CDES Food Service Extension - Cannabis ingredient and recipe data models for culinary applications
Project description
CDES-FS: Cannabis Data Exchange Standard - Food Service Extension
Food service SDK for cannabis-infused culinary applications. Part of the CDES ecosystem.
Features
- COA Integration - Link recipes to lab test data
- Terpene Pairing - Flavor suggestions based on terpene profiles
- Dosage Calculation - Precise THC/CBD per serving
- Recipe Management - Cannabis-infused recipe database
- Compliance - Food safety and lot tracking
Use Cases
- Cannabis-infused restaurants and cafes
- Edible manufacturers
- Catering services with cannabis offerings
- Recipe development with precise dosing
- Flavor pairing based on terpene science
Installation
pip install cdes-fs
Quick Start
from cdes_fs import (
CannabisIngredient, Recipe, TerpeneProfile,
IngredientType, RecipeCategory
)
from decimal import Decimal
# Create a cannabis ingredient with COA reference
butter = CannabisIngredient(
name="Cannabis-Infused Butter",
ingredient_type=IngredientType.BUTTER,
thc_mg_per_gram=Decimal("10.0"),
coa_reference=CannabisCOAReference(
coa_id="COA-2026-001",
batch_number="BATCH-001",
strain_name="Blue Dream"
)
)
# Get terpene-based food pairing suggestions
profile = TerpeneProfile(
coa_reference=butter.coa_reference,
limonene=Decimal("0.8"),
myrcene=Decimal("0.5")
)
pairings = profile.suggest_pairings()
# ["citrus desserts", "seafood", "mangoes", "tropical fruits"]
# Create a recipe with automatic dosage calculation
recipe = Recipe(
name="Cannabis Lemon Bars",
category=RecipeCategory.DESSERT,
servings=12,
cannabis_ingredients=[(butter, Decimal("50.0"))] # 50g of butter
)
dosage = recipe.calculate_total_dosage()
# 500mg total THC / 12 servings = ~42mg per serving (high_dose_warning=True)
Documentation
License
MIT License - see LICENSE for details.
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