conductor(tracks): backfill data_structure_strengthening_20260606 SHA in registry
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@@ -167,7 +167,7 @@ User review surfaced five outstanding UI issues, each previously attempted witho
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*Goal: Introduce Ryan Fleury's "errors are just cases" framework as a project convention. New `src/result_types.py` (ErrorKind enum, ErrorInfo dataclass, `Result[T]` with data + side-channel errors list, NilPath + NilRAGState sentinel singletons) and new `conductor/code_styleguides/error_handling.md` canonical reference. Refactor `src/mcp_client.py` ((p, err) tuples → Result; 30+ `assert p is not None` → nil-sentinel paths), `src/ai_client.py` (ProviderError exception → ErrorInfo dataclass; `_send_<vendor>()` → `_send_<vendor>_result()` returning `Result[str]`; `send()` marked `@deprecated`; new `send_result()` public API), and `src/rag_engine.py` (RAGEngine methods → Result returns). Update `conductor/product-guidelines.md` + `workflow.md` + `docs/guide_*.md` so the convention is documented and future plans can incrementally migrate the remaining `src/` files. **Blocked by** startup_speedup, test_batching_refactor, and qwen_llama_grok tracks. 5 phases: foundation+styleguide, mcp_client refactor, ai_client refactor (highest risk; ProviderError removal), rag_engine refactor, deprecation+docs+archive.*
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*Follow-up: [./tracks/public_api_migration_20260606/](./tracks/public_api_migration_20260606/) (planned; not yet specced) — removes the deprecated `ai_client.send()` and migrates all callers.*
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0f. [ ] **Track: Data Structure Strengthening (Type Aliases + NamedTuples)** `[track-created: <pending>]`
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0f. [ ] **Track: Data Structure Strengthening (Type Aliases + NamedTuples)** `[track-created: ed42a97a]`
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*Link: [./tracks/data_structure_strengthening_20260606/](./tracks/data_structure_strengthening_20260606/), Spec: [./tracks/data_structure_strengthening_20260606/spec.md](./tracks/data_structure_strengthening_20260606/spec.md), Plan: [./tracks/data_structure_strengthening_20260606/plan.md](./tracks/data_structure_strengthening_20260606/plan.md) (to be authored by writing-plans skill)*
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*Goal: Improve AI-readability by naming 430 currently-anonymous `dict[str, Any]` / `list[dict[...]]` / `Tuple[...]` types. New `src/type_aliases.py` with 10 `TypeAlias` definitions (`Metadata`, `CommsLogEntry`, `CommsLog`, `HistoryMessage`, `History`, `FileItem`, `FileItems`, `ToolDefinition`, `ToolCall`, `CommsLogCallback`) and 1 `NamedTuple` (`FileItemsDiff`). Mechanical replacement of 345 weak sites across 6 high-traffic files: `src/ai_client.py` (139), `src/app_controller.py` (86), `src/models.py` (51), `src/api_hook_client.py` (32), `src/project_manager.py` (20), `src/aggregate.py` (17). Add `--strict` mode to the existing `scripts/audit_weak_types.py` (committed in 84fd9ac9; found the 430 sites) so it becomes a permanent CI gate that fails when new weak types are introduced. Generate `scripts/audit_weak_types.baseline.json` with the post-refactor count. 2 phases: aliases + 6-file replacement + audit baseline; NamedTuples + docs + archive. **Data-grounded**: the audit script is the source of truth; the count drops from 430 to ~60 (86% reduction) in the 6 high-traffic files. **Honest about what's missing**: 23 lower-impact files remain; TypedDict/dataclass migration is deferred to a follow-up track. 2-3 days work, 1-2 phases, low risk.*
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