kiwi/app/models/schemas/recipe.py
pyr0ball ed4595d960 feat(recipes): async L3/L4 recipe job queue with poll endpoint
Adds the recipe_jobs table and background task pipeline for level 3/4
recipe generation. POST ?async=true returns 202 with job_id; clients
poll GET /recipes/jobs/{job_id} until status=done.

Key fix: _enqueue_recipe_job now calls scheduler.enqueue() after
insert_task() to wake the in-memory work queue immediately. Without
this, tasks sat in 'queued' until the scheduler's 30s idle cycle or
an API restart triggered _load_queued_tasks().

- Migration 034: recipe_jobs table (job_id, user_id, status, request,
  result, error) with indexes on job_id and user_id/created_at
- Store: create/get/update_running/complete/fail recipe job methods
- runner.py: recipe_llm task type + _run_recipe_llm handler; MUST
  call fail_recipe_job() before re-raising so status stays consistent
- CLOUD_MODE guard: falls back to sync generation (scheduler only
  polls shared settings DB, not per-user DBs)
- L4 wildcard is covered by the same req.level in (3, 4) dispatch
2026-04-19 21:44:27 -07:00

152 lines
5 KiB
Python

"""Pydantic schemas for the recipe engine API."""
from __future__ import annotations
from pydantic import BaseModel, Field
class SwapCandidate(BaseModel):
original_name: str
substitute_name: str
constraint_label: str
explanation: str
compensation_hints: list[dict] = Field(default_factory=list)
class NutritionPanel(BaseModel):
"""Per-recipe macro summary. All values are per-serving when servings is known,
otherwise for the full recipe. None means data is unavailable."""
calories: float | None = None
fat_g: float | None = None
protein_g: float | None = None
carbs_g: float | None = None
fiber_g: float | None = None
sugar_g: float | None = None
sodium_mg: float | None = None
servings: float | None = None
estimated: bool = False # True when nutrition was inferred from ingredient profiles
class RecipeSuggestion(BaseModel):
id: int
title: str
match_count: int
element_coverage: dict[str, float] = Field(default_factory=dict)
swap_candidates: list[SwapCandidate] = Field(default_factory=list)
matched_ingredients: list[str] = Field(default_factory=list)
missing_ingredients: list[str] = Field(default_factory=list)
directions: list[str] = Field(default_factory=list)
prep_notes: list[str] = Field(default_factory=list)
notes: str = ""
level: int = 1
is_wildcard: bool = False
nutrition: NutritionPanel | None = None
source_url: str | None = None
complexity: str | None = None # 'easy' | 'moderate' | 'involved'
estimated_time_min: int | None = None # derived from step count + method signals
class GroceryLink(BaseModel):
ingredient: str
retailer: str
url: str
class RecipeResult(BaseModel):
suggestions: list[RecipeSuggestion]
element_gaps: list[str]
grocery_list: list[str] = Field(default_factory=list)
grocery_links: list[GroceryLink] = Field(default_factory=list)
rate_limited: bool = False
rate_limit_count: int = 0
orch_fallback: bool = False # True when orch budget exhausted; fell back to local LLM
class RecipeJobQueued(BaseModel):
job_id: str
status: str = "queued"
class RecipeJobStatus(BaseModel):
job_id: str
status: str
result: RecipeResult | None = None
error: str | None = None
class NutritionFilters(BaseModel):
"""Optional per-serving upper bounds for macro filtering. None = no filter."""
max_calories: float | None = None
max_sugar_g: float | None = None
max_carbs_g: float | None = None
max_sodium_mg: float | None = None
class RecipeRequest(BaseModel):
pantry_items: list[str]
# Maps product name → secondary state label for items past nominal expiry
# but still within their secondary use window (e.g. {"Bread": "stale"}).
# Used by the recipe engine to boost recipes suited to those specific states.
secondary_pantry_items: dict[str, str] = Field(default_factory=dict)
level: int = Field(default=1, ge=1, le=4)
constraints: list[str] = Field(default_factory=list)
expiry_first: bool = False
hard_day_mode: bool = False
max_missing: int | None = None
style_id: str | None = None
category: str | None = None
tier: str = "free"
has_byok: bool = False
wildcard_confirmed: bool = False
allergies: list[str] = Field(default_factory=list)
nutrition_filters: NutritionFilters = Field(default_factory=NutritionFilters)
excluded_ids: list[int] = Field(default_factory=list)
shopping_mode: bool = False
pantry_match_only: bool = False # when True, only return recipes with zero missing ingredients
complexity_filter: str | None = None # 'easy' | 'moderate' | 'involved' — None = any
max_time_min: int | None = None # filter by estimated cooking time ceiling
unit_system: str = "metric" # "metric" | "imperial"
# ── Build Your Own schemas ──────────────────────────────────────────────────
class AssemblyRoleOut(BaseModel):
"""One role slot in a template, as returned by GET /api/recipes/templates."""
display: str
required: bool
keywords: list[str]
hint: str = ""
class AssemblyTemplateOut(BaseModel):
"""One assembly template, as returned by GET /api/recipes/templates."""
id: str # slug, e.g. "burrito_taco"
title: str
icon: str
descriptor: str
role_sequence: list[AssemblyRoleOut]
class RoleCandidateItem(BaseModel):
"""One candidate ingredient for a wizard picker step."""
name: str
in_pantry: bool
tags: list[str] = Field(default_factory=list)
class RoleCandidatesResponse(BaseModel):
"""Response from GET /api/recipes/template-candidates."""
compatible: list[RoleCandidateItem] = Field(default_factory=list)
other: list[RoleCandidateItem] = Field(default_factory=list)
available_tags: list[str] = Field(default_factory=list)
class BuildRequest(BaseModel):
"""Request body for POST /api/recipes/build."""
template_id: str
role_overrides: dict[str, str] = Field(default_factory=dict)