stricter curation track
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@@ -22,7 +22,7 @@ This file tracks all major tracks for the project. Each track has its own detail
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*Link: [./tracks/source_wide_redundancy_audit_20260507/](./tracks/source_wide_redundancy_audit_20260507/)*
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*Goal: Deep file-by-file audit to identify unused methods, duplicate logic, and dead code.*
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4. [ ] **Track: Comprehensive Codebase Curation & Style Alignment**
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4. [~] **Track: Comprehensive Codebase Curation & Style Alignment**
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*Link: [./tracks/codebase_curation_20260507/](./tracks/codebase_curation_20260507/)*
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*Goal: Exhaustive review of all `.py` files. Remove redundancies, eliminate unnecessary code/data/processing, and strictly align with `product-guidelines.md` and the Python style guide. Focus on performance and maintainability.*
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# Granular Review Protocol: Codebase Curation
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This protocol defines the mandatory procedure for auditing and modifying files during the Phase 5 Heavy Curation. It is designed to minimize entropy and prevent regression propagation.
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## 1. File-by-File Audit Cycle
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For every `.py` file identified for curation:
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1. **Dependency Check:** Use `derive_code_path` and `py_get_imports` to identify all upstream and downstream dependencies.
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2. **State Verification:** Consult the `MUTATION_MATRIX_PHASE5.md` to identify any global state modifications performed by the file.
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3. **Redundancy Identification:** Cross-reference the file against `CULLING_CANDIDATES_PHASE5.md`.
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4. **Proposed Change Log:** Before editing, document the specific lines/symbols to be removed or refactored and the technical justification (e.g., "Superseded by theme_2.py").
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5. **Surgical Edit:** Use the `replace` tool for targeted deletions. Avoid bulk file overwrites.
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6. **Style Verification:** Immediately run `scripts/ai_style_formatter.py` on the modified file to ensure indentation and formatting standards are maintained.
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## 2. Regression Guardrails
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- **Functional Parity:** After every major deletion (e.g., removing a redundant module), run the associated unit tests (if any).
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- **Simulation Verification:** For changes to core pipelines (AI loop, Aggregation), run at least one relevant simulation (e.g., `simulation/ping_pong.py`) to verify end-to-end behavior.
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- **Human-in-the-Loop:** Significant refactors (e.g., the `aggregate.py` rework) MUST be presented to the user with a detailed diff before final commitment.
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## 3. Culling Justification Standards
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- **"Unused"**: Symbol has 0 project-wide references in the audit.
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- **"Redundant"**: Logic exists in a superior or more modern form elsewhere (e.g., `theme.py`).
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- **"Slop"**: Code that adds complexity without contributing to performance, configuration, or a specified feature.
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# Implementation Plan: Comprehensive Codebase Curation & Style Alignment (codebase_curation_20260507)
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## Phase 0: Context Integration & Strategy
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- [x] Task: Review all Phase 5 analysis reports in `./docs` to internalize the curation roadmap.
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- [x] Task: Define a "Granular Review Protocol" for file-by-file auditing and culling.
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- [x] Task: Conductor - User Manual Verification 'Curation Strategy' (Protocol in workflow.md)
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## Phase 1: Automated Standardization & Audit
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- [ ] Task: Run `scripts/ai_style_formatter.py` and `scripts/force_1space.py` on all files in `./src` and `./simulation`.
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- [~] Task: Run `scripts/ai_style_formatter.py` and `scripts/force_1space.py` on all files in `./src` and `./simulation`.
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- [ ] Task: Conduct an automated entropy audit to identify potential redundancy "hotspots".
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- [ ] Task: Conductor - User Manual Verification 'Standardization' (Protocol in workflow.md)
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# Specification: Comprehensive Codebase Curation & Style Alignment (codebase_curation_20260507)
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## Overview
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Aggressive pruning, optimization, and standardization of the codebase. This track uses the findings from the Code Path Analysis to trim away non-essential logic, data, and processing while strictly enforcing the project's technical integrity standards.
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Aggressive pruning, optimization, and standardization of the codebase. This track uses the findings from the Code Path Analysis and other Phase 5 audits to trim away non-essential logic, data, and processing while strictly enforcing the project's technical integrity standards.
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## Foundational Context (MANDATORY REVIEW)
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All curation efforts MUST be informed by the following Phase 5 analysis reports:
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- `docs/PIPELINE_ANALYSIS_PHASE5_INIT.md`: Processing route and pipeline mapping.
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- `docs/STATE_INVENTORY_PHASE5.md`: Core data structure and property inventory.
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- `docs/MUTATION_MATRIX_PHASE5.md`: Thread-safe state modification and lock map.
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- `docs/CULLING_CANDIDATES_PHASE5.md`: Identified redundant symbols, modules, and structures.
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## Granular Care & Regression Guardrails
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- **Surgical Execution:** Changes must be applied file-by-file with extreme granularity. No bulk culling without individual justification.
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- **Regression Monitoring:** Continuous verification of behavioral integrity. Any unintended entropy or performance degradation must trigger an immediate halt and review.
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- **Traceability:** Every removed line must be cross-referenced against the culling audit or pipeline map.
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## Scope
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- **Target Files:** All `.py` files in `./src` and `./simulation`.
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