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manual_slop/tests/test_code_path_audit_phase89.py
T
ed 0b79798eaf feat(audit): MVP output - AUDIT_REPORT.md only, move stale to _stale/
MVP pipeline simplification:
- render_rollups() now produces ONLY summary.md + AUDIT_REPORT.md
- run_audit() now produces only per-aggregate .md (no .dsl/.tree)
- New src/code_path_audit_gen.py generates the single coherent report

Stale artifacts moved to _stale/ subdirectory (preserved for history):
- 13 per-aggregate .dsl files (redundant with .md)
- 13 per-aggregate .tree files (redundant with .md)
- 9 old top-level rollups (cross_audit_summary, decomposition_matrix,
  candidates, field_usage, call_graph, hot_paths, dead_fields,
  ssdl_analysis, organization_deductions - all superseded by sections
  inlined in AUDIT_REPORT.md)
- _stale/README.md explains what happened

Meta-audit updated to check .md files (14 required H2 sections per
aggregate) instead of .dsl files. 0 violations on 10 real profiles.

Tests: 131 passing. New MVP report: 5000+ lines.
2026-06-22 13:34:29 -04:00

177 lines
6.1 KiB
Python

"""Tests for src.code_path_audit v2 - DSL renderers + run_audit + CLI + MCP."""
from __future__ import annotations
import ast
import tempfile
from pathlib import Path
import subprocess
import sys
from datetime import date
from src.code_path_audit import (
AggregateKind,
MemoryDim,
AccessPattern,
Frequency,
RecommendedDirection,
FunctionRef,
AccessPatternEvidence,
FrequencyEvidence,
ResultCoverage,
TypeAliasCoverage,
CrossAuditFindings,
DecompositionCost,
OptimizationCandidate,
AggregateProfile,
to_dsl_v2,
to_markdown,
to_tree,
parse_dsl_v2,
AGGREGATES_IN_SCOPE,
CANDIDATE_AGGREGATES,
synthesize_aggregate_profile,
run_audit,
render_rollups,
AuditSummary,
code_path_audit_v2,
)
from src.result_types import Result
def _make_profile(name: str = "Metadata", kind: str = "typealias") -> AggregateProfile:
f = FunctionRef(fqname="src.x.y", file="src/x.py", line=1, role="producer")
return AggregateProfile(
name=name,
aggregate_kind=kind,
memory_dim="discussion",
producers=(f,),
consumers=(),
access_pattern="whole_struct",
access_pattern_evidence=(),
frequency="per_turn",
frequency_evidence=(),
result_coverage=ResultCoverage(0, 0, 0, 0, ""),
type_alias_coverage=TypeAliasCoverage(0, 0, 0, ""),
cross_audit_findings=CrossAuditFindings((), (), (), (), ()),
decomposition_cost=DecompositionCost(0, 0, 0, "hold", "no data", None, 0, False),
optimization_candidates=(),
is_candidate=False,
)
# Phase 8 Tasks 8.2-8.5 tests
def test_to_dsl_v2_includes_aggregate_kind_section() -> None:
"""to_dsl_v2 emits the \\ === aggregate_kind === section."""
profile = _make_profile()
dsl = to_dsl_v2(profile, generated_date="2026-06-22")
assert "\\ === aggregate_kind ===" in dsl
assert '"typealias" kind' in dsl
assert "\\ === memory_dim ===" in dsl
assert '"discussion" mem-dim' in dsl
def test_to_markdown_10_sections() -> None:
"""to_markdown emits the 10 sections per spec section 8.1."""
profile = _make_profile()
md = to_markdown(profile)
assert "# Aggregate Profile: Metadata" in md
assert "## Pipeline summary" in md
assert "## Access pattern" in md
assert "## Frequency" in md
assert "## Result coverage" in md
assert "## Type alias coverage" in md
assert "## Cross-audit findings" in md
assert "## Decomposition cost" in md
assert "## Optimization candidates" in md
assert "## Verdict" in md
def test_to_tree_box_drawing() -> None:
"""to_tree uses box-drawing characters."""
profile = _make_profile()
tree = to_tree(profile)
assert "Metadata" in tree
assert "kind: typealias" in tree
def test_parse_dsl_v2_round_trip_aggregate_kind() -> None:
"""parse_dsl_v2(to_dsl_v2(profile)) recovers the aggregate_kind section."""
profile = _make_profile()
dsl = to_dsl_v2(profile)
parsed = parse_dsl_v2(dsl)
assert isinstance(parsed, Result)
assert "typealias" in str(parsed.data)
def test_parse_dsl_v2_malformed() -> None:
"""parse_dsl_v2 returns Result.ok for empty input (no tagged words)."""
result = parse_dsl_v2("\\ empty comment only\n")
assert result.ok
assert result.data == {"_sections": []}
# Phase 9 Tasks 9.1-9.6 tests
def test_aggregates_in_scope_10_real() -> None:
"""AGGREGATES_IN_SCOPE has 10 real aggregates."""
expected = {"Metadata", "FileItem", "FileItems", "CommsLogEntry", "CommsLog", "HistoryMessage", "History", "ToolDefinition", "ToolCall", "Result"}
assert set(AGGREGATES_IN_SCOPE) == expected
def test_candidate_aggregates_3_placeholders() -> None:
"""CANDIDATE_AGGREGATES has the 3 candidate aggregates."""
expected = {"ToolSpec", "ChatMessage", "ProviderHistory"}
assert set(CANDIDATE_AGGREGATES) == expected
def test_synthesize_real_aggregate() -> None:
"""synthesize_aggregate_profile returns a real AggregateProfile for a known aggregate."""
f = FunctionRef(fqname="src.x.y", file="src/x.py", line=1, role="producer")
profile = synthesize_aggregate_profile(
aggregate="Metadata",
pcg_producers={"Metadata": [f]},
pcg_consumers={"Metadata": [f]},
audit_inputs={},
overrides={},
is_candidate=False,
)
assert profile.name == "Metadata"
assert profile.aggregate_kind == "typealias"
assert profile.memory_dim == "discussion"
assert profile.is_candidate is False
def test_synthesize_candidate_aggregate() -> None:
"""synthesize_aggregate_profile returns a candidate placeholder for an unknown aggregate."""
profile = synthesize_aggregate_profile(
aggregate="ChatMessage",
pcg_producers={"ChatMessage": []},
pcg_consumers={"ChatMessage": []},
audit_inputs={},
overrides={},
is_candidate=True,
)
assert profile.name == "ChatMessage"
assert profile.aggregate_kind == "candidate_dataclass"
assert profile.is_candidate is True
assert profile.producers == ()
assert profile.consumers == ()
def test_run_audit_returns_result() -> None:
"""run_audit returns Result[AuditSummary] per error_handling.md."""
with tempfile.TemporaryDirectory() as tmp:
result = run_audit(src_dir=tmp, audit_inputs_dir=tmp, output_dir=tmp, date="2026-06-22")
assert isinstance(result, Result)
assert result.ok
def test_run_audit_produces_13_aggregates() -> None:
"""run_audit produces 13 AggregateProfiles (10 in-scope + 3 candidate)."""
with tempfile.TemporaryDirectory() as tmp:
result = run_audit(src_dir=tmp, audit_inputs_dir=tmp, output_dir=tmp, date="2026-06-22")
assert result.ok
assert len(result.data.aggregate_profiles) == 13
def test_render_rollups_produces_2_files() -> None:
"""render_rollups produces summary.md + AUDIT_REPORT.md (MVP: single comprehensive document)."""
with tempfile.TemporaryDirectory() as tmp:
audit_result = run_audit(src_dir=tmp, audit_inputs_dir=tmp, output_dir=tmp, date="2026-06-22")
assert audit_result.ok
rollup_paths = render_rollups(audit_result.data, Path(tmp) / "2026-06-22")
assert "summary.md" in rollup_paths
assert "AUDIT_REPORT.md" in rollup_paths
def test_code_path_audit_v2_returns_dict() -> None:
"""code_path_audit_v2 returns a dict with 'profiles' + 'errors' keys (MCP tool contract)."""
with tempfile.TemporaryDirectory() as tmp:
result = code_path_audit_v2(src_dir=tmp, audit_inputs_dir=tmp, output_dir=tmp, date="2026-06-22")
assert isinstance(result, dict)
assert "profiles" in result
assert "errors" in result
assert len(result["profiles"]) == 13