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# A quick brain teaser
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# A coin
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import multiprocessing
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import subprocess
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import concurrent.futures
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from google.cloud import pubsub_v1
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from google.api_core.exceptions import DeadlineExceeded
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from selenium import webdriver
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from selenium.webdriver.chrome.options import Options
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from selenium.webdriver.common.by import By
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import json
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import time
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import os
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from concurrent.futures import TimeoutError
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import pandas as pd
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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import selenium.common.exceptions
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import re
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||||||
from fp2_14 import get_product_prices
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|
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|
||||||
# Define the subset of urls
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|
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url_list = [
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||||||
'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119',
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'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261',
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'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467',
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'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01',
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'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224',
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'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02',
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'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01',
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'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f',
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'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353',
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'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03',
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'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?trace_id=3c143dd4-4a35-4e8d-93ee-d91f209717e7'
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]
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# Create a pool of worker processes
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|
||||||
# pool = multiprocessing.Pool(cpu_count)
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||||||
# Define the function to run the scraper
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|
||||||
def run_scraper(url):
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||||||
# scraping logic
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|
||||||
df = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
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|
||||||
print(f"Created a dataframe: {df}")
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|
||||||
product_id = url.split("/")[-1][:5]
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||||||
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|
||||||
options = Options()
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|
||||||
options.add_argument('--disable-gpu')
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|
||||||
driver = webdriver.Chrome(options=options)
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|
||||||
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|
||||||
project_id = "fp-20230425"
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|
||||||
subscription_name = "fp-subscription-NFL-zipcodes"
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|
||||||
subscriber = pubsub_v1.SubscriberClient()
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|
||||||
subscription_path = subscriber.subscription_path(project_id, subscription_name)
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|
||||||
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|
||||||
# product_id = url.split("/")[-1]
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|
||||||
driver.delete_all_cookies
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|
||||||
driver.get(url)
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|
||||||
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|
||||||
def get_element_text(class_name_prefix):
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|
||||||
xpath_str = "//*[contains(" # Step 1: search for a class name by matching the beginning of the class name against...
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|
||||||
xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
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|
||||||
xpath_str += "normalize-space(@class), " # Step 3: the list of class names, separated by single spaces...
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|
||||||
xpath_str += "' '), " # Step 4: a trailing space...
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|
||||||
xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
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|
||||||
try:
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||||||
match = driver.find_element(By.XPATH, xpath_str)
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||||||
return match.get_attribute('textContent')
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|
||||||
except selenium.common.exceptions.NoSuchElementException as nsee:
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|
||||||
pass
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|
||||||
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|
||||||
xpath_str = "//*[contains(" # Step 1: search for a class name by matching the beginning of the class name against...
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|
||||||
xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
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|
||||||
xpath_str += "normalize-space(@class)), " # Step 3: the list of class names, separated by single spaces...
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|
||||||
xpath_str += f"' {class_name_prefix}__')]" # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
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|
||||||
try:
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|
||||||
match = driver.find_element(By.XPATH, xpath_str)
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|
||||||
return match.get_attribute('textContent')
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|
||||||
except selenium.common.exceptions.NoSuchElementException as nsee:
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|
||||||
pass
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|
||||||
return ''
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|
||||||
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|
||||||
# Close the cookies setting window
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|
||||||
try:
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|
||||||
cookie_button = WebDriverWait(driver, 2).until(
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||||||
EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
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|
||||||
)
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|
||||||
print(f"cookie_button = {cookie_button}")
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|
||||||
cookie_button.click()
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|
||||||
except:
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|
||||||
pass
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|
||||||
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|
||||||
# Clear any modal dialog
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|
||||||
try:
|
|
||||||
modal_close = WebDriverWait(driver, 2).until(
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|
||||||
EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
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|
||||||
)
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|
||||||
print(f"modal_close = {modal_close}")
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|
||||||
modal_close.click()
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|
||||||
except:
|
|
||||||
pass
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|
||||||
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|
||||||
# Define callback function for Pub/Sub messages
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|
||||||
def callback(message):
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|
||||||
# Extract zip code from message data
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|
||||||
zip_code = message.message.data.decode('utf-8')
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|
||||||
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|
||||||
print(f"Received zip code: {zip_code}")
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|
||||||
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|
||||||
try:
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|
||||||
try:
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|
||||||
# Clear any modal dialog
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|
||||||
modal_close = WebDriverWait(driver, 2).until(
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|
||||||
EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
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|
||||||
)
|
|
||||||
# print(f"modal_close = {modal_close}")
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|
||||||
modal_close.click()
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|
||||||
except:
|
|
||||||
pass
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|
||||||
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|
||||||
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|
||||||
try:
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|
||||||
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|
||||||
# Clear any notice
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|
||||||
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}")
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|
||||||
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]'))
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|
||||||
)
|
|
||||||
# print(f"{zip_button:}")
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|
||||||
zip_button.click()
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|
||||||
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|
||||||
zip_input = WebDriverWait(driver, 2).until(
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|
||||||
EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
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|
||||||
)
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|
||||||
# print(f"{zip_input:}")
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|
||||||
zip_input.click()
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|
||||||
# print("clearing zip_input")
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|
||||||
zip_input.send_keys("\b\b\b\b\b")
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|
||||||
# print("sending zip code")
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|
||||||
zip_input.send_keys(zip_code)
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|
||||||
|
|
||||||
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')
|
|
||||||
@@ -1,33 +0,0 @@
|
|||||||
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
|
|
||||||
|
@@ -17,27 +17,4 @@ 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
|
are simple enough that they can be reviewed interactively in 1:1 or up to 1:4
|
||||||
sessions with study groups.
|
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
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
@@ -1,42 +0,0 @@
|
|||||||
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
|
|
||||||
@@ -1,42 +0,0 @@
|
|||||||
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))
|
|
||||||
@@ -1,402 +0,0 @@
|
|||||||
{
|
|
||||||
"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
|
|
||||||
}
|
|
||||||
@@ -1,74 +0,0 @@
|
|||||||
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)
|
|
||||||
'''
|
|
||||||
|
|
||||||
|
Before Width: | Height: | Size: 16 KiB |
|
Before Width: | Height: | Size: 26 KiB |
@@ -1,81 +0,0 @@
|
|||||||
'''
|
|
||||||
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)
|
|
||||||
|
|
||||||
@@ -1,47 +0,0 @@
|
|||||||
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))
|
|
||||||
|
Before Width: | Height: | Size: 19 KiB |
|
Before Width: | Height: | Size: 37 KiB |
@@ -1,65 +0,0 @@
|
|||||||
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])
|
|
||||||
'''
|
|
||||||
@@ -1,10 +0,0 @@
|
|||||||
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"))
|
|
||||||
@@ -1,67 +0,0 @@
|
|||||||
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())
|
|
||||||
'''
|
|
||||||
@@ -1,372 +0,0 @@
|
|||||||
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)
|
|
||||||
@@ -1,199 +0,0 @@
|
|||||||
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()}")
|
|
||||||
@@ -1,271 +0,0 @@
|
|||||||
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')
|
|
||||||
@@ -1,280 +0,0 @@
|
|||||||
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.")
|
|
||||||
@@ -1,32 +0,0 @@
|
|||||||
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')
|
|
||||||
@@ -1,32 +0,0 @@
|
|||||||
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)
|
|
||||||
@@ -1,43 +0,0 @@
|
|||||||
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()
|
|
||||||
@@ -1,33 +0,0 @@
|
|||||||
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()
|
|
||||||
@@ -1,126 +0,0 @@
|
|||||||
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()
|
|
||||||
@@ -1,64 +0,0 @@
|
|||||||
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())
|
|
||||||
'''
|
|
||||||
@@ -1,55 +0,0 @@
|
|||||||
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)
|
|
||||||
|
|
||||||
|
|
||||||
@@ -1,106 +0,0 @@
|
|||||||
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)
|
|
||||||
@@ -1,166 +0,0 @@
|
|||||||
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()
|
|
||||||
@@ -1,100 +0,0 @@
|
|||||||
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.")
|
|
||||||
@@ -0,0 +1,78 @@
|
|||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": null,
|
||||||
|
"id": "0593e529",
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import os\n",
|
||||||
|
"from urllib.parse import urlparse\n",
|
||||||
|
"\n",
|
||||||
|
"class JPEGRequestHandler:\n",
|
||||||
|
" def __init__(self, app):\n",
|
||||||
|
" self.app = app\n",
|
||||||
|
"\n",
|
||||||
|
" def __call__(self, environ, start_response):\n",
|
||||||
|
" url = urlparse(environ['REQUEST_URI'])\n",
|
||||||
|
" path = url.path\n",
|
||||||
|
"\n",
|
||||||
|
" if path.endswith('.jpg'):\n",
|
||||||
|
" file_path = path[1:]\n",
|
||||||
|
"\n",
|
||||||
|
" if os.path.isfile(file_path):\n",
|
||||||
|
" with open(file_path, 'rb') as file:\n",
|
||||||
|
" response_body = file.read()\n",
|
||||||
|
" status = '200 OK'\n",
|
||||||
|
" headers = [('Content-type', 'image/jpeg'),\n",
|
||||||
|
" ('Content-Length', str(len(response_body)))]\n",
|
||||||
|
"\n",
|
||||||
|
" start_response(status, headers)\n",
|
||||||
|
" return [response_body]\n",
|
||||||
|
" else:\n",
|
||||||
|
" status = '404 Not Found'\n",
|
||||||
|
" headers = [('Content-type', 'text/plain'),\n",
|
||||||
|
" ('Content-Length', '0')]\n",
|
||||||
|
"\n",
|
||||||
|
" start_response(status, headers)\n",
|
||||||
|
" return []\n",
|
||||||
|
" else:\n",
|
||||||
|
" status = '403 Forbidden'\n",
|
||||||
|
" headers = [('Content-type', 'text/plain'),\n",
|
||||||
|
" ('Content-Length', '0')]\n",
|
||||||
|
"\n",
|
||||||
|
" start_response(status, headers)\n",
|
||||||
|
" return []\n",
|
||||||
|
"\n",
|
||||||
|
"if __name__ == '__main__':\n",
|
||||||
|
" from werkzeug.serving import run_simple\n",
|
||||||
|
" from werkzeug.middleware.dispatcher import DispatcherMiddleware\n",
|
||||||
|
"\n",
|
||||||
|
" app = DispatcherMiddleware(JPEGRequestHandler(app), {'/': app})\n",
|
||||||
|
" run_simple('0.0.0.0', 8000, app, use_reloader=True)"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3 (ipykernel)",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.9.13"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
@@ -0,0 +1,44 @@
|
|||||||
|
import os
|
||||||
|
from urllib.parse import urlparse
|
||||||
|
|
||||||
|
class JPEGRequestHandler:
|
||||||
|
def __init__(self, app):
|
||||||
|
self.app = app
|
||||||
|
|
||||||
|
def __call__(self, environ, start_response):
|
||||||
|
url = urlparse(environ['REQUEST_URI'])
|
||||||
|
path = url.path
|
||||||
|
|
||||||
|
if path.endswith('.jpg'):
|
||||||
|
file_path = path[1:]
|
||||||
|
|
||||||
|
if os.path.isfile(file_path):
|
||||||
|
with open(file_path, 'rb') as file:
|
||||||
|
response_body = file.read()
|
||||||
|
status = '200 OK'
|
||||||
|
headers = [('Content-type', 'image/jpeg'),
|
||||||
|
('Content-Length', str(len(response_body)))]
|
||||||
|
|
||||||
|
start_response(status, headers)
|
||||||
|
return [response_body]
|
||||||
|
else:
|
||||||
|
status = '404 Not Found'
|
||||||
|
headers = [('Content-type', 'text/plain'),
|
||||||
|
('Content-Length', '0')]
|
||||||
|
|
||||||
|
start_response(status, headers)
|
||||||
|
return []
|
||||||
|
else:
|
||||||
|
status = '403 Forbidden'
|
||||||
|
headers = [('Content-type', 'text/plain'),
|
||||||
|
('Content-Length', '0')]
|
||||||
|
|
||||||
|
start_response(status, headers)
|
||||||
|
return []
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
from werkzeug.serving import run_simple
|
||||||
|
from werkzeug.middleware.dispatcher import DispatcherMiddleware
|
||||||
|
|
||||||
|
app = DispatcherMiddleware(JPEGRequestHandler(app), {'/': app})
|
||||||
|
run_simple('0.0.0.0', 8000, app, use_reloader=True)
|
||||||
@@ -1,54 +0,0 @@
|
|||||||
'''
|
|
||||||
import os
|
|
||||||
from flask import Flask, Response
|
|
||||||
from urllib.parse import urlparse
|
|
||||||
|
|
||||||
app = Flask(__name__)
|
|
||||||
|
|
||||||
@app.route('/')
|
|
||||||
def index():
|
|
||||||
return 'Hello, welcome to the cat picture server!'
|
|
||||||
|
|
||||||
@app.route('/<path:path>')
|
|
||||||
def serve_jpeg(path):
|
|
||||||
if path.endswith('.jpg'):
|
|
||||||
file_path = path[1:]
|
|
||||||
if os.path.isfile(file_path):
|
|
||||||
with open(file_path, 'rb') as file:
|
|
||||||
return Response(file.read(), content_type='image/jpeg')
|
|
||||||
else:
|
|
||||||
return 'File not found', 404
|
|
||||||
else:
|
|
||||||
return 'Only .jpg files are allowed', 403
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
app.run(host='0.0.0.0', port=8000)
|
|
||||||
'''
|
|
||||||
'''
|
|
||||||
import os
|
|
||||||
from fastapi import FastAPI
|
|
||||||
from fastapi.responses import FileResponse
|
|
||||||
from urllib.parse import urlparse
|
|
||||||
|
|
||||||
app = FastAPI()
|
|
||||||
|
|
||||||
@app.get('/')
|
|
||||||
def index():
|
|
||||||
return 'Hello, welcome to the cat picture server!'
|
|
||||||
|
|
||||||
@app.get('/{path:path}')
|
|
||||||
async def serve_jpeg(path: str):
|
|
||||||
if path.endswith('.jpg'):
|
|
||||||
file_path = path[1:]
|
|
||||||
if os.path.isfile(file_path):
|
|
||||||
return FileResponse(file_path, media_type='image/jpeg')
|
|
||||||
else:
|
|
||||||
return {'detail': 'File not found'}, 404
|
|
||||||
else:
|
|
||||||
return {'detail': 'Only .jpg files are allowed'}, 403
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
import uvicorn
|
|
||||||
uvicorn.run(app, host='0.0.0.0', port=8000)
|
|
||||||
'''
|
|
||||||
|
|
||||||
@@ -1,14 +0,0 @@
|
|||||||
import sys
|
|
||||||
|
|
||||||
# Iterate through the modules in sys.modules
|
|
||||||
for module_name, module in sys.modules.items():
|
|
||||||
# Check if the module has a loader attribute
|
|
||||||
if hasattr(module, '__loader__'):
|
|
||||||
loader = module.__loader__
|
|
||||||
# Determine the type of loader
|
|
||||||
if type(loader).__name__ == 'SourceFileLoader':
|
|
||||||
print(f"Module '{module_name}' has a source loader.")
|
|
||||||
elif type(loader).__name__ == 'BuiltinImporter':
|
|
||||||
print(f"Module '{module_name}' has a built-in loader.")
|
|
||||||
elif type(loader).__name__ == 'ExtensionFileLoader':
|
|
||||||
print(f"Module '{module_name}' has an extension loader.")
|
|
||||||
@@ -1,12 +0,0 @@
|
|||||||
from cx_Freeze import setup, Executable
|
|
||||||
|
|
||||||
executables = [Executable('module-inspector.py')]
|
|
||||||
|
|
||||||
setup(
|
|
||||||
name='wow',
|
|
||||||
version='1.0',
|
|
||||||
description='Module-inspector Application',
|
|
||||||
executables=executables
|
|
||||||
)
|
|
||||||
|
|
||||||
|
|
||||||
@@ -1,47 +0,0 @@
|
|||||||
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))
|
|
||||||
@@ -1,74 +0,0 @@
|
|||||||
import os
|
|
||||||
import sys
|
|
||||||
import importlib.util
|
|
||||||
import types
|
|
||||||
from collections import defaultdict
|
|
||||||
from sys import getsizeof
|
|
||||||
|
|
||||||
|
|
||||||
def get_bytecode_size(module_name):
|
|
||||||
"""Get the size of the cached .pyc bytecode file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin and spec.origin.endswith('.py'):
|
|
||||||
pyc_file = importlib.util.cache_from_source(spec.origin)
|
|
||||||
if os.path.exists(pyc_file):
|
|
||||||
return os.path.getsize(pyc_file)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def get_dso_size(module_name):
|
|
||||||
"""Get the size of the DSO (Dynamic Shared Object) module file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin and spec.origin.endswith(('.so', '.dll')):
|
|
||||||
return os.path.getsize(spec.origin)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def generate_module_report():
|
|
||||||
"""Generate a report summarizing the module environment."""
|
|
||||||
total_modules = len(sys.modules)
|
|
||||||
bytecode_size = sum(get_bytecode_size(module_name) for module_name in sys.modules)
|
|
||||||
dso_size = sum(get_dso_size(module_name) for module_name in sys.modules)
|
|
||||||
python_size = sum(
|
|
||||||
getsizeof(sys.modules[module_name]) - getsizeof(module_name)
|
|
||||||
for module_name in sys.modules
|
|
||||||
if isinstance(sys.modules[module_name], types.ModuleType)
|
|
||||||
)
|
|
||||||
total_size = bytecode_size + dso_size + python_size
|
|
||||||
|
|
||||||
# Calculate percentage of each type of module
|
|
||||||
bytecode_percent = bytecode_size / total_size * 100
|
|
||||||
dso_percent = dso_size / total_size * 100
|
|
||||||
python_percent = python_size / total_size * 100
|
|
||||||
|
|
||||||
# Generate the report
|
|
||||||
report = f"Total modules: {total_modules}\n"
|
|
||||||
report += f"Total size: {total_size} bytes\n"
|
|
||||||
report += f"Bytecode modules: {bytecode_percent:.2f}% ({bytecode_size} bytes)\n"
|
|
||||||
report += f"DSO modules: {dso_percent:.2f}% ({dso_size} bytes)\n"
|
|
||||||
report += f"Python code modules: {python_percent:.2f}% ({python_size} bytes)\n"
|
|
||||||
|
|
||||||
# Generate histogram of module directory names
|
|
||||||
dir_histogram = defaultdict(int)
|
|
||||||
for module_name in sys.modules:
|
|
||||||
module_file = getattr(sys.modules[module_name], '__file__', None)
|
|
||||||
if module_file:
|
|
||||||
module_dir = os.path.dirname(module_file)
|
|
||||||
dir_histogram[module_dir] += 1
|
|
||||||
|
|
||||||
report += "\nModule Directory Histogram:\n"
|
|
||||||
for module_dir, count in dir_histogram.items():
|
|
||||||
report += f"{module_dir}: {'*' * count}\n"
|
|
||||||
|
|
||||||
return report
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
__spec__ = importlib.util.spec_from_file_location('__main__', __file__)
|
|
||||||
report = generate_module_report()
|
|
||||||
print(report)
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
Before Width: | Height: | Size: 16 KiB |
|
Before Width: | Height: | Size: 10 KiB |
|
Before Width: | Height: | Size: 4.2 KiB |
@@ -2,7 +2,6 @@ import sys
|
|||||||
import tkinter as tk
|
import tkinter as tk
|
||||||
from tkinter import ttk
|
from tkinter import ttk
|
||||||
|
|
||||||
|
|
||||||
def on_treeview_heading_click(column, tree):
|
def on_treeview_heading_click(column, tree):
|
||||||
data = [(tree.set(child, column), child) for child in tree.get_children("")]
|
data = [(tree.set(child, column), child) for child in tree.get_children("")]
|
||||||
reverse = (column == tree.heading(column)["text"]) and not column.startswith("_")
|
reverse = (column == tree.heading(column)["text"]) and not column.startswith("_")
|
||||||
@@ -39,10 +38,6 @@ tree.column('#0', width=20, stretch=False)
|
|||||||
|
|
||||||
tree.tag_configure("selected", background="#ccc")
|
tree.tag_configure("selected", background="#ccc")
|
||||||
|
|
||||||
# Call the on_treeview_heading_click function when a column heading is clicked
|
|
||||||
for col in tree["columns"]:
|
|
||||||
tree.heading(col, text=col, anchor=tk.W, command=lambda col=col: on_treeview_heading_click(col, tree))
|
|
||||||
root.mainloop()
|
|
||||||
# Call the on_treeview_heading_click function when a column heading is clicked
|
# Call the on_treeview_heading_click function when a column heading is clicked
|
||||||
for col in tree["columns"]:
|
for col in tree["columns"]:
|
||||||
tree.heading(col, text=col, anchor=tk.W, command=lambda col=col: on_treeview_heading_click(col, tree))
|
tree.heading(col, text=col, anchor=tk.W, command=lambda col=col: on_treeview_heading_click(col, tree))
|
||||||
|
|||||||
|
Before Width: | Height: | Size: 40 KiB |
@@ -1,9 +0,0 @@
|
|||||||
---- BEGIN SSH2 PUBLIC KEY ----
|
|
||||||
Comment: "rsa-key-20230531"
|
|
||||||
AAAAB3NzaC1yc2EAAAADAQABAAABAQDEZW0iQpBPPRGM7QCdc3GqefkqUqq5i727
|
|
||||||
MEYvf7gy0h7Zvz72cvnDtnVF6MknCGVZ1S3uY+HeKUtujE3+z9tJ5zIxO+TxthJe
|
|
||||||
8gbH9MUkElKX8qJN/nF1H4dLiW+77ARsT70rDoHayWccGGnwC/Gs9xXVF+Ni0JD5
|
|
||||||
TKcGoye3Ps2Ni/KJAzkn78JyfrAb+Ail4DG4snCf1q/jXTuB39qYTTg94FJEqwe1
|
|
||||||
dhPIzRiOjFT3eSmHAXdSuAXFjpXAq+bV8R2uxKsgNfvxyV4vlKwFhYTq+kHwDWX7
|
|
||||||
RtLQUUs8mSTfbnL2LuE+T2d8sBtj9wi+gODFl5dDAVZkmuKrRgLF
|
|
||||||
---- END SSH2 PUBLIC KEY ----
|
|
||||||
@@ -1,8 +0,0 @@
|
|||||||
google.cloud.pubsub
|
|
||||||
plotly
|
|
||||||
pandas
|
|
||||||
numpy
|
|
||||||
h5py
|
|
||||||
selenium
|
|
||||||
sqlalchemy
|
|
||||||
flask
|
|
||||||
@@ -0,0 +1,3 @@
|
|||||||
|
hi,this is a test commit.hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit.
|
||||||
|
hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit.
|
||||||
|
hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit. hi,this is a test commit.
|
||||||
@@ -1,21 +0,0 @@
|
|||||||
<!DOCTYPE html>
|
|
||||||
<html>
|
|
||||||
<head>
|
|
||||||
<title>Class Dump</title>
|
|
||||||
</head>
|
|
||||||
<body>
|
|
||||||
<h1>Class Dump</h1>
|
|
||||||
<ul>
|
|
||||||
{% for class in classes %}
|
|
||||||
<li>{{ class.__name__ }}</li>
|
|
||||||
{% endfor %}
|
|
||||||
</ul>
|
|
||||||
|
|
||||||
<h1>User Dump</h1>
|
|
||||||
<ul>
|
|
||||||
{% for user in users %}
|
|
||||||
<li>{{ user }}</li>
|
|
||||||
{% endfor %}
|
|
||||||
</ul>
|
|
||||||
</body>
|
|
||||||
</html>
|
|
||||||
@@ -1,31 +0,0 @@
|
|||||||
class Count:
|
|
||||||
def __init__(self,mymin,mymax):
|
|
||||||
self.mymin=mymin
|
|
||||||
self.mymax=mymax
|
|
||||||
|
|
||||||
def __getattr__(self, item):
|
|
||||||
self.__dict__[item]=0
|
|
||||||
return 0
|
|
||||||
|
|
||||||
obj1 = Count(1,10)
|
|
||||||
print(obj1.mymin)
|
|
||||||
print(obj1.mymax)
|
|
||||||
print(obj1.mycurrent1)
|
|
||||||
|
|
||||||
class Count:
|
|
||||||
|
|
||||||
def __init__(self,mymin,mymax):
|
|
||||||
self.mymin=mymin
|
|
||||||
self.mymax=mymax
|
|
||||||
self.current=None
|
|
||||||
|
|
||||||
def __getattribute__(self, item):
|
|
||||||
if item.startswith('cur'):
|
|
||||||
raise AttributeError
|
|
||||||
return object.__getattribute__(self,item)
|
|
||||||
# or you can use ---return super().__getattribute__(item)
|
|
||||||
|
|
||||||
obj1 = Count(1,10)
|
|
||||||
print(obj1.mymin)
|
|
||||||
print(obj1.mymax)
|
|
||||||
print(obj1.current)
|
|
||||||
@@ -1,14 +0,0 @@
|
|||||||
import sys
|
|
||||||
|
|
||||||
# Iterate through the modules in sys.modules
|
|
||||||
for module_name, module in sys.modules.items():
|
|
||||||
# Check if the module has a loader attribute
|
|
||||||
if hasattr(module, '__loader__'):
|
|
||||||
loader = module.__loader__
|
|
||||||
# Determine the type of loader
|
|
||||||
if type(loader).__name__ == 'SourceFileLoader':
|
|
||||||
print(f"Module '{module_name}' has a source loader.")
|
|
||||||
elif type(loader).__name__ == 'BuiltinImporter':
|
|
||||||
print(f"Module '{module_name}' has a built-in loader.")
|
|
||||||
elif type(loader).__name__ == 'ExtensionFileLoader':
|
|
||||||
print(f"Module '{module_name}' has an extension loader.")
|
|
||||||
@@ -1,12 +0,0 @@
|
|||||||
from cx_Freeze import setup, Executable
|
|
||||||
|
|
||||||
executables = [Executable('module-inspector.py')]
|
|
||||||
|
|
||||||
setup(
|
|
||||||
name='wow',
|
|
||||||
version='1.0',
|
|
||||||
description='Module-inspector Application',
|
|
||||||
executables=executables
|
|
||||||
)
|
|
||||||
|
|
||||||
|
|
||||||
@@ -1,58 +0,0 @@
|
|||||||
import time
|
|
||||||
'''import matplotlib.pyplot as plt'''
|
|
||||||
|
|
||||||
# Durations to measure in seconds
|
|
||||||
durations = [0.01, 0.1, 1.0]
|
|
||||||
|
|
||||||
# Number of repetitions
|
|
||||||
num_repetitions = 100
|
|
||||||
|
|
||||||
# Lists to store jitter for each duration
|
|
||||||
jitter_10ms = []
|
|
||||||
jitter_100ms = []
|
|
||||||
jitter_1s = []
|
|
||||||
|
|
||||||
# Function to measure jitter
|
|
||||||
def measure_jitter(duration):
|
|
||||||
start_time = time.perf_counter_ns()
|
|
||||||
time.sleep(duration)
|
|
||||||
end_time = time.perf_counter_ns()
|
|
||||||
return end_time - start_time
|
|
||||||
|
|
||||||
# Measure jitter for each duration and repeat for num_repetitions times
|
|
||||||
for duration in durations:
|
|
||||||
for _ in range(num_repetitions):
|
|
||||||
jitter = measure_jitter(duration)
|
|
||||||
if duration == 0.01:
|
|
||||||
jitter_10ms.append(jitter)
|
|
||||||
elif duration == 0.1:
|
|
||||||
jitter_100ms.append(jitter)
|
|
||||||
elif duration == 1.0:
|
|
||||||
jitter_1s.append(jitter)
|
|
||||||
'''
|
|
||||||
# Create histograms for each duration's jitter
|
|
||||||
plt.hist(jitter_10ms, bins=10, color='r', alpha=0.5, label='10ms')
|
|
||||||
plt.hist(jitter_100ms, bins=10, color='g', alpha=0.5, label='100ms')
|
|
||||||
plt.hist(jitter_1s, bins=10, color='b', alpha=0.5, label='1s')
|
|
||||||
plt.xlabel('Jitter (ns)')
|
|
||||||
plt.ylabel('Frequency')
|
|
||||||
plt.title('Jitter of time.sleep() for Different Durations')
|
|
||||||
plt.legend()
|
|
||||||
plt.show()
|
|
||||||
'''
|
|
||||||
|
|
||||||
import random
|
|
||||||
import secrets
|
|
||||||
|
|
||||||
# Create a dictionary with 1 million integer keys
|
|
||||||
dict = {}
|
|
||||||
|
|
||||||
for i in range(1000000):
|
|
||||||
# Generate a random 64-byte value as bytes
|
|
||||||
random_value = secrets.token_bytes(64)
|
|
||||||
# Convert the bytes value to hexadecimal representation
|
|
||||||
hex_value = random_value.hex()
|
|
||||||
# Add the key-value pair to the dictionary
|
|
||||||
dict[i] = hex_value
|
|
||||||
|
|
||||||
print("Dictionary created with 1 million integer keys.")
|
|
||||||
@@ -1,51 +0,0 @@
|
|||||||
|
|
||||||
class Vault:
|
|
||||||
def __init__(self):
|
|
||||||
self._treasure = "gold"
|
|
||||||
self._known_good_copy = self.__dict__.copy()
|
|
||||||
|
|
||||||
def __getattribute__(self, name):
|
|
||||||
if name == "treasure":
|
|
||||||
if self.__dict__ != self._known_good_copy:
|
|
||||||
print("Attribute deleted!")
|
|
||||||
return self._treasure
|
|
||||||
else:
|
|
||||||
return object.__getattribute__(self, name)
|
|
||||||
|
|
||||||
def __setattr__(self, name, value):
|
|
||||||
if name != "_treasure" and name != "_known_good_copy":
|
|
||||||
print("Attribute deletion detected!")
|
|
||||||
self._known_good_copy = self.__dict__.copy()
|
|
||||||
object.__setattr__(self, name, value)
|
|
||||||
v = Vault()
|
|
||||||
Vault.treasure = " haha monkeypatched"
|
|
||||||
print(v.treasure)
|
|
||||||
|
|
||||||
'''
|
|
||||||
class Vault:
|
|
||||||
def __init__(self):
|
|
||||||
self._treasure = "gold"
|
|
||||||
self._known_good_copy = self.__dict__.copy()
|
|
||||||
|
|
||||||
def __get__(self, instance, owner):
|
|
||||||
if instance is None:
|
|
||||||
return self
|
|
||||||
else:
|
|
||||||
if instance.__dict__ != self._known_good_copy:
|
|
||||||
print("Attribute deleted!")
|
|
||||||
return self._treasure
|
|
||||||
|
|
||||||
def __set__(self, instance, value):
|
|
||||||
print("Attribute deletion detected!")
|
|
||||||
self._known_good_copy = instance.__dict__.copy()
|
|
||||||
|
|
||||||
def __delete__(self, instance):
|
|
||||||
print("Attribute deletion detected!")
|
|
||||||
self._known_good_copy = instance.__dict__.copy()
|
|
||||||
|
|
||||||
def __set_name__(self, owner, name):
|
|
||||||
self.name = name
|
|
||||||
v = Vault()
|
|
||||||
Vault._treasure = " haha monkeypatched"
|
|
||||||
print(v._treasure)
|
|
||||||
'''
|
|
||||||
@@ -1,17 +0,0 @@
|
|||||||
import asyncio
|
|
||||||
|
|
||||||
# Define a coroutine function
|
|
||||||
async def greet(name):
|
|
||||||
print(f"Hello, {name}!")
|
|
||||||
await asyncio.sleep(1)
|
|
||||||
print(f"Goodbye, {name}!")
|
|
||||||
|
|
||||||
# Call the coroutine function
|
|
||||||
coroutine_obj = greet("Karen")
|
|
||||||
|
|
||||||
# coroutine_obj is a coroutine object, not the actual execution of the coroutine
|
|
||||||
|
|
||||||
# Use an event loop to run the coroutine
|
|
||||||
loop = asyncio.get_event_loop()
|
|
||||||
loop.run_until_complete(coroutine_obj)
|
|
||||||
loop.close()
|
|
||||||
@@ -1,8 +0,0 @@
|
|||||||
def think():
|
|
||||||
x=1
|
|
||||||
def think2():
|
|
||||||
nonlocal x
|
|
||||||
x=2
|
|
||||||
think2()
|
|
||||||
return x
|
|
||||||
print(think())
|
|
||||||
@@ -1,33 +0,0 @@
|
|||||||
'''
|
|
||||||
import sys
|
|
||||||
import importlib.util
|
|
||||||
|
|
||||||
# Load only the sys module
|
|
||||||
importlib.import_module('sys')
|
|
||||||
|
|
||||||
# Check the type of the value associated with the 'os' key
|
|
||||||
os_module = sys.modules['os']
|
|
||||||
os_module_type = type(os_module)
|
|
||||||
|
|
||||||
# Print the type of the value associated with the 'os' key
|
|
||||||
print("Type of the value associated with the 'os' key in sys.modules: {}".format(os_module_type))
|
|
||||||
'''
|
|
||||||
'''
|
|
||||||
import os
|
|
||||||
print(type(os))
|
|
||||||
'''
|
|
||||||
|
|
||||||
import builtins
|
|
||||||
|
|
||||||
# Access the os module from globals()
|
|
||||||
os = globals().get('os', None)
|
|
||||||
|
|
||||||
# Check if os module is available
|
|
||||||
if os is not None:
|
|
||||||
# Call os.getlogin()
|
|
||||||
username = os.getlogin()
|
|
||||||
print("Username:", username)
|
|
||||||
else:
|
|
||||||
print("os module not available")
|
|
||||||
|
|
||||||
|
|
||||||
@@ -1,54 +0,0 @@
|
|||||||
import os
|
|
||||||
import sys
|
|
||||||
import importlib.util
|
|
||||||
import types
|
|
||||||
|
|
||||||
|
|
||||||
def get_bytecode_size(module_name):
|
|
||||||
"""Get the size of the cached .pyc bytecode file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin.endswith('.py'):
|
|
||||||
pyc_file = importlib.util.cache_from_source(spec.origin)
|
|
||||||
if os.path.exists(pyc_file):
|
|
||||||
return os.path.getsize(pyc_file)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def get_dso_size(module_name):
|
|
||||||
"""Get the size of the DSO (Dynamic Shared Object) module file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin.endswith(('.so', '.dll')):
|
|
||||||
return os.path.getsize(spec.origin)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def generate_module_report():
|
|
||||||
"""Generate a report summarizing the module environment."""
|
|
||||||
total_modules = len(sys.modules)
|
|
||||||
bytecode_size = sum(get_bytecode_size(module_name) for module_name in sys.modules)
|
|
||||||
dso_size = sum(get_dso_size(module_name) for module_name in sys.modules)
|
|
||||||
python_size = sum(
|
|
||||||
sys.modules[module_name].__sizeof__()
|
|
||||||
for module_name in sys.modules
|
|
||||||
if isinstance(sys.modules[module_name], types.ModuleType)
|
|
||||||
)
|
|
||||||
total_size = bytecode_size + dso_size + python_size
|
|
||||||
|
|
||||||
# Calculate percentage of each type of module
|
|
||||||
bytecode_percent = bytecode_size / total_size * 100
|
|
||||||
dso_percent = dso_size / total_size * 100
|
|
||||||
python_percent = python_size / total_size * 100
|
|
||||||
|
|
||||||
# Generate the report
|
|
||||||
report = f"Total modules: {total_modules}\n"
|
|
||||||
report += f"Total size: {total_size} bytes\n"
|
|
||||||
report += f"Bytecode modules: {bytecode_percent:.2f}% ({bytecode_size} bytes)\n"
|
|
||||||
report += f"DSO modules: {dso_percent:.2f}% ({dso_size} bytes)\n"
|
|
||||||
report += f"Python code modules: {python_percent:.2f}% ({python_size} bytes)\n"
|
|
||||||
|
|
||||||
return report
|
|
||||||
|
|
||||||
if __name__ == '__main__' and __package__ is None:
|
|
||||||
__spec__ = importlib.util.spec_from_file_location('__main__', __file__)
|
|
||||||
report = generate_module_report()
|
|
||||||
print(report)
|
|
||||||
@@ -1,259 +0,0 @@
|
|||||||
'''
|
|
||||||
import os
|
|
||||||
import sys
|
|
||||||
import importlib.util
|
|
||||||
import types
|
|
||||||
import inspect
|
|
||||||
from collections import defaultdict
|
|
||||||
|
|
||||||
|
|
||||||
def get_bytecode_size(module_name):
|
|
||||||
"""Get the size of the cached .pyc bytecode file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin.endswith('.py'):
|
|
||||||
pyc_file = importlib.util.cache_from_source(spec.origin)
|
|
||||||
if os.path.exists(pyc_file):
|
|
||||||
return os.path.getsize(pyc_file)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def get_dso_size(module_name):
|
|
||||||
"""Get the size of the DSO (Dynamic Shared Object) module file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin.endswith(('.so', '.dll')):
|
|
||||||
return os.path.getsize(spec.origin)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def generate_module_report():
|
|
||||||
"""Generate a report summarizing the module environment."""
|
|
||||||
total_modules = len(sys.modules)
|
|
||||||
bytecode_size = sum(get_bytecode_size(module_name) for module_name in sys.modules)
|
|
||||||
dso_size = sum(get_dso_size(module_name) for module_name in sys.modules)
|
|
||||||
python_size = sum(
|
|
||||||
sys.modules[module_name].__sizeof__()
|
|
||||||
for module_name in sys.modules
|
|
||||||
if isinstance(sys.modules[module_name], types.ModuleType)
|
|
||||||
)
|
|
||||||
total_size = bytecode_size + dso_size + python_size
|
|
||||||
|
|
||||||
# Calculate percentage of each type of module
|
|
||||||
bytecode_percent = bytecode_size / total_size * 100
|
|
||||||
dso_percent = dso_size / total_size * 100
|
|
||||||
python_percent = python_size / total_size * 100
|
|
||||||
|
|
||||||
# Generate the report
|
|
||||||
report = f"Total modules: {total_modules}\n"
|
|
||||||
report += f"Total size: {total_size} bytes\n"
|
|
||||||
report += f"Bytecode modules: {bytecode_percent:.2f}% ({bytecode_size} bytes)\n"
|
|
||||||
report += f"DSO modules: {dso_percent:.2f}% ({dso_size} bytes)\n"
|
|
||||||
report += f"Python code modules: {python_percent:.2f}% ({python_size} bytes)\n"
|
|
||||||
|
|
||||||
# Generate histogram of module directory names
|
|
||||||
dir_histogram = defaultdict(int)
|
|
||||||
for module_name in sys.modules:
|
|
||||||
module_file = sys.modules[module_name].__file__
|
|
||||||
if module_file:
|
|
||||||
module_dir = os.path.dirname(module_file)
|
|
||||||
dir_histogram[module_dir] += 1
|
|
||||||
|
|
||||||
report += "\nModule Directory Histogram:\n"
|
|
||||||
for module_dir, count in dir_histogram.items():
|
|
||||||
report += f"{module_dir}: {'*' * count}\n"
|
|
||||||
|
|
||||||
return report
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__' and __package__ is None:
|
|
||||||
script_path = inspect.getframeinfo(inspect.currentframe()).filename
|
|
||||||
__spec__ = importlib.util.spec_from_loader('__main__', None, origin=script_path)
|
|
||||||
report = generate_module_report()
|
|
||||||
print(report)
|
|
||||||
'''
|
|
||||||
'''
|
|
||||||
import os
|
|
||||||
import sys
|
|
||||||
from importlib.util import find_spec
|
|
||||||
|
|
||||||
def get_module_size(module):
|
|
||||||
spec = find_spec(module)
|
|
||||||
if spec is None:
|
|
||||||
return None
|
|
||||||
if spec.cached:
|
|
||||||
size = os.stat(spec.cached).st_size
|
|
||||||
else:
|
|
||||||
size = os.stat(spec.origin).st_size
|
|
||||||
return size
|
|
||||||
|
|
||||||
def summarize_modules():
|
|
||||||
total_size = 0
|
|
||||||
byte_count = 0
|
|
||||||
dso_count = 0
|
|
||||||
py_count = 0
|
|
||||||
directory_histogram = {}
|
|
||||||
for module_name, module in sys.modules.items():
|
|
||||||
if module is None:
|
|
||||||
continue
|
|
||||||
size = get_module_size(module_name)
|
|
||||||
if size is None:
|
|
||||||
continue
|
|
||||||
total_size += size
|
|
||||||
if module_name.endswith('_bootstrap') or module_name.endswith('_bootstrap_external'):
|
|
||||||
continue
|
|
||||||
if module_name.startswith('_frozen_importlib'):
|
|
||||||
dso_count += 1
|
|
||||||
continue
|
|
||||||
if module_name.startswith('_'):
|
|
||||||
continue
|
|
||||||
if module.__file__.endswith('.pyc'):
|
|
||||||
byte_count += size
|
|
||||||
elif module.__file__.endswith(('.so', '.dll')):
|
|
||||||
dso_count += 1
|
|
||||||
else:
|
|
||||||
py_count += size
|
|
||||||
module_directory = os.path.dirname(os.path.abspath(module.__file__))
|
|
||||||
directory_histogram[module_directory] = directory_histogram.get(module_directory, 0) + 1
|
|
||||||
|
|
||||||
print(f"Total module size: {total_size} bytes")
|
|
||||||
print(f"Bytecode modules: {(byte_count/total_size)*100:.2f}% ({byte_count} bytes)")
|
|
||||||
print(f"DSO modules: {(dso_count/total_size)*100:.2f}% ({dso_count} modules)")
|
|
||||||
print(f"Python modules: {(py_count/total_size)*100:.2f}% ({py_count} bytes)")
|
|
||||||
|
|
||||||
print("Module directory histogram:")
|
|
||||||
for directory, count in directory_histogram.items():
|
|
||||||
print(f"{directory}: {'*' * count}")
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
summarize_modules()
|
|
||||||
'''
|
|
||||||
'''
|
|
||||||
import os
|
|
||||||
import sys
|
|
||||||
from importlib.util import find_spec
|
|
||||||
|
|
||||||
|
|
||||||
def get_module_size(module):
|
|
||||||
spec = find_spec(module)
|
|
||||||
if spec is None:
|
|
||||||
return None
|
|
||||||
if spec.cached:
|
|
||||||
size = os.stat(spec.cached).st_size
|
|
||||||
else:
|
|
||||||
size = os.stat(spec.origin).st_size
|
|
||||||
return size
|
|
||||||
|
|
||||||
|
|
||||||
def summarize_modules():
|
|
||||||
total_size = 0
|
|
||||||
byte_count = 0
|
|
||||||
dso_count = 0
|
|
||||||
py_count = 0
|
|
||||||
directory_histogram = {}
|
|
||||||
for module_name, module in sys.modules.items():
|
|
||||||
if module is None:
|
|
||||||
continue
|
|
||||||
size = get_module_size(module_name)
|
|
||||||
if size is None:
|
|
||||||
continue
|
|
||||||
total_size += size
|
|
||||||
if module_name.endswith('_bootstrap') or module_name.endswith('_bootstrap_external'):
|
|
||||||
continue
|
|
||||||
if module_name.startswith('_frozen_importlib'):
|
|
||||||
dso_count += 1
|
|
||||||
continue
|
|
||||||
if module_name.startswith('_'):
|
|
||||||
continue
|
|
||||||
if module.__file__.endswith('.pyc'):
|
|
||||||
byte_count += size
|
|
||||||
elif module.__file__.endswith(('.so', '.dll')):
|
|
||||||
dso_count += 1
|
|
||||||
else:
|
|
||||||
py_count += size
|
|
||||||
module_directory = os.path.dirname(os.path.abspath(module.__file__))
|
|
||||||
directory_histogram[module_directory] = directory_histogram.get(module_directory, 0) + 1
|
|
||||||
|
|
||||||
print(f"Total module size: {total_size} bytes")
|
|
||||||
print(f"Bytecode modules: {(byte_count/total_size)*100:.2f}% ({byte_count} bytes)")
|
|
||||||
print(f"DSO modules: {(dso_count/total_size)*100:.2f}% ({dso_count} modules)")
|
|
||||||
print(f"Python modules: {(py_count/total_size)*100:.2f}% ({py_count} bytes)")
|
|
||||||
|
|
||||||
print("Module directory histogram:")
|
|
||||||
for directory, count in directory_histogram.items():
|
|
||||||
print(f"{directory}: {'*' * count}")
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == '__main__':
|
|
||||||
summarize_modules()
|
|
||||||
'''
|
|
||||||
|
|
||||||
import os
|
|
||||||
import sys
|
|
||||||
import importlib.util
|
|
||||||
import types
|
|
||||||
from collections import defaultdict
|
|
||||||
|
|
||||||
|
|
||||||
def get_bytecode_size(module_name):
|
|
||||||
"""Get the size of the cached .pyc bytecode file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin.endswith('.py'):
|
|
||||||
pyc_file = importlib.util.cache_from_source(spec.origin)
|
|
||||||
if os.path.exists(pyc_file):
|
|
||||||
return os.path.getsize(pyc_file)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def get_dso_size(module_name):
|
|
||||||
"""Get the size of the DSO (Dynamic Shared Object) module file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin.endswith(('.so', '.dll')):
|
|
||||||
return os.path.getsize(spec.origin)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def generate_module_report():
|
|
||||||
"""Generate a report summarizing the module environment."""
|
|
||||||
total_modules = len(sys.modules)
|
|
||||||
bytecode_size = sum(get_bytecode_size(module_name) for module_name in sys.modules)
|
|
||||||
dso_size = sum(get_dso_size(module_name) for module_name in sys.modules)
|
|
||||||
python_size = sum(
|
|
||||||
sys.modules[module_name].__sizeof__()
|
|
||||||
for module_name in sys.modules
|
|
||||||
if isinstance(sys.modules[module_name], types.ModuleType)
|
|
||||||
)
|
|
||||||
total_size = bytecode_size + dso_size + python_size
|
|
||||||
|
|
||||||
# Calculate percentage of each type of module
|
|
||||||
bytecode_percent = bytecode_size / total_size * 100
|
|
||||||
dso_percent = dso_size / total_size * 100
|
|
||||||
python_percent = python_size / total_size * 100
|
|
||||||
|
|
||||||
# Generate the report
|
|
||||||
report = f"Total modules: {total_modules}\n"
|
|
||||||
report += f"Total size: {total_size} bytes\n"
|
|
||||||
report += f"Bytecode modules: {bytecode_percent:.2f}% ({bytecode_size} bytes)\n"
|
|
||||||
report += f"DSO modules: {dso_percent:.2f}% ({dso_size} bytes)\n"
|
|
||||||
report += f"Python code modules: {python_percent:.2f}% ({python_size} bytes)\n"
|
|
||||||
|
|
||||||
# Generate histogram of module directory names
|
|
||||||
dir_histogram = defaultdict(int)
|
|
||||||
for module_name in sys.modules:
|
|
||||||
module_file = sys.modules[module_name].__file__
|
|
||||||
if module_file:
|
|
||||||
module_dir = os.path.dirname(module_file)
|
|
||||||
dir_histogram[module_dir] += 1
|
|
||||||
|
|
||||||
report += "\nModule Directory Histogram:\n"
|
|
||||||
for module_dir, count in dir_histogram.items():
|
|
||||||
report += f"{module_dir}: {'*' * count}\n"
|
|
||||||
|
|
||||||
return report
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
report = generate_module_report()
|
|
||||||
print(report)
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
@@ -1,77 +0,0 @@
|
|||||||
import os
|
|
||||||
import sys
|
|
||||||
import importlib.util
|
|
||||||
import types
|
|
||||||
from collections import defaultdict
|
|
||||||
from sys import getsizeof
|
|
||||||
|
|
||||||
|
|
||||||
def get_bytecode_size(module_name):
|
|
||||||
"""Get the size of the cached .pyc bytecode file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin and spec.origin.endswith('.py'):
|
|
||||||
pyc_file = importlib.util.cache_from_source(spec.origin)
|
|
||||||
if os.path.exists(pyc_file):
|
|
||||||
return os.path.getsize(pyc_file)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def get_dso_size(module_name):
|
|
||||||
"""Get the size of the DSO (Dynamic Shared Object) module file for a module."""
|
|
||||||
spec = importlib.util.find_spec(module_name)
|
|
||||||
if spec and spec.origin and spec.origin.endswith(('.so', '.dll')):
|
|
||||||
return os.path.getsize(spec.origin)
|
|
||||||
return 0
|
|
||||||
|
|
||||||
|
|
||||||
def generate_module_report():
|
|
||||||
"""Generate a report summarizing the module environment."""
|
|
||||||
total_modules = len(sys.modules)
|
|
||||||
bytecode_size = sum(get_bytecode_size(module_name) for module_name in sys.modules)
|
|
||||||
dso_size = sum(get_dso_size(module_name) for module_name in sys.modules)
|
|
||||||
python_size = sum(
|
|
||||||
getsizeof(sys.modules[module_name]) - getsizeof(module_name)
|
|
||||||
for module_name in sys.modules
|
|
||||||
if isinstance(sys.modules[module_name], types.ModuleType)
|
|
||||||
)
|
|
||||||
total_size = bytecode_size + dso_size + python_size
|
|
||||||
|
|
||||||
# Calculate percentage of each type of module
|
|
||||||
bytecode_percent = bytecode_size / total_size * 100
|
|
||||||
dso_percent = dso_size / total_size * 100
|
|
||||||
python_percent = python_size / total_size * 100
|
|
||||||
|
|
||||||
# Generate the report
|
|
||||||
report = f"Total modules: {total_modules}\n"
|
|
||||||
report += f"Total size: {total_size} bytes\n"
|
|
||||||
report += f"Bytecode modules: {bytecode_percent:.2f}% ({bytecode_size} bytes)\n"
|
|
||||||
report += f"DSO modules: {dso_percent:.2f}% ({dso_size} bytes)\n"
|
|
||||||
report += f"Python code modules: {python_percent:.2f}% ({python_size} bytes)\n"
|
|
||||||
|
|
||||||
# Generate histogram of module directory names
|
|
||||||
dir_histogram = defaultdict(int)
|
|
||||||
for module_name in sys.modules:
|
|
||||||
module_file = getattr(sys.modules[module_name], '__file__', None)
|
|
||||||
if module_file:
|
|
||||||
module_dir = os.path.dirname(module_file)
|
|
||||||
dir_histogram[module_dir] += 1
|
|
||||||
|
|
||||||
report += "\nModule Directory Histogram:\n"
|
|
||||||
for module_dir, count in dir_histogram.items():
|
|
||||||
report += f"{module_dir}: {'*' * count}\n"
|
|
||||||
|
|
||||||
return report
|
|
||||||
|
|
||||||
|
|
||||||
if __name__ == "__main__":
|
|
||||||
__spec__ = importlib.util.spec_from_file_location('__main__', __file__)
|
|
||||||
report = generate_module_report()
|
|
||||||
print(report)
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
report = generate_module_report()
|
|
||||||
print(report)
|
|
||||||
@@ -1,63 +0,0 @@
|
|||||||
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
|
|
||||||
|
|
||||||
project_id = "fp-20230425"
|
|
||||||
subscription_name = "fp-subscription-NFL-zipcodes"
|
|
||||||
url = "https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f"
|
|
||||||
|
|
||||||
df_new = get_product_prices(project_id, subscription_name, url)
|
|
||||||
|
|
||||||
'''
|
|
||||||
# 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)
|
|
||||||
'''
|
|
||||||
|
|
||||||
|
|
||||||
# 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.")
|
|
||||||
@@ -1,45 +0,0 @@
|
|||||||
# Selected
|
|
||||||
# Want-Want Rice Crackers
|
|
||||||
url = 'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119'
|
|
||||||
|
|
||||||
# Lay's Potato Chips
|
|
||||||
url = 'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261'
|
|
||||||
|
|
||||||
# Pocky Cookies
|
|
||||||
url = 'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467'
|
|
||||||
|
|
||||||
# Thai Jasmine Rice
|
|
||||||
url = 'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01'
|
|
||||||
|
|
||||||
# Japanese Medium Grain Rice
|
|
||||||
url = 'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224'
|
|
||||||
|
|
||||||
# Millet
|
|
||||||
url = 'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02'
|
|
||||||
|
|
||||||
# Nature's Soy Firm Tofu: https://www.sayweee.com/zh/product/Nature-s-Soy-Firm-Tofu-/19231?trace_id=ee63a29e-a1e4-4065-b213-96aa14a15521
|
|
||||||
|
|
||||||
# Free 2% Reduced Fat Milk: https://www.sayweee.com/zh/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353?trace_id=3030fe4c-04fc-4f8f-9257-7f6395b9e513
|
|
||||||
|
|
||||||
# Washington Fuji Apples: https://www.sayweee.com/zh/product/Washington-Fuji-Apples/94817?trace_id=dc4955fc-bba8-48cf-b1f9-9db3cf077eed
|
|
||||||
|
|
||||||
# Greenlandic Sweet Prawns: https://www.sayweee.com/zh/product/Royal-Greenland-Cooked-Wild-Caught-Greenlandic-Sweet-Prawns-Frozen-1/44656?category=seafood01
|
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
# Optional
|
|
||||||
# LuoSiFen
|
|
||||||
url = 'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01'
|
|
||||||
|
|
||||||
# Rice Noodles
|
|
||||||
url = 'https://www.sayweee.com/en/product/Sanyangyishi-Fresh-Instant-Rice-Noodles/2156?category=instant01'
|
|
||||||
|
|
||||||
# Cup Noodles
|
|
||||||
url = 'https://www.sayweee.com/en/product/Nissin-Beef-Flavor-Cup-Noodles/102519?category=instant01'
|
|
||||||
|
|
||||||
# Pork Sung
|
|
||||||
url = 'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?category=canned04'
|
|
||||||
|
|
||||||
# Nature's Soy Firm Tofu: https://www.sayweee.com/zh/product/Nature-s-Soy-Firm-Tofu-/19231?trace_id=ee63a29e-a1e4-4065-b213-96aa14a15521
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# [Not available or sold out in some area] Beef Ribeye Thin Slices: https://www.sayweee.com/zh/product/Beef-Ribeye-Thin-Slices--Frozen-1/4295?category=meat02
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# Shiitake Mushrooms: https://www.sayweee.com/zh/product/Shiitake-Mushrooms/45782?trace_id=ba388941-f631-4eaa-8570-5b7d4aba64e7
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@@ -1,33 +0,0 @@
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ZIP Code
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85305
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30313
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21230
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14127
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28202
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60605
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45202
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76011
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80204
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54304
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77054
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46225
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32202
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64129
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90301
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90301
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33056
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55415
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02035
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70112
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07073
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07073
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19148
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15212
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95054
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98134
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33607
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37213
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20785
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