Initial commit — Commis personal chef app

AI-powered local chef tool: pantry tracking, meal logging, rotating weekly
menu generation, and grocery list optimization via Ollama (llama3).
FastAPI backend, SQLite, vanilla JS frontend.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

1 files changed, 203 insertions, 0 deletions

diff --git a/schemas.py b/schemas.py
new file mode 100644
index 0000000..0d16826
--- /dev/null
+++ b/schemas.py
@@ -0,0 +1,203 @@
+from pydantic import BaseModel, ConfigDict
+from datetime import datetime, date
+from typing import Optional, List, Dict
+
+
+# Ingredient Schemas
+class IngredientCreate(BaseModel):
+    name: str
+    quantity: float
+    unit: str
+    category: Optional[str] = None
+    expiry_date: Optional[date] = None
+
+
+class IngredientRead(BaseModel):
+    id: int
+    name: str
+    quantity: float
+    unit: str
+    category: Optional[str]
+    expiry_date: Optional[date]
+    added_at: datetime
+    updated_at: datetime
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class IngredientUpdate(BaseModel):
+    name: Optional[str] = None
+    quantity: Optional[float] = None
+    unit: Optional[str] = None
+    category: Optional[str] = None
+    expiry_date: Optional[date] = None
+
+
+# MealIngredient Schemas
+class MealIngredientCreate(BaseModel):
+    ingredient_name: str
+    quantity_used: Optional[float] = None
+    unit: Optional[str] = None
+
+
+class MealIngredientRead(BaseModel):
+    id: int
+    meal_log_id: int
+    ingredient_name: str
+    quantity_used: Optional[float]
+    unit: Optional[str]
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class MealIngredientUpdate(BaseModel):
+    ingredient_name: Optional[str] = None
+    quantity_used: Optional[float] = None
+    unit: Optional[str] = None
+
+
+# MealLog Schemas
+class MealLogCreate(BaseModel):
+    meal_name: str
+    meal_type: str
+    eaten_at: Optional[datetime] = None
+    notes: Optional[str] = None
+    servings: int = 1
+    ingredients: Optional[List[MealIngredientCreate]] = None
+
+
+class MealLogRead(BaseModel):
+    id: int
+    meal_name: str
+    meal_type: str
+    eaten_at: datetime
+    notes: Optional[str]
+    servings: int
+    ingredients: List[MealIngredientRead]
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class MealLogUpdate(BaseModel):
+    meal_name: Optional[str] = None
+    meal_type: Optional[str] = None
+    eaten_at: Optional[datetime] = None
+    notes: Optional[str] = None
+    servings: Optional[int] = None
+
+
+# Recipe Schemas
+class RecipeCreate(BaseModel):
+    name: str
+    meal_type: str
+    ingredients: str
+    instructions: Optional[str] = None
+    estimated_time_minutes: Optional[int] = None
+    servings: int = 2
+    source: str = "ai"
+
+
+class RecipeRead(BaseModel):
+    id: int
+    name: str
+    meal_type: str
+    ingredients: str
+    instructions: Optional[str]
+    estimated_time_minutes: Optional[int]
+    servings: int
+    source: str
+    created_at: datetime
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class RecipeUpdate(BaseModel):
+    name: Optional[str] = None
+    meal_type: Optional[str] = None
+    ingredients: Optional[str] = None
+    instructions: Optional[str] = None
+    estimated_time_minutes: Optional[int] = None
+    servings: Optional[int] = None
+    source: Optional[str] = None
+
+
+# MenuPlan Schemas
+class MenuPlanCreate(BaseModel):
+    week_start: date
+    plan: str
+    model_used: Optional[str] = None
+
+
+class MenuPlanRead(BaseModel):
+    id: int
+    week_start: date
+    plan: str
+    generated_at: datetime
+    model_used: Optional[str]
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class MenuPlanUpdate(BaseModel):
+    week_start: Optional[date] = None
+    plan: Optional[str] = None
+    model_used: Optional[str] = None
+
+
+# GroceryList Schemas
+class GroceryListCreate(BaseModel):
+    generated_for: date
+    items: str
+    total_estimate: Optional[float] = None
+    notes: Optional[str] = None
+
+
+class GroceryListRead(BaseModel):
+    id: int
+    generated_for: date
+    items: str
+    total_estimate: Optional[float]
+    generated_at: datetime
+    is_purchased: bool
+    notes: Optional[str]
+
+    model_config = ConfigDict(from_attributes=True)
+
+
+class GroceryListUpdate(BaseModel):
+    generated_for: Optional[date] = None
+    items: Optional[str] = None
+    total_estimate: Optional[float] = None
+    is_purchased: Optional[bool] = None
+    notes: Optional[str] = None
+
+
+# Complex domain schemas
+class GroceryItem(BaseModel):
+    name: str
+    quantity: float
+    unit: str
+    store_section: Optional[str] = None
+    estimated_cost: Optional[float] = None
+    used_in_meals: List[str] = []
+    reason: Optional[str] = None
+
+
+class PantryContext(BaseModel):
+    available_ingredients: List[IngredientRead] = []
+    expiring_soon: List[IngredientRead] = []
+    recent_meals: List[MealLogRead] = []
+    meal_frequency: Dict[str, int] = {}
+
+
+class WeeklyMenuSlot(BaseModel):
+    name: str
+    ingredients: List[str] = []
+    instructions: Optional[str] = None
+    time_minutes: Optional[int] = None
+
+
+class WeeklyMenuDay(BaseModel):
+    breakfast: Optional[WeeklyMenuSlot] = None
+    lunch: Optional[WeeklyMenuSlot] = None
+    dinner: Optional[WeeklyMenuSlot] = None