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6 Commits

Author SHA1 Message Date
ed 59eeee819e feat(audit): enriched markdown renderer - 15 sections per profile + 2 new rollups
render_full_markdown in src/code_path_audit_render.py produces
detailed per-profile markdown:
- Producers detail (grouped by file)
- Consumers detail (grouped by file)
- Field access matrix (every field x every consumer)
- Access pattern (dominant + per-function distribution)
- Frequency (aggregate + per-function)
- Result coverage table
- Type alias coverage table (typed vs untyped sites)
- Cross-audit findings (per-bucket tables)
- Decomposition cost (8 metrics)
- Struct shape inference (inferred from producer returns)
- Optimization candidates (concrete refactor steps + affected files)
- Verdict
- Evidence appendix (every per-function item)

New rollups:
- field_usage.md: cross-aggregate field access frequency
- call_graph.md: producer/consumer tables grouped by aggregate

Total report: 1814 lines (was 1204).
2026-06-22 10:12:48 -04:00
ed 5405345c5a fix(audit): path resolution in analyze_consumer_fields + analyze_producer_size
The previous code did Path(src_dir) / function_ref.file, which
double-prefixed (e.g. src/src/project_manager.py) and silently
returned empty. Fixed: if function_ref.file exists as
CWD-relative, use it directly. Only join if it doesn't exist.

Now 130 real field accesses detected across 35 Metadata consumers
in the 2026-06-22 audit output (was 0 before).
2026-06-22 10:05:12 -04:00
ed 67ca680a05 feat(audit): per-aggregate cross_audit mapping via PCG file-index
The aggregate_findings function now does 3-tier mapping:
1. Function lookup (find_enclosing_function) -> exact match
2. File-level fallback: if the finding's file has any
   producer/consumer of the aggregate, bucket it there
3. Unbucketed (the file has no aggregate refs)

Handles both 'file' and 'filename' keys (v1 audit scripts use
'filename'; spec fixtures use 'file'). Path normalization
for Windows paths.

Generated the 6 real audit_inputs from scripts/audit_*.py
against real src/. The Metadata aggregate now shows:
- 1 unique weak_types finding (1 site, from ai_client.py:159)
- 1 unique exception_handling finding (76 sites from PARAM_OPTIONAL)

mcp_client.py shows 0 because no Metadata producer/consumer
exists in the PCG for mcp_client (P1/P2 only detect typed
parameter signatures, not internal field access). The next
gap is expanding P3 to capture internal field use.
2026-06-22 09:48:56 -04:00
ed 8d2dffd7c5 feat(audit): wire cross_audit_findings aggregator into synthesize
Loops over audit_weak_types + audit_exception_handling from
the 6 audit_inputs, calls aggregate_cross_audit_findings per
audit, sums the buckets per profile.

Cross-audit aggregation is per-aggregate-flat (all findings go
into 1 bucket per audit). The 3-tier finding-to-aggregate
mapping (find_enclosing_function + type registry + file
heuristic) is the next gap - requires per-finding site
classification.
2026-06-22 09:14:40 -04:00
ed 85f5808ae3 feat(audit): real analysis - consumer fields, struct size, decomp 2026-06-22 09:08:41 -04:00
ed a99e3e6e32 docs(audit): run v2 audit against real src/ - 13 profiles + 4 rollups
13 aggregate profiles (10 real + 3 candidate placeholders)
+ 4 top-level rollups. Per the spec, the 3 candidate
aggregates (ToolSpec, ChatMessage, ProviderHistory) are
forward-compat placeholders for any_type_componentization_20260621
(NOT on master); the audit's report includes them with
is_candidate: True.
2026-06-22 02:21:15 -04:00