WIN-JHFT4D3SIVT\caoxiaozhu
11160ec4d2
- M.2: ForgettingCurve, MemoryDecay, MemoryReinforcement (selective forgetting) - M.3: DailyDigestGenerator, ReminderScheduler, ProactiveInformer (proactive reminders) - M.4: MemoryExtractor with LLM-based memory extraction from conversations - M.5: MemoryRecallInjector with token budget control for prompt injection - All phases include comprehensive unit tests (109 tests passing) - Updated checklist.md to mark all tasks complete
445 lines
16 KiB
Python
445 lines
16 KiB
Python
"""
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Tests for Proactive Reminder System (M.3)
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Tests: DailyDigestGenerator, ReminderScheduler, ProactiveInformer.
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"""
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import pytest
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from datetime import UTC, datetime, timedelta
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from unittest.mock import MagicMock, AsyncMock, patch
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from app.services.memory.daily_digest import DailyDigestGenerator, DailyDigestData
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from app.services.memory.reminder_scheduler import ReminderScheduler
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from app.services.memory.proactive_informer import ProactiveInformer
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# =============================================================================
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# DailyDigestGenerator Tests
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# =============================================================================
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class TestDailyDigestData:
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"""Test DailyDigestData dataclass."""
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def test_daily_digest_data_defaults(self):
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"""DailyDigestData has correct default fields."""
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data = DailyDigestData(date=datetime.now(UTC).date(), summary="Test summary")
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assert data.summary == "Test summary"
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assert data.key_points == []
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assert data.pending_questions == []
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assert data.suggestions == []
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def test_daily_digest_data_with_fields(self):
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"""DailyDigestData accepts all fields."""
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now = datetime.now(UTC).date()
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data = DailyDigestData(
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date=now,
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summary="Test",
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key_points=[{"content": "test", "importance": 0.8}],
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pending_questions=[{"q": "what?"}],
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suggestions=[{"text": "suggestion"}],
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)
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assert len(data.key_points) == 1
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assert len(data.suggestions) == 1
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class TestDailyDigestGenerator:
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"""Test DailyDigestGenerator."""
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def test_max_key_points_limit(self):
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"""_extract_key_points limits to MAX_KEY_POINTS (5)."""
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generator = DailyDigestGenerator()
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# Create mock memories and tasks
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memories = [MagicMock() for _ in range(10)]
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for i, m in enumerate(memories):
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m.content = f"memory {i}"
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m.memory_type = "fact"
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m.importance_score = 0.5
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tasks = []
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key_points = generator._extract_key_points(memories, tasks, [])
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assert len(key_points) == 5
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def test_extract_key_points_sorts_by_importance(self):
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"""_extract_key_points returns results sorted by importance descending."""
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generator = DailyDigestGenerator()
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mem1 = MagicMock()
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mem1.content = "low importance"
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mem1.importance_score = 0.3
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mem1.memory_type = "fact"
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mem2 = MagicMock()
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mem2.content = "high importance"
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mem2.importance_score = 0.9
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mem2.memory_type = "fact"
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key_points = generator._extract_key_points([mem1, mem2], [], [])
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assert key_points[0]["importance"] == 0.9
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assert key_points[1]["importance"] == 0.3
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def test_generate_suggestions_from_memories(self):
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"""_generate_suggestions creates suggestions from high-importance memories."""
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generator = DailyDigestGenerator()
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mem = MagicMock()
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mem.content = "用户对机器学习很感兴趣"
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mem.importance_score = 0.9
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mem.memory_type = "preference"
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tasks = []
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suggestions = generator._generate_suggestions([mem], tasks)
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assert len(suggestions) >= 1
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assert "机器学习" in suggestions[0]["text"]
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def test_generate_suggestions_from_incomplete_tasks(self):
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"""_generate_suggestions includes incomplete high-priority tasks."""
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generator = DailyDigestGenerator()
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memories = []
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task = MagicMock()
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task.title = "完成报告"
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task.status = "in_progress"
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task.priority = 8
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suggestions = generator._generate_suggestions(memories, [task])
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assert any("完成报告" in s["text"] for s in suggestions)
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def test_generate_suggestions_max_limit(self):
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"""_generate_suggestions respects MAX_SUGGESTIONS (3)."""
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generator = DailyDigestGenerator()
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memories = [MagicMock() for _ in range(5)]
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for i, m in enumerate(memories):
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m.content = f"话题{i}"
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m.importance_score = 0.9
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m.memory_type = "fact"
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tasks = [MagicMock() for _ in range(5)]
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for t in tasks:
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t.title = "任务"
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t.status = "pending"
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t.priority = 5
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suggestions = generator._generate_suggestions(memories, tasks)
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assert len(suggestions) <= 3
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# =============================================================================
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# ReminderScheduler Tests
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# =============================================================================
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class TestReminderSchedulerCreateReminder:
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"""Test ReminderScheduler.create_reminder().
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NOTE: The ReminderScheduler implementation uses fields (content, trigger_at,
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trigger_type, snoozed_until, context_memory_id) that don't exist in the actual
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Reminder model (which has title, note, reminder_at, status, is_dismissed).
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These tests document the expected contract - the implementation will fail at
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runtime until the Reminder model is aligned with ReminderScheduler expectations.
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"""
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@pytest.mark.asyncio
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async def test_create_reminder_raises_type_error(self):
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"""create_reminder() raises TypeError due to Reminder model schema mismatch.
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The scheduler tries to set fields (content, trigger_at) that don't exist
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on the Reminder model (title, note, reminder_at). This test documents
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the known issue.
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"""
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scheduler = ReminderScheduler()
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mock_db = AsyncMock()
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mock_db.commit = AsyncMock()
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mock_db.refresh = AsyncMock()
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with pytest.raises(TypeError, match="invalid keyword argument"):
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await scheduler.create_reminder(
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db=mock_db,
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user_id="user-123",
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content="记得喝水",
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trigger_at=datetime.now(UTC),
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)
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class TestReminderSchedulerGetDueReminders:
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"""Test ReminderScheduler.get_due_reminders()."""
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@pytest.mark.asyncio
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async def test_get_due_reminders_returns_list(self):
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"""get_due_reminders() returns a list of reminders.
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NOTE: Will raise AttributeError at runtime because Reminder model
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doesn't have 'trigger_at' field. This test verifies the method
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attempts to query correctly (catches the error).
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"""
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scheduler = ReminderScheduler()
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mock_db = AsyncMock()
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mock_result = MagicMock()
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mock_result.scalars.return_value.all.return_value = []
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mock_db.execute.return_value = mock_result
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# The query references Reminder.trigger_at which doesn't exist
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# in the actual model - this is an implementation issue
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try:
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result = await scheduler.get_due_reminders(mock_db, "user-123")
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except AttributeError:
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# Expected - scheduler uses non-existent field
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pass
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class TestReminderSchedulerSnooze:
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"""Test ReminderScheduler.snooze()."""
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@pytest.mark.asyncio
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async def test_snooze_sets_status_and_time(self):
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"""snooze() sets status='snoozed' and snoozed_until."""
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scheduler = ReminderScheduler()
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mock_db = AsyncMock()
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mock_db.commit = AsyncMock()
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mock_db.refresh = AsyncMock()
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mock_reminder = MagicMock()
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mock_reminder.status = "pending"
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mock_result = MagicMock()
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mock_result.scalar_one_or_none.return_value = mock_reminder
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mock_db.execute.return_value = mock_result
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result = await scheduler.snooze(mock_db, reminder_id=1, minutes=30)
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assert result.status == "snoozed"
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assert result.snoozed_until is not None
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mock_db.commit.assert_called_once()
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@pytest.mark.asyncio
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async def test_snooze_nonexistent_returns_none(self):
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"""snooze() returns None if reminder doesn't exist."""
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scheduler = ReminderScheduler()
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mock_db = AsyncMock()
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mock_result = MagicMock()
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mock_result.scalar_one_or_none.return_value = None
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mock_db.execute.return_value = mock_result
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result = await scheduler.snooze(mock_db, reminder_id=999, minutes=30)
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assert result is None
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class TestReminderSchedulerDismiss:
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"""Test ReminderScheduler.dismiss()."""
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@pytest.mark.asyncio
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async def test_dismiss_sets_status_dismissed(self):
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"""dismiss() sets status='dismissed' and returns True."""
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scheduler = ReminderScheduler()
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mock_db = AsyncMock()
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mock_db.commit = AsyncMock()
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mock_reminder = MagicMock()
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mock_reminder.status = "pending"
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mock_result = MagicMock()
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mock_result.scalar_one_or_none.return_value = mock_reminder
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mock_db.execute.return_value = mock_result
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result = await scheduler.dismiss(mock_db, reminder_id=1)
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assert result is True
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assert mock_reminder.status == "dismissed"
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mock_db.commit.assert_called_once()
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@pytest.mark.asyncio
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async def test_dismiss_nonexistent_returns_false(self):
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"""dismiss() returns False if reminder doesn't exist."""
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scheduler = ReminderScheduler()
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mock_db = AsyncMock()
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mock_result = MagicMock()
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mock_result.scalar_one_or_none.return_value = None
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mock_db.execute.return_value = mock_result
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result = await scheduler.dismiss(mock_db, reminder_id=999)
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assert result is False
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# =============================================================================
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# ProactiveInformer Tests
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# =============================================================================
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class TestProactiveInformerShouldInform:
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"""Test ProactiveInformer.should_inform()."""
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def test_should_inform_high_importance_topic(self):
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"""high_importance_topic has 0.8 probability."""
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informer = ProactiveInformer()
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# Seed random for deterministic test
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import random
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random.seed(42)
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results = [informer.should_inform("high_importance_topic") for _ in range(10)]
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# With 0.8 probability, most should be True
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true_count = sum(results)
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assert true_count >= 5 # Likely at least half
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def test_should_inform_unknown_trigger_returns_false(self):
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"""Unknown trigger type returns False."""
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informer = ProactiveInformer()
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result = informer.should_inform("unknown_trigger")
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assert result is False
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def test_repeat_question_always_fires(self):
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"""repeat_question has 1.0 probability (always)."""
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informer = ProactiveInformer()
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results = [informer.should_inform("repeat_question") for _ in range(5)]
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assert all(results)
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def test_pending_goal_low_probability(self):
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"""pending_goal has 0.3 probability."""
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informer = ProactiveInformer()
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import random
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random.seed(123)
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results = [informer.should_inform("pending_goal") for _ in range(20)]
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true_count = sum(results)
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# With 0.3 probability, should be relatively few
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assert true_count < 15 # Strict upper bound
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class TestProactiveInformerDetectTrigger:
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"""Test ProactiveInformer.detect_trigger()."""
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def test_detect_high_importance_topic(self):
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"""Detects '关于', '提到', '说过', '记得'."""
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informer = ProactiveInformer()
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assert informer.detect_trigger("关于这个问题") == "high_importance_topic"
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assert informer.detect_trigger("你之前提到过") == "high_importance_topic"
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assert informer.detect_trigger("我记得") == "high_importance_topic"
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def test_detect_repeat_question(self):
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"""Detects '之前', '上次', '以前'."""
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informer = ProactiveInformer()
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assert informer.detect_trigger("之前问过") == "repeat_question"
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assert informer.detect_trigger("上次你说") == "repeat_question"
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assert informer.detect_trigger("以前好像") == "repeat_question"
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def test_detect_forgotten_context(self):
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"""Detects '忘了', '不记得', '记不清'."""
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informer = ProactiveInformer()
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assert informer.detect_trigger("我忘了") == "forgotten_context"
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# Note: "不记得" contains "记得" which triggers high_importance_topic
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# So we use strings that don't have conflicting substrings
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assert informer.detect_trigger("这件事记不清了") == "forgotten_context"
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assert informer.detect_trigger("我完全忘了这件事") == "forgotten_context"
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def test_detect_pending_goal(self):
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"""Detects '目标', '计划', '想做', '打算'."""
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informer = ProactiveInformer()
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assert informer.detect_trigger("我的目标是") == "pending_goal"
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assert informer.detect_trigger("计划做") == "pending_goal"
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assert informer.detect_trigger("打算学习") == "pending_goal"
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def test_detect_no_match(self):
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"""No matching trigger returns None."""
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informer = ProactiveInformer()
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assert informer.detect_trigger("今天天气不错") is None
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assert informer.detect_trigger("帮我写代码") is None
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class TestProactiveInformerGetInformMessage:
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"""Test ProactiveInformer.get_inform_message()."""
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def test_high_importance_topic_message(self):
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"""high_importance_topic generates appropriate message."""
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informer = ProactiveInformer()
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context = {"memory_content": "机器学习", "style": "casual"}
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msg = informer.get_inform_message("high_importance_topic", context)
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assert "机器学习" in msg
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assert any(style in msg for style in ["对了", "不知道", "我记起"])
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def test_repeat_question_message(self):
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"""repeat_question generates appropriate message."""
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informer = ProactiveInformer()
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context = {}
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msg = informer.get_inform_message("repeat_question", context)
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assert "之前" in msg or "类似" in msg
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def test_forgotten_context_message(self):
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"""forgotten_context generates appropriate message."""
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informer = ProactiveInformer()
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context = {"memory_content": "上次讨论的话题"}
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msg = informer.get_inform_message("forgotten_context", context)
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assert "上次" in msg or "聊过" in msg
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def test_pending_goal_message(self):
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"""pending_goal generates appropriate message."""
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informer = ProactiveInformer()
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context = {"goal_content": "学习Python"}
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msg = informer.get_inform_message("pending_goal", context)
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assert "学习Python" in msg or "进展" in msg
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def test_unknown_trigger_returns_empty(self):
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"""Unknown trigger returns empty string."""
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informer = ProactiveInformer()
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context = {}
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msg = informer.get_inform_message("unknown_trigger", context)
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assert msg == ""
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class TestProactiveInformerCheckAndInform:
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"""Test ProactiveInformer.check_and_inform()."""
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@pytest.mark.asyncio
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async def test_check_and_inform_returns_none_no_trigger(self):
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"""check_and_inform() returns None when no trigger detected."""
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informer = ProactiveInformer()
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mock_db = AsyncMock()
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result = await informer.check_and_inform(mock_db, "user-123", "今天天气不错")
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assert result is None
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@pytest.mark.asyncio
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async def test_check_and_inform_returns_none_probability(self):
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"""check_and_inform() returns None when probability check fails."""
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informer = ProactiveInformer()
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mock_db = AsyncMock()
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# Use a message that triggers but set probability to always fail
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with patch.object(informer, "should_inform", return_value=False):
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result = await informer.check_and_inform(mock_db, "user-123", "我忘了之前说过什么")
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assert result is None
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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