feat: Migrate to ultrathin monolith architecture

Consolidate 3 separate applications (reports-app, data-entry-app, telegram-bot) into a unified
architecture with single backend and frontend:

Backend Changes:
- Unified FastAPI backend at backend/ with modular structure
- Modules: reports, data_entry, telegram in backend/modules/
- Centralized config.py and main.py with all routers registered
- Single worker mode (--workers 1) for Telegram bot compatibility
- Shared Oracle connection pool and JWT authentication
- Unified requirements.txt and environment configuration

Frontend Changes:
- Single Vue.js SPA with module-based routing
- Unified frontend at src/ with modules in src/modules/{reports,data-entry}/
- Shared components and stores in src/shared/
- Error boundaries for module isolation
- Dual API proxy in Vite for module communication

Infrastructure:
- New unified startup scripts: start-prod.sh, start-test.sh, start-backend.sh
- Environment templates: .env.dev.example, .env.test.example, .env.prod.example
- Updated deployment scripts for Windows IIS
- Simplified SSH tunnel management

Documentation:
- Comprehensive CLAUDE.md with architecture overview
- Module-specific docs in docs/{data-entry,telegram}/
- Architecture decision records in docs/ARCHITECTURE-DECISIONS.md
- Deployment guides consolidated in deployment/windows/docs/

This migration reduces complexity, improves maintainability, and enables easier
deployment while maintaining all existing functionality.

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

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

backend/modules/data_entry/schemas/ocr.py

@@ -0,0 +1,122 @@
+"""Pydantic schemas for OCR API."""
+
+from datetime import date
+from decimal import Decimal
+from typing import Optional, List
+
+from pydantic import BaseModel, Field
+
+
+class TvaEntry(BaseModel):
+    """Single TVA entry with code, percentage and amount."""
+    code: Optional[str] = Field(default=None, description="TVA code: A, B, C, D")
+    percent: int = Field(description="TVA percentage: 0, 5, 9, 19, 21")
+    amount: Decimal = Field(description="TVA amount for this rate")
+
+
+class PaymentMethod(BaseModel):
+    """Payment method entry from OCR."""
+    method: str = Field(description="CARD or NUMERAR")
+    amount: Decimal = Field(description="Amount paid")
+
+
+class ExtractionData(BaseModel):
+    """Extracted receipt data from OCR."""
+
+    receipt_type: str = Field(default='bon_fiscal', description="Receipt type: bon_fiscal or chitanta")
+    receipt_number: Optional[str] = Field(default=None, description="Receipt number")
+    receipt_series: Optional[str] = Field(default=None, description="Receipt series")
+    receipt_date: Optional[date] = Field(default=None, description="Receipt date")
+    amount: Optional[Decimal] = Field(default=None, description="Total amount")
+    partner_name: Optional[str] = Field(default=None, description="Vendor/partner name")
+    cui: Optional[str] = Field(default=None, description="CUI (fiscal identification code)")
+    description: Optional[str] = Field(default=None, description="Optional description")
+
+    # Additional extracted fields - Multiple TVA entries support
+    tva_entries: List[TvaEntry] = Field(default=[], description="List of TVA entries by rate (A, B, C, D)")
+    tva_total: Optional[Decimal] = Field(default=None, description="Total TVA amount")
+    address: Optional[str] = Field(default=None, description="Vendor address")
+    items_count: Optional[int] = Field(default=None, description="Number of items/articles")
+
+    # Payment methods extracted from receipt
+    payment_methods: List[PaymentMethod] = Field(default=[], description="Payment methods from receipt (CARD, NUMERAR)")
+    suggested_payment_mode: Optional[str] = Field(default=None, description="Auto-suggested payment mode based on OCR (casa/banca)")
+
+    # Client data (for B2B receipts - buyer information)
+    client_name: Optional[str] = Field(default=None, description="Client/customer company name")
+    client_cui: Optional[str] = Field(default=None, description="Client CUI/CIF fiscal code")
+    client_address: Optional[str] = Field(default=None, description="Client address")
+
+    confidence_amount: float = Field(default=0.0, ge=0, le=1, description="Amount extraction confidence")
+    confidence_date: float = Field(default=0.0, ge=0, le=1, description="Date extraction confidence")
+    confidence_vendor: float = Field(default=0.0, ge=0, le=1, description="Vendor extraction confidence")
+    confidence_client: float = Field(default=0.0, ge=0, le=1, description="Client extraction confidence")
+    overall_confidence: float = Field(default=0.0, ge=0, le=1, description="Overall confidence score")
+    raw_text: str = Field(default="", description="Raw OCR text")
+    ocr_engine: str = Field(default="", description="OCR engine used: paddleocr or tesseract")
+    processing_time_ms: int = Field(default=0, ge=0, description="Processing time in milliseconds")
+
+    class Config:
+        """Pydantic config."""
+        json_schema_extra = {
+            "example": {
+                "receipt_type": "bon_fiscal",
+                "receipt_number": "1360760",
+                "receipt_series": "0146",
+                "receipt_date": "2025-10-11",
+                "amount": 186.16,
+                "partner_name": "FIVE-HOLDING S.A.",
+                "cui": "10562600",
+                "description": None,
+                "tva_entries": [
+                    {"code": "A", "percent": 19, "amount": 25.00},
+                    {"code": "B", "percent": 9, "amount": 7.31}
+                ],
+                "tva_total": 32.31,
+                "address": "JUD. CONSTANTA, MUN. CONSTANTA, STR. ION ROATA NR. 3",
+                "items_count": 17,
+                "confidence_amount": 0.98,
+                "confidence_date": 0.98,
+                "confidence_vendor": 0.95,
+                "overall_confidence": 0.97,
+                "raw_text": "FIVE-HOLDING S.A.\nCIF: RO10562600\n..."
+            }
+        }
+
+
+class OCRResponse(BaseModel):
+    """OCR API response."""
+
+    success: bool = Field(description="Whether OCR processing was successful")
+    message: str = Field(description="Status message")
+    data: Optional[ExtractionData] = Field(default=None, description="Extracted data")
+
+    class Config:
+        """Pydantic config."""
+        json_schema_extra = {
+            "example": {
+                "success": True,
+                "message": "OCR processing successful. Found: amount, date, vendor",
+                "data": {
+                    "receipt_type": "bon_fiscal",
+                    "receipt_number": "12345",
+                    "receipt_date": "2024-01-15",
+                    "amount": 125.50,
+                    "partner_name": "MEGA IMAGE SRL",
+                    "cui": "12345678",
+                    "confidence_amount": 0.95,
+                    "confidence_date": 0.90,
+                    "confidence_vendor": 0.75,
+                    "overall_confidence": 0.87,
+                    "raw_text": "BON FISCAL\nMEGA IMAGE SRL\n..."
+                }
+            }
+        }
+
+
+class OCRStatusResponse(BaseModel):
+    """OCR service status response."""
+
+    available: bool = Field(description="Whether OCR service is available")
+    engines: list[str] = Field(description="Available OCR engines")
+    message: str = Field(description="Status message")