Avocavo Python SDK - Nutrition analysis made simple with secure USDA data access
Project description
🥑 Avocavo Python SDK
Nutrition analysis made simple. Get accurate USDA nutrition data with secure authentication.
🚀 Quick Start
import avocavo
# Login to your account (OAuth flow)
avocavo.login()
# Analyze a single ingredient
result = avocavo.analyze("1 cup brown rice")
print(f"Calories: {result.nutrition.calories}")
# Analyze a recipe
recipe = avocavo.analyze_recipe([
"2 large eggs",
"1 cup all-purpose flour",
"1/2 cup milk"
])
print(f"Total calories: {recipe.total_nutrition.calories}")
📦 Installation
pip install avocavo
Requirements:
- Python >= 3.8
- Internet connection for API access
🔐 Authentication
- Sign up at nutrition.avocavo.app
- Login via Python:
import avocavo avocavo.login() # Opens browser for secure OAuth
- Your credentials are stored securely in your system keyring
📖 Basic Usage
Single Ingredient Analysis
import avocavo
# Simple ingredient analysis
result = avocavo.analyze("1 cup quinoa, cooked")
print(f"Calories: {result.nutrition.calories}")
print(f"Protein: {result.nutrition.protein}g")
print(f"Fiber: {result.nutrition.fiber}g")
# Access USDA match information
print(f"USDA Food: {result.usda_match.description}")
print(f"Confidence: {result.usda_match.confidence_score}")
Recipe Analysis
# Analyze a complete recipe
ingredients = [
"2 cups rolled oats",
"1 banana, mashed",
"1/2 cup blueberries",
"1 cup almond milk"
]
recipe = avocavo.analyze_recipe(ingredients)
# Get totals
print(f"Total Calories: {recipe.total_nutrition.calories}")
print(f"Total Protein: {recipe.total_nutrition.protein}g")
# Get per-serving (if servings specified)
print(f"Per Serving: {recipe.per_serving_nutrition.calories} calories")
# Individual ingredient breakdown
for ingredient in recipe.ingredients:
print(f"{ingredient.original_input}: {ingredient.nutrition.calories} cal")
Batch Analysis
# Analyze multiple ingredients efficiently
ingredients = [
"1 cup rice",
"100g chicken breast",
"1 medium apple",
"2 tbsp olive oil"
]
results = avocavo.analyze_batch(ingredients)
for result in results:
print(f"{result.original_input}: {result.nutrition.calories} calories")
🔧 Advanced Usage
Using the Client Class
from avocavo import NutritionAPI
# Initialize client (uses stored credentials)
client = NutritionAPI()
# Analyze with additional options
result = client.analyze_ingredient(
"1 cup rice",
include_sub_nutrients=True,
portion_precision="high"
)
# Get detailed nutrition breakdown
nutrients = result.nutrition.detailed_nutrients
for nutrient in nutrients:
print(f"{nutrient.name}: {nutrient.amount}{nutrient.unit}")
Account Management
import avocavo
# Check your usage
usage = avocavo.get_account_usage()
print(f"Requests used: {usage.requests_used}/{usage.requests_limit}")
# Get current user info
user = avocavo.get_current_user()
print(f"Logged in as: {user.email}")
# Manage API keys
api_keys = avocavo.list_api_keys()
for key in api_keys:
print(f"Key: {key.name} (Created: {key.created_at})")
🔒 Security Features
- 🔐 Secure Authentication: OAuth flow with system keyring storage
- 🛡️ SSL Verification: All API calls use verified HTTPS connections
- 🔑 No Hardcoded Secrets: Credentials stored securely, never in code
- 🚫 Input Sanitization: All inputs properly validated and sanitized
📊 Data Models
Nutrition Object
nutrition = result.nutrition
# Macronutrients
print(nutrition.calories) # kcal
print(nutrition.protein) # grams
print(nutrition.carbs) # grams
print(nutrition.fat) # grams
print(nutrition.fiber) # grams
# Micronutrients
print(nutrition.sodium) # mg
print(nutrition.calcium) # mg
print(nutrition.iron) # mg
print(nutrition.vitamin_c) # mg
USDA Match Information
match = result.usda_match
print(match.fdc_id) # USDA FDC ID
print(match.description) # Food description
print(match.confidence_score) # Match confidence (0-1)
print(match.data_type) # SR Legacy, Foundation, etc.
🚨 Error Handling
from avocavo import ApiError
try:
result = avocavo.analyze("invalid ingredient")
except ApiError as e:
print(f"API Error: {e.message}")
print(f"Status Code: {e.status_code}")
if e.status_code == 401:
print("Authentication required - run avocavo.login()")
elif e.status_code == 429:
print("Rate limit exceeded - upgrade your plan")
📚 Examples
Meal Planning
import avocavo
# Plan a day of meals
breakfast = avocavo.analyze_recipe([
"2 eggs, scrambled",
"1 slice whole wheat toast",
"1/2 avocado"
])
lunch = avocavo.analyze_recipe([
"4 oz grilled chicken",
"1 cup quinoa",
"1 cup steamed broccoli"
])
dinner = avocavo.analyze_recipe([
"6 oz salmon fillet",
"1 cup brown rice",
"1 cup roasted vegetables"
])
# Calculate daily totals
daily_calories = (breakfast.total_nutrition.calories +
lunch.total_nutrition.calories +
dinner.total_nutrition.calories)
print(f"Daily Total: {daily_calories} calories")
Recipe Scaling
# Original recipe for 4 servings
original = avocavo.analyze_recipe([
"2 cups flour",
"4 eggs",
"1 cup milk"
], servings=4)
# Scale to 8 servings (double)
scale_factor = 8 / 4
scaled_ingredients = []
for ingredient in original.ingredients:
# Extract amount and scale (simplified example)
scaled_amount = ingredient.parsed_amount * scale_factor
scaled_ingredients.append(f"{scaled_amount} {ingredient.parsed_unit} {ingredient.parsed_food}")
scaled_recipe = avocavo.analyze_recipe(scaled_ingredients, servings=8)
🆘 Support
- Documentation: nutrition.avocavo.app/docs/python
- API Dashboard: nutrition.avocavo.app
- Issues: GitHub Issues
- Email: api-support@avocavo.com
📄 License
MIT License - see LICENSE file for details.
🔄 Migrating from avocavo-nutrition?
The old package has been deprecated due to security vulnerabilities. Migration is straightforward:
# Remove old package
pip uninstall avocavo-nutrition
# Install new secure package
pip install avocavo
Code changes:
# OLD (deprecated)
import avocavo_nutrition as av
av.login()
# NEW (secure)
import avocavo
avocavo.login()
All functionality remains the same - only the import and security have been improved!
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