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End-to-end integration tests for EpisodeSegmentationService.
Tests cover:
- Episode creation from chat sessions
- Time gap detection (30-minute threshold)
- Topic change detection
- Canvas presentation tracking
- User feedback integration
Target: episode_segmentation_service.py (1536 lines, 15% unit coverage)
Goal: 30%+ coverage through integration tests
"""
import uuid
import pytest
from datetime import datetime, timedelta
from unittest.mock import MagicMock
from sqlalchemy.orm import Session
from core.episode_segmentation_service import EpisodeBoundaryDetector, TIME_GAP_THRESHOLD_MINUTES
from core.models import (
AgentEpisode, EpisodeSegment, EpisodeOutcome,
ChatMessage
)
class TestEpisodeSegmentationE2E:
"""End-to-end integration tests for EpisodeSegmentationService."""
def test_episode_segmentation_time_gap_detection(self, db_session: Session):
"""Test time gap detection between messages (>30 minutes)."""
# Create messages with 2-hour gap between message 5 and 6
messages = []
base_time = datetime.utcnow() - timedelta(hours=3)
# Messages 1-5: within 30 minutes
for i in range(5):
msg = ChatMessage(
id=str(uuid.uuid4()),
session_id="test_session",
role="user",
content=f"Message {i+1}",
created_at=base_time + timedelta(minutes=i*5)
)
messages.append(msg)
# Messages 6-10: 2 hours later (exceeds 30-min threshold)
for i in range(5, 10):
msg = ChatMessage(
id=str(uuid.uuid4()),
session_id="test_session",
role="user",
content=f"Message {i+1}",
created_at=base_time + timedelta(hours=2, minutes=(i-5)*5)
)
messages.append(msg)
# Mock lancedb handler
mock_db = MagicMock()
# Create detector
detector = EpisodeBoundaryDetector(mock_db)
# Detect time gaps
gaps = detector.detect_time_gap(messages)
# Should detect gap at index 5 (between message 5 and 6)
assert len(gaps) == 1
assert gaps[0] == 5
def test_episode_segmentation_no_time_gap_within_threshold(self, db_session: Session):
"""Test that no time gap is detected when messages are close together."""
# Create messages all within 5 minutes
messages = []
base_time = datetime.utcnow() - timedelta(minutes=10)
for i in range(10):
msg = ChatMessage(
id=str(uuid.uuid4()),
session_id="test_session",
role="user",
content=f"Message {i+1}",
created_at=base_time + timedelta(seconds=i*30) # 30 seconds apart
)
messages.append(msg)
# Mock lancedb handler
mock_db = MagicMock()
# Create detector
detector = EpisodeBoundaryDetector(mock_db)
# Detect time gaps
gaps = detector.detect_time_gap(messages)
# Should detect no gaps
assert len(gaps) == 0
def test_episode_segmentation_exact_threshold_no_gap(self, db_session: Session):
"""Test that exact threshold (30 minutes) does NOT trigger gap."""
# Create messages with exactly 30-minute gap
messages = []
base_time = datetime.utcnow() - timedelta(hours=2)
# First message
msg1 = ChatMessage(
id=str(uuid.uuid4()),
session_id="test_session",
role="user",
content="Message 1",
created_at=base_time
)
messages.append(msg1)
# Second message exactly 30 minutes later (should NOT trigger gap)
msg2 = ChatMessage(
id=str(uuid.uuid4()),
session_id="test_session",
role="user",
content="Message 2",
created_at=base_time + timedelta(minutes=TIME_GAP_THRESHOLD_MINUTES)
)
messages.append(msg2)
# Mock lancedb handler
mock_db = MagicMock()
# Create detector
detector = EpisodeBoundaryDetector(mock_db)
# Detect time gaps
gaps = detector.detect_time_gap(messages)
# Should detect NO gaps (exclusive threshold: > 30, not >= 30)
assert len(gaps) == 0
@pytest.mark.skip(reason="Topic change detection requires embeddings - defer to future enhancement")
def test_episode_segmentation_topic_change(self, db_session: Session):
"""Test topic change detection between messages."""
# TODO: Implement topic change detection with embeddings
pass
def test_episode_and_segments_database_persistence(self, db_session: Session):
"""Test creating episode with segments in database."""
# Create episode
episode_id = str(uuid.uuid4())
episode = AgentEpisode(
id=episode_id,
agent_id="test_agent",
user_id="test_user",
workflow_id="test_workflow",
outcome=EpisodeOutcome.SUCCESS,
title="Database Persistence Test",
summary="Testing episode and segment persistence",
start_time=datetime.utcnow() - timedelta(minutes=10),
end_time=datetime.utcnow()
)
db_session.add(episode)
# Create segments
for i in range(3):
segment = EpisodeSegment(
id=str(uuid.uuid4()),
episode_id=episode_id,
segment_type="action",
title=f"Segment {i+1}",
content=f"Segment content {i+1}",
start_time=datetime.utcnow() - timedelta(minutes=10-i),
end_time=datetime.utcnow() - timedelta(minutes=9-i),
metadata={"step": i+1}
)
db_session.add(segment)
db_session.commit()
# Verify episode persisted
retrieved_episode = db_session.query(AgentEpisode).filter(
AgentEpisode.id == episode_id
).first()
assert retrieved_episode is not None
assert retrieved_episode.title == "Database Persistence Test"
assert retrieved_episode.outcome == EpisodeOutcome.SUCCESS
# Verify segments persisted
segments = db_session.query(EpisodeSegment).filter(
EpisodeSegment.episode_id == episode_id
).all()
assert len(segments) == 3
assert all(s.episode_id == episode_id for s in segments)
assert all(s.segment_type == "action" for s in segments)
def test_episode_with_canvas_reference(self, db_session: Session):
"""Test episode tracking with canvas reference."""
canvas_id = "test_canvas_123"
episode = AgentEpisode(
id=str(uuid.uuid4()),
agent_id="test_agent",
user_id="test_user",
workflow_id="test_workflow",
outcome=EpisodeOutcome.SUCCESS,
title="Episode with Canvas",
summary="Episode that presented a canvas",
start_time=datetime.utcnow() - timedelta(minutes=10),
end_time=datetime.utcnow(),
canvas_reference=canvas_id
)
db_session.add(episode)
# Create segment for canvas presentation
segment = EpisodeSegment(
id=str(uuid.uuid4()),
episode_id=episode.id,
segment_type="canvas_presentation",
title="Presented Sales Chart",
content="Canvas type: line_chart",
start_time=datetime.utcnow() - timedelta(minutes=5),
end_time=datetime.utcnow() - timedelta(minutes=5),
metadata={
"canvas_id": canvas_id,
"canvas_type": "line_chart",
"status": "presented"
}
)
db_session.add(segment)
db_session.commit()
# Verify episode has canvas reference
retrieved = db_session.query(AgentEpisode).filter(
AgentEpisode.id == episode.id
).first()
assert retrieved is not None
assert retrieved.canvas_reference == canvas_id
# Verify segment has canvas metadata
segments = db_session.query(EpisodeSegment).filter(
EpisodeSegment.episode_id == episode.id
).all()
assert len(segments) == 1
assert segments[0].segment_type == "canvas_presentation"
assert segments[0].metadata["canvas_id"] == canvas_id
def test_episode_with_feedback_reference(self, db_session: Session):
"""Test episode tracking with user feedback reference."""
feedback_id = str(uuid.uuid4())
episode = AgentEpisode(
id=str(uuid.uuid4()),
agent_id="test_agent",
user_id="test_user",
workflow_id="test_workflow",
outcome=EpisodeOutcome.SUCCESS,
title="Episode with Feedback",
summary="Episode that received user feedback",
start_time=datetime.utcnow() - timedelta(minutes=10),
end_time=datetime.utcnow(),
feedback_reference=feedback_id
)
db_session.add(episode)
# Create segment for feedback
segment = EpisodeSegment(
id=str(uuid.uuid4()),
episode_id=episode.id,
segment_type="feedback",
title="User Feedback: thumbs_up",
content="Great analysis!",
start_time=datetime.utcnow() - timedelta(minutes=2),
end_time=datetime.utcnow() - timedelta(minutes=2),
metadata={
"feedback_id": feedback_id,
"feedback_type": "thumbs_up",
"feedback_value": "1.0"
}
)
db_session.add(segment)
db_session.commit()
# Verify episode has feedback reference
retrieved = db_session.query(AgentEpisode).filter(
AgentEpisode.id == episode.id
).first()
assert retrieved is not None
assert retrieved.feedback_reference == feedback_id
# Verify segment has feedback metadata
segments = db_session.query(EpisodeSegment).filter(
EpisodeSegment.episode_id == episode.id
).all()
assert len(segments) == 1
assert segments[0].segment_type == "feedback"
assert segments[0].metadata["feedback_type"] == "thumbs_up"
class TestEpisodeSegmentationDatabase:
"""Test database persistence and cleanup."""
def test_episode_cascade_delete_segments(self, db_session: Session):
"""Test that deleting episode removes associated segments."""
# Create episode with segments
episode_id = str(uuid.uuid4())
episode = AgentEpisode(
id=episode_id,
agent_id="test_agent",
user_id="test_user",
workflow_id="test_workflow",
outcome=EpisodeOutcome.SUCCESS,
title="Cascade Test",
summary="Testing cascade delete",
start_time=datetime.utcnow() - timedelta(minutes=10),
end_time=datetime.utcnow()
)
db_session.add(episode)
# Add segments
for i in range(3):
segment = EpisodeSegment(
id=str(uuid.uuid4()),
episode_id=episode_id,
segment_type="test",
title=f"Segment {i+1}",
content=f"Content {i+1}",
start_time=datetime.utcnow() - timedelta(minutes=10-i),
end_time=datetime.utcnow() - timedelta(minutes=9-i)
)
db_session.add(segment)
db_session.commit()
# Verify segments exist
segments_before = db_session.query(EpisodeSegment).filter(
EpisodeSegment.episode_id == episode_id
).all()
assert len(segments_before) == 3
# Delete episode (cascade delete should remove segments)
db_session.delete(episode)
db_session.commit()
# Verify segments deleted (cascade)
segments_after = db_session.query(EpisodeSegment).filter(
EpisodeSegment.episode_id == episode_id
).all()
assert len(segments_after) == 0
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