diff --git a/client/.gitignore b/client/.gitignore new file mode 100644 index 0000000..a547bf3 --- /dev/null +++ b/client/.gitignore @@ -0,0 +1,24 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +dist +dist-ssr +*.local + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +.DS_Store +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/client/README.md b/client/README.md new file mode 100644 index 0000000..963909f --- /dev/null +++ b/client/README.md @@ -0,0 +1,16 @@ +# React + Vite + +This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules. + +Currently, two official plugins are available: + +- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Babel](https://babeljs.io/) (or [oxc](https://oxc.rs) when used in [rolldown-vite](https://vite.dev/guide/rolldown)) for Fast Refresh +- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/) for Fast Refresh + +## React Compiler + +The React Compiler is currently not compatible with SWC. See [this issue](https://github.com/vitejs/vite-plugin-react/issues/428) for tracking the progress. + +## Expanding the ESLint configuration + +If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project. diff --git a/client/eslint.config.js b/client/eslint.config.js new file mode 100644 index 0000000..cee1e2c --- /dev/null +++ b/client/eslint.config.js @@ -0,0 +1,29 @@ +import js from '@eslint/js' +import globals from 'globals' +import reactHooks from 'eslint-plugin-react-hooks' +import reactRefresh from 'eslint-plugin-react-refresh' +import { defineConfig, globalIgnores } from 'eslint/config' + +export default defineConfig([ + globalIgnores(['dist']), + { + files: ['**/*.{js,jsx}'], + extends: [ + js.configs.recommended, + reactHooks.configs['recommended-latest'], + reactRefresh.configs.vite, + ], + languageOptions: { + ecmaVersion: 2020, + globals: globals.browser, + parserOptions: { + ecmaVersion: 'latest', + ecmaFeatures: { jsx: true }, + sourceType: 'module', + }, + }, + rules: { + 'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }], + }, + }, +]) diff --git a/client/index.html b/client/index.html new file mode 100644 index 0000000..f07b3d0 --- /dev/null +++ b/client/index.html @@ -0,0 +1,13 @@ + + + + + + + client + + +
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build", + "build:products": "VITE_APP_MODE=products vite build", + "build:image": "VITE_APP_MODE=image vite build", + "lint": "eslint .", + "preview": "vite preview" + }, + "dependencies": { + "@tailwindcss/vite": "^4.1.15", + "react": "^19.1.1", + "react-dom": "^19.1.1", + "tailwindcss": "^4.1.15" + }, + "devDependencies": { + "@eslint/js": "^9.36.0", + "@types/react": "^19.1.16", + "@types/react-dom": "^19.1.9", + "@vitejs/plugin-react-swc": "^4.1.0", + "eslint": "^9.36.0", + "eslint-plugin-react-hooks": "^5.2.0", + "eslint-plugin-react-refresh": "^0.4.22", + "globals": "^16.4.0", + "vite": "^7.1.7" + } +} diff --git a/client/public/amazonicon.png b/client/public/amazonicon.png new file mode 100644 index 0000000..4b44f27 Binary files /dev/null and b/client/public/amazonicon.png differ diff --git a/client/public/bestbuylogo.png b/client/public/bestbuylogo.png new file mode 100644 index 0000000..8967ed5 Binary files /dev/null and b/client/public/bestbuylogo.png differ diff --git a/client/public/dellelcelogo.jpeg b/client/public/dellelcelogo.jpeg new file mode 100644 index 0000000..bc80a7d Binary files /dev/null and b/client/public/dellelcelogo.jpeg differ diff --git a/client/public/homedepotlogo.webp b/client/public/homedepotlogo.webp new file mode 100644 index 0000000..70cbd71 Binary files /dev/null and b/client/public/homedepotlogo.webp differ diff --git a/client/public/stapleslogo.png b/client/public/stapleslogo.png new file mode 100644 index 0000000..c16ab47 Binary files /dev/null and b/client/public/stapleslogo.png differ diff --git a/client/public/vite.svg b/client/public/vite.svg new file mode 100644 index 0000000..e7b8dfb --- /dev/null +++ b/client/public/vite.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/client/src/App.jsx b/client/src/App.jsx new file mode 100644 index 0000000..13fecd9 --- /dev/null +++ b/client/src/App.jsx @@ -0,0 +1,21 @@ +import Text from "./components/Text" +import Products from "./components/Products" +import Image from "./components/Image" + +function App() { + const mode = import.meta.env.VITE_APP_MODE || 'image'; + + if (mode === "text") return + if (mode === "products") return + if (mode === "image") return + + return ( + <> + + + + + ) +} + +export default App diff --git a/client/src/assets/react.svg b/client/src/assets/react.svg new file mode 100644 index 0000000..6c87de9 --- /dev/null +++ b/client/src/assets/react.svg @@ -0,0 +1 @@ + \ No newline at end of file diff --git a/client/src/components/Image.jsx b/client/src/components/Image.jsx new file mode 100644 index 0000000..4063761 --- /dev/null +++ b/client/src/components/Image.jsx @@ -0,0 +1,19 @@ +import { useState } from 'react'; +import MessageBox from './ui/MessageBox'; +import InputForm from './ui/InputForm'; + +import ChatContainer from './ui/ChatContainer'; + +export default function Image() { + const [messages, setMessages] = useState([]); + const [isLoading, setIsLoading] = useState(false); + + return ( +
+ + + + +
+ ); +} diff --git a/client/src/components/Products.jsx b/client/src/components/Products.jsx new file mode 100644 index 0000000..de53651 --- /dev/null +++ b/client/src/components/Products.jsx @@ -0,0 +1,17 @@ +import { useState } from 'react'; +import SearchForm from './ui/SearchForm'; +import ProductResults from './ui/ProductResults'; + +export default function Products() { + const [products, setProducts] = useState({}); + const [isLoading, setIsLoading] = useState(false); + + return ( +
+
+ + +
+
+ ); +} \ No newline at end of file diff --git a/client/src/components/Text.jsx b/client/src/components/Text.jsx new file mode 100644 index 0000000..9da95cb --- /dev/null +++ b/client/src/components/Text.jsx @@ -0,0 +1,19 @@ +import { useState } from 'react'; +import MessageBox from './ui/MessageBox'; +import InputForm from './ui/InputForm'; + +import ChatContainer from './ui/ChatContainer'; + +export default function Text() { + const [messages, setMessages] = useState([]); + const [isLoading, setIsLoading] = useState(false); + + return ( +
+ + + + +
+ ); +} diff --git a/client/src/components/ui/ChatContainer.jsx b/client/src/components/ui/ChatContainer.jsx new file mode 100644 index 0000000..278be66 --- /dev/null +++ b/client/src/components/ui/ChatContainer.jsx @@ -0,0 +1,13 @@ + + +export default function ChatContainer({ header, children }) { + return ( +
+
+

{header}

+
+ + {children} +
+ ) +} \ No newline at end of file diff --git a/client/src/components/ui/InputForm.jsx b/client/src/components/ui/InputForm.jsx new file mode 100644 index 0000000..fa2d5f1 --- /dev/null +++ b/client/src/components/ui/InputForm.jsx @@ -0,0 +1,100 @@ +import { useState } from 'react'; + +import { NLIPClient } from '../../utils/nlip'; + +export default function InputForm({ setMessages, isLoading, setIsLoading, allowFileUpload = false }) { + const [input, setInput] = useState(''); + const [selectedFile, setSelectedFile] = useState(null); + const nlipClient = new NLIPClient(); + + const handleFileChange = (e) => { + const file = e.target.files?.[0]; + if (file) { + setSelectedFile(file); + } + }; + + const sendMessage = async (e) => { + e.preventDefault(); + if (!input.trim()) return; + + const userMessage = input.trim(); + setInput(''); + + // Add user message to chat with image data if present + const messageData = { + role: 'user', + content: userMessage, + image: selectedFile ? URL.createObjectURL(selectedFile) : null, + fileName: selectedFile?.name + }; + setMessages(prev => [...prev, messageData]); + setIsLoading(true); + + try { + let data; + if (allowFileUpload && selectedFile) { + data = await nlipClient.sendWithImage(userMessage, selectedFile); + data = data.content; + setSelectedFile(null); + } else { + data = await nlipClient.sendMessage(userMessage); + } + const botMessage = data || 'No response'; + + // Add bot response to chat + setMessages(prev => [...prev, { role: 'assistant', content: botMessage }]); + } catch (error) { + console.error('Error sending message:', error); + setMessages(prev => [...prev, { + role: 'assistant', + content: 'Error connecting to chat server.' + }]); + } finally { + setIsLoading(false); + } + }; + return ( +
+
+ {allowFileUpload && ( + <> + + + + )} + setInput(e.target.value)} + placeholder="Type your message..." + className="flex-1 px-4 py-3 border border-gray-300 rounded-xl focus:outline-none focus:ring-2 focus:ring-cyan-500 focus:border-transparent disabled:bg-gray-100 disabled:cursor-not-allowed" + disabled={isLoading} + /> + +
+
+ ) +} \ No newline at end of file diff --git a/client/src/components/ui/MessageBox.jsx b/client/src/components/ui/MessageBox.jsx new file mode 100644 index 0000000..70cc95d --- /dev/null +++ b/client/src/components/ui/MessageBox.jsx @@ -0,0 +1,50 @@ +export default function ChatBox({messages, isLoading}) { + const renderMessageBubbles = () => { + return ( +
+
+
+
+
+
+
+
+
+ ) + } + + return ( +
+ {messages.length === 0 && ( +
+

Start a conversation!

+
+ )} + {messages.map((msg, index) => ( +
+
+ {msg.image && ( +
+ {msg.fileName +
+ )} +
+

{msg.content}

+
+
+
+ ))} + {isLoading && ( + renderMessageBubbles() + )} +
+ ) +} \ No newline at end of file diff --git a/client/src/components/ui/ProductResults.jsx b/client/src/components/ui/ProductResults.jsx new file mode 100644 index 0000000..44768df --- /dev/null +++ b/client/src/components/ui/ProductResults.jsx @@ -0,0 +1,102 @@ +export default function ProductResults({products, isLoading}) { + const getStoreLogo = (storeName) => { + switch (storeName) { + case 'Amazon Canada': + return '/static/amazonicon.png'; + case 'Best Buy Canada': + return '/static/bestbuylogo.png'; + case 'Staples Canada': + return '/static/stapleslogo.png'; + case 'Home Depot Canada': + return '/static/homedepotlogo.webp'; + case 'Dellelce Bookstore UWO': + return '/static/dellelcelogo.jpeg'; + default: + return null; + } + } + + const getStoreResults = () => { + const storeStats = {}; + (products?.results ?? []).forEach(product => { + if (product.store) { + if (!storeStats[product.store]) { + storeStats[product.store] = { + count: 0, + minPrice: Number(product.price), + maxPrice: Number(product.price), + totalPrice: 0 + }; + } + storeStats[product.store].count += 1; + storeStats[product.store].totalPrice += Number(product.price); + storeStats[product.store].minPrice = Math.min(storeStats[product.store].minPrice, Number(product.price)); + storeStats[product.store].maxPrice = Math.max(storeStats[product.store].maxPrice, Number(product.price)); + } + }); + return storeStats; + } + + const storeStats = getStoreResults(); + return ( + <> + {(products?.results?.length ?? 0) > 0 && ( +
+ {/* Store stats summary */} +
+

Store Summary

+
+ {Object.entries(storeStats).map(([store, stats]) => ( +
+ {store} +
+
{store}
+
Products: {stats.count}
+
Min: ${stats.minPrice.toFixed(2)} | Max: ${stats.maxPrice.toFixed(2)}
+
Avg: ${(stats.totalPrice / stats.count).toFixed(2)}
+
+
+ ))} +
+
+
+
+ {(products?.results ?? []).map((product, index) => { + return ( + +
+ {product.store && ( + + {product.store} + + )} + + {product.name} + +

+ {product.name} +

+ +

+ ${product.price} +

+
+ + ); + })} +
+
+
+ )} + {(products?.results?.length ?? 0) === 0 && !isLoading && ( +
+

Search for products to see results

+
+ )} + + ) +} \ No newline at end of file diff --git a/client/src/components/ui/SearchForm.jsx b/client/src/components/ui/SearchForm.jsx new file mode 100644 index 0000000..7b24172 --- /dev/null +++ b/client/src/components/ui/SearchForm.jsx @@ -0,0 +1,48 @@ +import { useState } from "react"; +import { NLIPClient } from "../../utils/nlip"; + +export default function SearchForm({ setProducts, isLoading, setIsLoading}) { + const [query, setQuery] = useState(''); + const nlipClient = new NLIPClient(); + + const handleSearch = async (e) => { + e.preventDefault(); + if (!query.trim()) return; + + setIsLoading(true); + try { + const response = await nlipClient.sendMessage(query.trim(), true) + if (response && response.results.length > 0) { + response.results = response.results.filter(product => !Number.isNaN(Number(product.price))); + response.results.sort((a,b) => Number(a.price) - Number(b.price)) + setProducts(response); + } + } catch (error) { + console.error('Error fetching products:', error); + } finally { + setIsLoading(false); + } + }; + + return ( +
+

Product Search

+
+ setQuery(e.target.value)} + placeholder="Search for products..." + className="flex-1 px-4 py-2 border border-gray-300 rounded-lg focus:outline-none focus:ring-2 focus:ring-cyan-500" + /> + +
+
+ ) +} \ No newline at end of file diff --git a/client/src/index.css b/client/src/index.css new file mode 100644 index 0000000..20f080a --- /dev/null +++ b/client/src/index.css @@ -0,0 +1 @@ +@import 'tailwindcss' \ No newline at end of file diff --git a/client/src/main.jsx b/client/src/main.jsx new file mode 100644 index 0000000..b9a1a6d --- /dev/null +++ b/client/src/main.jsx @@ -0,0 +1,10 @@ +import { StrictMode } from 'react' +import { createRoot } from 'react-dom/client' +import './index.css' +import App from './App.jsx' + +createRoot(document.getElementById('root')).render( + + + , +) diff --git a/client/src/utils/module_test.js b/client/src/utils/module_test.js new file mode 100644 index 0000000..7d7e409 --- /dev/null +++ b/client/src/utils/module_test.js @@ -0,0 +1,22 @@ +//const { spawn } = require('node:child_process'); +/* +import { spawn } from 'node:child_process' + +export async function runModule(search_term) { + const path = "../../website_modules/dellelce_bookstore_module.py" + + const program = spawn('python', [path, search_term]) + + let data = '' + + program.stdout.on('data', (stdout) => { + data += stdout.toString() + }) + + // When script is finished, print collected data + program.on('close', (code) => { + console.log(`child process exited with code ${code}`); + console.log(data); + }); +} +*/ \ No newline at end of file diff --git a/client/src/utils/nlip.js b/client/src/utils/nlip.js new file mode 100644 index 0000000..6294af0 --- /dev/null +++ b/client/src/utils/nlip.js @@ -0,0 +1,448 @@ +function nlipCompareString(value1, value2, matchNone = false) { + if (value1 != null && value2 != null) { + return value1.toLowerCase() === value2.toLowerCase(); + } + if (matchNone) { + return true; + } else { + return value1 == null && value2 == null; + } +} + +const AllowedFormats = { + text: "text", + token: "token", + structured: "structured", + binary: "binary", + location: "location", + error: "error", + generic: "generic" +}; + +// Usage example: +// const format = CaseInsensitiveEnum.fromValue(AllowedFormats, "ToKeN"); // returns "token" + +class CaseInsensitiveEnum { + constructor(enumObj) { + this.enumObj = enumObj; + this.values = Object.values(enumObj); + } + + static fromValue(enumObj, value) { + if (typeof value !== 'string') return null; + const lowerValue = value.toLowerCase(); + for (const key in enumObj) { + if (enumObj[key].toLowerCase() === lowerValue) { + return enumObj[key]; + } + } + return null; + } +} + +const ReservedTokens = { + auth: 'authorization', + conv: 'conversation', + control: 'control', + + isReserved(field) { + if (typeof field !== 'string') return false; + const lower = field.toLowerCase(); + return lower.startsWith(this.auth) || lower.startsWith(this.conv); + }, + + isAuth(field) { + return typeof field === 'string' && field.toLowerCase().startsWith(this.auth); + }, + + isConv(field) { + return typeof field === 'string' && field.toLowerCase().startsWith(this.conv); + }, + + isControl(field) { + return nlipCompareString(this.control, field); + }, + + getSuffix(field, separator = '') { + if (this.isAuth(field)) { + return field.slice(this.auth.length + separator.length).trim(); + } else if (this.isConv(field)) { + return field.slice(this.conv.length + separator.length).trim(); + } else { + return field; + } + } +}; + +class NLIPSubMessage { + /** + * @param {string} format - One of the AllowedFormats + * @param {string} subformat + * @param {string|Object} content + * @param {string|null} label + */ + constructor(format, subformat, content, label = null) { + this.format = format; + this.subformat = subformat; + this.content = content; + this.label = label; + } + + updateContent(content) { + this.content = content; + } + + extractField(format, subformat = null, label = null) { + if (nlipCompareString(this.format, format)) { + if (nlipCompareString(this.subformat, subformat, true)) { + if (nlipCompareString(this.label, label, true)) { + return this.content; + } + } + } + return null; + } +} + + +class NLIPMessage { + constructor({ messagetype = null, format, subformat, content, label = null, submessages = [] }) { + this.messagetype = messagetype; + this.format = format; + this.subformat = subformat; + this.content = content; + this.label = label; + this.submessages = submessages; + } + + isControlMsg() { + return this.messagetype !== null && ReservedTokens.isControl(this.messagetype); + } + + addSubmessage(submsg) { + if (!Array.isArray(this.submessages)) { + this.submessages = []; + } + this.submessages.push(submsg); + } + + addConversationToken(conversationToken, forceChange = false, label = null) { + const existingToken = this.extractConversationToken(label); + const submsg = new NLIPSubMessage(AllowedFormats.token, ReservedTokens.conv, conversationToken, label); + + if (existingToken === null) { + this.addSubmessage(submsg); + } else if (forceChange) { + this.submessages.forEach((msg, i) => { + if (ReservedTokens.isConv(msg.subformat)) { + this.submessages[i].updateContent(conversationToken); + } + }); + } + } + + addAuthenticationToken(token, label = null) { + const existingToken = this.extractAuthenticationToken(label); + if (existingToken === null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.token, ReservedTokens.auth, token, label)); + } + } + + extractField(format, subformat = null, label = null) { + if ( + nlipCompareString(this.format, format) && + nlipCompareString(this.subformat, subformat, true) && + nlipCompareString(this.label, label, true) + ) { + return this.content; + } + return null; + } + + extractFieldList(format, subformat = null, label = null) { + const field = this.extractField(format, subformat, label); + let fieldList = field === null ? [] : [field]; + + if (Array.isArray(this.submessages)) { + this.submessages.forEach(submsg => { + const value = submsg.extractField(format, subformat, label); + if (value !== null) { + fieldList.push(value); + } + }); + } + + return fieldList; + } + + extractText(language = 'english', separator = ' ') { + const textList = this.extractFieldList(AllowedFormats.text, language); + return textList.length > 0 ? textList.join(separator) : null; + } + + findLabeledSubmessage(label) { + if (label === null) return null; + return this.submessages.find(submsg => nlipCompareString(submsg.label, label)) || null; + } + + extractToken(tokenType, label = null) { + const tokens = this.extractFieldList(AllowedFormats.token, tokenType, label); + return tokens.length > 0 ? tokens[0] : null; + } + + extractConversationToken(label = null) { + return this.extractToken(ReservedTokens.conv, label); + } + + extractAuthenticationToken(label = null) { + return this.extractToken(ReservedTokens.auth, label); + } + + extractJson(label = null) { + const jsonContent = this.extractField(AllowedFormats.structured, 'JSON', label); + if (jsonContent !== null) { + return jsonContent; + } + + // Check submessages + if (Array.isArray(this.submessages)) { + for (const submsg of this.submessages) { + const content = submsg.extractField(AllowedFormats.structured, 'JSON', label); + if (content !== null) { + return content; + } + } + } + + return null; + } + + toJSON() { + const obj = { + messagetype: this.messagetype, + format: this.format, + subformat: this.subformat, + content: this.content, + label: this.label, + submessages: this.submessages.length > 0 ? this.submessages : undefined + }; + return JSON.stringify(obj, (_, v) => (v === null ? undefined : v)); + } + + toDict() { + return JSON.parse(this.toJSON()); + } + + addText(content, language = 'english', label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.text, language, content, label)); + } + + addToken(token, tokenType, label = null) { + if (ReservedTokens.isAuth(tokenType)) { + return this.addAuthenticationToken(token, label); + } + if (ReservedTokens.isConv(tokenType)) { + return this.addConversationToken(token, true, label); + } + this.addSubmessage(new NLIPSubMessage(AllowedFormats.token, tokenType, token, label)); + } + + addJson(jsonDict, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.structured, "JSON", jsonDict, label)); + } + + addStructuredText(content, contentType, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.structured, contentType, content, label)); + } + + addBinary(content, binaryType, encoding, label = null) { + const subformat = `${binaryType}/${encoding}`; + this.addSubmessage(new NLIPSubMessage(AllowedFormats.binary, subformat, content, label)); + } + + addImage(content, encoding, label = null) { + this.addBinary(content, "image", encoding, label); + } + + addAudio(content, encoding, label = null) { + this.addBinary(content, "audio", encoding, label); + } + + addVideo(content, encoding, label = null) { + this.addBinary(content, "video", encoding, label); + } + + addLocationText(location, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.location, "text", location, label)); + } + + addLocationGps(location, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.location, "gps", location, label)); + } + + addErrorCode(errorCode, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.error, "code", errorCode, label)); + } + + addErrorText(errorDescr, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.error, "text", errorDescr, label)); + } + + addGeneric(content, subformat, label = null) { + this.addSubmessage(new NLIPSubMessage(AllowedFormats.generic, subformat, content, label)); + } +} + + +class NLIPFactory { + static createText(content, language = 'english', messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.text, subformat: language, content, label }); + } + + static createControl(content, language = 'english', label = null) { + return new NLIPMessage({ messagetype: ReservedTokens.control, format: AllowedFormats.text, subformat: language, content, label }); + } + + static createToken(token, tokenType, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.token, subformat: tokenType, content: token, label }); + } + + static createJson(jsonDict, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.structured, subformat: "JSON", content: jsonDict, label }); + } + + static createStructured(content, contentType, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.structured, subformat: contentType, content, label }); + } + + static createBinary(content, binaryType, encoding, messagetype = null, label = null) { + const subformat = `${binaryType}/${encoding}`; + return new NLIPMessage({ messagetype, format: AllowedFormats.binary, subformat, content, label }); + } + + static createImage(content, encoding, messagetype = null, label = null) { + return this.createBinary(content, "image", encoding, messagetype, label); + } + + static createAudio(content, encoding, messagetype = null, label = null) { + return this.createBinary(content, "audio", encoding, messagetype, label); + } + + static createVideo(content, encoding, messagetype = null, label = null) { + return this.createBinary(content, "video", encoding, messagetype, label); + } + + static createLocationText(location, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.location, subformat: "text", content: location, label }); + } + + static createLocationGps(location, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.location, subformat: "gps", content: location, label }); + } + + static createErrorCode(errorCode, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.error, subformat: "code", content: errorCode, label }); + } + + static createErrorText(errorDescr, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.error, subformat: "text", content: errorDescr, label }); + } + + static createGeneric(content, subformat, messagetype = null, label = null) { + return new NLIPMessage({ messagetype, format: AllowedFormats.generic, subformat, content, label }); + } + + static createSubMessageFromJSON(jsonObject) { + return new NLIPSubMessage(jsonObject.format, jsonObject.subformat, jsonObject.content, jsonObject.label) + } + + static createMessageFromJSON(jsonObject) { + let submessages = null + if (jsonObject.submessages != null) { + submessages = jsonObject.submessages.map(sm => new NLIPSubMessage(sm.format, sm.subformat, sm.content, sm.label)) + } + + return new NLIPMessage({messagetype: jsonObject.messagetype, + format: jsonObject.format, subformat: jsonObject.subformat, content: jsonObject.content, + label: jsonObject.label, submessages: submessages}) + } +} + +class NLIPClient { + constructor(baseUrl = '', options = {}) { + this.baseUrl = baseUrl; + this.options = { timeout: 60000, ...options }; + this.correlator = null + } + + async sendMessage(text, jsonResponse = false) { + const message = NLIPFactory.createText(text); + if (this.correlator != null) { + message.addConversationToken(this.correlator) + } + const response = await this.send(message); + const nlipMessage = NLIPFactory.createMessageFromJSON(response) + this.correlator = nlipMessage.extractToken(ReservedTokens.conv) + + if (jsonResponse) { + const jsonData = nlipMessage.extractJson(); + return jsonData; + } + const extractedText = nlipMessage.extractText() + return extractedText + } + + async sendWithImage(text, imageFile) { + const base64 = await this.fileToBase64(imageFile); + const message = NLIPFactory.createText(text); + message.addImage(base64, this.getFileExtension(imageFile)); + return this.send(message); + } + + async uploadFile(file) { + const formData = new FormData(); + formData.append('contents', file); + + const response = await fetch(`${this.baseUrl}/nlip/upload/`, { + method: 'POST', + body: formData + }); + + if (!response.ok) throw new Error('Upload failed'); + return response.json(); + } + + async send(nlipMessage) { + const response = await fetch(`${this.baseUrl}/nlip/`, { + method: 'POST', + headers: { 'Content-Type': 'application/json' }, + body: nlipMessage.toJSON(), + signal: AbortSignal.timeout(this.options.timeout) + }); + + if (!response.ok) throw new Error(`HTTP ${response.status}`); + return response.json(); + } + + async fetchTestData() { + const response = await fetch(`${this.baseUrl}/nlip/`); + const json = await response.json(); + console.log(json); + } + + // Utility methods + async fileToBase64(file) { + return new Promise((resolve, reject) => { + const reader = new FileReader(); + reader.onload = () => resolve(reader.result.split(',')[1]); + reader.onerror = reject; + reader.readAsDataURL(file); + }); + } + + getFileExtension(file) { + return file.name.split('.').pop() || 'bin'; + } +} + +export { NLIPMessage, NLIPFactory, NLIPClient, AllowedFormats, ReservedTokens, nlipCompareString, CaseInsensitiveEnum }; diff --git a/client/vite.config.js b/client/vite.config.js new file mode 100644 index 0000000..8edc8c8 --- /dev/null +++ b/client/vite.config.js @@ -0,0 +1,17 @@ +import { defineConfig } from 'vite' +import react from '@vitejs/plugin-react-swc' +import tailwindcss from '@tailwindcss/vite' + +// https://vite.dev/config/ +export default defineConfig({ + plugins: [react(), tailwindcss()], + server: { + proxy: { + // Proxy API calls to the FastAPI backend during development + '/nlip': { + target: 'http://localhost:8030', + changeOrigin: true, + }, + }, + }, +}) diff --git a/finalAmzSoup.html b/finalAmzSoup.html new file mode 100644 index 0000000..f05b5d8 --- /dev/null +++ b/finalAmzSoup.html @@ -0,0 +1,3841 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +Amazon.ca : laptop charger macbook + + + + + + + + + + + + + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + diff --git a/nlip_web/nlip_ext.py b/nlip_web/nlip_ext.py index 54587bc..06ff735 100644 --- a/nlip_web/nlip_ext.py +++ b/nlip_web/nlip_ext.py @@ -139,6 +139,13 @@ def __init__(self, indexFile="index.html", pathname = "/static", static_dir="sta def setup_webserver(self, thisapp:server.NLIP_Application, port, host="localhost") -> FastAPI: app = server.setup_server(thisapp) + + # Mount the assets folder if it exists (for Vite builds) + assets_dir = os.path.join(self.static_dir, "assets") + if os.path.exists(assets_dir) and os.path.isdir(assets_dir): + app.mount("/assets", StaticFiles(directory=assets_dir), name="assets") + + # Mount the main static directory app.mount(self.pathname, StaticFiles(directory=self.static_dir)) @app.get("/", response_class=HTMLResponse) diff --git a/nlip_web/vite_chat.py b/nlip_web/vite_chat.py new file mode 100644 index 0000000..9277f4d --- /dev/null +++ b/nlip_web/vite_chat.py @@ -0,0 +1,94 @@ +from nlip_web.genai import StatefulGenAI +from nlip_web import nlip_ext as nlip_ext +from nlip_web.env import read_digits, read_string +from nlip_server import server +from nlip_sdk import nlip + +from website_modules import main_module as mm +import re + +class ChatApplication(nlip_ext.SafeStatefulApplication): + def __init__(self): + super().__init__() + self.local_port = read_digits("LOCAL_PORT",8030) + self.model = read_string("CHAT_MODEL", "llava") + self.host = read_string("CHAT_HOST", "localhost") + self.port = read_digits("CHAT_PORT", 11434) + + + def create_stateful_session(self) -> server.NLIP_Session: + genAI = StatefulGenAI(self.host, self.port,self.model) + session = ChatSession() + session.set_correlator() + self.store_session_data(session.get_correlator(), genAI) + return session + + +class ChatSession(nlip_ext.StatefulSession): + + def execute( + self, msg: nlip.NLIP_Message + ) -> nlip.NLIP_Message: + text = msg.extract_text() + images = list() + binary_contents = msg.extract_field_list("binary") + for base64_content in binary_contents: + images.append(base64_content) + + chat_server = self.nlip_app.retrieve_session_data(self.get_correlator()) + if chat_server is None: + return nlip.NLIP_Factory.create_text("Error: Can't find my chat server") + print ("\n\nUser Original text: ", text, "\n\n") + + search_term = "" + # while search_term.replace(" ", "") == "": + prompt_1 = ( + "\"" + text + "\"\n" + "Analyze this shopping request. Extract the Product, Brand, and translate casual adjectives into technical specs. " + "If the User provides their use case without knowing what product would fit their application, infer the appropriate technical attributes needed and recommend the product accordingly. " + "(e.g., change 'strong' to 'Heavy Duty', 'cheap' to 'Budget', 'fast' to 'High Speed'). " + "CRITICAL: Do NOT add attributes (like price, speed, or budget) if the user did not explicitly mention them. " + "Output ONLY the Brand, Product, and Valid Technical Attributes found in the text." + ) + #pass prompt 1 to summarize search parameters + response = chat_server.chat(prompt_1) + print("Search Summary is: ", response) + + prompt_2 = ( + "\"" + response + "\"\n" + "Convert this summary into a clean search bar string, for shopping wesites like Amazon Canada ,Home Depot Canada etc. " + "Format as a space-separated string: [Product Category] [Brand] [Key Technical Adjective]." + "Key Technical Adjective are derived from technical attributes and User Requirments interpret these to create meaningful Adjectives." + "Do not use symbols like '+' or '-' or '-' etc. Remove filler words like 'capable of', 'for', 'with'. " + "Return MAXIMUM 6 words. " + "Final returned optimized search term must be max 6 words long strict rule." + "Example output: 'Power Drill DeWalt Heavy Duty' or 'Phone 128gb Android, or 'Lumber 2x4', 'Speaker Wire Cable Managment Drywall'." + ) + #pass prompt 2 to optimize search term + response = chat_server.chat(prompt_2) + print("\n\nShortened Optimized search: " ,response, "\n\n") + search_term = chat_server.chat("\"" + response + "\"\n" + "summarize the provded search term to maximum 6 words only, remove all special characters and symbols, return only the optimized search term. no other text." + ) + + # match_product = re.search(r"Product:\s*(.+)\n", response) + # product = match_product.group(1).strip() if match_product else "" + + # match_brand = re.search(r"Brand:\s*(.+)\n", response) + # brand = match_brand.group(1).strip() if match_brand else "" + # if brand.lower() in ["not specified", "not provided", "unknown", "none", "n/a"]: + # brand = "" + # search_term = f"{brand} {product}".strip() + + print("Final Search Term is: ", search_term) + results = mm.search_product(search_term) + # results = mm.single_thread_search_product(response) + + products = nlip.NLIP_Factory.create_json(results) + return products + + +if __name__ == "__main__": + chatapp = ChatApplication() + webapp = nlip_ext.WebApplication(indexFile="client/dist/index.html", static_dir="client/dist") + app = webapp.setup_webserver(chatapp, port=chatapp.local_port) \ No newline at end of file diff --git a/nlip_web/vite_image.py b/nlip_web/vite_image.py new file mode 100644 index 0000000..3ccbe65 --- /dev/null +++ b/nlip_web/vite_image.py @@ -0,0 +1,50 @@ +from nlip_web.genai import StatefulGenAI +from nlip_web import nlip_ext as nlip_ext +from nlip_web.env import read_digits, read_string +from nlip_server import server +from nlip_sdk import nlip + + +class ChatApplication(nlip_ext.SafeStatefulApplication): + def __init__(self): + super().__init__() + self.local_port = read_digits("LOCAL_PORT",8030) + self.model = read_string("CHAT_MODEL", "llava") + self.host = read_string("CHAT_HOST", "localhost") + self.port = read_digits("CHAT_PORT", 11434) + + + def create_stateful_session(self) -> server.NLIP_Session: + genAI = StatefulGenAI(self.host, self.port,self.model) + session = ChatSession() + session.set_correlator() + self.store_session_data(session.get_correlator(), genAI) + return session + + + + +class ChatSession(nlip_ext.StatefulSession): + + def execute( + self, msg: nlip.NLIP_Message + ) -> nlip.NLIP_Message: + text = msg.extract_text() + images = list() + binary_contents = msg.extract_field_list("binary") + for base64_content in binary_contents: + images.append(base64_content) + + chat_server = self.nlip_app.retrieve_session_data(self.get_correlator()) + if chat_server is None: + return nlip.NLIP_Factory.create_text("Error: Can't find my chat server") + + response = chat_server.chat_multimodal(text, images = images) + return nlip.NLIP_Factory.create_text(response) + + + +if __name__ == "__main__": + chatapp = ChatApplication() + webapp = nlip_ext.WebApplication(indexFile="client/dist/index.html", static_dir="client/dist") + app = webapp.setup_webserver(chatapp, port=chatapp.local_port) \ No newline at end of file diff --git a/nlip_web/vite_text.py b/nlip_web/vite_text.py new file mode 100644 index 0000000..9d81e0d --- /dev/null +++ b/nlip_web/vite_text.py @@ -0,0 +1,51 @@ +from nlip_web.genai import StatefulGenAI +from nlip_web import nlip_ext as nlip_ext +from nlip_web.env import read_digits, read_string +from nlip_server import server +from nlip_sdk import nlip + + +class ChatApplication(nlip_ext.SafeStatefulApplication): + def __init__(self): + super().__init__() + self.local_port = read_digits("LOCAL_PORT",8030) + self.model = read_string("CHAT_MODEL", "llava") + self.host = read_string("CHAT_HOST", "localhost") + self.port = read_digits("CHAT_PORT", 11434) + + + def create_stateful_session(self) -> server.NLIP_Session: + genAI = StatefulGenAI(self.host, self.port,self.model) + session = ChatSession() + session.set_correlator() + self.store_session_data(session.get_correlator(), genAI) + return session + + + + +class ChatSession(nlip_ext.StatefulSession): + + def execute( + self, msg: nlip.NLIP_Message + ) -> nlip.NLIP_Message: + text = msg.extract_text() + images = list() + binary_contents = msg.extract_field_list("binary") + for base64_content in binary_contents: + images.append(base64_content) + + chat_server = self.nlip_app.retrieve_session_data(self.get_correlator()) + if chat_server is None: + return nlip.NLIP_Factory.create_text("Error: Can't find my chat server") + + response = chat_server.chat_multimodal(text, images = images) + print(f'Received response {response[0:10]}...') + return nlip.NLIP_Factory.create_text(response) + + + +if __name__ == "__main__": + chatapp = ChatApplication() + webapp = nlip_ext.WebApplication(indexFile="client/dist/index.html", static_dir="client/dist") + app = webapp.setup_webserver(chatapp, port=chatapp.local_port) \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index be74065..67824ac 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand. 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"rich-14.1.0-py3-none-any.whl", hash = "sha256:536f5f1785986d6dbdea3c75205c473f970777b4a0d6c6dd1b696aa05a3fa04f"}, {file = "rich-14.1.0.tar.gz", hash = "sha256:e497a48b844b0320d45007cdebfeaeed8db2a4f4bcf49f15e455cfc4af11eaa8"}, @@ -726,6 +1244,7 @@ version = "0.15.1" description = "Rich toolkit for building command-line applications" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "rich_toolkit-0.15.1-py3-none-any.whl", hash = "sha256:36a0b1d9a135d26776e4b78f1d5c2655da6e0ef432380b5c6b523c8d8ab97478"}, {file = "rich_toolkit-0.15.1.tar.gz", hash = "sha256:6f9630eb29f3843d19d48c3bd5706a086d36d62016687f9d0efa027ddc2dd08a"}, @@ -742,6 +1261,7 @@ version = "0.6.4" description = "Python Bindings for the ignore crate" optional = false python-versions = ">=3.8" +groups = ["main"] files = [ {file = "rignore-0.6.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:c201375cfe76e56e61fcdfe50d0882aafb49544b424bfc828e0508dc9fbc431b"}, {file = "rignore-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4962d537e377394292c4828e1e9c620618dd8daa49ba746abe533733a89f8644"}, @@ -868,12 +1388,33 @@ files = [ {file = "rignore-0.6.4.tar.gz", hash = "sha256:e893fdd2d7fdcfa9407d0b7600ef2c2e2df97f55e1c45d4a8f54364829ddb0ab"}, ] +[[package]] +name = "selenium" +version = "4.38.0" +description = "Official Python bindings for Selenium WebDriver" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "selenium-4.38.0-py3-none-any.whl", hash = "sha256:ed47563f188130a6fd486b327ca7ba48c5b11fb900e07d6457befdde320e35fd"}, + {file = "selenium-4.38.0.tar.gz", hash = "sha256:c117af6727859d50f622d6d0785b945c5db3e28a45ec12ad85cee2e7cc84fc4c"}, +] + +[package.dependencies] +certifi = ">=2025.10.5" +trio = ">=0.31.0,<1.0" +trio-websocket = ">=0.12.2,<1.0" +typing_extensions = ">=4.15.0,<5.0" +urllib3 = {version = ">=2.5.0,<3.0", extras = ["socks"]} +websocket-client = ">=1.8.0,<2.0" + [[package]] name = "sentry-sdk" version = "2.37.0" description = "Python client for Sentry (https://sentry.io)" optional = false python-versions = ">=3.6" +groups = ["main"] files = [ {file = "sentry_sdk-2.37.0-py2.py3-none-any.whl", hash = "sha256:89c1ed205d5c25926558b64a9bed8a5b4fb295b007cecc32c0ec4bf7694da2e1"}, {file = "sentry_sdk-2.37.0.tar.gz", hash = "sha256:2c661a482dd5accf3df58464f31733545745bb4d5cf8f5e46e0e1c4eed88479f"}, @@ -931,6 +1472,7 @@ version = "1.5.4" description = "Tool to Detect Surrounding Shell" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "shellingham-1.5.4-py2.py3-none-any.whl", hash = "sha256:7ecfff8f2fd72616f7481040475a65b2bf8af90a56c89140852d1120324e8686"}, {file = "shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de"}, @@ -942,17 +1484,43 @@ version = "1.3.1" description = "Sniff out which async library your code is running under" optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "sniffio-1.3.1-py3-none-any.whl", hash = "sha256:2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2"}, {file = "sniffio-1.3.1.tar.gz", hash = "sha256:f4324edc670a0f49750a81b895f35c3adb843cca46f0530f79fc1babb23789dc"}, ] +[[package]] +name = "sortedcontainers" +version = "2.4.0" +description = "Sorted Containers -- Sorted List, Sorted Dict, Sorted Set" +optional = false +python-versions = "*" +groups = ["main"] +files = [ + {file = "sortedcontainers-2.4.0-py2.py3-none-any.whl", hash = "sha256:a163dcaede0f1c021485e957a39245190e74249897e2ae4b2aa38595db237ee0"}, + {file = "sortedcontainers-2.4.0.tar.gz", hash = "sha256:25caa5a06cc30b6b83d11423433f65d1f9d76c4c6a0c90e3379eaa43b9bfdb88"}, +] + +[[package]] +name = "soupsieve" +version = "2.8" +description = "A modern CSS selector implementation for Beautiful Soup." +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "soupsieve-2.8-py3-none-any.whl", hash = "sha256:0cc76456a30e20f5d7f2e14a98a4ae2ee4e5abdc7c5ea0aafe795f344bc7984c"}, + {file = "soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f"}, +] + [[package]] name = "starlette" version = "0.46.2" description = "The little ASGI library that shines." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "starlette-0.46.2-py3-none-any.whl", hash = "sha256:595633ce89f8ffa71a015caed34a5b2dc1c0cdb3f0f1fbd1e69339cf2abeec35"}, {file = "starlette-0.46.2.tar.gz", hash = "sha256:7f7361f34eed179294600af672f565727419830b54b7b084efe44bb82d2fccd5"}, @@ -964,12 +1532,52 @@ anyio = ">=3.6.2,<5" [package.extras] full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"] +[[package]] +name = "trio" +version = "0.32.0" +description = "A friendly Python library for async concurrency and I/O" +optional = false +python-versions = ">=3.10" +groups = ["main"] +files = [ + {file = "trio-0.32.0-py3-none-any.whl", hash = "sha256:4ab65984ef8370b79a76659ec87aa3a30c5c7c83ff250b4de88c29a8ab6123c5"}, + {file = "trio-0.32.0.tar.gz", hash = "sha256:150f29ec923bcd51231e1d4c71c7006e65247d68759dd1c19af4ea815a25806b"}, +] + +[package.dependencies] +attrs = ">=23.2.0" +cffi = {version = ">=1.14", markers = "os_name == \"nt\" and implementation_name != \"pypy\""} +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +idna = "*" +outcome = "*" +sniffio = ">=1.3.0" +sortedcontainers = "*" + +[[package]] +name = "trio-websocket" +version = "0.12.2" +description = "WebSocket library for Trio" +optional = false +python-versions = ">=3.8" +groups = ["main"] +files = [ + {file = "trio_websocket-0.12.2-py3-none-any.whl", hash = "sha256:df605665f1db533f4a386c94525870851096a223adcb97f72a07e8b4beba45b6"}, + {file = "trio_websocket-0.12.2.tar.gz", hash = "sha256:22c72c436f3d1e264d0910a3951934798dcc5b00ae56fc4ee079d46c7cf20fae"}, +] + +[package.dependencies] +exceptiongroup = {version = "*", markers = "python_version < \"3.11\""} +outcome = ">=1.2.0" +trio = ">=0.11" +wsproto = ">=0.14" + [[package]] name = "typer" version = "0.17.4" description = "Typer, build great CLIs. Easy to code. Based on Python type hints." optional = false python-versions = ">=3.7" +groups = ["main"] files = [ {file = "typer-0.17.4-py3-none-any.whl", hash = "sha256:015534a6edaa450e7007eba705d5c18c3349dcea50a6ad79a5ed530967575824"}, {file = "typer-0.17.4.tar.gz", hash = "sha256:b77dc07d849312fd2bb5e7f20a7af8985c7ec360c45b051ed5412f64d8dc1580"}, @@ -987,6 +1595,7 @@ version = "4.15.0" description = "Backported and Experimental Type Hints for Python 3.9+" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548"}, {file = "typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466"}, @@ -998,6 +1607,7 @@ version = "0.4.1" description = "Runtime typing introspection tools" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "typing_inspection-0.4.1-py3-none-any.whl", hash = "sha256:389055682238f53b04f7badcb49b989835495a96700ced5dab2d8feae4b26f51"}, {file = "typing_inspection-0.4.1.tar.gz", hash = "sha256:6ae134cc0203c33377d43188d4064e9b357dba58cff3185f22924610e70a9d28"}, @@ -1012,13 +1622,17 @@ version = "2.5.0" description = "HTTP library with thread-safe connection pooling, file post, and more." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc"}, {file = "urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760"}, ] +[package.dependencies] +pysocks = {version = ">=1.5.6,<1.5.7 || >1.5.7,<2.0", optional = true, markers = "extra == \"socks\""} + [package.extras] -brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""] h2 = ["h2 (>=4,<5)"] socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] zstd = ["zstandard (>=0.18.0)"] @@ -1029,6 +1643,7 @@ version = "0.35.0" description = "The lightning-fast ASGI server." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "uvicorn-0.35.0-py3-none-any.whl", hash = "sha256:197535216b25ff9b785e29a0b79199f55222193d47f820816e7da751e9bc8d4a"}, {file = "uvicorn-0.35.0.tar.gz", hash = "sha256:bc662f087f7cf2ce11a1d7fd70b90c9f98ef2e2831556dd078d131b96cc94a01"}, @@ -1042,12 +1657,12 @@ httptools = {version = ">=0.6.3", optional = true, markers = "extra == \"standar python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""} pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""} typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""} -uvloop = {version = ">=0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""} +uvloop = {version = ">=0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""} watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""} websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""} [package.extras] -standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"] +standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools (>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.15.1) ; sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles (>=0.13)", "websockets (>=10.4)"] [[package]] name = "uvloop" @@ -1055,6 +1670,8 @@ version = "0.21.0" description = "Fast implementation of asyncio event loop on top of libuv" optional = false python-versions = ">=3.8.0" +groups = ["main"] +markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\"" files = [ {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"}, {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"}, @@ -1106,6 +1723,7 @@ version = "1.1.0" description = "Simple, modern and high performance file watching and code reload in python." optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "watchfiles-1.1.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:27f30e14aa1c1e91cb653f03a63445739919aef84c8d2517997a83155e7a2fcc"}, {file = "watchfiles-1.1.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3366f56c272232860ab45c77c3ca7b74ee819c8e1f6f35a7125556b198bbc6df"}, @@ -1218,12 +1836,47 @@ files = [ [package.dependencies] anyio = ">=3.0.0" +[[package]] +name = "webdriver-manager" +version = "4.0.2" +description = "Library provides the way to automatically manage drivers for different browsers" +optional = false +python-versions = ">=3.7" +groups = ["main"] +files = [ + {file = "webdriver_manager-4.0.2-py2.py3-none-any.whl", hash = "sha256:75908d92ecc45ff2b9953614459c633db8f9aa1ff30181cefe8696e312908129"}, + {file = "webdriver_manager-4.0.2.tar.gz", hash = "sha256:efedf428f92fd6d5c924a0d054e6d1322dd77aab790e834ee767af392b35590f"}, +] + +[package.dependencies] +packaging = "*" +python-dotenv = "*" +requests = "*" + +[[package]] +name = "websocket-client" +version = "1.9.0" +description = "WebSocket client for Python with low level API options" +optional = false +python-versions = ">=3.9" +groups = ["main"] +files = [ + {file = "websocket_client-1.9.0-py3-none-any.whl", hash = "sha256:af248a825037ef591efbf6ed20cc5faa03d3b47b9e5a2230a529eeee1c1fc3ef"}, + {file = "websocket_client-1.9.0.tar.gz", hash = "sha256:9e813624b6eb619999a97dc7958469217c3176312b3a16a4bd1bc7e08a46ec98"}, +] + +[package.extras] +docs = ["Sphinx (>=6.0)", "myst-parser (>=2.0.0)", "sphinx_rtd_theme (>=1.1.0)"] +optional = ["python-socks", "wsaccel"] +test = ["pytest", "websockets"] + [[package]] name = "websockets" version = "15.0.1" description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)" optional = false python-versions = ">=3.9" +groups = ["main"] files = [ {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d63efaa0cd96cf0c5fe4d581521d9fa87744540d4bc999ae6e08595a1014b45b"}, {file = "websockets-15.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac60e3b188ec7574cb761b08d50fcedf9d77f1530352db4eef1707fe9dee7205"}, @@ -1296,7 +1949,22 @@ files = [ {file = "websockets-15.0.1.tar.gz", hash = "sha256:82544de02076bafba038ce055ee6412d68da13ab47f0c60cab827346de828dee"}, ] +[[package]] +name = "wsproto" +version = "1.2.0" +description = "WebSockets state-machine based protocol implementation" +optional = false +python-versions = ">=3.7.0" +groups = ["main"] +files = [ + {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, + {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, +] + +[package.dependencies] +h11 = ">=0.9.0,<1" + [metadata] -lock-version = "2.0" +lock-version = "2.1" python-versions = "^3.10" -content-hash = "faece5baf9eadee0bfa0e32f28ab8c9976ef3877e0d55ed2bbf849bcf026e02d" +content-hash = "689aa5ce02e93245c5941f0f11402dac084ea79de08806980c36e8e843c86c33" diff --git a/pyproject.toml b/pyproject.toml index 73f588b..227de7f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -8,6 +8,11 @@ readme = "README.md" [tool.poetry.dependencies] python = "^3.10" nlip-server = {path = "../nlip_server", develop = true} +beautifulsoup4 = "^4.14.2" +selenium = "^4.38.0" +requests = "^2.32.5" +webdriver-manager = "^4.0.2" +lxml = "^6.0.2" [build-system] @@ -17,4 +22,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry.scripts] chat = "scripts:start_chat" image = "scripts:start_image" +vite-text = "scripts:start_vite_text" +vite-products = "scripts:start_vite_products" +vite-image = "scripts:start_vite_image" diff --git a/run_main_module.sh b/run_main_module.sh new file mode 100755 index 0000000..363902b --- /dev/null +++ b/run_main_module.sh @@ -0,0 +1,7 @@ +#!/bin/bash + +# Ask the user for input +read -p "Enter search term: " search_term + +# Run the Python module with the provided input +python3 -m website_modules.main_module "$search_term" diff --git a/scripts.py b/scripts.py index 3dfb7d3..ad059bf 100644 --- a/scripts.py +++ b/scripts.py @@ -34,4 +34,37 @@ def start_image(): """ my_env = get_env(local_port=8020, chat_model="llava") command = f"poetry run python nlip_web/image_chat.py" - run_command(command, my_env) \ No newline at end of file + run_command(command, my_env) + +def start_vite_text(): + my_env = get_env(local_port=8030,chat_model="llava") + try: + # Build in client directory + subprocess.run(["npm", "run", "build:text"], env=my_env, check=True, cwd="client") + # Run Python script from parent directory + subprocess.run(["poetry", "run", "python", "nlip_web/vite_text.py"], + env=my_env, check=True) + except subprocess.CalledProcessError as e: + print(f"Error executing command: {e}") + +def start_vite_products(): + my_env = get_env(local_port=8030,chat_model="llava") + try: + # Build in client directory + subprocess.run(["npm", "run", "build:products"], env=my_env, check=True, cwd="client") + # Run Python script from parent directory + subprocess.run(["poetry", "run", "python", "nlip_web/vite_chat.py"], + env=my_env, check=True) + except subprocess.CalledProcessError as e: + print(f"Error executing command: {e}") + +def start_vite_image(): + my_env = get_env(local_port=8030,chat_model="llava") + try: + # Build in client directory + subprocess.run(["npm", "run", "build:image"], env=my_env, check=True, cwd="client") + # Run Python script from parent directory + subprocess.run(["poetry", "run", "python", "nlip_web/vite_image.py"], + env=my_env, check=True) + except subprocess.CalledProcessError as e: + print(f"Error executing command: {e}") \ No newline at end of file diff --git a/start.sh b/start.sh new file mode 100755 index 0000000..768e9bf --- /dev/null +++ b/start.sh @@ -0,0 +1 @@ +poetry run vite-products \ No newline at end of file diff --git a/website_modules/__init__.py b/website_modules/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/website_modules/amazon_final.py b/website_modules/amazon_final.py new file mode 100644 index 0000000..014ce42 --- /dev/null +++ b/website_modules/amazon_final.py @@ -0,0 +1,145 @@ +#author Aryaman Arora +import random, time +import requests +import json +from bs4 import BeautifulSoup +from urllib.parse import urlencode + +STORE_NAME = 'Amazon Canada' + + +# Define a pool of user agents to rotate through +# Used in HEADERS +UA_POOL = [ + "Mozilla/5.0 (Macintosh; Intel Mac OS X 14_5) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/17.5 Safari/605.1.15", + "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36", + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36", +] + +HEADERS = {"User-Agent": random.choice(UA_POOL), + "Accept-Language": "en-CA,en;q=0.9", + "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", + "Referer": "https://www.amazon.ca/", + "Cache-Control": "no-cache", + "Pragma": "no-cache", + "Connection": "keep-alive", + } + +#return search url for a given search term +def build_url( searchTerm: str) -> str: + return "https://www.amazon.ca/s?" + urlencode({"k": searchTerm}) + +# Retrieve HTML content from search URL +def get_HTML(url: str, tries: int = 4) -> str: + + for i in range(tries): + + #pause exectution of function to simulate human behaviour + time.sleep(random.uniform(0.7, 1.6) + i * 0.8) + + r = requests.get(url, headers=HEADERS, timeout=30) + #request successful return HTML content + if r.status_code == 200: + return r.text + # request bad, next itteration + if r.status_code in (429, 503): + continue + + #not status code 200, 429 or 503, raise HTTP error + r.raise_for_status() + raise SystemExit("Blocked") + +# Parse HTML content and return as JSON-like dict +# if no products found or CAPTCHA detected, return empty dict +def parse_and_Dict(html_content:str) -> dict: + #check for CAPTCHA in HTML content + lower_html = html_content.lower() + if "captchachallenge" in lower_html or "enter the characters you see below" in lower_html: + print("Got CAPTCHA page") + return [] #{STORE_NAME: []} ########################## + # results = {STORE_NAME: []} + results = [] + soup = BeautifulSoup(html_content, "lxml") + # uncomment below to debug html content + # with open("finalAmzSoup.html", "w", encoding="utf-8") as f: + # f.write(str(soup)) + + # select all divs with class 's-main-slot' && inside that dive any element with non empty data-asin attribute + # data-asin is the unique identifier for each product on amazon + product_cards = soup.select("div.s-main-slot [data-asin]:not([data-asin=''])") + + #no products found, return empty dict + if not product_cards: + print("No product cards found") + return [] #{STORE_NAME: []} ########################### + + for c in product_cards: + #product name + name = (c.select_one("h2 a span") + or c.select_one("h2 span.a-text-normal") + or c.select_one("h2")) + prod_name = name.get_text(strip=True) if name else None + + # prodcuct price + price = c.select_one("span.a-price > span.a-offscreen") + prod_price = price.get_text(strip=True) if price else "N/A" + if prod_price != "N/A": + prod_price = float(prod_price.replace("$", "").replace(",", "")) + + #product image + img_tag = c.select_one("img.s-image") + img_src = img_tag["src"] if img_tag and img_tag.get("src") else None + + #product Link + product_asin = c.get("data-asin") + + if product_asin: + prod_link = f"https://www.amazon.ca/dp/{product_asin}" + else: + prod_link = None + + + if prod_name: + results.append({ + "store": STORE_NAME, + "name": prod_name, + "price": prod_price, + "product_photo": img_src, + "description": "No description available", + "link": prod_link}) + + return results + +def search_product(search_term: str) -> list: + + search_url = build_url(search_term) + html_content = get_HTML(search_url) + item_list = parse_and_Dict(html_content) + products = item_list + + return json.dumps(products) + + +# main function for use as a script +if __name__ == "__main__": + SEARCH_TERM = input("Enter search term: ").strip() + # print("this is search term: " + SEARCH_TERM) + search_url = build_url(SEARCH_TERM) + html_content = get_HTML(search_url) + item_list = parse_and_Dict(html_content) + + products = item_list + + if not products: + print("No products were found") + else: + # print("this price type", type(prod_price)) + for index, product in enumerate(products, 1): + print(f"Item {index}:") + print(f"Name: {product['name']}") + print(f"Price: {product['price']}") + print(f"Link: {product['link']}") + print(f"Image: {product['product_photo']}") + print("-" * 60) # visual separator + + diff --git a/website_modules/bestbuy_ca_module.py b/website_modules/bestbuy_ca_module.py new file mode 100644 index 0000000..506abcd --- /dev/null +++ b/website_modules/bestbuy_ca_module.py @@ -0,0 +1,172 @@ +# author Aryaman Arora +import time +import random +import json +from bs4 import BeautifulSoup +from urllib.parse import urlencode + +from selenium import webdriver +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.common.by import By +from selenium.webdriver.support.ui import WebDriverWait +from selenium.webdriver.support import expected_conditions as EC + +STORE_NAME = 'Best Buy Canada' + +# get html with selenium +def get_html(url: str) -> str: + options = Options() + options.add_argument("--disable-blink-features=AutomationControlled") + options.add_argument("--start-maximized") + # fix for "Access Denied" issue + options.add_argument("--disable-http2") + #add user agent + options.add_argument( + "user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) " + "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36" + ) + options.add_argument("--headless") ###################################### + + driver = webdriver.Chrome(options=options) + + try: + #print (open brows) + driver.get(url) + + # Waait product load or timeout 20 sec + try: + WebDriverWait(driver, 20).until( + EC.presence_of_element_located((By.CLASS_NAME, "productItemName_3IZ3c")) + ) + # print("prods loaded") + except: + print("Timed out/Product not found") + + # scroll trigger product loading + for i in range(1, 5): + driver.execute_script(f"window.scrollTo(0, {i * 800});") + time.sleep(random.uniform(0.5, 1.0)) + + # Return full HTML source with loaded js content + return driver.page_source + + finally: + driver.quit() + +# function to build search url +def build_url(searchTerm: str) -> str: + base_url = "https://www.bestbuy.ca/en-ca/search?" + return base_url + urlencode({"search": searchTerm}) + +#parse html return list +def parse_and_list(html_content: str) -> dict: + results = [] + soup = BeautifulSoup(html_content, "lxml") + + # product name + name_tags = soup.select(".productItemName_3IZ3c") + if not name_tags: + return [] ################] + for name_tag in name_tags: + # get name + prod_name = name_tag.get_text(strip=True) + card = name_tag.find_parent("li") + if not card: # backstep to find name if not found by .find_parent("li") + card = name_tag.find_parent("div", class_=lambda x: x and 'col-xs' in x) + + if not card: #useless entry + continue + + #product price + price_tag = card.select_one(".productPricingContainer_3gTS3 span[data-automation='product-price']") + + prod_price = "N/A" + if price_tag: + raw_price = price_tag.get_text(strip=True) + # fix price duplicated eg $99$99 split + if raw_price.count('$') > 1: + # split price by $ take second part + parts = raw_price.split('$') # parts[0] is empty, parts[1] is first price + if len(parts) > 1: + prod_price = parts[1] + else: + prod_price = raw_price + else: + #check price in parent container not found above + container = card.select_one(".productPricingContainer_3gTS3") + if container: + raw_price = container.get_text(strip=True) + if raw_price.count('$') > 1: + prod_price = raw_price.split('$')[1] + prod_price = float(prod_price.replace("$", "").replace(",", "")) + else: + prod_price = raw_price + + # product image + img_src = None + #select image with class productItemImage + img_tag = card.find("img", class_=lambda x: x and "productItemImage" in x) + + # class select not work try to use thumbnail image div + if not img_tag: + img_tag = card.select_one("div[data-automation='product-image'] img") + + # first 2 options not work grab any img tag in card + if not img_tag: + img_tag = card.select_one("img") + + if img_tag: + srcset = img_tag.get("srcset") + if srcset: + # bestbuy use srcset with multiple URLs, extract first clean URL + first_entry = srcset.split(",")[0] + img_src = first_entry.strip().split(" ")[0] + else: + img_src = img_tag.get("src") + + # product Link + link_tag = card.select_one("a[itemprop='url']") or card.select_one("a") + prod_link = None + if link_tag and link_tag.get("href"): + href = link_tag["href"] + if href.startswith("/"): + prod_link = "https://www.bestbuy.ca" + href + else: + prod_link = href + + results.append({ + "store": STORE_NAME, + "name": prod_name, + "price": prod_price, + "product_photo": img_src, + "description": "No description available", + "link": prod_link}) + + return results + +# search products used by main_module.py to return product results to main module +def search_product(search_term: str) -> list: + search_url = build_url(search_term) + html_content = get_html(search_url) + products = parse_and_list(html_content) + return json.dumps(products) + +# main function for use as a script +if __name__ == "__main__": + + SEARCH_TERM = input("Enter search term: ").strip() + search_url = build_url(SEARCH_TERM) + html_content = get_html(search_url) + item_list = parse_and_list(html_content) + products = item_list + + if not products: + print("no products found") + else: + for index, product in enumerate(products, 1): + print(f"Item {index}:") + print(f"Name: {product['name']}") + print(f"Price: {product['price']}") + print(f"Link: {product['link']}") + print(f"Image: {product['product_photo']}") + print("-" * 60) \ No newline at end of file diff --git a/website_modules/dellelce_bookstore_module.py b/website_modules/dellelce_bookstore_module.py new file mode 100644 index 0000000..2bad1c2 --- /dev/null +++ b/website_modules/dellelce_bookstore_module.py @@ -0,0 +1,202 @@ +# module for UWO dellelce Bookstore + +# imports for library functions +from bs4 import BeautifulSoup +from selenium import webdriver +from selenium.webdriver.common.by import By +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.support import expected_conditions as EC +import sys +import time +import json + +## CONSTANT VARIABLES +STORE_NAME = "Dellelce Bookstore UWO" +WEB_ADDRESS = 'https://bookstore.uwo.ca/' +SEARCH_ARG = 'search/products?search=' +PAGE_NUM = "&page=" # no page number argument for fist page, second page starts at &page=1 +SORT_ARG = "&sort=" # add search filter like: &sort=search_api_relevance%20DESC +## options = [relevance_desc, newest to oldest, oldest to newest, price increasing, price decreasing] +SORT_ARG_OPTIONS = ['search_api_relevance%20DESC', 'created+DESC', 'created+ASC', 'search_api_aggregation_2+ASC', 'search_api_aggregation_2+DESC'] +CATEGORY = '&category=' +CATEGORY_OPTIONS = ['All'] # All is default, category id can be specified +HTTP_HEADERS = { + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36', + 'Accept-Language': 'en-US,en;q=0.9', + 'Accept-Encoding': 'gzip, deflate, br', + 'Connection': 'keep-alive', +} + +def get_next_page(query_term: str, page_num: int): + page_num = page_num - 1 + query = query_term + PAGE_NUM + str(1) + return search_product(query_term=query) + +# takes a serch term or formatted query to search the site +# returns list of product objects +def search_product(query_term): + options = Options() + options.add_argument("--headless=new") + options.add_argument(f"user-agent={HTTP_HEADERS['User-Agent']}") + driver = webdriver.Chrome(options=options) + + product_list = [] + #product_list[STORE_NAME] = [] + + try: + driver.get(WEB_ADDRESS + SEARCH_ARG + query_term) + html = driver.page_source + + parsed_content = parse_site_content(html) + # if first page is non-empty, query the next page. Otherwise no products matching the search term exist. + if len(parsed_content) < 1: + driver.quit() + return json.dumps(product_list) + + product_list = parsed_content + + # first page non-empty, query remaining pages of content. + end_of_content = True + current_page = 1 # second page starts at 1 + while not end_of_content: + # sleep to not overwhelm site with continuous queries + time.sleep(5) + driver.get(WEB_ADDRESS + SEARCH_ARG + query_term + PAGE_NUM + str(current_page)) + parsed_content = parse_site_content(driver.page_source) + + if len(parsed_content) < 1: + # end of query content + break + # increment page counter + current_page += 1 + product_list.extend(parsed_content) + finally: + driver.quit() + print(product_list) + + return json.dumps(product_list) + +# return search results from a specific page +def search_product_specific_page(query_term, pagenum) -> list: + options = Options() + options.add_argument("--headless=new") + options.add_argument(f"user-agent={HTTP_HEADERS['User-Agent']}") + driver = webdriver.Chrome(options=options) + + product_list = [] + + try: + driver.get(WEB_ADDRESS + SEARCH_ARG + query_term + PAGE_NUM + str(pagenum)) + html = driver.page_source + + parsed_content = parse_site_content(html) + # if first page is non-empty, query the next page. Otherwise no products matching term exist. + if len(parsed_content) < 1: + driver.quit() + return + + product_list.append(parsed_content) + finally: + driver.quit() + + return json.dumps(product_list) + +# parses out poduct information from html return +# returns list of dicts/json formatted objects +def parse_site_content(html_content) -> list: + + soup = BeautifulSoup(html_content, 'html.parser') + + # message displayed if exceeded page with results, or if no results found + end_of_results = soup.find_all("div", class_="view-empty") + if len(end_of_results) != 0: + return [] + + products = soup.find_all("div", class_="views-row") + + # create the dictionary to return list of product information + product_information = [] + + for prod in products: + temp_prod = {} + # extract it-em name + temp_prod["store"] = STORE_NAME + + temp_prod["name"] = prod.find('a').text + + temp_prod["description"] = 'No description available' + + # commerce-product-field is where price information is stored + price_field = prod.find(class_="commerce-product-field") + price = price_field.find("div", class_="field-item").text + temp_prod["price"] = (price.split(' ')[0]).replace('$','') + + # check if item has sizes: + sizes_radio_group = prod.find(class_='attribute-widgets') + temp_prod['sizes'] = ['N/A'] + + if sizes_radio_group != None: + temp_prod['sizes'] = [] + radio_buttons = prod.find_all(class_="control-label") + for opt in radio_buttons: + if opt.text == 'Size:': ## skip control values with non-size specific information + continue + temp_prod['sizes'].append(opt.text) + + ## TODO: fix availability for items with multiple sizes + availability = prod.find(class_="add-to-cart").text + temp_prod["availability"] = availability + + if availability == "Add to cart": + availability = "in stock" + + img_src = prod.find('img')['src'] + + # if image is the placeholder for no photo, make it "" + # nlip_web_client will filter this as NO IMAGE + if img_src == "/sites/all/themes/bookstore/images/no-photo.png": + img_src = "" + + temp_prod["product_photo"] = img_src + + # add link to product page using link to item id stored in anchor tag + temp_prod["link"] = (WEB_ADDRESS[:-1] + prod.find('a')['href']) + + ## Further product information available on the item page + # Stock count + # on order count + # SKU -> differs from product id. is different for each size listing + + # push product information to list + product_information.append(temp_prod) + + return product_information + +def get_web_address() -> str: + return WEB_ADDRESS + +# return list of constant variables and configurable options +def get_config() -> dict: + return { + "web_address": WEB_ADDRESS, + "search_arg": SEARCH_ARG, + "page_num": PAGE_NUM, + "sort_arg": SORT_ARG, + "sort_arg_options": SORT_ARG_OPTIONS, + "http_headers": HTTP_HEADERS, + "filter_category": CATEGORY, + "filter_category_options": CATEGORY_OPTIONS + } + +# main function for use if run as script +if __name__ == "__main__": + search_term = "" + if len(sys.argv) > 1: + search_term = sys.argv[1] + else: + print("Input serch term: ") + search_term = input() + + #print(search_product(search_term)) + print(get_next_page(search_term, 2)) + \ No newline at end of file diff --git a/website_modules/homeDepotSelen.py b/website_modules/homeDepotSelen.py new file mode 100644 index 0000000..7f81451 --- /dev/null +++ b/website_modules/homeDepotSelen.py @@ -0,0 +1,203 @@ +# author Aryaman Arora +import time +import random +import json +from bs4 import BeautifulSoup +from urllib.parse import urlencode + +# Selenium imports for full JS rendering +from selenium import webdriver +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.chrome.service import Service +from webdriver_manager.chrome import ChromeDriverManager +from selenium.webdriver.common.by import By +from selenium.webdriver.support.ui import WebDriverWait +from selenium.webdriver.support import expected_conditions as EC + +STORE_NAME = 'Home Depot Canada' + +# get HTML with Selenium +def get_html(url: str) -> str: + + # Setup Chrome Options + options = Options() + options.add_argument("--disable-blink-features=AutomationControlled") + options.add_argument( + "user-agent=Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) " + "AppleWebKit/537.36 (KHTML, like Gecko) Chrome/125.0.0.0 Safari/537.36" + ) + # run headless + options.add_argument("--headless=new") + + #initialize Chrome web driver + driver = webdriver.Chrome( + service=Service(ChromeDriverManager().install()), + options=options + ) + + try: + # print("open browser") + driver.get(url) + + #wait for the products to load or timeout after 15 seconds + try: + WebDriverWait(driver, 15).until( + EC.presence_of_element_located( + (By.CSS_SELECTOR, "article.acl-product-card, div.acl-product-card") + ) + ) + # print("product loaded good.") + except: + print("Timed out/Product not found") + + # Scroll to trigger loading + if ".ca" in url: + # Incremental scrolling hit trigger zones + current_height = 0 + while True: + current_height += 500 + driver.execute_script(f"window.scrollTo(0, {current_height});") + time.sleep(1) # pause let js load new node + + # Check total height to see if we reached the bottom + total_height = driver.execute_script("return document.body.scrollHeight") + if current_height >= total_height: + break + else: + driver.execute_script("window.scrollTo(0, 1000);") + time.sleep(2) + + # Return full HTML source with loaded js content + return driver.page_source + + finally: + driver.quit() + +# build search URL +def build_url(searchTerm: str) -> str: + return "https://www.homedepot.ca/search?" + urlencode({"q": searchTerm}) +def next_page_url(searchTerm: str, page_num: int) -> str: + return "https://www.homedepot.ca/search?" + urlencode({"q": searchTerm, "page": page_num}) + +# Parse HTML and return list +def parse_and_Dict(html_content: str) -> dict: + + results = [] + soup = BeautifulSoup(html_content, "lxml") + + # slect all product cards + product_cards = soup.select( + "article.acl-product-card, " + "div.acl-product-card, " + "[data-component='ProductCard']" + ) + + # No products found, return empty dict + if not product_cards: + return [] #### + + for c in product_cards: + + # product name + name_tag = ( + c.select_one(".acl-product-card__title") + or c.select_one("h2") + or c.select_one("a.acl-product-card__title-link") + ) + prod_name = name_tag.get_text(strip=True) if name_tag else None + + #product price + price = ( + c.select_one(".acl-product-card__price") + or c.select_one("[class*='price-format']") + or c.select_one("[itemprop='price']") + ) + + if price: + # price raw text format, "$179And00Cents/ each") + raw_price = price.get_text(strip=True) + #filter text + clean_price = raw_price.replace("And", ".").replace("Cents", "").replace("/ each", "").strip() + prod_price = clean_price + try: + prod_price = float(prod_price.replace("$", "").replace(",", "")) + except ValueError: + prod_price = "N/A" + else: + prod_price = "N/A" + + # product image + img_tag = c.select_one("img") + img_src = None + if img_tag: + img_src = img_tag.get("src") or img_tag.get("data-src") + + + # product Link + link_tag = c.select_one("a.acl-product-card__title-link") + + # if class above not found fallback H2 tag + if not link_tag: + link_tag = c.select_one("h2 a") + + prod_link = None + if link_tag and link_tag.get("href"): + href = link_tag["href"] + if href.startswith("/"): + prod_link = "https://www.homedepot.ca" + href + else: + prod_link = href + + # if valid append product to list + if prod_name: + results.append({"store": STORE_NAME, + "name": prod_name, + "price": prod_price, + "product_photo": img_src, + "description": "No description available", + "link": prod_link}) + + return results + +# search products used by main_module.py to return product results to main module +def search_product(search_term: str) -> list: + + search_url = build_url(search_term) + html_content = get_html(search_url) + item_list = parse_and_Dict(html_content) + products = item_list + + return json.dumps(products) + +def get_next_page(search_term: str, page_num: int) -> list: + next_url = next_page_url(search_term, page_num) + html_content = get_html(next_url) + item_list = parse_and_Dict(html_content) + products = item_list + + return json.dumps(products) + +# Main to run as script +if __name__ == "__main__": + SEARCH_TERM = input("Enter search term: ").strip() + search_url = build_url(SEARCH_TERM) + # search_url = next_page_url(SEARCH_TERM,2) + print("this is search url:", search_url) + + # selenium gets JS rendered Html + html_content = get_html(search_url) + + # Parse and return products dict + item_dict = parse_and_Dict(html_content) + products = item_dict + + if not products: + print("No products were extracted.") + else: + for index, product in enumerate(products, 1): + print(f"Item {index}:") + print(f"Name: {product['name']}") + print(f"Price: {product['price']}") + print(f"Link: {product['link']}") + print(f"Image: {product['product_photo']}") + print("-" * 60) # visual separator \ No newline at end of file diff --git a/website_modules/main_module.py b/website_modules/main_module.py new file mode 100644 index 0000000..3918dc4 --- /dev/null +++ b/website_modules/main_module.py @@ -0,0 +1,169 @@ +# imports for library functions +import time +from bs4 import BeautifulSoup +from selenium import webdriver +from selenium.webdriver.common.by import By +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.support import expected_conditions as EC +import sys +import json + +from concurrent.futures import ThreadPoolExecutor, as_completed + +# Import search modules for websites +from . import newegg_ca_module +from . import dellelce_bookstore_module +from . import staples_ca_module +from . import amazon_final +from . import homeDepotSelen +from . import bestbuy_ca_module +# from . import walmart_ca_module + +# THREAD COUNT +MAX_THREADS = 5 +THREAD_PREFIX = "main_module_thread_" + +# Modules with completed search_product(str) functions +search_modules = [ + amazon_final, + homeDepotSelen, + bestbuy_ca_module, + dellelce_bookstore_module, + # newegg_ca_module, + staples_ca_module +] + +def single_thread_search_product(search_term: str): + search_results = [] + for module in search_modules: + + if not hasattr(module, 'search_product'): + continue + + search_function = getattr(module, 'search_product') + + try: + product_results_json = search_function(search_term) + + # convert to dict + prods = product_results_json + print(prods) + search_results = search_results + json.loads(prods) + + except Exception as e: + print(f'ERROR with {module}\n') + print(f'\tFunction: [search_product(str) -> json]') + print(f'\t{e}\n') + + res = {} + res['results'] = search_results + + # has to return a proper python dictionary + return res + +# func for thread to execute +def run_module_search(module: str, search_term: str, ): + if not hasattr(module, 'search_product'): + return None + + try: + search_function = getattr(module, 'search_product') + product_results_json = search_function(search_term) + + # convert to dict + prods = json.loads(product_results_json) + return(prods) + + except Exception as e: + print(f'ERROR with {module}\n') + print(f'\tFunction: [search_product(str) -> json]') + print(f'\t{e}\n') + return None + +# func for thread to execute +def run_module_next_page(module: str, search_term: str, page_num: int): + if not hasattr(module, 'get_next_page'): + return None + + try: + get_next_page = getattr(module, 'get_next_page') + product_results_json = get_next_page(search_term, page_num) + + # convert to dict + prods = json.loads(product_results_json) + return(prods) + + except Exception as e: + print(f'ERROR with {module}\n') + print(f'\tFunction: [search_product(str) -> json]') + print(f'\t{e}\n') + return None + +def search_product(search_term: str): + search_results = [] + + with ThreadPoolExecutor(max_workers=MAX_THREADS, thread_name_prefix=THREAD_PREFIX) as executor: + ## exectute + future = { + executor.submit(run_module_search, module, search_term): module + for module in search_modules + } + + for future in as_completed(future): + result = future.result() + if result is not None: + search_results.extend(result) + + # has to return a proper python dictionary + res = {} + res['results'] = search_results + return res + +def get_next_page(search_term: str, page_num: int): + search_results = [] + + with ThreadPoolExecutor(max_workers=MAX_THREADS, thread_name_prefix=THREAD_PREFIX) as executor: + ## exectute + future = { + executor.submit(run_module_next_page, module, search_term, page_num): module + for module in search_modules + } + + for future in as_completed(future): + result = future.result() + if result is not None: + search_results.extend(result) + # has to return a proper python dictionary + res = {} + res['results'] = search_results + return res + +def main(): + search_term = "" + if len(sys.argv) > 1: + search_term = sys.argv[1] + else: + print("Input serch term: ") + search_term = input() + + #test_performance() + print(search_product(search_term)) + +# benchmark test for multi vs single thread performance +def test_performance(): + search_term = "lanyards" + + t1 = time.perf_counter() + print(single_thread_search_product(search_term)) + t2 = time.perf_counter() + + t3 = time.perf_counter() + print(search_product(search_term)) + t4 = time.perf_counter() + + print(f'Single thread took :{t2 - t1} seconds') + print(f'Mutli thread took :{t4 - t3} seconds') + +# for use of main module as script +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/website_modules/newegg_ca_module.py b/website_modules/newegg_ca_module.py new file mode 100644 index 0000000..528e83e --- /dev/null +++ b/website_modules/newegg_ca_module.py @@ -0,0 +1,112 @@ +# https://stackoverflow.com/questions/68992032/scrape-walmart-search-results-python helped me figure out how to make search request for Walmart +# Prints all the products found on walmart.ca with a specified product name on the first page +# Must install bs4 -> BeautifulSoup and requests to work +from bs4 import BeautifulSoup # For parsing HTML +import requests # For getting into Newegg and using its search function +import json # For formatting the data so it is easy to read/extract info +from urllib.parse import quote # Proper formatting of link + +STORE_NAME = 'New Egg Canada' +WEB_ADDRESS = 'https://www.newegg.ca/' +SEARCH_ARG = 'p/pl?d=' +PAGE_NUM = "&page=" + +HTTP_HEADERS = { + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36', + #'Accept-Language': 'en-US,en;q=0.9', + #'Accept-Encoding': 'gzip, deflate, br', + #'Connection': 'keep-alive', +} + +def get_url(product_name, page): + return 'https://www.newegg.ca/p/pl?d=' + quote(product_name) + +def get_next_page(query_term: str, page_num: int): + query = query_term + PAGE_NUM + str(page_num) + return search_product(query) + +def print_products(items): + products = [] + # Get only product blocks, format them + for item in items: + # Product Name + title_tag = item.select_one(".item-title") + title = title_tag.text.strip() if title_tag else None + link = title_tag.get("href") if title_tag else None + + # Price + dollars_tag = item.select_one(".price-current strong") + cents_tag = item.select_one(".price-current sup") + price = None + if dollars_tag: + dollars = dollars_tag.text.strip() + cents = cents_tag.text.strip() if cents_tag else "00" + price = f"{dollars}{cents}" + price = float(price) + + # Image + img_tag = item.select_one("img") + image = img_tag.get("src") if img_tag else None + + # Shipping + shipping_tag = item.select_one(".price-ship") + shipping = shipping_tag.text.strip() if shipping_tag else None + + if title and price: # Only add if title found (skip ads) + products.append({ + "store": STORE_NAME, + "name": title, + "price": price, + "link": link, + "product_photo": image, + "shipping_info": shipping, + "description": "No description available", + }) + + # How many products that were on the first page + num_of_products = 0 + if num_of_products > 0: + print("Number of products in stock: " + str(len(products))) + # Print out all products found on the first page + print("PRODUCTS IN STOCK:\n") + for p in products: + for attribute in p: + print(attribute + ": " + str(p[attribute])) + print() + + return products + +def search_product(product_name: str): + product_list = [] + + try: + session = requests.Session() + session.headers.update(HTTP_HEADERS) + + url = get_url(product_name, 1) + + r = session.get(url) # Pretend to be browser, prevent Walmart from flagging us as a bot + soup = BeautifulSoup(r.text, 'html.parser') # No need to install lxml (html.parser), parse HTML + + # Same method of extracting info as Staples + product_list = print_products(soup.select('.item-cell')) + # If you want more pages, just ask and add next page to url and redo this process with that page (ex. &page2) + except Exception as e: + print(e) + + return json.dumps(product_list) + + +# Search loop +if __name__ == "__main__": + searching = 'y' + while searching == 'y': + product_desc = input("Enter the name of the product: ") + search_product(product_desc) + + user_input = input("Perform another search? (y/n): ") + searching = user_input[0].lower() + while searching != 'y' and searching != 'n': + searching = input("Perform another search? (y/n): ") + + print("Thank you for shopping at Walmart!") diff --git a/website_modules/staples_ca_module.py b/website_modules/staples_ca_module.py new file mode 100644 index 0000000..e3eb464 --- /dev/null +++ b/website_modules/staples_ca_module.py @@ -0,0 +1,111 @@ +import json +import sys +import time +from selenium import webdriver +from selenium.webdriver.common.by import By +from selenium.webdriver.chrome.options import Options +from bs4 import BeautifulSoup + +## CONSTANT VARIABLES +STORE_NAME = 'Staples Canada' +WEB_ADDRESS = 'https://www.staples.ca/' +SEARCH_ARG = 'search?query=' +HTTP_HEADERS = { + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36', + # 'Accept-Language': 'en-US,en;q=0.9', + #'Accept-Encoding': 'gzip, deflate, br', + #'Connection': 'keep-alive', +} + + + +#def scrape_staples_selenium(product_name: str): +def search_product(product_name: str): + # --- Chrome options --- + options = Options() + options.add_argument("--start-maximized") + options.add_argument("--disable-blink-features=AutomationControlled") + options.add_argument(f"user-agent={HTTP_HEADERS['User-Agent']}") + # run headless + options.add_argument("--headless=new") + + driver = webdriver.Chrome(options=options) + search_url = f"{WEB_ADDRESS}{SEARCH_ARG}{product_name}" + driver.get(search_url) + + # wait for the page to load and scripts to render + time.sleep(5) + + # scroll to mimic human behavior (helps bypass blocks) + driver.execute_script("window.scrollTo(0, document.body.scrollHeight);") + time.sleep(2) + + # get the rendered HTML + html = driver.page_source + driver.quit() + + # --- Parse with BeautifulSoup --- + soup = BeautifulSoup(html, "html.parser") + + results = [] + for a_tag in soup.select("a.product-link"): + text = a_tag.get_text(separator=" ", strip=True) + + # Clean up the title + if "Quick View" in text: + text = text.replace("Quick View", "").strip() + + link = f"https://www.staples.ca{a_tag.get('href', '')}" + + # Try to find the price near this link (look upward or in the same container) + card = a_tag.find_parent("div", class_="product-thumbnail") + price_el = card.select_one("span.money.pre-money") if card else None + price = price_el.get_text(strip=True) + if price_el: + price = float(price[1:].replace(",", "")) + else: + price = 0.0 + + + # extract the img src + img_tag = card.find("img") + img_src = img_tag["src"] if img_tag and img_tag.has_attr("src") else None + + if text: + results.append({ + "store": STORE_NAME, + "name": text, + "price": price, + "product_photo": img_src, + "description": "No description available", + "link": link + }) + + return json.dumps(results) + +def main(): + if len(sys.argv) > 1: + results = search_product(sys.argv[1]) + print(results) + return + + searching = 'y' + while searching == 'y': + product_desc = input("Enter the name of the product: ") + products = search_product("laptop") + for i, p in enumerate(products, 1): + print("Name: " + p['title']) + print("Price: " + p['price']) + print("Link: " + p['link']) + print() + + user_input = input("Perform another search? (y/n): ") + searching = user_input[0].lower() + while searching != 'y' and searching != 'n': + searching = input("Perform another search? (y/n): ") + + print("Thank you for shopping at Staples!") + # page%5D=2 + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/website_modules/walmart_ca_module.py b/website_modules/walmart_ca_module.py new file mode 100644 index 0000000..eb4ed5f --- /dev/null +++ b/website_modules/walmart_ca_module.py @@ -0,0 +1,82 @@ +# module for walmart.ca/en/ + +import requests +from bs4 import BeautifulSoup +import json +import cloudscraper +import time + +from selenium import webdriver +from selenium.webdriver.common.by import By +from selenium.webdriver.chrome.options import Options +from selenium.webdriver.support import expected_conditions as EC +import time + +## CONSTANT VARIABLES +WEB_ADDRESS = 'https://www.walmart.ca/en/' +SEARCH_ARG = 'search?q=' +SORT_ARG = '&sort=' +SORT_ARG_OPTIONS = ['price_low','price_high','best_match'] +FILTER_CATEGORY = '&catId=' ## integer value representing category +## page numbering starts at 1 for first page +PAGE_NUM = '&page=' ## defaults to being paired with: AFFINITY_OVERRIDE +AFFINITY_OVERRIDE = '&affinityOverride=default' + +FILTER_BRAND = '&facet=brand%3A' ## brand%3a + string +## for multiple brands concat with: %7C%7C +## &facet=brand%3APentel%7C%7Cbrand%3ABIC + +HTTP_HEADERS = { + 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36', + 'Accept-Language': 'en-US,en;q=0.9', + 'Accept-Encoding': 'gzip, deflate, br', +} + +# return list of constant variables and configurable options +def get_config() -> dict: + return { + "web_address": WEB_ADDRESS, + "search_arg": SEARCH_ARG, + "page_num": PAGE_NUM, + "affinity_override": AFFINITY_OVERRIDE, + "sort_arg": SORT_ARG, + "sort_arg_options": SORT_ARG_OPTIONS, ## TODO: populate the valid search filters + "filter_category" :FILTER_CATEGORY, + "filter_brand": FILTER_BRAND, + "http_headers": HTTP_HEADERS, + } + +def search_product(search_term): + + options = Options() + ##options.add_argument("--headless=new") + options.add_argument(f"user-agent={HTTP_HEADERS['User-Agent']}") + ##options.add_argument("--no-sandbox") + ##options.add_argument("--disable-dev-shm-usage") + ##options.add_argument("--disable-blink-features=AutomationControlled") + driver = webdriver.Chrome(options=options) + + url = WEB_ADDRESS + SEARCH_ARG + search_term + try: + driver.get(url=url) + + time.sleep(5) + + html = driver.page_source + finally: + driver.quit() + + soup = BeautifulSoup(html, 'html.parser') + + return soup + +def parse_site_content(html_content) -> list: + return [] + +# main function for use as a script +if __name__ == "__main__": + print("Input serch term: ") + search_term = input() + + return_vals = search_product(search_term) + print(return_vals) \ No newline at end of file