294 lines
13 KiB
Python
294 lines
13 KiB
Python
# get out unique value from each column (dish, temperature or label)
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def uniq_val_from_data(rows, col):
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return set([row[col] for row in rows])
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# format to print a tree and something more
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tree_format = ["dish", "served", "origin", "cooked", "ingredients", "name"]
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# course
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'''
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dish - (salad/meal/coffee/tea/non-alcho drink)
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served - (cold/hot/warm)
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origin - (Worldwide/America/Europe/Asia)
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cooked - (baked/boiled/mixed)
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ingridients - (2/4)
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'''
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training_data = [
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['salad', 'warm', 'Europe', 'mixed', 4, 'Cappon magro'],
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['salad', 'hot', 'Europe', 'mixed', 4, 'Panzanella'],
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['salad', 'cold', 'Europe', 'mixed', 4, 'Greek Salad'],
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['salad', 'warm', 'Worldwide', 'mixed', 4, 'Jello salad'],
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['salad', 'cold', 'Worldwide', 'mixed', 4, 'Macaroni salad'],
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['salad', 'hot', 'Worldwide', 'mixed', 4, 'Fruit salad'],
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['salad', 'cold', 'America', 'mixed', 4, 'Ambrosia Salad'],
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['salad', 'warm', 'America', 'mixed', 4, 'Crab Louie'],
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['salad', 'hot', 'America', 'mixed', 4, 'Taco salad'],
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['salad', 'warm', 'Asia', 'mixed', 4, 'Singju'],
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['salad', 'cold', 'Asia', 'mixed', 4, 'Rojak'],
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['salad', 'hot', 'Asia', 'mixed', 4, 'Shirazi salad'],
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['salad', 'warm', 'Europe', 'mixed', 2, 'Urnebes'],
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['salad', 'hot', 'Europe', 'mixed', 2, 'Shopska salad'],
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['salad', 'cold', 'Europe', 'mixed', 2, 'Wurstsalat'],
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['salad', 'warm', 'Worldwide', 'mixed', 2, 'Garden Salad'],
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['salad', 'cold', 'Worldwide', 'mixed', 2, 'Mesclun'],
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['salad', 'hot', 'Worldwide', 'mixed', 2, 'Egg salad'],
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['salad', 'cold', 'America', 'mixed', 2, 'Watergate salad'],
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['salad', 'warm', 'America', 'mixed', 2, 'Michigan salad'],
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['salad', 'hot', 'America', 'mixed', 2, ''],
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['salad', 'warm', 'Asia', 'mixed', 2, 'Yam thua phu'],
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['salad', 'cold', 'Asia', 'mixed', 2, 'Som tam'],
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['salad', 'hot', 'Asia', 'mixed', 2, 'Yam pla duk fu'],
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['salad', 'warm', 'Europe', 'baked', 4, 'Roasted Pepper Panzanella'],
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['salad', 'hot', 'Europe', 'baked', 4, 'Walnut Salad with Fried Eggs'],
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['salad', 'cold', 'Europe', 'baked', 4, 'Frisée and Wild Mushroom Salad with Poached Egg'],
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['salad', 'warm', 'Worldwide', 'baked', 4, 'Grilled Mushrooms and Carrots with Sesame'],
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['salad', 'cold', 'Worldwide', 'baked', 4, 'Coleslaw'],
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['salad', 'hot', 'Worldwide', 'baked', 4, 'Smashed Potato Salad'],
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['salad', 'cold', 'America', 'baked', 4, 'Wintery Beetroot and Lentil Salad'],
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['salad', 'warm', 'America', 'baked', 4, 'Cookie salad'],
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['salad', 'hot', 'America', 'baked', 4, 'Curtido'],
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['salad', 'warm', 'Asia', 'baked', 4, 'Urap'],
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['salad', 'cold', 'Asia', 'baked', 4, 'Quinoa Salad'],
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['salad', 'hot', 'Asia', 'baked', 4, 'Kosambari'],
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['salad', 'warm', 'Europe', 'baked', 2, 'Wilted Escarole Salad'],
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['salad', 'hot', 'Europe', 'baked', 2, 'Shrimp and Escarole Salad'],
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['salad', 'cold', 'Europe', 'baked', 2, 'Cappon magro'],
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['salad', 'warm', 'Worldwide', 'baked', 2, 'Carrot Salad'],
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['salad', 'cold', 'Worldwide', 'baked', 2, 'Smashed Potato Salad'],
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['salad', 'hot', 'Worldwide', 'baked', 2, 'Bistro Salad with Roasted Vegetables'],
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['salad', 'cold', 'America', 'baked', 2, 'Charred Romanesco with Anchovies and Mint'],
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['salad', 'warm', 'America', 'baked', 2, 'Warm Cauliflower and Herbed Barley Salad'],
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['salad', 'hot', 'America', 'baked', 2, 'Steak Salad with Horseradish Dressing'],
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['salad', 'warm', 'Asia', 'baked', 2, 'Steak Salad with Horseradish Dressing'],
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['salad', 'cold', 'Asia', 'baked', 2, 'Green papaya salad'],
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['salad', 'hot', 'Asia', 'baked', 2, 'Grilled Sesame Shrimp with Herb Salad'],
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['coffee', 'hot', 'Worldwide', 'boiled', 2, 'Espresso'],
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['coffee', 'warm', 'Worldwide', 'boiled', 2, 'Latte'],
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['coffee', 'cold', 'Worldwide', 'boiled', 2, 'Cappuccino'],
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['coffee', 'hot', 'Europe', 'boiled', 2, 'Affogato'],
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['coffee', 'warm', 'Europe', 'boiled', 2, 'Botz'],
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['coffee', 'cold', 'Europe', 'boiled', 2, 'Affogato'],
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['coffee', 'hot', 'America', 'boiled', 2, 'Café de olla'],
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['coffee', 'warm', 'America', 'boiled', 2, 'Double Double Coffee'],
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['coffee', 'cold', 'America', 'boiled', 2, 'Pocillo'],
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['coffee', 'hot', 'Asia', 'boiled', 2, 'Melya'],
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['coffee', 'warm', 'Asia', 'boiled', 2, 'borgia'],
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['coffee', 'cold', 'Asia', 'boiled', 2, 'Kaapi'],
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['coffee', 'hot', 'Worldwide', 'mixed', 2, 'Nescafé'],
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['coffee', 'warm', 'Worldwide', 'mixed', 2, 'Moccona'],
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['coffee', 'cold', 'Worldwide', 'mixed', 2, 'Kenco'],
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['coffee', 'hot', 'Europe', 'mixed', 2, 'Frappé'],
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['coffee', 'warm', 'Europe', 'mixed', 2, 'Marocchino'],
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['coffee', 'cold', 'Europe', 'mixed', 2, 'Shakerato'],
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['coffee', 'hot', 'America', 'mixed', 2, 'Mazagran'],
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['coffee', 'warm', 'America', 'mixed', 2, 'Medici'],
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['coffee', 'cold', 'America', 'mixed', 2, 'Palazzo'],
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['coffee', 'hot', 'Asia', 'mixed', 2, 'Qishr.'],
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['coffee', 'warm', 'Asia', 'mixed', 2, 'Egg Coffee'],
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['coffee', 'cold', 'Asia', 'mixed', 2, 'Yuanyang'],
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['tea', 'warm', 'Asia', 'boiled', 2, 'Bubble Tea'],
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['tea', 'hot', 'Asia', 'boiled', 2, 'White Tea'],
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['tea', 'cold', 'Asia', 'boiled', 2, 'Pu Erh'],
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['tea', 'warm', 'Asia', 'boiled', 4, 'Hong Kong-Style Milk Tea'],
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['tea', 'hot', 'Asia', 'boiled', 4, 'Darjeeling'],
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['tea', 'cold', 'Asia', 'boiled', 4, 'Butter Tea'],
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['tea', 'warm', 'Europe', 'boiled', 2, 'Earl Grey'],
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['tea', 'hot', 'Europe', 'boiled', 2, 'Wild Lily Tea'],
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['tea', 'cold', 'Europe', 'boiled', 2, 'Chamomilla Bohemica'],
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['tea', 'warm', 'America', 'boiled', 2, 'Argo Tea'],
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['tea', 'hot', 'America', 'boiled', 2, 'Bigelow Tea'],
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['tea', 'cold', 'America', 'boiled', 2, 'American Tea'],
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['tea', 'warm', 'Worldwide', 'boiled', 2, 'Yellow tea'],
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['tea', 'hot', 'Worldwide', 'boiled', 2, 'Mulberry black tea'],
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['tea', 'cold', 'Worldwide', 'boiled', 2, 'Chai'],
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['non-alcho drink', 'warm', 'Worldwide', 'mixed', 2, 'Lager'],
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['non-alcho drink', 'hot', 'Worldwide', 'mixed', 2, 'Chocoart'],
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['non-alcho drink', 'cold', 'Worldwide', 'mixed', 2, 'Pucko'],
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['non-alcho drink', 'warm', 'Europe', 'mixed', 2, 'Pinolillo'],
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['non-alcho drink', 'hot', 'Europe', 'mixed', 2, 'Pópo'],
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['non-alcho drink', 'cold', 'Europe', 'mixed', 2, 'Pozol'],
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['non-alcho drink', 'warm', 'Asia', 'mixed', 2, 'Milo'],
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['non-alcho drink', 'hot', 'Asia', 'mixed', 2, 'Tejate'],
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['non-alcho drink', 'cold', 'Asia', 'mixed', 2, 'Soju'],
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['non-alcho drink', 'warm', 'America', 'mixed', 2, 'Xicolatada'],
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['non-alcho drink', 'hot', 'America', 'mixed', 2, 'Swiss Miss'],
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['non-alcho drink', 'cold', 'America', 'mixed', 2, 'Mate'],
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['non-alcho drink', 'warm', 'Worldwide', 'boiled', 2, 'Barley water'],
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['non-alcho drink', 'hot', 'Worldwide', 'boiled', 2, 'Egg cream'],
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['non-alcho drink', 'cold', 'Worldwide', 'boiled', 2, 'Mulled apple juice'],
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['non-alcho drink', 'warm', 'Europe', 'boiled', 2, 'Cola Cao'],
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['non-alcho drink', 'hot', 'Europe', 'boiled', 2, 'Kókómjólk'],
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['non-alcho drink', 'cold', 'Europe', 'boiled', 2, 'Tascalate'],
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['non-alcho drink', 'warm', 'Asia', 'boiled', 2, 'Choc-Ola'],
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['non-alcho drink', 'hot', 'Asia', 'boiled', 2, 'Akta-Vite'],
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['non-alcho drink', 'cold', 'Asia', 'boiled', 2, 'Banania'],
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['non-alcho drink', 'warm', 'America', 'boiled', 2, 'Caipirinha'],
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['non-alcho drink', 'hot', 'America', 'boiled', 2, 'Pisco sour'],
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['non-alcho drink', 'cold', 'America', 'boiled', 2, 'Rum swizzle'],
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['meal', 'warm', 'Worldwide', 'mixed', 2, 'Lasagna'],
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['meal', 'hot', 'Worldwide', 'mixed', 2, 'Chicken Pot Pie'],
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['meal', 'cold', 'Worldwide', 'mixed', 2, 'Smothered Pork Chops'],
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['meal', 'warm', 'Europe', 'mixed', 2, 'Gumbo'],
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['meal', 'hot', 'Europe', 'mixed', 2, 'Chicken Tortilla Soup'],
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['meal', 'cold', 'Europe', 'mixed', 2, 'Potato Pinwheels'],
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['meal', 'warm', 'Asia', 'mixed', 2, 'Tex-Mex'],
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['meal', 'hot', 'Asia', 'mixed', 2, 'Manti'],
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['meal', 'cold', 'Asia', 'mixed', 2, 'Khichdi'],
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['meal', 'warm', 'America', 'mixed', 2, 'Kansas City-style barbecue'],
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['meal', 'hot', 'America', 'mixed', 2, 'Barbecue in Texas'],
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['meal', 'cold', 'America', 'mixed', 2, 'Sloppy joe'],
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['meal', 'warm', 'Worldwide', 'boiled', 2, 'Hot dog'],
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['meal', 'hot', 'Worldwide', 'boiled', 2, 'Pesto Boiled Potatoes'],
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['meal', 'cold', 'Worldwide', 'boiled', 2, 'Spinach Soup'],
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['meal', 'warm', 'Europe', 'boiled', 2, 'Jambalaya'],
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['meal', 'hot', 'Europe', 'boiled', 2, 'Black Chickpeas'],
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['meal', 'cold', 'Europe', 'boiled', 2, 'Vegetable Soup'],
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['meal', 'warm', 'Asia', 'boiled', 2, 'Gumbo'],
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['meal', 'hot', 'Asia', 'boiled', 2, 'Dirty Rice'],
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['meal', 'cold', 'Asia', 'boiled', 2, 'Hawaiian haystack'],
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['meal', 'warm', 'America', 'boiled', 2, 'Goetta'],
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['meal', 'hot', 'America', 'boiled', 2, 'Chaudin'],
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['meal', 'cold', 'America', 'boiled', 2, 'Goetta'],
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['meal', 'warm', 'Worldwide', 'baked', 2, 'Chicken Curry'],
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['meal', 'hot', 'Worldwide', 'baked', 2, 'Fugazza'],
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['meal', 'cold', 'Worldwide', 'baked', 2, 'Halloumi and watermelon'],
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['meal', 'warm', 'Europe', 'baked', 2, 'Moussaka'],
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['meal', 'hot', 'Europe', 'baked', 2, 'Köttbullar'],
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['meal', 'cold', 'Europe', 'baked', 2, 'Haggis'],
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['meal', 'warm', 'Asia', 'baked', 2, 'Hainanese Chicken Rice'],
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['meal', 'hot', 'Asia', 'baked', 2, 'Chicken bog'],
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['meal', 'cold', 'Asia', 'baked', 2, 'Yeung Chow fried rice'],
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['meal', 'warm', 'America', 'baked', 2, 'Mexican pizza'],
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['meal', 'hot', 'America', 'baked', 2, 'California-style pizza'],
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['meal', 'cold', 'America', 'baked', 2, 'Chocolate pizza'],
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['meal', 'warm', 'Worldwide', 'mixed', 4, 'Pizza cake'],
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['meal', 'hot', 'Worldwide', 'mixed', 4, 'Pan Pizza'],
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['meal', 'cold', 'Worldwide', 'mixed', 4, 'Neapolitan pizza'],
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['meal', 'warm', 'Europe', 'mixed', 4, 'Palatschinken'],
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['meal', 'hot', 'Europe', 'mixed', 4, 'Currywurst'],
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['meal', 'cold', 'Europe', 'mixed', 4, 'Potica'],
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['meal', 'warm', 'Asia', 'mixed', 4, 'Sushi'],
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['meal', 'hot', 'Asia', 'mixed', 4, 'Satay'],
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['meal', 'cold', 'Asia', 'mixed', 4, 'Laksa'],
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['meal', 'warm', 'America', 'mixed', 4, 'Simple Shepherd’s Pie'],
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['meal', 'hot', 'America', 'mixed', 4, 'Apple Pie'],
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['meal', 'cold', 'America', 'mixed', 4, 'American burnt onion dip'],
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['meal', 'warm', 'Worldwide', 'boiled', 4, 'Fries'],
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['meal', 'hot', 'Worldwide', 'boiled', 4, 'Cheese fondue'],
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['meal', 'cold', 'Worldwide', 'boiled', 4, 'Goulash'],
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['meal', 'warm', 'Europe', 'boiled', 4, 'Arancini'],
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['meal', 'hot', 'Europe', 'boiled', 4, 'Pierogi'],
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['meal', 'cold', 'Europe', 'boiled', 4, 'Waffles'],
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['meal', 'warm', 'Asia', 'boiled', 4, 'Tom Yum'],
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['meal', 'hot', 'Asia', 'boiled', 4, 'Calas'],
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['meal', 'cold', 'Asia', 'boiled', 4, 'Dim Sum'],
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['meal', 'warm', 'America', 'boiled', 4, 'Glorified rice'],
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['meal', 'hot', 'America', 'boiled', 4, 'Hominy Grits'],
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['meal', 'cold', 'America', 'boiled', 4, 'Spring Rolls'],
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['meal', 'warm', 'Worldwide', 'baked', 4, 'Fish and Chips'],
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['meal', 'hot', 'Worldwide', 'baked', 4, 'Fried Rice'],
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['meal', 'cold', 'Worldwide', 'baked', 4, 'Black Bean Burger'],
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['meal', 'warm', 'Europe', 'baked', 4, 'Sweet Potato Pasta Bake'],
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['meal', 'hot', 'Europe', 'baked', 4, 'Oven-Baked Meatballs'],
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['meal', 'cold', 'Europe', 'baked', 4, 'Sheet-Pan Greek Chicken and Veggies'],
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['meal', 'warm', 'Asia', 'baked', 4, 'Fish Balls'],
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['meal', 'hot', 'Asia', 'baked', 4, 'Thai Coconut Braised Chicken and Potatoes'],
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['meal', 'cold', 'Asia', 'baked', 4, 'Teriyaki Tofu and Broccoli'],
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['meal', 'warm', 'America', 'baked', 4, 'Pecan pie with maple cream'],
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['meal', 'hot', 'America', 'baked', 4, 'Breaded Chicken Spinach Burgers'],
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['meal', 'cold', 'America', 'baked', 4, 'Oven-Baked Fajitas'],
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]
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dish = uniq_val_from_data(training_data, 0)
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served = uniq_val_from_data(training_data, 1)
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origin = uniq_val_from_data(training_data, 2)
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cooked = uniq_val_from_data(training_data, 3)
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ingredients = uniq_val_from_data(training_data, 4)
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# We can also use this function instead of the direct appending to the list
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'''
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rand_data = []
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for each in range(0, len(training_data)-1):
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rand_data.append(uniq_val_from_data(training_data, each))
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'''
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rand_data = [dish, served, origin, cooked, ingredients]
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def client_ordering():
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#generate an order
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order = []
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for i in range(0, len(tree_format)-1):
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tmpr = random.sample(rand_data[i], 1)
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order.append(tmpr[0])
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order.append('order')
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return order
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#print(len(training_data))
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