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app.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e65ac427",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from flask import Flask, request\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import smtplib\n",
+    "import getpass\n",
+    "app = Flask(__name__)\n",
+    "\n",
+    "@app.route('/submit', methods=['POST'])\n",
+    "def submit():\n",
+    "  email = request.json['email']\n",
+    "  price = request.json['price']\n",
+    "  \n",
+    "  print('Email:', email)\n",
+    "  print('Price:', price)\n",
+    "  data = pd.read_csv(r\"C:\\\\Users\\\\DELL\\\\GPTEXTENSION\\\\data.csv\",index_col=0)\n",
+    "# print(column_array)\n",
+    "# print(column_array[-2])\n",
+    "# print(column_array[-1])\n",
+    "  dat = np.array(data)\n",
+    "  current_price=dat[len(dat)-1]\n",
+    "#   print(required_price)\n",
+    "  if(int(price) > int(current_price)):\n",
+    "    HOST = \"smtp-mail.outlook.com\"\n",
+    "    PORT = 587\n",
+    "\n",
+    "    FROM_EMAIL = \"<email>\"\n",
+    "    TO_EMAIL = email\n",
+    "    PASSWORD = \"<password>\"\n",
+    "\n",
+    "    MESSAGE = \"\"\"Subject: <add mail subject here>\n",
+    "    <add mail content here>\"\"\"\n",
+    "\n",
+    "    smtp = smtplib.SMTP(HOST, PORT)\n",
+    "\n",
+    "    status_code, response = smtp.ehlo()\n",
+    "    print(f\"[*] Echoing the server: {status_code} {response}\")\n",
+    "\n",
+    "    status_code, response = smtp.starttls()\n",
+    "    print(f\"[*] Starting TLS connection: {status_code} {response}\")\n",
+    "\n",
+    "    status_code, response = smtp.login(FROM_EMAIL, PASSWORD)\n",
+    "    print(f\"[*] Logging in: {status_code} {response}\")\n",
+    "\n",
+    "    smtp.sendmail(FROM_EMAIL, TO_EMAIL, MESSAGE)\n",
+    "    smtp.quit()\n",
+    "  return { 'success': True }\n",
+    "\n",
+    "if __name__ == '__main__':\n",
+    "  app.run(debug=True)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

app.py

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+# app.py
+from selenium.webdriver.chrome.service import Service
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.keys import Keys
+from selenium.webdriver import Chrome
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+from selenium.webdriver.common.by import By
+# import time
+import json
+import requests
+import re
+from bs4 import BeautifulSoup
+import plotly.graph_objs as go
+from flask import Flask, request, send_file
+from flask import Flask, request, jsonify, make_response
+import io
+import pandas as pd
+
+
+service = Service('/home/uday/Chromedriver')
+service.start()
+options = Options()
+options.add_argument('--no-sandbox')
+options.add_argument('--disable-dev-shm-usage')
+options.add_argument('--headless')
+browser = Chrome(service=service, options=options)
+
+app = Flask(__name__)
+
+@app.route('/generate_graph')
+def generate_graph():
+    # Get product URL from request
+    product_url = request.args.get('product_url')
+    # print(f"Product URL :- {product_url}")
+
+    browser.get('https://www.pricebefore.com/')
+    print("Ok") 
+
+    search_box = WebDriverWait(browser, 10).until(EC.presence_of_element_located((By.ID, 'search-box-home')))
+    search_box.send_keys(product_url)
+    search_box.send_keys(Keys.RETURN)
+
+    # time.sleep(7)
+
+    new_url = browser.current_url
+    # print('New URL:', new_url)
+
+    r = requests.get(new_url)
+    htmlcontent = r.content
+
+    soup = BeautifulSoup(htmlcontent,'html.parser')
+    title = soup.title
+    # print(title)
+
+    paras = soup.find_all('canvas')
+
+    paras1 = None
+    scripts = soup.find_all('script')
+    for script in scripts:
+        if 'var data' in script.text:
+            paras1 = script.text
+            break
+
+    if paras1:
+        match = re.search(r'var\s+data\s*=\s*(.*?);', paras1)
+        if match:
+            data_str = match.group(1)
+            # print(data_str)
+            data = json.loads(data_str)
+            dates_list = data["dates"]
+            prices_list = data["prices"]
+            df = pd.DataFrame({'col1': dates_list, 'col2': prices_list})
+            df.to_csv('output.csv',index=False)
+
+    return generate_and_return_graph(dates_list, prices_list)
+
+def generate_and_return_graph(x_data, y_data):
+    trace = go.Scatter(x=x_data, y=y_data, mode='lines+markers')
+    fig = go.Figure(data=[trace])
+    fig.update_layout(hovermode='x')
+
+    # Generate the plot using plotly
+    fig.show()
+
+    # Save the plot to a PNG file
+    buf = io.BytesIO()
+    fig.write_image(buf, format='png')
+    buf.seek(0)
+    # Return the file as a Flask response
+    return send_file(buf, mimetype='image/png')
+
+if __name__ == '__main__':
+    app.run()

background.js

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+chrome.browserAction.onClicked.addListener(function(tab) {
+  chrome.tabs.executeScript({
+    file: 'popup.js'
+  });
+});

manifest.json

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+{
+  "manifest_version": 2,
+  "name": "Price History Graph",
+  "version": "1.0",
+  "description": "Displays a graph of price history for a product.",
+  "browser_action": {
+    "default_title": "Price History Graph",
+    "default_popup": "popup.html"
+  },
+  "permissions": [
+    "activeTab",
+    "http://localhost:5000/*"
+  ]
+}

popup.html

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+<!DOCTYPE html>
+<html>
+<head>
+    <meta charset="utf-8">
+    <title>Product Graph</title>
+    <style>
+        *{
+            background-color: white;
+        }
+    </style>
+</head>
+<body bgcolor="">
+    <h1>Product Price History Graph</h1>
+    <img id="graph" src="" />
+    <script src="popup.js"></script>
+</body>
+</html>

popup.js

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+document.addEventListener('DOMContentLoaded', function() {
+  var graph = document.getElementById('graph');
+  var detailsForm = document.getElementById('detailsForm');
+  detailsForm.addEventListener('submit', function(event) {
+    event.preventDefault();
+    var email = detailsForm.email.value;
+    var price = detailsForm.price.value;
+    console.log('Email:', email);
+    console.log('Price:', price);
+  });
+
+  chrome.tabs.query({active: true, currentWindow: true}, function(tabs) {
+    var product_url = tabs[0].url;
+    var xhr = new XMLHttpRequest();
+    xhr.open('GET', 'http://localhost:5000/generate_graph?product_url=' + encodeURIComponent(product_url), true);
+    xhr.responseType = 'blob';
+    xhr.onload = function(e) {
+      if (this.status == 200) {
+        var blob = this.response;
+        var objectURL = URL.createObjectURL(blob);
+        graph.src = objectURL;
+      }
+    };
+    xhr.send();
+  });
+});