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- import pyrebase
-
- config = {
- "apiKey": "AIzaSyD3bXRjLxEAVOKtj8hpjO4iI3Nn32F7agU",
- "authDomain": "foodcloud-f6eb1.firebaseapp.com",
- "databaseURL": "https://foodcloud-f6eb1.firebaseio.com/",
- "storageBucket": "foodcloud-f6eb1.appspot.com"
- }
-
- firebase = pyrebase.initialize_app(config)
-
- auth = firebase.auth()
-
- user = auth.sign_in_with_email_and_password('yigitcolakohlu@gmail.com', 'FoodWro2018')
-
- db = firebase.database()
-
- data_format_prod = {'Prod_Name': None, 'BBD': None, 'Nutrients': [], 'Calories': 0, 'Allergens': [],
- 'Problematic': False, 'Process': None, 'ED': None}
-
- data_format_proc = {'Harvested': {'Date': '', 'Location': '', 'Product': ''},
- 'Transport1': {'Duration': 0, 'Moved to,from': '-', 'Condition': True, 'Stopped': False},
- 'Process': {'Location': '', 'Processes': ''},
- 'Transport2': {'Duration': 0, 'Moved to,from': '-', 'Condition': 0, 'Stopped': False},
- 'Packaging': {'Location': '', 'Material': '', 'Cancerogen': True}}
-
- data_1_prod = {'Prod_Name': "Milk", 'BBD': "24.08.2018", 'Nutrients': ['Protein', 'Fat', 'Lactose', 'Glucose'],
- 'Calories': 120, 'Cooked': False, 'Allergens': ['Lactose'], 'Problematic': False,
- 'Process': 'Pastorized'}
-
- data_2_prod = {'Prod_Name': "Chocolate", 'BBD': "28.01.2019", 'Nutrients': ['Lactose', 'Glucose', 'Cocoa'],
- 'Calories': 180, 'Cooked': False, 'Allergens': [""], 'Problematic': False, 'Process': ''}
-
- data_1_proc = {'Harvested': {'Date': '18.08.2018', 'Location': 'Larson Family',
- 'Product': 'Raw Milk'},
- 'Transport1': {'Duration': 9, 'Moved to,from': 'Larson Family-McCarty Family Farms', 'Condition': True,
- 'Stopped': True}, 'Process': {'Location': 'McCarty Family Farms',
- 'Processes': 'Reverse Osmosis,Nanofiltration,Ultrafiltration,Microfiltration'},
- 'Transport2': {'Duration': 13, 'Moved to,from': 'McCarty Family Farms-JJX Packaging', 'Condition': True,
- 'Stopped': True},
- 'Packaging': {'Location': 'JJX Packaging', 'Material': 'Carton', 'Cancerogen': False}}
-
- data_2_proc = {'Harvested': {'Date': '27.01.2018', 'Location': 'India',
- 'Product': 'Cocoa'},
- 'Transport1': {'Duration': 71, 'Moved to,from': 'India-Nestle ', 'Condition': True, 'Stopped': True},
- 'Process': {'Location': 'Nestle', 'Processes': 'Roasting,Pulp,Conching,Moulding'},
- 'Transport2': {'Duration': 4, 'Moved to,from': 'Nestle-Ulma Packaging', 'Condition': True,
- 'Stopped': False},
- 'Packaging': {'Location': 'Ulma Packaging', 'Material': 'Foil', 'Cancerogen': False}}
-
- Products = [data_1_prod, data_2_prod]
- Processes = [data_1_proc, data_2_proc]
-
- for i in range(len(Products)):
- db.child("Products").child(str(i + 1)).set(Products[i])
-
- for i in range(len(Processes)):
- db.child("Processes").child(str(i + 1)).set(Processes[i])
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