jpmschweitzerandClaude Opus 4.5
49f0da8068
Build and Push / build (release) Successful in 1m14s
Two-Phase Tatlock Execution: - orchestrate_tool_calls() for Phase 1 coordination - synthesize_from_results() for Phase 2 butler-toned synthesis - Guarantees butler personality in all responses Automatic Think Slugs: - Deterministic butler-perspective messages during expert delegation - ActionType enum: RETRIEVE, RESEARCH, CREATE, CONTROL, RECORD - HOUSEHOLD_THINK_MESSAGES mapping for all experts - Streaming delegation wrappers with automatic think messages Steward Query Enrichment: - Auto-fill user context (location, timezone) when not specified - _build_enriched_query() with regex word boundary matching - enriched_query field in StewardRecommendation schema Documentation: - ORCHESTRATION_SCENARIOS.md rewritten with Mermaid diagrams - New Housekeeper and Biographer scenarios - TESTING_IMPROVEMENTS.md for future LLM testing patterns 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
301 lines
11 KiB
Python
301 lines
11 KiB
Python
"""
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Tests for Steward service layer.
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Tests request analysis, logging, and benchmarking integration.
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"""
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from unittest.mock import AsyncMock, MagicMock, patch
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import pytest
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from src.agents.steward.schemas import ConversationContext, StewardRecommendation
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from src.agents.steward.service import analyze_request, format_steward_note, _build_enriched_query
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from src.core.startup import initialize_application
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@pytest.fixture(scope="module", autouse=True)
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def setup_household_registry():
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"""Initialize household registry before running tests."""
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initialize_application()
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class TestAnalyzeRequest:
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"""Test the analyze_request service function."""
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@pytest.mark.asyncio
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async def test_analyze_simple_greeting(self):
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"""Test analyzing a simple greeting."""
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# Mock the Steward agent's analyze method (plain text approach)
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mock_agent = MagicMock()
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mock_agent.analyze = AsyncMock(return_value="Simple greeting requires no tools. This is a simple request.")
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with patch("src.agents.steward.service.get_steward_agent", return_value=mock_agent):
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with patch("src.agents.steward.service.get_benchmark_store") as mock_store:
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mock_store.return_value.record = AsyncMock()
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result = await analyze_request(
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"Hello!",
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conversation_history=[],
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)
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assert result.recommended_capabilities == []
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assert result.estimated_complexity == "simple"
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assert mock_agent.analyze.called
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@pytest.mark.asyncio
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async def test_analyze_math_request(self):
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"""Test analyzing a mathematical request."""
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mock_agent = MagicMock()
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mock_agent.analyze = AsyncMock(
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return_value="Mathematical calculation requires tatlock_core for solving this simple problem."
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)
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with patch("src.agents.steward.service.get_steward_agent", return_value=mock_agent):
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with patch("src.agents.steward.service.get_benchmark_store") as mock_store:
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mock_store.return_value.record = AsyncMock()
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result = await analyze_request(
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"What's sqrt(144)?",
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conversation_history=[],
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)
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assert "tatlock_core" in result.recommended_capabilities
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assert result.estimated_complexity == "simple"
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@pytest.mark.asyncio
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async def test_analyze_with_conversation_history(self):
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"""Test analyzing with previous conversation context."""
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mock_agent = MagicMock()
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mock_agent.analyze = AsyncMock(
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return_value="Follow-up to previous calculation in turn 0. Requires tatlock_core. Complexity: moderate."
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)
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conversation_history = [
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{"role": "user", "content": "What's 2 + 2?"},
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{"role": "assistant", "content": "4"},
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]
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with patch("src.agents.steward.service.get_steward_agent", return_value=mock_agent):
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with patch("src.agents.steward.service.get_benchmark_store") as mock_store:
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mock_store.return_value.record = AsyncMock()
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result = await analyze_request(
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"And what's that times 5?",
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conversation_history=conversation_history,
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)
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assert result.conversation_context.has_previous_context is True
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assert 0 in result.conversation_context.relevant_turns
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# Verify conversation history was passed
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call_kwargs = mock_agent.analyze.call_args.kwargs
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assert "conversation_history" in call_kwargs
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assert len(call_kwargs["conversation_history"]) == 2
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@pytest.mark.asyncio
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async def test_analyze_with_missing_capabilities(self):
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"""Test analyzing request that needs unavailable capabilities."""
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mock_agent = MagicMock()
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mock_agent.analyze = AsyncMock(
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return_value="Image generation not available. Would be needed for this request. Complexity: simple."
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)
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with patch("src.agents.steward.service.get_steward_agent", return_value=mock_agent):
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with patch("src.agents.steward.service.get_benchmark_store") as mock_store:
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mock_store.return_value.record = AsyncMock()
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result = await analyze_request(
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"Generate an image of a sunset",
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conversation_history=[],
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)
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assert result.missing_capabilities is not None
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assert "not available" in result.missing_capabilities
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@pytest.mark.asyncio
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async def test_analyze_with_conversation_id(self):
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"""Test that analysis includes conversation ID in context."""
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mock_agent = MagicMock()
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mock_agent.analyze = AsyncMock(
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return_value="This simple request requires tatlock_core to solve."
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)
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with patch("src.agents.steward.service.get_steward_agent", return_value=mock_agent):
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with patch("src.agents.steward.service.get_benchmark_store") as mock_store:
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mock_store.return_value.record = AsyncMock()
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result = await analyze_request(
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"Test request",
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conversation_history=[],
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conversation_id="test_conv_123",
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)
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# Verify analysis completed successfully
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assert result.recommended_capabilities == ["tatlock_core"]
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assert result.estimated_complexity == "simple"
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@pytest.mark.asyncio
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async def test_analyze_handles_errors(self):
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"""Test error handling in analyze_request."""
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mock_agent = MagicMock()
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mock_agent.analyze = AsyncMock(side_effect=Exception("Test error"))
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with patch("src.agents.steward.service.get_steward_agent", return_value=mock_agent):
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with pytest.raises(Exception, match="Test error"):
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await analyze_request("Test", conversation_history=[])
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class TestFormatStewardNote:
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"""Test the format_steward_note function."""
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@pytest.mark.asyncio
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async def test_format_simple_note(self):
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"""Test formatting a simple recommendation."""
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rec = StewardRecommendation(
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recommended_capabilities=["tatlock_core"],
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reasoning="Math needed",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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)
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note = await format_steward_note(rec)
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assert "📋 Steward's Analysis" in note
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assert "SIMPLE" in note
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assert "tatlock_core" in note
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@pytest.mark.asyncio
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async def test_format_note_with_context(self):
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"""Test formatting note with conversation context."""
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context = ConversationContext(
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has_previous_context=True,
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relevant_turns=[0, 1],
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context_summary="Previous discussion about calculations"
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)
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rec = StewardRecommendation(
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recommended_capabilities=["tatlock_core"],
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reasoning="Follow-up calculation",
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estimated_complexity="moderate",
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conversation_context=context,
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)
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note = await format_steward_note(rec)
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assert "Context:" in note
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assert "Previous discussion" in note
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@pytest.mark.asyncio
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async def test_format_note_with_missing_capabilities(self):
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"""Test formatting note with missing capabilities warning."""
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rec = StewardRecommendation(
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recommended_capabilities=[],
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reasoning="Not available",
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estimated_complexity="simple",
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conversation_context=ConversationContext(has_previous_context=False),
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missing_capabilities="Advanced research tools needed",
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)
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note = await format_steward_note(rec)
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assert "⚠️ Missing:" in note
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assert "Advanced research" in note
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@pytest.mark.unit
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class TestBuildEnrichedQuery:
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"""Tests for _build_enriched_query function."""
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def test_no_enrichment_without_context(self):
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"""Test no enrichment when memory context is empty."""
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query = "What's the weather?"
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result = _build_enriched_query(query, {})
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assert result == query
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def test_enrichment_adds_location(self):
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"""Test location is appended for weather queries."""
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query = "What's the weather?"
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memory_context = {
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"profile": {"location": "Amsterdam", "timezone": "Europe/Amsterdam"}
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}
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result = _build_enriched_query(query, memory_context)
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assert "location=Amsterdam" in result
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assert query in result
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assert "[User Context:" in result
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def test_no_location_when_specified(self):
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"""Test location is not appended when already specified."""
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query = "What's the weather in London?"
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memory_context = {
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"profile": {"location": "Amsterdam"}
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}
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result = _build_enriched_query(query, memory_context)
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# Should not add Amsterdam since location is specified
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assert result == query
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def test_enrichment_adds_timezone(self):
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"""Test timezone is appended for time queries."""
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query = "What time is it?"
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memory_context = {
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"profile": {"timezone": "Europe/Amsterdam"}
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}
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result = _build_enriched_query(query, memory_context)
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assert "timezone=Europe/Amsterdam" in result
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def test_no_timezone_when_specified(self):
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"""Test timezone is not appended when already specified."""
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query = "What time is it in UTC?"
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memory_context = {
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"profile": {"timezone": "Europe/Amsterdam"}
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}
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result = _build_enriched_query(query, memory_context)
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assert result == query
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def test_enrichment_adds_temperature_unit(self):
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"""Test temperature unit is appended for weather queries."""
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query = "What's the weather?"
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memory_context = {
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"profile": {"location": "Amsterdam"},
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"preferences": {"temperature_unit": "celsius"}
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}
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result = _build_enriched_query(query, memory_context)
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assert "temperature_unit=celsius" in result
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def test_multiple_context_fields(self):
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"""Test multiple context fields are appended."""
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query = "What time and weather today?"
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memory_context = {
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"profile": {
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"location": "Amsterdam",
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"timezone": "Europe/Amsterdam"
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},
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"preferences": {"temperature_unit": "celsius"}
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}
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result = _build_enriched_query(query, memory_context)
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assert "location=Amsterdam" in result
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assert "timezone=Europe/Amsterdam" in result
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assert "temperature_unit=celsius" in result
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def test_no_enrichment_for_unrelated_query(self):
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"""Test no enrichment for queries that don't need context."""
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query = "Tell me a joke"
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memory_context = {
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"profile": {"location": "Amsterdam", "timezone": "Europe/Amsterdam"}
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}
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result = _build_enriched_query(query, memory_context)
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assert result == query
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