код написан

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2026-03-10 12:00:18 +03:00
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commit 0078c1ae05
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@@ -49,6 +49,8 @@ Auto-generated from all feature plans. Last updated: 2025-12-19
- PostgreSQL (конфигурации/метаданные), filesystem (артефакты дистрибутива, отчёты проверки) (020-clean-repo-enterprise)
- Python 3.9+ (backend), Node.js 18+ + SvelteKit (frontend) + FastAPI, SQLAlchemy, Pydantic, existing auth stack (`get_current_user`), existing dashboards route/service, Svelte runes (`$state`, `$derived`, `$effect`), Tailwind CSS, frontend `api` wrapper (024-user-dashboard-filter)
- Existing auth database (`AUTH_DATABASE_URL`) with a dedicated per-user preference entity (024-user-dashboard-filter)
- Python 3.9+ (Backend), Node.js 18+ / Svelte 5.x (Frontend) + FastAPI, SQLAlchemy, APScheduler (Backend) | SvelteKit, Tailwind CSS, existing UI components (Frontend) (026-dashboard-health-windows)
- PostgreSQL / SQLite (existing database for `ValidationRecord` and new `ValidationPolicy`) (026-dashboard-health-windows)
- Python 3.9+ (Backend), Node.js 18+ (Frontend Build) (001-plugin-arch-svelte-ui)
@@ -69,9 +71,9 @@ cd src; pytest; ruff check .
Python 3.9+ (Backend), Node.js 18+ (Frontend Build): Follow standard conventions
## Recent Changes
- 026-dashboard-health-windows: Added Python 3.9+ (Backend), Node.js 18+ / Svelte 5.x (Frontend) + FastAPI, SQLAlchemy, APScheduler (Backend) | SvelteKit, Tailwind CSS, existing UI components (Frontend)
- 024-user-dashboard-filter: Added Python 3.9+ (backend), Node.js 18+ + SvelteKit (frontend) + FastAPI, SQLAlchemy, Pydantic, existing auth stack (`get_current_user`), existing dashboards route/service, Svelte runes (`$state`, `$derived`, `$effect`), Tailwind CSS, frontend `api` wrapper
- 020-clean-repo-enterprise: Added Python 3.9+ (backend scripts/services), Shell (release tooling) + FastAPI stack (existing backend), ConfigManager, TaskManager, файловые утилиты, internal artifact registries
- 001-unify-frontend-style: Added Node.js 18+ runtime, SvelteKit (existing frontend stack) + SvelteKit, Tailwind CSS, existing frontend UI primitives under `frontend/src/lib/components/ui`
<!-- MANUAL ADDITIONS START -->

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@@ -0,0 +1,72 @@
---
description: Maintain semantic integrity by generating maps and auditing compliance reports.
---
## User Input
```text
$ARGUMENTS
```
You **MUST** consider the user input before proceeding (if not empty).
## Goal
Ensure the codebase adheres to the semantic standards defined in `.ai/standards/semantics.md`. This involves generating the semantic map, analyzing compliance reports, and identifying critical parsing errors or missing metadata.
## Operating Constraints
1. **ROLE: Orchestrator**: You are responsible for the high-level coordination of semantic maintenance.
2. **STRICT ADHERENCE**: Follow `.ai/standards/semantics.md` for all anchor and tag syntax.
3. **NON-DESTRUCTIVE**: Do not remove existing code logic; only add or update semantic annotations.
4. **TIER AWARENESS**: Prioritize CRITICAL and STANDARD modules for compliance fixes.
## Execution Steps
### 1. Generate Semantic Map
Run the generator script from the repository root:
```bash
python3 generate_semantic_map.py
```
### 2. Analyze Compliance Status
**Parse the output to identify**:
- Path to the latest report in `semantics/reports/semantic_report_*.md`.
- Global Compliance Score.
- Total count of Global Errors and Warnings.
### 3. Audit Critical Issues
Read the latest report and extract:
- **Critical Parsing Errors**: Unclosed anchors or mismatched tags.
- **Low-Score Files**: Files with score < 0.7 or marked with 🔴.
- **Missing Mandatory Tags**: Specifically for CRITICAL tier modules.
### 4. Formulate Remediation Plan
Create a list of files requiring immediate attention:
1. **Priority 1**: Fix all "Critical Parsing Errors" (unclosed anchors).
2. **Priority 2**: Add missing mandatory tags for CRITICAL modules.
3. **Priority 3**: Improve coverage for STANDARD modules.
### 5. Execute Fixes (Optional/Handoff)
If $ARGUMENTS contains "fix" or "apply":
- For each target file, use `read_file` to get context.
- Apply semantic fixes using `apply_diff`, preserving all code logic.
- Re-run `python3 generate_semantic_map.py` to verify the fix.
## Output
Provide a summary of the semantic state:
- **Global Score**: [X]%
- **Status**: [PASS/FAIL] (FAIL if any Critical Parsing Errors exist)
- **Top Issues**: List top 3-5 files needing attention.
- **Action Taken**: Summary of maps generated or fixes applied.
## Context
$ARGUMENTS