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>
171 lines
8.4 KiB
Python
171 lines
8.4 KiB
Python
from datetime import datetime, date
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from decimal import Decimal
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from sqlalchemy import String, DateTime, Date, ForeignKey, Numeric, Boolean, Text, Integer, UniqueConstraint
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from sqlalchemy.dialects.postgresql import JSONB
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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 NewbookGLAccount(Base):
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"""GL Accounts fetched from Newbook API"""
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__tablename__ = "newbook_gl_accounts"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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kitchen_id: Mapped[int] = mapped_column(ForeignKey("kitchens.id"), nullable=False)
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# Newbook GL Account identifiers
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gl_account_id: Mapped[str] = mapped_column(String(50), nullable=False) # Newbook's internal ID
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gl_code: Mapped[str | None] = mapped_column(String(50), nullable=True) # Account code
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gl_name: Mapped[str] = mapped_column(String(255), nullable=False) # Account name/description
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gl_type: Mapped[str | None] = mapped_column(String(100), nullable=True) # Account type from Newbook
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# Group info for categorization
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gl_group_id: Mapped[str | None] = mapped_column(String(50), nullable=True) # Parent group ID
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gl_group_name: Mapped[str | None] = mapped_column(String(255), nullable=True) # Parent group name (e.g., "FNB - Food & Beverage")
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# User selection
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is_tracked: Mapped[bool] = mapped_column(Boolean, default=False) # User selected for revenue tracking
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display_order: Mapped[int] = mapped_column(Integer, default=0) # Order in reports
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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", back_populates="newbook_gl_accounts")
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daily_revenue: Mapped[list["NewbookDailyRevenue"]] = relationship(
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"NewbookDailyRevenue", back_populates="gl_account", cascade="all, delete-orphan"
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)
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__table_args__ = (
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UniqueConstraint('kitchen_id', 'gl_account_id', name='uq_newbook_gl_account'),
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)
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class NewbookDailyRevenue(Base):
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"""Daily revenue amounts per GL account from Newbook"""
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__tablename__ = "newbook_daily_revenue"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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kitchen_id: Mapped[int] = mapped_column(ForeignKey("kitchens.id"), nullable=False)
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gl_account_id: Mapped[int] = mapped_column(ForeignKey("newbook_gl_accounts.id"), nullable=False)
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date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
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amount_net: Mapped[Decimal] = mapped_column(Numeric(12, 2), nullable=False) # Net/exc tax amount
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amount_gross: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True) # Gross/inc tax (if available)
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# Sync metadata
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fetched_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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# Relationships
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kitchen: Mapped["Kitchen"] = relationship("Kitchen", back_populates="newbook_daily_revenue")
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gl_account: Mapped["NewbookGLAccount"] = relationship("NewbookGLAccount", back_populates="daily_revenue")
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__table_args__ = (
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UniqueConstraint('kitchen_id', 'gl_account_id', 'date', name='uq_newbook_revenue_per_day'),
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)
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class NewbookDailyOccupancy(Base):
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"""Daily occupancy and meal allocation data from Newbook"""
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__tablename__ = "newbook_daily_occupancy"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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kitchen_id: Mapped[int] = mapped_column(ForeignKey("kitchens.id"), nullable=False)
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date: Mapped[date] = mapped_column(Date, nullable=False, index=True)
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# Occupancy metrics
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total_rooms: Mapped[int | None] = mapped_column(Integer, nullable=True)
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occupied_rooms: Mapped[int | None] = mapped_column(Integer, nullable=True)
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occupancy_percentage: Mapped[Decimal | None] = mapped_column(Numeric(5, 2), nullable=True)
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total_guests: Mapped[int | None] = mapped_column(Integer, nullable=True) # People count
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# Meal allocation data (from booking inventory items)
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breakfast_allocation_qty: Mapped[int | None] = mapped_column(Integer, nullable=True)
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breakfast_allocation_netvalue: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True)
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dinner_allocation_qty: Mapped[int | None] = mapped_column(Integer, nullable=True)
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dinner_allocation_netvalue: Mapped[Decimal | None] = mapped_column(Numeric(12, 2), nullable=True)
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# Arrival tracking (for cross-referencing with Resos table bookings)
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arrival_count: Mapped[int | None] = mapped_column(Integer, nullable=True) # Number of bookings arriving this day
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arrival_booking_ids: Mapped[list | None] = mapped_column(JSONB, nullable=True) # List of booking IDs arriving
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arrival_booking_details: Mapped[list | None] = mapped_column(JSONB, nullable=True) # Full arrival details with booking refs
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# Room-level breakdown (JSONB array) - array of {room_number, booking_id, is_dbb, is_package} for each occupied room
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rooms_breakdown: Mapped[list | None] = mapped_column(JSONB, nullable=True)
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# Room-level details for residents table chart (DEPRECATED - use rooms_breakdown instead)
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room_number: Mapped[str | None] = mapped_column(String(50), nullable=True)
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booking_id: Mapped[str | None] = mapped_column(String(100), nullable=True) # Newbook booking reference
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guest_name: Mapped[str | None] = mapped_column(String(255), nullable=True)
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is_dbb: Mapped[bool] = mapped_column(Boolean, default=False) # Dinner Bed & Breakfast
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is_package: Mapped[bool] = mapped_column(Boolean, default=False) # Package deal
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# Forecast indicator
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is_forecast: Mapped[bool] = mapped_column(Boolean, default=False) # True for future booked dates
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fetched_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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# Relationships
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kitchen: Mapped["Kitchen"] = relationship("Kitchen", back_populates="newbook_daily_occupancy")
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__table_args__ = (
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UniqueConstraint('kitchen_id', 'date', name='uq_newbook_occupancy_per_day'),
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)
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class NewbookSyncLog(Base):
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"""Log of Newbook sync operations"""
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__tablename__ = "newbook_sync_log"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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kitchen_id: Mapped[int] = mapped_column(ForeignKey("kitchens.id"), nullable=False)
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sync_type: Mapped[str] = mapped_column(String(50), nullable=False) # 'gl_accounts', 'revenue', 'occupancy'
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started_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.utcnow)
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completed_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
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status: Mapped[str] = mapped_column(String(20), default="running") # running, success, failed
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records_fetched: Mapped[int] = mapped_column(Integer, default=0)
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error_message: Mapped[str | None] = mapped_column(Text, nullable=True)
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# Date range for the sync (for revenue/occupancy)
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date_from: Mapped[date | None] = mapped_column(Date, nullable=True)
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date_to: Mapped[date | None] = mapped_column(Date, nullable=True)
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# Relationships
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kitchen: Mapped["Kitchen"] = relationship("Kitchen", back_populates="newbook_sync_logs")
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class NewbookRoomCategory(Base):
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"""Room types/categories aggregated from Newbook API (site_list)"""
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__tablename__ = "newbook_room_categories"
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id: Mapped[int] = mapped_column(primary_key=True, index=True)
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kitchen_id: Mapped[int] = mapped_column(ForeignKey("kitchens.id"), nullable=False)
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# Room type identifiers (aggregated from site_list)
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site_id: Mapped[str] = mapped_column(String(50), nullable=False) # Type name as ID
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site_name: Mapped[str] = mapped_column(String(255), nullable=False) # Type name (e.g., "Standard Room")
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site_type: Mapped[str | None] = mapped_column(String(100), nullable=True) # Same as site_name
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# Room count of this type
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room_count: Mapped[int] = mapped_column(Integer, default=0) # Number of rooms of this type
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# User selection - included in occupancy/guest calculations
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is_included: Mapped[bool] = mapped_column(Boolean, default=True) # Include in occupancy calcs
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display_order: Mapped[int] = mapped_column(Integer, default=0)
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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", back_populates="newbook_room_categories")
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__table_args__ = (
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UniqueConstraint('kitchen_id', 'site_id', name='uq_newbook_room_category'),
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)
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# Forward reference
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from .user import Kitchen
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