- Saved recipes: save/unsave, star rating, notes, tags, collections (migrations 018-020) - Recipe browser: domain/category browsing with pantry match badges, pagination - Recipe detail panel: full directions, ingredient checklist, swap candidates, prep notes - Grocery links: affiliate links for missing ingredients - Nutrition filters and display chips on recipe cards - Bookmark toggle persisted to saved_recipes table - Tier gates on saved recipes (paid) and collections (premium) - Browser telemetry for domain/category click tracking - Cloud compose: CLOUD_DATA_ROOT volume mount for per-user SQLite trees - manage.sh: cf-orch agent sidecar in local stack - README: updated feature list and stack description
84 lines
2.7 KiB
Python
84 lines
2.7 KiB
Python
"""Pydantic schemas for the recipe engine API."""
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from __future__ import annotations
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from pydantic import BaseModel, Field
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class SwapCandidate(BaseModel):
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original_name: str
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substitute_name: str
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constraint_label: str
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explanation: str
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compensation_hints: list[dict] = Field(default_factory=list)
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class NutritionPanel(BaseModel):
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"""Per-recipe macro summary. All values are per-serving when servings is known,
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otherwise for the full recipe. None means data is unavailable."""
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calories: float | None = None
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fat_g: float | None = None
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protein_g: float | None = None
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carbs_g: float | None = None
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fiber_g: float | None = None
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sugar_g: float | None = None
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sodium_mg: float | None = None
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servings: float | None = None
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estimated: bool = False # True when nutrition was inferred from ingredient profiles
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class RecipeSuggestion(BaseModel):
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id: int
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title: str
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match_count: int
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element_coverage: dict[str, float] = Field(default_factory=dict)
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swap_candidates: list[SwapCandidate] = Field(default_factory=list)
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matched_ingredients: list[str] = Field(default_factory=list)
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missing_ingredients: list[str] = Field(default_factory=list)
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directions: list[str] = Field(default_factory=list)
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prep_notes: list[str] = Field(default_factory=list)
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notes: str = ""
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level: int = 1
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is_wildcard: bool = False
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nutrition: NutritionPanel | None = None
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source_url: str | None = None
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class GroceryLink(BaseModel):
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ingredient: str
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retailer: str
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url: str
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class RecipeResult(BaseModel):
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suggestions: list[RecipeSuggestion]
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element_gaps: list[str]
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grocery_list: list[str] = Field(default_factory=list)
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grocery_links: list[GroceryLink] = Field(default_factory=list)
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rate_limited: bool = False
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rate_limit_count: int = 0
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class NutritionFilters(BaseModel):
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"""Optional per-serving upper bounds for macro filtering. None = no filter."""
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max_calories: float | None = None
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max_sugar_g: float | None = None
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max_carbs_g: float | None = None
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max_sodium_mg: float | None = None
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class RecipeRequest(BaseModel):
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pantry_items: list[str]
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level: int = Field(default=1, ge=1, le=4)
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constraints: list[str] = Field(default_factory=list)
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expiry_first: bool = False
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hard_day_mode: bool = False
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max_missing: int | None = None
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style_id: str | None = None
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category: str | None = None
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tier: str = "free"
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has_byok: bool = False
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wildcard_confirmed: bool = False
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allergies: list[str] = Field(default_factory=list)
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nutrition_filters: NutritionFilters = Field(default_factory=NutritionFilters)
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excluded_ids: list[int] = Field(default_factory=list)
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shopping_mode: bool = False
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