2-8-2025 work on database code
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Jadowyne Ulve
parent
547f7ab711
commit
8e8738921d
@ -250,9 +250,9 @@ ROSEMARY EXTRACT AS PRESERVATVES. "DRIED","{'calcium': 0, 'calcium_serving'
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259,%PenneNoodles%,Penne Noodles,,[''],[''],[''],[''],,"{'carbohydrates': '0', 'carbohydrates_100g': 0, 'carbohydrates_unit': '', 'carbohydrates_value': 0, 'energy': 0, 'energy-kcal': 0, 'energy-kcal_100g': 0, 'energy-kcal_unit': '', 'energy-kcal_value': 0, 'energy-kcal_value_computed': 0, 'energy_100g': 0, 'energy_unit': '', 'energy_value': 0, 'fat': 0, 'fat_100g': 0, 'fat_unit': '', 'fat_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'nova-group': 0, 'nova-group_100g': 0, 'nova-group_serving': 0, 'proteins': '0', 'proteins_100g': 0, 'proteins_unit': '', 'proteins_value': 0, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_unit': '', 'saturated-fat_value': 0, 'sugars': '0', 'sugars_100g': 0, 'sugars_unit': '', 'sugars_value': 0, 'serving': '', 'calories': '', 'fats': '', 'sodium': '', 'fibers': '', 'serving_unit': '', 'calories_unit': None, 'fats_unit': '', 'sodium_unit': '', 'fibers_unit': ''}",None,Penne Noodles,1,Box,None,1.84,262,1,0,[],[],FALSE,no,linked,FOOD,[],[],[],,259&Penne Noodles&,1
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260,%072554298837%,KitKat Waffle Cones,,[],[],[],[],,"{'carbohydrates': 43.617021276596, 'carbohydrates_100g': 43.617021276596, 'carbohydrates_unit': 'g', 'carbohydrates_value': 43.617021276596, 'energy': 1251, 'energy-kcal': 298.93617021277, 'energy-kcal_100g': 298.93617021277, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 298.93617021277, 'energy-kcal_value_computed': 300.000000000005, 'energy_100g': 1251, 'energy_unit': 'kcal', 'energy_value': 298.93617021277, 'fat': 12.765957446809, 'fat_100g': 12.765957446809, 'fat_unit': 'g', 'fat_value': 12.765957446809, 'fiber': 1.063829787234, 'fiber_100g': 1.063829787234, 'fiber_unit': 'g', 'fiber_value': 1.063829787234, 'proteins': 2.1276595744681, 'proteins_100g': 2.1276595744681, 'proteins_unit': 'g', 'proteins_value': 2.1276595744681, 'salt': 0.2659574468085, 'salt_100g': 0.2659574468085, 'salt_unit': 'g', 'salt_value': 0.2659574468085, 'saturated-fat': 10.63829787234, 'saturated-fat_100g': 10.63829787234, 'saturated-fat_unit': 'g', 'saturated-fat_value': 10.63829787234, 'sodium': 0.1063829787234, 'sodium_100g': 0.1063829787234, 'sodium_unit': 'g', 'sodium_value': 0.1063829787234, 'sugars': 28.723404255319, 'sugars_100g': 28.723404255319, 'sugars_unit': 'g', 'sugars_value': 28.723404255319}",,KitKat Waffle Cones,0,Box,,6.73,263,0,0,[],[],FALSE,no,single,FOOD,[],[],[],,260&KitKat Waffle Cones&None,3
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265,%082011570727%,Samoas,"girl scouts,Little Brownie Bakers,Ferrero","['girl-scouts', 'little-brownie-bakers', 'ferrero']","['Sandwich cookies', 'Biscuits', 'Cookie with chocolate covering', 'Biscuits/Cookies (Shelf Stable)', 'Cookies with chocolate and coconut']","['en:sugary-snacks', 'en:biscuits-and-cakes']","['en:sugar', 'en:added-sugar', 'en:disaccharide', 'en:vegetable-oil', 'en:oil-and-fat', 'en:vegetable-oil-and-fat', 'en:flour', 'en:corn-syrup', 'en:coconut', 'en:fruit', 'en:sweetened-condensed-milk', 'en:dairy', 'en:milk', 'en:condensed-milk', 'en:e420', 'en:cocoa', 'en:plant', 'en:e422', 'en:invert-sugar', 'en:monosaccharide', 'en:cocoa-processed-with-alkali', 'en:corn-starch', 'en:starch', 'en:salt', 'en:e150a', 'en:dextrose', 'en:glucose', 'en:natural-and-artificial-flavouring', 'en:flavouring', 'en:natural-flavouring', 'en:artificial-flavouring', 'en:soya-lecithin', 'en:e322', 'en:e322i', 'en:e492', 'en:raising-agent', 'en:e407', 'en:palm-kernel-oil', 'en:palm-kernel-oil-and-fat', 'en:palm-oil', 'en:palm-oil-and-fat', 'en:soya-oil', 'en:wheat-flour', 'en:cereal', 'en:wheat', 'en:cereal-flour', 'en:e375', 'en:reduced-iron', 'en:minerals', 'en:iron', 'en:thiamin', 'en:e101', 'en:folic-acid', 'en:folate', 'en:e500ii', 'en:e500', 'en:e341i', 'en:e341', 'en:thiamin-mononitrate']","sugar, vegetable oil (palm kernel, palm oil, soybean oil), enriched flour (wheat flour, niacin, reduced iron, vitamin b1 [thiamin mononitrate], vitamin b2 [riboflavin], folic acid), corn syrup, coconut, sweetened condensed milk (milk, sugar), sorbitol, cocoa, glycerin, invert sugar, cocoa processed with alkali, cornstarch, salt, caramel color, dextrose, natural and artificial flavors, soy lecithin, sorbitan tristearate, leavening (baking soda, monocalcium phosphate), carrageenan","{'added-sugars': 10, 'added-sugars_100g': 34.5, 'added-sugars_serving': 10, 'added-sugars_unit': 'g', 'added-sugars_value': 10, 'calcium': 0.01, 'calcium_100g': 0.0345, 'calcium_serving': 0.01, 'calcium_unit': 'mg', 'calcium_value': 10, 'carbohydrates': 18, 'carbohydrates_100g': 62.1, 'carbohydrates_serving': 18, 'carbohydrates_unit': 'g', 'carbohydrates_value': 18, 'cholesterol': 0, 'cholesterol_100g': 0, 'cholesterol_serving': 0, 'cholesterol_unit': 'mg', 'cholesterol_value': 0, 'energy': 628, 'energy-kcal': 150, 'energy-kcal_100g': 517, 'energy-kcal_serving': 150, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 150, 'energy-kcal_value_computed': 148, 'energy_100g': 2170, 'energy_serving': 628, 'energy_unit': 'kcal', 'energy_value': 150, 'fat': 8, 'fat_100g': 27.6, 'fat_serving': 8, 'fat_unit': 'g', 'fat_value': 8, 'fiber': 0, 'fiber_100g': 0, 'fiber_serving': 0, 'fiber_unit': 'g', 'fiber_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 2.96875, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 2.96875, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 2.96875, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 2.96875, 'iron': 0.0006, 'iron_100g': 0.00207, 'iron_label': '0', 'iron_serving': 0.0006, 'iron_unit': 'mg', 'iron_value': 0.6, 'monounsaturated-fat': 1, 'monounsaturated-fat_100g': 3.45, 'monounsaturated-fat_label': '0', 'monounsaturated-fat_serving': 1, 'monounsaturated-fat_unit': 'g', 'monounsaturated-fat_value': 1, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'nutrition-score-fr': 26, 'nutrition-score-fr_100g': 26, 'polyunsaturated-fat': 1, 'polyunsaturated-fat_100g': 3.45, 'polyunsaturated-fat_label': '0', 'polyunsaturated-fat_serving': 1, 'polyunsaturated-fat_unit': 'g', 'polyunsaturated-fat_value': 1, 'potassium': 0.045, 'potassium_100g': 0.155, 'potassium_serving': 0.045, 'potassium_unit': 'mg', 'potassium_value': 45, 'proteins': 1, 'proteins_100g': 3.45, 'proteins_serving': 1, 'proteins_unit': 'g', 'proteins_value': 1, 'salt': 0.15, 'salt_100g': 0.517, 'salt_serving': 0.15, 'salt_unit': 'mg', 'salt_value': 150, 'saturated-fat': 6, 'saturated-fat_100g': 20.7, 'saturated-fat_serving': 6, 'saturated-fat_unit': 'g', 'saturated-fat_value': 6, 'sodium': 0.06, 'sodium_100g': 0.207, 'sodium_serving': 0.06, 'sodium_unit': 'mg', 'sodium_value': 60, 'sugars': 11, 'sugars_100g': 37.9, 'sugars_serving': 11, 'sugars_unit': 'g', 'sugars_value': 11, 'trans-fat': 0, 'trans-fat_100g': 0, 'trans-fat_serving': 0, 'trans-fat_unit': 'g', 'trans-fat_value': 0, 'vitamin-d': 0, 'vitamin-d_100g': 0, 'vitamin-d_serving': 0, 'vitamin-d_unit': 'µg', 'vitamin-d_value': 0}","Box, Mixed plastic-bag, Paper-box",Samoas,0,g,7.5oz (212g),0,264,None,0,[],[],FALSE,no,single,,[],[],[],,"265&Samoas&girl scouts,Little Brownie Bakers,Ferrero",1
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268,%089036422802%,Vanilla syrup,"Torani, R. Torre & Co.Inc.","['torani', 'r-torre-co-inc']","['Sweeteners', 'Syrups', 'Simple syrups']",[],"['en:cane-sugar', 'en:added-sugar', 'en:disaccharide', 'en:sugar', 'en:water', 'en:vanilla-extract-with-other-natural-flavors', 'en:e211', 'en:e202', 'en:e330', 'en:to-preserve-freshness']","Pure cane sugar, water, vanilla extract with other natural flavors, sodium benzoate (to preserve freshness), potassium sorbate (to preserve freshness), citric acid.","{'carbohydrates': 66.6667, 'carbohydrates_100g': 66.6667, 'carbohydrates_serving': 20, 'carbohydrates_unit': 'g', 'carbohydrates_value': 66.6667, 'energy': 1116, 'energy-kcal': 266.6667, 'energy-kcal_100g': 266.6667, 'energy-kcal_serving': 80, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 266.6667, 'energy-kcal_value_computed': 266.6668, 'energy_100g': 1116, 'energy_serving': 335, 'energy_unit': 'kcal', 'energy_value': 266.6667, 'fat': 0, 'fat_100g': 0, 'fat_serving': 0, 'fat_unit': 'g', 'fat_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'nova-group': 3, 'nova-group_100g': 3, 'nova-group_serving': 3, 'nutrition-score-fr': 13, 'nutrition-score-fr_100g': 13, 'proteins': 0, 'proteins_100g': 0, 'proteins_serving': 0, 'proteins_unit': 'g', 'proteins_value': 0, 'salt': 0, 'salt_100g': 0, 'salt_serving': 0, 'salt_unit': 'g', 'salt_value': 0, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_serving': 0, 'saturated-fat_unit': 'g', 'saturated-fat_value': 0, 'sodium': 0, 'sodium_100g': 0, 'sodium_serving': 0, 'sodium_unit': 'g', 'sodium_value': 0, 'sugars': 66.6667, 'sugars_100g': 66.6667, 'sugars_serving': 20, 'sugars_unit': 'g', 'sugars_value': 66.6667}","en:pet-bottle, en:pet-bottle",Vanilla syrup,0,,,,12,None,0,[],[],FALSE,no,single,,[],[],[],,"268&Vanilla syrup&Torani, R. Torre & Co.Inc.",1
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269,%X002TJQR5D%,Torani Raspberry Syrup,,[],[],[],[],,"{'carbohydrates': 0, 'carbohydrates_100g': 0, 'carbohydrates_unit': '', 'carbohydrates_value': 0, 'energy': 0, 'energy-kcal': 0, 'energy-kcal_100g': 0, 'energy-kcal_unit': '', 'energy-kcal_value': 0, 'energy-kcal_value_computed': 0, 'energy_100g': 0, 'energy_unit': '', 'energy_value': 0, 'fat': 0, 'fat_100g': 0, 'fat_unit': '', 'fat_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'nova-group': 0, 'nova-group_100g': 0, 'nova-group_serving': 0, 'proteins': 0, 'proteins_100g': 0, 'proteins_unit': '', 'proteins_value': 0, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_unit': '', 'saturated-fat_value': 0, 'sugars': 0, 'sugars_100g': 0, 'sugars_unit': '', 'sugars_value': 0}",,Torani Raspberry Syrup,0,,,,13,None,0,[],[],FALSE,no,single,,[],[],[],,269&Torani Raspberry Syrup&None,1
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270,%041789002328%,Maruchan instant lunch beef ramen noodle baby count,"Maruchan, Maruchan Inc.","['maruchan', 'maruchan-inc']","['Meals', 'Soups']","['en:composite-foods', 'en:one-dish-meals']","['en:salt', 'en:sugar', 'en:added-sugar', 'en:disaccharide', 'en:contains-less-than-1-of', 'en:e621', 'en:lactose', 'en:soy-sauce', 'en:sauce', 'en:e150a', 'en:spice', 'en:condiment', 'en:beef-fat', 'en:oil-and-fat', 'en:fat', 'en:animal-fat', 'en:yeast-extract', 'en:yeast', 'en:hydrolyzed-corn', 'en:wheat', 'en:cereal', 'en:soy-protein', 'en:protein', 'en:plant-protein', 'en:vegetable', 'en:natural-flavouring', 'en:flavouring', 'en:e631', 'en:e627', 'en:maltodextrin', 'en:soya-bean', 'en:legume', 'en:pulse', 'en:soya', 'en:onion', 'en:root-vegetable', 'en:onion-family-vegetable', 'en:garlic', 'en:chives']","salt, sugar, contains less than 1% of: maltodextrin, monosodium glutamate, lactose, dehydrated soy sauce (wheat, soybeans, salt), caramel color, spices, beef fat,yeast extract, hydrolyzed corn, wheat and soy protein, dehydrated vegetables (onion, garlic, chive), natural flavor, disodium inosinate, disodium guanylate.","{'calcium': 0.047, 'calcium_100g': 0.047, 'calcium_serving': 0.0202, 'calcium_unit': 'mg', 'calcium_value': 47, 'carbohydrates': 62.790697674419, 'carbohydrates_100g': 62.790697674419, 'carbohydrates_serving': 27, 'carbohydrates_unit': 'g', 'carbohydrates_value': 62.790697674419, 'cholesterol': 0, 'cholesterol_100g': 0, 'cholesterol_serving': 0, 'cholesterol_unit': 'mg', 'cholesterol_value': 0, 'energy': 1849, 'energy-kcal': 441.86046511628, 'energy-kcal_100g': 441.86046511628, 'energy-kcal_serving': 190, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 441.86046511628, 'energy-kcal_value_computed': 439.534883720933, 'energy_100g': 1849, 'energy_serving': 795, 'energy_unit': 'kcal', 'energy_value': 441.86046511628, 'fat': 16.279069767442, 'fat_100g': 16.279069767442, 'fat_serving': 7, 'fat_unit': 'g', 'fat_value': 16.279069767442, 'fiber': 2.3255813953488, 'fiber_100g': 2.3255813953488, 'fiber_serving': 1, 'fiber_unit': 'g', 'fiber_value': 2.3255813953488, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 1.453488372093, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 1.453488372093, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 1.453488372093, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 1.453488372093, 'iron': 0.00335, 'iron_100g': 0.00335, 'iron_serving': 0.00144, 'iron_unit': 'mg', 'iron_value': 3.35, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'nutrition-score-fr': 21, 'nutrition-score-fr_100g': 21, 'proteins': 9.3023255813953, 'proteins_100g': 9.3023255813953, 'proteins_serving': 4, 'proteins_unit': 'g', 'proteins_value': 9.3023255813953, 'salt': 4.186046511628, 'salt_100g': 4.186046511628, 'salt_serving': 1.8, 'salt_unit': 'g', 'salt_value': 4.186046511628, 'saturated-fat': 8.1395348837209, 'saturated-fat_100g': 8.1395348837209, 'saturated-fat_serving': 3.5, 'saturated-fat_unit': 'g', 'saturated-fat_value': 8.1395348837209, 'sodium': 1.6744186046512, 'sodium_100g': 1.6744186046512, 'sodium_serving': 0.72, 'sodium_unit': 'g', 'sodium_value': 1.6744186046512, 'sugars': 2.3255813953488, 'sugars_100g': 2.3255813953488, 'sugars_serving': 1, 'sugars_unit': 'g', 'sugars_value': 2.3255813953488, 'trans-fat': 0, 'trans-fat_100g': 0, 'trans-fat_serving': 0, 'trans-fat_unit': 'g', 'trans-fat_value': 0, 'vitamin-a': 6.99e-05, 'vitamin-a_100g': 6.99e-05, 'vitamin-a_serving': 3.01e-05, 'vitamin-a_unit': 'IU', 'vitamin-a_value': 233, 'vitamin-c': 0, 'vitamin-c_100g': 0, 'vitamin-c_serving': 0, 'vitamin-c_unit': 'mg', 'vitamin-c_value': 0}",,Maruchan instant lunch beef ramen noodle baby count,0,,,,4,None,0,[],[],FALSE,no,single,,[],[],[],,"270&Maruchan instant lunch beef ramen noodle baby count&Maruchan, Maruchan Inc.",4
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268,%089036422802%,Vanilla syrup,"Torani, R. Torre & Co.Inc.","['torani', 'r-torre-co-inc']","['Sweeteners', 'Syrups', 'Simple syrups']",[],"['en:cane-sugar', 'en:added-sugar', 'en:disaccharide', 'en:sugar', 'en:water', 'en:vanilla-extract-with-other-natural-flavors', 'en:e211', 'en:e202', 'en:e330', 'en:to-preserve-freshness']","Pure cane sugar, water, vanilla extract with other natural flavors, sodium benzoate (to preserve freshness), potassium sorbate (to preserve freshness), citric acid.","{'carbohydrates': 66.6667, 'carbohydrates_100g': 66.6667, 'carbohydrates_serving': 20, 'carbohydrates_unit': 'g', 'carbohydrates_value': 66.6667, 'energy': 1116, 'energy-kcal': 266.6667, 'energy-kcal_100g': 266.6667, 'energy-kcal_serving': 80, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 266.6667, 'energy-kcal_value_computed': 266.6668, 'energy_100g': 1116, 'energy_serving': 335, 'energy_unit': 'kcal', 'energy_value': 266.6667, 'fat': 0, 'fat_100g': 0, 'fat_serving': 0, 'fat_unit': 'g', 'fat_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'nova-group': 3, 'nova-group_100g': 3, 'nova-group_serving': 3, 'nutrition-score-fr': 13, 'nutrition-score-fr_100g': 13, 'proteins': 0, 'proteins_100g': 0, 'proteins_serving': 0, 'proteins_unit': 'g', 'proteins_value': 0, 'salt': 0, 'salt_100g': 0, 'salt_serving': 0, 'salt_unit': 'g', 'salt_value': 0, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_serving': 0, 'saturated-fat_unit': 'g', 'saturated-fat_value': 0, 'sodium': 0, 'sodium_100g': 0, 'sodium_serving': 0, 'sodium_unit': 'g', 'sodium_value': 0, 'sugars': 66.6667, 'sugars_100g': 66.6667, 'sugars_serving': 20, 'sugars_unit': 'g', 'sugars_value': 66.6667}","en:pet-bottle, en:pet-bottle",Vanilla syrup,0,,,0,12,None,0,[],[],FALSE,no,single,,[],[],[],,"268&Vanilla syrup&Torani, R. Torre & Co.Inc.",1
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269,%X002TJQR5D%,Torani Raspberry Syrup,,[],[],[],[],,"{'carbohydrates': 0, 'carbohydrates_100g': 0, 'carbohydrates_unit': '', 'carbohydrates_value': 0, 'energy': 0, 'energy-kcal': 0, 'energy-kcal_100g': 0, 'energy-kcal_unit': '', 'energy-kcal_value': 0, 'energy-kcal_value_computed': 0, 'energy_100g': 0, 'energy_unit': '', 'energy_value': 0, 'fat': 0, 'fat_100g': 0, 'fat_unit': '', 'fat_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'nova-group': 0, 'nova-group_100g': 0, 'nova-group_serving': 0, 'proteins': 0, 'proteins_100g': 0, 'proteins_unit': '', 'proteins_value': 0, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_unit': '', 'saturated-fat_value': 0, 'sugars': 0, 'sugars_100g': 0, 'sugars_unit': '', 'sugars_value': 0}",,Torani Raspberry Syrup,0,,,0,13,None,0,[],[],FALSE,no,single,,[],[],[],,269&Torani Raspberry Syrup&None,1
|
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270,%041789002328%,Maruchan instant lunch beef ramen noodle baby count,"Maruchan, Maruchan Inc.","['maruchan', 'maruchan-inc']","['Meals', 'Soups']","['en:composite-foods', 'en:one-dish-meals']","['en:salt', 'en:sugar', 'en:added-sugar', 'en:disaccharide', 'en:contains-less-than-1-of', 'en:e621', 'en:lactose', 'en:soy-sauce', 'en:sauce', 'en:e150a', 'en:spice', 'en:condiment', 'en:beef-fat', 'en:oil-and-fat', 'en:fat', 'en:animal-fat', 'en:yeast-extract', 'en:yeast', 'en:hydrolyzed-corn', 'en:wheat', 'en:cereal', 'en:soy-protein', 'en:protein', 'en:plant-protein', 'en:vegetable', 'en:natural-flavouring', 'en:flavouring', 'en:e631', 'en:e627', 'en:maltodextrin', 'en:soya-bean', 'en:legume', 'en:pulse', 'en:soya', 'en:onion', 'en:root-vegetable', 'en:onion-family-vegetable', 'en:garlic', 'en:chives']","salt, sugar, contains less than 1% of: maltodextrin, monosodium glutamate, lactose, dehydrated soy sauce (wheat, soybeans, salt), caramel color, spices, beef fat,yeast extract, hydrolyzed corn, wheat and soy protein, dehydrated vegetables (onion, garlic, chive), natural flavor, disodium inosinate, disodium guanylate.","{'calcium': 0.047, 'calcium_100g': 0.047, 'calcium_serving': 0.0202, 'calcium_unit': 'mg', 'calcium_value': 47, 'carbohydrates': 62.790697674419, 'carbohydrates_100g': 62.790697674419, 'carbohydrates_serving': 27, 'carbohydrates_unit': 'g', 'carbohydrates_value': 62.790697674419, 'cholesterol': 0, 'cholesterol_100g': 0, 'cholesterol_serving': 0, 'cholesterol_unit': 'mg', 'cholesterol_value': 0, 'energy': 1849, 'energy-kcal': 441.86046511628, 'energy-kcal_100g': 441.86046511628, 'energy-kcal_serving': 190, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 441.86046511628, 'energy-kcal_value_computed': 439.534883720933, 'energy_100g': 1849, 'energy_serving': 795, 'energy_unit': 'kcal', 'energy_value': 441.86046511628, 'fat': 16.279069767442, 'fat_100g': 16.279069767442, 'fat_serving': 7, 'fat_unit': 'g', 'fat_value': 16.279069767442, 'fiber': 2.3255813953488, 'fiber_100g': 2.3255813953488, 'fiber_serving': 1, 'fiber_unit': 'g', 'fiber_value': 2.3255813953488, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 1.453488372093, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 1.453488372093, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 1.453488372093, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 1.453488372093, 'iron': 0.00335, 'iron_100g': 0.00335, 'iron_serving': 0.00144, 'iron_unit': 'mg', 'iron_value': 3.35, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'nutrition-score-fr': 21, 'nutrition-score-fr_100g': 21, 'proteins': 9.3023255813953, 'proteins_100g': 9.3023255813953, 'proteins_serving': 4, 'proteins_unit': 'g', 'proteins_value': 9.3023255813953, 'salt': 4.186046511628, 'salt_100g': 4.186046511628, 'salt_serving': 1.8, 'salt_unit': 'g', 'salt_value': 4.186046511628, 'saturated-fat': 8.1395348837209, 'saturated-fat_100g': 8.1395348837209, 'saturated-fat_serving': 3.5, 'saturated-fat_unit': 'g', 'saturated-fat_value': 8.1395348837209, 'sodium': 1.6744186046512, 'sodium_100g': 1.6744186046512, 'sodium_serving': 0.72, 'sodium_unit': 'g', 'sodium_value': 1.6744186046512, 'sugars': 2.3255813953488, 'sugars_100g': 2.3255813953488, 'sugars_serving': 1, 'sugars_unit': 'g', 'sugars_value': 2.3255813953488, 'trans-fat': 0, 'trans-fat_100g': 0, 'trans-fat_serving': 0, 'trans-fat_unit': 'g', 'trans-fat_value': 0, 'vitamin-a': 6.99e-05, 'vitamin-a_100g': 6.99e-05, 'vitamin-a_serving': 3.01e-05, 'vitamin-a_unit': 'IU', 'vitamin-a_value': 233, 'vitamin-c': 0, 'vitamin-c_100g': 0, 'vitamin-c_serving': 0, 'vitamin-c_unit': 'mg', 'vitamin-c_value': 0}",,Maruchan instant lunch beef ramen noodle baby count,0,,,0,4,None,0,[],[],FALSE,no,single,,[],[],[],,"270&Maruchan instant lunch beef ramen noodle baby count&Maruchan, Maruchan Inc.",4
|
||||
272,%031142523850%,Parmesan Cheese,Belgioioso,['Belgioioso'],"['Dairies', 'Fermented foods', 'Fermented milk products', 'Cheeses', 'Italian cheeses', 'Parmigiano-Reggiano']","['en:milk-and-dairy-products', 'en:cheese']","['en:soured-milk', 'en:dairy', 'en:enzyme', 'en:salt']","en:soured-milk, en:dairy, en:enzyme, en:salt","{'added-sugars': 0, 'added-sugars_100g': 0, 'added-sugars_serving': 0, 'added-sugars_unit': 'g', 'added-sugars_value': 0, 'calcium': 0.2, 'calcium_100g': 0.714, 'calcium_serving': 0.2, 'calcium_unit': '% DV', 'calcium_value': 20, 'carbohydrates': '1', 'carbohydrates_100g': 3.57, 'carbohydrates_serving': 1, 'carbohydrates_unit': 'g', 'carbohydrates_value': 1, 'cholesterol': 0.025, 'cholesterol_100g': 0.0893, 'cholesterol_serving': 0.025, 'cholesterol_unit': 'mg', 'cholesterol_value': 25, 'energy': 460, 'energy-kcal': 110, 'energy-kcal_100g': 393, 'energy-kcal_serving': 110, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 110, 'energy-kcal_value_computed': 103, 'energy_100g': 1640, 'energy_serving': 460, 'energy_unit': 'kcal', 'energy_value': 110, 'fat': 7, 'fat_100g': 25, 'fat_serving': 7, 'fat_unit': 'g', 'fat_value': 7, 'fiber': 0, 'fiber_100g': 0, 'fiber_serving': 0, 'fiber_unit': 'g', 'fiber_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'iron': 0, 'iron_100g': 0, 'iron_serving': 0, 'iron_unit': '% DV', 'iron_value': 0, 'nova-group': 3, 'nova-group_100g': 3, 'nova-group_serving': 3, 'nutrition-score-fr': 18, 'nutrition-score-fr_100g': 18, 'potassium': 0, 'potassium_100g': 0, 'potassium_label': 'Potassium', 'potassium_serving': 0, 'potassium_unit': '% DV', 'potassium_value': 0, 'proteins': '9', 'proteins_100g': 32.1, 'proteins_serving': 9, 'proteins_unit': 'g', 'proteins_value': 9, 'salt': 0.625, 'salt_100g': 2.23, 'salt_serving': 0.625, 'salt_unit': 'mg', 'salt_value': 625, 'saturated-fat': 5, 'saturated-fat_100g': 17.9, 'saturated-fat_serving': 5, 'saturated-fat_unit': 'g', 'saturated-fat_value': 5, 'sodium': '0.25', 'sodium_100g': 0.893, 'sodium_serving': 0.25, 'sodium_unit': 'mg', 'sodium_value': 250, 'sugars': '0', 'sugars_100g': 0, 'sugars_serving': 0, 'sugars_unit': 'g', 'sugars_value': 0, 'trans-fat': 0, 'trans-fat_100g': 0, 'trans-fat_serving': 0, 'trans-fat_unit': 'g', 'trans-fat_value': 0, 'vitamin-d': 0, 'vitamin-d_100g': 0, 'vitamin-d_serving': 0, 'vitamin-d_unit': '% DV', 'vitamin-d_value': 0, 'serving': '', 'calories': '', 'fats': '', 'fibers': '', 'serving_unit': '', 'calories_unit': None, 'fats_unit': '', 'fibers_unit': ''}",None,Parmesan Cheese,0,None,8 oz,5.42,273,None,0,[],[],FALSE,no,single,,[],[],[],,272&Parmesan Cheese&Belgioioso,1
|
||||
273,%078742132280%,Potato Salad,,[],['Salted snacks'],[],"['en:potato', 'en:vegetable', 'en:root-vegetable', 'en:tuber', 'en:mayonnaise', 'en:sauce', 'en:water', 'en:sugar', 'en:added-sugar', 'en:disaccharide', 'en:celery', 'en:stalk-vegetable', 'en:sweet-pickle-relish', 'en:onion', 'en:onion-family-vegetable', 'en:red-bell-pepper', 'en:fruit-vegetable', 'en:bell-pepper', 'en:mustard', 'en:salt', 'en:vinegar', 'en:modified-corn-starch', 'en:starch', 'en:corn-starch', 'en:modified-starch', 'en:soya-oil', 'en:oil-and-fat', 'en:vegetable-oil-and-fat', 'en:vegetable-oil', 'en:black-pepper', 'en:seed', 'en:pepper', 'en:e202', 'en:e211', 'en:white-pepper', 'en:e415', 'en:parsley', 'en:herb', 'en:leaf-vegetable', 'en:egg-yolk', 'en:egg', 'en:cucumber', 'en:mustard-seed', 'en:condiment', 'en:spice', 'en:celery-seed', 'en:e509', 'en:natural-flavouring', 'en:flavouring', 'en:turmeric', 'en:dehydrated-onion', 'en:paprika', 'en:e160b', 'en:garlic', 'en:e385', 'en:e330', 'en:preservative', 'en:colour']","Potatoes, mayonnaise (soybean oil, water, egg yolks, vinegar, salt), water, sugar, celery, sweet pickle relish (cucumber, sugar, vinegar, salt, mustard seed, xanthan gum, celery seed, dehydrated red bell pepper, calcium chloride, natural flavoring, turmeric, dehydrated onion), onions, red bell peppers, mustard (water, vinegar, mustard seed, salt, sugar, soybean oil, turmeric, paprika, annatto extract [color], garlic, spices, xanthan gum, calcium disodium edta [preservative], natural flavor, citric acid), salt, vinegar, modified corn starch, soybean oil, black pepper, potassium sorbate (preservative), sodium benzoate (preservative), white pepper, xanthan gum, dried parsley.","{'calcium': 0, 'calcium_100g': 0, 'calcium_serving': 0, 'calcium_unit': 'mg', 'calcium_value': 0, 'carbohydrates': 20, 'carbohydrates_100g': 20, 'carbohydrates_serving': 28, 'carbohydrates_unit': 'g', 'carbohydrates_value': 20, 'cholesterol': 0.004, 'cholesterol_100g': 0.004, 'cholesterol_serving': 0.0056, 'cholesterol_unit': 'mg', 'cholesterol_value': 4, 'energy': 598, 'energy-kcal': 142.86, 'energy-kcal_100g': 142.86, 'energy-kcal_serving': 200, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 142.86, 'energy-kcal_value_computed': 150.83, 'energy_100g': 598, 'energy_serving': 837, 'energy_unit': 'kcal', 'energy_value': 142.86, 'fat': 6.43, 'fat_100g': 6.43, 'fat_serving': 9, 'fat_unit': 'g', 'fat_value': 6.43, 'fiber': 2.2, 'fiber_100g': 2.2, 'fiber_serving': 3.08, 'fiber_unit': 'g', 'fiber_value': 2.2, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 6.96849194978413, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 6.96849194978413, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 6.96849194978413, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 6.96849194978413, 'iron': 0.00103, 'iron_100g': 0.00103, 'iron_serving': 0.00144, 'iron_unit': 'mg', 'iron_value': 1.03, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'nutrition-score-fr': 4, 'nutrition-score-fr_100g': 4, 'proteins': 2.14, 'proteins_100g': 2.14, 'proteins_serving': 3, 'proteins_unit': 'g', 'proteins_value': 2.14, 'salt': 0.9253, 'salt_100g': 0.9253, 'salt_serving': 1.3, 'salt_unit': 'g', 'salt_value': 0.9253, 'saturated-fat': 1.11, 'saturated-fat_100g': 1.11, 'saturated-fat_serving': 1.55, 'saturated-fat_unit': 'g', 'saturated-fat_value': 1.11, 'sodium': 0.37012, 'sodium_100g': 0.37012, 'sodium_serving': 0.518, 'sodium_unit': 'g', 'sodium_value': 0.37012, 'sugars': 5.19, 'sugars_100g': 5.19, 'sugars_serving': 7.27, 'sugars_unit': 'g', 'sugars_value': 5.19, 'trans-fat': 0, 'trans-fat_100g': 0, 'trans-fat_serving': 0, 'trans-fat_unit': 'g', 'trans-fat_value': 0, 'vitamin-a': 0, 'vitamin-a_100g': 0, 'vitamin-a_serving': 0, 'vitamin-a_unit': 'IU', 'vitamin-a_value': 0, 'vitamin-c': 0.0067, 'vitamin-c_100g': 0.0067, 'vitamin-c_serving': 0.00938, 'vitamin-c_unit': 'mg', 'vitamin-c_value': 6.7}",,Potato Salad,0,,32 oz,0,274,None,0,[],[],FALSE,no,single,,[],[],[],,273&Potato Salad&None,1
|
||||
274,%017082013477%,Beef Steaks Original,jack-links,['jack-links'],[''],[''],"['en:beef', 'en:animal', 'en:water', 'en:salt', 'en:contains-2-and-less-of-flavors', 'en:brown-sugar', 'en:added-sugar', 'en:disaccharide', 'en:sugar', 'en:spice', 'en:condiment', 'en:e621', 'en:e250']","en:beef, en:animal, en:water, en:salt, en:contains-2-and-less-of-flavors, en:brown-sugar, en:added-sugar, en:disaccharide, en:sugar, en:spice, en:condiment, en:e621, en:e250","{'added-sugars': 1, 'added-sugars_100g': 4.35, 'added-sugars_serving': 1, 'added-sugars_unit': 'g', 'added-sugars_value': 1, 'calcium': 0.01, 'calcium_100g': 0.0435, 'calcium_serving': 0.01, 'calcium_unit': 'g', 'calcium_value': 0.01, 'carbohydrates': '1', 'carbohydrates_100g': 4.35, 'carbohydrates_serving': 1, 'carbohydrates_unit': 'g', 'carbohydrates_value': 1, 'cholesterol': 0.025, 'cholesterol_100g': 0.109, 'cholesterol_serving': 0.025, 'cholesterol_unit': 'g', 'cholesterol_value': 0.025, 'energy': 209, 'energy-kcal': 50, 'energy-kcal_100g': 217, 'energy-kcal_serving': 50, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 50, 'energy-kcal_value_computed': 53.5, 'energy_100g': 909, 'energy_serving': 209, 'energy_unit': 'kcal', 'energy_value': 50, 'fat': 1.5, 'fat_100g': 6.52, 'fat_serving': 1.5, 'fat_unit': 'g', 'fat_value': 1.5, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0, 'iron': 0.0008, 'iron_100g': 0.00348, 'iron_serving': 0.0008, 'iron_unit': 'g', 'iron_value': 0.0008, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'potassium': 0.12, 'potassium_100g': 0.522, 'potassium_serving': 0.12, 'potassium_unit': 'g', 'potassium_value': 0.12, 'proteins': '9', 'proteins_100g': 39.1, 'proteins_serving': 9, 'proteins_unit': 'g', 'proteins_value': 9, 'salt': 1.225, 'salt_100g': 5.33, 'salt_serving': 1.225, 'salt_unit': 'g', 'salt_value': 1.225, 'sodium': '0.49', 'sodium_100g': 2.13, 'sodium_serving': 0.49, 'sodium_unit': 'g', 'sodium_value': 0.49, 'sugars': '1', 'sugars_100g': 4.35, 'sugars_serving': 1, 'sugars_unit': 'g', 'sugars_value': 1, 'serving': '', 'calories': '', 'fats': '', 'fibers': '', 'serving_unit': '', 'calories_unit': None, 'fats_unit': '', 'fibers_unit': ''}",None,Beef Steaks Original,0,Box,None,6.98,275,3,0,[],[],FALSE,no,single,FOOD,[],[],[],,"jack-links&&&en:beef, en:animal, en:water, en:salt, en:contains-2-and-less-of-flavors, en:brown-sugar, en:added-sugar, en:disaccharide, en:sugar, en:spice, en:condiment, en:e621, en:e250&Beef Steaks Original",2
|
||||
@ -293,7 +293,7 @@ ROSEMARY EXTRACT AS PRESERVATVES. "DRIED","{'calcium': 0, 'calcium_serving'
|
||||
324,%q6ZO3H%,test_item,,[],[],[],[],,{},,,0,None,,0,327,0,0,[],[],FALSE,no,single,,[],[],[],,324&test_item&None,1
|
||||
326,%092644690921%,test234,,[],[],[],[],,{},,,0,,,0,329,0,0,[],[],FALSE,no,single,,[],[],[],,326&test234&None,1
|
||||
327,%1528952%,Penut MnM's,,[],[],[],[],,{},,,0,Box,,0,330,0,0,[],[],FALSE,no,single,,[],[],[],,327&Penut MnM's&None,1
|
||||
328,%test12345678%,testitemtwo,,[],[],[],[],,{},,,0,None,,,331,0,0,[],[],FALSE,no,single,,[],[],[],,328&testitemtwo&None,5
|
||||
328,%test12345678%,testitemtwo,,[],[],[],[],,{},,,0,None,,0,331,0,0,[],[],FALSE,no,single,,[],[],[],,328&testitemtwo&None,5
|
||||
329,%649632001087%,"Reichel, Dippin' Stix, Sliced Apple & Caramel",Reichel Foods Inc.,['reichel-foods-inc'],"['Plant-based foods and beverages', 'Plant-based foods', 'Fruits and vegetables based foods']",['en:fruits-and-vegetables'],"['en:apples-with-calcium-ascorbate', 'en:e330', 'en:e509', 'en:caramel-dip', 'en:sweetened-condensed-skimmed-milk', 'en:dairy', 'en:milk', 'en:condensed-milk', 'en:sweetened-condensed-milk', 'en:sugar', 'en:added-sugar', 'en:disaccharide', 'en:corn-syrup', 'en:butter', 'en:contains-2-and-less-of-water', 'en:disodium-phospahte', 'en:salt', 'en:e440a', 'en:potassium-sorbate-as-a-preservative', 'en:artificial-flavouring', 'en:flavouring', 'en:e471', 'en:e415', 'en:high-fructose-corn-syrup', 'en:monosaccharide', 'en:fructose', 'en:glucose', 'en:glucose-fructose-syrup', 'en:skimmed-milk', 'en:cream', 'en:vegetable']","Apples with calcium ascorbate, citric acid and calcium chloride. caramel dip: high fructose corn syrup, sweetened condensed skim milk (skim milk, sugar, corn syrup), sugar, corn syrup, butter (cream, salt), contains 2% or less of water, disodium phospahte, salt, pectin, potassium sorbate as a preservative, artificial flavors, mono & diglycerides (vegetable), calcium chloride, xanthan gum.","{'calcium': 0.026, 'calcium_100g': 0.026, 'calcium_serving': 0.0203, 'calcium_unit': 'mg', 'calcium_value': 26, 'carbohydrates': 29.49, 'carbohydrates_100g': 29.49, 'carbohydrates_serving': 23, 'carbohydrates_unit': 'g', 'carbohydrates_value': 29.49, 'cholesterol': 0, 'cholesterol_100g': 0, 'cholesterol_serving': 0, 'cholesterol_unit': 'mg', 'cholesterol_value': 0, 'energy': 536, 'energy-kcal': 128, 'energy-kcal_100g': 128, 'energy-kcal_serving': 99.8, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 128, 'energy-kcal_value_computed': 137.2, 'energy_100g': 536, 'energy_serving': 418, 'energy_unit': 'kcal', 'energy_value': 128, 'fat': 1.28, 'fat_100g': 1.28, 'fat_serving': 0.998, 'fat_unit': 'g', 'fat_value': 1.28, 'fiber': 1.3, 'fiber_100g': 1.3, 'fiber_serving': 1.01, 'fiber_unit': 'g', 'fiber_value': 1.3, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 0.00287224264705799, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 0.00287224264705799, 'iron': 0, 'iron_100g': 0, 'iron_serving': 0, 'iron_unit': 'mg', 'iron_value': 0, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'nutrition-score-fr': 5, 'nutrition-score-fr_100g': 5, 'proteins': 1.28, 'proteins_100g': 1.28, 'proteins_serving': 0.998, 'proteins_unit': 'g', 'proteins_value': 1.28, 'salt': 0.1125, 'salt_100g': 0.1125, 'salt_serving': 0.0878, 'salt_unit': 'mg', 'salt_value': 112.5, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_serving': 0, 'saturated-fat_unit': 'g', 'saturated-fat_value': 0, 'sodium': 0.045, 'sodium_100g': 0.045, 'sodium_serving': 0.0351, 'sodium_unit': 'mg', 'sodium_value': 45, 'sugars': 25.64, 'sugars_100g': 25.64, 'sugars_serving': 20, 'sugars_unit': 'g', 'sugars_value': 25.64, 'trans-fat': 0, 'trans-fat_100g': 0, 'trans-fat_serving': 0, 'trans-fat_unit': 'g', 'trans-fat_value': 0, 'vitamin-a': 0, 'vitamin-a_100g': 0, 'vitamin-a_serving': 0, 'vitamin-a_unit': 'IU', 'vitamin-a_value': 0, 'vitamin-c': 0.0031, 'vitamin-c_100g': 0.0031, 'vitamin-c_serving': 0.00242, 'vitamin-c_unit': 'mg', 'vitamin-c_value': 3.1}",,"Reichel, Dippin' Stix, Sliced Apple & Caramel",0,5-Pack,,5.97,332,0,0,[],[],FALSE,no,single,None,[],[],[],,"329&Reichel, Dippin' Stix, Sliced Apple & Caramel&Reichel Foods Inc.",0
|
||||
330,%850031700277%,Rest in Peach iced tea,liquid-death,['liquid-death'],"['Beverages', 'Tea-based beverages', 'Iced teas', 'Peach flavored iced teas']","['en:beverages', 'en:unsweetened-beverages']","['en:water', 'en:agave-syrup', 'en:added-sugar', 'en:disaccharide', 'en:black-tea', 'en:plant', 'en:tea', 'en:e330', 'en:natural-flavouring', 'en:flavouring', 'en:pyridoxine-hydrochloride', 'en:vitamins', 'en:vitamin-b6', 'en:cyanocobalamin', 'en:vitamin-b12', 'en:peach', 'en:fruit', 'en:prunus-species-fruit', 'en:pear', 'en:apricot']","en:water, en:agave-syrup, en:added-sugar, en:disaccharide, en:black-tea, en:plant, en:tea, en:e330, en:natural-flavouring, en:flavouring, en:pyridoxine-hydrochloride, en:vitamins, en:vitamin-b6, en:cyanocobalamin, en:vitamin-b12, en:peach, en:fruit, en:prunus-species-fruit, en:pear, en:apricot","{'carbohydrates': '7', 'carbohydrates_100g': 1.23, 'carbohydrates_serving': 7, 'carbohydrates_unit': 'g', 'carbohydrates_value': 7, 'energy': 22, 'energy-kcal': 5.2816901408451, 'energy-kcal_100g': 0.93, 'energy-kcal_serving': 5.2816901408451, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 5.2816901408451, 'energy-kcal_value_computed': 28, 'energy_100g': 3.87, 'energy_serving': 22, 'energy_unit': 'kcal', 'energy_value': 5.2816901408451, 'fat': 0, 'fat_100g': 0, 'fat_serving': 0, 'fat_unit': 'g', 'fat_value': 0, 'fiber': 0, 'fiber_100g': 0, 'fiber_serving': 0, 'fiber_unit': 'g', 'fiber_value': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 2.5, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 2.5, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 2.5, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 2.5, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'nutrition-score-fr': 2, 'nutrition-score-fr_100g': 2, 'proteins': '0', 'proteins_100g': 0, 'proteins_serving': 0, 'proteins_unit': 'g', 'proteins_value': 0, 'salt': 0.0381, 'salt_100g': 0.00671, 'salt_serving': 0.0381, 'salt_unit': 'mg', 'salt_value': 38.1, 'saturated-fat': 0, 'saturated-fat_100g': 0, 'saturated-fat_serving': 0, 'saturated-fat_unit': 'g', 'saturated-fat_value': 0, 'sodium': '0.01524', 'sodium_100g': 0.00268, 'sodium_serving': 0.01524, 'sodium_unit': 'mg', 'sodium_value': 15.24, 'sugars': '6', 'sugars_100g': 1.06, 'sugars_serving': 6, 'sugars_unit': 'g', 'sugars_value': 6, 'serving': '', 'calories': '', 'fats': '', 'fibers': '', 'serving_unit': '', 'calories_unit': None, 'fats_unit': '', 'fibers_unit': ''}",Aluminium,Rest in Peach iced tea,0,None,None,0,333,None,0,[],[],FALSE,no,single,FOOD,[],[],[],,330&Rest in Peach iced tea&liquid-death,0
|
||||
331,%040000588924%,Peanut Butter M&M Minis,Mars,['mars'],[],[],"['en:milk-chocolate', 'en:chocolate', 'en:sugar', 'en:added-sugar', 'en:disaccharide', 'en:peanut-paste', 'en:nut', 'en:peanut', 'en:palm-oil', 'en:oil-and-fat', 'en:vegetable-oil-and-fat', 'en:palm-oil-and-fat', 'en:sunflower-vegetable-oil-oils', 'en:hydrogenated-palm-kernel-oil', 'en:palm-kernel-oil-and-fat', 'en:palm-kernel-oil', 'en:milk', 'en:dairy', 'en:lactose', 'en:milkfat', 'en:fat', 'en:soya-lecithin', 'en:e322', 'en:e322i', 'en:salt', 'en:natural-flavouring', 'en:flavouring', 'en:partially-defatted-peanues', 'en:co-butter']","milk chocolate (sugar: co butter, chocolate, milk, lactose, peanuts, milkfat, soy lecithin, salt, natural flavor), sugar, peanut butter (partially defatted peanues, palm oil), vegetable oil palm and sunflower oils) and/or hydrogenated palm kernel oil","{'added-sugars': 14, 'added-sugars_100g': 45.2, 'added-sugars_serving': 14, 'added-sugars_unit': 'g', 'added-sugars_value': 14, 'carbohydrates': 17, 'carbohydrates_100g': 54.8, 'carbohydrates_serving': 17, 'carbohydrates_unit': 'g', 'carbohydrates_value': 17, 'energy': 669, 'energy-kcal': 160, 'energy-kcal_100g': 516, 'energy-kcal_serving': 160, 'energy-kcal_unit': 'kcal', 'energy-kcal_value': 160, 'energy-kcal_value_computed': 163, 'energy_100g': 2160, 'energy_serving': 669, 'energy_unit': 'kcal', 'energy_value': 160, 'fat': 9, 'fat_100g': 29, 'fat_serving': 9, 'fat_unit': 'g', 'fat_value': 9, 'fiber': 1, 'fiber_100g': 3.23, 'fiber_serving': 1, 'fiber_unit': 'g', 'fiber_value': 1, 'fruits-vegetables-legumes-estimate-from-ingredients_100g': 0, 'fruits-vegetables-legumes-estimate-from-ingredients_serving': 0, 'fruits-vegetables-nuts-estimate-from-ingredients_100g': 12.181712962963, 'fruits-vegetables-nuts-estimate-from-ingredients_serving': 12.181712962963, 'iron': 0.0004, 'iron_100g': 0.00129, 'iron_serving': 0.0004, 'iron_unit': 'g', 'iron_value': 0.0004, 'nova-group': 4, 'nova-group_100g': 4, 'nova-group_serving': 4, 'potassium': 0.1, 'potassium_100g': 0.323, 'potassium_serving': 0.1, 'potassium_unit': 'g', 'potassium_value': 0.1, 'proteins': 3, 'proteins_100g': 9.68, 'proteins_serving': 3, 'proteins_unit': 'g', 'proteins_value': 3, 'salt': 0.1625, 'salt_100g': 0.524, 'salt_serving': 0.1625, 'salt_unit': 'g', 'salt_value': 0.1625, 'saturated-fat': 4.5, 'saturated-fat_100g': 14.5, 'saturated-fat_serving': 4.5, 'saturated-fat_unit': 'g', 'saturated-fat_value': 4.5, 'sodium': 0.065, 'sodium_100g': 0.21, 'sodium_serving': 0.065, 'sodium_unit': 'g', 'sodium_value': 0.065, 'sugars': 15, 'sugars_100g': 48.4, 'sugars_serving': 15, 'sugars_unit': 'g', 'sugars_value': 15, 'vitamin-a': 0, 'vitamin-a_100g': 0, 'vitamin-a_serving': 0, 'vitamin-a_unit': 'g', 'vitamin-a_value': 0, 'vitamin-d': 0, 'vitamin-d_100g': 0, 'vitamin-d_serving': 0, 'vitamin-d_unit': 'g', 'vitamin-d_value': 0}",,Peanut Butter M&M Minis,0,,,0,334,None,0,[],[],FALSE,no,single,,[],[],[],,331&Peanut Butter M&M Minis&Mars,0
|
||||
|
||||
|
Can't render this file because it is too large.
|
19
MyDataclasses,py
Normal file
19
MyDataclasses,py
Normal file
@ -0,0 +1,19 @@
|
||||
from dataclasses import dataclass, field
|
||||
import json
|
||||
from database import lst2pgarr
|
||||
|
||||
@dataclass
|
||||
class LogisticsInfoPayload:
|
||||
barcode: str
|
||||
primary_location: str
|
||||
auto_issue_location: str
|
||||
dynamic_locations: dict = field(default_factory=dict)
|
||||
location_data: dict = field(default_factory=dict)
|
||||
quantity_on_hand: float = 0.0
|
||||
|
||||
def payload(self):
|
||||
if self.barcode or self.primary_location or self.auto_issue == None:
|
||||
raise Exception("have to set values")
|
||||
return (self.barcode, self.primary_location, self.auto_issue_location,
|
||||
json.dumps(self.dynamic_locations), json.dumps(self.location_data),
|
||||
self.quantity_on_hand)
|
||||
BIN
__pycache__/database.cpython-312.pyc
Normal file
BIN
__pycache__/database.cpython-312.pyc
Normal file
Binary file not shown.
Binary file not shown.
@ -6,7 +6,7 @@ password = test
|
||||
port = 5432
|
||||
|
||||
[manage]
|
||||
sites = Backpack,main
|
||||
sites = main
|
||||
first_setup = False
|
||||
signup_enabled = False
|
||||
|
||||
|
||||
474
database.py
Normal file
474
database.py
Normal file
@ -0,0 +1,474 @@
|
||||
class DatabaseError(Exception):
|
||||
def __init__(self, message, payload=[], sql=""):
|
||||
super().__init__(message)
|
||||
self.payload = payload
|
||||
self.message = message
|
||||
self.sql = sql
|
||||
|
||||
def __str__(self):
|
||||
return f"DatabaseError(message='{self.message}', payload={self.payload}, sql='{self.sql}')"
|
||||
|
||||
def tupleDictionaryFactory(columns, row):
|
||||
columns = [desc[0] for desc in columns]
|
||||
return dict(zip(columns, row))
|
||||
|
||||
def lst2pgarr(alist):
|
||||
return '{' + ','.join(alist) + '}'
|
||||
|
||||
# -------------------------
|
||||
# Insert Database Functions
|
||||
# -------------------------
|
||||
def insertLoginsTuple(conn, payload, convert=False):
|
||||
"""Inserts payload into logins table
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
payload (tuple): (username[str], password[str], email[str])
|
||||
convert (bool, optional): deteremines if to return tuple as dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted login
|
||||
"""
|
||||
login = ()
|
||||
with open(f"sql/INSERT/insertLoginsTuple.sql", "r+") as file:
|
||||
sql = file.read()
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
login = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
login = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
|
||||
return login
|
||||
|
||||
def insertGroupsTuple(conn, site, payload, convert=False):
|
||||
"""insert into groups table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (stre):
|
||||
payload (tuple): (name[str], description[str], included_items[lst2pgarr], group_type[str])
|
||||
convert (bool, optional): Determines if to return tuple as a dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
group = ()
|
||||
with open(f"sql/INSERT/insertGroupsTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
group = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
group = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return group
|
||||
|
||||
def insertLogisticsInfoTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into logistics_info table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (barcode[str], primary_location[str], auto_issue_location[str], dynamic_locations[jsonb],
|
||||
location_data[jsonb], quantity_on_hand[float])
|
||||
convert (bool, optional): Determines if to return tuple as dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
logistics_info = ()
|
||||
with open(f"sql/INSERT/insertLogisticsInfoTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
logistics_info = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
logistics_info = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
|
||||
return logistics_info
|
||||
|
||||
def insertItemInfoTuple(conn, site, payload, convert=False):
|
||||
"""inserts payload into the item_info table of site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site_name (str):
|
||||
payload (tuple): (barcode[str], linked_items[lst2pgarr], shopping_lists[lst2pgarr], recipes[lst2pgarr], groups[lst2pgarr],
|
||||
packaging[str], uom[str], cost[float], safety_stock[float], lead_time_days[float], ai_pick[bool])
|
||||
convert (bool optional): Determines if to return tuple as dictionary. DEFAULTS to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
item_info = ()
|
||||
with open(f"sql/INSERT/insertItemInfoTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
item_info = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
item_info = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return item_info
|
||||
|
||||
def insertFoodInfoTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into food_info table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (_type_): (ingrediants[lst2pgarr], food_groups[lst2pgarr], nutrients[jsonstr], expires[bool])
|
||||
convert (bool, optional): Determines if to return tuple as dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
food_info = ()
|
||||
with open(f"sql/INSERT/insertFoodInfoTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
food_info = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
food_info = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return food_info
|
||||
|
||||
def insertBrandsTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into brands table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (brand_name[str], )
|
||||
convert (bool, optional): Determines if the tuple is returned as a dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
brand = ()
|
||||
with open(f"sql/INSERT/insertBrandsTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
brand = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
brand = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return brand
|
||||
|
||||
def insertItemTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into items table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (barcode[str], item_name[str], brand[int], description[str],
|
||||
tags[lst2pgarr], links[jsonb], item_info_id[int], logistics_info_id[int],
|
||||
food_info_id[int], row_type[str], item_type[str], search_string[str])
|
||||
convert (bool, optional): Determines if to return tuple as a dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
item = ()
|
||||
with open(f"sql/INSERT/insertItemTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
item = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
item = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
|
||||
return item
|
||||
|
||||
def insertItemLocationsTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into item_locations table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (part_id[int], location_id[int], quantity_on_hand[float], cost_layers[lst2pgarr])
|
||||
convert (bool, optional): Determines if to return tuple as dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
location = ()
|
||||
with open(f"sql/INSERT/insertItemLocationsTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
location = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
location = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return location
|
||||
|
||||
def insertCostLayersTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into cost_layers table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (aquisition_date[timestamp], quantity[float], cost[float], currency_type[str], expires[timestamp/None], vendor[int])
|
||||
convert (bool, optional): Determines if tuple is returned as a dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
cost_layer = ()
|
||||
with open(f"sql/INSERT/insertCostLayersTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
cost_layer = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
cost_layer = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return cost_layer
|
||||
|
||||
def insertTransactionsTuple(conn, site, payload, convert=False):
|
||||
"""insert payload into transactions table for site
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (timestamp[timestamp], logistics_info_id[int], barcode[str], name[str],
|
||||
transaction_type[str], quantity[float], description[str], user_id[int], data[jsonb])
|
||||
convert (bool, optional): Determines if to return tuple as dictionary. Defaults to False.
|
||||
|
||||
Raises:
|
||||
DatabaseError:
|
||||
|
||||
Returns:
|
||||
tuple or dict: inserted tuple
|
||||
"""
|
||||
transaction = ()
|
||||
with open(f"sql/INSERT/insertTransactionsTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
transaction = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
transaction = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return transaction
|
||||
|
||||
# -------------------------
|
||||
# Update Database Functions
|
||||
# -------------------------
|
||||
def updateItemLocation(conn, site, payload):
|
||||
item_location = ()
|
||||
with open(f"sql/updateItemLocation.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows:
|
||||
item_location = rows
|
||||
except Exception as error:
|
||||
return error
|
||||
return item_location
|
||||
|
||||
def updateCostLayersTuple(conn, site, payload):
|
||||
"""_summary_
|
||||
|
||||
Args:
|
||||
conn (_type_): _description_
|
||||
site (_type_): _description_
|
||||
payload (_type_): _description_
|
||||
|
||||
Returns:
|
||||
_type_: _description_
|
||||
"""
|
||||
cost_layer = ()
|
||||
with open(f"sql/updateCostLayersTuple.sql", "r+") as file:
|
||||
sql = file.read().replace("%%site_name%%", site)
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows:
|
||||
cost_layer = rows
|
||||
except Exception as error:
|
||||
return error
|
||||
return cost_layer
|
||||
|
||||
# -------------------------
|
||||
# Delete Database Functions
|
||||
# -------------------------
|
||||
def deleteCostLayersTuple(conn, site_name, payload):
|
||||
"""deletes tuple from cost_layers table for site_name
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect): Postgresql Connector
|
||||
site (str):
|
||||
payload (tuple): (cost_layer_id, )
|
||||
|
||||
Raises:
|
||||
DatabaseError: returns all database errors and encompasses payload and sql info.
|
||||
|
||||
Returns:
|
||||
tuple: deleted row returned as a tuple
|
||||
"""
|
||||
cost_layer = ()
|
||||
sql = f"WITH deleted_row AS (DELETE FROM {site_name}_cost_layers WHERE id=%s RETURNING *) SELECT * FROM deleted_row;"
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows:
|
||||
cost_layer = rows
|
||||
except Exception as error:
|
||||
raise DatabaseError(error, payload, sql)
|
||||
return cost_layer
|
||||
|
||||
# -------------------------
|
||||
# Select Database Functions
|
||||
# -------------------------
|
||||
def selectItemLocationsTuple(conn, site_name, payload, convert=False):
|
||||
"""select a single tuple from ItemLocations table for site_name
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect):
|
||||
site_name (str):
|
||||
payload (tuple): [item_id, location_id]
|
||||
convert (bool): defaults to False, used to determine return of tuple/dict
|
||||
|
||||
Returns:
|
||||
tuple: the row that was returned from the table
|
||||
"""
|
||||
item_locations = ()
|
||||
select_item_location_sql = f"SELECT * FROM {site_name}_item_locations WHERE part_id = %s AND location_id = %s;"
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(select_item_location_sql, payload)
|
||||
rows = cur.fetchone()
|
||||
if rows and convert:
|
||||
item_locations = tupleDictionaryFactory(cur.description, rows)
|
||||
elif rows and not convert:
|
||||
item_locations = rows
|
||||
except Exception as error:
|
||||
return error
|
||||
|
||||
return item_locations
|
||||
|
||||
def selectCostLayersTuple(conn, site_name, payload, convert=False):
|
||||
"""select a single or series of cost layers from the database for site_name
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect):
|
||||
site_name (str):
|
||||
payload (tuple): (item_locations_id, )
|
||||
convert (bool): defaults to False, used for determining return as tuple/dict
|
||||
|
||||
Returns:
|
||||
list: list of tuples/dict from the cost_layers table for site_name
|
||||
"""
|
||||
cost_layers = ()
|
||||
select_cost_layers_sql = f"SELECT cl.* FROM {site_name}_item_locations il JOIN {site_name}_cost_layers cl ON cl.id = ANY(il.cost_layers) where il.id=%s;"
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(select_cost_layers_sql, payload)
|
||||
rows = cur.fetchall()
|
||||
if rows and convert:
|
||||
cost_layers = rows
|
||||
cost_layers = [tupleDictionaryFactory(cur.description, layer) for layer in rows]
|
||||
elif rows and not convert:
|
||||
cost_layers = rows
|
||||
except Exception as error:
|
||||
return error
|
||||
return cost_layers
|
||||
|
||||
# -------------------------
|
||||
# Custom Database Functions
|
||||
# -------------------------
|
||||
def getItemLocation(conn, site_name, payload):
|
||||
"""This functions returns the bundled ItemLocation of item_id and location_id, with the cost_layers pulled from the database as tuples.
|
||||
|
||||
Args:
|
||||
conn (_T_connector@connect):
|
||||
site_name (str):
|
||||
payload (tuple): [item_id, location_id]
|
||||
|
||||
Returns:
|
||||
list: list of the itemLocation with cost_layers selected
|
||||
|
||||
"""
|
||||
item_location = list(selectItemLocationsTuple(conn, site_name, payload))
|
||||
print(item_location)
|
||||
item_location[4] = selectCostLayersTuple(conn, site_name, (item_location[0], ))
|
||||
|
||||
return item_location
|
||||
2
main.py
2
main.py
@ -400,6 +400,7 @@ def delete_site(site_name):
|
||||
drop_table(f'sites/{site_name}/sql/drop/item_info.sql')
|
||||
drop_table(f'sites/{site_name}/sql/drop/items.sql')
|
||||
drop_table(f'sites/{site_name}/sql/drop/groups.sql')
|
||||
drop_table(f'sites/{site_name}/sql/drop/cost_layers.sql')
|
||||
drop_table(f'sites/{site_name}/sql/drop/linked_items.sql')
|
||||
drop_table(f'sites/{site_name}/sql/drop/transactions.sql')
|
||||
drop_table(f'sites/{site_name}/sql/drop/brands.sql')
|
||||
@ -421,6 +422,7 @@ def create_site(site_name, admin_user: tuple, default_zone, default_primary, def
|
||||
create_table(f"sites/{site_name}/sql/create/roles.sql")
|
||||
|
||||
create_table(f'sites/{site_name}/sql/create/groups.sql')
|
||||
create_table(f'sites/{site_name}/sql/create/cost_layers.sql')
|
||||
create_table(f'sites/{site_name}/sql/create/linked_items.sql')
|
||||
create_table(f'sites/{site_name}/sql/create/brands.sql')
|
||||
create_table(f'sites/{site_name}/sql/create/food_info.sql')
|
||||
|
||||
257
scratch.py
257
scratch.py
@ -1,25 +1,250 @@
|
||||
|
||||
from config import config
|
||||
import psycopg2, requests
|
||||
import main, datetime, json
|
||||
import psycopg2, requests, database
|
||||
import main, datetime, json, csv
|
||||
from main import lst2pgarr
|
||||
|
||||
headers = []
|
||||
test = []
|
||||
with open("2024-10-02-Pantry.csv", "r+", encoding="utf-8") as file:
|
||||
csv_reader = csv.DictReader(file)
|
||||
for row in csv_reader:
|
||||
try:
|
||||
if row['id'] == "430":
|
||||
test = row
|
||||
except:
|
||||
pass
|
||||
|
||||
|
||||
# print(test)
|
||||
|
||||
# order_of_operations
|
||||
# create_logistics
|
||||
# create_item_info
|
||||
# create_food_info
|
||||
# create_brand_info
|
||||
# return id of each and save, check to make sure you have id for each else drop out and do not commit
|
||||
site_name = "main"
|
||||
defaults = config(filename=f"sites/{site_name}/site.ini", section="defaults")
|
||||
uuid = f"{defaults["default_zone"]}@{defaults["default_primary_location"]}"
|
||||
|
||||
logistics_info_payload = [
|
||||
test['barcode'],
|
||||
uuid,
|
||||
uuid,
|
||||
json.dumps({}), # dynamic_locations
|
||||
json.dumps({}), # location_data
|
||||
0.0 # quantity_on_hand
|
||||
]
|
||||
|
||||
item_info_payload = [
|
||||
test['barcode'],
|
||||
lst2pgarr([]), # linked_items
|
||||
lst2pgarr([]), # shopping_lists
|
||||
lst2pgarr([]), # recipes
|
||||
lst2pgarr([]), # groups
|
||||
test['packaging'], # packaging
|
||||
test['product_quantity_unit'], # uom
|
||||
test['cost'], # cost
|
||||
test['safety_stock'], # safety_stock
|
||||
test['lead_time'], # lead_time_days
|
||||
False # ai_pick
|
||||
]
|
||||
|
||||
# Food Info
|
||||
t = ['serving', 'serving_unit', 'calories', 'calories_unit', 'proteins',
|
||||
'proteins_unit', 'fats', 'fats_unit', 'carbohydrates', 'carbohydrates_unit', 'sugars', 'sugars_unit', 'sodium', 'sodium_unit',
|
||||
'fibers', 'fibers_unit']
|
||||
|
||||
other_tags = [
|
||||
'serving',
|
||||
'serving_unit',
|
||||
'calories',
|
||||
'calories_unit',
|
||||
'proteins_serving',
|
||||
'proteins_unit',
|
||||
'fat_serving',
|
||||
'fat_unit',
|
||||
'carbohydrates_serving',
|
||||
'carbohydrates_unit',
|
||||
'sugars_serving',
|
||||
'sugars_unit',
|
||||
'sodium_serving',
|
||||
'sodium_unit',
|
||||
'fiber_serving',
|
||||
'fiber_unit',
|
||||
]
|
||||
|
||||
nutriments = test['nutriments'].replace("'", '"')
|
||||
nutriments = nutriments.replace("{", "").replace("}", "")
|
||||
key_values = nutriments.split(", ")
|
||||
nutriments = {}
|
||||
|
||||
if key_values != ['']:
|
||||
for s in key_values:
|
||||
s= s.split(": ")
|
||||
k = s[0].replace('"', "")
|
||||
v = s[1].replace('"', "")
|
||||
nutriments[k] = v
|
||||
|
||||
nutrients = {}
|
||||
for i in range(len(other_tags)):
|
||||
if other_tags[i] in nutriments.keys():
|
||||
nutrients[t[i]] = nutriments[other_tags[i]]
|
||||
else:
|
||||
nutrients[t[i]] = ''
|
||||
|
||||
food_groups = test['food_groups_tags']
|
||||
food_groups = food_groups.replace('[', "").replace("]", "")
|
||||
food_groups = food_groups.replace("'", "")
|
||||
food_groups = food_groups.split(", ")
|
||||
|
||||
ingrediants = test['ingredients_hierarchy']
|
||||
ingrediants = ingrediants.replace('[', "").replace("]", "")
|
||||
ingrediants = ingrediants.replace("'", "")
|
||||
ingrediants = ingrediants.split(", ")
|
||||
|
||||
food_info_payload = [
|
||||
lst2pgarr(food_groups), # food_groups
|
||||
lst2pgarr(ingrediants), # ingrediants
|
||||
json.dumps(nutrients),
|
||||
False # expires
|
||||
]
|
||||
|
||||
brand_payload = [test['brands'],]
|
||||
|
||||
|
||||
logistics_info_id = 0
|
||||
item_info_id = 0
|
||||
food_info_id = 0
|
||||
brand_id = 0
|
||||
|
||||
database_config = config()
|
||||
with psycopg2.connect(**database_config) as conn:
|
||||
logistics_info = database.insertLogisticsInfoTuple(conn, "main", logistics_info_payload)
|
||||
item_info = database.insertItemInfoTuple(conn, "main", item_info_payload)
|
||||
food_info = database.insertFoodInfoTuple(conn, "main", food_info_payload)
|
||||
brand = database.insertBrandsTuple(conn, "main", brand_payload)
|
||||
|
||||
# update user with site_id and admin role.
|
||||
sqlfile = open('sites/main/sql/unique/shopping_lists_safetystock_uncalculated.sql', "r+")
|
||||
sql = sqlfile.readlines()
|
||||
sql = "\n".join(sql)
|
||||
sqlfile.close()
|
||||
try:
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(sql, (1, ))
|
||||
x = cur.fetchall()
|
||||
for _ in x:
|
||||
print(_)
|
||||
print("Logistics:", logistics_info)
|
||||
print("item_info:", item_info)
|
||||
print("food_info:", food_info)
|
||||
print("brand:", brand)
|
||||
|
||||
except (Exception, psycopg2.DatabaseError) as error:
|
||||
print(error)
|
||||
conn.rollback()
|
||||
name = test['name']
|
||||
name = name.replace("'", "@&apostraphe&")
|
||||
description = ""
|
||||
tags = lst2pgarr([])
|
||||
links = json.dumps({})
|
||||
search_string = f"{test['barcode']}&{name}"
|
||||
|
||||
item_payload = [
|
||||
test['barcode'],
|
||||
test['name'],
|
||||
brand[0],
|
||||
description,
|
||||
tags,
|
||||
links,
|
||||
item_info[0],
|
||||
logistics_info[0],
|
||||
food_info[0],
|
||||
"single",
|
||||
test["sub_type"],
|
||||
search_string
|
||||
]
|
||||
|
||||
print("Item:", item_payload)
|
||||
|
||||
item = database.insertItemTuple(conn, "main", item_payload)
|
||||
print(item)
|
||||
with conn.cursor() as cur:
|
||||
cur.execute(f"SELECT id FROM {site_name}_locations WHERE uuid=%s;", (uuid, ))
|
||||
location_id = cur.fetchone()[0]
|
||||
|
||||
|
||||
print("Location ID:", location_id)
|
||||
|
||||
item_location_payload = [
|
||||
item[0],
|
||||
location_id,
|
||||
0.0,
|
||||
main.lst2pgarr([])
|
||||
]
|
||||
|
||||
location = database.insertItemLocationsTuple(conn, site_name, item_location_payload)
|
||||
|
||||
print("Item location:", location)
|
||||
|
||||
creation_payload = [
|
||||
datetime.datetime.now(),
|
||||
logistics_info[0],
|
||||
test['barcode'],
|
||||
name,
|
||||
"SYSTEM",
|
||||
0.0,
|
||||
"Item Added to System!",
|
||||
1,
|
||||
json.dumps({'location': uuid})
|
||||
]
|
||||
|
||||
|
||||
transaction = database.insertTransactionsTuple(conn, site_name, creation_payload)
|
||||
|
||||
print("transaction:", transaction)
|
||||
|
||||
qoh = float(test['qty_on_hand'])
|
||||
print(qoh, type(qoh))
|
||||
if qoh != 0.0:
|
||||
if qoh >= 0.0:
|
||||
trans_type = "Adjust In"
|
||||
else:
|
||||
trans_type = "Adjust Out"
|
||||
|
||||
adjustment_payload = [
|
||||
datetime.datetime.now(),
|
||||
logistics_info[0],
|
||||
test['barcode'],
|
||||
name,
|
||||
trans_type,
|
||||
qoh,
|
||||
"",
|
||||
1,
|
||||
json.dumps({'location': uuid, 'cost': item_info[8]})
|
||||
]
|
||||
|
||||
transaction = database.insertTransactionsTuple(conn, site_name, adjustment_payload)
|
||||
print("transaction:", transaction)
|
||||
|
||||
cost_layer_payload = [
|
||||
datetime.datetime.now(),
|
||||
float(qoh),
|
||||
float(test['cost']),
|
||||
'USD',
|
||||
None,
|
||||
0
|
||||
]
|
||||
print(cost_layer_payload)
|
||||
cost_layer = database.insertCostLayersTuple(conn, site_name, cost_layer_payload)
|
||||
print("cost_layer:", cost_layer)
|
||||
|
||||
layer_payload = [
|
||||
cost_layer[0],
|
||||
float(location[3]) + float(qoh),
|
||||
location_id, # location_id
|
||||
item[0] # part_id
|
||||
]
|
||||
|
||||
print(layer_payload)
|
||||
location = database.updateItemLocation(conn, site_name, layer_payload)
|
||||
print(location)
|
||||
|
||||
print("\n")
|
||||
conn.commit()
|
||||
|
||||
# need to insert into Item_Locations, part_id and location id
|
||||
|
||||
|
||||
|
||||
qoh = float(test['qty_on_hand'])
|
||||
|
||||
# transact qoh into the system
|
||||
@ -1,9 +0,0 @@
|
||||
[site]
|
||||
site_name=Backpack
|
||||
site_owner=jadowyne
|
||||
email=
|
||||
|
||||
[defaults]
|
||||
default_zone=MAIN
|
||||
default_primary_location=POUCH A
|
||||
default_auto_issue_location=POUCH A
|
||||
@ -1,4 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_brands (
|
||||
id SERIAL PRIMARY KEY,
|
||||
name VARCHAR(255)
|
||||
);
|
||||
@ -1,7 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_food_info (
|
||||
id SERIAL PRIMARY KEY,
|
||||
food_groups TEXT [],
|
||||
ingrediants TEXT [],
|
||||
nutrients JSONB,
|
||||
expires BOOLEAN
|
||||
);
|
||||
@ -1,8 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_groups(
|
||||
id SERIAL PRIMARY KEY,
|
||||
name VARCHAR(255) NOT NULL,
|
||||
description TEXT,
|
||||
included_items INTEGER [],
|
||||
group_type VARCHAR(255),
|
||||
UNIQUE (name)
|
||||
);
|
||||
@ -1,32 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_items(
|
||||
id SERIAL PRIMARY KEY,
|
||||
barcode VARCHAR(255) NOT NULL,
|
||||
item_name VARCHAR(255) NOT NULL,
|
||||
brand INTEGER,
|
||||
description TEXT,
|
||||
tags TEXT [],
|
||||
links JSONB,
|
||||
item_info_id INTEGER NOT NULL,
|
||||
logistics_info_id INTEGER NOT NULL,
|
||||
food_info_id INTEGER,
|
||||
row_type VARCHAR(255) NOT NULL,
|
||||
item_type VARCHAR(255) NOT NULL,
|
||||
search_string TEXT NOT NULL,
|
||||
UNIQUE(barcode, item_info_id),
|
||||
CONSTRAINT fk_item_info
|
||||
FOREIGN KEY(item_info_id)
|
||||
REFERENCES Backpack_item_info(id)
|
||||
ON DELETE CASCADE,
|
||||
CONSTRAINT fk_food_info
|
||||
FOREIGN KEY(food_info_id)
|
||||
REFERENCES Backpack_food_info(id)
|
||||
ON DELETE CASCADE,
|
||||
CONSTRAINT fk_brand
|
||||
FOREIGN KEY(brand)
|
||||
REFERENCES Backpack_brands(id)
|
||||
ON DELETE CASCADE,
|
||||
CONSTRAINT fk_logistics_info
|
||||
FOREIGN KEY(logistics_info_id)
|
||||
REFERENCES Backpack_logistics_info(id)
|
||||
ON DELETE CASCADE
|
||||
);
|
||||
@ -1,15 +0,0 @@
|
||||
CREATE TABLE IF NOt EXISTS Backpack_item_info (
|
||||
id SERIAL PRIMARY KEY,
|
||||
barcode VARCHAR(255) NOT NULL,
|
||||
linked_items INTEGER [],
|
||||
shopping_lists INTEGER [],
|
||||
recipes INTEGER [],
|
||||
groups INTEGER [],
|
||||
packaging VARCHAR(255),
|
||||
uom VARCHAR(255),
|
||||
cost FLOAT8,
|
||||
safety_stock FLOAT8,
|
||||
lead_time_days FLOAT8,
|
||||
ai_pick BOOLEAN,
|
||||
UNIQUE(barcode)
|
||||
);
|
||||
@ -1,23 +0,0 @@
|
||||
DO $$
|
||||
BEGIN
|
||||
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'cost_layer') THEN
|
||||
CREATE TYPE cost_layer AS (qty FLOAT8, cost FLOAT8);
|
||||
END IF;
|
||||
END $$;
|
||||
|
||||
CREATE TABLE IF NOT EXISTS Backpack_item_locations(
|
||||
id SERIAL PRIMARY KEY,
|
||||
part_id INTEGER NOT NULL,
|
||||
location_id INTEGER NOT NULL,
|
||||
quantity_on_hand FLOAT8 NOT NULL,
|
||||
cost_layers cost_layer[],
|
||||
UNIQUE(part_id, location_id),
|
||||
CONSTRAINT fk_part_id
|
||||
FOREIGN KEY(part_id)
|
||||
REFERENCES Backpack_items(id)
|
||||
ON DELETE CASCADE,
|
||||
CONSTRAINT fk_location_id
|
||||
FOREIGN KEY(location_id)
|
||||
REFERENCES Backpack_locations(id)
|
||||
ON DELETE CASCADE
|
||||
);
|
||||
@ -1,8 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_itemlinks (
|
||||
id SERIAL PRIMARY KEY,
|
||||
barcode VARCHAR(255) NOt NULL,
|
||||
link INTEGER NOT NULL,
|
||||
data JSONB NOT NULL,
|
||||
conv_factor FLOAT8 NOt NULL,
|
||||
UNIQUE(barcode)
|
||||
);
|
||||
@ -1,11 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_locations(
|
||||
id SERIAL PRIMARY KEY,
|
||||
uuid VARCHAR(255) NOT NULL,
|
||||
name VARCHAR(32) NOT NULL,
|
||||
zone_id INTEGER NOT NULL,
|
||||
items JSONB,
|
||||
UNIQUE(uuid),
|
||||
CONSTRAINT fk_zone
|
||||
FOREIGN KEY(zone_id)
|
||||
REFERENCES Backpack_zones(id)
|
||||
);
|
||||
@ -1,22 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS logins(
|
||||
id SERIAL PRIMARY KEY,
|
||||
username VARCHAR(255),
|
||||
password VARCHAR(255),
|
||||
email VARCHAR(255) UNIQUE NOT NULL,
|
||||
favorites JSONB DEFAULT '{}',
|
||||
unseen_pantry_items INTEGER [] DEFAULT '{}',
|
||||
unseen_groups INTEGER [] DEFAULT '{}',
|
||||
unseen_shopping_lists INTEGER [] DEFAULT '{}',
|
||||
unseen_recipes INTEGER [] DEFAULT '{}',
|
||||
seen_pantry_items INTEGER [] DEFAULT '{}',
|
||||
seen_groups INTEGER[] DEFAULT '{}',
|
||||
seen_shopping_lists INTEGER [] DEFAULT '{}',
|
||||
seen_recipes INTEGER [] DEFAULT '{}',
|
||||
sites INTEGER [] DEFAULT '{}',
|
||||
site_roles INTEGER [] DEFAULT '{}',
|
||||
system_admin BOOLEAN DEFAULT FALSE,
|
||||
flags JSONB DEFAULT '{}',
|
||||
UNIQUE(username),
|
||||
CHECK (email ~* '^[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}$')
|
||||
);
|
||||
|
||||
@ -1,10 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_logistics_info(
|
||||
id SERIAL PRIMARY KEY,
|
||||
barcode VARCHAR(255) NOT NULL,
|
||||
primary_location VARCHAR(64),
|
||||
auto_issue_location VARCHAR(64),
|
||||
dynamic_locations JSONB,
|
||||
location_data JSONB,
|
||||
quantity_on_hand FLOAT8 NOT NULL,
|
||||
UNIQUE(barcode)
|
||||
);
|
||||
@ -1,13 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_receipt_items (
|
||||
id SERIAL PRIMARY KEY,
|
||||
type VARCHAR(255) NOT NULL,
|
||||
receipt_id INTEGER NOT NULL,
|
||||
barcode VARCHAR(255) NOT NULL,
|
||||
name VARCHAR(255) NOT NULL,
|
||||
qty FLOAT8 NOT NULL,
|
||||
data JSONB,
|
||||
status VARCHAR (64),
|
||||
CONSTRAINT fk_receipt
|
||||
FOREIGN KEY(receipt_id)
|
||||
REFERENCES Backpack_receipts(id)
|
||||
);
|
||||
@ -1,13 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_receipts (
|
||||
id SERIAL PRIMARY KEY,
|
||||
receipt_id VARCHAR (32) NOT NULL,
|
||||
receipt_status VARCHAR (64) NOT NULL,
|
||||
date_submitted TIMESTAMP NOT NULL,
|
||||
submitted_by INTEGER NOT NULL,
|
||||
vendor_id INTEGER,
|
||||
files JSONB,
|
||||
UNIQUE(receipt_id),
|
||||
CONSTRAINT fk_vendor
|
||||
FOREIGN KEY(vendor_id)
|
||||
REFERENCES Backpack_vendors(id)
|
||||
);
|
||||
@ -1,12 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_recipes (
|
||||
id SERIAL PRIMARY KEY,
|
||||
name VARCHAR,
|
||||
author INTEGER,
|
||||
description TEXT,
|
||||
creation_date TIMESTAMP,
|
||||
custom_items JSONB,
|
||||
pantry_items JSONB,
|
||||
group_items JSONB,
|
||||
instructions TEXT [],
|
||||
picture_path TEXT
|
||||
);
|
||||
@ -1,11 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS roles(
|
||||
id SERIAL PRIMARY KEY,
|
||||
role_name VARCHAR(255) NOT NULL,
|
||||
role_description TEXT,
|
||||
site_id INTEGER NOT NULL,
|
||||
flags JSONB DEFAULT '{}',
|
||||
UNIQUE(role_name, site_id),
|
||||
CONSTRAINT fk_site
|
||||
FOREIGN KEY(site_id)
|
||||
REFERENCES sites(id)
|
||||
);
|
||||
@ -1,14 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_shopping_lists (
|
||||
id SERIAL PRIMARY KEY,
|
||||
name VARCHAR(255) NOT NULL,
|
||||
description TEXT,
|
||||
pantry_items INTEGER [],
|
||||
custom_items JSONB,
|
||||
recipes INTEGER [],
|
||||
groups INTEGER [],
|
||||
quantities JSONB,
|
||||
author INTEGER,
|
||||
creation_date TIMESTAMP,
|
||||
type VARCHAR(64),
|
||||
UNIQUE(name)
|
||||
);
|
||||
@ -1,15 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS sites (
|
||||
id SERIAL PRIMARY KEY,
|
||||
site_name VARCHAR(120),
|
||||
site_description TEXT,
|
||||
creation_date TIMESTAMP,
|
||||
site_owner_id INTEGER NOT NULL,
|
||||
flags JSONB,
|
||||
default_zone VARCHAR(32),
|
||||
default_auto_issue_location VARCHAR(32),
|
||||
default_primary_location VARCHAR(32),
|
||||
UNIQUE(site_name),
|
||||
CONSTRAINT fk_site_owner
|
||||
FOREIGN KEY(site_owner_id)
|
||||
REFERENCES logins(id)
|
||||
);
|
||||
@ -1,15 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_Transactions (
|
||||
id SERIAL PRIMARY KEY,
|
||||
timestamp TIMESTAMP,
|
||||
logistics_info_id INTEGER NOT NULL,
|
||||
barcode VARCHAR(255) NOT NULL,
|
||||
name VARCHAR(255),
|
||||
transaction_type VARCHAR(255) NOT NULL,
|
||||
quantity FLOAT8 NOT NULL,
|
||||
description TEXT,
|
||||
user_id INTEGER NOT NULL,
|
||||
data JSONB,
|
||||
CONSTRAINT fk_logistics_info
|
||||
FOREIGN KEY(logistics_info_id)
|
||||
REFERENCES Backpack_logistics_info(id)
|
||||
);
|
||||
@ -1,8 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_vendors (
|
||||
id SERIAL PRIMARY KEY,
|
||||
vendor_name VARCHAR(255) NOT NULL,
|
||||
vendor_address VARCHAR(255),
|
||||
creation_date TIMESTAMP NOT NULL,
|
||||
created_by INTEGER NOT NULL,
|
||||
phone_number VARCHAR(32)
|
||||
);
|
||||
@ -1,5 +0,0 @@
|
||||
CREATE TABLE IF NOT EXISTS Backpack_zones(
|
||||
id SERIAL PRIMARY KEY,
|
||||
name VARCHAR(32) NOT NULL,
|
||||
UNIQUE(name)
|
||||
);
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_brands CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_food_info CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_groups CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_item_info CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_item_locations CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_items CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_itemlinks CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_locations CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_logistics_info CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_receipt_items CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_receipts CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_recipes CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_shopping_lists CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_transactions CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_vendors CASCADE;
|
||||
@ -1 +0,0 @@
|
||||
DROP TABLE Backpack_zones CASCADE;
|
||||
@ -1,3 +0,0 @@
|
||||
UPDATE Backpack_logistics_info
|
||||
SET quantity_on_hand = %s, location_data = %s
|
||||
WHERE id = %s;
|
||||
@ -1,45 +0,0 @@
|
||||
SELECT * FROM Backpack_items
|
||||
LEFT JOIN Backpack_logistics_info ON Backpack_items.logistics_info_id = Backpack_logistics_info.id
|
||||
LEFT JOIN Backpack_item_info ON Backpack_items.item_info_id = Backpack_item_info.id
|
||||
LEFT JOIN Backpack_food_info ON Backpack_items.food_info_id = Backpack_food_info.id
|
||||
WHERE Backpack_items.id=%s;
|
||||
|
||||
/*
|
||||
00 - item_id
|
||||
01 - barcode
|
||||
02 - item_name
|
||||
03 - brand (id)
|
||||
04 - description
|
||||
05 - tags
|
||||
06 - links
|
||||
07 - item_info_id
|
||||
08 - logistics_info_id
|
||||
09 - food_info_id
|
||||
10 - row_type
|
||||
11 - item_type
|
||||
12 - search_string
|
||||
13 - logistics_info_id
|
||||
14 - barcode
|
||||
15 - primary_location
|
||||
16 - auto_issue_location
|
||||
17 - dynamic_locations
|
||||
18 - location_data
|
||||
19 - quantity_on_hand
|
||||
20 - item_info_id
|
||||
21 - barcode
|
||||
22 - linked_items
|
||||
23 - shopping_lists
|
||||
24 - recipes
|
||||
25 - groups
|
||||
26 - packaging
|
||||
27 - uom
|
||||
28 - cost
|
||||
29 - safety_stock
|
||||
30 - lead_time_days
|
||||
31 - ai_pick
|
||||
32 - food_info_id
|
||||
33 - food_groups
|
||||
34 - ingrediants
|
||||
35 - nutrients
|
||||
36 - expires
|
||||
*/
|
||||
@ -1,45 +0,0 @@
|
||||
SELECT * FROM Backpack_items
|
||||
LEFT JOIN Backpack_logistics_info ON Backpack_items.logistics_info_id = Backpack_logistics_info.id
|
||||
LEFT JOIN Backpack_item_info ON Backpack_items.item_info_id = Backpack_item_info.id
|
||||
LEFT JOIN Backpack_food_info ON Backpack_items.food_info_id = Backpack_food_info.id
|
||||
WHERE Backpack_items.barcode=%s;
|
||||
|
||||
/*
|
||||
00 - item_id
|
||||
01 - barcode
|
||||
02 - item_name
|
||||
03 - brand (id)
|
||||
04 - description
|
||||
05 - tags
|
||||
06 - links
|
||||
07 - item_info_id
|
||||
08 - logistics_info_id
|
||||
09 - food_info_id
|
||||
10 - row_type
|
||||
11 - item_type
|
||||
12 - search_string
|
||||
13 - logistics_info_id
|
||||
14 - barcode
|
||||
15 - primary_location
|
||||
16 - auto_issue_location
|
||||
17 - dynamic_locations
|
||||
18 - location_data
|
||||
19 - quantity_on_hand
|
||||
20 - item_info_id
|
||||
21 - barcode
|
||||
22 - linked_items
|
||||
23 - shopping_lists
|
||||
24 - recipes
|
||||
25 - groups
|
||||
26 - packaging
|
||||
27 - uom
|
||||
28 - cost
|
||||
29 - safety_stock
|
||||
30 - lead_time_days
|
||||
31 - ai_pick
|
||||
32 - food_info_id
|
||||
33 - food_groups
|
||||
34 - ingrediants
|
||||
35 - nutrients
|
||||
36 - expires
|
||||
*/
|
||||
@ -1,3 +0,0 @@
|
||||
UPDATE Backpack_locations
|
||||
SET items = %s
|
||||
WHERE id = %s;
|
||||
@ -1,43 +0,0 @@
|
||||
WITH sum_cte AS (
|
||||
SELECT mi.id, SUM(mil.quantity_on_hand) AS total_sum
|
||||
FROM Backpack_item_locations mil
|
||||
JOIN Backpack_items mi ON mil.part_id = mi.id
|
||||
GROUP BY mi.id
|
||||
)
|
||||
SELECT *
|
||||
FROM Backpack_items
|
||||
LEFT JOIN Backpack_item_info ON Backpack_items.item_info_id = Backpack_item_info.id
|
||||
LEFT JOIN sum_cte ON Backpack_items.id = sum_cte.id
|
||||
WHERE Backpack_item_info.safety_stock > COALESCE(sum_cte.total_sum, 0)
|
||||
AND Backpack_item_info.shopping_lists @> ARRAY[%s];
|
||||
|
||||
/*
|
||||
00 - item_id
|
||||
01 - barcode
|
||||
02 - item_name
|
||||
03 - brand (id)
|
||||
04 - description
|
||||
05 - tags
|
||||
06 - links
|
||||
07 - item_info_id
|
||||
08 - logistics_info_id
|
||||
09 - food_info_id
|
||||
10 - row_type
|
||||
11 - item_type
|
||||
12 - search_string
|
||||
13 - item_info_id
|
||||
14 - barcode
|
||||
15 - linked_items
|
||||
16 - shopping_lists
|
||||
17 - recipes
|
||||
18 - groups
|
||||
19 - packaging
|
||||
20 - uom
|
||||
21 - cost
|
||||
22 - safety_stock
|
||||
23 - lead_time_days
|
||||
24 - ai_pick
|
||||
25 - sum_cte_id
|
||||
26 - total_sum/QOH
|
||||
*/
|
||||
|
||||
@ -1,12 +0,0 @@
|
||||
WITH sum_cte AS (
|
||||
SELECT mi.id, SUM(mil.quantity_on_hand) AS total_sum
|
||||
FROM Backpack_item_locations mil
|
||||
JOIN Backpack_items mi ON mil.part_id = mi.id
|
||||
GROUP BY mi.id
|
||||
)
|
||||
SELECT COUNT(*)
|
||||
FROM Backpack_items
|
||||
LEFT JOIN Backpack_item_info ON Backpack_items.item_info_id = Backpack_item_info.id
|
||||
LEFT JOIN sum_cte ON Backpack_items.id = sum_cte.id
|
||||
WHERE Backpack_item_info.safety_stock > COALESCE(sum_cte.total_sum, 0)
|
||||
AND Backpack_item_info.shopping_lists @> ARRAY[%s];
|
||||
@ -1,11 +0,0 @@
|
||||
WITH sum_cte AS (
|
||||
SELECT mi.id, SUM(mil.quantity_on_hand) AS total_sum
|
||||
FROM Backpack_item_locations mil
|
||||
JOIN Backpack_items mi ON mil.part_id = mi.id
|
||||
GROUP BY mi.id
|
||||
)
|
||||
SELECT *
|
||||
FROM Backpack_items
|
||||
LEFT JOIN Backpack_item_info ON Backpack_items.item_info_id = Backpack_item_info.id
|
||||
LEFT JOIN sum_cte ON Backpack_items.id = sum_cte.id
|
||||
WHERE Backpack_item_info.shopping_lists @> ARRAY[%s];
|
||||
9
sites/default/sql/create/cost_layers.sql
Normal file
9
sites/default/sql/create/cost_layers.sql
Normal file
@ -0,0 +1,9 @@
|
||||
CREATE TABLE IF NOT EXISTS %sitename%_cost_layers (
|
||||
id SERIAL PRIMARY KEY,
|
||||
aquisition_date TIMESTAMP NOT NULL,
|
||||
quantity FLOAT8 NOT NULL,
|
||||
cost FLOAT8 NOT NULL,
|
||||
currency_type VARCHAR(16) NOT NULL,
|
||||
expires TIMESTAMP,
|
||||
vendor INTEGER DEFAULT 0
|
||||
);
|
||||
@ -1,16 +1,9 @@
|
||||
DO $$
|
||||
BEGIN
|
||||
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'cost_layer') THEN
|
||||
CREATE TYPE cost_layer AS (qty FLOAT8, cost FLOAT8);
|
||||
END IF;
|
||||
END $$;
|
||||
|
||||
CREATE TABLE IF NOT EXISTS %sitename%_item_locations(
|
||||
id SERIAL PRIMARY KEY,
|
||||
part_id INTEGER NOT NULL,
|
||||
location_id INTEGER NOT NULL,
|
||||
quantity_on_hand FLOAT8 NOT NULL,
|
||||
cost_layers cost_layer[],
|
||||
cost_layers INTEGER[] DEFAULT '{}',
|
||||
UNIQUE(part_id, location_id),
|
||||
CONSTRAINT fk_part_id
|
||||
FOREIGN KEY(part_id)
|
||||
|
||||
1
sites/default/sql/drop/cost_layers.sql
Normal file
1
sites/default/sql/drop/cost_layers.sql
Normal file
@ -0,0 +1 @@
|
||||
DROP TABLE %sitename%_cost_layers CASCADE;
|
||||
9
sites/main/sql/create/cost_layers.sql
Normal file
9
sites/main/sql/create/cost_layers.sql
Normal file
@ -0,0 +1,9 @@
|
||||
CREATE TABLE IF NOT EXISTS main_cost_layers (
|
||||
id SERIAL PRIMARY KEY,
|
||||
aquisition_date TIMESTAMP NOT NULL,
|
||||
quantity FLOAT8 NOT NULL,
|
||||
cost FLOAT8 NOT NULL,
|
||||
currency_type VARCHAR(16) NOT NULL,
|
||||
expires TIMESTAMP,
|
||||
vendor INTEGER DEFAULT 0
|
||||
);
|
||||
@ -1,16 +1,9 @@
|
||||
DO $$
|
||||
BEGIN
|
||||
IF NOT EXISTS (SELECT 1 FROM pg_type WHERE typname = 'cost_layer') THEN
|
||||
CREATE TYPE cost_layer AS (qty FLOAT8, cost FLOAT8);
|
||||
END IF;
|
||||
END $$;
|
||||
|
||||
CREATE TABLE IF NOT EXISTS main_item_locations(
|
||||
id SERIAL PRIMARY KEY,
|
||||
part_id INTEGER NOT NULL,
|
||||
location_id INTEGER NOT NULL,
|
||||
quantity_on_hand FLOAT8 NOT NULL,
|
||||
cost_layers cost_layer[],
|
||||
cost_layers INTEGER[] DEFAULT '{}',
|
||||
UNIQUE(part_id, location_id),
|
||||
CONSTRAINT fk_part_id
|
||||
FOREIGN KEY(part_id)
|
||||
|
||||
1
sites/main/sql/drop/cost_layers.sql
Normal file
1
sites/main/sql/drop/cost_layers.sql
Normal file
@ -0,0 +1 @@
|
||||
DROP TABLE main_cost_layers CASCADE;
|
||||
@ -10,3 +10,34 @@ LEFT JOIN main_item_info ON main_items.item_info_id = main_item_info.id
|
||||
LEFT JOIN sum_cte ON main_items.id = sum_cte.id
|
||||
WHERE main_item_info.safety_stock > COALESCE(sum_cte.total_sum, 0)
|
||||
AND main_item_info.shopping_lists @> ARRAY[%s];
|
||||
|
||||
/*
|
||||
00 - item_id
|
||||
01 - barcode
|
||||
02 - item_name
|
||||
03 - brand (id)
|
||||
04 - description
|
||||
05 - tags
|
||||
06 - links
|
||||
07 - item_info_id
|
||||
08 - logistics_info_id
|
||||
09 - food_info_id
|
||||
10 - row_type
|
||||
11 - item_type
|
||||
12 - search_string
|
||||
13 - item_info_id
|
||||
14 - barcode
|
||||
15 - linked_items
|
||||
16 - shopping_lists
|
||||
17 - recipes
|
||||
18 - groups
|
||||
19 - packaging
|
||||
20 - uom
|
||||
21 - cost
|
||||
22 - safety_stock
|
||||
23 - lead_time_days
|
||||
24 - ai_pick
|
||||
25 - sum_cte_id
|
||||
26 - total_sum/QOH
|
||||
*/
|
||||
|
||||
|
||||
4
sql/INSERT/insertBrandsTuple.sql
Normal file
4
sql/INSERT/insertBrandsTuple.sql
Normal file
@ -0,0 +1,4 @@
|
||||
INSERT INTO %%site_name%%_brands
|
||||
(name)
|
||||
VALUES (%s)
|
||||
RETURNING *;
|
||||
4
sql/INSERT/insertCostLayersTuple.sql
Normal file
4
sql/INSERT/insertCostLayersTuple.sql
Normal file
@ -0,0 +1,4 @@
|
||||
INSERT INTO %%site_name%%_cost_layers
|
||||
(aquisition_date, quantity, cost, currency_type, expires, vendor)
|
||||
VALUES (%s, %s, %s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
4
sql/INSERT/insertFoodInfoTuple.sql
Normal file
4
sql/INSERT/insertFoodInfoTuple.sql
Normal file
@ -0,0 +1,4 @@
|
||||
INSERT INTO %%site_name%%_food_info
|
||||
(ingrediants, food_groups, nutrients, expires)
|
||||
VALUES (%s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
4
sql/INSERT/insertGroupsTuple.sql
Normal file
4
sql/INSERT/insertGroupsTuple.sql
Normal file
@ -0,0 +1,4 @@
|
||||
INSERT INTO %%site_name%%_groups
|
||||
(name, description, included_items, group_type)
|
||||
VALUES (%s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
5
sql/INSERT/insertItemInfoTuple.sql
Normal file
5
sql/INSERT/insertItemInfoTuple.sql
Normal file
@ -0,0 +1,5 @@
|
||||
INSERT INTO %%site_name%%_item_info
|
||||
(barcode, linked_items, shopping_lists, recipes, groups,
|
||||
packaging, uom, cost, safety_stock, lead_time_days, ai_pick)
|
||||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
4
sql/INSERT/insertItemLocationsTuple.sql
Normal file
4
sql/INSERT/insertItemLocationsTuple.sql
Normal file
@ -0,0 +1,4 @@
|
||||
INSERT INTO %%site_name%%_item_locations
|
||||
(part_id, location_id, quantity_on_hand, cost_layers)
|
||||
VALUES (%s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
5
sql/INSERT/insertItemTuple.sql
Normal file
5
sql/INSERT/insertItemTuple.sql
Normal file
@ -0,0 +1,5 @@
|
||||
INSERT INTO %%site_name%%_items
|
||||
(barcode, item_name, brand, description, tags, links, item_info_id, logistics_info_id,
|
||||
food_info_id, row_type, item_type, search_string)
|
||||
VALUES(%s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
4
sql/INSERT/insertLoginsTuple.sql
Normal file
4
sql/INSERT/insertLoginsTuple.sql
Normal file
@ -0,0 +1,4 @@
|
||||
INSERT INTO logins
|
||||
(username, password, email)
|
||||
VALUES (%s, %s, %s)
|
||||
RETURNING *;
|
||||
5
sql/INSERT/insertLogisticsInfoTuple.sql
Normal file
5
sql/INSERT/insertLogisticsInfoTuple.sql
Normal file
@ -0,0 +1,5 @@
|
||||
INSERT INTO %%site_name%%_logistics_info
|
||||
(barcode, primary_location, auto_issue_location, dynamic_locations,
|
||||
location_data, quantity_on_hand)
|
||||
VALUES (%s, %s, %s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
@ -1,3 +1,5 @@
|
||||
INSERT INTO Backpack_transactions
|
||||
(timestamp, logistics_info_id, barcode, name, transaction_type, quantity, description, user_id, data)
|
||||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s);
|
||||
INSERT INTO main_transactions
|
||||
(timestamp, logistics_info_id, barcode, name, transaction_type,
|
||||
quantity, description, user_id, data)
|
||||
VALUES (%s, %s, %s, %s, %s, %s, %s, %s, %s)
|
||||
RETURNING *;
|
||||
4
sql/updateItemLocation.sql
Normal file
4
sql/updateItemLocation.sql
Normal file
@ -0,0 +1,4 @@
|
||||
UPDATE %%site_name%%_item_locations
|
||||
SET cost_layers = array_append(cost_layers, %s), quantity_on_hand = %s
|
||||
WHERE location_id=%s AND part_id=%s
|
||||
RETURNING *;
|
||||
@ -37,27 +37,33 @@
|
||||
}
|
||||
</style>
|
||||
<!-- NAVBAR -->
|
||||
<div class="navbar-fixed">
|
||||
<nav class="purple lighten-4 text-black z-depth-0">
|
||||
<div class="nav-wrapper">
|
||||
<ul id="nav-mobile" class="left hide-on-med-and-down black-text">
|
||||
<li><a class="dropdown-trigger black-text" data-target="dropdown1">Current Site > {{current_site}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
<li><a href="/items" class="black-text">Site Items</a></li>
|
||||
<li class="active"><a href="/groups" class="black-text">Site Groups</a></li>
|
||||
<li><a href="/shopping-lists" class="black-text">Site Shopping Lists</a></li>
|
||||
<li><a href="/receipts" class="black-text">Site Receipts</a></li>
|
||||
</ul>
|
||||
<ul class="right">
|
||||
<li><a class="dropdown-trigger hide-on-med-and-down black-text" data-target="username_dropdown">{{username}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</nav>
|
||||
</div>
|
||||
<ul id='dropdown1' class='dropdown-content'>
|
||||
{% for site in sites %}
|
||||
<li><button class="btn transparent black-text z-depth-0" onclick="changeSite('{{ site }}')">{{site}}</button></li>
|
||||
{% endfor %}
|
||||
</ul>
|
||||
<ul id="slide-out" class="sidenav sidenav-fixed purple lighten-4" style="width: 250px;">
|
||||
<li>
|
||||
<div class="user-view">
|
||||
<!-- <div class="background">
|
||||
<img src="images/office.jpg">
|
||||
</div> -->
|
||||
<!-- <a href="#user"><img class="circle" src="images/yuna.jpg"></a> -->
|
||||
<a href="#name"><span class="black-text name">John Doe</span></a>
|
||||
<a href="#email"><span class="black-text email">jdoe@example.com</span></a>
|
||||
</div>
|
||||
</li>
|
||||
<li><a class="dropdown-trigger" data-target="dropdown1">Current Site > {{current_site}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
<li><div class="divider grey darken-1" style="margin-left: 5px; margin-right: 10px;"></div></li>
|
||||
<li><a href="/items">Site Items</a></li>
|
||||
<li><a href="/groups">Site Groups</a></li>
|
||||
<li><a href="/shopping-lists">Site Shopping Lists</a></li>
|
||||
<ul id='username_dropdown' class='dropdown-content'>
|
||||
<li><a href="/profile" class="hide-on-med-and-down black-text">Profile</a></li>
|
||||
{% if system_admin == True %}
|
||||
<li><a href="/admin" class="hide-on-med-and-down black-text">Administration</a></li>
|
||||
{% endif %}
|
||||
<li><a href="/logout" class="hide-on-med-and-down black-text">Logout</a></li>
|
||||
</ul>
|
||||
<body>
|
||||
<div class="container section" style="padding-bottom: 72px;">
|
||||
|
||||
@ -36,28 +36,33 @@
|
||||
opacity: 0.5; /* or your desired degree of transparency */
|
||||
}
|
||||
</style>
|
||||
<div class="navbar-fixed">
|
||||
<nav class="blue lighten-4 text-black z-depth-0">
|
||||
<div class="nav-wrapper">
|
||||
<ul id="nav-mobile" class="left hide-on-med-and-down black-text">
|
||||
<li><a class="dropdown-trigger black-text" data-target="dropdown1">Current Site > {{current_site}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
<li><a href="/items" class="black-text">Site Items</a></li>
|
||||
<li><a href="/groups" class="black-text">Site Groups</a></li>
|
||||
<li><a href="/shopping-lists" class="black-text">Site Shopping Lists</a></li>
|
||||
<li class="active"><a href="/receipts" class="black-text">Site Receipts</a></li>
|
||||
</ul>
|
||||
<ul class="right">
|
||||
<li><a class="dropdown-trigger hide-on-med-and-down black-text" data-target="username_dropdown">{{username}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</nav>
|
||||
</div>
|
||||
<ul id='dropdown1' class='dropdown-content'>
|
||||
{% for site in sites %}
|
||||
<li><button class="btn transparent black-text z-depth-0" onclick="changeSite('{{ site }}')">{{site}}</button></li>
|
||||
{% endfor %}
|
||||
</ul>
|
||||
<ul id="slide-out" class="sidenav sidenav-fixed green lighten-4" style="width: 250px;">
|
||||
<li>
|
||||
<div class="user-view">
|
||||
<!-- <div class="background">
|
||||
<img src="images/office.jpg">
|
||||
</div> -->
|
||||
<!-- <a href="#user"><img class="circle" src="images/yuna.jpg"></a> -->
|
||||
<a href="#name"><span class="black-text name">John Doe</span></a>
|
||||
<a href="#email"><span class="black-text email">jdoe@example.com</span></a>
|
||||
</div>
|
||||
</li>
|
||||
<li><a class="dropdown-trigger" data-target="dropdown1">Current Site > {{current_site}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
<li><div class="divider grey darken-1" style="margin-left: 5px; margin-right: 10px;"></div></li>
|
||||
<li class="active"><a href="/items">Site Items</a></li>
|
||||
<li><a href="/groups">Site Groups</a></li>
|
||||
<li><a href="/shopping-lists">Site Shopping Lists</a></li>
|
||||
<li><a href="/receipts">Site Receipts</a></li>
|
||||
<ul id='username_dropdown' class='dropdown-content'>
|
||||
<li><a href="/profile" class="hide-on-med-and-down black-text">Profile</a></li>
|
||||
{% if system_admin == True %}
|
||||
<li><a href="/admin" class="hide-on-med-and-down black-text">Administration</a></li>
|
||||
{% endif %}
|
||||
<li><a href="/logout" class="hide-on-med-and-down black-text">Logout</a></li>
|
||||
</ul>
|
||||
<body>
|
||||
<div class="container section">
|
||||
@ -66,11 +71,11 @@
|
||||
</div>
|
||||
<div class="col s12 center" id="pagination_list">
|
||||
<ul class="pagination">
|
||||
<li id="first" class="waves-effect hand-pointer"><a class="green lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">first_page</i></a></li>
|
||||
<li id="back" class="waves-effect hand-pointer" ><a class="green lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">chevron_left</i></a></li>
|
||||
<li id="first" class="waves-effect hand-pointer"><a class="blue lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">first_page</i></a></li>
|
||||
<li id="back" class="waves-effect hand-pointer" ><a class="blue lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">chevron_left</i></a></li>
|
||||
<li id="current_page" style="padding-top: 7px; padding-left: 5px; padding-right: 5px; font-size: 18px;">page_number</li>
|
||||
<li id="forward" class="waves-effect hand-pointer"><a class="green lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">chevron_right</i></a></li>
|
||||
<li id="last" class="waves-effect hand-pointer"><a class="green lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">last_page</i></a></li>
|
||||
<li id="forward" class="waves-effect hand-pointer"><a class="blue lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">chevron_right</i></a></li>
|
||||
<li id="last" class="waves-effect hand-pointer"><a class="blue lighten-3" style="display: flex; align-items: center; justify-content: center; width: 40px; height: 40px; border-radius: 10px;"><i class="material-icons">last_page</i></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@ -37,27 +37,33 @@
|
||||
}
|
||||
|
||||
</style>
|
||||
<div class="navbar-fixed">
|
||||
<nav class="orange lighten-4 text-black z-depth-0">
|
||||
<div class="nav-wrapper">
|
||||
<ul id="nav-mobile" class="left hide-on-med-and-down black-text">
|
||||
<li><a class="dropdown-trigger black-text" data-target="dropdown1">Current Site > {{current_site}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
<li><a href="/items" class="black-text">Site Items</a></li>
|
||||
<li><a href="/groups" class="black-text">Site Groups</a></li>
|
||||
<li class="active"><a href="/shopping-lists" class="black-text">Site Shopping Lists</a></li>
|
||||
<li><a href="/receipts" class="black-text">Site Receipts</a></li>
|
||||
</ul>
|
||||
<ul class="right">
|
||||
<li><a class="dropdown-trigger hide-on-med-and-down black-text" data-target="username_dropdown">{{username}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
</ul>
|
||||
</div>
|
||||
</nav>
|
||||
</div>
|
||||
<ul id='dropdown1' class='dropdown-content'>
|
||||
{% for site in sites %}
|
||||
<li><button class="btn transparent black-text z-depth-0" onclick="changeSite('{{ site }}')">{{site}}</button></li>
|
||||
{% endfor %}
|
||||
</ul>
|
||||
<ul id="slide-out" class="sidenav sidenav-fixed orange lighten-4" style="width: 250px;">
|
||||
<li>
|
||||
<div class="user-view">
|
||||
<!-- <div class="background">
|
||||
<img src="images/office.jpg">
|
||||
</div> -->
|
||||
<!-- <a href="#user"><img class="circle" src="images/yuna.jpg"></a> -->
|
||||
<a href="#name"><span class="black-text name">John Doe</span></a>
|
||||
<a href="#email"><span class="black-text email">jdoe@example.com</span></a>
|
||||
</div>
|
||||
</li>
|
||||
<li><a class="dropdown-trigger" data-target="dropdown1">Current Site > {{current_site}}<i class="material-icons right">arrow_drop_down</i></a></li>
|
||||
<li><div class="divider grey darken-1" style="margin-left: 5px; margin-right: 10px;"></div></li>
|
||||
<li><a href="/items">Site Items</a></li>
|
||||
<li><a href="/groups">Site Groups</a></li>
|
||||
<li><a href="/shopping-lists">Site Shopping Lists</a></li>
|
||||
<ul id='username_dropdown' class='dropdown-content'>
|
||||
<li><a href="/profile" class="hide-on-med-and-down black-text">Profile</a></li>
|
||||
{% if system_admin == True %}
|
||||
<li><a href="/admin" class="hide-on-med-and-down black-text">Administration</a></li>
|
||||
{% endif %}
|
||||
<li><a href="/logout" class="hide-on-med-and-down black-text">Logout</a></li>
|
||||
</ul>
|
||||
<body>
|
||||
<div class="container section" style="padding-bottom: 72px;">
|
||||
|
||||
12
test.py
Normal file
12
test.py
Normal file
@ -0,0 +1,12 @@
|
||||
from config import config
|
||||
import psycopg2, ast, database, datetime, json, MyDataclasses
|
||||
|
||||
database_config = config()
|
||||
with psycopg2.connect(**database_config) as conn:
|
||||
now = datetime.datetime.now()
|
||||
try:
|
||||
print(MyDataclasses.LogisticsInfoPayload.payload())
|
||||
except database.DatabaseError as error:
|
||||
print(error)
|
||||
|
||||
#conn.rollback()
|
||||
Loading…
x
Reference in New Issue
Block a user