Merged fp files

.vscode/launch.json

@@ -0,0 +1,12 @@
+{
+    "configurations": [
+        {
+            "name": "Python: HotdogSimulation",
+            "type": "python",
+            "request": "launch",
+            "program": "simulation/SimulationRunner.py",
+            "justMyCode": true,
+            "args": "./HotdogSimulation.py"
+        }
+    ]
+}

Multiprocessing.py

@@ -0,0 +1,276 @@
+import multiprocessing
+import subprocess
+import concurrent.futures
+from google.cloud import pubsub_v1
+from google.api_core.exceptions import DeadlineExceeded
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+import os
+from concurrent.futures import TimeoutError
+import pandas as pd
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+import selenium.common.exceptions
+import re
+from fp2_14 import get_product_prices
+
+# Define the subset of urls
+url_list = [
+    'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119',
+    'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261',
+    'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467',
+    'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01',
+    'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224',
+    'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02',
+    'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01',
+    'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f',
+    'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353',
+    'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03',
+    'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?trace_id=3c143dd4-4a35-4e8d-93ee-d91f209717e7'
+]
+
+
+# Create a pool of worker processes
+# pool = multiprocessing.Pool(cpu_count)
+
+# Define the function to run the scraper
+def run_scraper(url):
+    # scraping logic
+    df = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
+    print(f"Created a dataframe: {df}")
+    product_id = url.split("/")[-1][:5]
+
+    options = Options()
+    options.add_argument('--disable-gpu')
+    driver = webdriver.Chrome(options=options)
+
+    project_id = "fp-20230425"
+    subscription_name = "fp-subscription-NFL-zipcodes"
+    subscriber = pubsub_v1.SubscriberClient()
+    subscription_path = subscriber.subscription_path(project_id, subscription_name)
+
+    # product_id = url.split("/")[-1]
+    driver.delete_all_cookies
+    driver.get(url)
+
+    def get_element_text(class_name_prefix):  
+        xpath_str = "//*[contains("               # Step 1: search for a class name by matching the beginning of the class name against...
+        xpath_str += "concat(' ', "               # Step 2: a leading space, followed by...
+        xpath_str += "normalize-space(@class), "  # Step 3: the list of class names, separated by single spaces...
+        xpath_str += "' '), "                     # Step 4: a trailing space...
+        xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
+        try:
+            match = driver.find_element(By.XPATH, xpath_str)
+            return match.get_attribute('textContent')
+        except selenium.common.exceptions.NoSuchElementException as nsee:
+            pass
+   
+        xpath_str = "//*[contains("                 # Step 1: search for a class name by matching the beginning of the class name against...
+        xpath_str += "concat(' ', "                 # Step 2: a leading space, followed by...
+        xpath_str += "normalize-space(@class)), "   # Step 3: the list of class names, separated by single spaces...
+        xpath_str += f"' {class_name_prefix}__')]"  # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
+        try:
+            match = driver.find_element(By.XPATH, xpath_str)
+            return match.get_attribute('textContent')
+        except selenium.common.exceptions.NoSuchElementException as nsee:
+            pass
+        return ''
+
+    # Close the cookies setting window
+    try:  
+        cookie_button = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
+        )
+        print(f"cookie_button = {cookie_button}")
+        cookie_button.click()
+    except:
+        pass
+
+    # Clear any modal dialog
+    try:    
+        modal_close = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+        )
+        print(f"modal_close = {modal_close}")
+        modal_close.click()
+    except:
+        pass
+
+    # Define callback function for Pub/Sub messages
+    def callback(message):
+        # Extract zip code from message data
+        zip_code = message.message.data.decode('utf-8')
+
+        print(f"Received zip code: {zip_code}")
+
+        try:
+            try:
+                # Clear any modal dialog
+                modal_close = WebDriverWait(driver, 2).until(
+                EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+            )
+                # print(f"modal_close = {modal_close}")
+                modal_close.click()
+            except:
+                pass
+
+
+            try:
+
+                # Clear any notice
+                notice_close = WebDriverWait(driver, 5).until(
+                EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+                # print(f"notice_close = {notice_close}")
+                notice_close.click()
+            except:
+                pass
+        
+            # Enter zip code in the input field and click the "Check" button
+            zip_button = WebDriverWait(driver, 5).until(
+                EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
+            )
+            # print(f"{zip_button:}")
+            zip_button.click()
+
+            zip_input = WebDriverWait(driver, 2).until(
+                EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
+            )
+            # print(f"{zip_input:}")
+            zip_input.click()
+            # print("clearing zip_input")
+            zip_input.send_keys("\b\b\b\b\b")
+            # print("sending zip code")
+            zip_input.send_keys(zip_code)
+
+            check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+            check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
+            # print(f"{check_button:}")
+            check_button.click()
+            # time.sleep(2)
+
+            try:
+            # Clear any notice
+                notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+                # print(f"notice_close = {notice_close}")
+                notice_close.click()
+            except:
+                pass
+
+            try:
+                # Clear any modal dialog
+                modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+                # print(f"modal_close = {modal_close}")
+                modal_close.click()
+            except:
+                pass
+
+            # Record sales count, if any
+            sales_count_element = get_element_text('Header_count')
+            count_start_index = sales_count_element.index('sold ') + len('sold ')
+            count_end_index = sales_count_element.index('+')
+            sales_count = sales_count_element[count_start_index:count_end_index]
+            # Record any sold status notice
+            sold_status = get_element_text('UnavailableCartbtn_container')
+            if sold_status == 'Notify me':
+                sold_status = 'Sold Out'
+
+        # Extract the price of rice crackers for this zip code
+            # Check if there is a minimum order quantity
+            min_quantity: float = 0
+            total_price: float = 0
+            unit_price: float = 0
+            try:
+                minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(@class, 'minQuantity')]").get_attribute('innerHTML')
+                if minimum_quantity_str:
+                    regexp = "Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
+                    match = re.search(regexp,minimum_quantity_str)
+                    min_quantity, total_price = match.groups()
+            except selenium.common.exceptions.NoSuchElementException as nsee:
+                print("No minimum purhcase string found")
+            except Exception as e:
+                print(f"Exception when finding minimum purchase string: {e}")
+
+            ld_json_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+            ld_json_text = ld_json_element.get_attribute('innerHTML')
+            ld_json_start_index = ld_json_text.index('{')
+            ld_json_end_index = ld_json_text.rindex('}') + 1
+            ld_json_json = ld_json_text[ld_json_start_index:ld_json_end_index]
+            ld_json = json.loads(ld_json_json)
+            ld_json_price = ld_json['offers']['price']
+            # Print the price
+            print(ld_json_price)
+
+            unit_price_element = driver.find_element(By.XPATH,"//div[contains(@class, 'price_price')]").get_attribute('innerText')
+            unit_price = unit_price_element.replace("$", "")
+            print(f"unit_price = {unit_price}" )
+
+            subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path)  # acknowledge receipt of message
+            # Append the zip code and price to the dataframe
+            #append_to_df(zip_code, price)
+            new_row = pd.DataFrame({'Product ID': [product_id], 'Zip Code': [zip_code], 'Shown Price': [ld_json_price], 'Minimum Quantity': [min_quantity], 'Total Price': [total_price], 'Unit Price': [unit_price], 'Sales Count': [sales_count], 'Sold Status': [sold_status]})
+            return pd.concat([df, new_row], ignore_index=True)
+            #print(f"Recorded the zip code and price: {zip_code},{price}")
+            #print(f"Updated a dataframe: {df}")
+
+        except Exception as e:
+            print(f"Caught exception: {e}")
+            print(f"Price not found for zip code {zip_code}")
+            price = 'Price not found'
+            return df
+
+    # Start receiving messages (sync version)
+    while True: 
+        pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
+        messages = []
+        try:
+            pull_response = subscriber.pull(request = pull_request)
+            messages = pull_response.received_messages
+        except DeadlineExceeded:
+            pass
+
+        if messages:
+            df = callback(messages[0])
+            print(f"Updated a dataframe: {df}")
+        else:
+            print(f"no messages, trying again at {time.asctime()}")
+            break
+        # subprocess.call(['python', 'fp2_13.py', url])
+    return df
+
+if __name__ == '__main__':
+    # Determine the number of available CPUs
+    # cpu_count = multiprocessing.cpu_count()
+
+    with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
+        future_to_url = {executor.submit(run_scraper, url): url for url in url_list}
+        results = []
+        for future in concurrent.futures.as_completed(future_to_url):
+            url = future_to_url[future]
+            try:
+                result = future.result()
+                print(f"Scraped data for URL: {url}")
+                results.append(result)
+            except Exception as e:
+                print(f"Failed to scrape data for URL: {url}\nError: {e}")
+
+'''
+# Run the scraper in parallel for the subset of items
+results = pool.map(run_scraper, url_list)
+
+# Close the pool and wait for the processes to finish
+pool.close()
+pool.join()
+'''
+
+with pd.HDFStore('product_data.h5') as store:
+    for url, result in zip(url_list, results):
+        # Extract the product ID from the URL
+        product_id = url.split("/")[-1][:5]
+
+        # Save the dataframe to the HDF5 file with a unique key
+        key = f'df_{product_id}'
+        store[key] = result
+        # result.to_hdf('product_data.h5', key=key, mode='a')

NFL_Cities.csv

@@ -0,0 +1,33 @@
+ID,Team Name,Arena Name,Abbreviation,Conference,Division,Arena Location,ZIP Code
+1,Arizona Cardinals,State Farm Stadium,ARI,NFC,West,"Glendale, Arizona",85305
+2,Atlanta Falcons,Mercedes-Benz Stadium,ATL,NFC,South,"Atlanta, Georgia",30313
+3,Baltimore Ravens,M&T Bank Stadium,BAL,AFC,North,"Baltimore, Maryland",21230
+4,Buffalo Bills,Bills Stadium,BUF,AFC,East,"Orchard Park, New York",14127
+5,Carolina Panthers,Bank of America Stadium,CAR,NFC,South,"Charlotte, North Carolina",28202
+6,Chicago Bears,Soldier Field,CHI,NFC,North,"Chicago, Illinois",60605
+7,Cincinnati Bengals,Paul Brown Stadium,CIN,AFC,North,"Cincinnati, Ohio",45202
+8,Cleveland Browns,First Energy Stadium,CLE,AFC,North,"Cleveland, Ohio",44114
+9,Dallas Cowboys,At&T Stadium,DAL,NFC,East,"Arlington, Texas",76011
+10,Denver Broncos,Empower Field at Mile High,DEN,AFC,West,"Denver, Colorado",80204
+11,Detroit Lions,Ford Field,DET,NFC,North,"Detroit, Michigan",48226
+12,Green Bay Packers,Lambeau Field,GB,NFC,North,"Green Bay, Wisconsin",54304
+13,Houston Texans,NRG Stadium,HOU,AFC,South,"Houston, Texas",77054
+14,Indianapolis Colts,Lucas Oil Stadium,IND,AFC,South,"Indianapolis, Indiana",46225
+15,Jacksonville Jaguars,TIAA Bank Field,JAX,AFC,South,"Jacksonville, Florida",32202
+16,Kansas City Chiefs,Arrowhead Stadium,KC,AFC,West,"Kansas City, Missouri",64129
+17,Las Vegas Raiders,Allegiant Stadium,LV,AFC,West,"Paradise, Nevada",89118
+18,Los Angeles Chargers,SoFi Stadium,LAC,AFC,West,"Inglewood, California",90301
+19,Los Angeles Rams,SoFi Stadium,LAR,NFC,West,"Inglewood, California",90301
+20,Miami Dolphins,Hard Rock Stadium,MIA,AFC,East,"Miami Gardens, Florida",33056
+21,Minnesota Vikings,U.S. Bank Stadium,MIN,NFC,North,"Minneapolis, Minnesota",55415
+22,New England Patriots,Gillette Stadium,NE,AFC,East,"Foxborough, Massachusetts",02035
+23,New Orleans Saints,Mercedes-Benz Superdome,NO,NFC,South,"New Orleans, Louisiana",70112
+24,New York Giants,MetLife Stadium,NYG,NFC,East,"East Rutherford, New Jersey",07073
+25,New York Jets,MetLife Stadium,NYJ,AFC,East,"East Rutherford, New Jersey",07073
+26,Philadelphia Eagles,Lincoln Financial Field,PHI,NFC,East,"Philadelphia, Pennsylvania",19148
+27,Pittsburgh Steelers,Heinz Field,PIT,AFC,North,"Pittsburgh, Pennsylvania",15212
+28,San Francisco 49ers,Levi's Stadium,SF,NFC,West,"Santa Clara, California",95054
+29,Seattle Seahawks,CenturyLink Field,SEA,NFC,West,"Seattle, Washington",98134
+30,Tampa Bay Buccaneers,Raymond James Stadium,TB,NFC,South,"Tampa, Florida",33607
+31,Tennessee Titans,Nissan Stadium,TEN,AFC,South,"Nashville, Tennessee",37213
+32,Washington Redskins,FedExField,WAS,NFC,East,"Landover, Maryland",20785

README.md

@@ -1,6 +1,6 @@
 GTSP Python Bootcamp
 
-This bootcamp is intended for OTP interns with a math and applied analysis
+This bootcamp is intended for OPT interns with a math and applied analysis
 background to get up to speed quickly on how to use Python for practical
 commercial work.  It is not intended for large classes above 2-3 study groups
 of a maximum of 4 students each.
@@ -17,4 +17,27 @@ the focus is on *working results*, not rote memorization.  Homework questions
 are simple enough that they can be reviewed interactively in 1:1 or up to 1:4
 sessions with study groups.
 
+This branch contains a prototype for a retail price scraper for getweee.com.
+To run it, install:
+
+* Python 3.9+,
+* chrome,
+* chromedriver,
+* and the python depedencies:
+
+```
+pip install -r /path/to/requirements.txt
+```
+
+Once those are installed, install the GCP SDK:
+
+https://cloud.google.com/sdk/docs/install
+
+You will also have to log into GCP *twice*, once for the gcloud CLI tools, 
+and again for the GCP SDK libraries:
+
+https://googleapis.dev/python/google-api-core/latest/auth.html
+
+
+
 

Simulation/Simulation.py

@@ -0,0 +1,42 @@
+from abc import ABC, abstractmethod
+
+class Simulation(ABC):
+    @abstractmethod
+    def start(self):
+        "Start the simulated object."
+        pass
+
+    @abstractmethod
+    def tick(self) -> bool:
+        """
+        Simulate one clock tick.
+        Returns:
+            bool: True if the simulation could advance one clock tick, or False if the object is expired.
+        """
+        pass
+
+    @abstractmethod
+    def get_uses(self):
+        """
+        Return the uses of the simulated object.  These are verb strings which are passed to the `use()` method.
+        Returns:
+            tuple: A dict of key-value pairs, where the keys are strings of
+            verbs to be passed to `use`, and the values are strings explaining
+            what the verb does in English.
+        """
+    @abstractmethod
+    def use(self, *args, **kwargs):
+        """
+        Use the simulated object.
+        Args:
+            args (tuple): A tuple of verbs to be used on the object.
+            kwargs (dict): A dictionary of key-value pairs of arguments to the verb(s).
+        Returns:
+            True if the action succeeded, False if the action did not succeed and the object needs to be expired.
+        """
+        pass
+
+    @abstractmethod
+    def stop(self):
+        "Stop the simulated object."
+        pass

Simulation/SimulationRunner.py

@@ -0,0 +1,42 @@
+from importlib import import_module
+import tkinter as tk
+import os
+import sys
+from random import choice
+from time import sleep
+from tkinter import filedialog
+from abc import ABC, abstractmethod
+
+class SimulationRunner:
+    def __init__(self, simulation) -> None:
+        self.simulation = simulation()
+        self.simulation.start()
+        uses = list(self.simulation.get_uses().keys())
+        while self.simulation.tick() and self.simulation.use(choice(uses)):
+            pass
+        self.simulation.stop()
+
+if __name__ == '__main__':
+    if len(sys.argv) == 1:
+        # Create a hidden root window
+        root = tk.Tk()
+        root.withdraw()
+
+        # Open the file chooser dialog
+        file_path = filedialog.askopenfilename()
+        print(f"Selected file: {file_path}")
+    else:
+        file_path = sys.argv[1]
+
+    # Get the python file's directory and filename
+    module_dir, module_file = os.path.split(file_path)
+    # Get the python file's name without any extension
+    module_name, _ = os.path.splitext(module_file)
+
+    # Add the module directory to sys.path so we can import it unqualified
+    sys.path.append(module_dir)
+
+    simulation = import_module(module_name)
+    # Load the simulation module's simulation class, which should be the same
+    # name as the module name.
+    simulationrunner = SimulationRunner(getattr(simulation, module_name))

Task_assignment.ipynb

@@ -0,0 +1,402 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Guide\n",
+    "1. Please write your solutions at the appropriate location **# YOUR CODE HERE**\n",
+    "2. Do not modify other cells"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Numerical or binary attributes\n",
+    "num_or_bin= ['Income', 'Kidhome','Recency', 'MntWines', 'MntFruits', 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts','MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
+    "       'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth','AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1','AcceptedCmp2']\n",
+    "\n",
+    "# Categorical attributes\n",
+    "cat = ['Education','Marital_Status']\n",
+    "\n",
+    "# Load the data source\n",
+    "pd.set_option('display.max_columns', None)\n",
+    "df  = pd.read_csv(\"https://raw.githubusercontent.com/rpi-techfundamentals/website_fall_2021/master/site/public/marketing_campaign.csv\", delimiter='\\t')\n",
+    "df.head()"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Q1. Load and preprocess the data.\n",
+    "Build and transform your dataframe `df` using the following steps before modeling. Create a new dataframe `X` that has the following properties:\n",
+    "\n",
+    "1. It should include only the columns from lists `num_or_bin` and `cat` (in the code above).\n",
+    "2. Variables in cat should be transformed to `n-1` dummy variables (where `n` is the number of categories for each variable.)\n",
+    "3. Missing variables in the `Income` table should be filled with the median of the `income` table.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raise NotImplementedError()\n",
+    "# YOUR CODE HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Answer\n",
+    "'''\n",
+    "all_cols=num_or_bin+cat\n",
+    "X=pd.get_dummies(df[all_cols],columns=cat,drop_first=True)\n",
+    "X.loc[X['Income'].isnull(),'Income']=X['Income'].median()\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 1 Test Cell \n",
+    "#this tests the columns. \n",
+    "ecol = set(['Income', 'Kidhome', 'Recency', 'MntWines', 'MntFruits',\n",
+    "       'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n",
+    "       'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
+    "       'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n",
+    "       'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n",
+    "       'AcceptedCmp2', 'Education_Basic', 'Education_Graduation',\n",
+    "       'Education_Master', 'Education_PhD', 'Marital_Status_Alone',\n",
+    "       'Marital_Status_Divorced', 'Marital_Status_Married',\n",
+    "       'Marital_Status_Single', 'Marital_Status_Together',\n",
+    "       'Marital_Status_Widow', 'Marital_Status_YOLO'])\n",
+    "assert len(ecol-set(X.columns))==0\n",
+    "assert len(set(X.columns))-len(ecol)==0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 2 Test Cell \n",
+    "#this tests the columns. \n",
+    "assert X.shape==(2240, 30)\n",
+    "q2=X.copy()\n",
+    "q2['Response']=df['Response']\n",
+    "q2['Year_Birth']=df['Year_Birth']\n",
+    "q2['Dt_Customer']=df['Dt_Customer']\n",
+    "q2.to_csv('q2.csv',index=False)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 3 Test Cell \n",
+    "assert len(X.loc[X['Income']==51381.5,'Income'])==24"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 4 Test Cell\n",
+    "assert X.isnull().sum().sum()==0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Reload data\n",
+    "import pandas as pd\n",
+    "df_cl=pd.read_csv('q2.csv')"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Q2. Feature Creation.\n",
+    "1. In the `df_cl` dataframe, create an integer feature `age` which is `2021` minus `Year_Birth`.\n",
+    "2. In the `df_cl` dataframe, create an integer feature `holiday` which is 1 if the month of `Dt_Customer` is equal to 12 and 0 otherwise. You can get the month by accessing `mm` from the date format `dd-mm-yyyy`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raise NotImplementedError()\n",
+    "# YOUR CODE HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Answer\n",
+    "'''\n",
+    "df_cl['age']=(2021-df_cl['Year_Birth']).astype(int)\n",
+    "df_cl['Dt_Customer_tmp']=df_cl['Dt_Customer'].apply(lambda x:x[3:5])\n",
+    "df_cl.loc[df_cl['Dt_Customer_tmp']=='12','holiday']=1\n",
+    "df_cl.loc[df_cl['Dt_Customer_tmp']!='12','holiday']=0\n",
+    "df_cl['holiday']=df_cl['holiday'].astype(int)\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 5 Test Cell\n",
+    "assert df_cl['age'].sum()==116915"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 6 Test Cell\n",
+    "import numpy as np\n",
+    "assert isinstance(df_cl['age'][0], (np.int64,np.int32))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 7 Test Cell\n",
+    "assert df_cl['holiday'].sum()==175"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 8 Test Cell\n",
+    "import numpy as np\n",
+    "assert isinstance(df_cl['holiday'][0], (np.int64,np.int32))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "df_cl2=pd.read_csv('dfcl2.csv')\n",
+    "y_reload=df_cl2['Response']\n",
+    "X_reload=df_cl2.drop(['Response'], axis=1)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Q3. Train Test Split\n",
+    "Now split the data `X_reload`, `y_reload` intro training (50%) and testing data (50%) by using these variable names while making sure there are Make sure that there are equal number of positive cases (1's) in the train and the test set.\n",
+    "\n",
+    "`X_train`: Training feature columns\n",
+    "`X_test`: Testing feature columns\n",
+    "`y_train`: Training DV\n",
+    "`y_test`: Testing DV\n",
+    "\n",
+    "When doing so set the `random_state` parameter to 100 so you get the same split that is in the solution."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raise NotImplementedError()\n",
+    "# YOUR CODE HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Answer\n",
+    "'''\n",
+    "y_reload=df_cl2['Response']\n",
+    "X_reload=df_cl2.drop(['Response'], axis=1)\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "X_train,X_test,y_train,y_test=train_test_split(X_reload,y_reload,\n",
+    "                                               train_size=0.5,\n",
+    "                                               test_size=0.5,\n",
+    "                                               random_state=100,\n",
+    "                                               stratify=y_reload)\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 9 Test Cell\n",
+    "assert X_train.shape==(1120, 31)\n",
+    "assert X_test.shape==(1120, 31)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 10 Test Cell\n",
+    "assert  y_train.sum()==y_test.sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "df_cl2=pd.read_csv('dfcl2.csv')\n",
+    "y_reload=df_cl2['Response']\n",
+    "X_reload=df_cl2.drop(['Response'], axis=1)\n",
+    "\n",
+    "X_train2, X_test2, y_train2, y_test2 = train_test_split(X_reload, y_reload, test_size=0.3, random_state = 100)"
+   ]
+  },
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Q4. Classification\n",
+    "Use `X_train2`, `X_test2`, `y_train2`, `y_test2` from above. Use a Gradient Boosting classifier (as instantiated below).\n",
+    "\n",
+    "Please calculate:\n",
+    "1. `test_acc` The accuracy of the classifier on the test set.\n",
+    "2. `test_roc` The area under the ROC curve on on the test set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn import metrics\n",
+    "from sklearn.ensemble import GradientBoostingClassifier\n",
+    "#use this classifier\n",
+    "classifier = GradientBoostingClassifier(n_estimators=100, learning_rate=1.0, max_depth=1, random_state=0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "raise NotImplementedError()\n",
+    "# YOUR CODE HERE"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Answer\n",
+    "'''\n",
+    "classifier.fit(X_train2,y_train2)\n",
+    "test_y_pred=classifier.predict(X_test2)\n",
+    "test_y_pred_prob=classifier.predict_proba(X_test2)[:,1]\n",
+    "test_acc=metrics.accuracy_score(y_test2,test_y_pred)\n",
+    "test_roc=metrics.roc_auc_score(y_test2,test_y_pred_prob)\n",
+    "'''"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 11 Test Cell\n",
+    "assert round(test_acc,3)==0.860"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Please do not modify/delete this cell\n",
+    "# 12 Test Cell\n",
+    "assert round(test_roc,3)==0.846"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

View_h5_file.py

@@ -0,0 +1,74 @@
+import h5py
+import pandas as pd
+import numpy as np
+import plotly.graph_objects as go
+
+f = h5py.File('product1.h5','r')
+list(f.keys())
+for key in f.keys():
+    print(f[key])
+    df = pd.read_hdf('product1.h5', key='df')
+    df = df._append(pd.read_hdf('product1.h5', key))
+    # print(f[key].shape)
+    # print(f[key].value)
+# df = pd.read_hdf('product1.h5', key='df7')
+print(df)
+'''
+# Open the HDF5 file
+with h5py.File('product1.h5', 'r') as file:
+    dataframes=pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])  
+    for key in file.keys():
+        # Read the dataframe from the HDF5 file
+        dataframe = pd.read_hdf('product1.h5', key)
+
+        # Append the dataframe to the list
+        dataframes._append(dataframe)
+
+# Print the number of dataframes read from the HDF5 file
+print(f"Read {len(dataframes)} dataframes from the HDF5 file")
+
+item_std_devs = {}
+for dataframe in dataframes:
+    item_name = dataframe['Product ID'].iloc[0]
+    std_dev = np.std(dataframe['Unit Price'])
+    item_std_devs[item_name] = std_dev
+
+# Print the item names and their corresponding standard deviations
+for item_name, std_dev in item_std_devs.items():
+    print(f"Item: {item_name}, Std Dev: {std_dev}")
+
+# Prepare the data for the graph
+x = list(item_std_devs.keys())
+y = list(item_std_devs.values())
+
+# Create a bar graph
+fig = go.Figure(data=[go.Bar(x=x, y=y)])
+
+# Customize the graph
+fig.update_layout(
+    title="Standard Deviation of Pricing for Each Item",
+    xaxis_title="Item",
+    yaxis_title="Standard Deviation",
+)
+
+# Save the graph as an HTML file
+report_file = 'test2.html'
+fig.write_html(report_file)
+
+
+
+'''
+'''
+# Calculate the standard deviation using pandas' function
+std_dev_unit = df.groupby('Product ID')['Unit Price'].std()
+std_dev_displayed = df.groupby('Zip Code')['Shown Price'].std()
+
+# Generate the graph using Plotly
+fig = go.Figure()
+fig.add_trace(go.Bar(x=std_dev_unit.index, y=std_dev_unit.values))
+fig.update_layout(title='Standard Deviation of the Unit Pricing by Item', xaxis_title='Product ID', yaxis_title='Standard Deviation')
+
+report_file = 'test2.html'
+fig.write_html(report_file)
+'''
+

assessment1.py

@@ -0,0 +1,81 @@
+'''
+class Vault:
+    def __init__(self):
+        self._treasure = "gold"
+        self._attributes = dict(self.__dict__)
+        
+    def __setattr__(self, name, value):
+        if name != "_attributes" and name not in self._attributes:
+            print("attribute deleted!")
+        self._attributes[name] = value
+        super().__setattr__("_attributes", dict(self.__dict__))
+        
+    @property
+    def treasure(self):
+        if self.__dict__ != self._attributes:
+            print("attribute deleted!")
+        return self._treasure
+
+v=Vault()
+print(v.treasure)
+'''
+'''
+class Vault:
+    def __init__(self):
+        self._treasure = "gold"
+        self._original_dict = dict(self.__dict__)
+
+    def __setattr__(self, name, value):
+        if name != "_treasure" and name in self.__dict__ and self._original_dict.get(name) != value:
+            print("attribute deleted!")
+        self.__dict__[name] = value
+
+    @property
+    def treasure(self):
+        if self.__dict__ != self._original_dict:
+            print("attribute deleted!")
+        return self._treasure
+v = Vault()
+print(v.treasure)
+'''
+'''
+class Vault:
+    def __init__(self):
+        self._treasure = "gold"
+        self._attributes = dict(self.__dict__)
+
+    def __setattr__(self, name, value):
+        if name != "_attributes" and name not in self._attributes:
+            print("attribute deleted!")
+        self._attributes[name] = value
+        super().__setattr__("_attributes", dict(self.__dict__))
+
+    @property
+    def treasure(self):
+        if self.__dict__ != self._attributes:
+            print("attribute deleted!")
+        return self._treasure
+
+v = Vault()
+print(v.treasure)
+'''
+
+class Vault:
+    def __init__(self):
+        self._treasure = "gold"
+
+    def __setattr__(self, name, value):
+        if name != "_attributes" and name not in self.__dict__:
+            print("attribute deleted!")
+        self.__dict__[name] = value
+        self._attributes = dict(self.__dict__)
+
+    @property
+    def treasure(self):
+        if self.__dict__ != self._attributes:
+            print("attribute deleted!")
+        return self._treasure
+
+v = Vault()
+print(v.treasure)
+

assessment2.py

@@ -0,0 +1,47 @@
+import importlib.util
+import os
+
+def get_module_size(module_name):
+    """Get the total number of bytes in the cached .pyc file or .py file of a module or package.
+
+    Args:
+        module_name (str): The name of the module or package.
+
+    Returns:
+        int: The total number of bytes in the cached .pyc file or .py file.
+    """
+    spec = importlib.util.find_spec(module_name)
+
+    if spec is not None and spec.has_location:
+        # If the module is found and has a location, check for .pyc file first
+        pyc_file_path = spec.origin + 'c'
+        if os.path.exists(pyc_file_path):
+            return os.stat(pyc_file_path).st_size
+        else:
+            # If .pyc file doesn't exist, check for .py file
+            py_file_path = spec.origin
+            if os.path.exists(py_file_path):
+                return os.stat(py_file_path).st_size
+
+    return 0  # Return 0 if no .pyc or .py file found
+
+
+import sys
+
+def get_total_module_size():
+    """Get the total number of bytes for all modules listed in sys.modules.
+
+    Returns:
+        int: The total number of bytes for all modules.
+    """
+    total_size = 0
+    for module_name in sys.modules:
+        module_size = get_module_size(module_name)
+        total_size += module_size
+
+    return total_size
+
+if __name__ == '__main__' and __package__ is None:
+    __spec__ = importlib.util.spec_from_file_location('__main__', __file__)
+total_size = get_total_module_size()
+print("Total size of all modules in sys.modules: {} bytes".format(total_size))

fp1.py

@@ -0,0 +1,65 @@
+from google.cloud import pubsub_v1
+from google.oauth2 import service_account
+import os
+import asyncio
+
+os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+project_id = "fp-20230425"
+
+'''
+topic_name = "fp-topic-Karen"
+subscription_name = "fp-subscription-Karen"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = f"projects/{project_id}/subscriptions/{subscription_name}"
+subscriber.delete_subscription(request={"subscription": subscription_path})
+print("Subscription deleted: {}".format(subscription_path))
+
+# Delete the topic
+publisher = pubsub_v1.PublisherClient()
+topic_path = publisher.topic_path(project_id, topic_name)
+publisher.delete_topic(request={"topic": topic_path})
+print(f"Topic '{topic_name}' deleted.")
+
+subscription_name = "fp-subscription-Karen"
+subscription_path = f"projects/{project_id}/subscriptions/{subscription_name}"
+
+
+'''
+# Create a pubsub topic
+publisher = pubsub_v1.PublisherClient()
+topic_name = "fp-topic-Karen"
+topic_path = publisher.topic_path(project_id, topic_name)
+topic = publisher.create_topic(request={"name": topic_path})
+
+
+# Create a Pub/Sub subscription
+subscriber = pubsub_v1.SubscriberClient()
+subscription_name = "fp-subscription-Karen"
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+subscription = subscriber.create_subscription(
+    name=subscription_path, topic=topic_path
+)
+
+# Publish a message to the topic
+message = b"Hello!"
+publisher.publish(topic_path, data=message)
+print("Message published.")
+
+
+async def receive_messages():
+    response = subscriber.pull(subscription=subscription_path, max_messages=1)
+    for received_message in response.received_messages:
+        print("Received message: {}".format(received_message.message.data))
+       
+    
+asyncio.run(receive_messages())
+
+
+'''
+# Pull the message from the subscription
+response = subscriber.pull(subscription=subscription_path, max_messages=1)
+for received_message in response.received_messages:
+    print("Received message: {}".format(received_message.message.data))
+    # Acknowledge the message to mark it as processed
+    subscriber.acknowledge(subscription_path, [received_message.ack_id])
+'''

fp2.py

@@ -0,0 +1,10 @@
+import http.client
+
+# The product ID for the Pete-and-Gerry's organic large brown egges is 65902
+conn = http.client.HTTPSConnection("www.sayweee.com")
+payload = ''
+headers = {}
+conn.request("GET", "/en/product/Pete-and-Gerry-s-Organic-Large-Brown-Eggs/65902?category=dairy02", payload, headers)
+res = conn.getresponse()
+data = res.read()
+print(data.decode("utf-8"))

fp2_10.py

@@ -0,0 +1,67 @@
+from google.cloud import pubsub_v1
+from google.api_core.exceptions import DeadlineExceeded
+import csv
+import os
+import asyncio
+
+# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+project_id = "fp-20230425"
+# project_id = "svig-384801"
+
+'''
+topic_name = "fp-topic-NFL-zipcodes"
+subscription_name = "fp-subscription-NFL-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = f"projects/{project_id}/subscriptions/{subscription_name}"
+subscriber.delete_subscription(request={"subscription": subscription_path})
+print("Subscription deleted: {}".format(subscription_path))
+
+# Delete the topic
+publisher = pubsub_v1.PublisherClient()
+topic_path = publisher.topic_path(project_id, topic_name)
+publisher.delete_topic(request={"topic": topic_path})
+print(f"Topic '{topic_name}' deleted.")
+
+
+
+'''
+# pubsub topic
+publisher = pubsub_v1.PublisherClient()
+topic_name = "fp-topic-NFL-zipcodes"
+topic_path = publisher.topic_path(project_id, topic_name)
+
+# Create a Pub/Sub subscription
+subscriber = pubsub_v1.SubscriberClient()
+'''
+subscription_name = "fp-subscription-zipcodes"
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+subscription = subscriber.create_subscription(
+    name=subscription_path, topic=topic_path
+)
+'''
+# Publish a message to the topic
+# Read the data from the csv file
+# file_path = "C:/Users/Karen/Desktop/zipcodes.csv"
+file_path = "zipcodes.csv"
+
+with open(file_path, "r") as csv_file:
+    reader = csv.reader(csv_file)
+    next(reader)  # skip header row
+    for row in reader:
+        # Format the data as a string and publish it to the topic
+        data = ",".join(row).encode("utf-8")
+        try:
+            future = publisher.publish(topic_path, data)
+            print(f"Published message ID {future.result()}")
+        except DeadlineExceeded as de:
+            print(f"Caught DeadlineExceeded exception: {de}")
+
+'''
+async def receive_messages():
+    response = subscriber.pull(subscription=subscription_path, max_messages=1)
+    for received_message in response.received_messages:
+        print("Received message: {}".format(received_message.message.data))
+       
+    
+asyncio.run(receive_messages())
+'''

fp2_11.py

@@ -0,0 +1,372 @@
+from google.cloud import pubsub_v1
+from google.api_core.exceptions import DeadlineExceeded
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.support.wait import WebDriverWait
+from selenium.webdriver.common.by import By
+from selenium.webdriver.common.keys import Keys
+import selenium.common.exceptions
+import json
+import time
+import os
+import re
+import sys
+from concurrent.futures import TimeoutError
+import pandas as pd
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+
+# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+
+# Create an empty dataframe to store the prices
+df = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Displayed Price', 'ld+json Price', 'Minimum Quantity', 'Total Price', 'Sales Count', 'Sold Status'])
+print(f"Created a dataframe: {df}")
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Set up Pub/Sub subscription
+project_id = "fp-20230425"
+subscription_name = "fp-subscription-NFL-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+
+# Load the product page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+product_id = url.split("/")[-1]
+driver.delete_all_cookies
+driver.get(url)
+# time.sleep(5)
+
+# time.sleep(2)
+# Close the cookies setting window
+try:  
+    # cookie_button = driver.find_element(By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button")
+    cookie_button = WebDriverWait(driver, 2).until(
+        EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
+    )
+    print(f"cookie_button = {cookie_button}")
+    cookie_button.click()
+except:
+    pass
+
+# time.sleep(1)
+# Clear any modal dialog
+try:    
+    # modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+    modal_close = WebDriverWait(driver, 2).until(
+        EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+    )
+    print(f"modal_close = {modal_close}")
+    modal_close.click()
+    #time.sleep(2)
+except:
+    pass
+
+
+def close_modals():
+    try:
+        # time.sleep(2)
+        # Clear any modal dialog
+        modal_close_buttons = driver.find_elements(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+        print(f"modal_close = {modal_close}")
+        for button in modal_close_buttons:
+            try:
+                button.click()
+            except Exception as e:
+                print(f"Exception when clicking on close button for element {button}: {e}")
+
+        # time.sleep(2)
+    except Exception as e:
+        print(f"Exception when trying to close discount modal dialog: {e}")
+
+
+    try:
+        # time.sleep(1)
+        # Clear any notice
+        notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+        print(f"notice_close = {notice_close}")
+        notice_close.click()
+        # time.sleep(1)
+    except selenium.common.exceptions.NoSuchElementException as nsee:
+        print("Purchase option change dialog close button not found")
+    except Exception as e:
+        print(f"Exception when trying to close purchase option change dialog: {e}")
+
+def get_element_text(class_name_prefix):
+    '''
+    Return the text in the first element with a given class name.
+
+    Note that XPath doesn't have a function to check if a given word is present
+    in a list of words, so using contains() will match a class name even if
+    the class name is a substring of the class name being matched against.
+    To prevent this, we use spaces as a delimiter at the beginning and end of
+    the class name, and ensure there's only one space before and after all
+    class names in the class name list.
+
+    Example: consider two class names with cache-busting suffixes:
+      * Header_soldStatusNotice__12345
+      * Header_soldStatusNoticeBackground__ABCDE
+
+    Matching against Header_soldStatusNotice using a naive implementation with
+    `contains()` would match both class names, even though only the first one
+    is the correct match. 
+    '''
+    # Construct xpath selector.  
+    xpath_str = "//*[contains("               # Step 1: search for a class name by matching the beginning of the class name against...
+    xpath_str += "concat(' ', "               # Step 2: a leading space, followed by...
+    xpath_str += "normalize-space(@class), "  # Step 3: the list of class names, separated by single spaces...
+    xpath_str += "' '), "                     # Step 4: a trailing space...
+    xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
+    try:
+        match = driver.find_element(By.XPATH, xpath_str)
+        return match.get_attribute('textContent')
+    except selenium.common.exceptions.NoSuchElementException as nsee:
+        pass
+
+    # We didn't find a match, try again by doing a prefix match and assume
+    # the full class name ends with two underscores followed by a cache-
+    # busting string.    
+    xpath_str = "//*[contains("                 # Step 1: search for a class name by matching the beginning of the class name against...
+    xpath_str += "concat(' ', "                 # Step 2: a leading space, followed by...
+    xpath_str += "normalize-space(@class)), "   # Step 3: the list of class names, separated by single spaces...
+    xpath_str += f"' {class_name_prefix}__')]"  # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
+    try:
+        match = driver.find_element(By.XPATH, xpath_str)
+        return match.get_attribute('textContent')
+    except selenium.common.exceptions.NoSuchElementException as nsee:
+        pass
+
+    # No match, return empty string.
+    return ''
+
+def callback(message):
+    '''
+    Callback function for Pub/Sub messages
+    '''
+    # Extract zip code from message data
+    zip_code = message.message.data.decode('utf-8')
+
+    print(f"Received zip code: {zip_code}")
+
+    while True:
+        try:
+            # Enter zip code in the input field and click the "Check" button
+            WebDriverWait(driver, 2).until(lambda d: d.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
+            zip_button = driver.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]')
+            # print(f"{zip_button:}")
+            zip_button.click()
+            # time.sleep(1)
+
+            WebDriverWait(driver, 2).until(lambda d: d.find_element(By.XPATH, '//div/label/following-sibling::input'))
+            zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
+            # print(f"{zip_input:}")
+            zip_input.click()
+            # print("clearing zip_input")
+            zip_input.send_keys("\b\b\b\b\b\b\b\b\b\b")
+            for i in range(1,10):
+                zip_input.send_keys(Keys.DELETE)
+            # print("sending zip code")
+            zip_input.send_keys(zip_code)
+
+            WebDriverWait(driver, 2).until(lambda d: d.find_element(By.XPATH, "//button[text() = 'Confirm']"))
+            check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+            print(f"{check_button:}")
+            check_button.click()
+            # time.sleep(2)
+            break
+        except Exception as e:
+            print(f"Exception when changing zip code: {e}, trying to close modal dialogs")
+            close_modals()
+
+        # try:
+        #     time.sleep(2)
+        #     # Clear any notice
+        #     notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+        #     print(f"notice_close = {notice_close}")
+        #     notice_close.click()
+        #     time.sleep(2)
+        # except:
+        #     pass
+
+    try:
+        try:
+            # time.sleep(2)
+            # Clear any modal dialog
+            # modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+            modal_close = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+        )
+            print(f"modal_close = {modal_close}")
+            modal_close.click()
+            # time.sleep(2)
+        except:
+            pass
+
+
+        try:
+            # time.sleep(1)
+            # Clear any notice
+            # notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+            notice_close = WebDriverWait(driver, 5).until(
+            EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button"))
+        )
+            print(f"notice_close = {notice_close}")
+            notice_close.click()
+            # time.sleep(1)
+        except:
+            pass
+        
+        # Enter zip code in the input field and click the "Check" button
+        # zip_button = driver.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]')
+        zip_button = WebDriverWait(driver, 5).until(
+            EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
+        )
+        # print(f"{zip_button:}")
+        zip_button.click()
+        # time.sleep(1)
+
+        # zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
+        zip_input = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
+        )
+        # print(f"{zip_input:}")
+        zip_input.click()
+        # print("clearing zip_input")
+        zip_input.send_keys("\b\b\b\b\b")
+        # print("sending zip code")
+        zip_input.send_keys(zip_code)
+
+        check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+        check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
+        # print(f"{check_button:}")
+        check_button.click()
+        # time.sleep(2)
+
+        try:
+            # time.sleep(2)
+            # Clear any notice
+            # notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+            notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+            #time.sleep(2)
+        except:
+            pass
+
+        try:
+            # Clear any modal dialog
+            modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+        except:
+            pass
+
+        # Record sales count, if any
+        sales_count = get_element_text('Header_count')
+        # Record any sold status notice
+        sold_status = get_element_text('soldStatusNotice')
+
+        # Check if there's a minimum order quantity
+        min_quantity: float = 0
+        total_price: float = 0
+        try:
+            minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(concat(' ', normalize-space(@class), ' '), ' minQuantity ')]").get_attribute('innerHTML')
+            if minimum_quantity_str:
+                regexp="Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
+                match = re.search(regexp, minimum_quantity_str)
+                min_quantity, total_price = match.groups()
+
+        except selenium.common.exceptions.NoSuchElementException as nsee:
+            print("No minimum purchase string found")
+        except Exception as e:
+            print(f"Exception when finding minimum purchase string: {e}")
+
+        # Get the price as displayed on the web page
+        displayed_price = driver.find_element(By.XPATH, "//div[contains(concat(' ', normalize-space(@class), ' '), ' price_price ')]").get_attribute('innerText').replace('$', '')
+        print(f"displayed_price = {displayed_price}")
+
+        # Extract the price of rice crackers for this zip code     
+        '''
+        price_element = driver.find_element(By.XPATH, '/html/body/div[2]/div/div[1]/div[1]/div/div/div[2]/div[2]/div[1]/div[4]/div[1]/div')
+        price = price_element.text.strip()[1:]
+        print(price)
+        '''
+
+        # Get the price from the ld+json element
+        ld_json_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+        ld_json_text = ld_json_element.get_attribute('innerHTML')
+        ld_json_start_index = ld_json_text.index('{')
+        ld_json_end_index = ld_json_text.rindex('}') + 1
+        ld_json_json = ld_json_text[ld_json_start_index:ld_json_end_index]
+        ld_json = json.loads(ld_json_json)
+        ld_json_price = ld_json['offers']['price']
+        # Print the price
+        print(f"ld_json_price = {ld_json_price}")
+
+        subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path)  # acknowledge receipt of message
+        # Append the zip code and price to the dataframe
+        #append_to_df(zip_code, price)
+        new_row = pd.DataFrame({'Product ID': [product_id],
+            'Zip Code': [zip_code],
+            'Displayed Price': [displayed_price],
+            'ld+json Price': [ld_json_price],
+            'Minimum Quantity': [min_quantity],
+            'Total Price': [total_price],
+            'Sales Count': [sales_count],
+            'Sold Status': [sold_status]})
+        return pd.concat([df, new_row], ignore_index=True)
+        #print(f"Recorded the zip code and price: {zip_code},{price}")
+        #print(f"Updated a dataframe: {df}")
+
+    except Exception as e:
+        print(f"Caught exception {type(e)}: {e}")
+        print(f"Price not found for zip code {zip_code}")
+        price = 'Price not found'
+        return df
+
+# Start receiving messages (sync version)
+while True: 
+    pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
+    messages = []
+    try:
+        pull_response = subscriber.pull(request = pull_request)
+        messages = pull_response.received_messages
+    except DeadlineExceeded:
+        pass
+
+    if messages:
+        df = callback(messages[0])
+        print(f"Updated a dataframe: {df}")
+        df.to_hdf('product1.h5', key='df',mode='w')
+    else:
+        print(f"No messages in subscription {subscription_path} at {time.asctime()}, trying again...")
+        continue
+
+# Open the HDF5 file in a separate window
+if sys.platform.startswith("win32"):
+    os.startfile('product1.h5')
+
+# Start receiving messages (async version)
+#flow_control = pubsub_v1.types.FlowControl(max_messages = 1)
+#streaming_pull_future = subscriber.subscribe(subscription_path, 
+#    callback=callback, 
+#    flow_control=flow_control)
+
+# print(f'Started receiving messages from subscription {subscription_path}...')
+
+# Wrap subscriber in a 'with' block to automatically call close() when done.
+# with subscriber:
+#    try:
+        # When `timeout` is not set, result() will block indefinitely,
+        # unless an exception is encountered first.
+#        streaming_pull_future.result(timeout=timeout)
+#    except TimeoutError:
+#        streaming_pull_future.cancel()  # Trigger the shutdown.
+#        streaming_pull_future.result()  # Block until the shutdown is complete.
+
+# Keep the script running indefinitely to continue receiving messages
+#while True:
+#    time.sleep(10)

fp2_12.py

@@ -0,0 +1,199 @@
+from google.cloud import pubsub_v1
+from google.api_core.exceptions import DeadlineExceeded
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+from concurrent.futures import TimeoutError
+import pandas as pd
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+
+# Create an empty dataframe to store the prices
+df = pd.DataFrame(columns=['Zip Code', 'Price'])
+print(f"Created a dataframe: {df}")
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Set up Pub/Sub subscription
+project_id = "fp-20230425"
+subscription_name = "fp-subscription-NFL-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+
+# Load the product page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+driver.delete_all_cookies
+driver.get(url)
+# time.sleep(5)
+
+# time.sleep(2)
+# Close the cookies setting window
+try:  
+    # cookie_button = driver.find_element(By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button")
+    cookie_button = WebDriverWait(driver, 2).until(
+        EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
+    )
+    print(f"cookie_button = {cookie_button}")
+    cookie_button.click()
+except:
+    pass
+
+# time.sleep(1)
+# Clear any modal dialog
+try:    
+    # modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+    modal_close = WebDriverWait(driver, 2).until(
+        EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+    )
+    print(f"modal_close = {modal_close}")
+    modal_close.click()
+    #time.sleep(2)
+except:
+    pass
+
+# Define callback function for Pub/Sub messages
+def callback(message):
+    # Extract zip code from message data
+    zip_code = message.message.data.decode('utf-8')
+
+    print(f"Received zip code: {zip_code}")
+
+    try:
+        try:
+            # time.sleep(2)
+            # Clear any modal dialog
+            # modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+            modal_close = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+        )
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+            # time.sleep(2)
+        except:
+            pass
+
+
+        try:
+            # time.sleep(1)
+            # Clear any notice
+            # notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+            notice_close = WebDriverWait(driver, 5).until(
+            EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button"))
+        )
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+            # time.sleep(1)
+        except:
+            pass
+        
+        # Enter zip code in the input field and click the "Check" button
+        # zip_button = driver.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]')
+        zip_button = WebDriverWait(driver, 5).until(
+            EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
+        )
+        # print(f"{zip_button:}")
+        zip_button.click()
+        # time.sleep(1)
+
+        # zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
+        zip_input = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
+        )
+        # print(f"{zip_input:}")
+        zip_input.click()
+        # print("clearing zip_input")
+        zip_input.send_keys("\b\b\b\b\b")
+        # print("sending zip code")
+        zip_input.send_keys(zip_code)
+
+        check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+        check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
+        # print(f"{check_button:}")
+        check_button.click()
+        # time.sleep(2)
+
+        try:
+            # time.sleep(2)
+            # Clear any notice
+            # notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+            notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+            #time.sleep(2)
+        except:
+            pass
+
+
+    # Extract the price of rice crackers for this zip code
+        
+        # next_data_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+        next_data_element = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, '//*[@id="__next"]/div/div[1]/div[1]/div/div/div[2]/div[2]/div[1]/div[4]/div[1]/div')))
+        next_data_text = next_data_element.get_attribute('nodeValue')
+        price = next_data_text.text
+        '''
+        next_data_text = next_data_element.get_attribute('innerHTML')
+        next_data_start_index = next_data_text.index('{')
+        next_data_end_index = next_data_text.rindex('}') + 1
+        next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+        next_data = json.loads(next_data_json)
+        price = next_data['price']
+        '''
+        # Print the price
+        print(price)
+
+        '''
+        try:
+            min_quantity_element = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, '//script[@id="__NEXT_DATA__"]')))
+            min_quantity_text = min_quantity_element.get_attribute('innerHTML')
+            min_quantity_start_index = min_quantity_text.index('{')
+            min_quantity_end_index = min_quantity_text.rindex('}') + 1
+            min_quantity_json = min_quantity_text[min_quantity_start_index:min_quantity_end_index]
+            min_quantity = json.loads(min_quantity_json)
+            price = min_quantity['product']['price']
+        except:
+            next_data_element = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//script[@type='application/ld+json']")))
+            next_data_text = next_data_element.get_attribute('innerHTML')
+            next_data_start_index = next_data_text.index('{')
+            next_data_end_index = next_data_text.rindex('}') + 1
+            next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+            next_data = json.loads(next_data_json)        
+            price = next_data['offers']['price']
+        finally:
+            # Print the price
+            print(price)
+        '''
+
+        subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path)  # acknowledge receipt of message
+        # Append the zip code and price to the dataframe
+        #append_to_df(zip_code, price)
+        new_row = pd.DataFrame({'Zip Code': [zip_code], 'Price': [price]})
+        return pd.concat([df, new_row], ignore_index=True)
+        #print(f"Recorded the zip code and price: {zip_code},{price}")
+        #print(f"Updated a dataframe: {df}")
+
+    except Exception as e:
+        print(f"Caught exception: {e}")
+        print(f"Price not found for zip code {zip_code}")
+        price = 'Price not found'
+        return df
+
+# Start receiving messages (sync version)
+while True: 
+    pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
+    messages = []
+    try:
+        pull_response = subscriber.pull(request = pull_request)
+        messages = pull_response.received_messages
+    except DeadlineExceeded:
+        pass
+
+    if messages:
+        df = callback(messages[0])
+        print(f"Updated a dataframe: {df}")
+    else:
+        print(f"no messages, trying again at {time.asctime()}")

fp2_13.py

@@ -0,0 +1,271 @@
+from google.cloud import pubsub_v1
+from google.api_core.exceptions import DeadlineExceeded
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+import os
+from concurrent.futures import TimeoutError
+import pandas as pd
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+import selenium.common.exceptions
+import re
+
+# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+
+# Create an empty dataframe to store the prices
+df = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
+print(f"Created a dataframe: {df}")
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Set up Pub/Sub subscription
+project_id = "fp-20230425"
+subscription_name = "fp-subscription-NFL-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+
+# Load the product page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f'
+product_id = url.split("/")[-1][:5]
+# product_id = url.split("/")[-1]
+driver.delete_all_cookies
+driver.get(url)
+# time.sleep(5)
+
+def get_element_text(class_name_prefix):
+    '''
+    Return the text in the first element with a given class name.
+
+    Note that XPath doesn't have a function to check if a given word is present
+    in a list of words, so using contains() will match a class name even if
+    the class name is a substring of the class name being matched against.
+    To prevent this, we use spaces as a delimiter at the beginning and end of
+    the class name, and ensure there's only one space before and after all
+    class names in the class name list.
+
+    Example: consider two class names with cache-busting suffixes:
+      * Header_soldStatusNotice__12345
+      * Header_soldStatusNoticeBackground__ABCDE
+
+    Matching against Header_soldStatusNotice using a naive implementation with
+    `contains()` would match both class names, even though only the first one
+    is the correct match. 
+    '''
+    # Construct xpath selector.  
+    xpath_str = "//*[contains("               # Step 1: search for a class name by matching the beginning of the class name against...
+    xpath_str += "concat(' ', "               # Step 2: a leading space, followed by...
+    xpath_str += "normalize-space(@class), "  # Step 3: the list of class names, separated by single spaces...
+    xpath_str += "' '), "                     # Step 4: a trailing space...
+    xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
+    try:
+        match = driver.find_element(By.XPATH, xpath_str)
+        return match.get_attribute('textContent')
+    except selenium.common.exceptions.NoSuchElementException as nsee:
+        pass
+
+    # We didn't find a match, try again by doing a prefix match and assume
+    # the full class name ends with two underscores followed by a cache-
+    # busting string.    
+    xpath_str = "//*[contains("                 # Step 1: search for a class name by matching the beginning of the class name against...
+    xpath_str += "concat(' ', "                 # Step 2: a leading space, followed by...
+    xpath_str += "normalize-space(@class)), "   # Step 3: the list of class names, separated by single spaces...
+    xpath_str += f"' {class_name_prefix}__')]"  # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
+    try:
+        match = driver.find_element(By.XPATH, xpath_str)
+        return match.get_attribute('textContent')
+    except selenium.common.exceptions.NoSuchElementException as nsee:
+        pass
+
+    # No match, return empty string.
+    return ''
+
+
+# time.sleep(2)
+# Close the cookies setting window
+try:  
+    # cookie_button = driver.find_element(By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button")
+    cookie_button = WebDriverWait(driver, 2).until(
+        EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
+    )
+    print(f"cookie_button = {cookie_button}")
+    cookie_button.click()
+except:
+    pass
+
+# time.sleep(1)
+# Clear any modal dialog
+try:    
+    # modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+    modal_close = WebDriverWait(driver, 2).until(
+        EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+    )
+    print(f"modal_close = {modal_close}")
+    modal_close.click()
+    #time.sleep(2)
+except:
+    pass
+
+# Define callback function for Pub/Sub messages
+def callback(message):
+    # Extract zip code from message data
+    zip_code = message.message.data.decode('utf-8')
+
+    print(f"Received zip code: {zip_code}")
+
+    try:
+        try:
+            # time.sleep(2)
+            # Clear any modal dialog
+            # modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+            modal_close = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
+        )
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+            # time.sleep(2)
+        except:
+            pass
+
+
+        try:
+            # time.sleep(1)
+            # Clear any notice
+            # notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+            notice_close = WebDriverWait(driver, 5).until(
+            EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button"))
+        )
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+            # time.sleep(1)
+        except:
+            pass
+        
+        # Enter zip code in the input field and click the "Check" button
+        # zip_button = driver.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]')
+        zip_button = WebDriverWait(driver, 5).until(
+            EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
+        )
+        # print(f"{zip_button:}")
+        zip_button.click()
+        # time.sleep(1)
+
+        # zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
+        zip_input = WebDriverWait(driver, 2).until(
+            EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
+        )
+        # print(f"{zip_input:}")
+        zip_input.click()
+        # print("clearing zip_input")
+        zip_input.send_keys("\b\b\b\b\b")
+        # print("sending zip code")
+        zip_input.send_keys(zip_code)
+
+        check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+        check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
+        # print(f"{check_button:}")
+        check_button.click()
+        # time.sleep(2)
+
+        try:
+            # time.sleep(2)
+            # Clear any notice
+            # notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
+            notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+            #time.sleep(2)
+        except:
+            pass
+
+        try:
+            # Clear any modal dialog
+            modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+        except:
+            pass
+
+        # Record sales count, if any
+        sales_count_element = get_element_text('Header_count')
+        count_start_index = sales_count_element.index('sold ') + len('sold ')
+        count_end_index = sales_count_element.index('+')
+        sales_count = sales_count_element[count_start_index:count_end_index]
+        # Record any sold status notice
+        sold_status = get_element_text('UnavailableCartbtn_container')
+        if sold_status == 'Notify me':
+            sold_status = 'Sold Out'
+
+    # Extract the price of rice crackers for this zip code
+        # Check if there is a minimum order quantity
+        min_quantity: float = 0
+        total_price: float = 0
+        unit_price: float = 0
+        try:
+            minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(@class, 'minQuantity')]").get_attribute('innerHTML')
+            if minimum_quantity_str:
+                regexp = "Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
+                match = re.search(regexp,minimum_quantity_str)
+                min_quantity, total_price = match.groups()
+        except selenium.common.exceptions.NoSuchElementException as nsee:
+            print("No minimum purhcase string found")
+        except Exception as e:
+            print(f"Exception when finding minimum purchase string: {e}")
+ 
+
+
+        ld_json_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+        ld_json_text = ld_json_element.get_attribute('innerHTML')
+        ld_json_start_index = ld_json_text.index('{')
+        ld_json_end_index = ld_json_text.rindex('}') + 1
+        ld_json_json = ld_json_text[ld_json_start_index:ld_json_end_index]
+        ld_json = json.loads(ld_json_json)
+        ld_json_price = ld_json['offers']['price']
+        # Print the price
+        print(ld_json_price)
+
+        unit_price_element = driver.find_element(By.XPATH,"//div[contains(@class, 'price_price')]").get_attribute('innerText')
+        unit_price = unit_price_element.replace("$", "")
+        print(f"unit_price = {unit_price}" )
+
+        subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path)  # acknowledge receipt of message
+        # Append the zip code and price to the dataframe
+        #append_to_df(zip_code, price)
+        new_row = pd.DataFrame({'Product ID': [product_id], 'Zip Code': [zip_code], 'Shown Price': [ld_json_price], 'Minimum Quantity': [min_quantity], 'Total Price': [total_price], 'Unit Price': [unit_price], 'Sales Count': [sales_count], 'Sold Status': [sold_status]})
+        return pd.concat([df, new_row], ignore_index=True)
+        #print(f"Recorded the zip code and price: {zip_code},{price}")
+        #print(f"Updated a dataframe: {df}")
+
+    except Exception as e:
+        print(f"Caught exception: {e}")
+        print(f"Price not found for zip code {zip_code}")
+        price = 'Price not found'
+        return df
+
+# Start receiving messages (sync version)
+while True: 
+    pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
+    messages = []
+    try:
+        pull_response = subscriber.pull(request = pull_request)
+        messages = pull_response.received_messages
+    except DeadlineExceeded:
+        pass
+
+    if messages:
+        df = callback(messages[0])
+        print(f"Updated a dataframe: {df}")
+    else:
+        print(f"no messages, trying again at {time.asctime()}")
+        break
+
+# df.to_hdf('product1.h5', key='df',mode='w')
+# df.to_hdf('product1.h5', key='df',mode='a')
+
+# Open the HDF5 file in a separate window
+# os.startfile('product1.h5')

fp2_14.py

@@ -0,0 +1,280 @@
+from google.cloud import pubsub_v1
+from google.api_core.exceptions import DeadlineExceeded
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+from concurrent.futures import TimeoutError
+import pandas as pd
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+import selenium.common.exceptions
+import re
+from datetime import datetime
+import h5py
+import sys
+import ntplib
+import arrow
+
+# This fp2_14.py is used to load the new price and the timestamp, and append such data in an existing key in the HDF5 file "product1.h5"
+
+def get_product_prices(project_id, subscription_name, url):
+    # Create an empty dataframe to store the prices
+    df_new = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
+    print(f"Created a dataframe: {df_new}")
+
+    # Configure the Selenium driver options
+    options = Options()
+    options.add_argument('--disable-gpu')
+    driver = webdriver.Chrome(options=options)
+
+    # Set up Pub/Sub subscription
+    '''
+    project_id = "fp-20230425"
+    subscription_name = "fp-subscription-NFL-zipcodes"
+    '''
+    subscriber = pubsub_v1.SubscriberClient()
+    subscription_path = subscriber.subscription_path(project_id, subscription_name)
+
+
+    # Load the product page and extract the __NEXT_DATA__ data
+    # url = 'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f'
+    product_id = url.split("/")[-1][:5]
+    # product_id = url.split("/")[-1]
+    driver.delete_all_cookies
+    driver.get(url)
+
+    def get_element_text(class_name_prefix):
+        '''
+        Return the text in the first element with a given class name.
+
+        Note that XPath doesn't have a function to check if a given word is present
+        in a list of words, so using contains() will match a class name even if
+        the class name is a substring of the class name being matched against.
+        To prevent this, we use spaces as a delimiter at the beginning and end of
+        the class name, and ensure there's only one space before and after all
+        class names in the class name list.
+
+        Example: consider two class names with cache-busting suffixes:
+        * Header_soldStatusNotice__12345
+        * Header_soldStatusNoticeBackground__ABCDE
+
+        Matching against Header_soldStatusNotice using a naive implementation with
+        `contains()` would match both class names, even though only the first one
+        is the correct match. 
+        '''
+        # Construct xpath selector.  
+        xpath_str = "//*[contains("               # Step 1: search for a class name by matching the beginning of the class name against...
+        xpath_str += "concat(' ', "               # Step 2: a leading space, followed by...
+        xpath_str += "normalize-space(@class), "  # Step 3: the list of class names, separated by single spaces...
+        xpath_str += "' '), "                     # Step 4: a trailing space...
+        xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
+        try:
+            match = driver.find_element(By.XPATH, xpath_str)
+            return match.get_attribute('textContent')
+        except selenium.common.exceptions.NoSuchElementException as nsee:
+            pass
+
+        # We didn't find a match, try again by doing a prefix match and assume
+        # the full class name ends with two underscores followed by a cache-
+        # busting string.    
+        xpath_str = "//*[contains("                 # Step 1: search for a class name by matching the beginning of the class name against...
+        xpath_str += "concat(' ', "                 # Step 2: a leading space, followed by...
+        xpath_str += "normalize-space(@class)), "   # Step 3: the list of class names, separated by single spaces...
+        xpath_str += f"' {class_name_prefix}__')]"  # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
+        try:
+            match = driver.find_element(By.XPATH, xpath_str)
+            return match.get_attribute('textContent')
+        except selenium.common.exceptions.NoSuchElementException as nsee:
+            pass
+
+        # No match, return empty string.
+        return ''
+
+
+    def modal_close():
+        try:    
+            modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+            print(f"modal_close = {modal_close}")
+            modal_close.click()
+        except:
+            pass
+
+    def notice_close():
+        try:
+            # Clear any notice
+            notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+        except:
+            pass
+
+    def cookie_close():
+        try:  
+            cookie_button = WebDriverWait(driver, 2).until(
+                EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
+            )
+            print(f"cookie_button = {cookie_button}")
+            cookie_button.click()
+        except:
+            pass
+
+    cookie_close()
+    modal_close()
+    # Define callback function for Pub/Sub messages
+    def callback(message):
+        # Extract zip code from message data
+        zip_code = message.message.data.decode('utf-8')
+
+        print(f"Received zip code: {zip_code}")
+
+        try:
+            
+            modal_close()
+            notice_close()
+
+            # Enter zip code in the input field and click the "Check" button
+            zip_button = WebDriverWait(driver, 5).until(
+                EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
+            )
+            # print(f"{zip_button:}")
+            zip_button.click()
+
+            # zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
+            zip_input = WebDriverWait(driver, 2).until(
+                EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
+            )
+            # print(f"{zip_input:}")
+            zip_input.click()
+            # print("clearing zip_input")
+            zip_input.send_keys("\b\b\b\b\b")
+            # print("sending zip code")
+            zip_input.send_keys(zip_code)
+
+            check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+            check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
+            # print(f"{check_button:}")
+            check_button.click()
+
+            notice_close()
+            modal_close()
+
+            # Record sales count, if any
+            sales_count_element = get_element_text('Header_count')
+            count_start_index = sales_count_element.index('sold ') + len('sold ')
+            count_end_index = sales_count_element.index('+')
+            sales_count = sales_count_element[count_start_index:count_end_index]
+            # Record any sold status notice
+            sold_status = get_element_text('UnavailableCartbtn_container')
+            if sold_status == 'Notify me':
+                sold_status = 'Sold Out'
+
+        # Extract the price of rice crackers for this zip code
+            # Check if there is a minimum order quantity
+            min_quantity: float = 0
+            total_price: float = 0
+            unit_price: float = 0
+            try:
+                minimum_quantity_str = WebDriverWait(driver, 5).until(EC.presence_of_element_located(((By.XPATH, "//div[contains(@class, 'minQuantity')]").get_attribute('innerHTML'))))
+                if minimum_quantity_str:
+                    regexp = "Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
+                    match = re.search(regexp,minimum_quantity_str)
+                    min_quantity, total_price = match.groups()
+            except selenium.common.exceptions.NoSuchElementException as nsee:
+                print("No minimum purhcase string found")
+            except Exception as e:
+                print(f"Exception when finding minimum purchase string: {e}")
+    
+
+
+            ld_json_element = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, "//script[@type='application/ld+json']")))
+            ld_json_text = ld_json_element.get_attribute('innerHTML')
+            ld_json_start_index = ld_json_text.index('{')
+            ld_json_end_index = ld_json_text.rindex('}') + 1
+            ld_json_json = ld_json_text[ld_json_start_index:ld_json_end_index]
+            ld_json = json.loads(ld_json_json)
+            ld_json_price = ld_json['offers']['price']
+            # Print the price
+            print(ld_json_price)
+
+            unit_price_element = WebDriverWait(driver, 5).until(EC.presence_of_element_located(((By.XPATH,"//div[contains(@class, 'price_price')]").get_attribute('innerText'))))
+            unit_price = unit_price_element.replace("$", "")
+            print(f"unit_price = {unit_price}" )
+
+            subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path)  # acknowledge receipt of message
+            # Append the zip code and price to the dataframe
+            #append_to_df(zip_code, price)
+            new_row = pd.DataFrame({'Product ID': [product_id], 'Zip Code': [zip_code], 'Shown Price': [ld_json_price], 'Minimum Quantity': [min_quantity], 'Total Price': [total_price], 'Unit Price': [unit_price], 'Sales Count': [sales_count], 'Sold Status': [sold_status]})
+            df_new = pd.concat([df_new, new_row], ignore_index=True)
+            return df_new
+            #print(f"Recorded the zip code and price: {zip_code},{price}")
+            #print(f"Updated a dataframe: {df_new}")
+
+        except Exception as e:
+            print(f"Caught exception: {e}")
+            print(f"Price not found for zip code {zip_code}")
+            return df_new
+
+    # Start receiving messages (sync version)
+    while True: 
+        pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
+        messages = []
+        try:
+            pull_response = subscriber.pull(request = pull_request)
+            messages = pull_response.received_messages
+        except DeadlineExceeded:
+            pass
+
+        if messages:
+            df_new = callback(messages[0])
+            print(f"Updated a dataframe: {df_new}")
+        else:
+            print(f"no messages, trying again at {time.asctime()}")
+            break
+    return df_new
+
+'''
+If using sys to get the function, please remove the following part of code.
+'''
+if __name__ == '__main__':
+    project_id = input("Enter the project ID: ")
+    subscription_name = input("Enter the subscription name: ")
+    url = input("Enter the URL: ")
+
+    get_product_prices(project_id, subscription_name, url)
+
+
+df_new = get_product_prices("fp-20230425", "fp-subscription-NFL-zipcodes", "https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119")
+
+# Now we have the new dataframe "df" recording the new price listed in weee's page
+# Load such data in the existing HDF5 file
+file_path = 'product1.h5'
+with h5py.File(file_path, 'a') as file:
+    # Load the existing dataframe 'df' from the HDF5 file
+    # REPLACE KEY TO GET THE EXISTING DATAFRAME FOR EACH DIFFERENT PRODUCT
+    df = pd.read_hdf(file, key='df')
+
+    # Add timestamp to the new dataframe "df_new"
+    # timestamp = datetime.now()
+    '''
+    To deal with the issue of inconsistent time when running a script on different systems, we can use 'ntplib' that
+    provides time synchronization with a reliable time server.
+    Also, to ensure that the local time is interpreted in the system's local time zone, we use 'arrow' which offers a
+    sensible and human-friendly approach to format and convert the timestamps.
+    '''
+    # Fetch the time from an NTP server
+    ntp_client = ntplib.NTPClient()
+    response = ntp_client.request('pool.ntp.org')
+    ntp_time = datetime.fromtimestamp(response.tx_time)
+    timestamp = arrow.get(ntp_time).to('local')
+    df_new['Timestamp'] = timestamp
+
+    # Append 'df_new' to the existing df stored in the key
+    df_update = df.append(df_new, ignore_index=True)
+
+    # Save 'df2' to the HDF5 file with the key 'df'
+    # REPLACE KEY FOR DIFFERENT PRODUCT
+    df_update.to_hdf(file, key='df', mode='a')
+
+print("Data appended and saved successfully.")

fp2_2.py

@@ -0,0 +1,32 @@
+import http.client
+import xml.etree.ElementTree as ET
+
+conn = http.client.HTTPSConnection("www.sayweee.com")
+payload = ''
+headers = {}
+conn.request("GET", "/en/product/Pete-and-Gerry-s-Organic-Large-Brown-Eggs/65902?category=dairy02", payload, headers)
+res = conn.getresponse()
+data = res.read()
+
+# Parse the HTML page content using ElementTree
+root = ET.fromstring(data.decode('utf-8'))
+
+if root is not None:
+    # Find the script element with __NEXT_DATA__ data
+    next_data_element = None
+    for script_element in root.iter('script'):
+        if script_element.text is not None and '__NEXT_DATA__' in script_element.text:
+            next_data_element = script_element
+            break
+
+    # Extract the __NEXT_DATA__ data
+    if next_data_element is not None:
+        next_data_text = next_data_element.txt
+        next_data_start_index = next_data_text.index('{')
+        next_data_end_index = next_data_text.rindex('}') + 1
+        next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+        print(next_data_json)
+    else:
+        print('__NEXT_DATA__ element not found')
+else:
+    print('Failed to parse HTML content')

fp2_3.py

@@ -0,0 +1,32 @@
+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
+import json
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--headless')
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Load the page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/Pete-and-Gerry-s-Organic-Large-Brown-Eggs/65902?category=dairy02'
+driver.get(url)
+wait = WebDriverWait(driver, 10)
+next_data_element = wait.until(EC.presence_of_element_located((By.XPATH, '//script[contains(text(), "__NEXT_DATA__")]')))
+next_data_text = next_data_element.text
+next_data_start_index = next_data_text.index('{')
+next_data_end_index = next_data_text.rindex('}') + 1
+next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+next_data = json.loads(next_data_json)
+
+# Extract the price from the __NEXT_DATA__ data
+price = next_data['props']['pageProps']['product']['price']
+
+# Close the Selenium driver
+driver.quit()
+
+# Print the price
+print(price)

fp2_4.py

@@ -0,0 +1,43 @@
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+
+# Configure the Selenium driver options
+options = Options()
+#options.add_argument('--headless')  
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Load the page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+driver.get(url)
+time.sleep(5)
+next_data_element = None
+#try:
+next_data_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+#except:
+ #   print('__NEXT_DATA__ element not found')
+
+#time.sleep(1000)
+if next_data_element is not None:
+    next_data_text = next_data_element.get_attribute('innerHTML')
+    print(next_data_text)
+    next_data_start_index = next_data_text.index('{')
+    next_data_end_index = next_data_text.rindex('}') + 1
+    next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+    next_data = json.loads(next_data_json)
+
+    # Extract the price from the __NEXT_DATA__ data
+ #   price = next_data['props']['pageProps']['product']['price']
+    print(next_data)
+    price = next_data['offers']['price']
+    # Print the price
+    print(price)
+else:
+    print('__NEXT_DATA__ element not found')
+
+time.sleep(1000)
+# Close the Selenium driver
+#driver.quit()

fp2_5.py

@@ -0,0 +1,33 @@
+import re
+import json
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--headless')
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Load the page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+driver.get(url)
+next_data_element = None
+for script_element in driver.find_elements(By.XPATH, '//script'):
+    script_text = script_element.get_attribute('innerHTML')
+    match = re.search(r'__NEXT_DATA__ = (\{.*\});', script_text)
+    if match:
+        next_data_json = match.group(1)
+        next_data = json.loads(next_data_json)
+        # Extract the price from the __NEXT_DATA__ data
+        price = next_data['props']['pageProps']['product']['price']
+        # Print the price
+        print(price)
+        break
+
+if next_data_element is None:
+    print('__NEXT_DATA__ element not found')
+
+# Close the Selenium driver
+driver.quit()

fp2_6.py

@@ -0,0 +1,126 @@
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+from selenium.webdriver.support.ui import WebDriverWait
+from selenium.webdriver.support import expected_conditions as EC
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Define the zip codes for which to extract the price
+zip_codes = ['85305', '30313', '21230', '14127','28202','60605','45202','44114','76011','80204','48226','54304','77054','46225','32202','64129','89118','90301','33056','55415','02035','70112','07073','19148','15212','95054','98134','33607','37213','20785']
+
+# Load the page and extract the __NEXT_DATA__ data
+#url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+url = 'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261'
+#url = 'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467'
+#url = 'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01'
+#url = 'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224'
+#url = 'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02'
+#url = 'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01'
+#url = 'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f'
+#url = 'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353?trace_id=7847dd6e-c511-48e2-a76e-a283399967b1'
+#url = 'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03'
+
+driver.delete_all_cookies
+driver.get(url)
+
+# Close the cookies setting window
+try:  
+    cookie_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button")))
+    print(f"cookie_button = {cookie_button}")
+    cookie_button.click()
+except:
+    pass
+
+# Clear any modal dialog
+try:    
+    modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+    print(f"modal_close = {modal_close}")
+    modal_close.click()
+except:
+    pass
+
+def callback(zip_code):
+    try:
+        try:
+            # Clear any modal dialog
+            modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+        except:
+            pass
+
+
+        try:
+            # Clear any notice
+            notice_close = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+        except:
+            pass
+
+        try:
+            # Clear any modal dialog
+            modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+        except:
+            pass
+
+        # Enter zip code in the input field and click the "Check" button
+        zip_button = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]')))
+        # print(f"{zip_button:}")
+        zip_button.click()
+
+        zip_input = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input')))
+        # print(f"{zip_input:}")
+        zip_input.click()
+        # print("clearing zip_input")
+        zip_input.send_keys("\b\b\b\b\b")
+        # print("sending zip code")
+        zip_input.send_keys(zip_code)
+
+        try:
+            check_button = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, "//button[text() = 'Confirm']")))
+            # print(f"{check_button:}")
+        except:
+            check_button = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[5]/div/div[2]/div/div[2]/div[2]/div/div[1]/form/div/div/div[1]/div/div/div[3]/div/button")))
+        finally:
+            check_button.click()
+
+        try:
+            # Clear any notice
+            notice_close = WebDriverWait(driver, 5).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
+            # print(f"notice_close = {notice_close}")
+            notice_close.click()
+        except:
+            pass
+
+        try:
+            # Clear any modal dialog
+            modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
+            # print(f"modal_close = {modal_close}")
+            modal_close.click()
+        except:
+            pass
+
+            # Extract the price of rice crackers for this zip code
+        try:
+            sold_out_notice = driver.find_element(By.XPATH, '//*[@id="soldStatusNotice"]')
+            print(f"No such product in this area = {zip_code, sold_out_notice}")
+        except:
+            print(f"The product is available in this area {zip_code}")
+    
+    except Exception as e:
+        print(f"Caught exception: {e}")
+        print(f"Price not found for zip code {zip_code}")
+
+for zip_code in zip_codes:
+    callback(zip_code)
+
+driver.quit()

fp2_7.py

@@ -0,0 +1,64 @@
+from google.cloud import pubsub_v1
+import csv
+import os
+import asyncio
+
+# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+# project_id = "fp-20230425"
+project_id = "svig-384801"
+
+'''
+topic_name = "fp-topic-NFL-zipcodes"
+subscription_name = "fp-subscription-NFL-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = f"projects/{project_id}/subscriptions/{subscription_name}"
+subscriber.delete_subscription(request={"subscription": subscription_path})
+print("Subscription deleted: {}".format(subscription_path))
+
+# Delete the topic
+publisher = pubsub_v1.PublisherClient()
+topic_path = publisher.topic_path(project_id, topic_name)
+publisher.delete_topic(request={"topic": topic_path})
+print(f"Topic '{topic_name}' deleted.")
+
+'''
+
+
+# Create a pubsub topic
+publisher = pubsub_v1.PublisherClient()
+topic_name = "fp-topic-NFL-zipcodes"
+topic_path = publisher.topic_path(project_id, topic_name)
+topic = publisher.create_topic(request={"name": topic_path}, timeout=30)
+
+
+# Create a Pub/Sub subscription
+subscriber = pubsub_v1.SubscriberClient()
+subscription_name = "fp-subscription-NFL-zipcodes"
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+subscription = subscriber.create_subscription(
+    name=subscription_path, topic=topic_path
+)
+'''
+# Publish a message to the topic
+# Read the data from the csv file
+# file_path = "C:/Users/Karen/Desktop/NFL_Cities.csv"
+file_path = zipcodes.csv
+
+with open(file_path, "r") as csv_file:
+    reader = csv.reader(csv_file)
+    next(reader)  # skip header row
+    for row in reader:
+        # Format the data as a string and publish it to the topic
+        data = ",".join(row).encode("utf-8")
+        future = publisher.publish(topic_path, data)
+        print(f"Published message ID {future.result()}")
+
+
+async def receive_messages():
+    response = subscriber.pull(subscription=subscription_path, max_messages=1)
+    for received_message in response.received_messages:
+        print("Received message: {}".format(received_message.message.data))
+       
+    
+asyncio.run(receive_messages())
+'''

fp2_8.py

@@ -0,0 +1,55 @@
+import json
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import time
+from google.cloud import pubsub_v1
+import os
+
+os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+
+options = Options()
+options.add_argument('--headless')
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Set up Pub/Sub subscription
+project_id = "fp-20230425"
+subscription_name = "fp-subscription-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+
+def callback(message):
+    try:
+        # Get the zip code from the message
+        zip_code = message.data.decode('utf-8')
+        print(f"Received zip code: {zip_code}")
+        
+        # Load the webpage with the zip code
+        url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+        driver.get(url)
+        driver.find_element(By.XPATH, '/html/body/div[4]/div/div[2]/div/div[2]/div[2]/div/div[1]/form/div/div/div[1]/div/div/div[2]/input').send_keys(zip_code)
+        driver.find_element(By.XPATH, '/html/body/div[4]/div/div[2]/div/div[2]/div[2]/div/div[1]/form/div/div/div[1]/div/div/div[3]/div').click()
+        
+        # Extract the price from the webpage
+        next_data_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+        next_data_text = next_data_element.get_attribute('innerHTML')
+        next_data_start_index = next_data_text.index('{')
+        next_data_end_index = next_data_text.rindex('}') + 1
+        next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+        next_data = json.loads(next_data_json)
+        price = next_data['offers']['price']
+        
+        # Print the result
+        print(f"Price of rice crackers in zip code {zip_code}: {price}")
+    except Exception as e:
+        print(f"Error processing message: {str(e)}")
+    finally:
+        message.ack()
+
+subscriber.subscribe(subscription_path, callback=callback)
+
+while True:
+    time.sleep(1)
+
+

fp2_9.py

@@ -0,0 +1,106 @@
+from google.cloud import pubsub_v1
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.webdriver.common.by import By
+import json
+import time
+import os
+from concurrent.futures import TimeoutError
+
+# os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "C:/Users/Karen/AppData/Roaming/gcloud/application_default_credentials.json"
+
+# Configure the Selenium driver options
+options = Options()
+options.add_argument('--disable-gpu')
+driver = webdriver.Chrome(options=options)
+
+# Set up Pub/Sub subscription
+# project_id = "fp-20230425"
+project_id = "svig-384801"
+subscription_name = "fp-subscription-zipcodes"
+subscriber = pubsub_v1.SubscriberClient()
+subscription_path = subscriber.subscription_path(project_id, subscription_name)
+timeout = 5
+
+# Load the product page and extract the __NEXT_DATA__ data
+url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
+driver.get(url)
+# time.sleep(5)
+'''
+next_data_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+if next_data_element is not None:
+    next_data_text = next_data_element.get_attribute('innerHTML')
+    next_data_start_index = next_data_text.index('{')
+    next_data_end_index = next_data_text.rindex('}') + 1
+    next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+    next_data = json.loads(next_data_json)
+else:
+    print('__NEXT_DATA__ element not found')
+'''
+    
+# Define callback function for Pub/Sub messages
+def callback(message):
+    # Extract zip code from message data
+    zip_code = message.data.decode('utf-8')
+    print(f"Received zip code: {zip_code}")
+
+    try:
+
+        time.sleep(5)
+        # Clear any modal dialog
+        modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
+        print(f"modal_close = {modal_close}")
+        modal_close.click()
+        time.sleep(2)
+
+        # Enter zip code in the input field and click the "Check" button
+        zip_button = driver.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]/div/div/div[1]')
+        print(zip_button)
+        zip_button.click()
+        time.sleep(1)
+
+        zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
+        zip_input.clear()
+        zip_input.send_keys(zip_code)
+
+        check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
+        check_button.click()
+        time.sleep(2)
+
+        # Extract the price of rice crackers for this zip code
+        '''
+        price_element = driver.find_element(By.XPATH, '/html/body/div[2]/div/div[1]/div[1]/div/div/div[2]/div[2]/div[1]/div[4]/div[1]/div')
+        price = price_element.text.strip()[1:]
+        print(price)
+        '''
+        next_data_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
+        next_data_text = next_data_element.get_attribute('innerHTML')
+        next_data_start_index = next_data_text.index('{')
+        next_data_end_index = next_data_text.rindex('}') + 1
+        next_data_json = next_data_text[next_data_start_index:next_data_end_index]
+        next_data = json.loads(next_data_json)
+        price = next_data['offers']['price']
+    # Print the price
+        print(price)
+        message.ack()  # acknowledge receipt of message
+    except:
+        print(f"Price not found for zip code {zip_code}")
+        price = 'Price not found'
+
+# Start receiving messages
+streaming_pull_future = subscriber.subscribe(subscription_path, callback=callback)
+print(f'Started receiving messages from subscription {subscription_path}...')
+
+# Wrap subscriber in a 'with' block to automatically call close() when done.
+with subscriber:
+    try:
+        # When `timeout` is not set, result() will block indefinitely,
+        # unless an exception is encountered first.
+        streaming_pull_future.result(timeout=timeout)
+    except TimeoutError:
+        streaming_pull_future.cancel()  # Trigger the shutdown.
+        streaming_pull_future.result()  # Block until the shutdown is complete.
+
+# Keep the script running indefinitely to continue receiving messages
+while True:
+    time.sleep(10)

fp3_1.py

@@ -0,0 +1,166 @@
+import sqlalchemy
+from sqlalchemy import create_engine, Column, Integer, String, ForeignKey, Float, DateTime
+from sqlalchemy.orm import declarative_base
+from sqlalchemy.orm import relationship, sessionmaker
+import sys
+from flask import Flask, render_template
+
+# Create the Flask application
+app = Flask(__name__)
+
+# Create the database engine
+engine = create_engine('sqlite:///scraper_design.db')
+
+# Create a session factory
+Session = sessionmaker(bind=engine)
+
+# Create a base class
+Base = declarative_base()
+
+# Define the product class
+class Product(Base):
+    __tablename__ = 'product'
+    id = Column(Integer, primary_key=True)
+    name = Column(String)
+    SKU_PLU_UPC_number = Column(String)
+    price_histories = relationship("PriceHistory", back_populates="product")
+
+# Define the retailer class
+class Retailer(Base):
+    __tablename__ = 'retailer'
+    id = Column(Integer, primary_key=True)
+    name = Column(String)
+    products = relationship("Product", secondary="retailer_product")
+
+# Define the price class
+class Price(Base):
+    __tablename__ = 'price'
+    id = Column(Integer, primary_key=True)
+    MOQ = Column(Integer)
+    price = Column(Float)
+
+# Define the scraperjob class
+class ScraperJob(Base):
+    __tablename__ = 'scraper_job'
+    id = Column(Integer, primary_key=True)
+    start_time = Column(DateTime)
+    end_time = Column(DateTime)
+    parameters = Column(String)
+    statistics = Column(String)
+
+# Define the price history class
+class PriceHistory(Base):
+    __tablename__ = 'price_history'
+    id = Column(Integer, primary_key=True)
+    location = Column(String)
+    zip_code = Column(Integer)
+    city_name = Column(String)
+    price_at_time = Column(DateTime)
+    price = Column(Float)
+    scraper_job_id = Column(Integer, ForeignKey('scraper_job.id'))
+    product_id = Column(Integer, ForeignKey('product.id'))
+    product = relationship("Product", back_populates="price_histories")
+    scraper_job = relationship("ScraperJob")
+
+# Define the user class
+class User(Base):
+    __tablename__ = 'user'
+    id = Column(Integer, primary_key=True)
+    username = Column(String)
+    credentials = Column(String)
+    creation_date = Column(DateTime)
+    modification_date = Column(DateTime)
+    def __str__(self):
+        return f"{self.id=} {self.username=} {self.creation_date=} {self.modification_date=}"
+
+class RetailerProduct(Base):
+    __tablename__ = 'retailer_product'
+    retailer_id = Column(Integer, ForeignKey('retailer.id'), primary_key=True)
+    product_id = Column(Integer, ForeignKey('product.id'), primary_key=True)
+
+# Create the database tables
+Base.metadata.create_all(engine)
+
+@app.route('/')
+def homepage():
+    # Create a session
+    session = Session()
+
+    # Get all the classes from SQLAlchemy
+    classes = Base.__subclasses__()
+
+    statement = sqlalchemy.select(User)
+    users = session.scalars(statement).all()
+
+    # Render the template with the classes
+    return render_template('test3.html', classes=classes, users=users)
+
+# Create command-line arguments for the user class
+def main():
+    if len(sys.argv) < 2:
+        app.run()
+
+    command = sys.argv[1]
+
+    if command == "create":
+        if len(sys.argv) != 3:
+            print("Usage: python user_tool.py create [username]")
+            return
+
+        username = sys.argv[2]
+
+        # Create a new user object
+        user = User(username=username)
+
+        # Add the user to the database
+        session = Session()
+        session.add(user)
+        session.commit()
+
+        print("User created successfully.")
+
+    elif command == "edit":
+        if len(sys.argv) != 4:
+            print("Usage: python user_tool.py edit [user_id] [new_username]")
+            return
+
+        user_id = int(sys.argv[2])
+        new_username = sys.argv[3]
+
+        # Retrieve the user from the database
+        session = Session()
+        user = session.query(User).get(user_id)
+
+        if user:
+            # Update the user object
+            user.username = new_username
+            session.commit()
+            print("User updated successfully.")
+        else:
+            print("User not found.")
+
+    elif command == "delete":
+        if len(sys.argv) != 3:
+            print("Usage: python user_tool.py delete [user_id]")
+            return
+
+        user_id = int(sys.argv[2])
+
+        # Retrieve the user from the database
+        session = Session()
+        user = session.query(User).get(user_id)
+
+        if user:
+            # Delete the user from the database
+            session.delete(user)
+            session.commit()
+            print("User deleted successfully.")
+        else:
+            print("User not found.")
+
+    else:
+        print("Usage: python user_tool.py [create|edit|delete]")
+        return
+
+if __name__ == "__main__":
+    main()

fp_merge.py

@@ -0,0 +1,100 @@
+from fp2_14 import get_product_prices
+import h5py
+import pandas as pd
+import datetime
+import sys
+from datetime import datetime
+import ntplib
+import arrow
+import concurrent.futures
+import pandas as pd
+
+# Define the subset of urls
+url_list = [
+    'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119',
+    'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261',
+    'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467',
+    'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01',
+    'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224',
+    'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02',
+    'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01',
+    'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f',
+    'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353',
+    'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03',
+    'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?trace_id=3c143dd4-4a35-4e8d-93ee-d91f209717e7'
+]
+
+
+# Define the function to run the scraper
+def run_scraper(url):
+    project_id = "fp-20230425"
+    subscription_name = "fp-subscription-NFL-zipcodes"
+    df_new = get_product_prices(project_id, subscription_name, url)
+
+    # Add timestamp to the new dataframe "df_new"
+    '''
+    To deal with the issue of inconsistent time when running a script on different systems, we can use 'ntplib' that
+    provides time synchronization with a reliable time server.
+    Also, to ensure that the local time is interpreted in the system's local time zone, we use 'arrow' which offers a
+    sensible and human-friendly approach to format and convert the timestamps.
+    '''
+    # Fetch the time from an NTP server
+    ntp_client = ntplib.NTPClient()
+    response = ntp_client.request('pool.ntp.org')
+    ntp_time = datetime.fromtimestamp(response.tx_time)
+    timestamp = arrow.get(ntp_time).to('local')
+    df_new['Timestamp'] = timestamp
+
+    # Append 'df_new' to the existing df stored in the key
+    df_update = df_new.append(df_new, ignore_index=True)
+
+    return df_update
+
+
+'''
+# When using sys to call the 'get_product_prices' function
+
+if __name__ == '__main__':
+    # Check if the required command-line arguments are provided
+    if len(sys.argv) < 4:
+        print("Usage: python test_fp2_14.py project_id subscription_name url")
+        sys.exit(1)
+
+    project_id = sys.argv[1]
+    subscription_name = sys.argv[2]
+    url = sys.argv[3:]
+
+    get_product_prices(project_id, subscription_name, url)
+'''
+
+
+if __name__ == '__main__':
+    # Determine the number of available CPUs
+    # cpu_count = multiprocessing.cpu_count()
+
+    with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
+        future_to_url = {executor.submit(run_scraper, url): url for url in url_list}
+        results = []
+        for future in concurrent.futures.as_completed(future_to_url):
+            url = future_to_url[future]
+            try:
+                result = future.result()
+                print(f"Scraped data for URL: {url}")
+                results.append(result)
+            except Exception as e:
+                print(f"Failed to scrape data for URL: {url}\nError: {e}")
+
+
+# Now we have the new dataframe "df_update" recording the new price listed in weee's page
+# Load such data in the existing HDF5 file
+file_path = 'product1.h5'
+with pd.HDFStore(file_path) as store:
+    for url, result in zip(url_list, results):
+        # Extract the product ID from the URL
+        product_id = url.split("/")[-1][:5]
+
+        # Save the dataframe to the HDF5 file with a unique key
+        key = f'df_{product_id}'
+        store[key] = result
+        result.to_hdf('product_data.h5', key=key, mode='a')
+        print("Data appended and saved successfully.")

hello.py

@@ -0,0 +1 @@
+print("hello")

http-performance/httpserver.py

@@ -0,0 +1,31 @@
+import os
+from http.server import SimpleHTTPRequestHandler, HTTPServer
+from urllib.parse import urlparse
+
+class JPEGRequestHandler(SimpleHTTPRequestHandler):
+    def do_GET(self):
+        url = urlparse(self.path)
+        path = url.path
+        if path.endswith('.jpg'):
+            file_path = path[1:]
+
+            if os.path.isfile(file_path):
+                self.send_response(200)
+                self.send_header('Content-Type', 'image/jpeg')
+                self.end_headers()
+
+                with open(file_path, 'rb') as file:
+                    self.wfile.write(file.read())
+            else:
+                self.send_error(404, 'File not found')
+        else:
+            self.send_error(403, 'Only .jpg files are allowed')
+
+def run(server_class=HTTPServer, handler_class=JPEGRequestHandler, port=8000):
+    server_address = ('', port)
+    httpd = server_class(server_address, handler_class)
+    print(f'Serving JPEGs on port {port}...')
+    httpd.serve_forever()
+
+if __name__ == '__main__':
+    run()

http-performance/index.html

@@ -0,0 +1,146 @@
+<!DOCTYPE html>
+<html>
+    <head>
+        <meta charset="UTF-8">
+        <meta name="viewport" content="width=device-width, initial-scale=1.0">
+        <title>D3.js Image Loading Time Graph</title>
+        <script src="https://d3js.org/d3.v5.min.js"></script>
+        <style>
+            /* Add some basic styling for the chart */
+            .bar {
+                fill: steelblue;
+            }
+    
+            .bar:hover {
+                fill: brown;
+            }
+    
+            .axis {
+                font: 10px sans-serif;
+            }
+    
+            .axis path,
+            .axis line {
+                fill: none;
+                stroke: #000;
+                shape-rendering: crispEdges;
+            }
+        </style>
+    </head>
+    <body>
+        <div id="chart"></div>
+        <div id="stats"></div>
+        <script>
+        // Generate the list of image URLs named kublai0.jpg to kublai118.jpg
+        const numberOfImages = 119;
+        const imagePrefix = 'http://localhost:8000/kublai';
+        const imageExtension = '.jpg';
+        const images = [];
+
+        for (let i = 0; i < numberOfImages; i++) {
+            const imageName = `${imagePrefix}${i}${imageExtension}`;
+            images.push(imageName);
+        }
+
+        // Disable caching using cache-buster technique
+        const cacheBuster = (url) => `${url}?${new Date().getTime()}`;
+
+        // Load images and measure their loading times
+        const loadImages = async () => {
+            const loadingTimes = [];
+
+            for (const url of images) {
+                const startTime = performance.now();
+                const img = new Image();
+                img.src = cacheBuster(url);
+                img.style.display = 'none';
+                document.body.appendChild(img);
+
+                await new Promise((resolve) => {
+                    img.onload = () => {
+                        const endTime = performance.now();
+                        loadingTimes.push(endTime - startTime);
+                        resolve();
+                    };
+                });
+            }
+
+            return loadingTimes;
+        };
+
+        // Create a D3.js bar chart to visualize loading times
+        const createChart = (data) => {
+            const margin = { top: 20, right: 20, bottom: 30, left: 40 },
+                width = 1280 - margin.left - margin.right,
+                height = 500 - margin.top - margin.bottom;
+
+            const x = d3.scaleBand().rangeRound([0, width]).padding(0.1);
+            const y = d3.scaleLinear().rangeRound([height, 0]);
+
+            const svg = d3.select('#chart')
+                .append('svg')
+                .attr('width', width + margin.left + margin.right)
+                .attr('height', height + margin.top + margin.bottom)
+                .append('g')
+                .attr('transform', `translate(${margin.left},${margin.top})`);
+
+            x.domain(data.map((d, i) => i));
+            y.domain([0, d3.max(data)]);
+
+            svg.append('g')
+                .attr('class', 'axis axis--x')
+                .attr('transform', `translate(0,${height})`)
+                .call(d3.axisBottom(x));
+
+            svg.append('g')
+                .attr('class', 'axis axis--y')
+                .call(d3.axisLeft(y).ticks(10))
+                .append('text')
+                .attr('transform', 'rotate(-90)')
+                .attr('y', 6)
+                .attr('dy', '0.71em')
+                .attr('text-anchor', 'end')
+                .text('Loading Time (ms)');
+
+            svg.selectAll('.bar')
+                .data(data)
+                .enter().append('rect')
+                .attr('class', 'bar')
+                .attr('x', (d, i) => x(i))
+                .attr('y', (d) => y(d))
+                .attr('width', x.bandwidth())
+                .attr('height', (d) => height - y(d));
+
+            const stats = document.getElementById('stats');
+            let textContent = '';
+            let average = 0;
+            let sum = 0;
+            let min = parseFloat(data[0]);
+            let max = parseFloat(data[0]);
+            for(datum of data) {
+                loadingTime = parseFloat(datum)
+                sum = sum + loadingTime
+                if(loadingTime > max) {
+                    max = loadingTime;
+                }
+                if(loadingTime < min) {
+                    min = loadingTime;
+                }
+            }
+            average = sum / data.length
+            textContent = 
+                'Total: ' + sum + 
+                ' Average: ' + average + 
+                ' Min: ' + min + 
+                ' Max: ' + max;
+            stats.textContent = textContent;
+        };
+
+        // Load images and create the chart
+        (async () => {
+            const loadingTimes = await loadImages();
+            createChart(loadingTimes);
+        })();
+    </script>
+</body>
+</html>