FastAPI backend (Python 3.11, MSSQL ODBC for SambaPOS, Azure DI OCR),
kitchen_db on central PG. React/TS/Vite frontend with navy sidebar layout.
Backend: auth.py (APP_SLUG=kitchen, SimpleNamespace — archive routes use
.kitchen_id/.is_admin without modification), main.py (51 migrations, scheduler,
internal router for KDS bookings feed), api/internal.py, full archive API
(31 routers: invoices, recipes, menus, sambapos, resos, newbook, disputes,
purchase_orders, etc.), models, migrations, OCR pipeline.
kitchen_id pinned to 1 (B1 — single hotel).
Frontend: AuthGate (app=kitchen, token shim for archive compat — B5b pending),
Layout (navy sidebar, 6 sections, Lucide icons, teal --app-primary),
App.tsx (Outlet pattern, UploadApp outside Layout), index.css (full :root block).
strict: false — archive components have type issues; build clean.
Note: 45 archive components call fetch('/api/...') without /kitchen/ prefix
(B5b). Runtime 404s; deferred until after initial testing.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
101 lines
2.9 KiB
Python
101 lines
2.9 KiB
Python
from datetime import datetime
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from sqlalchemy import String, DateTime, ForeignKey, Text, Integer
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from sqlalchemy.orm import Mapped, mapped_column, relationship
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from database import Base
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class FieldMapping(Base):
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"""
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Maps supplier-specific field names to standard invoice/line item fields.
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For example, if a supplier's invoices have "Document No" instead of "Invoice ID",
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we can create a mapping:
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source_field="Document No" -> target_field="invoice_number"
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Field types:
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- invoice: Maps to Invoice model fields (invoice_number, invoice_date, total, etc.)
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- line_item: Maps to LineItem model fields (description, quantity, amount, etc.)
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"""
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__tablename__ = "field_mappings"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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# Can be kitchen-wide (supplier_id=null) or supplier-specific
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kitchen_id: Mapped[int] = mapped_column(ForeignKey("kitchens.id"), nullable=False)
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supplier_id: Mapped[int] = mapped_column(ForeignKey("suppliers.id"), nullable=True)
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# The field name as it appears in the Azure OCR response
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source_field: Mapped[str] = mapped_column(String(100), nullable=False)
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# The target field in our model (e.g., "invoice_number", "description", "amount")
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target_field: Mapped[str] = mapped_column(String(100), nullable=False)
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# Field type: "invoice" or "line_item"
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field_type: Mapped[str] = mapped_column(String(20), default="invoice")
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# Optional transformation (for future use): "direct", "date", "currency", "number"
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transform: Mapped[str] = mapped_column(String(50), default="direct")
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# Priority for applying mappings (higher = applied first)
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priority: Mapped[int] = mapped_column(Integer, default=0)
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# Timestamps
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created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
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# Relationships
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kitchen: Mapped["Kitchen"] = relationship("Kitchen")
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supplier: Mapped["Supplier"] = relationship("Supplier")
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# Standard Azure field names for reference
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AZURE_INVOICE_FIELDS = [
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"InvoiceId",
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"InvoiceDate",
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"InvoiceTotal",
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"SubTotal",
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"TotalTax",
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"AmountDue",
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"VendorName",
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"VendorAddress",
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"CustomerName",
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"CustomerAddress",
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"PurchaseOrder",
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"DueDate",
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"ServiceDate",
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"ServiceStartDate",
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"ServiceEndDate",
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]
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AZURE_LINE_ITEM_FIELDS = [
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"Description",
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"Quantity",
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"UnitPrice",
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"Amount",
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"ProductCode",
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"Unit",
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"Date",
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"Tax",
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]
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# Our target fields
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TARGET_INVOICE_FIELDS = [
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"invoice_number",
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"invoice_date",
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"total",
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"net_total",
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"vendor_name",
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"order_number",
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]
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TARGET_LINE_ITEM_FIELDS = [
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"description",
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"quantity",
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"unit_price",
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"amount",
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"product_code",
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]
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from .user import Kitchen
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from .supplier import Supplier
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