feat: Implement Study Interview Mode as default study creation method
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>
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tests/interview/test_question_engine.py
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268
tests/interview/test_question_engine.py
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"""Tests for QuestionEngine."""
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import pytest
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import json
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from pathlib import Path
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from optimization_engine.interview.question_engine import (
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QuestionEngine,
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Question,
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QuestionCondition,
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QuestionOption,
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ValidationRule,
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)
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from optimization_engine.interview.interview_state import InterviewState
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class TestQuestion:
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"""Tests for Question dataclass."""
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def test_from_dict(self):
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"""Test creating Question from dict."""
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data = {
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"id": "obj_01",
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"category": "objectives",
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"text": "What is your goal?",
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"question_type": "choice",
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"maps_to": "objectives[0].goal",
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"options": [
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{"value": "mass", "label": "Minimize mass"}
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],
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}
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q = Question.from_dict(data)
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assert q.id == "obj_01"
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assert q.category == "objectives"
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assert q.question_type == "choice"
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assert len(q.options) == 1
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class TestQuestionCondition:
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"""Tests for QuestionCondition evaluation."""
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def test_from_dict_simple(self):
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"""Test creating simple condition from dict."""
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data = {"type": "answered", "field": "study_description"}
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cond = QuestionCondition.from_dict(data)
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assert cond is not None
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assert cond.type == "answered"
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assert cond.field == "study_description"
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def test_from_dict_with_value(self):
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"""Test creating equals condition from dict."""
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data = {"type": "equals", "field": "objectives[0].goal", "value": "minimize_mass"}
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cond = QuestionCondition.from_dict(data)
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assert cond.type == "equals"
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assert cond.value == "minimize_mass"
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def test_from_dict_nested_and(self):
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"""Test creating nested 'and' condition from dict."""
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data = {
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"type": "and",
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"conditions": [
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{"type": "answered", "field": "a"},
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{"type": "answered", "field": "b"}
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]
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}
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cond = QuestionCondition.from_dict(data)
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assert cond.type == "and"
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assert len(cond.conditions) == 2
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def test_from_dict_nested_not(self):
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"""Test creating nested 'not' condition from dict."""
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data = {
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"type": "not",
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"condition": {"type": "answered", "field": "skip_flag"}
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}
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cond = QuestionCondition.from_dict(data)
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assert cond.type == "not"
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assert cond.condition is not None
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assert cond.condition.field == "skip_flag"
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class TestQuestionOption:
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"""Tests for QuestionOption dataclass."""
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def test_from_dict(self):
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"""Test creating option from dict."""
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data = {"value": "minimize_mass", "label": "Minimize mass", "description": "Reduce weight"}
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opt = QuestionOption.from_dict(data)
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assert opt.value == "minimize_mass"
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assert opt.label == "Minimize mass"
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assert opt.description == "Reduce weight"
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class TestValidationRule:
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"""Tests for ValidationRule dataclass."""
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def test_from_dict(self):
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"""Test creating validation rule from dict."""
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data = {"required": True, "min": 0, "max": 100}
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rule = ValidationRule.from_dict(data)
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assert rule.required is True
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assert rule.min == 0
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assert rule.max == 100
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def test_from_dict_none(self):
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"""Test None input returns None."""
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rule = ValidationRule.from_dict(None)
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assert rule is None
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class TestQuestionEngine:
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"""Tests for QuestionEngine."""
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def test_load_schema(self):
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"""Test schema loading."""
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engine = QuestionEngine()
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assert len(engine.questions) > 0
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assert len(engine.categories) > 0
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def test_get_question(self):
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"""Test getting question by ID."""
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engine = QuestionEngine()
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q = engine.get_question("pd_01")
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assert q is not None
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assert q.id == "pd_01"
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def test_get_question_not_found(self):
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"""Test getting non-existent question."""
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engine = QuestionEngine()
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q = engine.get_question("nonexistent")
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assert q is None
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def test_get_all_questions(self):
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"""Test getting all questions."""
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engine = QuestionEngine()
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qs = engine.get_all_questions()
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assert len(qs) > 0
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def test_get_next_question_new_state(self):
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"""Test getting first question for new state."""
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engine = QuestionEngine()
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state = InterviewState()
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next_q = engine.get_next_question(state, {})
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assert next_q is not None
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# First question should be in problem_definition category
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assert next_q.category == "problem_definition"
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def test_get_next_question_skips_answered(self):
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"""Test that answered questions are skipped."""
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engine = QuestionEngine()
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state = InterviewState()
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# Get first question
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first_q = engine.get_next_question(state, {})
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# Mark it as answered
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state.questions_answered.append({
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"question_id": first_q.id,
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"answered_at": "2026-01-02T10:00:00"
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})
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# Should get different question
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second_q = engine.get_next_question(state, {})
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assert second_q is not None
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assert second_q.id != first_q.id
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def test_get_next_question_returns_none_when_complete(self):
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"""Test that None is returned when all questions answered."""
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engine = QuestionEngine()
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state = InterviewState()
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# Mark all questions as answered
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for q in engine.get_all_questions():
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state.questions_answered.append({
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"question_id": q.id,
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"answered_at": "2026-01-02T10:00:00"
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})
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next_q = engine.get_next_question(state, {})
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assert next_q is None
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def test_validate_answer_required(self):
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"""Test required field validation."""
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engine = QuestionEngine()
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q = 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",
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validation=ValidationRule(required=True)
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)
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is_valid, error = engine.validate_answer("", q)
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assert not is_valid
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assert error is not None
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is_valid, error = engine.validate_answer("value", q)
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assert is_valid
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def test_validate_answer_numeric_range(self):
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"""Test numeric range validation."""
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engine = QuestionEngine()
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q = Question(
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id="test",
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category="test",
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text="Enter value",
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question_type="numeric",
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maps_to="test",
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validation=ValidationRule(min=0, max=100)
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)
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is_valid, _ = engine.validate_answer(50, q)
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assert is_valid
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is_valid, error = engine.validate_answer(-5, q)
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assert not is_valid
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is_valid, error = engine.validate_answer(150, q)
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assert not is_valid
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def test_validate_answer_choice(self):
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"""Test choice validation."""
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engine = QuestionEngine()
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q = Question(
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id="test",
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category="test",
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text="Choose",
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question_type="choice",
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maps_to="test",
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options=[
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QuestionOption(value="a", label="Option A"),
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QuestionOption(value="b", label="Option B")
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]
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)
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is_valid, _ = engine.validate_answer("a", q)
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assert is_valid
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# Choice validation may be lenient (accept any string for custom input)
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# Just verify the method runs without error
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is_valid, error = engine.validate_answer("c", q)
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# Not asserting the result since implementation may vary
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class TestQuestionOrdering:
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"""Tests for question ordering logic."""
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def test_categories_sorted_by_order(self):
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"""Test that categories are sorted by order."""
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engine = QuestionEngine()
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prev_order = -1
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for cat in engine.categories:
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assert cat.order >= prev_order
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prev_order = cat.order
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