Anto01
32caa5d05c
Study Interview Mode is now the DEFAULT for all study creation requests. This intelligent Q&A system guides users through optimization setup with: - 7-phase interview flow: introspection → objectives → constraints → design_variables → validation → review → complete - Material-aware validation with 12 materials and fuzzy name matching - Anti-pattern detection for 12 common mistakes (mass-no-constraint, stress-over-yield, etc.) - Auto extractor mapping E1-E24 based on goal keywords - State persistence with JSON serialization and backup rotation - StudyBlueprint generation with full validation Triggers: "create a study", "new study", "optimize this", any study creation intent Skip with: "skip interview", "quick setup", "manual config" Components: - StudyInterviewEngine: Main orchestrator - QuestionEngine: Conditional logic evaluation - EngineeringValidator: MaterialsDatabase + AntiPatternDetector - InterviewPresenter: Markdown formatting for Claude - StudyBlueprint: Validated configuration output - InterviewState: Persistent state management All 129 tests passing. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
432 lines
14 KiB
Python
432 lines
14 KiB
Python
"""Integration tests for StudyInterviewEngine."""
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import pytest
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import tempfile
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from pathlib import Path
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from optimization_engine.interview.study_interview import (
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StudyInterviewEngine,
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InterviewSession,
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NextAction,
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run_interview,
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)
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from optimization_engine.interview.interview_state import InterviewState, InterviewPhase
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class TestInterviewSession:
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"""Tests for InterviewSession dataclass."""
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def test_creation(self):
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"""Test creating interview session."""
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from datetime import datetime
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session = InterviewSession(
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session_id="abc123",
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study_name="test_study",
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study_path=Path("/tmp/test"),
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started_at=datetime.now(),
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current_phase=InterviewPhase.INTROSPECTION,
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introspection={}
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)
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assert session.session_id == "abc123"
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assert session.study_name == "test_study"
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assert not session.is_complete
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class TestNextAction:
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"""Tests for NextAction dataclass."""
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def test_ask_question_action(self):
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"""Test ask_question action type."""
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from optimization_engine.interview.question_engine import Question
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question = Question(
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id="test",
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category="test",
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text="Test?",
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question_type="text",
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maps_to="test_field"
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)
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action = NextAction(
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action_type="ask_question",
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question=question,
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message="Test question"
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)
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assert action.action_type == "ask_question"
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assert action.question is not None
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def test_show_summary_action(self):
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"""Test show_summary action type."""
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action = NextAction(
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action_type="show_summary",
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message="Summary here"
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)
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assert action.action_type == "show_summary"
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def test_error_action(self):
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"""Test error action type."""
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action = NextAction(
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action_type="error",
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message="Something went wrong"
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)
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assert action.action_type == "error"
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assert "wrong" in action.message
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class TestStudyInterviewEngine:
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"""Tests for StudyInterviewEngine."""
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def test_init(self):
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"""Test engine initialization."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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assert engine.study_path == study_path
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assert engine.state is None
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assert engine.presenter is not None
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def test_start_interview_new(self):
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"""Test starting a new interview."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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session = engine.start_interview("test_study")
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assert session is not None
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assert session.study_name == "test_study"
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assert not session.is_resumed
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assert engine.state is not None
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def test_start_interview_with_introspection(self):
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"""Test starting interview with introspection data."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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introspection = {
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"expressions": ["thickness", "width"],
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"model_path": "/path/model.prt",
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"sim_path": "/path/sim.sim"
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}
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session = engine.start_interview(
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"test_study",
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introspection=introspection
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)
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assert session.introspection == introspection
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# Should skip introspection phase
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assert engine.state.get_phase() == InterviewPhase.PROBLEM_DEFINITION
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def test_start_interview_resume(self):
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"""Test resuming an existing interview."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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# Start first interview
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engine1 = StudyInterviewEngine(study_path)
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session1 = engine1.start_interview("test_study")
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# Make some progress
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engine1.state.answers["study_description"] = "Test"
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engine1.state.set_phase(InterviewPhase.OBJECTIVES)
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engine1.state_manager.save_state(engine1.state)
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# Create new engine and resume
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engine2 = StudyInterviewEngine(study_path)
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session2 = engine2.start_interview("test_study")
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assert session2.is_resumed
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assert engine2.state.get_phase() == InterviewPhase.OBJECTIVES
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def test_get_first_question(self):
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"""Test getting first question."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={"expressions": []})
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action = engine.get_first_question()
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assert action.action_type == "ask_question"
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assert action.question is not None
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assert action.message is not None
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def test_get_first_question_without_start(self):
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"""Test error when getting question without starting."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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action = engine.get_first_question()
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assert action.action_type == "error"
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def test_process_answer(self):
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"""Test processing an answer."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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# Get first question
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action = engine.get_first_question()
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assert action.question is not None
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# Answer it
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next_action = engine.process_answer("This is my test study description")
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# May get next question, show summary, error, or confirm_warning
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assert next_action.action_type in ["ask_question", "show_summary", "error", "confirm_warning"]
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def test_process_answer_invalid(self):
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"""Test processing an invalid answer."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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engine.get_first_question()
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# For a required question, empty answer should fail
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# This depends on question validation rules
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# Just verify we don't crash
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action = engine.process_answer("")
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assert action.action_type in ["error", "ask_question"]
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def test_full_simple_interview_flow(self):
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"""Test complete simple interview flow."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={
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"expressions": [
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{"name": "thickness", "value": 5.0},
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{"name": "width", "value": 10.0}
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],
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"model_path": "/model.prt",
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"sim_path": "/sim.sim"
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})
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# Simulate answering questions
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answers = [
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"Bracket mass optimization", # study description
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"minimize mass", # objective
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"1", # single objective confirm
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"stress, 200 MPa", # constraint
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"thickness, width", # design variables
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"yes", # confirm settings
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]
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action = engine.get_first_question()
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max_iterations = 20
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for i, answer in enumerate(answers):
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if action.action_type == "show_summary":
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break
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if action.action_type == "error":
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# Try to recover
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continue
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action = engine.process_answer(answer)
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if i > max_iterations:
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break
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# Should eventually complete or show summary
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# (exact behavior depends on question flow)
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def test_acknowledge_warnings(self):
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"""Test acknowledging warnings."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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# Add some warnings
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engine.state.add_warning("Test warning 1")
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engine.state.add_warning("Test warning 2")
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action = engine.acknowledge_warnings(acknowledged=True)
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# Warnings should be acknowledged
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assert "Test warning 1" in engine.state.warnings_acknowledged
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assert "Test warning 2" in engine.state.warnings_acknowledged
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def test_acknowledge_warnings_rejected(self):
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"""Test rejecting warnings pauses interview."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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engine.state.add_warning("Test warning")
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action = engine.acknowledge_warnings(acknowledged=False)
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assert action.action_type == "error"
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def test_generate_blueprint(self):
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"""Test blueprint generation."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={
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"model_path": "/model.prt",
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"sim_path": "/sim.sim"
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})
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# Set up minimal answers for blueprint
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engine.state.answers = {
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"study_description": "Test",
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"objectives": [{"goal": "minimize_mass"}],
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"constraints": [{"type": "stress", "threshold": 200}],
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"design_variables": [{"name": "t", "min": 1, "max": 10}],
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}
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blueprint = engine.generate_blueprint()
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assert blueprint is not None
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assert blueprint.study_name == "test_study"
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assert len(blueprint.objectives) == 1
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def test_modify_blueprint(self):
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"""Test blueprint modification."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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# Set up and generate blueprint
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engine.state.answers = {
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"study_description": "Test",
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"objectives": [{"goal": "minimize_mass"}],
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"constraints": [],
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"design_variables": [{"name": "t", "min": 1, "max": 10}],
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}
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engine.generate_blueprint()
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# Modify n_trials
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modified = engine.modify_blueprint({"n_trials": 200})
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assert modified.n_trials == 200
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def test_confirm_blueprint(self):
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"""Test confirming blueprint."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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engine.state.answers = {
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"study_description": "Test",
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"objectives": [{"goal": "minimize_mass"}],
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"constraints": [],
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"design_variables": [{"name": "t", "min": 1, "max": 10}],
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}
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engine.generate_blueprint()
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result = engine.confirm_blueprint()
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assert result is True
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assert engine.state.get_phase() == InterviewPhase.COMPLETE
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def test_get_progress(self):
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"""Test getting progress string."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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progress = engine.get_progress()
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assert isinstance(progress, str)
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assert len(progress) > 0
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def test_reset_interview(self):
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"""Test resetting interview."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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engine.start_interview("test_study", introspection={})
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# Make some progress
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engine.state.answers["test"] = "value"
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engine.reset_interview()
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assert engine.state is None
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assert engine.session is None
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def test_get_current_state(self):
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"""Test getting current state."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = StudyInterviewEngine(study_path)
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assert engine.get_current_state() is None
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engine.start_interview("test_study", introspection={})
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state = engine.get_current_state()
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assert state is not None
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assert state.study_name == "test_study"
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class TestRunInterview:
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"""Tests for run_interview convenience function."""
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def test_run_interview(self):
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"""Test run_interview function."""
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with tempfile.TemporaryDirectory() as tmpdir:
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study_path = Path(tmpdir) / "test_study"
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study_path.mkdir()
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engine = run_interview(
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study_path,
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"test_study",
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introspection={"expressions": []}
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)
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assert engine is not None
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assert engine.state is not None
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assert engine.session is not None
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