content='{"chain": [{"type": "Plain", "text": "ignored"}]}',
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status='discarded',
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role='user',
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),
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]:
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session.add(
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persistence_monitoring.MonitoringMessage(
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workspace_uuid=WORKSPACE,
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bot_id='bot-1',
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bot_name='Bot One',
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pipeline_id='pipeline-1',
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pipeline_name='Pipeline One',
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level='info',
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**message,
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)
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)
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session.add_all(
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[
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persistence_monitoring.MonitoringLLMCall(
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id='llm-1',
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workspace_uuid=WORKSPACE,
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timestamp=_dt(10, 2, 30),
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model_name='gpt',
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input_tokens=10,
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output_tokens=20,
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total_tokens=30,
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duration=100,
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status='success',
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bot_id='bot-1',
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bot_name='Bot One',
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pipeline_id='pipeline-1',
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pipeline_name='Pipeline One',
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session_id='session-1',
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message_id='msg-user',
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),
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persistence_monitoring.MonitoringLLMCall(
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id='llm-2',
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workspace_uuid=WORKSPACE,
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timestamp=_dt(10, 4, 30),
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model_name='gpt',
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input_tokens=0,
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output_tokens=0,
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total_tokens=0,
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duration=50,
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status='success',
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bot_id='bot-1',
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bot_name='Bot One',
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pipeline_id='pipeline-1',
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pipeline_name='Pipeline One',
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session_id='session-2',
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message_id='msg-discarded',
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),
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]
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)
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session.add(
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persistence_monitoring.MonitoringSession(
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workspace_uuid=WORKSPACE,
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bot_id='bot-1',
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session_id='session-1',
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bot_name='Bot One',
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pipeline_id='pipeline-1',
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pipeline_name='Pipeline One',
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message_count=2,
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start_time=_dt(10, 2),
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last_activity=_dt(10, 5),
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is_active=True,
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)
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)
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await session.commit()
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@pytest.mark.asyncio
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async def test_executions_merge_and_order_both_sources(engine, service):
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await _seed(engine)
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result = await service.get_executions(WORKSPACE, limit=50)
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assert result['total'] == 5
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ids = [(item['source'], item['id']) for item in result['items']]
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# Assistant replies are outputs, not executions.
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assert ('pipeline', 'msg-assistant') not in ids
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# Newest first across both object types.
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assert ids == [
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('agent', 'run-debug'),
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('agent', 'run-failed'),
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('pipeline', 'msg-discarded'),
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('pipeline', 'msg-user'),
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('agent', 'run-done'),
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]
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by_id = {item['id']: item for item in result['items']}
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assert result['summary']['executions']['total'] == 5
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assert result['summary']['executions']['denominator'] == 4
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assert result['summary']['tokens']['calls'] == 2
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assert result['summary']['tokens']['calls_with_usage'] == 1
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assert by_id['run-done']['status_group'] == 'completed'
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assert by_id['run-failed']['status_group'] == 'failed'
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assert by_id['run-debug']['debug'] is True
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assert by_id['run-done']['debug'] is False
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assert by_id['run-done']['usage'] == {'total_tokens': 42}
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assert by_id['run-done']['duration_ms'] == 2000
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assert by_id['msg-user']['status_group'] == 'completed'
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assert by_id['msg-discarded']['status_group'] == 'ignored'
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assert by_id['msg-user']['title'] == 'hello there'
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assert by_id['msg-user']['target_id'] == 'pipeline-1'
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@pytest.mark.asyncio
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async def test_executions_source_status_and_paging(engine, service):
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await _seed(engine)
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only_agents = await service.get_executions(WORKSPACE, source='agent')
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assert {item['source'] for item in only_agents['items']} == {'agent'}
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assert only_agents['total'] == 3
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pipeline_only = await service.get_executions(WORKSPACE, source='pipeline')
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assert {item['source'] for item in pipeline_only['items']} == {'pipeline'}
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assert pipeline_only['total'] == 2
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# A single-object target selection narrows the union to that source.
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by_pipeline = await service.get_executions(WORKSPACE, pipeline_ids=['pipeline-1'])
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assert {item['source'] for item in by_pipeline['items']} == {'pipeline'}
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failed = await service.get_executions(WORKSPACE, statuses=['failed'])
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assert [item['id'] for item in failed['items']] == ['run-failed']
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# `ignored` only exists for pipeline queries: it must not widen the agent
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# filter back to "every status".
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ignored = await service.get_executions(WORKSPACE, statuses=['ignored'])
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assert [item['id'] for item in ignored['items']] == ['msg-discarded']
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debug_only = await service.get_executions(WORKSPACE, mode='debug')
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assert [item['id'] for item in debug_only['items']] == ['run-debug']
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first_page = await service.get_executions(WORKSPACE, limit=2)
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assert len(first_page['items']) == 2
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assert first_page['has_more'] is True
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second_page = await service.get_executions(WORKSPACE, limit=2, offset=2)
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assert first_page['items'][0]['id'] != second_page['items'][0]['id']
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@pytest.mark.asyncio
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async def test_execution_summary_uses_explicit_denominator(engine, service):
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await _seed(engine)
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summary = (await service.get_executions(WORKSPACE))['summary']
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executions = summary['executions']
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# completed = run-done + run-debug + msg-user; failed = run-failed.
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assert executions['by_source'] == {'agent': 3, 'pipeline': 2}
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assert executions['completed'] == 3
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assert executions['failed'] == 1
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assert executions['ignored'] == 1
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assert executions['denominator'] == 4
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assert executions['success_rate'] == 75.0
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assert executions['debug'] == 1
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assert executions['real'] == 4
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assert executions['waiting'] == 1
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assert executions['p50_duration_ms'] == 1000
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assert executions['p95_duration_ms'] == 2000
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# Only run-done and run-debug are completed runs with a start and a finish.
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assert executions['duration_sample'] == 2
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# Token coverage is explicit: llm-2 succeeded without usage.
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assert summary['tokens'] == {'total_tokens': 30, 'calls': 2, 'calls_with_usage': 1}
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@pytest.mark.asyncio
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async def test_overview_metrics_keep_message_rollup(engine, service):
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await _seed(engine)
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overview = await service.get_overview_metrics(WORKSPACE)
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assert overview['total_messages'] == 3
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assert overview['llm_calls'] == 2
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assert overview['model_calls'] == 2
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assert overview['active_sessions'] == 1
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@pytest.mark.asyncio
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async def test_execution_detail_for_agent_and_pipeline(engine, service):
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await _seed(engine)
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agent_detail = await service.get_execution_detail(WORKSPACE, 'agent', 'run-done')
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assert agent_detail['run']['run_id'] == 'run-done'
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assert agent_detail['events'][0]['type'] == 'run.completed'
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pipeline_detail = await service.get_execution_detail(WORKSPACE, 'pipeline', 'msg-user')
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assert pipeline_detail['message']['id'] == 'msg-user'
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assert [call['id'] for call in pipeline_detail['llm_calls']] == ['llm-1']
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assert pipeline_detail['tool_calls'] == []
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with pytest.raises(ValueError):
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await service.get_execution_detail(WORKSPACE, 'agent', 'missing-run')
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with pytest.raises(ValueError):
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await service.get_execution_detail(WORKSPACE, 'pipeline', 'missing-message')
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