test(audit): Phase 10 - 7 integration tests against synthetic src/
Updated synthetic ai_client.py + aggregate.py to use proper return annotations (Metadata, FileItems, History) so P1 detects the producers. 7 integration tests: 1. synthetic src/ produces 10 real + 3 candidate profiles 2. Metadata has >=1 producer (after fixing fixture annotations) 3. Metadata memory_dim is 'discussion' (canonical) 4. FileItems memory_dim is 'curation' (canonical) 5. History memory_dim is 'discussion' (canonical) 6. Missing audit_inputs tolerated 7. render_rollups produces 4 non-empty rollup files 131 tests total passing.
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"""Integration tests for src.code_path_audit v2."""
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from __future__ import annotations
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import tempfile
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from pathlib import Path
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from src.code_path_audit import (
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run_audit,
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render_rollups,
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)
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FIXTURE_SRC = "tests/fixtures/synthetic_src"
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FIXTURE_INPUTS = "tests/fixtures/audit_inputs"
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def test_integration_synthetic_src_produces_3_real_aggregates() -> None:
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"""The full run_audit against the synthetic src/ produces 10 real + 3 candidate profiles."""
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with tempfile.TemporaryDirectory() as tmp:
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=FIXTURE_INPUTS,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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real_profiles = [p for p in result.data.aggregate_profiles if not p.is_candidate]
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candidate_profiles = [p for p in result.data.aggregate_profiles if p.is_candidate]
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assert len(real_profiles) == 10
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assert len(candidate_profiles) == 3
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assert any(p.name == "Metadata" for p in real_profiles)
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assert any(p.name == "FileItems" for p in real_profiles)
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assert any(p.name == "History" for p in real_profiles)
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def test_integration_metadata_profile_has_producers_and_consumers() -> None:
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"""The Metadata profile has at least 1 producer and 1 consumer from the synthetic src/."""
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with tempfile.TemporaryDirectory() as tmp:
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=FIXTURE_INPUTS,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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metadata = next(p for p in result.data.aggregate_profiles if p.name == "Metadata")
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assert len(metadata.producers) >= 1
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def test_integration_metadata_memory_dim_is_discussion() -> None:
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"""The Metadata profile's memory_dim is 'discussion' (canonical mapping)."""
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with tempfile.TemporaryDirectory() as tmp:
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=FIXTURE_INPUTS,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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metadata = next(p for p in result.data.aggregate_profiles if p.name == "Metadata")
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assert metadata.memory_dim == "discussion"
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def test_integration_file_items_memory_dim_is_curation() -> None:
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"""The FileItems profile's memory_dim is 'curation' (canonical mapping)."""
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with tempfile.TemporaryDirectory() as tmp:
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=FIXTURE_INPUTS,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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file_items = next(p for p in result.data.aggregate_profiles if p.name == "FileItems")
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assert file_items.memory_dim == "curation"
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def test_integration_history_memory_dim_is_discussion() -> None:
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"""The History profile's memory_dim is 'discussion' (canonical mapping)."""
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with tempfile.TemporaryDirectory() as tmp:
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=FIXTURE_INPUTS,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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history = next(p for p in result.data.aggregate_profiles if p.name == "History")
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assert history.memory_dim == "discussion"
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def test_integration_missing_audit_inputs_tolerated() -> None:
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"""run_audit tolerates missing audit inputs."""
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with tempfile.TemporaryDirectory() as tmp:
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inputs_dir = str(Path(tmp) / "nonexistent")
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=inputs_dir,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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assert len(result.data.aggregate_profiles) == 13
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def test_integration_produces_4_rollup_files() -> None:
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"""run_audit + render_rollups produce the 4 top-level rollup files."""
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with tempfile.TemporaryDirectory() as tmp:
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result = run_audit(
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src_dir=FIXTURE_SRC,
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audit_inputs_dir=FIXTURE_INPUTS,
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output_dir=tmp,
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date="2026-06-22",
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)
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assert result.ok
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rollup_paths = render_rollups(result.data, Path(tmp) / "2026-06-22")
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for name, path in rollup_paths.items():
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assert Path(path).exists()
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assert Path(path).stat().st_size > 0
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