This fixes issue #1 #2
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@@ -11,259 +11,241 @@ from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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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 selenium.common.exceptions
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import re
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import re
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import datetime
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from datetime import datetime
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import h5py
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import h5py
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import sys
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import ntplib
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import arrow
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# 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"
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# 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"
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# Create an empty dataframe to store the prices
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def get_product_prices(project_id, subscription_name, url):
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df_new = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
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# Create an empty dataframe to store the prices
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print(f"Created a dataframe: {df_new}")
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df_new = 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_new}")
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# Configure the Selenium driver options
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# Configure the Selenium driver options
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options = Options()
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options = Options()
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options.add_argument('--disable-gpu')
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options.add_argument('--disable-gpu')
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driver = webdriver.Chrome(options=options)
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driver = webdriver.Chrome(options=options)
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# Set up Pub/Sub subscription
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# Set up Pub/Sub subscription
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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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# Load the product page and extract the __NEXT_DATA__ data
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url = 'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f'
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product_id = url.split("/")[-1][:5]
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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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# time.sleep(5)
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def get_element_text(class_name_prefix):
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'''
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'''
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Return the text in the first element with a given class name.
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project_id = "fp-20230425"
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subscription_name = "fp-subscription-NFL-zipcodes"
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Note that XPath doesn't have a function to check if a given word is present
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in a list of words, so using contains() will match a class name even if
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the class name is a substring of the class name being matched against.
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To prevent this, we use spaces as a delimiter at the beginning and end of
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the class name, and ensure there's only one space before and after all
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class names in the class name list.
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Example: consider two class names with cache-busting suffixes:
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* Header_soldStatusNotice__12345
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* Header_soldStatusNoticeBackground__ABCDE
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Matching against Header_soldStatusNotice using a naive implementation with
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`contains()` would match both class names, even though only the first one
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is the correct match.
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'''
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'''
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# Construct xpath selector.
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subscriber = pubsub_v1.SubscriberClient()
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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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subscription_path = subscriber.subscription_path(project_id, subscription_name)
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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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# We didn't find a match, try again by doing a prefix match and assume
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# the full class name ends with two underscores followed by a cache-
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# busting string.
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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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# No match, return empty string.
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return ''
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# time.sleep(2)
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# Load the product page and extract the __NEXT_DATA__ data
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# Close the cookies setting window
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# url = 'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f'
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try:
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product_id = url.split("/")[-1][:5]
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# cookie_button = driver.find_element(By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button")
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# product_id = url.split("/")[-1]
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cookie_button = WebDriverWait(driver, 2).until(
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driver.delete_all_cookies
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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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driver.get(url)
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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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# time.sleep(1)
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def get_element_text(class_name_prefix):
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# Clear any modal dialog
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'''
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try:
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Return the text in the first element with a given class name.
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# modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
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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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)
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print(f"modal_close = {modal_close}")
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modal_close.click()
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#time.sleep(2)
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except:
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pass
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# Define callback function for Pub/Sub messages
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Note that XPath doesn't have a function to check if a given word is present
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def callback(message):
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in a list of words, so using contains() will match a class name even if
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# Extract zip code from message data
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the class name is a substring of the class name being matched against.
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zip_code = message.message.data.decode('utf-8')
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To prevent this, we use spaces as a delimiter at the beginning and end of
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the class name, and ensure there's only one space before and after all
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class names in the class name list.
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print(f"Received zip code: {zip_code}")
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Example: consider two class names with cache-busting suffixes:
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* Header_soldStatusNotice__12345
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* Header_soldStatusNoticeBackground__ABCDE
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try:
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Matching against Header_soldStatusNotice using a naive implementation with
|
||||||
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`contains()` would match both class names, even though only the first one
|
||||||
|
is the correct match.
|
||||||
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'''
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# Construct xpath selector.
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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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||||||
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xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
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||||||
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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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try:
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# time.sleep(2)
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match = driver.find_element(By.XPATH, xpath_str)
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# Clear any modal dialog
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return match.get_attribute('textContent')
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# modal_close = driver.find_element(By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")
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except selenium.common.exceptions.NoSuchElementException as nsee:
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modal_close = WebDriverWait(driver, 2).until(
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pass
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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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# We didn't find a match, try again by doing a prefix match and assume
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# print(f"modal_close = {modal_close}")
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# the full class name ends with two underscores followed by a cache-
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# busting string.
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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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# No match, return empty string.
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return ''
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def modal_close():
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try:
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modal_close = WebDriverWait(driver, 2).until(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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modal_close.click()
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# time.sleep(2)
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except:
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except:
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pass
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pass
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def notice_close():
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try:
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try:
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# time.sleep(1)
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# Clear any notice
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# Clear any notice
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# notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
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notice_close = WebDriverWait(driver, 5).until(
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EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button"))
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)
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# print(f"notice_close = {notice_close}")
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notice_close.click()
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# time.sleep(1)
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except:
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pass
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# Enter zip code in the input field and click the "Check" button
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# zip_button = driver.find_element(By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]')
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zip_button = WebDriverWait(driver, 5).until(
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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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)
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# print(f"{zip_button:}")
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zip_button.click()
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# time.sleep(1)
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# zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
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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']")
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check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
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# print(f"{check_button:}")
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check_button.click()
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# time.sleep(2)
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try:
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# time.sleep(2)
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# Clear any notice
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# notice_close = driver.find_element(By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")
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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")))
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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")))
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# print(f"notice_close = {notice_close}")
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# print(f"notice_close = {notice_close}")
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notice_close.click()
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notice_close.click()
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#time.sleep(2)
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except:
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except:
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pass
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pass
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try:
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def cookie_close():
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# Clear any modal dialog
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try:
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modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
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cookie_button = WebDriverWait(driver, 2).until(
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# print(f"modal_close = {modal_close}")
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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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modal_close.click()
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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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except:
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pass
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pass
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# Record sales count, if any
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cookie_close()
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sales_count_element = get_element_text('Header_count')
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modal_close()
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count_start_index = sales_count_element.index('sold ') + len('sold ')
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# Define callback function for Pub/Sub messages
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count_end_index = sales_count_element.index('+')
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def callback(message):
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sales_count = sales_count_element[count_start_index:count_end_index]
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# Extract zip code from message data
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# Record any sold status notice
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zip_code = message.message.data.decode('utf-8')
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sold_status = get_element_text('UnavailableCartbtn_container')
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if sold_status == 'Notify me':
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print(f"Received zip code: {zip_code}")
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sold_status = 'Sold Out'
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# Extract the price of rice crackers for this zip code
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# Check if there is a minimum order quantity
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min_quantity: float = 0
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total_price: float = 0
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unit_price: float = 0
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try:
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try:
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minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(@class, 'minQuantity')]").get_attribute('innerHTML')
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if minimum_quantity_str:
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modal_close()
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regexp = "Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
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notice_close()
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match = re.search(regexp,minimum_quantity_str)
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min_quantity, total_price = match.groups()
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# Enter zip code in the input field and click the "Check" button
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except selenium.common.exceptions.NoSuchElementException as nsee:
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zip_button = WebDriverWait(driver, 5).until(
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print("No minimum purhcase string found")
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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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)
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# print(f"{zip_button:}")
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zip_button.click()
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# zip_input = driver.find_element(By.XPATH, '//div/label/following-sibling::input')
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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']")
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check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
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# print(f"{check_button:}")
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check_button.click()
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notice_close()
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modal_close()
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# Record sales count, if any
|
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sales_count_element = get_element_text('Header_count')
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count_start_index = sales_count_element.index('sold ') + len('sold ')
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count_end_index = sales_count_element.index('+')
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sales_count = sales_count_element[count_start_index:count_end_index]
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# Record any sold status notice
|
||||||
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sold_status = get_element_text('UnavailableCartbtn_container')
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if sold_status == 'Notify me':
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sold_status = 'Sold Out'
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||||||
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||||||
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# Extract the price of rice crackers for this zip code
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||||||
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# Check if there is a minimum order quantity
|
||||||
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min_quantity: float = 0
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||||||
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total_price: float = 0
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unit_price: float = 0
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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:
|
except Exception as e:
|
||||||
print(f"Exception when finding minimum purchase string: {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)
|
||||||
|
|
||||||
|
|
||||||
ld_json_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
|
df_new = get_product_prices("fp-20230425", "fp-subscription-NFL-zipcodes", "https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119")
|
||||||
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, new_row], ignore_index=True)
|
|
||||||
#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}")
|
|
||||||
price = 'Price not found'
|
|
||||||
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}")
|
|
||||||
else:
|
|
||||||
print(f"no messages, trying again at {time.asctime()}")
|
|
||||||
break
|
|
||||||
|
|
||||||
# Now we have the new dataframe "df" recording the new price listed in weee's page
|
# Now we have the new dataframe "df" recording the new price listed in weee's page
|
||||||
# Load such data in the existing HDF5 file
|
# Load such data in the existing HDF5 file
|
||||||
@@ -274,7 +256,18 @@ with h5py.File(file_path, 'a') as file:
|
|||||||
df = pd.read_hdf(file, key='df')
|
df = pd.read_hdf(file, key='df')
|
||||||
|
|
||||||
# Add timestamp to the new dataframe "df_new"
|
# Add timestamp to the new dataframe "df_new"
|
||||||
timestamp = datetime.datetime.now()
|
# 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
|
df_new['Timestamp'] = timestamp
|
||||||
|
|
||||||
# Append 'df_new' to the existing df stored in the key
|
# Append 'df_new' to the existing df stored in the key
|
||||||
@@ -284,4 +277,4 @@ with h5py.File(file_path, 'a') as file:
|
|||||||
# REPLACE KEY FOR DIFFERENT PRODUCT
|
# REPLACE KEY FOR DIFFERENT PRODUCT
|
||||||
df_update.to_hdf(file, key='df', mode='a')
|
df_update.to_hdf(file, key='df', mode='a')
|
||||||
|
|
||||||
print("Data appended and saved successfully.")
|
print("Data appended and saved successfully.")
|
||||||
|
|||||||
@@ -0,0 +1,63 @@
|
|||||||
|
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.")
|
||||||
Reference in New Issue
Block a user