add server: FastAPI + Docker

Python 3.11 + FastAPI con tre endpoint (/health, /auth/test, /recipes/generate).
Autenticazione via header X-App-Password, validazione input Pydantic,
chiamata in streaming a NVIDIA NIM (nemotron-3-ultra-550b-a55b) con thinking.
Dockerizzato con docker-compose; configurazione tramite .env.

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

server/app/models.py

@@ -0,0 +1,38 @@
+from pydantic import BaseModel, Field
+
+
+class Ingredient(BaseModel):
+    name: str = Field(..., max_length=100)
+    quantity: float = Field(..., gt=0)
+    unit: str = Field(..., max_length=50)
+
+
+class Preferences(BaseModel):
+    servings: int = Field(2, ge=1, le=20)
+    maxTimeMinutes: int = Field(60, ge=5, le=300)
+    difficulty: str = Field("facile", max_length=50)
+    diet: str = Field("nessuna", max_length=100)
+    allergies: list[str] = Field(default_factory=list)
+    avoid: list[str] = Field(default_factory=list)
+    tools: list[str] = Field(default_factory=list)
+
+
+class RecipeRequest(BaseModel):
+    ingredients: list[Ingredient] = Field(..., min_length=1, max_length=30)
+    preferences: Preferences = Field(default_factory=Preferences)
+
+
+class Recipe(BaseModel):
+    title: str
+    servings: int
+    timeMinutes: int
+    difficulty: str
+    whyThisRecipe: str
+    usedIngredients: list[str]
+    optionalMissingIngredients: list[str]
+    steps: list[str]
+    notes: list[str]
+
+
+class RecipeResponse(BaseModel):
+    recipes: list[Recipe]