diff --git a/.gitignore b/.gitignore index ea14521..de0e726 100644 --- a/.gitignore +++ b/.gitignore @@ -2,4 +2,5 @@ server/.venv .venv .vscode __pycache__ -.env \ No newline at end of file +.env +.idea \ No newline at end of file diff --git a/README.md b/README.md index e12ec9a..9c118b3 100644 --- a/README.md +++ b/README.md @@ -27,7 +27,7 @@ This README provides instructions on how to set up the environment, install depe 3. **Install Dependencies** Install the required Python packages: ```bash - pip install -r requirements.txt + uv pip install -r requirements.txt ``` 4. **Install `uv` and Sync It** diff --git a/client/.eslintrc.json b/client/.eslintrc.json deleted file mode 100644 index 3722418..0000000 --- a/client/.eslintrc.json +++ /dev/null @@ -1,3 +0,0 @@ -{ - "extends": ["next/core-web-vitals", "next/typescript"] -} diff --git a/client/.gitignore b/client/.gitignore deleted file mode 100644 index fd3dbb5..0000000 --- a/client/.gitignore +++ /dev/null @@ -1,36 +0,0 @@ -# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. - -# dependencies -/node_modules -/.pnp -.pnp.js -.yarn/install-state.gz - -# testing -/coverage - -# next.js -/.next/ -/out/ - -# production -/build - -# misc -.DS_Store -*.pem - -# debug -npm-debug.log* -yarn-debug.log* -yarn-error.log* - -# local env files -.env*.local - -# vercel -.vercel - -# typescript -*.tsbuildinfo -next-env.d.ts diff --git a/client/README.md b/client/README.md deleted file mode 100644 index e215bc4..0000000 --- a/client/README.md +++ /dev/null @@ -1,36 +0,0 @@ -This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app). - -## Getting Started - -First, run the development server: - -```bash -npm run dev -# or -yarn dev -# or -pnpm dev -# or -bun dev -``` - -Open [http://localhost:3000](http://localhost:3000) with your browser to see the result. - -You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file. - -This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel. - -## Learn More - -To learn more about Next.js, take a look at the following resources: - -- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API. -- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial. - -You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome! - -## Deploy on Vercel - -The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js. - -Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details. diff --git a/client/app/about/page.tsx b/client/app/about/page.tsx deleted file mode 100644 index 1a01e00..0000000 --- a/client/app/about/page.tsx +++ /dev/null @@ -1,9 +0,0 @@ -import Navbar from "../components/navbar"; - -export default function ContactPage() { - return( - <> - - - ); -} diff --git a/client/app/components/food_card.tsx b/client/app/components/food_card.tsx deleted file mode 100644 index c57a044..0000000 --- a/client/app/components/food_card.tsx +++ /dev/null @@ -1,74 +0,0 @@ -import { Card, CardBody ,CardFooter} from "@nextui-org/card"; -import { Image } from "@nextui-org/image"; -import { FoodItemCategory } from "../lib/type"; -import Link from "next/link"; - -interface FoodCardProps { - food_item: FoodItemCategory; - allergy_info?: string; - recom: string; - isPersonalised: boolean; -} - -export default function FoodCard({ - food_item, - allergy_info, - recom, - isPersonalised, -}: FoodCardProps) { - return ( - - - {/* Image Container */} -
- - {`picture - -
- {/* Text Content */} -
- {food_item.item_name} -
-
- - - - Rating:{" "} - {food_item.final_rating} - - {/* Render allergy and recommendation info only if personalized */} - {isPersonalised && ( - <> - {/* Allergy Info Label */} - {allergy_info === "Yes" ? ( - Allergic - ) : allergy_info === "No" ? ( - - Not Allergic - - ) : null} - - {/* Recommendation Label */} - - {recom === "Bad" ? `Not Recommended` : `Recommended: ${recom}`} - - - )} - -
- ); -} diff --git a/client/app/components/form_upload.tsx b/client/app/components/form_upload.tsx deleted file mode 100644 index cd4a522..0000000 --- a/client/app/components/form_upload.tsx +++ /dev/null @@ -1,157 +0,0 @@ -import { useState } from "react"; -import api from "../lib/api"; - -export default function Form() { - const [nutrition, setNutrition] = useState({ - "NUTRITION.ENERGY": 0, - "NUTRITION.PROTEIN": 0, - "NUTRITION.CARBOHYDRATE": 0, - "NUTRITION.TOTAL_SUGARS": 0, - "NUTRITION.ADDED_SUGARS": 0, - "NUTRITION.TOTAL_FAT": 0, - "NUTRITION.SATURATED_FAT": 0, - "NUTRITION.FIBER": 0, - "NUTRITION.SODIUM": 0, - }); - - const [rating, setRating] = useState(0); // Add this line to store the rating - - const handleInputChange = (event: React.ChangeEvent) => { - const { name, value } = event.target; - setNutrition({ ...nutrition, [name]: parseFloat(value) }); - }; - - const handleSubmit = async (event: React.FormEvent) => { - event.preventDefault(); - await api - .post("/food_items/rating", nutrition) // Make a POST request to the API - .then((response) => { - setRating(response.data.Rating); // Update the rating state - }) - .catch((error) => { - console.error(error); - }); - }; - - return ( -
-
-

NUTRITION FORM

-
-
-
-
-
- - -
-
- - -
-
- - -
-
- - -
-
- - -
-
- - -
-
- - -
-
- - -
-
- - -
-
- -
-
- {rating && ( // Display the rating below the form -
Rating: {rating.toFixed(2)}/5.0
- )} -
- ); -} diff --git a/client/app/components/navbar.tsx b/client/app/components/navbar.tsx deleted file mode 100644 index 93c95e8..0000000 --- a/client/app/components/navbar.tsx +++ /dev/null @@ -1,46 +0,0 @@ -import Link from "next/link"; -import { Image } from "@nextui-org/image"; - -export default function Navbar() { - return ( -
- -
- ); -} diff --git a/client/app/components/upload.tsx b/client/app/components/upload.tsx deleted file mode 100644 index 1503ac4..0000000 --- a/client/app/components/upload.tsx +++ /dev/null @@ -1,51 +0,0 @@ -import { useState } from "react"; - -export default function Upload() { - const [image, setImage] = useState(null); // State variable to store the image URL - - // Function to handle file input change - const handleImageUpload = (e: React.ChangeEvent) => { - const file = e.target.files?.[0]; - - // Check if the file is a PNG or JPG - if (file && (file.type === "image/png" || file.type === "image/jpeg")) { - const reader = new FileReader(); - reader.onloadend = () => { - const imageDataUrl = reader.result; - - // Ensure imageDataUrl is a string before storing - if (typeof imageDataUrl === "string") { - // Store in local storage - localStorage.setItem("uploadedImage", imageDataUrl); - - // Or store in state variable - setImage(imageDataUrl); - } - }; - reader.readAsDataURL(file); - } else { - alert("Please upload an image in PNG or JPG format."); - } - }; - - return ( -
-
-

Upload the nutritional label

-
- - - {/* Display uploaded image */} - {image && ( -
-

Uploaded Image:

- Uploaded -
- )} -
- ); -} diff --git a/client/app/contact/page.tsx b/client/app/contact/page.tsx deleted file mode 100644 index 1a01e00..0000000 --- a/client/app/contact/page.tsx +++ /dev/null @@ -1,9 +0,0 @@ -import Navbar from "../components/navbar"; - -export default function ContactPage() { - return( - <> - - - ); -} diff --git a/client/app/favicon.ico b/client/app/favicon.ico deleted file mode 100644 index 718d6fe..0000000 Binary files a/client/app/favicon.ico and /dev/null differ diff --git a/client/app/fonts/GeistMonoVF.woff b/client/app/fonts/GeistMonoVF.woff deleted file mode 100644 index f2ae185..0000000 Binary files a/client/app/fonts/GeistMonoVF.woff and /dev/null differ diff --git a/client/app/fonts/GeistVF.woff b/client/app/fonts/GeistVF.woff deleted file mode 100644 index 1b62daa..0000000 Binary files a/client/app/fonts/GeistVF.woff and /dev/null differ diff --git a/client/app/food_item/[item_id]/page.tsx b/client/app/food_item/[item_id]/page.tsx deleted file mode 100644 index 570d31e..0000000 --- a/client/app/food_item/[item_id]/page.tsx +++ /dev/null @@ -1,85 +0,0 @@ -import Navbar from "@/app/components/navbar"; -import api from "@/app/lib/api"; -import { FoodItem } from "@/app/lib/type"; -import { Image } from "@nextui-org/image"; - -async function GetFoodItem(id: string): Promise { - const data = await api - .get(`/food_items/${id}`) - .then((response) => response.data); - return data; -} - -export default async function ItemPage({ - params: { item_id }, -}: { - params: { item_id: string }; -}) { - const foodItem = await GetFoodItem(item_id); - - return ( - <> - -
- {/* Image div with equal width and centered image */} -
- Food Item Image -
- - {/* Content div with equal width */} -
-

{foodItem.item_name}

- -
-

Nutrition:

- {foodItem.nutrition ? ( -
    - {Object.keys(foodItem.nutrition).map((key) => ( -
  • {`${key}: ${foodItem.nutrition[key]}`}
  • - ))} -
- ) : ( -

None

- )} -
-
-

Ingredients:

-
    - {foodItem.ingredients.map((ingredient, index) => ( -
  • {ingredient}
  • - ))} -
-
-
-
- - ); -} diff --git a/client/app/food_item/category/[category]/page.tsx b/client/app/food_item/category/[category]/page.tsx deleted file mode 100644 index c545397..0000000 --- a/client/app/food_item/category/[category]/page.tsx +++ /dev/null @@ -1,236 +0,0 @@ -"use client"; -import Navbar from "@/app/components/navbar"; -import FoodCard from "../../../components/food_card"; -import api from "../../../lib/api"; -import { FoodItemCategory, Profile } from "../../../lib/type"; -import { useEffect, useState } from "react"; - -// Function to get food items based on the toggle state and sorting parameters -async function getFoodItems( - category: string, - sortBy: string, - sortOrder: string, - toggle: boolean -): Promise { - const profileId = localStorage.getItem("user_profile_id"); - // Handle case for chocolate and toffee categories together - if (category === "chocolate" || category === "toffee") { - if (toggle) { - const [chocolateData, toffeeData] = await Promise.all([ - api - .get(`/food_items/category/chocolate/filter/${profileId}`, { - params: { sort_by: sortBy, sort_order: sortOrder }, - }) - .then((response) => response.data), - api - .get(`/food_items/category/toffee/filter/${profileId}`, { - params: { sort_by: sortBy, sort_order: sortOrder }, - }) - .then((response) => response.data), - ]); - return [...chocolateData, ...toffeeData]; - } else { - const [chocolateData, toffeeData] = await Promise.all([ - api - .get(`/food_items/category/chocolate`, { - params: { sort_by: sortBy, sort_order: sortOrder }, - }) - .then((response) => response.data), - api - .get(`/food_items/category/toffee`, { - params: { sort_by: sortBy, sort_order: sortOrder }, - }) - .then((response) => response.data), - ]); - return [...chocolateData, ...toffeeData]; - } - } else { - // Handle all other categories - if (toggle) { - const res = await api - .get(`/food_items/${category}/filter/${profileId}`, { - params: { - sort_by: sortBy, - sort_order: sortOrder, - }, - }) - .then((response) => response.data); - return res; - } else { - const res = await api - .get(`/food_items/category/${category}`, { - params: { - sort_by: sortBy, - sort_order: sortOrder, - }, - }) - .then((response) => response.data); - return res; - } - } -} - -async function getUserProfile(): Promise { - const user_id = localStorage.getItem("user_profile_id"); - if (user_id) { - const data = await api - .get(`/profiles/${user_id}`) - .then((response) => response.data); - return data; - } - return null; -} - -async function ifAllergic( - food_item: FoodItemCategory, - is_personalised: boolean -): Promise { - const user_profile = await getUserProfile(); - if (!is_personalised || !user_profile) { - return undefined; - } - const allergy_info = user_profile.allergy_info; - for (const allergy of allergy_info || []) { - if (food_item.allergy_info?.includes(allergy)) { - return "Yes"; // Return "Yes" if allergic - } - } - return "No"; -} - -function isRecom(item: FoodItemCategory) { - if (item.personalised_score > 3.5) { - return "Good"; - } else if (item.personalised_score > 2) { - return "Ok"; - } else { - return "Bad"; - } -} - -export default function CategoryPage({ - params: { category }, -}: { - params: { category: string }; -}) { - const [items, setItems] = useState([]); - const [sortBy, setSortBy] = useState("item_name"); - const [sortOrder, setSortOrder] = useState("asc"); - const [isPersonalized, setIsPersonalized] = useState(false); // Toggle state - const [allergyInfo, setAllergyInfo] = useState<{ - [key: string]: string | undefined; - }>({}); - - useEffect(() => { - async function fetchAllergyInfo() { - if (isPersonalized) { - const info: { [key: string]: string | undefined } = {}; - for (const item of items) { - info[item._id] = await ifAllergic(item, isPersonalized); - } - setAllergyInfo(info); - } else { - setAllergyInfo({}); // Clear allergy info when not personalized - } - } - - fetchAllergyInfo(); - }, [items, isPersonalized]); - - useEffect(() => { - async function fetchItems() { - const items = await getFoodItems( - category, - sortBy, - sortOrder, - isPersonalized - ); - setItems(items); - } - fetchItems(); - }, [category, sortBy, sortOrder, isPersonalized]); - - // Handler for sort change - const handleSortChange = (e: React.ChangeEvent) => { - setSortBy(e.target.value); - }; - - // Handler for sort order change - const handleSortOrderChange = (e: React.ChangeEvent) => { - setSortOrder(e.target.value); - }; - - // Handler for toggle change - const handleToggleChange = (e: React.ChangeEvent) => { - setIsPersonalized(e.target.checked); - }; - - return ( - <> - -
- - - {/* Display Food Items */} -
- {items.map((item) => - !isPersonalized ? ( - - ) : ( - - ) - )} -
-
- - ); -} diff --git a/client/app/globals.css b/client/app/globals.css deleted file mode 100644 index 13d40b8..0000000 --- a/client/app/globals.css +++ /dev/null @@ -1,27 +0,0 @@ -@tailwind base; -@tailwind components; -@tailwind utilities; - -:root { - --background: #ffffff; - --foreground: #171717; -} - -@media (prefers-color-scheme: dark) { - :root { - --background: #0a0a0a; - --foreground: #ededed; - } -} - -body { - color: var(--foreground); - background: var(--background); - font-family: Arial, Helvetica, sans-serif; -} - -@layer utilities { - .text-balance { - text-wrap: balance; - } -} diff --git a/client/app/home/page.tsx b/client/app/home/page.tsx deleted file mode 100644 index 030444d..0000000 --- a/client/app/home/page.tsx +++ /dev/null @@ -1,40 +0,0 @@ -"use client"; -import Link from "next/link"; -import { cardProps } from "../lib/mock_data"; -import Navbar from "../components/navbar"; - -export default function Home() { - const list = cardProps; - - return ( - <> - -
-
-

Food Category

-
- -
- {list.map((item) => ( -
-
- {/* Make sure the image scales correctly /} */} - {item.title} -
- {/* {/ Ensure footer sticks to the bottom */} - -
- {item.title} -
- -
- ))} -
-
- - ); -} diff --git a/client/app/layout.tsx b/client/app/layout.tsx deleted file mode 100644 index f6721cf..0000000 --- a/client/app/layout.tsx +++ /dev/null @@ -1,37 +0,0 @@ -import type { Metadata } from "next"; -import localFont from "next/font/local"; -import "./globals.css"; -import Navbar from "./components/navbar"; - -const geistSans = localFont({ - src: "./fonts/GeistVF.woff", - variable: "--font-geist-sans", - weight: "100 900", -}); -const geistMono = localFont({ - src: "./fonts/GeistMonoVF.woff", - variable: "--font-geist-mono", - weight: "100 900", -}); - -export const metadata: Metadata = { - title: "Create Next App", - description: "Generated by create next app", -}; - -export default function RootLayout({ - children, -}: Readonly<{ - children: React.ReactNode; -}>) { - return ( - - - - {children} - - - ); -} diff --git a/client/app/lib/api.ts b/client/app/lib/api.ts deleted file mode 100644 index 3ddd68d..0000000 --- a/client/app/lib/api.ts +++ /dev/null @@ -1,36 +0,0 @@ -import axios from "axios"; - -const REGISTER_URL = "http://localhost:5000/sign_up"; // Adjust if needed -const LOGIN_URL = "http://localhost:5000/login"; // Adjust if needed - -interface UserCredentials { - username: string; - password: string; -} - -interface ApiResponse { - id: string; -} - -export const registerUser = async ( - credentials: UserCredentials -): Promise => { - const response = await axios.post(REGISTER_URL, credentials); - return response.data; -}; - -export const loginUser = async ( - credentials: UserCredentials -): Promise => { - const response = await axios.post(LOGIN_URL, credentials); - return response.data; -}; - -const api = axios.create({ - baseURL: "http://localhost:5000/api", - headers: { - "Access-Control-Allow-Origin": "*", - }, -}); - -export default api; diff --git a/client/app/lib/mock_data.ts b/client/app/lib/mock_data.ts deleted file mode 100644 index ff1f91e..0000000 --- a/client/app/lib/mock_data.ts +++ /dev/null @@ -1,79 +0,0 @@ -import { CardProp } from "./type"; - -export const cardProps: CardProp[] = [ - { - _id: "PROTEIN POWDER", - title: "Protein Powder", - img: "/protein.jpg", - }, - { - _id: "PEANUT BUTTER", - title: "Peanut Butter", - img: "/peanut.jpg", - }, - { - title: "Baby Food", - img: "/baby.jpg", - _id: "BABY FOOD", - }, - { - title: "Chips", - img: "/chips.jpg", - _id: "CHIPS", - }, - { - title: "Packeted Juice", - img: "/packetjuice.jpg", - _id: "PACKETED JUICE", - }, - { - title: "Biscuits", - img: "/biscuit.jpg", - _id: "biscuit", - }, - { - title: "Namkeen", - img: "/namkeen.jpg", - _id: "namkeen", - }, - { - title: "Packeted Coffee/Lassi/Milkshake", - img: "/beverages.jpg", - _id: "coffee", - }, - { - title: "Protein Bars", - img: "/bar.jpg", - _id: "protein_bar", - }, - { - title: "Chocolate", - img: "/chocolate.jpg", - _id: "chocolate", - }, - { - title: "Instant Noodles", - img: "/noodles.jpg", - _id: "INSTANT NOODLES", - }, - { - title: "Bread", - img: "/bread.jpg", - _id: "BREAD", - }, - { - title: "Breakfast Spreads", - img: "/spread.jpg", - _id: "BREAKFAST SPREADS", - }, - { - title: "Bournvita / Horlicks", - img: "/bournvita.jpg", - _id: "MILK FLAVOURING", - }, - { - title: "Corn Flakes / Muesli", - img: "/museli.jpg", - _id: "CORN FLAKES", - }, -]; diff --git a/client/app/lib/type.ts b/client/app/lib/type.ts deleted file mode 100644 index e4f85ce..0000000 --- a/client/app/lib/type.ts +++ /dev/null @@ -1,50 +0,0 @@ -export interface CardProp { - _id: string; - title: string; - img: string; -} - -export interface Fetchy { - _id: string; - item_category: string; - item_name: string; - image_url: string; -} -export interface FoodItemCategory { - _id: string; - item_name: string; - item_category: string; - image_url: string; - final_rating: number; - allergy_info: string[] | null; - personalised_score: number; -} - -export interface FoodItem { - _id: string; - item_name: string; - item_category: string; - image_url: string; - final_rating: number; - health_impact_rating: number; - ingredient_quality_rating: number; - nutritional_content_rating: number; - nutrition?: { [key: string]: number }; - ingredients: string[]; -} - -export interface Profile { - _id: string; - account_id: string; - userType: string; - profile_name: string; - firstName: string; - lastName: string; - gender: string; - weight: number; - height: number; - age: number; - dietType: string; - allergy_info: string[] | null; - diseases: string | null; -} diff --git a/client/app/page.tsx b/client/app/page.tsx deleted file mode 100644 index 3c107d6..0000000 --- a/client/app/page.tsx +++ /dev/null @@ -1,99 +0,0 @@ -"use client"; -import React, { useState } from "react"; -import { useRouter } from "next/navigation"; - -export default function LoginPage() { - const [username, setUsername] = useState(""); - const [password, setPassword] = useState(""); - const [error, setError] = useState(null); - const [loading, setLoading] = useState(false); - const router = useRouter(); - - const handleLogin = async (e: React.FormEvent) => { - e.preventDefault(); - setError(null); - setLoading(true); - - try { - const response = await fetch("http://localhost:5000/login", { - method: "POST", - headers: { - "Content-Type": "application/json", - }, - body: JSON.stringify({ - username: username, // Send username instead of email - password: password, - }), - }); - - const data = await response.json(); - - if (response.ok) { - // Store the data (e.g., user ID) in localStorage - localStorage.setItem("userData", JSON.stringify(data)); - - // Redirect to the home page after successful login - router.push("/user"); - } else { - // Show error message if login fails - setError(data || "Login failed. Please try again."); - } - } catch (error) { - setError(`An error occurred. Please try again later.${error}`); - } finally { - setLoading(false); - } - }; - - return ( -
-
-

Login

-
-
- - setUsername(e.target.value)} - required - className="mt-1 text-black block w-full px-3 py-2 border border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-indigo-500 focus:border-indigo-500 sm:text-sm" - /> -
-
- - setPassword(e.target.value)} - required - className="mt-1 text-black block w-full px-3 py-2 border border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-indigo-500 focus:border-indigo-500 sm:text-sm" - /> -
- {error &&

{error}

} -
- -
-
-
-
- ); -} diff --git a/client/app/scan/page.tsx b/client/app/scan/page.tsx deleted file mode 100644 index a333cfa..0000000 --- a/client/app/scan/page.tsx +++ /dev/null @@ -1,56 +0,0 @@ -"use client"; -import { useState } from "react"; -import Content1 from "../components/upload"; -import Content2 from "../components/form_upload"; -import Navbar from "../components/navbar"; - -export default function IndexPage() { - const [activeButton, setActiveButton] = useState("button1"); - const [content, setContent] = useState(); - - const handleButtonClick = (buttonId: string) => { - setActiveButton(buttonId); - switch (buttonId) { - case "button1": - setContent(); - break; - case "button2": - setContent(); - break; - default: - setContent(
Unknown button
); - } - }; - - return ( - <> - -
-
- {/* Button Section */} -
- - -
- - {/* Content Section */} -
{content}
-
-
- - ); -} diff --git a/client/app/user/page.tsx b/client/app/user/page.tsx deleted file mode 100644 index 7dc0636..0000000 --- a/client/app/user/page.tsx +++ /dev/null @@ -1,261 +0,0 @@ -"use client"; -import { useState, useEffect } from "react"; -import { Image } from "@nextui-org/image"; -import Navbar from "../components/navbar"; -import { Profile } from "../lib/type"; -import api from "../lib/api"; -import { useRouter } from "next/navigation"; - -const calculateBMI = (weight: number, height: number) => { - if (weight && height) { - return (weight / (height * height)).toFixed(2); - } - return ""; -}; - -async function GetUsers(): Promise { - const user_id_obj = JSON.parse(localStorage.getItem("userData") || ""); - if (user_id_obj == "") { - return []; - } - const user_id = user_id_obj["id"]; - const data = await api - .get(`/user/${user_id}/profiles`) - .then((response) => response.data.profiles); - return data; -} - -function SaveUserProfile(user_id: string) { - localStorage.setItem("user_profile_id", user_id); -} - -export default function User() { - const [selectedUserID, setSelectedUserID] = useState( - undefined - ); - const [selectedUser, setSelectedUser] = useState(); - const [users, setUsers] = useState([]); - const router = useRouter(); - - useEffect(() => { - const fetchUsers = async () => { - const fetchedUsers = await GetUsers(); - setUsers(fetchedUsers); - }; - fetchUsers(); - }, []); - - useEffect(() => { - const user_id = localStorage.getItem("user_profile_id"); - if (user_id) { - setSelectedUserID(user_id); - } - }, []); - - useEffect(() => { - if (selectedUserID) { - const user = users.find((user) => user._id === selectedUserID); - if (user) { - setSelectedUser(user); - } else { - setSelectedUser(undefined); - } - } - }, [selectedUserID, users]); - - return ( - <> - -
-
-
- User Image -
-
- - -
-
-
- - setFirstName(e.target.value)} - placeholder="First Name" - className="w-full border-gray-300 text-black rounded-lg p-2 bg-gray-100" - /> -
- -
- - setLastName(e.target.value)} - placeholder="Last Name" - className="w-full border-gray-300 text-black rounded-lg p-2 bg-gray-100" - /> -
- -
- - -
- -
- - setWeight(e.target.value)} - placeholder="Weight" - className="w-full border-gray-300 text-black rounded-lg p-2 bg-gray-100" - /> -
- -
- - setHeight(e.target.value)} - placeholder="Height" - className="w-full border-gray-300 text-black rounded-lg p-2 bg-gray-100" - /> -
- -
- - -
- -
- - -
- -
- - -
- -
- - setWeight(e.target.value)} - placeholder="Disease" - className="w-full border-gray-300 text-black rounded-lg p-2 bg-gray-100" - /> -
- - -
- - -
-
- - { - if (selectedUser) { - const allergiesArray = e.target.value - .split(",") - .map((allergy) => allergy.trim()); - setSelectedUser({ - ...selectedUser, - allergy_info: allergiesArray, - }); - } - }} - placeholder="Enter allergies separated by commas" - className="w-full border-gray-300 text-black rounded-lg p-2 bg-gray-100" - /> -
- -
-
-
- - ); -} diff --git a/client/next.config.mjs b/client/next.config.mjs deleted file mode 100644 index 4678774..0000000 --- a/client/next.config.mjs +++ /dev/null @@ -1,4 +0,0 @@ -/** @type {import('next').NextConfig} */ -const nextConfig = {}; - -export default nextConfig; diff --git a/client/package-lock.json b/client/package-lock.json deleted file mode 100644 index c831cb3..0000000 --- a/client/package-lock.json +++ /dev/null @@ -1,6873 +0,0 @@ -{ - "name": "client", - "version": "0.1.0", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "client", - "version": "0.1.0", - "dependencies": { - "@internationalized/date": "^3.5.6", - "@nextui-org/card": "^2.0.34", - "@nextui-org/date-picker": "^2.1.8", - "@nextui-org/divider": "^2.0.32", - "@nextui-org/image": "^2.0.32", - "axios": "^1.7.7", - "next": "^14.2.26", - "react": "^18", - "react-dom": "^18" - }, - "devDependencies": { - "@types/node": "^20", - "@types/react": "^18", - "@types/react-dom": "^18", - "eslint": "^8", - 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a/client/package.json b/client/package.json deleted file mode 100644 index 976cd2c..0000000 --- a/client/package.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "client", - "version": "0.1.0", - "private": true, - "scripts": { - "dev": "next dev", - "build": "next build", - "start": "next start", - "lint": "next lint" - }, - "dependencies": { - "@internationalized/date": "^3.5.6", - "@nextui-org/card": "^2.0.34", - "@nextui-org/date-picker": "^2.1.8", - "@nextui-org/divider": "^2.0.32", - "@nextui-org/image": "^2.0.32", - "axios": "^1.7.7", - "next": "^14.2.26", - "react": "^18", - "react-dom": "^18" - }, - "devDependencies": { - "@types/node": "^20", - "@types/react": "^18", - "@types/react-dom": "^18", - "eslint": "^8", - "eslint-config-next": "14.2.15", - "postcss": "^8", - "tailwindcss": "^3.4.1", - "typescript": "^5" - } -} diff --git a/client/postcss.config.mjs b/client/postcss.config.mjs deleted file mode 100644 index 1a69fd2..0000000 --- a/client/postcss.config.mjs +++ /dev/null @@ -1,8 +0,0 @@ -/** @type {import('postcss-load-config').Config} */ -const config = { - plugins: { - tailwindcss: {}, - }, -}; - -export default config; diff --git a/client/public/baby.jpg b/client/public/baby.jpg deleted file mode 100644 index 25443e8..0000000 Binary files a/client/public/baby.jpg and /dev/null differ diff --git a/client/public/bar.jpg b/client/public/bar.jpg deleted file mode 100644 index f5199ba..0000000 Binary files a/client/public/bar.jpg and /dev/null differ diff --git a/client/public/beverages.jpg b/client/public/beverages.jpg deleted file mode 100644 index 11b7128..0000000 Binary files a/client/public/beverages.jpg and /dev/null differ diff --git a/client/public/biscuit.jpg b/client/public/biscuit.jpg deleted file mode 100644 index b9ba592..0000000 Binary files a/client/public/biscuit.jpg and /dev/null differ diff --git a/client/public/bournvita.jpg b/client/public/bournvita.jpg deleted file mode 100644 index fbd2358..0000000 Binary files a/client/public/bournvita.jpg and /dev/null differ diff --git a/client/public/bread.jpg b/client/public/bread.jpg deleted file mode 100644 index 3e35b9a..0000000 Binary files a/client/public/bread.jpg and /dev/null differ diff --git a/client/public/chips.jpg b/client/public/chips.jpg deleted file mode 100644 index 2fd104f..0000000 Binary files a/client/public/chips.jpg and /dev/null differ diff --git a/client/public/chocolate.jpg b/client/public/chocolate.jpg deleted file mode 100644 index 7b015d7..0000000 Binary files a/client/public/chocolate.jpg and /dev/null differ diff --git a/client/public/image1.avif b/client/public/image1.avif deleted file mode 100644 index f971bf4..0000000 Binary files a/client/public/image1.avif and /dev/null differ diff --git a/client/public/image2.jpg b/client/public/image2.jpg deleted file mode 100644 index 45d8f6e..0000000 Binary files a/client/public/image2.jpg and /dev/null differ diff --git a/client/public/museli.jpg b/client/public/museli.jpg deleted file mode 100644 index f8b538f..0000000 Binary files a/client/public/museli.jpg and /dev/null differ diff --git a/client/public/namkeen.jpg b/client/public/namkeen.jpg deleted file mode 100644 index 06ffc61..0000000 Binary files a/client/public/namkeen.jpg and /dev/null differ diff --git a/client/public/noodles.jpg b/client/public/noodles.jpg deleted file mode 100644 index 90b0f19..0000000 Binary files a/client/public/noodles.jpg and /dev/null differ diff --git a/client/public/packetjuice.jpg b/client/public/packetjuice.jpg deleted file mode 100644 index bc9185f..0000000 Binary files a/client/public/packetjuice.jpg and /dev/null differ diff --git a/client/public/peanut.jpg b/client/public/peanut.jpg deleted file mode 100644 index 4a03514..0000000 Binary files a/client/public/peanut.jpg and /dev/null differ diff --git a/client/public/protein.jpg b/client/public/protein.jpg deleted file mode 100644 index b645a14..0000000 Binary files a/client/public/protein.jpg and /dev/null differ diff --git a/client/public/spread.jpg b/client/public/spread.jpg deleted file mode 100644 index c364499..0000000 Binary files a/client/public/spread.jpg and /dev/null differ diff --git a/client/public/user.png b/client/public/user.png deleted file mode 100644 index 6744509..0000000 Binary files a/client/public/user.png and /dev/null differ diff --git a/client/tailwind.config.ts b/client/tailwind.config.ts deleted file mode 100644 index d43da91..0000000 --- a/client/tailwind.config.ts +++ /dev/null @@ -1,19 +0,0 @@ -import type { Config } from "tailwindcss"; - -const config: Config = { - content: [ - "./pages/**/*.{js,ts,jsx,tsx,mdx}", - "./components/**/*.{js,ts,jsx,tsx,mdx}", - "./app/**/*.{js,ts,jsx,tsx,mdx}", - ], - theme: { - extend: { - colors: { - background: "var(--background)", - foreground: "var(--foreground)", - }, - }, - }, - plugins: [], -}; -export default config; diff --git a/client/tsconfig.json b/client/tsconfig.json deleted file mode 100644 index e7ff90f..0000000 --- a/client/tsconfig.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "compilerOptions": { - "lib": ["dom", "dom.iterable", "esnext"], - "allowJs": true, - "skipLibCheck": true, - "strict": true, - "noEmit": true, - "esModuleInterop": true, - "module": "esnext", - "moduleResolution": "bundler", - "resolveJsonModule": true, - "isolatedModules": true, - "jsx": "preserve", - "incremental": true, - "plugins": [ - { - "name": "next" - } - ], - "paths": { - "@/*": ["./*"] - } - }, - "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"], - "exclude": ["node_modules"] -} diff --git a/data/Ingredients/ingredients_deepseek.csv b/data/Ingredients/ingredients_deepseek.csv new file mode 100644 index 0000000..4f3efff --- /dev/null +++ b/data/Ingredients/ingredients_deepseek.csv @@ -0,0 +1,100 @@ +Ingredient Name,Category,Nutritional Value,Processing Level,Health Impact,Regulatory Status,Final Quality Score +Whole Wheat Flour,Natural,High,Minimally Processed,Positive,Approved,4.7 +High Fructose Corn Syrup,Sweetener,Low,Ultra-Processed,Negative,Approved,1.2 +Soy Lecithin,Additive,Medium,Processed,Neutral,Approved,3.1 +Palm Oil,Natural,Medium,Processed,Negative,Approved,2.3 +Monosodium Glutamate (MSG),Additive,Low,Ultra-Processed,Neutral,Approved,2.8 +Calcium Carbonate,Additive,Medium,Minimally Processed,Positive,Approved,4.0 +Artificial Vanilla Flavor,Additive,Low,Ultra-Processed,Neutral,Approved,2.5 +Whey Protein,Natural,High,Minimally Processed,Positive,Approved,4.5 +Partially Hydrogenated Oil,Processed,Low,Ultra-Processed,Negative,Restricted,0.5 +Maltodextrin,Sweetener,Low,Ultra-Processed,Neutral,Approved,2.0 +Oat Fiber,Natural,High,Minimally Processed,Positive,Approved,4.6 +Carrageenan,Additive,Low,Processed,Negative,Approved,1.8 +Cocoa Powder,Natural,High,Minimally Processed,Positive,Approved,4.4 +Sodium Nitrite,Preservative,Low,Ultra-Processed,Negative,Approved,1.5 +Malt Extract,Natural,Medium,Processed,Neutral,Approved,3.3 +Ascorbic Acid (Vitamin C),Additive,Medium,Processed,Positive,Approved,4.8 +TBHQ (Preservative),Preservative,Low,Ultra-Processed,Negative,Approved,0.8 +Dried Skim Milk,Natural,High,Processed,Positive,Approved,4.2 +Artificial Strawberry Flavor,Additive,Low,Ultra-Processed,Neutral,Approved,2.1 +Xanthan Gum,Additive,Medium,Processed,Neutral,Approved,3.0 +Soy Protein Isolate,Natural,High,Processed,Positive,Approved,4.1 +Annatto Color,Additive,Low,Processed,Neutral,Approved,2.9 +Inulin Fiber,Natural,High,Minimally Processed,Positive,Approved,4.3 +Potassium Sorbate,Preservative,Low,Processed,Neutral,Approved,2.7 +Corn Starch,Natural,Low,Processed,Neutral,Approved,3.2 +Guar Gum,Additive,Medium,Processed,Neutral,Approved,3.4 +Sucralose,Sweetener,Low,Ultra-Processed,Negative,Approved,1.7 +Dicalcium Phosphate,Additive,Medium,Processed,Positive,Approved,3.8 +Natural Butter Flavor,Additive,Low,Processed,Neutral,Approved,2.6 +Soybean Oil,Natural,Medium,Processed,Neutral,Approved,3.5 +Lecithin (Sunflower),Additive,Medium,Processed,Neutral,Approved,3.6 +Dextrose,Sweetener,Low,Ultra-Processed,Negative,Approved,1.4 +Rice Flour,Natural,Medium,Minimally Processed,Positive,Approved,4.0 +Sodium Alginate,Additive,Low,Processed,Neutral,Approved,2.8 +Citric Acid,Additive,Low,Processed,Neutral,Approved,3.1 +Milk Powder,Natural,High,Processed,Positive,Approved,4.4 +Acesulfame Potassium,Sweetener,Low,Ultra-Processed,Negative,Approved,1.3 +Gelatin,Natural,Medium,Processed,Neutral,Approved,3.5 +Yeast Extract,Natural,Medium,Processed,Positive,Approved,3.9 +Sodium Benzoate,Preservative,Low,Ultra-Processed,Negative,Approved,1.6 +Tapioca Starch,Natural,Low,Processed,Neutral,Approved,3.0 +Natural Cocoa Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Canola Oil,Natural,Medium,Processed,Neutral,Approved,3.4 +BHT (Preservative),Preservative,Low,Ultra-Processed,Negative,Approved,0.9 +Lactose,Sweetener,Low,Processed,Neutral,Approved,2.4 +Egg White Powder,Natural,High,Processed,Positive,Approved,4.3 +Silicon Dioxide,Additive,Low,Processed,Neutral,Approved,2.5 +Sodium Caseinate,Additive,Medium,Processed,Neutral,Approved,3.2 +Pea Protein,Natural,High,Processed,Positive,Approved,4.2 +Molasses,Sweetener,Medium,Minimally Processed,Positive,Approved,3.7 +Sodium Stearoyl Lactylate,Additive,Low,Ultra-Processed,Neutral,Approved,2.3 +Natural Caramel Color,Additive,Low,Processed,Neutral,Approved,2.8 +Glycerin,Sweetener,Low,Processed,Neutral,Approved,2.1 +Baking Soda,Additive,Low,Processed,Neutral,Approved,3.0 +Sunflower Oil,Natural,Medium,Processed,Neutral,Approved,3.6 +Mono- and Diglycerides,Additive,Low,Ultra-Processed,Negative,Approved,1.9 +Brown Rice Syrup,Sweetener,Medium,Processed,Neutral,Approved,3.1 +Natural Almond Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Sodium Bicarbonate,Additive,Low,Processed,Neutral,Approved,3.0 +Corn Syrup Solids,Sweetener,Low,Ultra-Processed,Negative,Approved,1.2 +Wheat Gluten,Natural,High,Processed,Positive,Approved,4.1 +Natural Coconut Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Sodium Citrate,Additive,Low,Processed,Neutral,Approved,2.8 +Natural Orange Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Rice Bran Oil,Natural,Medium,Processed,Positive,Approved,3.8 +Polysorbate 80,Additive,Low,Ultra-Processed,Negative,Approved,1.5 +Natural Lemon Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Sodium Saccharin,Sweetener,Low,Ultra-Processed,Negative,Approved,0.7 +Natural Raspberry Flavor,Additive,Low,Processed,Neutral,Approved,2.8 +Soy Flour,Natural,High,Processed,Positive,Approved,4.0 +Natural Banana Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Sodium Erythorbate,Preservative,Low,Ultra-Processed,Negative,Approved,1.4 +Natural Peanut Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Sodium Phosphate,Additive,Low,Ultra-Processed,Negative,Approved,1.6 +Natural Maple Flavor,Additive,Low,Processed,Neutral,Approved,2.8 +Sodium Aluminum Phosphate,Additive,Low,Ultra-Processed,Negative,Approved,1.1 +Natural Coffee Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Sodium Hexametaphosphate,Additive,Low,Ultra-Processed,Negative,Approved,1.0 +Natural Carrot Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Sodium Metabisulfite,Preservative,Low,Ultra-Processed,Negative,Approved,1.2 +Natural Ginger Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Sodium Nitrate,Preservative,Low,Ultra-Processed,Negative,Approved,0.8 +Natural Mint Flavor,Additive,Low,Processed,Neutral,Approved,2.8 +Sodium Sulfite,Preservative,Low,Ultra-Processed,Negative,Approved,1.0 +Natural Cherry Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Sodium Tripolyphosphate,Additive,Low,Ultra-Processed,Negative,Approved,0.9 +Natural Blueberry Flavor,Additive,Low,Processed,Neutral,Approved,2.9 +Soy Sauce Powder,Natural,Medium,Processed,Neutral,Approved,3.3 +Natural Cinnamon Flavor,Additive,Low,Processed,Neutral,Approved,2.8 +Hydrolyzed Vegetable Protein,Additive,Medium,Ultra-Processed,Negative,Approved,1.8 +Natural Honey Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Maltitol,Sweetener,Low,Ultra-Processed,Negative,Approved,1.5 +Natural Vanilla Extract,Additive,Low,Processed,Positive,Approved,3.5 +Sorbitol,Sweetener,Low,Ultra-Processed,Negative,Approved,1.4 +Natural Apple Flavor,Additive,Low,Processed,Neutral,Approved,2.8 +Xylitol,Sweetener,Low,Ultra-Processed,Neutral,Approved,2.5 +Natural Peach Flavor,Additive,Low,Processed,Neutral,Approved,2.7 +Erythritol,Sweetener,Low,Ultra-Processed,Neutral,Approved,2.6 +Natural Pear Flavor,Additive,Low,Processed,Neutral,Approved,2.8 \ No newline at end of file diff --git a/data/MongoData/accounts/food-stat.accounts.json b/data/MongoData/accounts/food-stat.accounts.json new file mode 100644 index 0000000..db45a45 --- /dev/null +++ b/data/MongoData/accounts/food-stat.accounts.json @@ -0,0 +1,51 @@ +[{ + "_id": { + "$oid": "670ec2211f7e814a2988fd1b" + }, + "username": "user", + "password": "pass", + "profiles": [ + "670ec22a1f7e814a2988fd1d", + "670ec22a1f7e814a2988fd1e", + "670ec22a1f7e814a2988fd1f" + ], + "default_profile_id": null +}, +{ + "_id": { + "$oid": "67f3f2fe3c594e9297d4616d" + }, + "username": "admin", + "password": "admin" +}, +{ + "_id": { + "$oid": "67f3fefc991752bb25fad3a9" + }, + "username": "wasd", + "password": "wasd" +}, +{ + "_id": { + "$oid": "67f40b1bbb8d7822d5d2cd2b" + }, + "username": "admin", + "password": "admin", + "profiles": [ + { + "$oid": "67f40b25bb8d7822d5d2cd2e" + } + ] +}, +{ + "_id": { + "$oid": "67f40b1dbb8d7822d5d2cd2c" + }, + "username": "admin", + "password": "admin", + "profiles": [ + { + "$oid": "67f40b1ebb8d7822d5d2cd2d" + } + ] +}] \ No newline at end of file diff --git a/data/MongoData/categories/food-stat.categories.json b/data/MongoData/categories/food-stat.categories.json new file mode 100644 index 0000000..8838a46 --- /dev/null +++ b/data/MongoData/categories/food-stat.categories.json @@ -0,0 +1,87 @@ +[ + { + "_id": "NAMKEEN", + "image_url": "https://media.gettyimages.com/id/84594668/photo/high-angle-view-of-various-type-of-snacks-in-bowls.jpg?s=612x612&w=gi&k=20&c=jjyJty-ZVXTAERQsPwVaxZ-B4fNrw_pKyR_WYBDbNRQ=" + }, + { + "_id": "BREAKFAST-ITEMS", + "image_url": "https://cdn.zeebiz.com/sites/default/files/2018/05/09/37648-nestle-india-official-website.jpg" + }, + { + "_id": "BISCUIT", + "image_url": "https://as1.ftcdn.net/v2/jpg/00/09/65/58/1000_F_9655832_CaCWV2cCdn3ALnElzFKqDqUuWlZOGHhJ.jpg" + }, + { + "_id": "BEVERAGES", + "image_url": "https://as2.ftcdn.net/v2/jpg/10/88/35/77/1000_F_1088357767_g93uTbKtafjQ1QLvW7AD5DMP6xfPITMJ.jpg" + }, + { + "_id": "PASTA", + "image_url": "https://as1.ftcdn.net/v2/jpg/00/61/17/16/1000_F_61171626_ddpb91axm60GMM9gpRtO5CaOkhPM6EtZ.jpg" + }, + { + "_id": "CHIPS", + "image_url": "https://as1.ftcdn.net/v2/jpg/09/59/37/98/1000_F_959379855_xG50ZFkF0lJTYvOLebDsr6R7OmGYsomk.webp" + }, + { + "_id": "BREAD", + "image_url": "https://as1.ftcdn.net/v2/jpg/02/45/23/00/1000_F_245230028_DxzwLLdNZMGxfx3G0ryFrX0XpAdi6qpA.jpg" + }, + { + "_id": "MISCELLANEOUS", + "image_url": "https://as2.ftcdn.net/v2/jpg/12/61/30/95/1000_F_1261309521_cJBjnEvyHqx42Aly6g0hjPHGKq3zYz9U.jpg" + }, + { + "_id": "NUTS-SEEDS-DRIED-FRUIT", + "image_url": "https://media.istockphoto.com/id/639201332/photo/composition-with-dried-fruits-and-assorted-nuts.jpg?s=2048x2048&w=is&k=20&c=wcB7lrbA891FzZYcSTpEQT-_hUGfpWLT3jn0BOX41CI=" + }, + { + "_id": "PROTEIN-BAR", + "image_url": "https://media.istockphoto.com/id/1363848757/photo/energy-granola-bars-with-different-seeds-nuts-and-dried-fruits-and-berries-on-white-marble.jpg?s=2048x2048&w=is&k=20&c=VMTq620yycX7_88Cnw8OJ-_-ReMcLXhH5WPZ3zthyCk=" + }, + { + "_id": "SWEETS", + "image_url": "https://media.istockphoto.com/id/1490797933/photo/tasty-colorful-jelly-candies-as-background-above-view.jpg?s=2048x2048&w=is&k=20&c=m7zC4JSPiUZw5NIE2GKq4z5TsO6NJSBE0UY1kAnWarY=" + }, + { + "_id": "PROTEIN-POWDER", + "image_url": "https://media.istockphoto.com/id/1015345458/photo/protein-powder.jpg?s=2048x2048&w=is&k=20&c=S9TjTqUvJawCRklLNOGsYnmNTxzx-PYUAeyAyvgwuj0=" + }, + { + "_id": "INSTANT-NOODLES", + "image_url": "https://media.istockphoto.com/id/1220528900/photo/raw-dried-instant-noodles-on-a-brown-background-pasta-for-the-preparation-of-which-it-is.jpg?s=2048x2048&w=is&k=20&c=Es-kbl_Gj1kzFPCZ08-pojZJYGPXdhunoPPZ19KGYE4=" + }, + { + "_id": "MEAT/SEAFOOD", + "image_url": "https://as1.ftcdn.net/v2/jpg/02/10/29/88/1000_F_210298850_bq1n7Y7bhlAu5AxeVEak6QDvIyXo8qqZ.jpg" + }, + { + "_id": "BREAKFAST-SPREADS", + "image_url": "https://media.istockphoto.com/id/687519892/photo/woman-hand-spreading-butter-on-sliced-bread.jpg?s=2048x2048&w=is&k=20&c=f20k_tRRxKG1HGwL9X80xf9mQfOaqQ9PbYr3NIMezj4=" + }, + { + "_id": "SAUCE/CONDIMENT/PICKLE", + "image_url": "https://as1.ftcdn.net/v2/jpg/01/81/91/02/1000_F_181910232_SnxIJ08vc9YYUk4wpGZ2nVAZIVsp4CeN.jpg" + }, + { + "_id": "MILK-FLAVOURING", + "image_url": "https://as1.ftcdn.net/v2/jpg/11/05/62/20/1000_F_1105622022_mHo3GptPAZbhhhjEVO0TzSQCG4WYKIUZ.jpg" + }, + { + "_id": "HEALTH-SUPPLEMENT", + "image_url": "https://as2.ftcdn.net/v2/jpg/10/25/93/09/1000_F_1025930905_Gb9Afl9UfpO1VHObOQkDEnWgkBwQKqiN.jpg" + }, + { + "_id": "DAIRY", + "image_url": "https://images.unsplash.com/photo-1523473827533-2a64d0d36748?q=80&w=2080&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D" + }, + { + "_id": "PANEER", + "image_url": "https://t4.ftcdn.net/jpg/06/32/64/95/360_F_632649552_4Gi6jOlnbDllG1qyjKo53lzdFDJNDfhq.jpg" + }, + { + "_id": "BABY-FOOD", + "image_url": "https://images.unsplash.com/photo-1544829832-c8047d6b9d89?q=80&w=2070&auto=format&fit=crop&ixlib=rb-4.0.3&ixid=M3wxMjA3fDB8MHxwaG90by1wYWdlfHx8fGVufDB8fHx8fA%3D%3D" + } + ] + \ No newline at end of file diff --git a/data/MongoData/food_items/GenAIData/Data_with_barcodes.json b/data/MongoData/food_items/GenAIData/Data_with_barcodes.json new file mode 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0000000..ca1f741 Binary files /dev/null and b/docs/BMC for Food-Stat.docx differ diff --git a/docs/FoodStat app.pptx b/docs/FoodStat app.pptx new file mode 100644 index 0000000..ed1fb28 Binary files /dev/null and b/docs/FoodStat app.pptx differ diff --git a/docs/PPT FINAL - HACKVERSE.pptx b/docs/PPT FINAL - HACKVERSE.pptx new file mode 100644 index 0000000..40eb5ae Binary files /dev/null and b/docs/PPT FINAL - HACKVERSE.pptx differ diff --git a/server/Barcode/Pintola.jpg b/server/Barcode/Pintola.jpg new file mode 100644 index 0000000..f9bf5cb Binary files /dev/null and b/server/Barcode/Pintola.jpg differ diff --git a/server/Barcode/analyze_barcodes.py b/server/Barcode/analyze_barcodes.py new file mode 100644 index 0000000..8843eaf --- /dev/null +++ b/server/Barcode/analyze_barcodes.py @@ -0,0 +1,24 @@ +import cv2 +import numpy as np +from pyzbar.pyzbar import decode + + +def analyze_barcode_from_pil(pil_image): + # Convert PIL image to OpenCV format + cv_image = cv2.cvtColor(np.array(pil_image), cv2.COLOR_RGB2BGR) + + barcodes = decode(cv_image) + results = [] + + for barcode in barcodes: + data = barcode.data.decode('utf-8') + barcode_type = barcode.type + results.append({'type': barcode_type, 'data': data}) + + # Draw rectangle (optional for debugging) + pts = [(point.x, point.y) for point in barcode.polygon] + cv2.polylines(cv_image, [np.array(pts, dtype=np.int32)], isClosed=True, color=(0, 255, 0), thickness=2) + cv2.putText(cv_image, f'{barcode_type}: {data}', (pts[0][0], pts[0][1] - 10), + cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 0, 0), 2) + + return results, cv_image # Return both barcode data and annotated image diff --git a/server/Barcode/barcode.jpg b/server/Barcode/barcode.jpg new file mode 100644 index 0000000..a90986c Binary files /dev/null and b/server/Barcode/barcode.jpg differ diff --git a/server/Barcode/barcode_utils.py b/server/Barcode/barcode_utils.py new file mode 100644 index 0000000..5d84ddc --- /dev/null +++ b/server/Barcode/barcode_utils.py @@ -0,0 +1,78 @@ +# barcode_utils.py + +import cv2 +from pyzbar.pyzbar import decode +import numpy as np +from pymongo import MongoClient +from dotenv import load_dotenv +import os + +load_dotenv() +uri: str = os.getenv("MONGO_ATLAS_URI") + +def get_mongo_connection(uri=uri, db_name="food-stat", collection_name="food_items"): + client = MongoClient(uri) + db = client[db_name] + return db[collection_name] + +from bson import ObjectId + +def check_barcode_in_mongo(barcode_data, collection): + if not barcode_data: + print("[ERROR] No barcode data to match.") + return None + + result = collection.find_one({"barcode": barcode_data}) + if result: + print("[✅] Match found in database!") + result['_id'] = str(result['_id']) # 👈 Convert ObjectId to string + return result + else: + print("[❌] No match found in the database.") + return None + + +def analyze_barcode_from_base64(base64_data): + import base64 + import io + from PIL import Image + + try: + image_data = base64.b64decode(base64_data.split(',')[1]) + image = Image.open(io.BytesIO(image_data)).convert('RGB') + frame = np.array(image) + frame = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR) + + barcodes = decode(frame) + results = [] + + if not barcodes: + print("[❌] No barcodes found in image.") + else: + print(f"[🔍] Found {len(barcodes)} barcode(s)") + + collection = get_mongo_connection() + + for barcode in barcodes: + barcode_data = barcode.data.decode("utf-8") + barcode_type = barcode.type + print(f"[✅] Decoded: {barcode_type} | {barcode_data}") + + try: + product = check_barcode_in_mongo(barcode_data, collection) + except Exception as e: + print(f"[⚠️] Error querying Mongo: {e}") + product = None + + results.append({ + "type": barcode_type, + "data": barcode_data, + "product": product + }) + print(results) + + return results + + except Exception as e: + print(f"[❌] Barcode analysis failed: {e}") + return [] diff --git a/server/Barcode/find_barcode.py b/server/Barcode/find_barcode.py new file mode 100644 index 0000000..0e58ca9 --- /dev/null +++ b/server/Barcode/find_barcode.py @@ -0,0 +1,53 @@ +import cv2 +from pyzbar.pyzbar import decode +import os +from pymongo import MongoClient +from dotenv import load_dotenv +load_dotenv() +uri: str = os.getenv("MONGO_ATLAS_URI") + +def get_mongo_connection(uri=uri, db_name="food-stat", collection_name="food_items"): + client = MongoClient(uri) + db = client[db_name] + return db[collection_name] + +def analyze_barcode_from_image(image_path): + if not os.path.exists(image_path): + print(f"[ERROR] File not found: {image_path}") + return None + + image = cv2.imread(image_path) + barcodes = decode(image) + + if not barcodes: + print("[INFO] No barcode found in the image.") + return None + + for barcode in barcodes: + data = barcode.data.decode('utf-8') + print(f"[INFO] Found {barcode.type} barcode with data: {data}") + return data + + return None + +def check_barcode_in_mongo(barcode_data, collection): + if not barcode_data: + print("[ERROR] No barcode data to match.") + return + + result = collection.find_one({"barcode": barcode_data}) + if result: + print("[✅] Match found in database!") + print("Product Details:", result) + else: + print("[❌] No match found in the database.") + +if __name__ == "__main__": + image_path = "barcode.jpg" + barcode_data = analyze_barcode_from_image(image_path) + + # Connect to MongoDB + collection = get_mongo_connection() + + # Search for barcode match + check_barcode_in_mongo(barcode_data, collection) diff --git a/server/Barcode/food-barcode-label.jpg b/server/Barcode/food-barcode-label.jpg new file mode 100644 index 0000000..7104612 Binary files /dev/null and b/server/Barcode/food-barcode-label.jpg differ diff --git a/server/Barcode/scan_barcode.py b/server/Barcode/scan_barcode.py new file mode 100644 index 0000000..de69f72 --- /dev/null +++ b/server/Barcode/scan_barcode.py @@ -0,0 +1,87 @@ +import cv2 +from pyzbar.pyzbar import decode +import numpy as np +from pymongo import MongoClient +from dotenv import load_dotenv +import os + +load_dotenv() +uri: str = os.getenv("MONGO_ATLAS_URI") + +def analyze_barcode_from_frame(frame): + barcodes = decode(frame) + if not barcodes: + print("[INFO] No barcode found.") + return + + for barcode in barcodes: + data = barcode.data.decode('utf-8') + barcode_type = barcode.type + points = barcode.polygon + + # Draw rectangle around the barcode + pts = [(point.x, point.y) for point in points] + cv2.polylines(frame, [np.array(pts, dtype=np.int32)], isClosed=True, color=(0, 255, 0), thickness=2) + + # Show barcode data + cv2.putText(frame, f'{barcode_type}: {data}', (pts[0][0], pts[0][1] - 10), + cv2.FONT_HERSHEY_SIMPLEX, 0.6, (255, 0, 0), 2) + print(f'[INFO] Detected {barcode_type}: {data}') + + cv2.imshow("Captured Frame Analysis", frame) + cv2.waitKey(3000) + cv2.destroyWindow("Captured Frame Analysis") + +def capture_and_analyze(camera_index): + cap = cv2.VideoCapture(camera_index) + if not cap.isOpened(): + print(f"[ERROR] Unable to access camera {camera_index}") + return + + print(f"Camera {camera_index} started. Press 'c' to capture and analyze, 'q' to quit.") + + while True: + ret, frame = cap.read() + if not ret: + print("[ERROR] Failed to grab frame.") + break + + cv2.imshow("Live Feed", frame) + + key = cv2.waitKey(1) & 0xFF + if key == ord('q'): + break + elif key == ord('c'): + print("[INFO] Captured frame for barcode analysis.") + analyze_barcode_from_frame(frame) + + cap.release() + cv2.destroyAllWindows() + + +def check_barcode_in_mongo(barcode_data, collection): + if not barcode_data: + print("[ERROR] No barcode data to match.") + return + + result = collection.find_one({"barcode": barcode_data}) + if result: + print("[✅] Match found in database!") + print("Product Details:", result) + else: + print("[❌] No match found in the database.") + + +def get_mongo_connection(uri=uri, db_name="food-stat", collection_name="food_items"): + client = MongoClient(uri) + db = client[db_name] + return db[collection_name] + + +def example(): + try: + camera_index = int(input("Enter camera source index (default is 0): ") or 0) + except ValueError: + camera_index = 0 + + capture_and_analyze(camera_index) diff --git a/server/ML_APIS/CleanedDataForModel.csv b/server/ML_APIS/CleanedDataForModel.csv deleted file mode 100644 index 1709f28..0000000 --- a/server/ML_APIS/CleanedDataForModel.csv +++ /dev/null @@ -1,89 +0,0 @@ -ITEM_NAME,PRICE_PER_UNIT.$NUMBERDECIMAL,ITEM_CATEGORY,FINAL_RATING,HEALTH_IMPACT_RATING,INGREDIENT_QUALITY_RATING,NUTRITIONAL_CONTENT_RATING,NUTRITION.ENERGY,NUTRITION.PROTEIN,NUTRITION.CARBOHYDRATE,NUTRITION.TOTAL_SUGARS,NUTRITION.ADDED_SUGARS,NUTRITION.TOTAL_FAT,NUTRITION.SATURATED_FAT,NUTRITION.FIBER,NUTRITION.SODIUM -"MAGGI 2-MINUTE INSTANT NOODLES - MASALA, 70 G POUCH",0.2,INSTANT NOODLES,2.8,2.8,2.5,3.0,384.0,8.2,59.6,1.8,1.3,12.5,8.2,0.0,1028.3 -KNORR K-POT SPICY KIMCHI VEG MEAL KOREAN RAMEN 96 G,0.625,INSTANT NOODLES,3.0,2.9,2.8,3.2,384.0,8.2,59.6,1.8,1.3,12.5,8.2,0.0,1028.3 -"INDOMIE INSTANT SOUP NOODLES - SPECIAL CHICKEN FLAVOUR, 75 G POUCH",0.39,INSTANT NOODLES,3.1,3.0,2.9,3.3,456.0,10.6,64.1,2.6,0.0,18.0,0.0,2.8,0.0 -SAMYANG FIRE BULDAK HOT CHICKEN FLAVOUR RAMESN NOODLE CUP - 70 GM,0.28571,INSTANT NOODLES,3.0,2.8,3.0,3.2,295.0,6.0,42.0,6.0,0.0,10.0,5.0,0.0,630.0 -NONGSHIM SHIN RAMYUN SPICY FLAVOURED INSTANT NOODLE SOUP,0.930232558,INSTANT NOODLES,2.8,2.5,2.7,3.1,424.0,8.6,66.0,2.6,0.0,14.0,14.0,0.0,1470.0 -NISSIN SPICED CHICKEN CUP NOODLES,0.614285714,INSTANT NOODLES,2.6,2.4,2.5,2.9,485.19,10.28,62.8,3.63,3.63,20.22,9.72,0.0,1409.17 -"COMPLAN NUTRITION DRINK POWDER FOR CHILDREN, ROYALE CHOCOLATE FLAVOUR, 500 G CARTON | NUTRITION DRINK FOR KIDS WITH PROTEIN & 34 VITAL NUTRIENTS",0.638,MILK FLAVOURING,3.3,3.0,3.2,3.7,419.0,18.0,62.0,45.5,21.8,11.0,0.0,0.0,400.0 -HORLICKS CHOCOLATE NUTRITION DRINK || JAR 500 G,0.498,MILK FLAVOURING,3.3,3.0,3.4,3.5,360.0,7.0,81.0,46.0,35.0,2.0,1.1,5.0,328.0 -BOURNVITA CHOCOLATE NUTRITION DRINK 750 G POUCH,0.497333333,MILK FLAVOURING,3.5,3.2,3.7,3.5,381.0,7.0,86.0,46.0,32.2,1.8,0.9,3.5,175.0 -"MANNA RAGI MALT DRINK MIX WITH 25% RAGI, 400G",0.8125,MILK FLAVOURING,3.0,2.8,3.2,3.0,386.28,7.992,86.58,73.26,57.276,1.332,0.666,0.0,113.22 -HEALTHY MILLET DRINK | INSTANT MIX | POPPED RAGI MILK | 200 G | PACK OF 2,0.75,MILK FLAVOURING,4.0,4.0,4.5,4.0,392.4,13.8,81.3,54.4,0.0,1.2,0.5,8.6,0.0 -"HORLICKS WOMEN'S PLUS CHOCOLATE, 400 G CARTON",0.75,MILK FLAVOURING,3.5,3.5,3.5,4.0,360.0,15.0,68.2,28.0,12.0,2.8,1.4,0.0,639.0 -"KELLOGG'S CORN FLAKES ORIGINAL 1.2KG | POWER OF 5: ENERGY, PROTEIN, IRON, IMMUNO NUTRIENTS, VITAMINS B1, B2, B3 & C| CORN FLAKES, BREAKFAST CEREAL",0.2604,CORN FLAKES,3.8,4.0,4.0,3.5,378.0,6.7,86.9,9.2,8.0,1.0,0.6,2.5,490.0 -NESTLé MUNCH CRUNCHILICIOUS CEREAL | GET SET & CRUNCH | BREAKFAST CEREAL | 300G BOX | CHOCOLATE (FLAVOR),0.53667,CORN FLAKES,3.3,3.0,3.5,3.5,279.0,6.2,61.1,22.0,21.4,2.2,1.6,5.1,146.4 -YOGABAR SUPER HIGH PROTEIN MUESLI 850G | 21G PROTEIN | WITH PROBIOTICS AND WHEY | NO REFINED SUGAR | EASY ON GUT | CHOCO ALMOND | PROTEIN SNACK | HIGH FIBER FOOD | BREAKFAST CEREAL,0.59667,CORN FLAKES,4.5,4.5,4.5,4.5,396.0,23.2,55.0,17.5,8.6,10.8,4.0,7.0,268.0 -BAGRRY'S WHEY PROTEIN MUESLI 750GM POUCH |15GM PROTEIN PER SERVE |CHOCOLATE FLAVOUR|WHOLE OATS & CALIFORNIAN ALMONDS|BREAKFAST CEREAL|PROTEIN RICH|PREMIUM AMERICAN WHEY MUESLI,0.50567,CORN FLAKES,4.1,4.1,4.0,4.2,399.0,20.3,64.5,16.0,11.0,8.2,1.3,6.6,234.0 -HIGH PROTEIN SUPER ROLLED OATS CHOCOLATE,0.549,CORN FLAKES,4.6,4.6,4.8,4.5,445.0,22.0,52.2,6.0,0.0,16.4,2.8,7.0,10.5 -"GAIA CRUNCHY DIET MUESLI - LOW-CALORIE, PROTEIN RICH, HIGH-FIBER MUESLI CEREAL SERVES AS A HEALTHY AND NUTRITIOUS BREAKFAST OPTION WITH ZERO ADDED SUGAR. 1KG JAR PACK - NO ADDED FLAVOR",0.699,CORN FLAKES,4.2,4.3,4.2,4.0,409.28,13.49,78.57,2.49,0.0,4.56,0.83,0.0,0.0 -"NUTELLA HAZELNUT SPREAD, 350 G JAR",1.03,BREAKFAST SPREADS,2.2,2.0,2.5,2.0,533.0,6.3,57.5,56.3,0.0,30.9,10.6,0.0,577.0 -"HERSHEY'S SPREADS COCOA WITH ALMOND, 150G",1.1733,BREAKFAST SPREADS,1.8,1.5,2.0,1.8,550.0,2.2,64.0,61.0,56.0,31.6,13.0,0.0,140.0 -KISSAN MIXED FRUIT JAM 200 G,0.4,BREAKFAST SPREADS,2.2,2.0,2.0,2.5,285.0,0.3,70.5,68.1,62.6,0.1,0.0,0.8,51.0 -"KISSAN ORANGE MARMALADE JAM, 500G",0.4,BREAKFAST SPREADS,2.5,2.0,2.0,2.5,290.0,0.1,72.3,71.5,69.3,0.1,0.0,0.6,30.0 -BHUIRA|ALL NATURAL JAM BITTER ORANGE MARMALADE|NO ADDED PRESERVATIVES|NO ARTIFICAL COLOR ADDED|240 G|PACK OF 1,0.4,BREAKFAST SPREADS,3.3,3.5,4.0,3.5,281.0,0.42,69.83,53.49,20.74,0.0,0.0,1.0,62.3 -"OVOMALTINE CRUNCHY CREAM SPREAD WITH MALTED CRUNCHY PIECES AND COCOA, DELICIOUS SWISS CHOCOLATE, TASTY AND HEALTHY BREAKFAST BREAD SPREAD, VEGETARIAN, MADE IN SWITZERLAND, 240G (PACK OF 1)",0.8292,BREAKFAST SPREADS,3.0,2.5,3.5,3.0,547.0,3.7,59.4,50.1,37.7,32.4,5.5,0.0,66.0 -"BONN BREAD HIGH FIBER BROWN BREAD, 400 G",0.125,BREAD,3.4,3.5,3.0,3.5,264.0,7.7,49.68,4.48,3.58,1.95,0.4,8.4,577.0 -"THE HEALTH FACTORY ZERO MAIDA BREAD, 350 G",0.185714286,BREAD,4.3,4.2,4.5,4.0,245.22,13.72,44.66,4.22,2.1,1.3,0.34,6.34,333.52 -BRITANNIA HEALTHY SLICE SANDWICH WHITE BREAD 500G,0.08,BREAD,2.5,2.5,2.0,3.0,245.22,13.72,44.66,4.22,2.1,1.3,0.34,6.34,333.52 -"BRITANNIA 100% WHOLE WHEAT SANDWICH BREAD, 450 G POUCH",0.13,BREAD,3.0,3.0,2.5,3.5,250.0,8.0,50.0,2.0,0.0,2.0,1.0,6.0,0.0 -BRITANNIA MULTIGRAIN BREAD 450 G,0.106666667,BREAD,3.7,3.5,3.5,4.0,252.0,9.6,47.0,1.4,1.3,4.3,1.0,6.5,424.0 -BONN MULTIGRAIN BREAD,0.1625,BREAD,3.8,3.5,3.8,4.0,268.0,8.68,42.04,2.96,2.09,5.38,1.18,8.13,470.0 -MYFITNESS ALL NATURAL PEANUT BUTTER CRUNCHY 1.25KG,0.3632,PEANUT BUTTER,4.5,4.2,4.8,4.6,622.0,32.0,14.0,0.0,0.0,49.0,12.0,0.0,7.0 -THE BUTTERNUT CO. NATURAL PEANUT BUTTER (CRUNCHY) 1KG,0.399,PEANUT BUTTER,4.3,4.0,4.7,4.5,640.0,32.0,15.0,0.0,0.0,50.0,0.0,0.0,0.0 -PINTOLA HIGH PROTEIN ORGANIC JAGGERY PEANUT BUTTER CRUNCHY 1KG,0.532,PEANUT BUTTER,4.1,4.3,4.5,4.4,605.0,33.0,26.0,16.5,14.0,40.0,0.0,7.0,17.9 -"SUNDROP PEANUT BUTTER, CREAMY, 924G",0.276,PEANUT BUTTER,4.0,3.9,4.2,4.5,645.0,25.0,19.0,19.0,0.0,52.0,10.0,5.0,345.0 -THE WHOLE TRUTH - PEANUT BUTTER WITH DATES(SWEETENED) CRUNCHY 325 G,0.5631,PEANUT BUTTER,4.2,4.1,4.6,4.3,637.0,24.2,22.0,12.8,0.0,50.3,8.5,8.1,31.1 -PINTOLA ALL NATURAL PEANUT BUTTER CRUNCHY 1KG,0.354,PEANUT BUTTER,4.4,4.2,4.7,4.5,639.0,30.0,18.0,3.0,0.0,49.0,8.5,9.0,19.0 -MAAZA MANGO DRINK 135ML,0.0633,PACKETED JUICE,2.2,2.0,2.5,2.0,60.0,0.0,15.0,14.8,13.5,0.0,0.0,0.0,0.0 -B NATURAL GUAVA JUICE GOODNESS OF FIBER 1L,0.101,PACKETED JUICE,3.2,3.0,3.5,3.0,52.0,0.1,13.18,12.4,10.6,0.0,0.0,0.78,5.0 -URBAN PLATTER CANADIAN CRANBERRY JUICE 1L,1.69,PACKETED JUICE,4.2,4.0,5.0,3.5,70.0,0.0,18.0,11.0,0.0,0.0,0.0,0.0,10.0 -"RAW PRESSERY JUICE, MANGO 1L",0.22,PACKETED JUICE,3.7,3.5,4.0,3.5,41.7,0.45,10.43,8.69,3.41,0.0,0.0,0.91,1.04 -REAL APPLE FRUIT JUICE -1L,0.11,PACKETED JUICE,2.7,2.5,2.5,3.0,57.0,0.0,14.2,14.2,12.0,0.0,0.0,0.0,10.0 -MINUTE MAID PULPY ORANGE JUICE DRINK 1L,0.062,PACKETED JUICE,2.5,2.5,2.0,3.0,52.0,0.0,13.1,12.7,11.5,0.0,0.0,0.0,9.6 -AVVATAR WHEY PROTEIN 1KG,2.6,PROTEIN POWDER,4.2,4.0,4.0,4.5,402.0,78.85,8.57,1.8,1.3,6.0,3.71,0.0,220.0 -BIGMUSCLES NUTRITION NITRA EDGE ISOLATE WHEY PROTEIN,1.62,PROTEIN POWDER,3.7,3.5,3.5,4.0,310.8,71.04,2.22,0.0,0.0,2.22,1.11,0.0,0.0 -NUTRABAY PURE 100% RAW WHEY PROTEIN CONCENTRATE - 500G,1.95,PROTEIN POWDER,3.6,3.5,3.5,3.8,409.0,77.9,7.7,7.7,0.0,7.4,4.0,0.0,221.0 -AS-IT-IS NUTRITION WHEY PROTEIN CONCENTRATE 80% - 1KG,1.758,PROTEIN POWDER,4.1,4.0,4.0,4.3,402.0,79.92,8.32,0.0,0.0,4.99,0.0,0.0,0.0 -"BON ISO WHEY 100% PROTEIN ISOLATE, IRISH CHOCOLATE 2KG",3.1495,PROTEIN POWDER,4.7,4.8,4.5,4.7,371.0,80.0,12.0,0.0,0.0,0.6,0.3,0.0,268.0 -MUSCLE ASYLUM PREMIUM WHEY PROTEIN 1KG,1.18,PROTEIN POWDER,3.7,3.7,3.5,3.8,300.0,59.5,17.5,0.0,0.0,3.0,2.025,0.0,0.0 -"CEREGROW KIDS CEREAL WITH MULTIGRAIN, MILK & FRUITS",1.0433,BABY FOOD,4.4,4.2,4.5,4.3,412.0,12.5,70.6,22.0,10.2,9.4,4.6,0.0,110.0 -"SLURRP FARM NO ADDED SUGAR INSTANT CEREAL RAGI, RICE AND MANGO WITH MILK 200G",1.655,BABY FOOD,4.6,4.7,4.8,4.5,386.7,13.4,80.8,15.0,0.0,1.1,0.5,6.4,27.5 -SLURRP FARM NO SALT NO SUGAR TEETHING PUFFS,0.1893,BABY FOOD,4.0,3.9,4.3,4.1,414.0,7.326,71.26,0.66,0.0,11.32,1.998,4.662,40.626 -"EARLY FOODS - WHOLE WHEAT, ALMOND & DATE PORRIDGE MIX 200G",1.2,BABY FOOD,4.2,4.1,4.6,4.3,404.6,5.8,86.6,1.7,0.0,4.1,0.0,3.9,0.0 -HUNGRY KOALA RAGI & BANANA CEREAL 200G,1.33,BABY FOOD,4.3,4.2,4.5,4.4,364.0,7.8,80.3,0.0,0.0,1.3,0.0,12.1,0.0 -YOGABAR YOGABABY SPROUTED RAGI MIX 250G,0.68,BABY FOOD,4.5,4.6,4.7,4.6,376.0,7.1,84.2,1.3,0.0,1.1,0.4,11.8,16.2 -BRB RICE POPPED CHIPS PERI PERI FLAVOUR 48G,0.4167,CHIPS,3.3,3.5,3.5,3.0,438.8,10.0,68.4,2.4,1.2,14.0,3.2,4.0,1157.6 -RITEBITE MAX PROTEIN ASSORTED PROTEIN CHIPS 120G,0.7933,CHIPS,4.17,4.0,4.0,4.5,478.3,16.7,49.7,3.5,0.0,22.8,4.5,6.7,0.8 -PRINGLES SOUR CREAM & ONION FLAVOUR POTATO CHIPS 134G,0.10299,CHIPS,2.5,2.5,2.5,2.5,541.0,5.0,57.6,3.2,0.0,30.9,15.0,0.0,642.0 -LAY'S AMERICAN STYLE CREAM & ONION POTATO CHIPS 30G,0.3333,CHIPS,3.0,3.0,3.0,3.0,537.0,6.7,53.0,3.4,0.0,33.1,14.8,0.0,643.0 -CITY BAKERY KETTLE COOKED JALAPENO & CHEESE POTATO CHIPS 70G,0.1068,CHIPS,3.5,3.5,3.5,3.5,537.79,6.97,49.63,0.28,0.0,38.2,10.7,4.18,332.0 -UNCLE CHIPPS SPICY TREAT 80G,0.625,CHIPS,2.5,2.5,2.5,2.5,548.0,6.7,52.0,0.6,0.0,35.0,15.5,0.0,591.0 -BRITANNIA MILK BIKIS BISCUITS CREAM SANDWICH,0.25,BISCUIT,1.8,2.0,1.5,2.0,498.0,7.0,68.0,31.5,27.7,22.0,13.0,0.0,206.0 -BRITANNIA 50-50 MASKA CHASKA,0.285714286,BISCUIT,1.8,2.0,1.5,2.0,525.0,7.7,63.8,9.8,7.5,26.5,13.0,0.0,1080.0 -"BRITANNIA NUTRI CHOICE SEEDS BISCUITS - 0% MAIDA, 15% SEEDS, HIGH FIBER",0.333333333,BISCUIT,3.3,3.5,3.0,3.5,493.0,11.0,63.0,13.6,0.0,23.4,9.6,6.8,314.0 -BRITANNIA BOURBON CHOCOLATE CREAM BISCUITS,0.25,BISCUIT,1.8,2.0,1.5,2.0,488.0,5.0,72.0,37.0,0.0,20.0,10.0,0.0,0.0 -BRITANNIA 50-50 SWEET & SALTY BISCUITS,0.159235669,BISCUIT,1.8,2.0,1.5,2.0,487.0,7.0,72.0,19.5,18.5,19.0,9.0,0.0,466.0 -PARLE G ROYALE,0.236111111,BISCUIT,1.8,2.0,1.5,2.0,464.0,6.5,74.5,27.3,26.5,15.5,7.2,0.0,268.0 -HALDIRAM'S NAMKEEN - ALOO BHUJIA,0.234090909,NAMKEEN,2.5,2.5,2.5,2.5,584.3,10.3,42.4,3.8,0.0,41.5,14.5,0.0,849.2 -CRAX MOONG DAL NAMKEEN,0.34375,NAMKEEN,3.5,3.5,3.5,3.5,477.0,23.0,49.0,2.1,0.0,21.0,9.3,0.0,656.0 -HALDIRAMS BHUJIA PLAIN,0.263636364,NAMKEEN,3.7,3.5,4.0,3.5,581.3,13.4,39.9,4.1,0.0,49.0,13.5,0.0,922.2 -HALDIRAM'S NAMKEEN - NAVRATTAN,0.245454546,NAMKEEN,3.7,3.5,3.5,4.0,549.7,19.2,40.6,2.9,0.0,34.5,6.6,0.0,658.2 -HALDIRAMS NAMKEEN - BOMBAY MIXTURE,0.25,NAMKEEN,3.8,3.8,3.5,4.2,483.2,18.9,50.6,1.6,0.0,22.8,5.0,0.0,522.7 -HALDIRAM'S CHANA JOR GARAM,0.2,NAMKEEN,4.3,4.2,4.0,4.5,501.0,16.0,53.0,2.2,0.0,25.0,12.0,10.0,0.0 -CADBURY DAIRY MILK CHOCOLATE BAR,0.757575758,CHOCOLATE,1.8,2.0,1.5,2.0,534.0,8.1,60.4,57.3,0.0,28.9,17.5,2.1,156.0 -NESTLÉ MUNCH CHOCOLATE COATED CRUNCHY WAFER SHARE PACK,0.625,CHOCOLATE,1.7,1.8,1.5,1.8,435.0,6.0,50.0,32.9,29.3,23.4,23.1,0.0,89.3 -KIT KAT MINIS,0.952380952,CHOCOLATE,1.7,1.8,1.5,1.8,438.0,6.4,47.4,35.1,28.9,24.8,24.5,0.0,97.4 -PULSE KACHCHA AAM CANDY,0.263157895,CHOCOLATE,1.3,1.5,1.0,1.5,380.0,0.0,95.0,70.0,70.0,0.0,0.0,0.0,930.0 -DUKES CHOCO CENTREFILLED ECLAIRS - RICH CREAMY ECLAIRS WITH CHOCOLATE FILLING,0.25,CHOCOLATE,1.3,1.5,1.0,1.5,437.1,2.3,84.2,65.2,44.3,10.1,5.7,0.0,314.1 -"CHUPA CHUPS SOUR BITES, MIXED FRUIT PUNCH FLAVOUR, SOFT & CHEWY TOFFEE",0.487012987,CHOCOLATE,1.3,1.5,1.0,1.5,366.5,2.7,81.2,55.3,55.3,2.5,2.2,0.0,207.0 -MOTHER DAIRY MANGO LASSI,0.111111111,LASSI,2.3,2.5,2.0,2.5,76.0,1.8,13.5,13.5,11.0,1.7,1.2,0.0,23.8 -AMUL LASSI CARTON,0.1,LASSI,2.3,2.5,2.0,2.5,79.0,2.3,12.8,0.0,12.0,2.1,1.4,0.0,0.0 -RAW PRESSERY DAIRY PROTEIN MILKSHAKE CHOCO MINT,0.55,MILKSHAKE,4.0,4.0,4.0,4.0,172.2,18.0,24.48,15.71,0.0,0.58,0.36,8.8,82.2 -SUNFEAST VANILLA MILKSHAKE,0.222222222,LASSI,2.3,2.5,2.0,2.5,110.0,3.2,17.4,11.5,0.0,3.1,0.0,0.0,0.0 -HYP SUGARFREE PROTEIN BAR,1.625,PROTEIN_BAR,4.0,4.0,4.0,4.0,0.159,10.0,20.8,0.0,0.0,6.0,2.0,5.2,90.0 -HYP MEAL REPLACEMENT WHEY PROTEIN BAR PACK OF 6 (60G X 6) PEANUT BUTTER AND CHOCOLATE,2.0,PROTEIN_BAR,3.8,4.0,3.5,4.0,0.236,20.0,26.7,6.3,0.0,7.8,3.0,5.5,140.0 -THE WHOLE TRUTH - 12G PROTEIN BAR,1.89,PROTEIN_BAR,3.7,3.5,4.0,3.5,259.0,12.4,19.1,14.8,0.0,14.9,4.0,2.5,1.4 -THE WHOLE TRUTH - HAZELNUT COCOA PROTEIN BAR WITH 12G PROTEIN (PACK OF 6),1.5625,PROTEIN_BAR,3.5,3.0,4.0,3.5,265.3,12.1,15.6,11.4,0.0,17.2,27.0,2.2,13.2 -RITEBITE MAX PROTEIN DAILY CHOCO CLASSIC 10G PROTEIN BARS,1.4,PROTEIN_BAR,3.3,3.5,3.0,3.5,206.0,10.0,22.8,7.9,0.0,7.9,2.9,4.0,139.0 -RITEBITE MAX PROTEIN DAILY CHOCO ALMOND,1.5,PROTEIN_BAR,4.3,4.5,4.0,4.5,179.0,100.0,13.8,0.5,0.0,6.8,1.2,5.0,0.0 diff --git a/server/ML_APIS/Gemini_API/auth.py b/server/ML_APIS/Gemini_API/auth.py new file mode 100644 index 0000000..fadc40f --- /dev/null +++ b/server/ML_APIS/Gemini_API/auth.py @@ -0,0 +1,19 @@ +import os +import google.generativeai as genai +from dotenv import load_dotenv + +# Load environment variables from a .env file +load_dotenv() + +# Get API key from environment variable +API_KEY = os.getenv("GEMINI_API_KEY") + +if not API_KEY: + raise ValueError("API key not found. Please set GEMINI_API_KEY in your .env file.") + +# Configure the Gemini API +genai.configure(api_key=API_KEY) + +# Optional: Function to get a Gemini model +def get_model(model_name="gemini-1.5-flash"): + return genai.GenerativeModel(model_name=model_name) diff --git a/server/ML_APIS/Gemini_API/fetch_ratings.py b/server/ML_APIS/Gemini_API/fetch_ratings.py new file mode 100644 index 0000000..f542224 --- /dev/null +++ b/server/ML_APIS/Gemini_API/fetch_ratings.py @@ -0,0 +1,74 @@ +import json +from ML_APIS.Gemini_API.auth import get_model + +def format_prompt(food_data: dict) -> str: + return f""" +You are a certified nutritionist. Based on the food product data in this JSON object, return a new JSON object with: + +1. INGREDIENT_QUALITY_RATING +2. HEALTH_IMPACT_RATING +3. NUTRITIONAL_CONTENT_RATING + +Each key should have: +- "score": a number between 0.0 to 5.0 +- "reason": a one-line explanation of the score + +Input JSON: +{json.dumps(food_data, indent=2)} +""" + +def extract_json_from_response(text): + start = text.find("{") + if start == -1: + raise ValueError("No opening brace found in response.") + + brace_count = 0 + for i in range(start, len(text)): + if text[i] == "{": + brace_count += 1 + elif text[i] == "}": + brace_count -= 1 + if brace_count == 0: + json_str = text[start:i+1] + return json.loads(json_str) + + raise ValueError("JSON braces not balanced.") + + +def get_structured_rating(food_data): + model = get_model("gemini-1.5-flash") + prompt = format_prompt(food_data) + response = model.generate_content(prompt) + + raw_text = response.text.strip() + + try: + return extract_json_from_response(raw_text) + except Exception as e: + print("❌ Failed to parse JSON:", e) + print("Raw response:\n", raw_text) + return None + + +def example(): + food_json = { + "item_category": "NAMKEEN", + "item_name": "Salted Peanuts - Panjwani", + "ingredients": ["Peanuts", "Salt", "Vegetable Oil"], + "allergy_info": ["nuts", "Peanuts"], + "nutrition": { + "energy": "609", + "protein": "0", + "carbohydrate": "28.26", + "total_fat": "47.78", + "total_sugars": "7.26", + "added_sugars": "N/A", + "saturated_fat": "7.86", + "trans_fat": "N/A" + }, + "veg": True, + "image_url": "" + } + + result = get_structured_rating(food_json) + print(json.dumps(result, indent=2)) diff --git a/server/ML_APIS/PredictNutritionalRating.py b/server/ML_APIS/PredictNutritionalRating.py deleted file mode 100644 index 94df33e..0000000 --- a/server/ML_APIS/PredictNutritionalRating.py +++ /dev/null @@ -1,57 +0,0 @@ -import os -from joblib import load -import pandas as pd - - -# Load the pre-trained model from the pickle file -def load_model(model_path="ML_APIS/pipeline.joblib"): - """Load the trained model from a file.""" - - with open("ML_APIS/pipeline.joblib", "rb") as model_file: - model = load(model_file) - return model - - -# Function to predict the food rating -def predict_food_rating(input_data, model, example_data=None): - """ - Predict the final food rating based on user input. - - :param model: The trained model (pipeline) - :param input_data: A DataFrame or dict containing the features for prediction - :return: The predicted food rating - """ - # Convert input_data to DataFrame if it's in dict format - if isinstance(input_data, dict): - input_data = pd.DataFrame([input_data]) - - # Make predictions using the loaded model - prediction = model.predict(input_data) - return float(prediction[0]) - - -# Example usage -if __name__ == "__main__": - # Load the model - model_path = os.path.abspath("ML_APIS/pipeline.joblib") - model_path = os.path.abspath("ML_APIS/pipeline.joblib") - model = load_model(model_path) - - # Example input data (you can replace this with real user input) - example_data = { - "NUTRITION.ENERGY": 120, # Example energy value - "NUTRITION.PROTEIN": 3.5, # Example protein value - "NUTRITION.CARBOHYDRATE": 15, # Example carbs value - "NUTRITION.TOTAL_SUGARS": 2, # Example sugars value - "NUTRITION.ADDED_SUGARS": 1, # Example added sugars value - "NUTRITION.TOTAL_FAT": 5, # Example fat value - "NUTRITION.SATURATED_FAT": 1, # Example saturated fat value - "NUTRITION.FIBER": 2, # Example fiber value - "NUTRITION.SODIUM": 150, # Example sodium value - } - - # Predict the rating - # predicted_rating = predict_food_rating(model=model, input_data=example_data) - predicted_rating = predict_food_rating(model=model, input_data=example_data) - - print(f"The predicted food rating is: {predicted_rating}") diff --git a/server/ML_APIS/RuleBasedRecommendation.py b/server/ML_APIS/RuleBasedRecommendation.py deleted file mode 100644 index 478694b..0000000 --- a/server/ML_APIS/RuleBasedRecommendation.py +++ /dev/null @@ -1,129 +0,0 @@ -import pandas as pd - -data = pd.read_csv("ML_APIS/CleanedDataForModel.csv") - - -# Function to calculate BMI -def calculate_bmi(weight, height): - return weight / (height**2) - - -# Function to personalize food recommendations based on user attributes -def personalize_food_recommendation( - category, user_type, sex, height, weight, age, disease=None, df=data -): - df = df[df["ITEM_CATEGORY"] == category] - - # Default scoring function - df["PERSONALIZED_SCORE"] = 0 - - # Calculate BMI - bmi = calculate_bmi(weight, height) - - # Adjustments for BMI - calorie_factor = 1.5 if bmi < 18.5 else 1.0 if 18.5 <= bmi <= 24.9 else 0.8 - - # Age-based protein factor - if age < 18: - protein_factor = 1.3 - elif 18 <= age <= 30: - protein_factor = 1.2 if sex == 'Male' else 1.0 - elif 31 <= age <= 50: - protein_factor = 1.1 if sex == 'Male' else 0.9 - else: - protein_factor = 1.3 # Increased for muscle maintenance in older adults - - # Default Weights for Nutritional Factors (if no disease) - CALORIE_WEIGHT = 0.1 - PROTEIN_WEIGHT = 0.3 * protein_factor - CARB_WEIGHT = 0.1 - SUGAR_WEIGHT = 0.2 - ADDED_SUGAR_WEIGHT = 0.3 - FAT_WEIGHT = 0.2 - SATURATED_FAT_WEIGHT = 0.2 - FIBER_WEIGHT = 0.2 - SODIUM_WEIGHT = 0.1 - - # Adjust weights based on disease - if disease == "Diabetes": - # Prioritize low sugar and carbs, increase fiber weight - SUGAR_WEIGHT = 0.5 - ADDED_SUGAR_WEIGHT = 0.25 - CARB_WEIGHT = 0.2 - FIBER_WEIGHT = 0.4 - CALORIE_WEIGHT = 0.05 - - elif disease == "Anemia": - # Prioritize high protein and iron (if iron data available), decrease sugar weight - PROTEIN_WEIGHT = 0.5 - CALORIE_WEIGHT = 0.15 - SUGAR_WEIGHT = 0.1 - ADDED_SUGAR_WEIGHT = 0.1 - # Optionally increase a new "IRON_WEIGHT" if iron is part of the data - - elif disease == "Hypertension": - # Prioritize low sodium and fat, increase fiber weight - SODIUM_WEIGHT = 0.4 - SATURATED_FAT_WEIGHT = 0.3 - FIBER_WEIGHT = 0.3 - CALORIE_WEIGHT = 0.1 - - elif disease == "Cardiovascular Disease": - # Prioritize low fat, saturated fat, and sodium - FAT_WEIGHT = 0.4 - SATURATED_FAT_WEIGHT = 0.5 - SODIUM_WEIGHT = 0.3 - FIBER_WEIGHT = 0.2 - CALORIE_WEIGHT = 0.05 - - # Define scoring rules based on user type - if user_type == "Weight Loss": - df["PERSONALIZED_SCORE"] = ( - (df["NUTRITION.ENERGY"] < 200) * CALORIE_WEIGHT * calorie_factor - + (df["NUTRITION.FIBER"] > 2) * FIBER_WEIGHT - - (df["NUTRITION.TOTAL_SUGARS"] > 5) * SUGAR_WEIGHT - - (df["NUTRITION.SATURATED_FAT"] > 2) * SATURATED_FAT_WEIGHT - ) - - elif user_type == "Weight Gain": - df["PERSONALIZED_SCORE"] = ( - (df["NUTRITION.ENERGY"] > 400) * CALORIE_WEIGHT * calorie_factor - + (df["NUTRITION.PROTEIN"] > 10) * PROTEIN_WEIGHT * protein_factor - + (df["NUTRITION.CARBOHYDRATE"] > 20) * CARB_WEIGHT - + (df["NUTRITION.TOTAL_FAT"] > 10) * FAT_WEIGHT - ) - - elif user_type == "Muscle up": - df["PERSONALIZED_SCORE"] = ( - (df["NUTRITION.PROTEIN"] > 20) * PROTEIN_WEIGHT * protein_factor - + (df["NUTRITION.CARBOHYDRATE"] > 30) * CARB_WEIGHT - - (df["NUTRITION.SATURATED_FAT"] > 2) * SATURATED_FAT_WEIGHT - ) - - elif user_type == "General Fitness": - df["PERSONALIZED_SCORE"] = ( - (df["NUTRITION.ENERGY"] < 300) * CALORIE_WEIGHT * calorie_factor - + (df["NUTRITION.PROTEIN"] > 10) * PROTEIN_WEIGHT * protein_factor - + (df["NUTRITION.FIBER"] > 2) * FIBER_WEIGHT - ) - - elif user_type == "Pregnant Mother": - df["PERSONALIZED_SCORE"] = ( - (df["NUTRITION.FIBER"] > 2) * FIBER_WEIGHT - + (df["NUTRITION.PROTEIN"] > 10) * PROTEIN_WEIGHT * protein_factor - + (df["NUTRITION.ADDED_SUGARS"] < 5) * ADDED_SUGAR_WEIGHT - + (df["NUTRITION.SODIUM"] < 200) * SODIUM_WEIGHT - ) - - elif user_type == "Infant": - df["PERSONALIZED_SCORE"] = ( - (df["NUTRITION.ENERGY"] < 100) * CALORIE_WEIGHT * calorie_factor - + (df["NUTRITION.FIBER"] < 1) * FIBER_WEIGHT - - (df["NUTRITION.ADDED_SUGARS"] > 0) * ADDED_SUGAR_WEIGHT - + (df["NUTRITION.TOTAL_FAT"] > 5) * FAT_WEIGHT - ) - - # Sort foods based on score - df = df.sort_values(by="PERSONALIZED_SCORE", ascending=False) - - return df[["ITEM_NAME", "PERSONALIZED_SCORE"]].values.tolist() diff --git a/server/ML_APIS/conda_req.txt b/server/ML_APIS/conda_req.txt deleted file mode 100644 index 7bcc0bb..0000000 --- a/server/ML_APIS/conda_req.txt +++ /dev/null @@ -1,14 +0,0 @@ -joblib==1.4.2 -lightgbm==4.5.0 -numpy==2.1.2 -pandas==2.2.3 -python-dateutil==2.9.0.post0 -pytz==2024.2 -scikit-learn==1.5.2 -scipy==1.14.1 -setuptools==75.1.0 -six==1.16.0 -threadpoolctl==3.5.0 -tzdata==2024.2 -wheel==0.44.0 -xgboost==2.1.1 diff --git a/server/ML_APIS/personalizer.py b/server/ML_APIS/personalizer.py new file mode 100644 index 0000000..4f79246 --- /dev/null +++ b/server/ML_APIS/personalizer.py @@ -0,0 +1,167 @@ +# foodstat_personalizer.py + +from typing import Dict, Union + + +# User Type Rules +RULE_SETS = { + "weight_loss": { + "boost": { + "protein": 0.15 + }, + "penalize": { + "total_sugars": 0.25, + "saturated_fat": 0.2, + "total_fat": 0.1, + "energy": 0.005 # Reduced penalty + } + }, + "weight_gain": { + "boost": { + "protein": 0.2, + "total_fat": 0.2, + "energy": 0.1 + }, + "penalize": { + "fiber": 0.1 + } + }, + "muscle_gain": { + "boost": { + "protein": 0.3, + "total_fat": 0.05 + }, + "penalize": { + "total_sugars": 0.1 + } + }, + "pregnant_mother": { + "boost": { + "protein": 0.2, + "energy": 0.05, + "iron": 0.2, + "calcium": 0.2 + }, + "penalize": { + "saturated_fat": 0.1, + "trans_fat": 0.2, + "total_sugars": 0.1 + } + }, + "infant": { + "boost": { + "iron": 0.2, + "calcium": 0.2 + }, + "penalize": { + "salt": 0.4, + "total_sugars": 0.3, + "trans_fat": 0.3, + "saturated_fat": 0.2 + } + }, + "general_fitness": { + "boost": { + "protein": 0.2, + "fiber": 0.2 + }, + "penalize": { + "total_sugars": 0.1 + } + } +} + + +def parse_float(value: Union[str, float, int]) -> float: + try: + return float(value) + except (ValueError, TypeError): + return 0.0 + + +def personalize_score( + food_item: Dict, + vegFood: Union[str, bool], + user_dict: Dict, + base_health_score: float = 2.5 +) -> float: + user_type = user_dict.get("user_type", "general_fitness") + normalized_type = user_type.strip().lower().replace(" ", "_") + + rules = RULE_SETS.get(normalized_type) + if not rules: + raise ValueError(f"Unsupported user type: {user_type}") + + user_diet = user_dict.get("user_dietType", "non-veg").lower() + user_allergies = user_dict.get("user_allergies") or [] + + # Vegetarian check + if isinstance(vegFood, str): + if user_diet == "veg" and vegFood.lower() != "vegetarian": + print("VEG CONFLICT") + return 0.0 + elif isinstance(vegFood, bool): + if user_diet == "veg" and not vegFood: + print("VEG CONFLICT") + return 0.0 + + # Allergy check + item_allergies = [a.lower() for a in food_item.get("allergy_info", [])] + if any(allergen.lower() in item_allergies for allergen in user_allergies): + print("ALLERGY CONFLICT") + return 0.0 + + nutrition = food_item.get("nutrition", {}) + score = base_health_score + + # Boost nutrients + for nutrient, weight in rules.get("boost", {}).items(): + value = parse_float(nutrition.get(nutrient, 0)) + score += weight * min(value, 100) / 100 # scale each nutrient to [0–1] + + # Penalize nutrients + for nutrient, weight in rules.get("penalize", {}).items(): + value = parse_float(nutrition.get(nutrient, 0)) + score -= weight * min(value, 100) / 100 + + return clamp_score(score) + + +def clamp_score(score: float) -> float: + return round(max(0.0, min(5.0, score)), 2) + +# Demo + +def example(): + food_item = { + "item_category": "NAMKEEN", + "item_name": "Salted Peanuts - Panjwani", + "ingredients": ["Peanuts", "Salt", "Vegetable Oil"], + "allergy_info": ["nuts", "Peanuts"], + "nutrition": { + "energy": "609", + "protein": "0", + "carbohydrate": "28.26", + "total_fat": "47.78", + "total_sugars": "7.26", + "added_sugars": "N/A", + "saturated_fat": "7.86", + "trans_fat": "N/A", + "iron": "2.0", + "calcium": "150" + }, + "veg": True, + "image_url": "", + "user_allergies": ["nuts"] + } + + for user in [ + "weight_loss", + "weight_gain", + "muscle_gain", + "pregnant_mother", + "infant", + "general_fitness" + ]: + personalized = personalize_score(food_item, user) + print(f"{user.replace('_', ' ').capitalize()} Score: {personalized}") diff --git a/server/ML_APIS/pipeline.joblib b/server/ML_APIS/pipeline.joblib deleted file mode 100644 index b02a265..0000000 Binary files a/server/ML_APIS/pipeline.joblib and /dev/null differ diff --git a/server/Notebooks/.ipynb_checkpoints/Add-Nutritional-Scores via GEMINI-checkpoint.ipynb b/server/Notebooks/.ipynb_checkpoints/Add-Nutritional-Scores via GEMINI-checkpoint.ipynb new file mode 100644 index 0000000..816b522 --- /dev/null +++ b/server/Notebooks/.ipynb_checkpoints/Add-Nutritional-Scores via GEMINI-checkpoint.ipynb @@ -0,0 +1,293 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "9f6b17e5", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "16aa6040", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"ModelPaused.json\"\n", + "json_data = []\n", + "with open (path, 'r', encoding='utf-8') as f:\n", + " try:\n", + " data = json.load(f)\n", + " json_data.append(data)\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Error decoding JSON in file {filename}: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "89f685ef", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'item_category': 'BREAKFAST-ITEMS',\n", + " 'item_name': 'Masala oats - Soffola',\n", + " 'ingredients': ['Oats',\n", + " 'Spices and Condiments (Onion, Garlic, Coriander, Turmeric, Chilli, Cumin)',\n", + " 'Salt',\n", + " 'Sugar',\n", + " 'Vegetable Oil',\n", + " 'Dehydrated Vegetables (Carrot, Peas)',\n", + " 'Hydrolyzed Vegetable Protein (Soya)',\n", + " 'Flavour Enhancer (E627, E631)'],\n", + " 'allergy_info': ['Gluten (Oats)', 'Soya'],\n", + " 'nutrition': {'energy': '133',\n", + " 'protein': '2.8',\n", + " 'carbohydrate': '23.8',\n", + " 'total_fat': '3',\n", + " 'total_sugars': '2.4',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '0.04',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': ''}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "json_data[0][1]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c94df23c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting google.generativeai\n", + " Downloading google_generativeai-0.8.4-py3-none-any.whl (175 kB)\n", + " 0.0/175.4 kB ? eta -:--:--\n", + " ---------------------------------------- 175.4/175.4 kB ? eta 0:00:00\n", + "Collecting google-ai-generativelanguage==0.6.15 (from google.generativeai)\n", + " Downloading google_ai_generativelanguage-0.6.15-py3-none-any.whl (1.3 MB)\n", + " 0.0/1.3 MB ? eta -:--:--\n", + " --------------------------------------- 1.3/1.3 MB 81.9 MB/s eta 0:00:01\n", + " 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proto-plus-1.26.1 protobuf-5.29.4 pydantic-2.11.2 pydantic-core-2.33.1 rsa-4.9 typing-inspection-0.4.0 uritemplate-4.1.1\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "WARNING: There was an error checking the latest version of pip.\n" + ] + } + ], + "source": [ + "!pip install google.generativeai" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "82132bc4", + "metadata": {}, + "outputs": [], + "source": [ + "import google.generativeai as genai\n", + "API_KEY = \"AIzaSyDF5f6hvPXATCLy0Ea7xtsbEctxoek-o1c\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "23215194", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'model_name' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[1;32mIn[9], line 2\u001b[0m\n\u001b[0;32m 1\u001b[0m genai\u001b[38;5;241m.\u001b[39mconfigure(api_key\u001b[38;5;241m=\u001b[39mAPI_KEY)\n\u001b[1;32m----> 2\u001b[0m genai\u001b[38;5;241m.\u001b[39mGenerativeModel(model_name\u001b[38;5;241m=\u001b[39mmodel_name)\n", + "\u001b[1;31mNameError\u001b[0m: name 'model_name' is not defined" + ] + } + ], + "source": [ + "genai.configure(api_key=API_KEY)\n", + "genai.GenerativeModel(model_name=\"gemini-1.5-flash\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c017d92", + "metadata": {}, + "outputs": [], + "source": [ + "def format_prompt(food_data: dict) -> str:\n", + " return f\"\"\"\n", + "You are a certified nutritionist. Based on the food product data in this JSON object, return a new JSON object with:\n", + "\n", + "1. INGREDIENT_QUALITY_RATING\n", + "2. HEALTH_IMPACT_RATING\n", + "3. NUTRITIONAL_CONTENT_RATING\n", + "\n", + "Each key should have:\n", + "- \"score\": a number between 0.0 to 5.0\n", + "- \"reason\": a one-line explanation of the score\n", + "\n", + "Input JSON:\n", + "{json.dumps(food_data, indent=2)}\n", + "\"\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a46e9058", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36dde3b8", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6cd5d324", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0db743f6", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/Notebooks/.ipynb_checkpoints/Allergy_info-checkpoint.ipynb b/server/Notebooks/.ipynb_checkpoints/Allergy_info-checkpoint.ipynb new file mode 100644 index 0000000..363fcab --- /dev/null +++ b/server/Notebooks/.ipynb_checkpoints/Allergy_info-checkpoint.ipynb @@ -0,0 +1,6 @@ +{ + "cells": [], + "metadata": {}, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/Notebooks/.ipynb_checkpoints/Barcode Additions-checkpoint.ipynb b/server/Notebooks/.ipynb_checkpoints/Barcode Additions-checkpoint.ipynb new file mode 100644 index 0000000..5255f9d --- /dev/null +++ b/server/Notebooks/.ipynb_checkpoints/Barcode Additions-checkpoint.ipynb @@ -0,0 +1,240 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "e4c41fbf", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "726c8f91", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"Data.json\"\n", + "json_data = []\n", + "with open (path, 'r', encoding='utf-8') as f:\n", + " try:\n", + " data = json.load(f)\n", + " json_data.append(data)\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Error decoding JSON in file {filename}: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "afa5891b", + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "\n", + "def generate_ean13_prefix():\n", + " \"\"\"Generate the first 12 digits (can include a GS1 prefix like '890' for India).\"\"\"\n", + " prefix = \"890\" # GS1 prefix for India\n", + " random_part = ''.join(random.choices(\"0123456789\", k=9))\n", + " return prefix + random_part\n", + "\n", + "def calculate_ean13_check_digit(number):\n", + " \"\"\"Calculate the EAN-13 check digit for a 12-digit number.\"\"\"\n", + " assert len(number) == 12\n", + " total = 0\n", + " for i, digit in enumerate(number):\n", + " n = int(digit)\n", + " total += n if i % 2 == 0 else n * 3\n", + " check_digit = (10 - (total % 10)) % 10\n", + " return str(check_digit)\n", + "\n", + "def generate_valid_ean13():\n", + " \"\"\"Generate a full valid EAN-13 barcode.\"\"\"\n", + " base = generate_ean13_prefix()\n", + " check_digit = calculate_ean13_check_digit(base)\n", + " return base + check_digit" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f491b257", + "metadata": {}, + "outputs": [], + "source": [ + "# Add EAN-13 barcodes\n", + "for item in data:\n", + " item[\"barcode\"] = generate_valid_ean13()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "fd45f24b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'item_category': 'NAMKEEN',\n", + " 'item_name': 'Salted Peanuts - Panjwani',\n", + " 'ingredients': ['Peanuts', 'Salt', 'Vegetable Oil'],\n", + " 'allergy_info': ['nuts', 'Peanuts'],\n", + " 'nutrition': {'energy': '609',\n", + " 'protein': '0',\n", + " 'carbohydrate': '28.26',\n", + " 'total_fat': '47.78',\n", + " 'total_sugars': '7.26',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '7.86',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 3.0,\n", + " 'HEALTH_IMPACT_RATING': 2.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 3.0,\n", + " 'barcode': '8902051185595'}" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "98e030b9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'_id': {'$oid': '670a936ecb72e9a3fd2e3288'},\n", + " 'price_per_unit': {'$NUMBERDECIMAL': '0.6142857143'},\n", + " 'servings': 1,\n", + " 'allergy_info': ['GLUTEN', 'SOY', 'SESAME'],\n", + " 'final_rating': 2.6,\n", + " 'health_impact_rating': 2.4,\n", + " 'ingredient_quality_rating': 2.5,\n", + " 'ingredients': ['REFINED WHEAT FLOUR (MAIDA)',\n", + " 'EDIBLE VEGETABLE OIL (PALM OIL)',\n", + " 'DEHYDRATED PIECES 6.13% (CHICKEN, CARROT, FRFF CABBAGE & CURRY LEAVES)',\n", + " 'HYDROLYSED VEGETABLE PROTEIN POWDER (SOY)',\n", + " 'MIXED SPICES 1.50% (RED CHILLI, TURMERIC, CORIANDER, BLACK PEPPER, CUMIN, FENUGREEK, GINGER, CLOVE, NUTMEG & GREEN CARDAMOM)',\n", + " 'ONION POWDER',\n", + " 'SUGAR',\n", + " 'MALTODEXTRIN',\n", + " 'YEAST EXTRACT POWDER',\n", + " 'CORN STARCH',\n", + " 'FLAVOUR ENHANCERS (INS 631 , INS627 & INS620)',\n", + " 'MILK SOLIDS',\n", + " 'NATURAL IDENTICAL FLAVOUR',\n", + " 'ACIDITY REGULATORS [INS 500, INS 451 & INS 330]',\n", + " 'EDIBLE VEGETABLE OIL(COCONUT OIL)',\n", + " 'THICKENER(INS415)',\n", + " 'ANTIOXIDANT (INS319)'],\n", + " 'item_category': 'INSTANT-NOODLES',\n", + " 'item_name': 'NISSIN SPICED CHICKEN CUP NOODLES',\n", + " 'nutrition': {'energy': 485.19,\n", + " 'protein': 10.28,\n", + " 'carbohydrate': 62.8,\n", + " 'total_sugars': 3.63,\n", + " 'added_sugars': 3.63,\n", + " 'total_fat': 20.22,\n", + " 'saturated_fat': 9.72,\n", + " 'trans_fat': 0.099,\n", + " 'cholestrol': 0.099,\n", + " 'sodium': 1409.17},\n", + " 'nutritional_content_rating': 2.9,\n", + " 'unit': 'G',\n", + " 'veg': False,\n", + " 'image_url': 'https://m.media-amazon.com/images/I/81H5f1NFXmL.jpg',\n", + " 'barcode': '8901316324687'}" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[354]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "c36baf75", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ EAN-13 barcodes added to all items.\n" + ] + } + ], + "source": [ + "# Save to JSON\n", + "with open(\"Data_with_barcodes.json\", \"w\") as f:\n", + " json.dump(data, f, indent=2)\n", + "\n", + "print(\"✅ EAN-13 barcodes added to all items.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "8ac25982", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "420" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(data)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/Notebooks/.ipynb_checkpoints/Data-Curation-checkpoint.ipynb b/server/Notebooks/.ipynb_checkpoints/Data-Curation-checkpoint.ipynb new file mode 100644 index 0000000..27650b8 --- /dev/null +++ b/server/Notebooks/.ipynb_checkpoints/Data-Curation-checkpoint.ipynb @@ -0,0 +1,343 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 28, + "id": "c4497c7e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "94b32155", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"ModelPaused.json\"\n", + "json_data = []\n", + "with open (path, 'r', encoding='utf-8') as f:\n", + " try:\n", + " data = json.load(f)\n", + " json_data.append(data)\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Error decoding JSON in file {filename}: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "a593a402", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'item_category': 'NAMKEEN',\n", + " 'item_name': 'Salted Peanuts - Panjwani',\n", + " 'ingredients': ['Peanuts', 'Salt', 'Vegetable Oil'],\n", + " 'allergy_info': ['nuts', 'Peanuts'],\n", + " 'nutrition': {'energy': '609',\n", + " 'protein': '0',\n", + " 'carbohydrate': '28.26',\n", + " 'total_fat': '47.78',\n", + " 'total_sugars': '7.26',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '7.86',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': ''}" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "json_data[0][0]" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "bfb86b29", + "metadata": {}, + "outputs": [], + "source": [ + "counter = {}\n", + "\n", + "for record in json_data[0]:\n", + " if record['item_category'] in counter:\n", + " counter[record['item_category']] += 1\n", + " else:\n", + " counter[record['item_category']] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "0b9b3635", + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "data": { + "text/plain": [ + "{'NAMKEEN': 47,\n", + " 'BREAKFAST-ITEMS': 42,\n", + " 'BISCUIT': 30,\n", + " 'BEVERAGES': 24,\n", + " 'PASTA': 4,\n", + " 'CHIPS': 19,\n", + " 'BREAD': 5,\n", + " 'READY-TO-EAT-MEALS': 3,\n", + " 'NUTS-SEEDS-DRIED-FRUIT': 13,\n", + " 'PROTEIN-BAR': 12,\n", + " 'FROZEN-SNACKS': 3,\n", + " 'SWEETS': 34,\n", + " 'MISCELLANEOUS': 8,\n", + " 'HEALTH-SUPPLEMENT': 41,\n", + " 'INSTANT-NOODLES': 8,\n", + " 'MEAT/SEAFOOD': 12,\n", + " 'BREAKFAST-CEREALS-AND-GRAINS': 3,\n", + " 'SAUCES-DIPS-SPREADS-CONDIMENTS': 12,\n", + " 'COOKING-OIL': 1,\n", + " 'DAIRY': 8,\n", + " 'SAUCE/CONDIMENT/PICKLE': 8,\n", + " 'BREAKFAST-SPREADS': 6,\n", + " 'BAKING-AND-BATTER-MIXES': 3,\n", + " 'PROTEIN-POWDER': 1,\n", + " 'PANEER': 11,\n", + " 'MILK-FLAVOURING': 1}" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counter" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "d98c2c03", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'NAMKEEN': 47,\n", + " 'BREAKFAST-ITEMS': 42,\n", + " 'HEALTH-SUPPLEMENT': 41,\n", + " 'SWEETS': 34,\n", + " 'BISCUIT': 30,\n", + " 'BEVERAGES': 24,\n", + " 'CHIPS': 19,\n", + " 'NUTS-SEEDS-DRIED-FRUIT': 13,\n", + " 'PROTEIN-BAR': 12,\n", + " 'MEAT/SEAFOOD': 12,\n", + " 'SAUCES-DIPS-SPREADS-CONDIMENTS': 12,\n", + " 'PANEER': 11,\n", + " 'MISCELLANEOUS': 8,\n", + " 'INSTANT-NOODLES': 8,\n", + " 'DAIRY': 8,\n", + " 'SAUCE/CONDIMENT/PICKLE': 8,\n", + " 'BREAKFAST-SPREADS': 6,\n", + " 'BREAD': 5,\n", + " 'PASTA': 4,\n", + " 'READY-TO-EAT-MEALS': 3,\n", + " 'FROZEN-SNACKS': 3,\n", + " 'BREAKFAST-CEREALS-AND-GRAINS': 3,\n", + " 'BAKING-AND-BATTER-MIXES': 3,\n", + " 'COOKING-OIL': 1,\n", + " 'PROTEIN-POWDER': 1,\n", + " 'MILK-FLAVOURING': 1}" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dict(sorted(counter.items(), key=lambda item: item[1], reverse=True))" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "2ffa3dc1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "26" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(counter)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "1b13316b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "26" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(counter)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "051b820b", + "metadata": {}, + "outputs": [], + "source": [ + "lol = []\n", + "for k in counter.keys():\n", + " lol.append({\"_id\" : k})" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "05a33dd8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'_id': 'NAMKEEN'},\n", + " {'_id': 'BREAKFAST-ITEMS'},\n", + " {'_id': 'BISCUIT'},\n", + " {'_id': 'BEVERAGES'},\n", + " {'_id': 'PASTA'},\n", + " {'_id': 'CHIPS'},\n", + " {'_id': 'BREAD'},\n", + " {'_id': 'READY-TO-EAT-MEALS'},\n", + " {'_id': 'NUTS-SEEDS-DRIED-FRUIT'},\n", + " {'_id': 'PROTEIN-BAR'},\n", + " {'_id': 'FROZEN-SNACKS'},\n", + " {'_id': 'SWEETS'},\n", + " {'_id': 'MISCELLANEOUS'},\n", + " {'_id': 'HEALTH-SUPPLEMENT'},\n", + " {'_id': 'INSTANT-NOODLES'},\n", + " {'_id': 'MEAT/SEAFOOD'},\n", + " {'_id': 'BREAKFAST-CEREALS-AND-GRAINS'},\n", + " {'_id': 'SAUCES-DIPS-SPREADS-CONDIMENTS'},\n", + " {'_id': 'COOKING-OIL'},\n", + " {'_id': 'DAIRY'},\n", + " {'_id': 'SAUCE/CONDIMENT/PICKLE'},\n", + " {'_id': 'BREAKFAST-SPREADS'},\n", + " {'_id': 'BAKING-AND-BATTER-MIXES'},\n", + " {'_id': 'PROTEIN-POWDER'},\n", + " {'_id': 'PANEER'},\n", + " {'_id': 'MILK-FLAVOURING'}]" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lol" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "568299fd", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['NAMKEEN', 'BREAKFAST-ITEMS', 'BISCUIT', 'BEVERAGES', 'PASTA', 'CHIPS', 'BREAD', 'READY-TO-EAT-MEALS', 'NUTS-SEEDS-DRIED-FRUIT', 'PROTEIN-BAR', 'FROZEN-SNACKS', 'SWEETS', 'MISCELLANEOUS', 'HEALTH-SUPPLEMENT', 'INSTANT-NOODLES', 'MEAT/SEAFOOD', 'BREAKFAST-CEREALS-AND-GRAINS', 'SAUCES-DIPS-SPREADS-CONDIMENTS', 'COOKING-OIL', 'DAIRY', 'SAUCE/CONDIMENT/PICKLE', 'BREAKFAST-SPREADS', 'BAKING-AND-BATTER-MIXES', 'PROTEIN-POWDER', 'PANEER', 'MILK-FLAVOURING'])" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counter.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "0afb01e9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "359" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(counter.values())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/Notebooks/Allergy_info.ipynb b/server/Notebooks/Allergy_info.ipynb new file mode 100644 index 0000000..eca37a8 --- /dev/null +++ b/server/Notebooks/Allergy_info.ipynb @@ -0,0 +1,690 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "b74b0ee8", + "metadata": {}, + "outputs": [], + "source": [ + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b44a3a51", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unique allergy_info entries:\n", + "- Dairy\n", + "- Egg\n", + "- Fish and Shellfish\n", + "- Gluten\n", + "- May contain Wheat, Soy, Milk\n", + "- Mustard\n", + "- Nuts\n", + "- OATS\n", + "- Others\n", + "- Peanuts\n", + "- Sesame\n", + "- Soya\n", + "- Sulphites\n" + ] + } + ], + "source": [ + "if __name__ == \"__main__\":\n", + " file_path = \"Data_with_normalized_allergy_info.json\" # Replace with your path\n", + " unique_allergies = extract_unique_allergies(file_path)\n", + "\n", + " print(\"Unique allergy_info entries:\")\n", + " for allergy in unique_allergies:\n", + " print(\"-\", allergy)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "d1438555", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Unique allergy_info entries:\n", + "- Dairy\n", + "- Egg\n", + "- Fish and Shellfish\n", + "- Gluten\n", + "- Mustard\n", + "- Nuts\n", + "- OATS\n", + "- Others\n", + "- Peanuts\n", + "- Sesame\n", + "- Soy\n", + "- Soya\n", + "- Sulphites\n", + "- Whear\n", + "- Wheat\n" + ] + } + ], + "source": [ + "import json\n", + "\n", + "def extract_unique_allergies(json_file_path):\n", + " with open(json_file_path, \"r\", encoding=\"utf-8\") as f:\n", + " data = json.load(f)\n", + "\n", + " unique_allergies = set()\n", + "\n", + " for item in data:\n", + " allergy_info = item.get(\"allergy_info\")\n", + " if isinstance(allergy_info, list):\n", + " unique_allergies.update(allergy_info)\n", + " elif isinstance(allergy_info, str):\n", + " unique_allergies.add(allergy_info)\n", + "\n", + " return sorted(unique_allergies)\n", + "\n", + "\n", + "if __name__ == \"__main__\":\n", + " file_path = \"Data_with_normalized_allergy_info.json\" # Replace with your path\n", + " unique_allergies = extract_unique_allergies(file_path)\n", + "\n", + " print(\"Unique allergy_info entries:\")\n", + " for allergy in unique_allergies:\n", + " print(\"-\", allergy)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "78771fbf", + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8cf81903", + "metadata": {}, + "outputs": [], + "source": [ + "# Define group keywords\n", + "category_keywords = {\n", + " \"Dairy\": [\"dairy\", \"milk\", \"cheese\", \"butter\", \"cream\", \"yogurt\", \"whey\", \"paneer\", \"ghee\", \"lactose\"],\n", + " \"Gluten\": [\"gluten\", \"wheat\", \"barley\", \"semolina\", \"oat\", \"spelt\", \"breadcrumbs\"],\n", + " \"Nuts\": [\"nut\", \"nuts\", \"almond\", \"peanut\", \"cashew\", \"pistachio\", \"hazelnut\", \"groundnut\", \"badam\"],\n", + " \"Soya\": [\"soya\", \"soy\", \"lecithin\", \"emulsifier\"],\n", + " \"Sesame\": [\"sesame\", \"tahini\"],\n", + " \"Mustard\": [\"mustard\"],\n", + " \"Sulphites\": [\"sulphite\", \"sulphites\", \"candied fruit\", \"dried fruits\", \"tutti frutti\"],\n", + " \"Egg\": [\"egg\"],\n", + " \"Fish/Shellfish\": [\"fish\", \"shellfish\", \"crustacean\", \"crab\", \"prawn\"],\n", + " \"Coconut\": [\"coconut\"],\n", + " \"Celery\": [\"celery\"],\n", + " \"Phenylalanine\": [\"phenylalanine\"],\n", + " \"Ragi\": [\"ragi\"],\n", + " \"Oats\": [\"oats\"],\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "dc9bafb9", + "metadata": {}, + "outputs": [], + "source": [ + "allergy_entries = [\n", + " \"BARLEY\", \"CELERY\", \"Celery\", \"Coconut\", \"Coconut (if used)\", \"Crustaceans (Crab)\",\n", + " \"Crustaceans (Prawns)\", \"Dairy (Butter)\", \"Dairy (Butter, Cream)\", \"Dairy (Butter, Milk Solids)\",\n", + " \"Dairy (Cheese Powder)\", \"Dairy (Cheese Powder, Milk Solids)\", \"Dairy (Cheese)\", \n", + " \"Dairy (Cheese, Milk Solids)\", \"Dairy (Cream, Milk, Butter)\", \"Dairy (Cream, Milk, Whey)\",\n", + " \"Dairy (Ghee)\", \"Dairy (Ghee, Milk Solids)\", \"Dairy (Goat Milk)\", \"Dairy (Milk Fat)\",\n", + " \"Dairy (Milk Powder)\", \"Dairy (Milk Powder, Lactose)\", \"Dairy (Milk Powder, Whey)\",\n", + " \"Dairy (Milk Protein)\", \"Dairy (Milk Solids)\", \"Dairy (Milk Solids, Butter)\", \n", + " \"Dairy (Milk Solids, Cheese)\", \"Dairy (Milk Solids, Ghee)\", \"Dairy (Milk)\", \n", + " \"Dairy (Milk, Cream)\", \"Dairy (Milk, Lactose, Butterfat, Yogurt)\", \n", + " \"Dairy (Paneer, Cream, Butter)\", \"Dairy (Paneer, Yogurt)\", \"Dairy (Whey)\", \n", + " \"Dairy (Whey, Caseinate, Milk Solids)\", \"Dairy (Whey, Milk Protein)\", \n", + " \"Dairy (Whey, Milk)\", \"Dairy (Yogurt)\", \"Dairy (Yogurt, Milk Solids)\", \n", + " \"Dairy (if Ghee is used)\", \"Egg\", \"Fish\", \"GLUTEN\", \"Gluten (Barley Malt)\", \n", + " \"Gluten (Barley)\", \"Gluten (Barley, Wheat)\", \"Gluten (Breadcrumbs)\", \"Gluten (Oats)\", \n", + " \"Gluten (Oats, Wheat)\", \"Gluten (Oats, Wheat, Barley)\", \"Gluten (Semolina)\", \n", + " \"Gluten (Wheat)\", \"Gluten (Wheat, Barley Malt)\", \"Gluten (Wheat, Barley)\", \n", + " \"Gluten (Wheat, Barley, Oats)\", \"Gluten (Wheat, Oat, Barley)\", \"Gluten (Wheat, Oat, Spelt)\",\n", + " \"Gluten (Wheat, Oats, Barley)\", \"Gluten (Wheat, Semolina)\", \"Gluten (Wheat/Semolina)\", \n", + " \"MILK\", \"MUSTARD\", \"May contain Dairy\", \"May contain Gluten\", \n", + " \"May contain Gluten, Egg, other Nuts\", \"May contain Gluten, Milk, Soy\", \n", + " \"May contain Gluten, Soy, Milk\", \"May contain Gluten, Soya\", \n", + " \"May contain Milk, Soy, Wheat, Egg, Peanut, Tree Nut, Fish, Shellfish\", \n", + " \"May contain Nuts\", \"May contain Nuts, Seeds\", \"May contain Peanuts\", \n", + " \"May contain Soy\", \"May contain Soy, Milk\", \"May contain Soy, Nuts, Peanuts\", \n", + " \"May contain Soya\", \"May contain Soya, Milk, Nuts\", \"May contain Soya, Wheat\", \n", + " \"May contain Soya, Wheat, Milk\", \"May contain Soya/Peanut depending on type\", \n", + " \"May contain Wheat, Soy, Milk\", \"May contain nuts\", \"May contain nuts if Badam flavour\", \n", + " \"May contain other nuts\", \"May contain traces of Milk and Soy\", \n", + " \"May contain traces of Soya and Nuts\", \"May contain traces of nuts\", \n", + " \"May contain traces of shellfish\", \"Mustard\", \"NUTS\", \"OATS\", \"Peanuts\", \n", + " \"Phenylalanine\", \"RAGI\", \"SESAME\", \"SOY\", \"SULPHITE\", \"Sesame\", \n", + " \"Sesame (Tahini)\", \"Soya\", \"Soya (Emulsifier)\", \"Soya (Lecithin)\", \n", + " \"Soya (Lecithins)\", \"Soya (Soy Lecithin)\", \"Soya (Soybean oil)\", \n", + " \"Soya (in chocolate compound)\", \"Sulphites (in Tutti Frutti)\", \n", + " \"Sulphites (in candied fruit)\", \"Sulphites (in dried fruits)\", \"nuts\", \n", + " \"nuts (Almonds)\", \"nuts (Almonds, Cashews)\", \"nuts (Almonds, Cashews, Peanuts)\", \n", + " \"nuts (Almonds, Cashews, Pistachios)\", \"nuts (Almonds, Coconut)\", \n", + " \"nuts (Almonds, Peanuts)\", \"nuts (Almonds, Pistachios)\", \"nuts (Almonds, Raisins)\", \n", + " \"nuts (Cashew)\", \"nuts (Cashew, Almond, Raisin)\", \"nuts (Cashews)\", \n", + " \"nuts (Cashews, Almonds)\", \"nuts (Cashews, Almonds, Pistachios)\", \n", + " \"nuts (Groundnut)\", \"nuts (Hazelnuts)\", \"nuts (Peanuts)\", \"nuts (Peanuts, Almonds)\", \n", + " \"nuts (Peanuts, Cashews)\", \"nuts (Pistachios, Almonds)\", \"nuts (if added)\"\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "21319978", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Grouped Allergy Categories:\n", + "\n", + "== Gluten (24 entries) ==\n", + "- BARLEY\n", + "- GLUTEN\n", + "- Gluten (Barley Malt)\n", + "- Gluten (Barley)\n", + "- Gluten (Barley, Wheat)\n", + "- Gluten (Breadcrumbs)\n", + "- Gluten (Oats)\n", + "- Gluten (Oats, Wheat)\n", + "- Gluten (Oats, Wheat, Barley)\n", + "- Gluten (Semolina)\n", + "- Gluten (Wheat)\n", + "- Gluten (Wheat, Barley Malt)\n", + "- Gluten (Wheat, Barley)\n", + "- Gluten (Wheat, Barley, Oats)\n", + "- Gluten (Wheat, Oat, Barley)\n", + "- Gluten (Wheat, Oat, Spelt)\n", + "- Gluten (Wheat, Oats, Barley)\n", + "- Gluten (Wheat, Semolina)\n", + "- Gluten (Wheat/Semolina)\n", + "- May contain Gluten\n", + "- May contain Gluten, Egg, other Nuts\n", + "- May contain Gluten, Soya\n", + "- May contain Soya, Wheat\n", + "- OATS\n", + "\n", + "== Celery (2 entries) ==\n", + "- CELERY\n", + "- Celery\n", + "\n", + "== Nuts (35 entries) ==\n", + "- Coconut\n", + "- Coconut (if used)\n", + "- May contain Nuts\n", + "- May contain Nuts, Seeds\n", + "- May contain Peanuts\n", + "- May contain Soy, Nuts, Peanuts\n", + "- May contain Soya/Peanut depending on type\n", + "- May contain nuts\n", + "- May contain nuts if Badam flavour\n", + "- May contain other nuts\n", + "- May contain traces of Soya and Nuts\n", + "- May contain traces of nuts\n", + "- NUTS\n", + "- Peanuts\n", + "- nuts\n", + "- nuts (Almonds)\n", + "- nuts (Almonds, Cashews)\n", + "- nuts (Almonds, Cashews, Peanuts)\n", + "- nuts (Almonds, Cashews, Pistachios)\n", + "- nuts (Almonds, Coconut)\n", + "- nuts (Almonds, Peanuts)\n", + "- nuts (Almonds, Pistachios)\n", + "- nuts (Almonds, Raisins)\n", + "- nuts (Cashew)\n", + "- nuts (Cashew, Almond, Raisin)\n", + "- nuts (Cashews)\n", + "- nuts (Cashews, Almonds)\n", + "- nuts (Cashews, Almonds, Pistachios)\n", + "- nuts (Groundnut)\n", + "- nuts (Hazelnuts)\n", + "- nuts (Peanuts)\n", + "- nuts (Peanuts, Almonds)\n", + "- nuts (Peanuts, Cashews)\n", + "- nuts (Pistachios, Almonds)\n", + "- nuts (if added)\n", + "\n", + "== Fish/Shellfish (4 entries) ==\n", + "- Crustaceans (Crab)\n", + "- Crustaceans (Prawns)\n", + "- Fish\n", + "- May contain traces of shellfish\n", + "\n", + "== Dairy (43 entries) ==\n", + "- Dairy (Butter)\n", + "- Dairy (Butter, Cream)\n", + "- Dairy (Butter, Milk Solids)\n", + "- Dairy (Cheese Powder)\n", + "- Dairy (Cheese Powder, Milk Solids)\n", + "- Dairy (Cheese)\n", + "- Dairy (Cheese, Milk Solids)\n", + "- Dairy (Cream, Milk, Butter)\n", + "- Dairy (Cream, Milk, Whey)\n", + "- Dairy (Ghee)\n", + "- Dairy (Ghee, Milk Solids)\n", + "- Dairy (Goat Milk)\n", + "- Dairy (Milk Fat)\n", + "- Dairy (Milk Powder)\n", + "- Dairy (Milk Powder, Lactose)\n", + "- Dairy (Milk Powder, Whey)\n", + "- Dairy (Milk Protein)\n", + "- Dairy (Milk Solids)\n", + "- Dairy (Milk Solids, Butter)\n", + "- Dairy (Milk Solids, Cheese)\n", + "- Dairy (Milk Solids, Ghee)\n", + "- Dairy (Milk)\n", + "- Dairy (Milk, Cream)\n", + "- Dairy (Milk, Lactose, Butterfat, Yogurt)\n", + "- Dairy (Paneer, Cream, Butter)\n", + "- Dairy (Paneer, Yogurt)\n", + "- Dairy (Whey)\n", + "- Dairy (Whey, Caseinate, Milk Solids)\n", + "- Dairy (Whey, Milk Protein)\n", + "- Dairy (Whey, Milk)\n", + "- Dairy (Yogurt)\n", + "- Dairy (Yogurt, Milk Solids)\n", + "- Dairy (if Ghee is used)\n", + "- MILK\n", + "- May contain Dairy\n", + "- May contain Gluten, Milk, Soy\n", + "- May contain Gluten, Soy, Milk\n", + "- May contain Milk, Soy, Wheat, Egg, Peanut, Tree Nut, Fish, Shellfish\n", + "- May contain Soy, Milk\n", + "- May contain Soya, Milk, Nuts\n", + "- May contain Soya, Wheat, Milk\n", + "- May contain Wheat, Soy, Milk\n", + "- May contain traces of Milk and Soy\n", + "\n", + "== Egg (1 entries) ==\n", + "- Egg\n", + "\n", + "== Mustard (2 entries) ==\n", + "- MUSTARD\n", + "- Mustard\n", + "\n", + "== Soya (10 entries) ==\n", + "- May contain Soy\n", + "- May contain Soya\n", + "- SOY\n", + "- Soya\n", + "- Soya (Emulsifier)\n", + "- Soya (Lecithin)\n", + "- Soya (Lecithins)\n", + "- Soya (Soy Lecithin)\n", + "- Soya (Soybean oil)\n", + "- Soya (in chocolate compound)\n", + "\n", + "== Phenylalanine (1 entries) ==\n", + "- Phenylalanine\n", + "\n", + "== Ragi (1 entries) ==\n", + "- RAGI\n", + "\n", + "== Sesame (3 entries) ==\n", + "- SESAME\n", + "- Sesame\n", + "- Sesame (Tahini)\n", + "\n", + "== Sulphites (4 entries) ==\n", + "- SULPHITE\n", + "- Sulphites (in Tutti Frutti)\n", + "- Sulphites (in candied fruit)\n", + "- Sulphites (in dried fruits)\n", + "\n" + ] + } + ], + "source": [ + "# Group entries\n", + "grouped_allergies = defaultdict(list)\n", + "ungrouped = []\n", + "\n", + "for entry in allergy_entries:\n", + " entry_lower = entry.lower()\n", + " found_group = False\n", + " for group, keywords in category_keywords.items():\n", + " if any(keyword in entry_lower for keyword in keywords):\n", + " grouped_allergies[group].append(entry)\n", + " found_group = True\n", + " break\n", + " if not found_group:\n", + " ungrouped.append(entry)\n", + "\n", + "# Output grouped results\n", + "print(\"\\nGrouped Allergy Categories:\\n\")\n", + "for group, items in grouped_allergies.items():\n", + " print(f\"== {group} ({len(items)} entries) ==\")\n", + " for i in sorted(set(items)):\n", + " print(\"-\", i)\n", + " print()\n", + "\n", + "if ungrouped:\n", + " print(\"== Uncategorized Entries ==\")\n", + " for i in sorted(set(ungrouped)):\n", + " print(\"-\", i)" + ] + }, + { + "cell_type": "markdown", + "id": "00694ce6", + "metadata": {}, + "source": [ + "## REGULAR EXPRESSION" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "aa30eb74", + "metadata": {}, + "outputs": [], + "source": [ + "allergy_groups ={\n", + " \"Dairy\": [\n", + " \"Dairy (Butter)\",\n", + " \"Dairy (Butter, Cream)\",\n", + " \"Dairy (Butter, Milk Solids)\",\n", + " \"Dairy (Cheese Powder)\",\n", + " \"Dairy (Cheese Powder, Milk Solids)\",\n", + " \"Dairy (Cheese)\",\n", + " \"Dairy (Cheese, Milk Solids)\",\n", + " \"Dairy (Cream, Milk, Butter)\",\n", + " \"Dairy (Cream, Milk, Whey)\",\n", + " \"Dairy (Ghee)\",\n", + " \"Dairy (Ghee, Milk Solids)\",\n", + " \"Dairy (Goat Milk)\",\n", + " \"Dairy (Milk Fat)\",\n", + " \"Dairy (Milk Powder)\",\n", + " \"Dairy (Milk Powder, Lactose)\",\n", + " \"Dairy (Milk Powder, Whey)\",\n", + " \"Dairy (Milk Protein)\",\n", + " \"Dairy (Milk Solids)\",\n", + " \"Dairy (Milk Solids, Butter)\",\n", + " \"Dairy (Milk Solids, Cheese)\",\n", + " \"Dairy (Milk Solids, Ghee)\",\n", + " \"Dairy (Milk)\",\n", + " \"Dairy (Milk, Cream)\",\n", + " \"Dairy (Milk, Lactose, Butterfat, Yogurt)\",\n", + " \"Dairy (Paneer, Cream, Butter)\",\n", + " \"Dairy (Paneer, Yogurt)\",\n", + " \"Dairy (Whey)\",\n", + " \"Dairy (Whey, Caseinate, Milk Solids)\",\n", + " \"Dairy (Whey, Milk Protein)\",\n", + " \"Dairy (Whey, Milk)\",\n", + " \"Dairy (Yogurt)\",\n", + " \"Dairy (Yogurt, Milk Solids)\",\n", + " \"Dairy (if Ghee is used)\",\n", + " \"May contain Dairy\",\n", + " \"May contain traces of Milk and Soy\"\n", + " ],\n", + " \"Gluten\": [\n", + " \"GLUTEN\",\n", + " \"Gluten (Barley Malt)\",\n", + " \"Gluten (Barley)\",\n", + " \"Gluten (Barley, Wheat)\",\n", + " \"Gluten (Breadcrumbs)\",\n", + " \"Gluten (Oats)\",\n", + " \"Gluten (Oats, Wheat)\",\n", + " \"Gluten (Oats, Wheat, Barley)\",\n", + " \"Gluten (Semolina)\",\n", + " \"Gluten (Wheat)\",\n", + " \"Gluten (Wheat, Barley Malt)\",\n", + " \"Gluten (Wheat, Barley)\",\n", + " \"Gluten (Wheat, Barley, Oats)\",\n", + " \"Gluten (Wheat, Oat, Barley)\",\n", + " \"Gluten (Wheat, Oat, Spelt)\",\n", + " \"Gluten (Wheat, Oats, Barley)\",\n", + " \"Gluten (Wheat, Semolina)\",\n", + " \"Gluten (Wheat/Semolina)\",\n", + " \"May contain Gluten\",\n", + " \"May contain Gluten, Egg, other Nuts\",\n", + " \"May contain Gluten, Milk, Soy\",\n", + " \"May contain Gluten, Soy, Milk\",\n", + " \"May contain Gluten, Soya\"\n", + " ],\n", + " \"Nuts\": [\n", + " \"NUTS\",\n", + " \"May contain Nuts\",\n", + " \"May contain Nuts, Seeds\",\n", + " \"May contain Peanuts\",\n", + " \"May contain nuts\",\n", + " \"May contain nuts if Badam flavour\",\n", + " \"May contain other nuts\",\n", + " \"May contain traces of nuts\",\n", + " \"nuts\",\n", + " \"nuts (Almonds)\",\n", + " \"nuts (Almonds, Cashews)\",\n", + " \"nuts (Almonds, Cashews, Peanuts)\",\n", + " \"nuts (Almonds, Cashews, Pistachios)\",\n", + " \"nuts (Almonds, Coconut)\",\n", + " \"nuts (Almonds, Peanuts)\",\n", + " \"nuts (Almonds, Pistachios)\",\n", + " \"nuts (Almonds, Raisins)\",\n", + " \"nuts (Cashew)\",\n", + " \"nuts (Cashew, Almond, Raisin)\",\n", + " \"nuts (Cashews)\",\n", + " \"nuts (Cashews, Almonds)\",\n", + " \"nuts (Cashews, Almonds, Pistachios)\",\n", + " \"nuts (Groundnut)\",\n", + " \"nuts (Hazelnuts)\",\n", + " \"nuts (Peanuts)\",\n", + " \"nuts (Peanuts, Almonds)\",\n", + " \"nuts (Peanuts, Cashews)\",\n", + " \"nuts (Pistachios, Almonds)\",\n", + " \"nuts (if added)\",\n", + " \"May contain Soy, Nuts, Peanuts\",\n", + " \"May contain Soya, Milk, Nuts\",\n", + " \"May contain traces of Soya and Nuts\"\n", + " ],\n", + " \"Soya\": [\n", + " \"SOY\",\n", + " \"Soya\",\n", + " \"Soya (Emulsifier)\",\n", + " \"Soya (Lecithin)\",\n", + " \"Soya (Lecithins)\",\n", + " \"Soya (Soy Lecithin)\",\n", + " \"Soya (Soybean oil)\",\n", + " \"Soya (in chocolate compound)\",\n", + " \"May contain Soy\",\n", + " \"May contain Soy, Milk\",\n", + " \"May contain Soya\",\n", + " \"May contain Soya, Wheat\",\n", + " \"May contain Soya, Wheat, Milk\",\n", + " \"May contain Soya/Peanut depending on type\"\n", + " ],\n", + " \"Egg\": [\n", + " \"Egg\",\n", + " \"May contain Gluten, Egg, other Nuts\",\n", + " \"May contain Milk, Soy, Wheat, Egg, Peanut, Tree Nut, Fish, Shellfish\"\n", + " ],\n", + " \"Fish and Shellfish\": [\n", + " \"Fish\",\n", + " \"Crustaceans (Crab)\",\n", + " \"Crustaceans (Prawns)\",\n", + " \"May contain Milk, Soy, Wheat, Egg, Peanut, Tree Nut, Fish, Shellfish\",\n", + " \"May contain traces of shellfish\"\n", + " ],\n", + " \"Mustard\": [\n", + " \"MUSTARD\",\n", + " \"Mustard\"\n", + " ],\n", + " \"Sesame\": [\n", + " \"SESAME\",\n", + " \"Sesame\",\n", + " \"Sesame (Tahini)\"\n", + " ],\n", + " \"Sulphites\": [\n", + " \"SULPHITE\",\n", + " \"Sulphites (in Tutti Frutti)\",\n", + " \"Sulphites (in candied fruit)\",\n", + " \"Sulphites (in dried fruits)\"\n", + " ],\n", + " \"Others\": [\n", + " \"BARLEY\",\n", + " \"CELERY\",\n", + " \"Celery\",\n", + " \"Coconut\",\n", + " \"Coconut (if used)\",\n", + " \"May contain Milk, Soy, Wheat, Egg, Peanut, Tree Nut, Fish, Shellfish\",\n", + " \"May contain traces of Milk and Soy\",\n", + " \"OATS\",\n", + " \"Peanuts\",\n", + " \"Phenylalanine\",\n", + " \"RAGI\"\n", + " ]\n", + "}\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bbc71134", + "metadata": {}, + "outputs": [], + "source": [ + "import re\n", + "\n", + "regex_map = {}\n", + "for category, phrases in allergy_groups.items():\n", + " for phrase in phrases:\n", + " # Escape phrase for regex, but allow wildcards for generalization if needed\n", + " pattern = re.escape(phrase.strip()).replace(r'\\(', r'\\(').replace(r'\\)', r'\\)')\n", + " regex_map[pattern] = category\n", + "\n", + "# Convert to a list of (compiled_regex, category) for efficient matching\n", + "compiled_regexes = [(re.compile(rf\"^{pattern}$\", re.IGNORECASE), category) for pattern, category in regex_map.items()]\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "558cdd32", + "metadata": {}, + "outputs": [], + "source": [ + "# Sample raw allergy list to convert\n", + "raw_allergy_list = [\n", + " \"Dairy (Milk Solids)\", \n", + " \"Gluten (Wheat)\", \n", + " \"nuts (Almonds)\", \n", + " \"Soya (Lecithin)\", \n", + " \"May contain Soya\", \n", + " \"Egg\", \n", + " \"Crustaceans (Prawns)\"\n", + "]\n", + "\n", + "# Function to normalize entries to parent categories\n", + "def normalize_allergies(allergy_list):\n", + " normalized = []\n", + " for entry in allergy_list:\n", + " matched = False\n", + " for regex, category in compiled_regexes:\n", + " if regex.match(entry):\n", + " normalized.append(category)\n", + " matched = True\n", + " break\n", + " if not matched:\n", + " normalized.append(\"Unknown\") # or keep entry as-is\n", + " return sorted(set(normalized))\n", + "\n", + "# Run normalization\n", + "normalized_allergies = normalize_allergies(raw_allergy_list)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "2472cec4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " \"Dairy\",\n", + " \"Egg\",\n", + " \"Fish and Shellfish\",\n", + " \"Gluten\",\n", + " \"Nuts\",\n", + " \"Soya\"\n", + "]\n" + ] + } + ], + "source": [ + "\n", + "# Output\n", + "print(json.dumps(normalized_allergies, indent=2))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "31a19bc9", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "29c65365", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/Notebooks/Barcode Additions.ipynb b/server/Notebooks/Barcode Additions.ipynb new file mode 100644 index 0000000..830bded --- /dev/null +++ b/server/Notebooks/Barcode Additions.ipynb @@ -0,0 +1,240 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "48888569", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "2a70485a", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"Data.json\"\n", + "json_data = []\n", + "with open (path, 'r', encoding='utf-8') as f:\n", + " try:\n", + " data = json.load(f)\n", + " json_data.append(data)\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Error decoding JSON in file {filename}: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "9b5bc270", + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "\n", + "def generate_ean13_prefix():\n", + " \"\"\"Generate the first 12 digits (can include a GS1 prefix like '890' for India).\"\"\"\n", + " prefix = \"890\" # GS1 prefix for India\n", + " random_part = ''.join(random.choices(\"0123456789\", k=9))\n", + " return prefix + random_part\n", + "\n", + "def calculate_ean13_check_digit(number):\n", + " \"\"\"Calculate the EAN-13 check digit for a 12-digit number.\"\"\"\n", + " assert len(number) == 12\n", + " total = 0\n", + " for i, digit in enumerate(number):\n", + " n = int(digit)\n", + " total += n if i % 2 == 0 else n * 3\n", + " check_digit = (10 - (total % 10)) % 10\n", + " return str(check_digit)\n", + "\n", + "def generate_valid_ean13():\n", + " \"\"\"Generate a full valid EAN-13 barcode.\"\"\"\n", + " base = generate_ean13_prefix()\n", + " check_digit = calculate_ean13_check_digit(base)\n", + " return base + check_digit" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "82c6384e", + "metadata": {}, + "outputs": [], + "source": [ + "# Add EAN-13 barcodes\n", + "for item in data:\n", + " item[\"barcode\"] = generate_valid_ean13()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "fc21afcc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'item_category': 'NAMKEEN',\n", + " 'item_name': 'Salted Peanuts - Panjwani',\n", + " 'ingredients': ['Peanuts', 'Salt', 'Vegetable Oil'],\n", + " 'allergy_info': ['nuts', 'Peanuts'],\n", + " 'nutrition': {'energy': '609',\n", + " 'protein': '0',\n", + " 'carbohydrate': '28.26',\n", + " 'total_fat': '47.78',\n", + " 'total_sugars': '7.26',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '7.86',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 3.0,\n", + " 'HEALTH_IMPACT_RATING': 2.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 3.0,\n", + " 'barcode': '8907011324908'}" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "db1f96da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'_id': {'$oid': '670a936ecb72e9a3fd2e3288'},\n", + " 'price_per_unit': {'$NUMBERDECIMAL': '0.6142857143'},\n", + " 'servings': 1,\n", + " 'allergy_info': ['GLUTEN', 'SOY', 'SESAME'],\n", + " 'final_rating': 2.6,\n", + " 'health_impact_rating': 2.4,\n", + " 'ingredient_quality_rating': 2.5,\n", + " 'ingredients': ['REFINED WHEAT FLOUR (MAIDA)',\n", + " 'EDIBLE VEGETABLE OIL (PALM OIL)',\n", + " 'DEHYDRATED PIECES 6.13% (CHICKEN, CARROT, FRFF CABBAGE & CURRY LEAVES)',\n", + " 'HYDROLYSED VEGETABLE PROTEIN POWDER (SOY)',\n", + " 'MIXED SPICES 1.50% (RED CHILLI, TURMERIC, CORIANDER, BLACK PEPPER, CUMIN, FENUGREEK, GINGER, CLOVE, NUTMEG & GREEN CARDAMOM)',\n", + " 'ONION POWDER',\n", + " 'SUGAR',\n", + " 'MALTODEXTRIN',\n", + " 'YEAST EXTRACT POWDER',\n", + " 'CORN STARCH',\n", + " 'FLAVOUR ENHANCERS (INS 631 , INS627 & INS620)',\n", + " 'MILK SOLIDS',\n", + " 'NATURAL IDENTICAL FLAVOUR',\n", + " 'ACIDITY REGULATORS [INS 500, INS 451 & INS 330]',\n", + " 'EDIBLE VEGETABLE OIL(COCONUT OIL)',\n", + " 'THICKENER(INS415)',\n", + " 'ANTIOXIDANT (INS319)'],\n", + " 'item_category': 'INSTANT-NOODLES',\n", + " 'item_name': 'NISSIN SPICED CHICKEN CUP NOODLES',\n", + " 'nutrition': {'energy': 485.19,\n", + " 'protein': 10.28,\n", + " 'carbohydrate': 62.8,\n", + " 'total_sugars': 3.63,\n", + " 'added_sugars': 3.63,\n", + " 'total_fat': 20.22,\n", + " 'saturated_fat': 9.72,\n", + " 'trans_fat': 0.099,\n", + " 'cholestrol': 0.099,\n", + " 'sodium': 1409.17},\n", + " 'nutritional_content_rating': 2.9,\n", + " 'unit': 'G',\n", + " 'veg': False,\n", + " 'image_url': 'https://m.media-amazon.com/images/I/81H5f1NFXmL.jpg',\n", + " 'barcode': '8902499777574'}" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data[354]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "7549ebc2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✅ EAN-13 barcodes added to all items.\n" + ] + } + ], + "source": [ + "# Save to JSON\n", + "with open(\"Data_with_barcodes.json\", \"w\") as f:\n", + " json.dump(data, f, indent=2)\n", + "\n", + "print(\"✅ EAN-13 barcodes added to all items.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "bf80811c", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "420" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(data)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/Notebooks/Data-Curation.ipynb b/server/Notebooks/Data-Curation.ipynb new file mode 100644 index 0000000..40c1c45 --- /dev/null +++ b/server/Notebooks/Data-Curation.ipynb @@ -0,0 +1,11446 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "c4497c7e", + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import json" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94b32155", + "metadata": {}, + "outputs": [], + "source": [ + "path = \"Data_with_normalized_allergy_info.json\"\n", + "json_data = []\n", + "with open (path, 'r', encoding='utf-8') as f:\n", + " try:\n", + " data = json.load(f)\n", + " json_data.append(data)\n", + " except json.JSONDecodeError as e:\n", + " print(f\"Error decoding JSON in file {path}: {e}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "a593a402", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'item_category': 'NAMKEEN',\n", + " 'item_name': 'Salted Peanuts - Panjwani',\n", + " 'ingredients': ['Peanuts', 'Salt', 'Vegetable Oil'],\n", + " 'allergy_info': ['Peanuts', 'Nuts'],\n", + " 'nutrition': {'energy': '609',\n", + " 'protein': '0',\n", + " 'carbohydrate': '28.26',\n", + " 'total_fat': '47.78',\n", + " 'total_sugars': '7.26',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '7.86',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 3.0,\n", + " 'HEALTH_IMPACT_RATING': 2.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 3.0,\n", + " 'barcode': '8907011324908'},\n", + " {'item_category': 'BREAKFAST-ITEMS',\n", + " 'item_name': 'Masala oats - Soffola',\n", + " 'ingredients': ['Oats',\n", + " 'Spices and Condiments (Onion, Garlic, Coriander, Turmeric, Chilli, Cumin)',\n", + " 'Salt',\n", + " 'Sugar',\n", + " 'Vegetable Oil',\n", + " 'Dehydrated Vegetables (Carrot, Peas)',\n", + " 'Hydrolyzed Vegetable Protein (Soya)',\n", + " 'Flavour Enhancer (E627, E631)'],\n", + " 'allergy_info': ['Gluten', 'Soya'],\n", + " 'nutrition': {'energy': '133',\n", + " 'protein': '2.8',\n", + " 'carbohydrate': '23.8',\n", + " 'total_fat': '3',\n", + " 'total_sugars': '2.4',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '0.04',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 3.0,\n", + " 'HEALTH_IMPACT_RATING': 3.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 3.0,\n", + " 'barcode': '8905451077637'},\n", + " {'item_category': 'NAMKEEN',\n", + " 'item_name': 'Kai Murruku - Anna bytes',\n", + " 'ingredients': ['Rice Flour',\n", + " 'Urad Dal Flour',\n", + " 'Butter',\n", + " 'Salt',\n", + " 'Asafoetida',\n", + " 'Cumin Seeds',\n", + " 'Vegetable Oil'],\n", + " 'allergy_info': ['Dairy', 'Others'],\n", + " 'nutrition': {'energy': '533',\n", + " 'protein': '10',\n", + " 'carbohydrate': '56.667',\n", + " 'total_fat': '30',\n", + " 'total_sugars': '1.667',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '9.333',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 2.5,\n", + " 'HEALTH_IMPACT_RATING': 1.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.5,\n", + " 'barcode': '8908252869357'},\n", + " {'item_category': 'BISCUIT',\n", + " 'item_name': 'Parle G - 55',\n", + " 'ingredients': ['Wheat Flour',\n", + " 'Sugar',\n", + " 'Vegetable Oil',\n", + " 'Invert Sugar Syrup',\n", + " 'Leavening Agents (Ammonium Bicarbonate, Sodium Bicarbonate)',\n", + " 'Salt',\n", + " 'Milk Solids',\n", + " 'Emulsifiers (Soy Lecithin, Diacetyl Tartaric Acid Esters of Mono- and Diglycerides)',\n", + " 'Artificial Flavour (Milk, Vanilla)'],\n", + " 'allergy_info': ['Dairy', 'Gluten', 'Soya'],\n", + " 'nutrition': {'energy': '454',\n", + " 'protein': '6.9',\n", + " 'carbohydrate': '77.3',\n", + " 'total_fat': '13',\n", + " 'total_sugars': '25.5',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '6',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 1.5,\n", + " 'HEALTH_IMPACT_RATING': 1.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.0,\n", + " 'barcode': '8902649252142'},\n", + " {'item_category': 'BISCUIT',\n", + " 'item_name': 'Yummy - Anmol - 35',\n", + " 'ingredients': ['Wheat Flour',\n", + " 'Sugar',\n", + " 'Vegetable Oil',\n", + " 'Milk Solids',\n", + " 'Corn Starch',\n", + " 'Salt',\n", + " 'Leavening Agents (Sodium Bicarbonate, Ammonium Bicarbonate)',\n", + " 'Emulsifier (Soy Lecithin)',\n", + " 'Artificial Flavours (Vanilla, Milk)'],\n", + " 'allergy_info': ['Dairy', 'Gluten', 'Soya'],\n", + " 'nutrition': {'energy': '474',\n", + " 'protein': '6.27',\n", + " 'carbohydrate': '74.47',\n", + " 'total_fat': '16.89',\n", + " 'total_sugars': '29.6',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '8.81',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 1.5,\n", + " 'HEALTH_IMPACT_RATING': 1.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.0,\n", + " 'barcode': '8905823729935'},\n", + " {'item_category': 'BISCUIT',\n", + " 'item_name': 'White Toast - Innlay Bakery',\n", + " 'ingredients': ['Wheat Flour (Maida)',\n", + " 'Sugar',\n", + " 'Vegetable Oil',\n", + " 'Yeast',\n", + " 'Salt',\n", + " 'Milk Solids',\n", + " 'Emulsifiers',\n", + " 'Preservatives'],\n", + " 'allergy_info': ['Dairy', 'Gluten', 'Soya'],\n", + " 'nutrition': {'energy': '402',\n", + " 'protein': '11.905',\n", + " 'carbohydrate': '83.333',\n", + " 'total_fat': '2.381',\n", + " 'total_sugars': '91.667',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '3.571',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 1.5,\n", + " 'HEALTH_IMPACT_RATING': 1.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.0,\n", + " 'barcode': '8907317355095'},\n", + " {'item_category': 'BEVERAGES',\n", + " 'item_name': 'Strawberry milk - SHATTO',\n", + " 'ingredients': ['Milk',\n", + " 'Sugar',\n", + " 'Strawberry Pulp/Concentrate',\n", + " 'Stabilizers',\n", + " 'Acidity Regulator',\n", + " 'Natural and Artificial Flavours (Strawberry)',\n", + " 'Colour (E124)'],\n", + " 'allergy_info': ['Dairy'],\n", + " 'nutrition': {'energy': '360',\n", + " 'protein': '12',\n", + " 'carbohydrate': '46',\n", + " 'total_fat': '13',\n", + " 'total_sugars': '30',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '8',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 2.0,\n", + " 'HEALTH_IMPACT_RATING': 1.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.5,\n", + " 'barcode': '8901858041127'},\n", + " {'item_category': 'PASTA',\n", + " 'item_name': 'Spaghetti - Lubella',\n", + " 'ingredients': ['Durum Wheat Semolina', 'Water'],\n", + " 'allergy_info': ['Gluten'],\n", + " 'nutrition': {'energy': '351',\n", + " 'protein': '13',\n", + " 'carbohydrate': '70',\n", + " 'total_fat': '1.4',\n", + " 'total_sugars': '4.2',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '0.4',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 4.0,\n", + " 'HEALTH_IMPACT_RATING': 3.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 3.5,\n", + " 'barcode': '8909937163746'},\n", + " {'item_category': 'CHIPS',\n", + " 'item_name': 'Taka tak - 100',\n", + " 'ingredients': ['Rice Meal',\n", + " 'Corn Meal',\n", + " 'Gram Meal',\n", + " 'Vegetable Oil',\n", + " 'Spices and Condiments (Tomato Powder, Onion Powder, Garlic Powder, Chilli Powder, Cumin Powder)',\n", + " 'Salt',\n", + " 'Sugar',\n", + " 'Acidity Regulator (E330)',\n", + " 'Flavour Enhancers (E627, E631)'],\n", + " 'allergy_info': ['Soya', 'Others'],\n", + " 'nutrition': {'energy': '543',\n", + " 'protein': '7',\n", + " 'carbohydrate': '50',\n", + " 'total_fat': '35',\n", + " 'total_sugars': '0.5',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '17',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 1.5,\n", + " 'HEALTH_IMPACT_RATING': 1.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.0,\n", + " 'barcode': '8904380599128'},\n", + " {'item_category': 'BREAD',\n", + " 'item_name': 'Bread - iD',\n", + " 'ingredients': ['Wheat Flour',\n", + " 'Water',\n", + " 'Yeast',\n", + " 'Sugar',\n", + " 'Salt',\n", + " 'Vegetable Oil',\n", + " 'Preservatives',\n", + " 'Emulsifiers'],\n", + " 'allergy_info': ['Gluten'],\n", + " 'nutrition': {'energy': '285',\n", + " 'protein': '0',\n", + " 'carbohydrate': '0.8',\n", + " 'total_fat': '2.9',\n", + " 'total_sugars': '1.5',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '0.6',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 2.0,\n", + " 'HEALTH_IMPACT_RATING': 2.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 1.5,\n", + " 'barcode': '8904898103794'},\n", + " {'item_category': 'BREAKFAST-ITEMS',\n", + " 'item_name': 'Dark chocolate Muesli - Yoga bar',\n", + " 'ingredients': ['Rolled Oats',\n", + " 'Whole Grains (Wheat Flakes, Barley Flakes)',\n", + " 'Seeds (Pumpkin, Chia, Flax)',\n", + " 'Dark Chocolate Compound',\n", + " 'Almonds',\n", + " 'Rice Crispies',\n", + " 'Honey',\n", + " 'Vegetable Oil',\n", + " 'Cocoa Powder',\n", + " 'Natural Flavour (Chocolate)'],\n", + " 'allergy_info': ['Gluten', 'Soya', 'Others', 'Nuts'],\n", + " 'nutrition': {'energy': '437',\n", + " 'protein': '13.3',\n", + " 'carbohydrate': '67',\n", + " 'total_fat': '13.3',\n", + " 'total_sugars': '6.7',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '4.9',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 3.5,\n", + " 'HEALTH_IMPACT_RATING': 3.5,\n", + " 'NUTRITIONAL_CONTENT_RATING': 3.5,\n", + " 'barcode': '8906800790788'},\n", + " {'item_category': 'BREAKFAST-ITEMS',\n", + " 'item_name': 'Muesli+ - Yoga Bar',\n", + " 'ingredients': ['Rolled Oats',\n", + " 'Whole Grains (Wheat Flakes, Jowar Flakes)',\n", + " 'Seeds (Pumpkin, Chia, Flax)',\n", + " 'Nuts (Almonds, Raisins)',\n", + " 'Rice Crispies',\n", + " 'Honey',\n", + " 'Vegetable Oil',\n", + " 'Natural Flavour'],\n", + " 'allergy_info': ['Gluten', 'Others'],\n", + " 'nutrition': {'energy': '418',\n", + " 'protein': '13',\n", + " 'carbohydrate': '70',\n", + " 'total_fat': '9.5',\n", + " 'total_sugars': '4.8',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '2',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 4.0,\n", + " 'HEALTH_IMPACT_RATING': 4.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 4.0,\n", + " 'barcode': '8902696111362'},\n", + " {'item_category': 'MISCELLANEOUS',\n", + " 'item_name': 'Dal makhani - Kohinoor',\n", + " 'ingredients': ['Water',\n", + " 'Black Lentils (Urad Dal)',\n", + " 'Tomatoes',\n", + " 'Onions',\n", + " 'Butter',\n", + " 'Cream',\n", + " 'Vegetable Oil',\n", + " 'Ginger',\n", + " 'Garlic',\n", + " 'Salt',\n", + " 'Spices and Condiments (Coriander, Cumin, Turmeric, Chilli)'],\n", + " 'allergy_info': ['Dairy'],\n", + " 'nutrition': {'energy': '83',\n", + " 'protein': '2.9',\n", + " 'carbohydrate': '13.9',\n", + " 'total_fat': '3.2',\n", + " 'total_sugars': '0.2',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '0.5',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 2.5,\n", + " 'HEALTH_IMPACT_RATING': 2.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 2.5,\n", + " 'barcode': '8900295134126'},\n", + " {'item_category': 'NUTS-SEEDS-DRIED-FRUIT',\n", + " 'item_name': 'Fit mix - Jewel farmer',\n", + " 'ingredients': ['Roasted Almonds',\n", + " 'Roasted Cashews',\n", + " 'Roasted Peanuts',\n", + " 'Pumpkin Seeds',\n", + " 'Sunflower Seeds',\n", + " 'Flax Seeds',\n", + " 'Dried Cranberries',\n", + " 'Raisins'],\n", + " 'allergy_info': ['Nuts'],\n", + " 'nutrition': {'energy': '565',\n", + " 'protein': '15',\n", + " 'carbohydrate': '34.7',\n", + " 'total_fat': '40.7',\n", + " 'total_sugars': '12.6',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '5.78',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': True,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 4.0,\n", + " 'HEALTH_IMPACT_RATING': 4.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 4.0,\n", + " 'barcode': '8906382332062'},\n", + " {'item_category': 'PROTEIN-BAR',\n", + " 'item_name': 'Protien bar - Yoga bar',\n", + " 'ingredients': ['Protein Blend (Whey Protein Concentrate, Soy Protein Isolate)',\n", + " 'Brown Rice Syrup',\n", + " 'Rolled Oats',\n", + " 'Almonds',\n", + " 'Honey',\n", + " 'Peanut Butter',\n", + " 'Seeds (Flax, Chia)',\n", + " 'Cocoa Powder',\n", + " 'Natural Flavours'],\n", + " 'allergy_info': ['Dairy', 'Gluten', 'Soya', 'Nuts'],\n", + " 'nutrition': {'energy': '268',\n", + " 'protein': 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" {'item_category': 'MEAT/SEAFOOD',\n", + " 'item_name': 'Prasuma Chicken Momos',\n", + " 'ingredients': ['Wrapper (Refined Wheat Flour, Water, Salt)',\n", + " 'Filling (Chicken Meat, Onion, Ginger, Garlic, Spices, Soy Sauce, Edible Vegetable Oil)'],\n", + " 'allergy_info': ['Gluten', 'Soya'],\n", + " 'nutrition': {'energy': '210',\n", + " 'protein': '10',\n", + " 'carbohydrate': '25',\n", + " 'total_fat': '8',\n", + " 'total_sugars': '1',\n", + " 'added_sugars': 'N/A',\n", + " 'saturated_fat': '2',\n", + " 'trans_fat': 'N/A'},\n", + " 'veg': False,\n", + " 'image_url': '',\n", + " 'INGREDIENT_QUALITY_RATING': 2.5,\n", + " 'HEALTH_IMPACT_RATING': 2.0,\n", + " 'NUTRITIONAL_CONTENT_RATING': 2.0,\n", + " 'barcode': '8901508148602'},\n", + " {'item_category': 'MEAT/SEAFOOD',\n", + " 'item_name': 'Al Kabeer Chicken Shami Kebab',\n", + " 'ingredients': ['Chicken Meat',\n", + " 'Split Bengal Gram (Chana Dal)',\n", + " 'Onion',\n", + " 'Ginger',\n", + " 'Garlic',\n", + " 'Spices',\n", + " 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'VITAMINS'],\n", + " 'item_category': 'BABY-FOOD',\n", + " 'item_name': 'SLURRP FARM NO ADDED SUGAR INSTANT CEREAL RAGI, RICE AND MANGO WITH MILK 200G',\n", + " 'nutrition': {'energy': 386.7,\n", + " 'protein': 13.4,\n", + " 'carbohydrate': 80.8,\n", + " 'total_sugars': 15,\n", + " 'added_sugars': 0,\n", + " 'fiber': 6.4,\n", + " 'sodium': 27.5,\n", + " 'total_fat': 1.1,\n", + " 'saturated_fat': 0.5,\n", + " 'trans_fat': 0,\n", + " 'cholesterol': 0,\n", + " 'vitamin_a': 400,\n", + " 'vitamin_c': 40,\n", + " 'vitamin_d': 5,\n", + " 'vitamin_e': 2.5,\n", + " 'vitamin_b1': 0.5,\n", + " 'vitamin_b2': 0.6,\n", + " 'nicotinamide': 8,\n", + " 'vitamin_b6': 0.9,\n", + " 'vitamin_b12': 0.6,\n", + " 'folic_acid': 80,\n", + " 'calcium': 600,\n", + " 'iron': 9,\n", + " 'zinc': 5},\n", + " 'nutritional_content_rating': 4.5,\n", + " 'unit': 'G',\n", + " 'veg': True,\n", + " 'image_url': 'https://m.media-amazon.com/images/I/71KwIbGmrZL.jpg',\n", + " 'barcode': '8906014121545'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e326d'},\n", + " 'price_per_unit': {'$NUMBERDECIMAL': '1.95'},\n", + " 'servings': 16,\n", + " 'allergy_info': ['Dairy', 'Soya'],\n", + " 'final_rating': 3.6,\n", + " 'health_impact_rating': 3.5,\n", + " 'ingredient_quality_rating': 3.5,\n", + " 'ingredients': ['WHEY PROTEIN CONCENTRATE(CROSS-FLOW MICROFILTERED'],\n", + " 'item_category': 'PROTEIN-POWDER',\n", + " 'item_name': 'NUTRABAY PURE 100% RAW WHEY PROTEIN CONCENTRATE - 500G',\n", + " 'nutrition': {'energy': 409,\n", + " 'protein': 77.9,\n", + " 'carbohydrate': 7.7,\n", + " 'total_sugars': 7.7,\n", + " 'sugar_natural': 7.7,\n", + " 'total_fat': 7.4,\n", + " 'saturated_fat': 4,\n", + " 'monounsaturated_fat': 1.7,\n", + " 'polyunsaturated_fat': 0.9,\n", + " 'trans_fat': 0.4,\n", + " 'sodium': 221,\n", + " 'cholesterol': 308,\n", + " 'calcium': 8.88,\n", + " 'magnesium': 2.22,\n", + " 'phosphorus': 2.22,\n", + " 'potassium': 6.66},\n", + " 'nutritional_content_rating': 3.8,\n", + " 'unit': 'G',\n", + " 'veg': True,\n", + " 'image_url': 'https://m.media-amazon.com/images/I/610cToOwrZL.jpg',\n", + " 'barcode': '8905735345704'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e323b'},\n", + " 'ingredients': ['Sugar',\n", + " 'Mille Solids (22%)',\n", + " 'Cocoa Butter',\n", + " 'Cocoa Solids',\n", + " 'Emulsifiers (442, 476)',\n", + " 'ADDED FLAVOUR (NATURAL NATURE IDENTICAL AND ARTIFICIAL (ETHYL UANILLIN) FLAVOURING SUBSTANCES)'],\n", + " 'meta': {'url': 'https://www.amazon.in/Cadbury-Dairy-MILK-Chocolate-13-2/dp/B08LPB2958'},\n", + " 'allergy_info': None,\n", + " 'nutrients_per_100g': True,\n", + " 'price': 10,\n", + " 'weight': {'value': 13.2, 'unit': 'g'},\n", + " 'score': None,\n", + " 'nutritional_content_rating': 2,\n", + " 'ingredient_quality_rating': 1.5,\n", + " 'health_impact_rating': 2,\n", + " 'final_rating': 1.8,\n", + " 'veg': True,\n", + " 'item_category': 'SWEETS',\n", + " 'item_name': 'Cadbury Dairy MILK Chocolate Bar',\n", + " 'nutrition': {'energy': 534,\n", + " 'protein': 8.1,\n", + " 'carbohydrate': 60.4,\n", + " 'fiber': 2.1,\n", + " 'total_sugars': 57.3,\n", + " 'total_fat': 28.9,\n", + " 'saturated_fat': 17.5,\n", + " 'trans_fat': 0.2,\n", + " 'sodium': 156},\n", + " 'image_url': 'https://m.media-amazon.com/images/I/61qvMq1Pd0L.jpg',\n", + " 'barcode': '8900688762615'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e3244'},\n", + " 'ingredients': ['Toned MILK Dahi',\n", + " 'Water',\n", + " 'SUGAR',\n", + " 'Stabilizer (E 440)',\n", + " 'NATURE IDENTICAL FLAVOURING SUBSTANCE (ROSE)'],\n", + " 'meta': {'url': 'https://www.amazon.in/Amul-Lassi-250-ml-Carton/dp/B00XBPLCNU'},\n", + " 'allergy_info': None,\n", + " 'nutrients_per_100g': True,\n", + " 'price': 25,\n", + " 'weight': {'value': 250, 'unit': 'ml'},\n", + " 'score': None,\n", + " 'nutritional_content_rating': 2.5,\n", + " 'ingredient_quality_rating': 2,\n", + " 'health_impact_rating': 2.5,\n", + " 'final_rating': 2.3,\n", + " 'veg': True,\n", + " 'servings_size': {'value': None, 'unit': 'g', 'count': None},\n", + " 'servings_per_pack': None,\n", + " 'item_category': 'BEVERAGES',\n", + " 'item_name': 'Amul Lassi Carton',\n", + " 'nutrition': {'energy': 79,\n", + " 'protein': 2.3,\n", + " 'carbohydrate': 12.8,\n", + " 'total_sugars': None,\n", + " 'added_sugars': 12,\n", + " 'total_fat': 2.1,\n", + " 'saturated_fat': 1.4,\n", + " 'trans_fat': 0.1,\n", + " 'calcium': 74},\n", + " 'image_url': 'https://m.media-amazon.com/images/I/41CkFXdPaqL.jpg',\n", + " 'barcode': '8903439554712'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e3266'},\n", + " 'price_per_unit': {'$NUMBERDECIMAL': '0.399'},\n", + " 'servings': None,\n", + " 'allergy_info': ['Nuts'],\n", + " 'final_rating': 4.3,\n", + " 'health_impact_rating': 4,\n", + " 'ingredient_quality_rating': 4.7,\n", + " 'ingredients': ['DRY ROASTED PEANUTS(100%)'],\n", + " 'item_category': 'BREAKFAST-SPREADS',\n", + " 'item_name': 'THE BUTTERNUT CO. NATURAL PEANUT-BUTTER (CRUNCHY) 1KG',\n", + " 'nutrition': {'energy': 640,\n", + " 'protein': 32,\n", + " 'carbohydrate': 15,\n", + " 'sugar_natural': 3,\n", + " 'added_sugars': 0,\n", + " 'total_fat': 50},\n", + " 'nutritional_content_rating': 4.5,\n", + " 'unit': 'G',\n", + " 'veg': True,\n", + " 'image_url': 'https://www.thebutternutcompany.com/cdn/shop/products/61Ccdzs1EjL.jpg?v=1713939903',\n", + " 'barcode': '8908145810206'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e323d'},\n", + " 'ingredients': ['Sugar',\n", + " 'MILK solids (16.2%)',\n", + " 'Fractionated vegetable fat',\n", + " 'Hydrogenated vegetable fats',\n", + " 'Refined Wheat flour (Maida)',\n", + " 'Cocoa solids (4.5%)',\n", + " 'Emulsifier (Soya lecithin)',\n", + " 'Yeast',\n", + " 'Raising agent (500(ii))',\n", + " 'Artificial (Vanilla) flavouring substance',\n", + " 'Iodised salt',\n", + " 'Flour treatment agent (516)',\n", + " 'Nature-identical flavouring substance'],\n", + " 'meta': {'url': 'https://www.amazon.in/Nestl%C3%A9-KITKAT-Chocolate-Coated-Miniature/dp/B079TH8XB6'},\n", + " 'allergy_info': ['Gluten', 'Soya', 'Sesame', 'Dairy', 'Nuts'],\n", + " 'nutrients_per_100g': True,\n", + " 'price': 120,\n", + " 'quantity': 7,\n", + " 'weight': {'value': 126, 'unit': 'g'},\n", + " 'score': None,\n", + " 'nutritional_content_rating': 1.8,\n", + " 'ingredient_quality_rating': 1.5,\n", + " 'health_impact_rating': 1.8,\n", + " 'final_rating': 1.7,\n", + " 'veg': True,\n", + " 'item_category': 'SWEETS',\n", + " 'item_name': 'KIT KAT Minis',\n", + " 'nutrition': {'energy': 438,\n", + " 'protein': 6.4,\n", + " 'carbohydrate': 47.4,\n", + " 'total_sugars': 35.1,\n", + " 'added_sugars': 28.9,\n", + " 'total_fat': 24.8,\n", + " 'saturated_fat': 24.5,\n", + " 'trans_fat': 0.04,\n", + " 'sodium': 97.4},\n", + " 'image_url': 'https://m.media-amazon.com/images/I/61zKERr1vxL.jpg',\n", + " 'barcode': '8909830915749'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e3251'},\n", + " 'ingredients': ['Protein Blend (29%) (Soy Nuggets, Whey Protein Concentrate, Soy Concentrate)',\n", + " 'Brown Rice Syrup',\n", + " 'MILK Compound (19%)',\n", + " 'Sugar',\n", + " 'Edible Vegetable Oil',\n", + " 'MILK Solids',\n", + " 'Cocoa Solids',\n", + " 'Emulsifier (Soy Lecithin)',\n", + " 'Vanilla Flavours',\n", + " 'Dietary Fiber (9%) (Fructooligosacharide,Chicory Root Fiber)',\n", + " 'Edible Vegetable Oil ( Hydrogenated Vegetable Oil )',\n", + " 'Almonds (5.5%)',\n", + " 'Whole Grain Rolled Oats (4.5%)',\n", + " 'Raisins (4%)',\n", + " 'Cashew Nut (3%)',\n", + " 'Humectant (Glycerine)',\n", + " 'Dextrose Monohydrate',\n", + " 'Flaxseeds',\n", + " 'Tribasic Calcium Phosphate',\n", + " 'Fructose',\n", + " 'Soy Protein Isolate',\n", + " 'Emulsifier (Soy Lecithin)',\n", + " 'Binding Agent (Guar Gum)',\n", + " 'Salt',\n", + " 'Citric Acid',\n", + " 'Antioxidants (Vitamin C)',\n", + " 'Vitamins',\n", + " 'Minerals',\n", + " 'Glutamine',\n", + " 'Amino Acids'],\n", + " 'meta': {'url': 'https://www.amazon.in/RiteBite-Work-Choco-Classic-Protein/dp/B00JEXAMHU'},\n", + " 'allergy_info': None,\n", + " 'nutrients_per_100g': False,\n", + " 'nutrients_per': {'value': 50, 'unit': 'g'},\n", + " 'price': 70,\n", + " 'weight': {'value': 50, 'unit': 'g'},\n", + " 'score': None,\n", + " 'nutritional_content_rating': 3.5,\n", + " 'ingredient_quality_rating': 3,\n", + " 'health_impact_rating': 3.5,\n", + " 'final_rating': 3.3,\n", + " 'veg': True,\n", + " 'item_category': 'PROTEIN-BAR',\n", + " 'item_name': 'RiteBite Max Protein Daily Choco Classic 10G Protein Bars',\n", + " 'nutrition': {'energy': 206,\n", + " 'protein': 10,\n", + " 'carbohydrate': 22.8,\n", + " 'fiber': 4,\n", + " 'total_sugars': 7.9,\n", + " 'total_fat': 7.9,\n", + " 'saturated_fat': 2.9,\n", + " 'sodium': 139},\n", + " 'image_url': 'https://www.bigbasket.com/media/uploads/p/l/20002303-3_7-ritebite-max-protein-choco-classic-bar.jpg',\n", + " 'barcode': '8902098327101'},\n", + " {'_id': {'$oid': '670a936ecb72e9a3fd2e3259'},\n", + " 'price_per_unit': {'$NUMBERDECIMAL': '0.4167'},\n", + " 'servings': None,\n", + " 'allergy_info': ['Dairy', 'Soya'],\n", + " 'final_rating': 3.3,\n", + " 'health_impact_rating': 3.5,\n", + " 'ingredient_quality_rating': 3.5,\n", + " 'ingredients': ['RICE',\n", + " 'RICE BRAN OIL',\n", + " 'PULSES (11.4%)',\n", + " 'GREEN PEAS (7.6%)',\n", + " 'SPICES AND CONDIMENTS (SALT, SUGAR, ONION POWDER, GARLIC POWDER, CHILLI POWDER, OREGANO POWDER, CUMIN POWDER, PARSLEY FLAKES, TURMERIC POWDER)',\n", + " 'ANTICAKING AGENT (E551)',\n", + " 'FLAVOUR ENHANCERS (E627, E631)'],\n", + " 'item_category': 'CHIPS',\n", + " 'item_name': 'BRB RICE POPPED CHIPS PERI PERI FLAVOUR 48G',\n", + " 'nutrition': {'energy': 438.8,\n", + " 'protein': 10,\n", + " 'carbohydrate': 68.4,\n", + " 'total_sugars': 2.4,\n", + " 'added_sugars': 1.2,\n", + " 'trans_fat': 0,\n", + " 'sodium': 1157.6,\n", + " 'fiber': 4,\n", + " 'saturated_fat': 3.2,\n", + " 'total_fat': 14},\n", + " 'nutritional_content_rating': 3,\n", + " 'unit': 'G',\n", + " 'veg': True,\n", + " 'image_url': 'https://m.media-amazon.com/images/I/71DoUmPz-KL.jpg',\n", + " 'barcode': '8901513235144'}]" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "json_data[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "bfb86b29", + "metadata": {}, + "outputs": [], + "source": [ + "counter = {}\n", + "\n", + "for record in json_data[0]:\n", + " if record['item_category'] in counter:\n", + " counter[record['item_category']] += 1\n", + " else:\n", + " counter[record['item_category']] = 1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "0b9b3635", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'NAMKEEN': 30,\n", + " 'BREAKFAST-ITEMS': 48,\n", + " 'BISCUIT': 36,\n", + " 'BEVERAGES': 36,\n", + " 'PASTA': 4,\n", + " 'CHIPS': 19,\n", + " 'BREAD': 12,\n", + " 'MISCELLANEOUS': 18,\n", + " 'NUTS-SEEDS-DRIED-FRUIT': 13,\n", + " 'PROTEIN-BAR': 18,\n", + " 'SWEETS': 40,\n", + " 'PROTEIN-POWDER': 25,\n", + " 'INSTANT-NOODLES': 14,\n", + " 'MEAT/SEAFOOD': 12,\n", + " 'BREAKFAST-SPREADS': 20,\n", + " 'SAUCE/CONDIMENT/PICKLE': 20,\n", + " 'MILK-FLAVOURING': 11,\n", + " 'HEALTH-SUPPLEMENT': 19,\n", + " 'DAIRY': 8,\n", + " 'PANEER': 11,\n", + " 'BABY-FOOD': 6}" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counter" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "bcfd2059", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(counter)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "d98c2c03", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'BREAKFAST-ITEMS': 48,\n", + " 'SWEETS': 40,\n", + " 'BISCUIT': 36,\n", + " 'BEVERAGES': 36,\n", + " 'NAMKEEN': 30,\n", + " 'PROTEIN-POWDER': 25,\n", + " 'BREAKFAST-SPREADS': 20,\n", + " 'SAUCE/CONDIMENT/PICKLE': 20,\n", + " 'CHIPS': 19,\n", + " 'HEALTH-SUPPLEMENT': 19,\n", + " 'MISCELLANEOUS': 18,\n", + " 'PROTEIN-BAR': 18,\n", + " 'INSTANT-NOODLES': 14,\n", + " 'NUTS-SEEDS-DRIED-FRUIT': 13,\n", + " 'BREAD': 12,\n", + " 'MEAT/SEAFOOD': 12,\n", + " 'MILK-FLAVOURING': 11,\n", + " 'PANEER': 11,\n", + " 'DAIRY': 8,\n", + " 'BABY-FOOD': 6,\n", + " 'PASTA': 4}" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dict(sorted(counter.items(), key=lambda item: item[1], reverse=True))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1b13316b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "21" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(counter)" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "051b820b", + "metadata": {}, + "outputs": [], + "source": [ + "lol = []\n", + "for k in counter.keys():\n", + " lol.append({\"_id\" : k})" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "05a33dd8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'_id': 'NAMKEEN'},\n", + " {'_id': 'BREAKFAST-ITEMS'},\n", + " {'_id': 'BISCUIT'},\n", + " {'_id': 'BEVERAGES'},\n", + " {'_id': 'PASTA'},\n", + " {'_id': 'CHIPS'},\n", + " {'_id': 'BREAD'},\n", + " {'_id': 'MISCELLANEOUS'},\n", + " {'_id': 'NUTS-SEEDS-DRIED-FRUIT'},\n", + " {'_id': 'PROTEIN-BAR'},\n", + " {'_id': 'SWEETS'},\n", + " {'_id': 'PROTEIN-POWDER'},\n", + " {'_id': 'INSTANT-NOODLES'},\n", + " {'_id': 'MEAT/SEAFOOD'},\n", + " {'_id': 'BREAKFAST-SPREADS'},\n", + " {'_id': 'SAUCE/CONDIMENT/PICKLE'},\n", + " {'_id': 'MILK-FLAVOURING'},\n", + " {'_id': 'HEALTH-SUPPLEMENT'},\n", + " {'_id': 'DAIRY'},\n", + " {'_id': 'PANEER'},\n", + " {'_id': 'BABY-FOOD'}]" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "lol" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "568299fd", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "dict_keys(['NAMKEEN', 'BREAKFAST-ITEMS', 'BISCUIT', 'BEVERAGES', 'PASTA', 'CHIPS', 'BREAD', 'READY-TO-EAT-MEALS', 'NUTS-SEEDS-DRIED-FRUIT', 'PROTEIN-BAR', 'FROZEN-SNACKS', 'SWEETS', 'MISCELLANEOUS', 'HEALTH-SUPPLEMENT', 'INSTANT-NOODLES', 'MEAT/SEAFOOD', 'BREAKFAST-CEREALS-AND-GRAINS', 'SAUCES-DIPS-SPREADS-CONDIMENTS', 'COOKING-OIL', 'DAIRY', 'SAUCE/CONDIMENT/PICKLE', 'BREAKFAST-SPREADS', 'BAKING-AND-BATTER-MIXES', 'PROTEIN-POWDER', 'PANEER', 'MILK-FLAVOURING'])" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "counter.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "0afb01e9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "420" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "sum(counter.values())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/server/app.py b/server/app.py index 488228a..662cd2c 100644 --- a/server/app.py +++ b/server/app.py @@ -1,60 +1,118 @@ from bson import ObjectId -from flask import Flask, jsonify, request +from flask import Flask, flash, jsonify, redirect, request, url_for +from flask_login import LoginManager, login_user from pymongo import ASCENDING, DESCENDING from database import db -from flask_cors import CORS -from ML_APIS.PredictNutritionalRating import predict_food_rating, load_model -from ML_APIS.RuleBasedRecommendation import personalize_food_recommendation +from models import User +from routes import register_routes +from ML_APIS.personalizer import personalize_score +from ML_APIS.Gemini_API.fetch_ratings import get_structured_rating +from Barcode.barcode_utils import analyze_barcode_from_base64 -app = Flask(__name__) -CORS(app, origins=["http://localhost:3000", "http://localhost:5000"]) +# Collection Database collection = db["food_items"] +accounts_collection = db["accounts"] +users_collection = db["users"] +# Flask extension initialization +login_manager = LoginManager() +login_manager.login_view = "routes_bp.login" -@app.route("/login", methods=["POST"]) -def login(): - data = request.json - if data is None: - return jsonify("Error, Please provide valid data in form"), 400 - username = data.get("username") - password = data.get("password") - accounts = db["accounts"] +@login_manager.user_loader +def load_user(user_id): + user_doc = accounts_collection.find_one({"_id": ObjectId(user_id)}) + return User(user_doc) if user_doc else None - try: - if not username or not password: - raise ValueError - - account = accounts.find_one({"username": username}, {"password": 1, "_id": 1}) - if account is None: - raise ValueError - if account["password"] != password: - raise ValueError +# Flask App Setup +app = Flask(__name__) +app.secret_key = "25_din_mai_paisa_double" # TODO: take secret key from env - except ValueError: - return jsonify("Error, Invalid credentials"), 400 +# App Logger alias +log = app.logger - return jsonify({"id": str(account["_id"])}), 200 +# Flask extensions setup +login_manager.init_app(app) +register_routes(app) -@app.route("/sign_up", methods=["POST"]) +@app.post("/login") +def login(): + username = request.form["username"] + password = request.form["password"] + next_page = request.args.get("next") + user_doc = accounts_collection.find_one({"username": username}) + print(f"username:{username},password:{password}") + print(user_doc) + print(f"success:{user_doc["password"] == password}") + if user_doc and user_doc["password"] == password: + print("Logged in") + login_user(User(user_doc)) + flash(f"Logged in as {username}", "info") + return redirect(next_page or url_for("routes_bp.profile")) + flash("Invalid credentials", "error") + return redirect(url_for("routes_bp.login")) + + +@app.post("/sign_up") def sign_up(): - data = request.json - if data is None: - return jsonify("Error, Please provide valid data in form"), 400 - username = data.get("username") - password = data.get("password") - try: - if not username or not password: - raise ValueError - account = {"username": username, "password": password} - accounts = db["accounts"] - accounts.insert_one(account) - except ValueError: - return jsonify("Error, Invalid credentials"), 400 + form = request.form.to_dict() + log.info(form) + + username = form.get("username") + password = form.get("password") + + # Check if user exists + if accounts_collection.find_one({"username": username}): + flash(f"{username} already exits", "info") + return redirect(url_for("routes_bp.login")) + + # Create account without any profile + account = { + "username": username, + "password": password, + "default_profile_id": None, + "profiles": [], + } + account_result = accounts_collection.insert_one(account) + account_id = account_result.inserted_id + + # Create user profile + profile = { + "account_id": account_id, + "profile_name": form.get("profile_name") or form.get("username"), + "first_name": form.get("first_name"), + "last_name": form.get("last_name"), + "gender": form.get("gender"), + "user_type": form.get("user_type"), + "weight": float(form.get("weight", 0)), + "height": float(form.get("height", 0)), + "age": int(form.get("age", 0)), + "diet_type": form.get("diet_type"), + "allergy_info": [ + item.strip() + for item in form.get("allergy_info", "").split(",") + if item.strip() + ], # comma seperated values + "diseases": [ + item.strip() + for item in form.get("disease_info", "").split(",") + if item.strip() + ], # comma seperated values + } - return jsonify({"id": str(account["_id"])}), 200 + profile_result = users_collection.insert_one(profile) + profile_id = profile_result.inserted_id + + # Update account with default_profile_id and profiles list + accounts_collection.update_one( + {"_id": account_id}, + {"$set": {"default_profile_id": profile_id}, "$push": {"profiles": profile_id}}, + ) + + flash("Account created succesfully! Please Log in") + return redirect(url_for("routes_bp.login")) @app.route("/api/user//profiles", methods=["GET"]) @@ -80,7 +138,7 @@ def get_user_profiles(user_id): def post_user_profiles(user_id): accounts = db["accounts"] users = db["users"] - account = accounts.find_one(ObjectId(user_id), {"profiles": 1}) + account = accounts.find_one(str(user_id), {"profiles": 1}) if account is None: return jsonify("Error, Account not found"), 400 @@ -90,7 +148,7 @@ def post_user_profiles(user_id): return jsonify("Error, Please provide valid data in form"), 400 userType = data.get("user_type", "General Fitness") - profile_name = data("profile_name", "profile 1") + profile_name = data.get("profile_name", "profile 1") firstName = data.get("firstName", "") lastName = data.get("lastName", "") gender = data.get("gender", "Male") @@ -126,14 +184,47 @@ def post_user_profiles(user_id): ) -@app.route("/api/profiles/", methods=["GET"]) +@app.route("/api/profiles/", methods=["GET", "PUT"]) # Add PUT method def get_user_profile(profile_id): users = db["users"] - user = users.find_one(ObjectId(profile_id)) - if not user: - return jsonify("No User Found"), 404 - user["_id"] = str(user["_id"]) - return jsonify(user) + if request.method == "GET": # Existing GET logic + user = users.find_one(ObjectId(profile_id)) + if not user: + return jsonify("No User Found"), 404 + user["_id"] = str(user["_id"]) + return jsonify(user) + elif request.method == "PUT": # New PUT logic for updates + data = request.json + if not data: + return jsonify({"message": "No data provided for update"}), 400 + + updated_user_data = { + "profile_name": data.get("profile_name"), + "firstName": data.get("firstName"), + "lastName": data.get("lastName"), + "gender": data.get("gender"), + "weight": data.get("weight"), + "height": data.get("height"), + "age": data.get("age"), + "userType": data.get("userType"), + "dietType": data.get("dietType"), + "allergy_info": data.get("allergy_info"), + "diseases": data.get("diseases"), + } + + try: + users.update_one({"_id": ObjectId(profile_id)}, {"$set": updated_user_data}) + updated_user = users.find_one(ObjectId(profile_id)) # Fetch updated user + updated_user["_id"] = str(updated_user["_id"]) # Convert ObjectId to string + return ( + jsonify( + {"message": "Profile updated successfully", "profile": updated_user} + ), + 200, + ) + except Exception as e: + print(f"Error updating profile: {e}") + return jsonify({"message": "Error updating profile"}), 500 @app.route("/api/food_items/", methods=["GET"]) @@ -161,7 +252,18 @@ def get_food_item_by_id(id): return jsonify(document) -@app.route("/api/food_items//filter/", methods=["GET"]) +@app.route("/api/categories", methods=["GET"]) +def get_categories(): + """ + Returns a list of distinct food categories from the database. + """ + categories = collection.distinct( + "item_category" + ) # 'collection' is your MongoDB collection object + return jsonify(categories) + + +@app.route("/api/food_items/category//filter/", methods=["GET"]) def get_food_items_by_profile(category, profile_id): projection = { "_id": 1, @@ -170,33 +272,61 @@ def get_food_items_by_profile(category, profile_id): "image_url": 1, "final_rating": 1, "allergy_info": 1, + "nutrition": 1, + "veg": 1, # Needed for vegetarian check } + users = db["users"] user = users.find_one(ObjectId(profile_id)) if user is None: - return jsonify({"Error": "Object not found"}), 404 + return jsonify({"Error": "User not found"}), 404 - food_items_list = personalize_food_recommendation( - category=category, - user_type=user["userType"], - sex=user["gender"], - height=user["height"], - weight=user["weight"], - age=user["age"], - ) + food_items_cursor = collection.find({"item_category": category.upper()}, projection) + + # Ensure consistent formats + user_type = user.get("userType", "general_fitness") + user_dietType = user.get("dietType", "veg") + user_allergies = user.get("allergy_info", []) + user_diseases = user.get("diseases", []) results = [] - for food_items in food_items_list: - name = food_items[0] - personalised_score = food_items[1] - document = collection.find_one({"item_name": name}, projection) - if document is not None: - document["_id"] = str(document["_id"]) - document["personalised_score"] = personalised_score - results.append(document) + for item in food_items_cursor: + base_score = item.get("final_rating", 1.5) + nutrition = item.get("nutrition", {}) + vegFood = item.get("veg", True) + item_allergies = item.get("allergy_info", []) + + food_item = { + "nutrition": nutrition, + "veg": vegFood, + "allergy_info": item_allergies, + "user_allergies": user_allergies, # Needed for allergy comparison + } + + try: + personalized_score = personalize_score( + food_item=food_item, + vegFood=vegFood, + user_dict={ + "user_type": user_type, + "user_allergies": user_allergies, + "user_diseases": user_diseases, + "user_dietType": user_dietType, + }, + base_health_score=base_score, + ) + except Exception as e: + print(f"Error scoring item '{item.get('item_name', '')}': {e}") + personalized_score = base_score # fallback score + + item["_id"] = str(item["_id"]) + item["personalised_score"] = personalized_score + results.append(item) + + # Sort by personalised score (descending) + results.sort(key=lambda x: x["personalised_score"], reverse=True) - results = sorted(results, key=lambda x: x["personalised_score"], reverse=True) return jsonify(results) @@ -226,32 +356,49 @@ def get_food_items_by_category(category): return jsonify(results) -@app.route("/api/food_items/rating", methods=["POST"]) -def get_food_item_rating(): - keys = [ - "NUTRITION.ENERGY", # Example energy value - "NUTRITION.PROTEIN", # Example protein value - "NUTRITION.CARBOHYDRATE", # Example carbs value - "NUTRITION.TOTAL_SUGARS", # Example sugars value - "NUTRITION.ADDED_SUGARS", # Example added sugars value - "NUTRITION.TOTAL_FAT", # Example fat value - "NUTRITION.SATURATED_FAT", # Example saturated fat value - "NUTRITION.FIBER", # Example fiber value - "NUTRITION.SODIUM", # Example sodium value - ] +@app.route("/api/form/rating", methods=["POST"]) +def get_food_item_rating(): ## GEMINI_CALLS data = request.json print(data) - if data is None: - return jsonify("Error, Please provide valid data in form"), 400 - nutrition_info = {} - for key in keys: - nutrition_info[key] = int(data.get(key, 0)) + result = get_structured_rating(data) + return jsonify({"Rating": result}), 200 - nutrition_model = load_model("ML_APIS/pipeline.joblib") - rating = predict_food_rating(input_data=nutrition_info, model=nutrition_model) - print("Type of rating:", type(rating)) - return jsonify({"Rating": rating}), 200 + +@app.post("/api/message") +def add_message(): + name = request.form["name"] + email = request.form["email"] + message = request.form["message"] + + message_collection = db["message"] + try: + message_collection.insert_one( + {"name": name, "email": email, "message": message} + ) + flash("Your Message has been sent successfully", "info") + except: + flash("Sorry an Error Occurred! We cannot recieve your message :(", "error") + return redirect(url_for("routes_bp.contact")) + + +@app.route("/upload-scan", methods=["POST"]) +def upload_scan(): + try: + data = request.get_json() + image_data = data.get("image") + if not image_data: + return jsonify({"error": "No image data received"}), 400 + + barcodes = analyze_barcode_from_base64(image_data) + + return jsonify({"message": "Barcode analysis complete", "barcodes": barcodes}) + + except Exception as e: + return jsonify({"error": str(e)}), 500 if __name__ == "__main__": - app.run(debug=True) + app.run(debug=True, host="127.0.0.1", port=5000) + +# for rule in app.url_map.iter_rules(): +# print(rule) diff --git a/server/html.snippets b/server/html.snippets new file mode 100644 index 0000000..ded3b45 --- /dev/null +++ b/server/html.snippets @@ -0,0 +1,52 @@ +Dynamic Ingredients List: +
    + {% if product.ingredients and product.ingredients|length > 0 %} + {% for ingredient in product.ingredients %} +
  • {{ ingredient }}
  • + {% endfor %} + {% else %} +
  • No ingredients listed.
  • + {% endif %} +
+ + +Dynamic Nutrition Facts: + +
+ {% if product.nutrition %} + {% for nutrient, value in product.nutrition.items() %} +

{{ nutrient }}: {{ value }}

+ {% endfor %} + {% else %} +

No nutrition information available.

+ {% endif %} +
+ + +Dynamic Product Name and Rating: + +

{{ product.item_name }}

+... +{{ product.final_rating | round(1) }} + + +Dynamic Image Source and Alt Text: + +{{ product.item_name }} + + + + +Product Card "View Details" Link (Placeholder): + +View Details + + + +Category Sidebar (Dynamic List): + + \ No newline at end of file diff --git a/server/main.py b/server/main.py deleted file mode 100644 index e71827d..0000000 --- a/server/main.py +++ /dev/null @@ -1,6 +0,0 @@ -def main(): - print("Hello from server!") - - -if __name__ == "__main__": - main() diff --git a/server/models.py b/server/models.py new file mode 100644 index 0000000..ded5a81 --- /dev/null +++ b/server/models.py @@ -0,0 +1,9 @@ +from flask_login import UserMixin + + +class User(UserMixin): + def __init__(self, user_doc): + super().__init__() + self.id = str(user_doc["_id"]) + self.username = user_doc["username"] + self.default_profile_id = user_doc["default_profile_id"] diff --git a/server/pyproject.toml b/server/pyproject.toml index 42a5cbd..199e93e 100644 --- a/server/pyproject.toml +++ b/server/pyproject.toml @@ -4,4 +4,68 @@ version = "0.1.0" description = "Add your description here" readme = "README.md" requires-python = ">=3.12" -dependencies = [] +dependencies = [ + "annotated-types==0.7.0", + "blinker==1.9.0", + "cachetools==5.5.2", + "certifi==2025.1.31", + "charset-normalizer==3.4.1", + "blinker==1.9.0", + "click==8.1.8", + "colorama==0.4.6", + "dnspython==2.7.0", + "dotenv==0.9.9", + "flask==3.1.0", + "flask-cors==5.0.1", + "google-ai-generativelanguage==0.6.15", + "google-api-core==2.24.2", + "google-api-python-client==2.166.0", + "google-auth==2.38.0", + "google-auth-httplib2==0.2.0", + "google-generativeai==0.8.4", + "googleapis-common-protos==1.69.2", + "grpcio==1.71.0", + "grpcio-status==1.71.0", + "httplib2==0.22.0", + "idna==3.10", + "flask-login>=0.6.3", + "itsdangerous==2.2.0", + "jinja2==3.1.6", + "joblib==1.4.2", + "markupsafe==3.0.2", + "numpy==2.1.2", + "opencv-python>=4.11.0.86", + "pandas==2.2.3", + "proto-plus==1.26.1", + "protobuf==5.29.4", + "pyasn1==0.6.1", + "pyasn1-modules==0.4.2", + "pydantic==2.11.2", + "pydantic-core==2.33.1", + "pymongo==4.11.3", + "pyparsing==3.2.3", + "python-dateutil==2.9.0.post0", + "python-dotenv==1.1.0", + "pytz==2024.2", + "requests==2.32.3", + "rsa==4.9", + "pandas==2.2.3", + "pymongo==4.11.3", + "python-dateutil==2.9.0.post0", + "python-dotenv==1.1.0", + "pytz==2024.2", + "scikit-learn==1.5.2", + "scipy==1.14.1", + "six==1.16.0", + "threadpoolctl==3.5.0", + "tqdm==4.67.1", + "typing-extensions==4.13.1", + "typing-inspection==0.4.0", + "tzdata==2024.2", + "uritemplate==4.1.1", + "urllib3==2.3.0", + "tzdata==2024.2", + "werkzeug==3.1.3", + "pillow", + "pyzbar>=0.1.9", +] diff --git a/server/requirements.txt b/server/requirements.txt index ff9023b..0a58af3 100644 Binary files a/server/requirements.txt and b/server/requirements.txt differ diff --git a/server/routes.py b/server/routes.py new file mode 100644 index 0000000..1796d4d --- /dev/null +++ b/server/routes.py @@ -0,0 +1,274 @@ +from bson import ObjectId +import flask +import random +from database import db +from flask import ( + Blueprint, + Response, + flash, + redirect, + render_template, + request, + url_for, +) +from flask_login import current_user, login_required, logout_user +from database import db + + +collection = db["food_items"] +users_collection = db["accounts"] +images_collection = db["images"] + +routes_bp = Blueprint("routes_bp", __name__) + + +@routes_bp.get("/") +def index() -> Response: + return redirect(url_for("routes_bp.home")) + + +@routes_bp.get("/home") +def home() -> str: + # TODO: add database query to get data + categories = [ + { + "title": "Fresh Fruits", + "desc": "Discover vitamin-rich fruits for daily nutrition", + "img": "freshFruits.png", + "alt": "Fresh Fruits", + }, + { + "title": "Vegetables", + "desc": "Explore fiber-packed vegetable options", + "img": "vegetables.png", + "alt": "Vegetables", + }, + { + "title": "Proteins", + "desc": "Essential proteins for muscle health", + "img": "proteins.png", + "alt": "Proteins", + }, + { + "title": "Whole Grains", + "desc": "Nutritious grains for sustained energy", + "img": "wholeGrains.png", + "alt": "Grains", + }, + ] + + return render_template("home.jinja", categories=categories) + + +@routes_bp.get("/category") +def category() -> str: + categories_collection = db["categories"] + items_collection = db["food_items"] + + # All categories for sidebar + categories = list(categories_collection.find({}).sort("_id", 1)) + + # Parse filters from request + selected_categories = request.args.getlist("categories") + selected_types = request.args.getlist("type") + personalized = request.args.get("personalized") + search_query = request.args.get("search", "").strip() + + query = {} + + if search_query: + query["item_name"] = {"$regex": search_query, "$options": "i"} + + if selected_categories: + query["item_category"] = {"$in": selected_categories} + + if "veg" in selected_types and "nonveg" not in selected_types: + query["veg"] = True + elif "nonveg" in selected_types and "veg" not in selected_types: + query["veg"] = False + + items = list(items_collection.find(query)) + + # --- Personalized logic --- + if personalized: + if not current_user.is_authenticated: + flash("Log in to use personalized recommendations.", "warning") + return redirect(url_for("routes_bp.login", next=request.full_path)) + + profile_id = current_user.default_profile_id + profile = db["users"].find_one({"_id": ObjectId(profile_id)}) + + if profile: + user_type = profile.get("userType", "general_fitness") + user_dietType = profile.get("dietType", "veg") + user_allergies = profile.get("allergy_info", []) + user_diseases = profile.get("diseases", []) + + results = [] + for item in items: + base_score = item.get("final_rating", 1.5) + nutrition = item.get("nutrition", {}) + vegFood = item.get("veg", True) + item_allergies = item.get("allergy_info", []) + + food_item = { + "nutrition": nutrition, + "veg": vegFood, + "allergy_info": item_allergies, + "user_allergies": user_allergies, + } + + try: + personalized_score = personalize_score( + food_item=food_item, + vegFood=vegFood, + user_dict={ + "user_type": user_type, + "user_allergies": user_allergies, + "user_diseases": user_diseases, + "user_dietType": user_dietType, + }, + base_health_score=base_score, + ) + except Exception as e: + print(f"Error scoring item '{item.get('item_name', '')}': {e}") + personalized_score = base_score # fallback score + + item["personalised_score"] = personalized_score + results.append(item) + + # Sort by personalised score (descending) + items = sorted(results, key=lambda x: x["personalised_score"], reverse=True) + + category_images = { + img["_id"]: img["image_url"] for img in images_collection.find({}) + } + + for item in items: + if not item.get("image_url"): + cat = item.get("item_category","").upper() + fallback_imgs = category_images.get(cat, []) + if fallback_imgs: + item["image_url"] = random.choice(fallback_imgs) + + return render_template( + "category.jinja", + categories=categories, + items=items, + selected_categories=selected_categories, + selected_types=selected_types, + personalized=bool(personalized), + search_query=search_query, + ) + + +@routes_bp.get("/food_item/") +def food_item(food_item_id: str) -> str: + items_collection = db["food_items"] + + # Fetch item from database + food_item = items_collection.find_one({"_id": ObjectId(food_item_id)}) + + if not food_item: + flash("Food item not found.", "danger") + return redirect(url_for("routes_bp.category")) + + if not food_item.get("image_url"): + cat = food_item.get("item_category","").upper() + category_image_doc = images_collection.find_one({"_id":cat}) + if category_image_doc and "image_url" in category_image_doc: + fallback_images = category_image_doc["image_url"] + if fallback_images: + food_item["image_url"] = random.choice(fallback_images) + + return render_template("food_item.jinja", food_item=food_item) + + +@routes_bp.get("/contact") +def contact() -> str: + return render_template("contact_us.jinja") + + +@routes_bp.get("/signup") +def sign_up() -> str: + return render_template("signup.jinja") + + +@routes_bp.get("/login") +def login() -> str: + return render_template("login.jinja") + + +@routes_bp.post("/logout") +@login_required +def logout() -> str: + logout_user() + flash("Logged out succesfully", "success") + return redirect(url_for("routes_bp.home")) + + +USER_TYPE_LABELS = { + "weight_loss": "Weight Loss", + "weight_gain": "Weight Gain", + "muscle_gain": "Muscle Gain", + "pregnant_mother": "Pregnant Mother", + "infant": "Infant", + "general_fitness": "General Fitness", +} + + +@routes_bp.get("/profile") +@login_required +def profile() -> str: + accounts_collection = db["accounts"] + users_collection = db["users"] + + username = current_user.username + + account = accounts_collection.find_one({"username": username}) + if not account: + flash("Account not found.", "error") + return redirect(url_for("routes_bp.login")) + + default_profile_id = account.get("default_profile_id") + if not default_profile_id: + flash("No default profile set.", "warning") + return redirect(url_for("routes_bp.login")) + + profile = users_collection.find_one({"_id": ObjectId(default_profile_id)}) + if not profile: + flash("Profile not found", "error") + return redirect(url_for("routes_bp.login")) + profile["user_type"] = USER_TYPE_LABELS.get(profile.get("user_type"), "Unkown") + + return render_template("profile.jinja", user=profile) + + +@routes_bp.get("/scan") +def scan() -> str: + return render_template("scan.jinja") + + +@routes_bp.get("/form") +def form() -> str: + return render_template("form.jinja") + + +@routes_bp.get("/aboutus") +def about_us() -> str: + return render_template("about_us.jinja") + + +@routes_bp.get("/doc") +def doc_consultation() -> str: + return render_template("doc_consul.jinja") + + +@routes_bp.post("/doc") +def submit_consult() -> str: + flash("Your request have successfully submitted", "success") + return redirect(url_for("routes_bp.doc_consultation")) + + +def register_routes(app: flask.Flask) -> None: + app.register_blueprint(routes_bp) diff --git a/server/static/images/freshFruits.png b/server/static/images/freshFruits.png new file mode 100644 index 0000000..66b1a79 Binary files /dev/null and b/server/static/images/freshFruits.png differ diff --git a/server/static/images/proteins.png b/server/static/images/proteins.png new file mode 100644 index 0000000..7de3883 Binary files /dev/null and b/server/static/images/proteins.png differ diff --git a/server/static/images/vegetables.png b/server/static/images/vegetables.png new file mode 100644 index 0000000..1836004 Binary files /dev/null and b/server/static/images/vegetables.png differ diff --git a/server/static/images/wholeGrains.png b/server/static/images/wholeGrains.png new file mode 100644 index 0000000..eef11eb Binary files /dev/null and b/server/static/images/wholeGrains.png differ diff --git a/server/templates/about_us.jinja b/server/templates/about_us.jinja new file mode 100644 index 0000000..0d6e2e0 --- /dev/null +++ b/server/templates/about_us.jinja @@ -0,0 +1,107 @@ +{# about_us.jinja - Fancy Version #} +{% extends "base.jinja" %} + +{% block title %} +About Us - Food-Stat +{% endblock title %} + +{% block content %} + +
+
+

Welcome to Food-Stat

+

+ Your Personal Food Intelligence App for Healthier Living. +

+ Food-Stat Hero + {# Replace with a relevant image #} +
+
+ +
+
+

Our Story and Mission

+
+
+

+ Food-Stat was born from a simple yet powerful idea: to empower individuals to make informed food choices. + In today's complex food environment, understanding what's truly in our packaged foods can be challenging. + We realized the need for a tool that goes beyond confusing labels and provides clear, personalized insights. +

+

+ Our mission is to be your trusted guide in navigating the world of food. We are committed to providing + you with unbiased, data-driven ratings and information, tailored to your unique health needs and goals. + We believe that with the right knowledge, everyone can eat smarter and live healthier. +

+
+
+ Our Mission + {# Replace with an image representing your mission #} +
+
+
+ +
+

How Food-Stat Works

+ +
+ +
+
+ +
+

Health Impact

+

+ We assess how a food product may affect your overall well-being, considering ingredients and potential health implications. +

+
+ + +
+
+ +
+

Ingredient Quality

+

+ We evaluate the quality of ingredients, focusing on processing levels, additives, and the presence of wholesome components. +

+
+ + +
+
+ +
+

Nutritional Content

+

+ We analyze the nutritional profile, including macronutrients, micronutrients, and key components to determine its nutritional value. +

+
+
+

+ Food-Stat provides custom ratings tailored to your unique profile, + considering your age, health conditions, and fitness goals, ensuring the information is relevant and actionable for you. +

+
+ +
+

Ready to Eat Smarter?

+

+ Join the Food-Stat community and start making healthier choices today! +

+ + Sign Up for Free + +
+ +
+

Have Questions?

+

+ Visit our Contact Us page to get in touch. +

+
+
+{% endblock content %} + +{% block scripts %} +{% endblock scripts %} \ No newline at end of file diff --git a/server/templates/base.jinja b/server/templates/base.jinja new file mode 100644 index 0000000..c0b66f6 --- /dev/null +++ b/server/templates/base.jinja @@ -0,0 +1,187 @@ + + + + + + + + {% block title %} + Food-Stat - Eat Smart, Live Healthy + {% endblock title %} + + + + + + + + +
+ + +
+ +
+ {% block content %} + {% endblock content %} +
+ + +
+
+
+
+

FoodStat

+

Empowering healthier choices through nutrition + intelligence.

+
+
+

Resources

+ +
+
+

Company

+
    +
  • About
  • {# Assuming /aboutus is correct for About link #} +
  • Consult Doctor
  • + {# --- Conflict Resolved Below --- #} +
  • Contact
  • + {# --- Conflict Resolved Above --- #} +
+
+
+

Legal

+ +
+
+
+

© 2024 FoodStat. All rights reserved.

+
+
+
+ + {# Custom Alert popup #} +
+ +
+ + + + + + + {% block scripts %} {% endblock scripts %} + + + \ No newline at end of file diff --git a/server/templates/category.jinja b/server/templates/category.jinja new file mode 100644 index 0000000..f43ac3e --- /dev/null +++ b/server/templates/category.jinja @@ -0,0 +1,151 @@ +{% extends "base.jinja" %} + +{% block content %} + +
+
+ + + + +
+
+ +
+
+ +
+ + +
+ {# Preserve selected categories #} + {% for cat in selected_categories %} + + {% endfor %} + + {# Preserve selected types (veg/nonveg) #} + {% for t in selected_types %} + + {% endfor %} + + {# Preserve personalized toggle #} + {% if personalized %} + + {% endif %} +
+ +

Featured Products

+ + {% if items %} +
+ {% for item in items %} +
+
+ {{ item.item_name }} +

{{ item.item_name }}

+

Category: {{ item.item_category }}

+

+ {% if item.veg %} + + Veg + {% else %} + + Non-Veg + {% endif %} +

+
+ {% if item.personalised_score %} +

+ Personalized Score: {{ item.personalised_score + }}/5 +

+ {% endif %} +

Ingredient Quality: {{ item.INGREDIENT_QUALITY_RATING + }}/5

+

Health Impact: {{ item.HEALTH_IMPACT_RATING }}/5

+

+ Nutrition Score: {{ item.NUTRITIONAL_CONTENT_RATING + }}/5 +

+
+
+ + View Details + +
+ {% endfor %} +
+ {% else %} +

No items match your filters.

+ {% endif %} +
+ +
+
+{% endblock content %} \ No newline at end of file diff --git a/server/templates/contact_us.jinja b/server/templates/contact_us.jinja new file mode 100644 index 0000000..a594ed7 --- /dev/null +++ b/server/templates/contact_us.jinja @@ -0,0 +1,71 @@ +{% extends "base.jinja" %} + +{% block content %} + +
+
+
+

+ Get in Touch +

+

+ We'd love to hear from you! For inquiries, feedback, or support, please reach out to us. +

+
+
+
+ + +
+
+

Send us a Message

+
+
+ +
+ +
+
+ +
+ +
+ +
+
+ +
+ +
+ +
+
+ +
+ +
+
+
+ + +
+

Contact Information

+

Email us at: support@foodstat.com

+

Phone: +91 91233 02445

+

Om vihar Phase 2 Sec23a, Gurugram, Haryana, India

+
+
+{% endblock content %} \ No newline at end of file diff --git a/server/templates/doc_consul.jinja b/server/templates/doc_consul.jinja new file mode 100644 index 0000000..7085c32 --- /dev/null +++ b/server/templates/doc_consul.jinja @@ -0,0 +1,141 @@ +{# doctor_consultation.jinja #} +{% extends "base.jinja" %} + +{% block title %} +Nutritionist Consultation - Food-Stat +{% endblock title %} + +{% block content %} + +
+
+

Consult with a Nutritionist

+

+ Get Personalized Nutrition Advice from Certified Experts. +

+ Nutritionist Consultation Hero +
+
+ +
+ +
+

Why Consult a Nutritionist?

+
+ +
+
+ +
+

Personalized Advice

+

+ Receive nutrition plans and recommendations tailored specifically to your health needs and goals. +

+
+ +
+
+ +
+

Expert Guidance

+

+ Get clarity on nutrition myths and facts from certified professionals, ensuring you get reliable information. +

+
+ +
{# Hide on medium screens and below #} +
+ +
+

Health Improvement

+

+ Address specific health concerns, manage conditions, and improve your overall well-being through diet. +

+
+
+
+ + +
+

Request a Consultation

+
+
{# Replace with your actual form submission route #} +
+ + +
+
+ + +
+
+ + +
+
+ + +
+
+ +
+
+
+
+ + +
+

How It Works

+
+ +
+
+ 1 +
+

Submit Request

+

+ Fill out the consultation request form with your details and nutritional needs. +

+
+ +
+
+ 2 +
+

Get Matched

+

+ We'll match you with a nutritionist best suited to address your specific requirements. +

+
+ +
+
+ 3 +
+

Consult & Achieve

+

+ Start your consultation, receive expert advice, and work towards your health goals. +

+
+
+
+ +
+

Ready to take the next step?

+

+ Request your personalized nutritionist consultation today! +

+ + Request Free Consultation + +
+
+{% endblock content %} + +{% block scripts %} +{% endblock scripts %} \ No newline at end of file diff --git a/server/templates/food_item.jinja b/server/templates/food_item.jinja new file mode 100644 index 0000000..fea069d --- /dev/null +++ b/server/templates/food_item.jinja @@ -0,0 +1,88 @@ +{% extends "base.jinja" %} + +{% block content %} + +
+
+ +
+ {% if food_item.image_url %} + {{ food_item.alt or 'Product Image' }} + {% else %} +
+ No image available +
+ {% endif %} +
+ + +
+

{{ food_item.title }}

+
+
+ Ingredient Quality: + {{ food_item.get("INGREDIENT_QUALITY_RATING", "N/A") }} + / 5 +
+
+ Health Impact: + {{ food_item.get("HEALTH_IMPACT_RATING", "N/A") }} + / 5 +
+
+ Nutrition Score: + {{ food_item.get("NUTRITIONAL_CONTENT_RATING", "N/A") }} + / 5 +
+
+ +
+

Nutrition Facts

+
+ {% set nutrition_labels = { + "energy": "Energy", + "protein": "Protein", + "carbohydrate": "Carbohydrate", + "total_fat": "Total Fat", + "total_sugars": "Total Sugars", + "added_sugars": "Added Sugars", + "saturated_fat": "Saturated Fat", + "trans_fat": "Trans Fat" + } %} + {% for key, label in nutrition_labels.items() %} +

{{ label }}: {{ food_item.get("nutrition", {}).get(key, "N/A") }}

+ {% endfor %} +
+
+ +
+

Ingredients

+
    + {% if food_item.ingredients and food_item.ingredients | length > 0 %} + {% for ingredient in food_item.ingredients %} +
  • {{ ingredient if ingredient else "Missing ingredients so, Loading..." }}
  • + {% endfor %} + {% else %} +
  • No ingredients available
  • + {% endif %} +
+
+ +
+

Allergy Information

+
    + {% if food_item.allergies and food_item.allergies | length > 0 %} + {% for allergy in food_item.allergies %} +
  • {{ allergy if allergy else "Missing allergies so, Loading..." }}
  • + {% endfor %} + {% else %} +
  • No allergy information available
  • + {% endif %} +
+
+
+
+
+{% endblock content %} \ No newline at end of file diff --git a/server/templates/form.jinja b/server/templates/form.jinja new file mode 100644 index 0000000..164f0fb --- /dev/null +++ b/server/templates/form.jinja @@ -0,0 +1,173 @@ +{% extends 'base.jinja' %} + +{% block title %}Analyze Product | FoodStat{% endblock title %} + +{% block content %} +
+ +
+

Analyze Food-Item

+ +
+ +
+ + + +
+ +
+ + + +
+ + +
+ + +
+ + +
+ + +
+ + +
+ + + +
+ +
+ + + +
+ + +
+ {% set nutrition_fields = ['energy', 'protein', 'carbohydrate', 'total_fat', 'total_sugars', 'added_sugars', 'saturated_fat', 'trans_fat'] %} + {% for field in nutrition_fields %} +
+ + +
+ {% endfor %} +
+ + +
+ + +
+ + +
+
+ + + +
+{% endblock content %} + +{% block scripts %} + + + +{% endblock scripts %} diff --git a/server/templates/home.jinja b/server/templates/home.jinja new file mode 100644 index 0000000..959c2be --- /dev/null +++ b/server/templates/home.jinja @@ -0,0 +1,84 @@ +{% extends 'base.jinja' %} + +{% block content %} + +
+
+
+

+ Nourish Your Body, + Energize Your Life +

+

+ Track your nutrition, discover healthy choices, and achieve your wellness goals. +

+
+ + Get Started + + +
+
+
+
+ + +
+
+

+ Explore Nutritional Categories +

+ +
+ {% for category in categories%} + + {% endfor %} +
+
+
+ + +
+
+

Start Your Health Journey Today

+

Join thousands of users achieving their + nutrition goals with FoodStat +

+
+ + Create Free Account + + +
+
+
+{% endblock content %} \ No newline at end of file diff --git a/server/templates/login.jinja b/server/templates/login.jinja new file mode 100644 index 0000000..cb5e5dc --- /dev/null +++ b/server/templates/login.jinja @@ -0,0 +1,62 @@ +{% extends 'base.jinja' %} + +{% block title %} +Login to FoodStat +{% endblock title %} + +{% block content %} + +
+
+
+

+ Welcome Back to FoodStat +

+

+ Login to access your profile and personalized nutrition insights. +

+
+
+
+ + +
+
+

Login to Your Account

+
+
+ +
+ +
+
+ +
+ +
+ +
+
+ +
+ +
+
+ +
+

+ Don't have an account? Sign up +

+
+
+
+{% endblock content %} \ No newline at end of file diff --git a/server/templates/modal.jinja b/server/templates/modal.jinja new file mode 100644 index 0000000..c8b6e8a --- /dev/null +++ b/server/templates/modal.jinja @@ -0,0 +1,223 @@ +{# #} + + \ No newline at end of file diff --git a/server/templates/profile.jinja b/server/templates/profile.jinja new file mode 100644 index 0000000..d34886e --- /dev/null +++ b/server/templates/profile.jinja @@ -0,0 +1,124 @@ +{% extends 'base.jinja' %} + +{% block title %} +Your Profile +{% endblock title %} + +{% block content %} + +
+
+
+ {# TODO: change img url to user image #} + {# User Avatar + #} + + +
+

+ Welcome, {{ user.profile_name }} +

+

+ Explore your personalized food profile and manage your health preferences. Let's make healthy eating easier! +

+
+
+ + +
+ {# TODO: Link edit profile button to edit profile route #} + + Edit Profile + +
+ +
+
+ + +
+
+
+

Your Profile Information

+
+ {% set profile_fields_left = [ + ('fa-user-tag', 'Profile Name', 'profile_name', user.profile_name), + ('fa-user', 'First Name', 'first_name', user.first_name), + ('fa-user-group', 'Last Name', 'last_name', user.last_name), + ('fa-venus-mars', 'Gender', 'gender', user.gender), + ('fa-weight-scale', 'Weight', 'weight', user.weight ~ ' kg' if user.weight is not none else 'N/A') + ] %} + + {% set profile_fields_right = [ + ('fa-ruler-vertical', 'Height', 'height', user.height ~ ' cm' if user.height is not none else 'N/A'), + ('fa-calendar-alt', 'Age', 'age', user.age ~ ' years' if user.age is not none else 'N/A'), + ('fa-users', 'User Type', 'user_type', user.user_type), + ('fa-utensils', 'Diet Type', 'diet_type', user.diet_type) + ] %} + +
+ {% for icon, label, element_id, value in profile_fields_left %} +
+ + {{ label }}: + {{ value or 'N/A' }} +
+ {% endfor %} +
+ +
+ {% for icon, label, element_id, value in profile_fields_right %} +
+ + {{ label }}: + {{ value or 'N/A' }} +
+ {% endfor %} +
+
+ + +
+
+

+ Allergies +

+
    + {% if user.allergy_info %} + {% for allergy in user.allergy_info %} +
  • {{ allergy }}
  • + {% endfor %} + {% else %} +
  • None
  • + {% endif %} +
+
+ +
+

+ Diseases +

+
    + {% if user.diseases %} + {% for disease in user.diseases %} +
  • {{ disease }}
  • + {% endfor %} + {% else %} +
  • None
  • + {% endif %} +
+
+
+
+
+
+ + + +{% endblock content %} \ No newline at end of file diff --git a/server/templates/scan.jinja b/server/templates/scan.jinja new file mode 100644 index 0000000..9720e99 --- /dev/null +++ b/server/templates/scan.jinja @@ -0,0 +1,226 @@ +{% extends "base.jinja" %} + +{% block content %} +
+

📦 Document Scanner

+ +
+ +
+
+ +
+

Live video stream

+ +
+ + +
+ +
+

🖼️ Captured Snapshot

+ +
+ + +
+ + + +
+ + +
+

🔎 Barcode Info

+
No barcode analyzed yet.
+
+
+
+
+{% endblock %} + +{% block scripts %} + +{% endblock %} diff --git a/server/templates/signup.jinja b/server/templates/signup.jinja new file mode 100644 index 0000000..e2db509 --- /dev/null +++ b/server/templates/signup.jinja @@ -0,0 +1,173 @@ +{% extends 'base.jinja' %} + +{% block title %} +Sing Up to FoodStat +{% endblock title %} + +{% block content %} + +
+
+
+

+ Join FoodStat Today +

+

+ Create your account and start your journey to healthier eating. +

+
+
+
+ + +
+
+

Create a New Account

+
+ + +
+
+ + +
+
+ + +
+
+ + +
+ + +
+ + +
+ + +
+ +
+ +
+ + +
+ + +
+ + +
+
+ + +
+ + + {#

Age should be between 0 and 120.

#} +
+ + +
+ + +
+ + +
+ + +
+ + +
+ + +
+ + +
+ +
+ +
+
+ + +
+ +
+ +
+
+ + +
+ +
+ +
+
+ + +
+ +
+
+ +
+

+ Already have an account? Log in +

+
+
+
+ +{% endblock content %} \ No newline at end of file diff --git a/server/uv.lock b/server/uv.lock new file mode 100644 index 0000000..37d4d00 --- /dev/null +++ b/server/uv.lock @@ -0,0 +1,1013 @@ +version = 1 +revision = 1 +requires-python = ">=3.12" +resolution-markers = [ + "python_full_version >= '3.13' and sys_platform == 'darwin'", + "python_full_version >= '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "(python_full_version >= '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version >= '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')", + "python_full_version < '3.13' and sys_platform == 'darwin'", + "python_full_version < '3.13' and platform_machine == 'aarch64' and sys_platform == 'linux'", + "(python_full_version < '3.13' and platform_machine != 'aarch64' and sys_platform == 'linux') or (python_full_version < '3.13' and sys_platform != 'darwin' and sys_platform != 'linux')", +] + +[[package]] +name = "annotated-types" +version = "0.7.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 } +wheels = [ + { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 }, +] + +[[package]] +name = "blinker" +version = "1.9.0" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/21/28/9b3f50ce0e048515135495f198351908d99540d69bfdc8c1d15b73dc55ce/blinker-1.9.0.tar.gz", hash = "sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf", size = 22460 } +wheels = [ + { url = 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