chore: Remove obsolete microservices directories and update all references

- Delete data-entry-app/ (1.6GB), reports-app/ (447MB), .auto-build-data/
- Saved ~1.4GB disk space (64% reduction: 2.2GB → 845MB)

Updated references across 38 files:
- .claude/rules/ paths: backend/modules/, src/modules/
- .claude/commands/validate.md: all validation paths
- docs/ (13 files): data-entry, telegram, README, CLAUDE.md
- scripts/ (3 files): backup-secrets, restore-secrets, test-docker
- security/ (2 files): git_cleanup, SECURITY_PROCEDURES
- deployment/ & shared/: updated all stale comments

All paths now reflect ultrathin monolith architecture:
- Backend: backend/modules/{reports,data_entry,telegram}/
- Frontend: src/modules/{reports,data-entry}/
- Shared: shared/{auth,database,routes}/

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

docs/telegram/README.md

@@ -83,7 +83,7 @@ The bot uses a standalone SQLite database for:
 
 ```bash
 # Navigate to telegram-bot directory
-cd reports-app/telegram-bot
+cd backend/modules/telegram
 
 # Create virtual environment
 python3 -m venv venv
@@ -331,7 +331,7 @@ application.add_handler(CommandHandler("mycommand", my_command))
 - **Implementation Summary:** [FAZA1_IMPLEMENTATION_SUMMARY.md](./FAZA1_IMPLEMENTATION_SUMMARY.md)
 
 **Frontend Changes:**
-- `reports-app/frontend/src/views/TelegramView.vue` - Complete UI refactor
+- `src/modules/reports/views/TelegramView.vue` - Complete UI refactor
 - Added `qrcode.vue` dependency for QR generation
 - Environment variable: `VITE_TELEGRAM_BOT_USERNAME`