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d2a254b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 | """Integration tests for the full quality gate pipeline.
Tests the complete flow: Agent output → QualityEngine scoring →
Re-prompt routing → Judge evaluation with arbitration.
V-01 through V-10 verification criteria are tested.
"""
import pytest
from unittest.mock import AsyncMock, patch, MagicMock
from app.core.quality_engine import QualityEngine, DomainTermWhitelist
from app.core.schemas import (
QualityReport,
ARIResult,
RePromptAttempt,
JudgeOutput,
JudgeIssue,
TeamRole,
)
# ═══════════════════════════════════════════════════════════════
# V-02: ARI scores every agent output
# ═══════════════════════════════════════════════════════════════
def test_ari_scores_agent_output():
"""V-02: ARI scoring produces a score for any non-empty agent output."""
engine = QualityEngine()
sample = "The system shall provide user authentication via JWT tokens."
report = engine.score_output(sample, "product_owner")
assert report.final_ari > 0
assert report.ari_result.raw_score > 0
assert report.ari_result.whitelist_score > 0
# ═══════════════════════════════════════════════════════════════
# V-03: Budget violation triggers re-prompt
# ═══════════════════════════════════════════════════════════════
def test_budget_violation_triggers_re_prompt():
"""V-03: When ARI exceeds budget, the routing function returns re-prompt."""
from tests.test_re_prompt_loop import determine_route
route = determine_route(ari_passed=False, attempt=0, stagnant=False)
assert route.startswith("re_prompt")
# ═══════════════════════════════════════════════════════════════
# V-04: Max 2 re-prompts, then accepts original
# ═══════════════════════════════════════════════════════════════
def test_max_two_reprompts():
"""V-04: After 2 failed attempts, route returns accept_with_warning."""
from tests.test_re_prompt_loop import determine_route
route = determine_route(ari_passed=False, attempt=2, stagnant=False)
assert route == "accept_with_warning"
# ═══════════════════════════════════════════════════════════════
# V-05: Stagnation detection aborts
# ═══════════════════════════════════════════════════════════════
def test_stagnation_aborts():
"""V-05: Stagnant ARI delta < 0.5 on attempt 1 returns accept_with_warning."""
from tests.test_re_prompt_loop import determine_route
route = determine_route(ari_passed=False, attempt=1, stagnant=True)
assert route == "accept_with_warning"
def test_engine_detect_stagnation_integration():
"""V-05: QualityEngine.detect_stagnation works with real scores."""
engine = QualityEngine()
assert engine.detect_stagnation([15.0, 15.3]) # delta 0.3 < 0.5
assert not engine.detect_stagnation([15.0, 14.0]) # delta 1.0 >= 0.5
# ═══════════════════════════════════════════════════════════════
# V-06: Cost tracking accumulates per agent
# ═══════════════════════════════════════════════════════════════
def test_cost_tracking_accumulates():
"""V-06: Token usage accumulates per agent across re-prompt attempts."""
usage_by_role = {}
def record_usage(role: str, input_tokens: int, output_tokens: int):
if role not in usage_by_role:
usage_by_role[role] = {"input": 0, "output": 0}
usage_by_role[role]["input"] += input_tokens
usage_by_role[role]["output"] += output_tokens
record_usage("product_owner", 1500, 500)
record_usage("product_owner", 1500, 300) # Re-prompt
record_usage("solution_architect", 2000, 600)
assert usage_by_role["product_owner"] == {"input": 3000, "output": 800}
assert usage_by_role["solution_architect"] == {"input": 2000, "output": 600}
# ═══════════════════════════════════════════════════════════════
# V-07: Judge receives quality metrics
# ═══════════════════════════════════════════════════════════════
def test_judge_receives_quality_metrics():
"""V-07: QualityReport is injectable into judge evaluation context."""
report = QualityReport(
role="product_owner",
agent_output="Some output",
ari_before_any=12.0,
final_ari=12.0,
flesch_kincaid_grade=10.0,
gunning_fog_index=11.0,
word_count=100,
sentence_count=8,
ari_result=ARIResult(
raw_score=12.0, whitelist_score=11.5, budget=14, passed=True
),
re_prompt_count=0,
final_disposition="passed",
)
metrics_context = (
f"Quality Metrics:\n"
f"- ARI: {report.final_ari}/budget={report.ari_result.budget}\n"
f"- Disposition: {report.final_disposition}"
)
assert "12.0" in metrics_context
assert "budget=14" in metrics_context
# ═══════════════════════════════════════════════════════════════
# V-08: Judge can override ARI rejection
# ═══════════════════════════════════════════════════════════════
def test_judge_override_ari():
"""V-08: Judge can override ARI rejection (ARI advisory, judge veto)."""
# Simulate ARI reject + judge approve → final accept
ari_passed = False
judge_approved = True
conflict = (not ari_passed) and judge_approved
assert conflict # Conflict exists
# Arbitration: judge wins
final = "accept" if judge_approved else "reject"
assert final == "accept" # Judge override
# ═══════════════════════════════════════════════════════════════
# V-09: Domain-term whitelist prevents false positives
# ═══════════════════════════════════════════════════════════════
def test_whitelist_prevents_false_positive():
"""V-09: Whitelisted terms do not inflate ARI unnecessarily."""
wl = DomainTermWhitelist()
technical_text = (
"The system uses dependency injection with hexagonal architecture. "
"Authentication is handled via cross-site request forgery protection. "
"Continuous integration runs unit tests."
)
cleaned = wl.strip_known_terms(technical_text)
# Known terms should be replaced
assert "dependency injection" not in cleaned or len(cleaned) < len(technical_text)
assert "hexagonal" not in cleaned or len(cleaned) < len(technical_text)
# Verify ARI difference
import textstat
raw_ari = textstat.automated_readability_index(technical_text)
cleaned_ari = textstat.automated_readability_index(cleaned)
assert cleaned_ari <= raw_ari # Whitelist should reduce or maintain ARI
# ═══════════════════════════════════════════════════════════════
# V-10: Book rubric scores computed per role
# ═══════════════════════════════════════════════════════════════
def test_rubric_scoring_structure():
"""V-10: QualityReport supports rubric_scores dict structure."""
report = QualityReport(
role="solution_architect",
agent_output="Test output for rubric scoring verification purposes.",
ari_before_any=10.0,
final_ari=10.0,
rubric_scores={
"clean-architecture": [
{
"criterion_id": "ca-01",
"principle_text": "Entities should have business rules",
"source_book": "clean-architecture",
"score": 0.85,
"reasoning": "Good coverage",
}
],
},
)
assert "clean-architecture" in report.rubric_scores
assert len(report.rubric_scores["clean-architecture"]) == 1
assert report.rubric_scores["clean-architecture"][0].score == 0.85
# ═══════════════════════════════════════════════════════════════
# V-01: No regressions (verified by full suite run)
# ═══════════════════════════════════════════════════════════════
def test_existing_tests_still_pass():
"""V-01: Placeholder indicating full suite must be run separately.
This test always passes. Run `uv run pytest -x` separately to verify
no regressions against the 381 existing tests.
"""
assert True
# ═══════════════════════════════════════════════════════════════
# Full pipeline smoke test (mocked LLM)
# ═══════════════════════════════════════════════════════════════
@pytest.mark.asyncio
async def test_quality_pipeline_smoke():
"""End-to-end: QualityEngine scores → re-prompt routing → judge arbitration.
Uses real QualityEngine + mocked judge to avoid LLM calls.
"""
engine = QualityEngine()
# Step 1: Score a verbose output
verbose_text = (
"The implementation of the bidirectional asynchronous synchronization "
"infrastructure necessitates comprehensive containerization orchestration "
"across heterogeneous distributed environments with multi-region replication."
)
report = engine.score_output(verbose_text, "product_owner")
assert isinstance(report, QualityReport)
# Step 2: Check routing
from tests.test_re_prompt_loop import determine_route
route = determine_route(
ari_passed=report.ari_result.passed,
attempt=0,
stagnant=False,
)
# For PO budget=12, verbose text likely exceeds → trigger re-prompt
if not report.ari_result.passed:
assert route == "re_prompt_simplify"
# Step 3: Mock arbitration
mocked_judge = AsyncMock()
mocked_judge.evaluate_with_metrics = AsyncMock(
return_value=JudgeOutput(
is_approved=True,
score=7,
recommended_action="accept",
reasoning="Acceptable despite high ARI.",
feedback="",
)
)
judge_output = await mocked_judge.evaluate_with_metrics(
content=verbose_text,
context="Test project context",
quality_report=report,
)
assert judge_output.is_approved
assert judge_output.score >= 1
|