Public Access
adminandClaude Sonnet 4.6
35f736a052
- set_size 21→3, top_k 20→10: generate 3 weekly dinners not full 3×7 matrix - All 3 items assigned MealType.DINNER on Mon/Wed/Fri - RecipeCost gains servings field + cost_per_serving property - compute_recipe_cost accepts servings param (default 4) - filter.py gates on cost_per_serving instead of total_cost - max_meal_cost 500→50 (now a meaningful $/serving threshold) - Email displays ~$X/serving instead of inflated raw total - select_set: candidate_pool uses max(top_k, set_size) to prevent combinations(n<set_size) returning empty iterator Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
"""Planner constants. Tune here without touching algorithm code."""
|
|
from __future__ import annotations
|
|
|
|
from dataclasses import dataclass
|
|
|
|
|
|
@dataclass(frozen=True)
|
|
class PlannerConfig:
|
|
# Hard constraints
|
|
recency_weeks: int = 4 # constraint #3: no repeat within N weeks
|
|
calorie_tolerance_pct: int = 20 # constraint #4: ±X% of family.calorie_target
|
|
max_total_minutes: int = 45 # constraint #5: prep + cook
|
|
max_meal_cost: float = 50.00 # constraint #6: dollars per serving (dimensionless proxy — unit conversion not yet implemented)
|
|
|
|
# Scoring weights (must sum to 1.0)
|
|
w_savings: float = 0.30
|
|
w_coverage: float = 0.25
|
|
w_pantry: float = 0.10
|
|
w_time: float = 0.15
|
|
w_recency: float = 0.20
|
|
|
|
# Time bonus boundaries
|
|
time_ideal_minutes: int = 25 # full bonus at <= this
|
|
time_full_minutes: int = 45 # zero bonus at this; matches max_total_minutes
|
|
|
|
# Recency bonus boundary
|
|
recency_full_weeks: int = 12 # full bonus when last cooked >= this many weeks ago
|
|
|
|
# Set selection
|
|
top_k: int = 10 # how many feasible recipes to enumerate over
|
|
set_size: int = 3 # 3 dinners/week
|
|
p_protein: float = 0.15 # diversity penalty per shared-protein pair
|
|
p_cuisine: float = 0.10 # diversity penalty per shared-cuisine pair
|
|
|
|
def validate(self) -> None:
|
|
total = self.w_savings + self.w_coverage + self.w_pantry + self.w_time + self.w_recency
|
|
if abs(total - 1.0) > 1e-6:
|
|
raise ValueError(f"weights must sum to 1.0, got {total}")
|
|
|
|
|
|
DEFAULT = PlannerConfig()
|
|
DEFAULT.validate()
|