Files
cross-eval/tests/test_pipeline_integration.py
chungyeong 204e071b74 feat: ESCALATE verdict, issue tracker, onboarding commands
Add 3-verdict system (PASS/FAIL/ESCALATE) with priority handling across
simple and phased pipelines. Senior reviewers can now escalate issues
requiring human intervention, immediately breaking the review loop.

- ESCALATE verdict extraction with highest priority over PASS/FAIL
- Issue Tracker tables (ISS-NNN) carried across iterations
- Auto-escalate heuristic using (file, keyword) composite fingerprints
- Report restructuring: executive view first (verdict → tracker → metrics)
- Onboarding: `doctor`, `demo`, `init --guided` commands
- Exit codes: PASS=0, FAIL=1, ESCALATE=2
- 87 tests passing (54 config + 25 onboarding + 8 integration)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-13 18:19:05 +09:00

462 lines
17 KiB
Python

"""Integration tests for cross-eval pipeline with mocked agents."""
from __future__ import annotations
import tempfile
import unittest
from pathlib import Path
from unittest.mock import patch
from cross_eval.config import BUILTIN_AGENTS
from cross_eval.models import (
AgentConfig,
AgentResult,
PhaseConfig,
PipelineConfig,
StepConfig,
)
from cross_eval.pipeline import run_pipeline
from cross_eval.prompts import _build_review_fix_preset, _build_simple_preset
def _make_mock_agent(outputs: list[str]):
"""Returns a side_effect function that returns outputs in sequence."""
call_count = [0]
def _mock(agent_config, prompt, step_name, **kwargs):
idx = min(call_count[0], len(outputs) - 1)
call_count[0] += 1
return AgentResult(
output=outputs[idx],
exit_code=0,
agent_name=agent_config.name,
step_name=step_name,
duration_seconds=0.1,
)
return _mock
def _make_step_mock(step_outputs: dict[str, list[str]]):
"""Returns a side_effect that dispatches by step_name, cycling through outputs."""
counters: dict[str, int] = {}
def _mock(agent_config, prompt, step_name, **kwargs):
if step_name not in counters:
counters[step_name] = 0
outputs = step_outputs.get(step_name, [""])
idx = min(counters[step_name], len(outputs) - 1)
counters[step_name] += 1
return AgentResult(
output=outputs[idx],
exit_code=0,
agent_name=agent_config.name,
step_name=step_name,
duration_seconds=0.1,
)
return _mock
def _minimal_simple_config(
run_dir: Path,
max_iterations: int = 3,
seniors: list[str] | None = None,
) -> PipelineConfig:
"""Build a minimal simple pipeline config for testing."""
coders = ["claude-coder"]
reviewers = ["claude-reviewer"]
senior_list = seniors if seniors is not None else []
steps = _build_simple_preset(coders, reviewers, senior_list)
agents = dict(BUILTIN_AGENTS)
return PipelineConfig(
output_dir=run_dir,
max_iterations=max_iterations,
min_iterations=1,
language="en",
inputs={"plan": "Test plan", "checklist": "Test checklist"},
agents=agents,
coders=coders,
reviewers=reviewers,
seniors=senior_list,
pipeline=steps,
preset_name="simple",
)
class TestSimplePipelinePassStopsLoop(unittest.TestCase):
"""Test 1: mock agent returns VERDICT: PASS on first review -> stops at iteration 1."""
def test_simple_pipeline_pass_stops_loop(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
config = _minimal_simple_config(Path(tmpdir))
mock = _make_mock_agent([
"Coding output here", # coding step
"All good\n\nVERDICT: PASS", # review step
])
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "PASS")
self.assertEqual(len(result.iterations), 1)
class TestSimplePipelineFailThenPass(unittest.TestCase):
"""Test 2: FAIL on first review, PASS on second -> 2 iterations."""
def test_simple_pipeline_fail_then_pass(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
config = _minimal_simple_config(Path(tmpdir), max_iterations=5)
mock = _make_step_mock({
"coding": ["Coding output v1", "Coding output v2"],
"review": [
"Issues found\n\nVERDICT: FAIL",
"All good\n\nVERDICT: PASS",
],
})
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "PASS")
self.assertEqual(len(result.iterations), 2)
class TestSimplePipelineEscalateBreaksLoop(unittest.TestCase):
"""Test 3: ESCALATE on review -> stops immediately, final_verdict=ESCALATE."""
def test_simple_pipeline_escalate_breaks_loop(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
config = _minimal_simple_config(
Path(tmpdir), max_iterations=5, seniors=["claude-senior"],
)
escalate_output = (
"### Confirmed Issues\n"
"- [Critical] Requirements are ambiguous\n\n"
"### Escalated Issues\n"
"Requirements need stakeholder clarification\n\n"
"### Verdict\n"
"VERDICT: ESCALATE\n"
)
mock = _make_step_mock({
"coding": ["Coding output"],
"review": ["Issues found\n\nVERDICT: FAIL"],
"senior_review": [escalate_output],
})
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "ESCALATE")
self.assertEqual(len(result.iterations), 1)
self.assertTrue(len(result.escalated_issues) > 0)
class TestSimplePipelineEscalatePriorityOverPass(unittest.TestCase):
"""Test 4: one verdict step returns PASS, another returns ESCALATE -> ESCALATE wins."""
def test_simple_pipeline_escalate_priority_over_pass(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
# Build a custom pipeline with 2 verdict steps (no senior)
steps = [
StepConfig(
name="coding",
agent="claude-coder",
role="coding",
prompt_template="default:coding",
output_key="coding_output",
),
StepConfig(
name="review_a",
agent="claude-reviewer",
role="review",
prompt_template="default:review",
output_key="review_a_result",
verdict=True,
),
StepConfig(
name="review_b",
agent="claude-reviewer",
role="review",
prompt_template="default:review",
output_key="review_b_result",
verdict=True,
),
]
config = PipelineConfig(
output_dir=Path(tmpdir),
max_iterations=3,
min_iterations=1,
language="en",
inputs={"plan": "Test plan", "checklist": "Test checklist"},
agents=dict(BUILTIN_AGENTS),
coders=["claude-coder"],
reviewers=["claude-reviewer"],
pipeline=steps,
preset_name="custom",
)
escalate_output = (
"### Escalated Issues\n"
"Ambiguous requirements need clarification\n\n"
"VERDICT: ESCALATE\n"
)
mock = _make_step_mock({
"coding": ["Coding output"],
"review_a": ["All good\n\nVERDICT: PASS"],
"review_b": [escalate_output],
})
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "ESCALATE")
self.assertTrue(len(result.escalated_issues) > 0)
class TestPhasedPipelineEscalateBreaksPhase(unittest.TestCase):
"""Test 5: phased pipeline (review-fix), verify step returns ESCALATE -> phase stops."""
def test_phased_pipeline_escalate_breaks_phase(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
coders = ["claude-coder"]
reviewers = ["claude-reviewer"]
seniors = ["claude-senior"]
phases = _build_review_fix_preset(coders, reviewers, seniors)
config = PipelineConfig(
output_dir=Path(tmpdir),
max_iterations=5,
min_iterations=1,
language="en",
inputs={"plan": "Test plan", "checklist": "Test checklist"},
agents=dict(BUILTIN_AGENTS),
coders=coders,
reviewers=reviewers,
seniors=seniors,
phases=phases,
preset_name="review-fix",
)
escalate_output = (
"### Escalated Issues\n"
"Architecture decisions needed beyond plan scope\n\n"
"### Verdict\n"
"VERDICT: ESCALATE\n"
)
mock = _make_step_mock({
"review_claude_reviewer": ["Review findings here"],
"aggregate_review": ["Aggregated review\n\nAction items: fix X"],
"coding": ["Fixed code"],
"verify": [escalate_output],
})
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "ESCALATE")
self.assertTrue(len(result.escalated_issues) > 0)
class TestAutoEscalateFiresWithoutSenior(unittest.TestCase):
"""Test 6: simple pipeline without senior, same FAIL feedback 3 times -> auto-escalate."""
def test_auto_escalate_fires_without_senior(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
# No seniors -> review step has verdict=True
config = _minimal_simple_config(
Path(tmpdir), max_iterations=5, seniors=None,
)
# Same feedback mentioning the same file paths across all iterations
repeated_fail = (
"Issues found in src/auth.py: missing validation check.\n"
"The file src/auth.py still has the same problem.\n\n"
"VERDICT: FAIL"
)
mock = _make_step_mock({
"coding": ["Coding output v1", "Coding output v2", "Coding output v3"],
"review": [repeated_fail, repeated_fail, repeated_fail],
})
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "ESCALATE")
self.assertTrue(
any("Auto-escalated" in iss for iss in result.escalated_issues),
)
class TestAutoEscalateDoesNotFireWithSenior(unittest.TestCase):
"""Test 7: same repeated FAIL but WITH senior/aggregate step -> no auto-escalate."""
def test_auto_escalate_does_not_fire_with_senior(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
# With seniors -> senior_review step has verdict=True, review does not
config = _minimal_simple_config(
Path(tmpdir), max_iterations=5, seniors=["claude-senior"],
)
repeated_fail_review = (
"Issues found in src/auth.py: missing validation check.\n"
"VERDICT: FAIL"
)
# Senior also returns FAIL but the auto-escalate should NOT fire
# because has_aggregator is True (seniors list is populated)
senior_fail = (
"### Confirmed Issues\n"
"- Missing validation in src/auth.py\n\n"
"### Action Items\n"
"1. Add validation in src/auth.py\n\n"
"VERDICT: FAIL"
)
mock = _make_step_mock({
"coding": [
"Coding output v1",
"Coding output v2",
"Coding output v3",
"Coding output v4",
"Coding output v5",
],
"review": [
repeated_fail_review,
repeated_fail_review,
repeated_fail_review,
repeated_fail_review,
repeated_fail_review,
],
"senior_review": [
senior_fail,
senior_fail,
senior_fail,
senior_fail,
senior_fail,
],
})
with patch("cross_eval.pipeline.invoke_agent", side_effect=mock):
result = run_pipeline(config)
# Should NOT auto-escalate; should reach max iterations
self.assertNotEqual(result.final_verdict, "ESCALATE")
self.assertEqual(result.final_verdict, "MAX_ITERATIONS_REACHED")
self.assertEqual(len(result.iterations), 5)
class TestTrackerExtractionAcrossIterations(unittest.TestCase):
"""Test 8: senior review output with Issue Tracker table -> passed to next iteration."""
def test_tracker_extraction_across_iterations(self) -> None:
with tempfile.TemporaryDirectory() as tmpdir:
config = _minimal_simple_config(
Path(tmpdir), max_iterations=3, seniors=["claude-senior"],
)
tracker_table = (
"## Issue Tracker\n"
"| ISS-ID | Severity | Description | Status | Since |\n"
"|--------|----------|-------------|--------|-------|\n"
"| ISS-001 | Critical | Missing auth check | Open | v1 |\n"
"| ISS-002 | Major | No validation | Open | v1 |\n"
)
senior_output_v1 = (
"### Confirmed Issues\n"
"- Missing auth\n\n"
f"{tracker_table}\n"
"### Verdict\n"
"VERDICT: FAIL"
)
senior_output_v2 = (
"### Confirmed Issues\n"
"- None remaining\n\n"
"## Issue Tracker\n"
"| ISS-ID | Severity | Description | Status | Since |\n"
"|--------|----------|-------------|--------|-------|\n"
"| ISS-001 | Critical | Missing auth check | Fixed | v1 |\n"
"| ISS-002 | Major | No validation | Fixed | v1 |\n"
"\n### Verdict\n"
"VERDICT: PASS"
)
captured_prompts: list[dict[str, str]] = []
def _tracking_mock(agent_config, prompt, step_name, **kwargs):
captured_prompts.append({
"step_name": step_name,
"prompt": prompt,
"agent_name": agent_config.name,
})
if step_name == "coding":
return AgentResult(
output="Coding output",
exit_code=0,
agent_name=agent_config.name,
step_name=step_name,
duration_seconds=0.1,
)
elif step_name == "review":
return AgentResult(
output="Review findings\n\nVERDICT: FAIL",
exit_code=0,
agent_name=agent_config.name,
step_name=step_name,
duration_seconds=0.1,
)
elif step_name == "senior_review":
# First call: FAIL with tracker, second call: PASS
senior_calls = [
p for p in captured_prompts if p["step_name"] == "senior_review"
]
if len(senior_calls) <= 1:
output = senior_output_v1
else:
output = senior_output_v2
return AgentResult(
output=output,
exit_code=0,
agent_name=agent_config.name,
step_name=step_name,
duration_seconds=0.1,
)
return AgentResult(
output="",
exit_code=0,
agent_name=agent_config.name,
step_name=step_name,
duration_seconds=0.1,
)
with patch("cross_eval.pipeline.invoke_agent", side_effect=_tracking_mock):
result = run_pipeline(config)
self.assertEqual(result.final_verdict, "PASS")
self.assertEqual(len(result.iterations), 2)
# Verify that the second iteration's senior_review prompt contains
# the tracker table from iteration 1
iter2_senior_prompts = [
p for p in captured_prompts
if p["step_name"] == "senior_review"
and "ISS-001" in p["prompt"]
and "Missing auth check" in p["prompt"]
]
# The second senior_review call should have the tracker in its prompt
self.assertTrue(
len(iter2_senior_prompts) >= 1,
"Expected previous_senior_tracker content (ISS-001) to appear "
"in at least one senior_review prompt",
)
if __name__ == "__main__":
unittest.main()