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