Public Access
feat: planner orchestrator - load, filter, score, select, persist
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"""End-to-end planner orchestration: load → filter → score → select → persist."""
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from __future__ import annotations
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from datetime import date
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from decimal import Decimal
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from typing import Dict, List, Optional, Set
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from uuid import UUID
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from sqlalchemy.orm import Session
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from app.models import (
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FamilyProfile,
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GroceryItem,
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HomePantry,
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IngredientGroceryMatch,
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MealPlan,
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MealPlanItem,
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MealPlanItemStatus,
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MealPlanStatus,
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MealType,
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NeverSuggest,
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Recipe,
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)
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from app.services.planner.config import DEFAULT, PlannerConfig
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from app.services.planner.cost import compute_recipe_cost
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from app.services.planner.filter import filter_recipes
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from app.services.planner.score import score_recipes
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from app.services.planner.select import select_set
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from app.services.planner.types import GenerationResult
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def _load_match_index(db: Session) -> Dict[UUID, List[dict]]:
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"""ingredient_id → list of match dicts ordered by confidence DESC."""
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rows = (
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db.query(IngredientGroceryMatch, GroceryItem)
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.join(GroceryItem, GroceryItem.id == IngredientGroceryMatch.grocery_item_id)
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.order_by(IngredientGroceryMatch.confidence.desc())
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.all()
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)
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index: Dict[UUID, List[dict]] = {}
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for match, grocery in rows:
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index.setdefault(match.ingredient_id, []).append(
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{
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"grocery_item_id": grocery.id,
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"grocery_item_name": grocery.name,
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"current_price": grocery.current_price,
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"regular_price": grocery.regular_price,
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"is_on_sale": bool(grocery.is_on_sale),
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"confidence": match.confidence,
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}
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)
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return index
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def _load_blocklists(
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db: Session, family_id: UUID
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) -> tuple[Set[UUID], Set[UUID]]:
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blocked_ingredients: Set[UUID] = set()
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blocked_recipes: Set[UUID] = set()
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for row in db.query(NeverSuggest).filter(NeverSuggest.family_profile_id == family_id).all():
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if row.ingredient_id is not None:
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blocked_ingredients.add(row.ingredient_id)
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if row.recipe_id is not None:
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blocked_recipes.add(row.recipe_id)
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return blocked_ingredients, blocked_recipes
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def _load_pantry(db: Session, family_id: UUID) -> Set[UUID]:
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return {
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row.ingredient_id
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for row in db.query(HomePantry).filter(HomePantry.family_profile_id == family_id).all()
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if row.ingredient_id is not None
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}
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def _load_last_cooked(db: Session, family_id: UUID) -> Dict[UUID, date]:
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rows = (
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db.query(MealPlanItem, MealPlan)
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.join(MealPlan, MealPlan.id == MealPlanItem.meal_plan_id)
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.filter(MealPlan.family_profile_id == family_id)
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.all()
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)
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last: Dict[UUID, date] = {}
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for item, plan in rows:
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if item.recipe_id is None:
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continue
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if item.recipe_id not in last or plan.week_start_date > last[item.recipe_id]:
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last[item.recipe_id] = plan.week_start_date
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return last
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def generate_meal_plan(
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db: Session,
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*,
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family_id: UUID,
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week_start_date: date,
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config: PlannerConfig = DEFAULT,
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today: Optional[date] = None,
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) -> GenerationResult:
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today = today or date.today()
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family = db.query(FamilyProfile).filter(FamilyProfile.id == family_id).first()
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if family is None:
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raise ValueError(f"family_profile {family_id} not found")
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recipes = db.query(Recipe).all()
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recipe_dicts = [
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{
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"id": r.id,
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"name": r.name,
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"prep_time_minutes": r.prep_time_minutes,
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"cook_time_minutes": r.cook_time_minutes,
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"calories_per_serving": r.calories_per_serving,
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"protein_type": r.protein_type,
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"cuisine_tags": list(r.cuisine_tags or []),
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"ingredients": list(r.ingredients or []),
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}
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for r in recipes
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]
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recipe_ingredient_ids: Dict[UUID, Set[UUID]] = {}
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for r in recipe_dicts:
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ids: Set[UUID] = set()
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for line in r["ingredients"]:
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ing_id = line.get("ingredient_id")
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if isinstance(ing_id, str):
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ing_id = UUID(ing_id)
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if ing_id is not None:
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ids.add(ing_id)
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recipe_ingredient_ids[r["id"]] = ids
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match_index = _load_match_index(db)
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pantry_ids = _load_pantry(db, family_id)
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blocked_ings, blocked_recipes = _load_blocklists(db, family_id)
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last_cooked = _load_last_cooked(db, family_id)
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recipe_costs = {
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r["id"]: compute_recipe_cost(
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recipe_id=r["id"],
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ingredients=r["ingredients"],
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match_index=match_index,
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pantry_ingredient_ids=pantry_ids,
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)
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for r in recipe_dicts
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}
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filtered = filter_recipes(
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recipes=recipe_dicts,
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recipe_ingredient_ids=recipe_ingredient_ids,
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recipe_costs=recipe_costs,
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blocked_ingredient_ids=blocked_ings,
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blocked_recipe_ids=blocked_recipes,
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last_cooked_at=last_cooked,
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family_calorie_target=family.calorie_target,
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config=config,
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today=today,
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)
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feasible_recipes = [r for r in recipe_dicts if r["id"] in filtered.feasible_recipe_ids]
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scored = score_recipes(
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recipes=feasible_recipes,
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recipe_costs=recipe_costs,
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last_cooked_at=last_cooked,
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config=config,
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today=today,
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)
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chosen, set_score = select_set(scored, config)
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plan = MealPlan(
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family_profile_id=family_id,
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week_start_date=week_start_date,
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status=MealPlanStatus.DRAFT,
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total_estimated_cost=sum(
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(s.cost.total_cost for s in chosen), Decimal("0.00")
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),
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)
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db.add(plan)
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db.flush()
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for index, scored_recipe in enumerate(chosen):
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item = MealPlanItem(
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meal_plan_id=plan.id,
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recipe_id=scored_recipe.recipe_id,
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day_of_week=index + 1, # Mon=1, Tue=2, Wed=3 by default
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meal_type=MealType.DINNER,
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approval_status=MealPlanItemStatus.PENDING,
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estimated_cost=scored_recipe.cost.total_cost,
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)
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db.add(item)
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db.commit()
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db.refresh(plan)
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rejected_summary: Dict[str, int] = {}
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for reason in filtered.rejected.values():
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rejected_summary[reason] = rejected_summary.get(reason, 0) + 1
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return GenerationResult(
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meal_plan_id=plan.id,
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selected=chosen,
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feasible_count=len(filtered.feasible_recipe_ids),
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rejected_summary=rejected_summary,
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set_score=set_score,
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)
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@@ -0,0 +1,89 @@
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from datetime import date
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from decimal import Decimal
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from uuid import UUID, uuid4
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import pytest
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pytestmark = pytest.mark.requires_postgres
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def test_generate_meal_plan_against_seeded_data():
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"""Smoke test: with the seeded 30 recipes and a seeded grocery scrape,
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generate produces a MealPlan with up to 3 items.
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"""
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from datetime import datetime, timezone
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from app.database import SessionLocal
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from app.models import (
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FamilyProfile,
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GroceryItem,
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Ingredient,
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IngredientGroceryMatch,
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IngredientMatchSource,
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MealPlan,
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MealPlanItem,
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)
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from app.services.matcher import run_match_job
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from app.services.planner.generate import generate_meal_plan
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setup = SessionLocal()
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try:
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family = FamilyProfile(
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id=uuid4(),
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name="Generate Smoke Family",
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household_size=4,
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adult_count=2,
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child_count=2,
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calorie_target=500,
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)
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setup.add(family)
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setup.commit()
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family_id = family.id
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# Seed at least one grocery_item per ingredient that the recipes use
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# so cost matching can find prices. Pick a handful to keep runtime low.
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for ing in setup.query(Ingredient).limit(20).all():
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setup.add(
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GroceryItem(
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id=uuid4(),
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name=ing.name,
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source="lucky_california",
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external_id=f"ext-test-{ing.id}",
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current_price=Decimal("3.99"),
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regular_price=Decimal("4.99"),
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is_on_sale=True,
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scraped_at=datetime.now(timezone.utc),
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)
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)
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setup.commit()
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finally:
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setup.close()
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work = SessionLocal()
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try:
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run_match_job(work)
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result = generate_meal_plan(work, family_id=family_id, week_start_date=date(2026, 5, 11))
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assert result.meal_plan_id is not None
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assert 1 <= len(result.selected) <= 3 # at least 1, at most 3
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plan = work.query(MealPlan).filter(MealPlan.id == result.meal_plan_id).first()
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assert plan is not None
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items = work.query(MealPlanItem).filter(MealPlanItem.meal_plan_id == plan.id).all()
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assert len(items) == len(result.selected)
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finally:
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cleanup = SessionLocal()
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try:
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cleanup.query(MealPlanItem).filter(
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MealPlanItem.meal_plan_id.in_(
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[r[0] for r in cleanup.query(MealPlan.id).filter(MealPlan.family_profile_id == family_id).all()]
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)
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).delete(synchronize_session=False)
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cleanup.query(MealPlan).filter(MealPlan.family_profile_id == family_id).delete(synchronize_session=False)
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cleanup.query(FamilyProfile).filter(FamilyProfile.id == family_id).delete(synchronize_session=False)
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cleanup.query(GroceryItem).filter(GroceryItem.external_id.like("ext-test-%")).delete(synchronize_session=False)
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cleanup.query(IngredientGroceryMatch).filter(
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IngredientGroceryMatch.source == IngredientMatchSource.AUTO
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).delete(synchronize_session=False)
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cleanup.commit()
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finally:
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cleanup.close()
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work.close()
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