64 Commits
Author SHA1 Message Date
scott.liu d2bb4dc72a Updates on the notes of 3.1 and 3.2 2023-06-13 03:40:56 -07:00
cheezedoodle2andcheezedoodle2 14dbd3ed39 Removed bytecode that caused problems during testing
https://gogs.gtsplab.com:5432/SVIG/python-bootcamp/wiki/6-7-2023+Cohort+2+Sync+Notes
2023-06-12 17:16:04 -07:00
shunan.z df963da832 this is my answer for runing the PDB in PowerShell. 2023-06-12 13:23:01 -05:00
shunan.z 49b7d7134b rewrite question 3 2023-06-11 16:23:26 -05:00
shunan.z df793f5ae9 Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-06-09 19:19:02 -05:00
scott.liu 582e2bcfe1 HW7 with py, testpy, and two txt 2023-06-09 17:04:23 -07:00
shunan.z 2ca60ee9f9 Some changes for Shunan's HW 2023-06-09 18:53:55 -05:00
shunan.z e75cba4117 Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-06-09 13:06:32 -05:00
shunan.z 2556ad33ca shunan zhao HW 2023-06-09 13:05:45 -05:00
scott.liu 70581e083e Tried some pdb test in real code 2023-06-08 16:59:21 -07:00
cheezedoodle2 de08f52211 Don't allow bytecode to be checked in 2023-06-07 18:55:34 -07:00
shunan.z 7ab36cc4c5 Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-06-07 19:56:05 -05:00
shunan.z dd85aebb88 Resubmit for HW 6.7 2023-06-07 19:56:03 -05:00
scott.liu 21661d71ee . 2023-06-07 17:05:28 -07:00
scott.liu 34e39ba1d9 This is the hm6 2023-06-07 17:05:28 -07:00
shunan.z 71750bd96c Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-06-07 17:58:24 -05:00
shunan.z 12474cca3f Shunan.z_HW 2023-06-07 17:58:22 -05:00
scott.liu 3df5a742d8 My HW5 2023-06-06 16:48:01 -07:00
shunan.z facd334915 Shunan.z_HW 2023-06-06 09:38:17 -05:00
shunan.z 5732b28b4e Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-06-05 19:09:41 -05:00
shunan.z c3e0c45786 Shunan.z 2023-06-05 09:02:18 -05:00
scott.liu d807bd6b3b HW4 by Scott 2023-06-05 03:19:34 -07:00
cheezedoodle2 60aaa1ebb8 Added lexer/parser skeleton 2023-06-01 18:00:18 -07:00
leonhuang 79f8a7f5cc Homework3 2023-05-31 19:15:53 -05:00
leonhuang cfe8be26e0 Homework3 2023-05-31 18:27:25 -05:00
shunan.z 805c5c275e Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-05-31 10:24:30 -05:00
shunan.z 83859026be shunan.z_HW 2023-05-31 10:24:26 -05:00
scott.liu 5efb942978 This is HW3 for May30 2023-05-31 03:16:00 -07:00
cheezedoodle2 74f9527832 Updated launch configurations 2023-05-30 17:08:53 -07:00
leonhuang 081471fa5d Homework2 2023-05-26 15:14:12 -05:00
leonhuang 291ba82046 Homework2 2023-05-26 14:58:20 -05:00
leonhuang 14ed1783f9 Homework2 2023-05-26 14:51:43 -05:00
shunan.z 74545a6ad1 Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-05-26 09:39:45 -05:00
shunan.z b6be9c9488 Shunan_z_HW2 2023-05-26 09:39:40 -05:00
scott.liu 716e254905 This is my hw2 2023-05-26 03:28:24 -07:00
leonhuang 161a4e28db Homework1 2023-05-25 14:28:54 -05:00
leonhuang 5af112ebae Leon's Submussions 2023-05-25 14:03:09 -05:00
shunan.z 5d36a06987 HW1_shunan_zhao 2023-05-25 11:46:29 -05:00
shunan.z b4f174be47 HW1_shunan_zhao 2023-05-25 11:14:38 -05:00
scott.liu 46acaf2e75 Scott;s Folder 2023-05-25 03:49:05 -07:00
scott.liu 28c277f369 something casual 2023-05-24 17:30:29 -07:00
shunan.z 02146e348d delete 2023-05-18 20:33:21 -05:00
shunan.z 9df129681d delete 2023-05-18 20:29:32 -05:00
shunan.z a566adc1df 新的 2023-05-18 20:28:30 -05:00
shunan.z aa1a8fee93 aaaaaaaaaaaaaaaaaaaaaaaaaa 2023-05-18 20:25:54 -05:00
shunan.z 285914f044 Merge branch 'main' of https://gogs.gtsplab.com:5432/SVIG/python-bootcamp 2023-05-18 19:34:44 -05:00
leonhuang da2c779bcd adfafafafsafafasfasfasfafafafsagagafafaagagagagagag 2023-05-18 19:27:06 -05:00
leonhuang 7259509d9e adadjalkfjlaskfjlaksfjlaskfjlkasfjlakfjakfjlasfjlgjslga 2023-05-18 19:27:06 -05:00
shunan.z b085e13c4e I like badminton. 2023-05-18 19:18:48 -05:00
scott.liu 59e84426af A brain teaser 2023-05-18 16:59:41 -07:00
scott.liu 97f93ebd8e A brain teaser w/ answer 2023-05-18 16:58:54 -07:00
scott.liu 35c8889e77 A brain teaser 2023-05-18 16:56:56 -07:00
cheezedoodle2 dca7e9d599 foo 2023-05-18 12:47:27 -07:00
cheezedoodle2 ce856e5626 foo 2023-05-18 12:44:01 -07:00
cheezedoodle2 072032e80e foo 2023-05-18 12:39:46 -07:00
cheezedoodle2 235e7b5268 foo 2023-05-18 12:38:03 -07:00
cheezedoodle2 22fa096271 Removed foo 2023-05-18 03:08:11 -07:00
scott.liu 13eb12bf69 An update on the test file 2023-05-18 02:49:43 -07:00
scott.liu efa189d0b6 Commit 2 2023-05-18 02:33:11 -07:00
scott.liu 111f551a39 This is a test commit 2023-05-18 02:33:11 -07:00
cheezedoodle2 e0fd81dc1d foo 2023-05-18 02:21:48 -07:00
cheezedoodle2 420194ef54 Removed test file 2023-05-17 17:31:15 -07:00
cheezedoodle2 632448c249 added test file 2023-05-17 17:30:22 -07:00
Sloetjes c3405d56e5 Homework for web server 2023-04-19 20:45:08 -04:00
102 changed files with 1774 additions and 4048 deletions
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.DS_Store
geckodriver.log
.gitignore
*.pyc
*/__pycache__
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"program": "simulation/SimulationRunner.py",
"justMyCode": true,
"args": "./HotdogSimulation.py"
},
{
"name": "Python: File",
"type": "python",
"request": "launch",
"program": "${file}",
"justMyCode": true
}
]
}
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# Question 1:
# The international standard for floating-point representation is
# called the "IEEE 754 Standard for Floating-Point Arithmetic."
# Question 2:
# 32-bit and 64-bit formats are the most widely used ones in practice.
# Question 3:
# My computer supports all these formats
import numpy as np
supported_formats = np.finfo(np.float32).bits, np.finfo(np.float64).bits
print(f"Your computer supports the following floating-point formats: {supported_formats}")
# Question 4:
# Using the Pandas multiplication operator (df['Number1'] * df['Number2'])
# , the result is automatically converted to a floating-point data type.
# On the other hand, when I multiply the numbers using the normal Python
# multiplication operator (num1 * num2), the result remains an integer
# data type.
# Question 5:
# The size of a floating-point number in memory is primarily determined
# by the data type and not the actual value it represents. So the size
# of a Python floating-point number does not change as it gets larger.
import sys
print(sys.getsizeof(70))
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# Question 7:
# 1. Strings in Python are sequences of Unicode characters, while bytes
# are sequences of raw binary data.
# 2. Strings in Python are immutable, bytes objects are mutable
# 3. Strings in Python are encoded using a specific character encoding,
# bytes objects do not have an inherent encoding and represent raw binary
# data.
import sys
string_example = "Hello"
bytes_example = b"Hello"
string_size = sys.getsizeof(string_example)
bytes_size = sys.getsizeof(bytes_example)
print("Size of string:", string_size)
print("Size of bytes:", bytes_size)
# Emojis are represented using Unicode characters, which require more
# bytes to store compared to ASCII characters. Therefore, if you have
# a string that contains emojis, its size will be larger than a string
# without emojis.
def print_string_as_numbers(input_string):
for char in input_string:
print(ord(char), end=' ')
# Example usage
input_string = "Hello, World!"
print_string_as_numbers(input_string)
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# Question 8: It assumes that the CSV file being read
# (tomato_sales_error.csv) has a column named "Tomato_Sales."
# If the column doesn't exist in the CSV file or if there is an issue
# with the file itself, an error will be raised.
# Question 9:
import pandas as pd
def read_tomato_sales(file_name):
data = pd.read_csv(file_name)
# Ensure required columns exist
required_columns = ["Store", "Region", "Tomato_Sales"]
missing_columns = set(required_columns) - set(data.columns)
if missing_columns:
raise ValueError(f"Invalid CSV format: Missing columns: {', '.join(missing_columns)}")
# Validate Tomato_Sales column
tomato_sales = data["Tomato_Sales"]
if not tomato_sales.dtype == int and not tomato_sales.dtype == float:
raise ValueError("Invalid CSV format: 'Tomato_Sales' column must contain numerical values.")
# Calculate total tomato sales
total_sales = tomato_sales.sum()
print(f"Total tomato sales: {total_sales}")
# Question 10: Bytes represent raw binary data, while strings represent
# textual data. Using bytes allows us to handle various character
# encodings. By working with bytes, we can ensure that the data remains in
# its raw encoded form, allowing for accurate handling of different
# encodings.
# In the interactive Python REPL (Read-Eval-Print Loop), the "_" variable
# is a special variable that is automatically assigned the result of the
# last expression evaluated. The type of the "_" variable reflects the
# type of the last expression evaluated in the REPL.
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print('Hi')
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import multiprocessing
import subprocess
import concurrent.futures
from google.cloud import pubsub_v1
from google.api_core.exceptions import DeadlineExceeded
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
import json
import time
import os
from concurrent.futures import TimeoutError
import pandas as pd
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
import selenium.common.exceptions
import re
from fp2_14 import get_product_prices
# Define the subset of urls
url_list = [
'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119',
'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261',
'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467',
'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01',
'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224',
'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02',
'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01',
'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f',
'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353',
'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03',
'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?trace_id=3c143dd4-4a35-4e8d-93ee-d91f209717e7'
]
# Create a pool of worker processes
# pool = multiprocessing.Pool(cpu_count)
# Define the function to run the scraper
def run_scraper(url):
# scraping logic
df = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
print(f"Created a dataframe: {df}")
product_id = url.split("/")[-1][:5]
options = Options()
options.add_argument('--disable-gpu')
driver = webdriver.Chrome(options=options)
project_id = "fp-20230425"
subscription_name = "fp-subscription-NFL-zipcodes"
subscriber = pubsub_v1.SubscriberClient()
subscription_path = subscriber.subscription_path(project_id, subscription_name)
# product_id = url.split("/")[-1]
driver.delete_all_cookies
driver.get(url)
def get_element_text(class_name_prefix):
xpath_str = "//*[contains(" # Step 1: search for a class name by matching the beginning of the class name against...
xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
xpath_str += "normalize-space(@class), " # Step 3: the list of class names, separated by single spaces...
xpath_str += "' '), " # Step 4: a trailing space...
xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
try:
match = driver.find_element(By.XPATH, xpath_str)
return match.get_attribute('textContent')
except selenium.common.exceptions.NoSuchElementException as nsee:
pass
xpath_str = "//*[contains(" # Step 1: search for a class name by matching the beginning of the class name against...
xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
xpath_str += "normalize-space(@class)), " # Step 3: the list of class names, separated by single spaces...
xpath_str += f"' {class_name_prefix}__')]" # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
try:
match = driver.find_element(By.XPATH, xpath_str)
return match.get_attribute('textContent')
except selenium.common.exceptions.NoSuchElementException as nsee:
pass
return ''
# Close the cookies setting window
try:
cookie_button = WebDriverWait(driver, 2).until(
EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
)
print(f"cookie_button = {cookie_button}")
cookie_button.click()
except:
pass
# Clear any modal dialog
try:
modal_close = WebDriverWait(driver, 2).until(
EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
)
print(f"modal_close = {modal_close}")
modal_close.click()
except:
pass
# Define callback function for Pub/Sub messages
def callback(message):
# Extract zip code from message data
zip_code = message.message.data.decode('utf-8')
print(f"Received zip code: {zip_code}")
try:
try:
# Clear any modal dialog
modal_close = WebDriverWait(driver, 2).until(
EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
)
# print(f"modal_close = {modal_close}")
modal_close.click()
except:
pass
try:
# Clear any notice
notice_close = WebDriverWait(driver, 5).until(
EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
# print(f"notice_close = {notice_close}")
notice_close.click()
except:
pass
# Enter zip code in the input field and click the "Check" button
zip_button = WebDriverWait(driver, 5).until(
EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
)
# print(f"{zip_button:}")
zip_button.click()
zip_input = WebDriverWait(driver, 2).until(
EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
)
# print(f"{zip_input:}")
zip_input.click()
# print("clearing zip_input")
zip_input.send_keys("\b\b\b\b\b")
# print("sending zip code")
zip_input.send_keys(zip_code)
check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
# print(f"{check_button:}")
check_button.click()
# time.sleep(2)
try:
# Clear any notice
notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
# print(f"notice_close = {notice_close}")
notice_close.click()
except:
pass
try:
# Clear any modal dialog
modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
# print(f"modal_close = {modal_close}")
modal_close.click()
except:
pass
# Record sales count, if any
sales_count_element = get_element_text('Header_count')
count_start_index = sales_count_element.index('sold ') + len('sold ')
count_end_index = sales_count_element.index('+')
sales_count = sales_count_element[count_start_index:count_end_index]
# Record any sold status notice
sold_status = get_element_text('UnavailableCartbtn_container')
if sold_status == 'Notify me':
sold_status = 'Sold Out'
# Extract the price of rice crackers for this zip code
# Check if there is a minimum order quantity
min_quantity: float = 0
total_price: float = 0
unit_price: float = 0
try:
minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(@class, 'minQuantity')]").get_attribute('innerHTML')
if minimum_quantity_str:
regexp = "Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
match = re.search(regexp,minimum_quantity_str)
min_quantity, total_price = match.groups()
except selenium.common.exceptions.NoSuchElementException as nsee:
print("No minimum purhcase string found")
except Exception as e:
print(f"Exception when finding minimum purchase string: {e}")
ld_json_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
ld_json_text = ld_json_element.get_attribute('innerHTML')
ld_json_start_index = ld_json_text.index('{')
ld_json_end_index = ld_json_text.rindex('}') + 1
ld_json_json = ld_json_text[ld_json_start_index:ld_json_end_index]
ld_json = json.loads(ld_json_json)
ld_json_price = ld_json['offers']['price']
# Print the price
print(ld_json_price)
unit_price_element = driver.find_element(By.XPATH,"//div[contains(@class, 'price_price')]").get_attribute('innerText')
unit_price = unit_price_element.replace("$", "")
print(f"unit_price = {unit_price}" )
subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path) # acknowledge receipt of message
# Append the zip code and price to the dataframe
#append_to_df(zip_code, price)
new_row = pd.DataFrame({'Product ID': [product_id], 'Zip Code': [zip_code], 'Shown Price': [ld_json_price], 'Minimum Quantity': [min_quantity], 'Total Price': [total_price], 'Unit Price': [unit_price], 'Sales Count': [sales_count], 'Sold Status': [sold_status]})
return pd.concat([df, new_row], ignore_index=True)
#print(f"Recorded the zip code and price: {zip_code},{price}")
#print(f"Updated a dataframe: {df}")
except Exception as e:
print(f"Caught exception: {e}")
print(f"Price not found for zip code {zip_code}")
price = 'Price not found'
return df
# Start receiving messages (sync version)
while True:
pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
messages = []
try:
pull_response = subscriber.pull(request = pull_request)
messages = pull_response.received_messages
except DeadlineExceeded:
pass
if messages:
df = callback(messages[0])
print(f"Updated a dataframe: {df}")
else:
print(f"no messages, trying again at {time.asctime()}")
break
# subprocess.call(['python', 'fp2_13.py', url])
return df
if __name__ == '__main__':
# Determine the number of available CPUs
# cpu_count = multiprocessing.cpu_count()
with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
future_to_url = {executor.submit(run_scraper, url): url for url in url_list}
results = []
for future in concurrent.futures.as_completed(future_to_url):
url = future_to_url[future]
try:
result = future.result()
print(f"Scraped data for URL: {url}")
results.append(result)
except Exception as e:
print(f"Failed to scrape data for URL: {url}\nError: {e}")
'''
# Run the scraper in parallel for the subset of items
results = pool.map(run_scraper, url_list)
# Close the pool and wait for the processes to finish
pool.close()
pool.join()
'''
with pd.HDFStore('product_data.h5') as store:
for url, result in zip(url_list, results):
# Extract the product ID from the URL
product_id = url.split("/")[-1][:5]
# Save the dataframe to the HDF5 file with a unique key
key = f'df_{product_id}'
store[key] = result
# result.to_hdf('product_data.h5', key=key, mode='a')
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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
1 ID Team Name Arena Name Abbreviation Conference Division Arena Location ZIP Code
2 1 Arizona Cardinals State Farm Stadium ARI NFC West Glendale, Arizona 85305
3 2 Atlanta Falcons Mercedes-Benz Stadium ATL NFC South Atlanta, Georgia 30313
4 3 Baltimore Ravens M&T Bank Stadium BAL AFC North Baltimore, Maryland 21230
5 4 Buffalo Bills Bills Stadium BUF AFC East Orchard Park, New York 14127
6 5 Carolina Panthers Bank of America Stadium CAR NFC South Charlotte, North Carolina 28202
7 6 Chicago Bears Soldier Field CHI NFC North Chicago, Illinois 60605
8 7 Cincinnati Bengals Paul Brown Stadium CIN AFC North Cincinnati, Ohio 45202
9 8 Cleveland Browns First Energy Stadium CLE AFC North Cleveland, Ohio 44114
10 9 Dallas Cowboys At&T Stadium DAL NFC East Arlington, Texas 76011
11 10 Denver Broncos Empower Field at Mile High DEN AFC West Denver, Colorado 80204
12 11 Detroit Lions Ford Field DET NFC North Detroit, Michigan 48226
13 12 Green Bay Packers Lambeau Field GB NFC North Green Bay, Wisconsin 54304
14 13 Houston Texans NRG Stadium HOU AFC South Houston, Texas 77054
15 14 Indianapolis Colts Lucas Oil Stadium IND AFC South Indianapolis, Indiana 46225
16 15 Jacksonville Jaguars TIAA Bank Field JAX AFC South Jacksonville, Florida 32202
17 16 Kansas City Chiefs Arrowhead Stadium KC AFC West Kansas City, Missouri 64129
18 17 Las Vegas Raiders Allegiant Stadium LV AFC West Paradise, Nevada 89118
19 18 Los Angeles Chargers SoFi Stadium LAC AFC West Inglewood, California 90301
20 19 Los Angeles Rams SoFi Stadium LAR NFC West Inglewood, California 90301
21 20 Miami Dolphins Hard Rock Stadium MIA AFC East Miami Gardens, Florida 33056
22 21 Minnesota Vikings U.S. Bank Stadium MIN NFC North Minneapolis, Minnesota 55415
23 22 New England Patriots Gillette Stadium NE AFC East Foxborough, Massachusetts 02035
24 23 New Orleans Saints Mercedes-Benz Superdome NO NFC South New Orleans, Louisiana 70112
25 24 New York Giants MetLife Stadium NYG NFC East East Rutherford, New Jersey 07073
26 25 New York Jets MetLife Stadium NYJ AFC East East Rutherford, New Jersey 07073
27 26 Philadelphia Eagles Lincoln Financial Field PHI NFC East Philadelphia, Pennsylvania 19148
28 27 Pittsburgh Steelers Heinz Field PIT AFC North Pittsburgh, Pennsylvania 15212
29 28 San Francisco 49ers Levi's Stadium SF NFC West Santa Clara, California 95054
30 29 Seattle Seahawks CenturyLink Field SEA NFC West Seattle, Washington 98134
31 30 Tampa Bay Buccaneers Raymond James Stadium TB NFC South Tampa, Florida 33607
32 31 Tennessee Titans Nissan Stadium TEN AFC South Nashville, Tennessee 37213
33 32 Washington Redskins FedExField WAS NFC East Landover, Maryland 20785
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are simple enough that they can be reviewed interactively in 1:1 or up to 1:4
sessions with study groups.
This branch contains a prototype for a retail price scraper for getweee.com.
To run it, install:
* Python 3.9+,
* chrome,
* chromedriver,
* and the python depedencies:
```
pip install -r /path/to/requirements.txt
```
Once those are installed, install the GCP SDK:
https://cloud.google.com/sdk/docs/install
You will also have to log into GCP *twice*, once for the gcloud CLI tools,
and again for the GCP SDK libraries:
https://googleapis.dev/python/google-api-core/latest/auth.html
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# A quick brain teaser
print('What has a head and a tail but no body?')
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class BoundedInt():
def __init__(self, i, min, max):
"""
Create a bounded integer.
Args:
i (int): The initial value of the integer.
min (int): The minimum value of the integer.
max (int): The maximum value of the integer.
"""
self.i = i
self.min = min
self.max = max
def __int__(self):
"""
Convert the bounded integer to int.
Returns:
int: The value of the bounded integer.
"""
return self.i
def __add__(self, other):
if isinstance(other, BoundedInt):
if self.i + other.i > self.max:
raise ValueError("Addition exceeds maximum value")
return BoundedInt(self.i + other.i, self.min, self.max)
elif isinstance(other, int):
if self.i + other > self.max:
raise ValueError("Addition exceeds maximum value")
return BoundedInt(self.i + other, self.min, self.max)
else:
raise TypeError("Unsupported operand type")
def __sub__(self, other):
if isinstance(other, BoundedInt):
if self.i - other.i < self.min:
raise ValueError("Subtraction exceeds minimum value")
return BoundedInt(self.i - other.i, self.min, self.max)
elif isinstance(other, int):
if self.i - other < self.min:
raise ValueError("Subtraction exceeds minimum value")
return BoundedInt(self.i - other, self.min, self.max)
else:
raise TypeError("Unsupported operand type")
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from BoundedInt import BoundedInt
class BoundedIntTester:
def __init__(self):
pass
def test1(self):
bi1 = BoundedInt(0xdeadbeef, min = (0xdeadbeef-1), max = (0xdeadbeef+1))
if int(bi1) == 0xdeadbeef:
print(f"✅ Test 1 passed!")
else:
print(f"❌ Test 1 failed, int(bi1) = {int(bi1)}, expected 0xdeadbeef")
def test2(self):
"""
Test that addition works for two BoundedInts, and throws an error if the bounds are exceeded.
"""
bi2 = BoundedInt(1, min = 0, max = 1)
bi3 = BoundedInt(1, min = 0, max = 1)
try:
bi4 = bi2 + bi3 # 1 + 1 = 2, which is more than max = 1
print(f"❌ Test 2 failed!")
except ValueError as err:
print(f"✅ Test 2 passed!")
def test3(self):
"""
Test that addition works for two BoundedInts, and throws an error if the bounds are exceeded.
"""
bi4 = BoundedInt(1, min = 0, max = 1)
bi5 = BoundedInt(2, min = 0, max = -1)
try:
bi6 = bi4 - bi5 # 1 - 2 = (-1), which is less than min = 0
print(f"❌ Test 3 failed!")
except ValueError as err:
print(f"✅ Test 3 passed!")
def test4(self):
"""
Test that addition works for a BoundedInt and a regular int, and throws an error if the bounds are exceeded.
"""
bi7 = BoundedInt(1, min = 0, max = 1)
bi8 = 2
try:
bi9 = bi7 + bi8
print(f"❌ Test 4 failed!")
except ValueError as err:
print(f"✅ Test 4 passed!")
def test5(self):
"""
Test that subtraction works for a BoundedInt and a regular int, and throws an error if the bounds are exceeded.
"""
bi10 = BoundedInt(1, min = 0, max = 1)
bi11 = 2
try:
bi12 = bi10 - 11
print(f"❌ Test 5 failed!")
except ValueError as err:
print(f"✅ Test 5 passed!")
tester = BoundedIntTester()
tester.test1()
tester.test2()
tester.test3()
tester.test4()
tester.test5()
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import sys
print(sys.float_info)
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{\rtf1\ansi\ansicpg1252\cocoartf2580
\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fnil\fcharset0 HelveticaNeue;\f1\fnil\fcharset0 Menlo-Regular;}
{\colortbl;\red255\green255\blue255;\red0\green0\blue0;\red0\green0\blue0;}
{\*\expandedcolortbl;;\cssrgb\c0\c0\c0\c87059;\cssrgb\c0\c0\c0\c3922;}
\margl1440\margr1440\vieww11520\viewh8400\viewkind0
\deftab720
\pard\pardeftab720\partightenfactor0
\f0\fs32 \cf2 \expnd0\expndtw0\kerning0
1. What is the name of the international standard for floating-point representation?\
\
The IEEE-754 standard describes floating-point formats, a way to represent real numbers in hardware.\
\
\
2. How many bits are the floating point numbers defined by that standard allowed to be?\
\
The floating-point numbers defined by the international standard can be allowed to be of different lengths depending on the specific interchange format. For binary interchange, the formats can be 16 bits, 32 bits, 64 bits, and any multiple of 32 bits \uc0\u8805 128. For decimal interchange, the formats can be any multiple of 32 bits.\
\
\
3. Does your computer support all those formats? Can you think of an easy way to check with only one line of Python?\
\
import sys\
print(sys.float_info)\
\
scott@MacBook-Pro-6 python-bootcamp % python3 Floating_Point_Formats.py \
sys.float_info(max=1.7976931348623157e+308, max_exp=1024, max_10_exp=308, min=2.2250738585072014e-308, min_exp=-1021, min_10_exp=-307, dig=15, mant_dig=53, epsilon=2.220446049250313e-16, radix=2, rounds=1)\
\
\
\pard\pardeftab720\sa320\partightenfactor0
\cf2 4. Why doesn't this code give the same answers to the two multiplications?\
Because they are different operations. The normal Python multiplication operator will multiply two numbers together and return the product. The Pandas multiplication operator, on the other hand, performs element-wise multiplication on the corresponding columns in a DataFrame. In other words, it multiplies the first element in the first column with the first element in the second column, the second element in the first column with the second element in the second column, and so on. \
Floating-point arithmetic has a limited precision due to the finite number of bits used to represent floating-point numbers in binary format. This can lead to rounding errors and loss of precision in arithmetic operations, particularly with very large or very small numbers.\
\
5. You can use
\f1\fs27\fsmilli13600 \cf2 \cb3 sys.getsizeof
\f0\fs32 \cf2 \cb1 to see how large a Python object is. Does the size of a Python floating-point number change as it gets larger? Why or why not?\
The size of a Python floating-point number does not change as it gets larger. This is because Python uses a fixed number of bytes to represent floating-point numbers, regardless of their value.}
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# Name three practical differences between Python strings and bytes.
# Using sys.getsizeof, see how the sizes may be different.
# Do emoji change this answer?
# Encoding
# Strings are created using Unicode character points.
# While bytes are used to represent actual bytes in memory, which can be encoded using ASCII or UTF-8.
# Usage
# Strings are usually used to represent text.
# While bytes are used to represent binary data.
# Memory Size
# Strings take up more memory than bytes, because they are Unicode-based and can contain any character.
# While bytes are limited to binary data.
print("---------------------------------------------")
print("This is the Memory Size test print out:")
import sys
my_string = "Hello, world!"
my_bytes = b'\x48\x65\x6c\x6c'
print(sys.getsizeof(my_string)) # Prints 62
print(sys.getsizeof(my_bytes)) # Prints 37
print()
print('Test the emoji:')
x = 'pizza' # Prints 54
y = b'pizza' # Prints 38
z = '🍕' #Prints 80
print(sys.getsizeof(x))
print(sys.getsizeof(y))
print(sys.getsizeof(z))
print("---------------------------------------------")
print("This is the String to Sequence of Numbers print out:")
def String_to_SequenceofNumbers():
my_string = input("Enter a string: ")
num_sequence = [ord(c) for c in my_string]
print(num_sequence)
if __name__ == "__main__":
String_to_SequenceofNumbers()
print("---------------------------------------------")
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# 1. Why does ord("😀") give a different number than 0xf09f9880, which is what the hexdump of the same character yields?
#
# The ord() function returns the Unicode code point of a character as an integer, which is 128512 for the smiley face.
# However, the hexdump command, returns the UTF-8 encoding of character.
# The hexadecimal representation of 128512 is 0x1F600.
# The UTF-8 encoding of the "😀" character is represented by the sequence of bytes F0 9F 98 80 in hexadecimal.
# UTF-8 is one of the encoding schemes used to represent Unicode characters as binary data.
#
#
# 8. Hypothetical Situation: If the dataframe is not formatted or cleaned, while the column storing the tomoto sales data isn't named exactly same as 'Tomato_Sales'
# It will raise a KeyError instead.
#
#
# 9. The solution of the hypothetical situation from my question 8:
def read_tomato_sales(file_name):
data = pd.read_csv(file_name)
if not pd.api.types.is_numeric_dtype(data["Tomato_Sales"]):
raise TypeError("Tomato_Sales column should contain only numeric values")
total_sales = data.iloc[:, -1].sum() # This is the key
print(f"Total tomato sales: {total_sales}")
# read_tomato_sales("tomato_sales_error.csv")
# 10. Different human languages can use various character encodings such as UTF-8, UTF-16, or ASCII.
# While using bytes, you can work with raw data without worrying about specific encodings.
# This allows us to avoid encoding-related errors and ensures compatibility across different language texts.
def encode_decode_data():
print('-' * 20)
data = input("Enter a sentence using any language: ")
print('-' * 20)
print("The sentence you entered is: {}".format(data))
print('-' * 20)
encoded_data = data.encode('utf-8')
print("This sentence after encoded is: {}".format(encoded_data))
print('-' * 20)
byte_length = len(encoded_data)
print("The byte length of this sentence is: {}".format(byte_length))
print('-' * 20)
decoded_data = encoded_data.decode()
print("This sentence after decoded is: {}".format(decoded_data))
print('-' * 20)
if __name__ == "__main__":
run_function = 'function1'
if run_function == 'function1':
encode_decode_data()
elif run_function == 'function2':
read_tomato_sales(file_name)
# 2.5. REPL stands for Read-Eval-Print Loop.
# A REPL is an interactive programming environment that allows you to read input, evaluate expressions or statements, print output, and repeat the process.
# It provides a quick way to experiment with code, test small snippets, and get immediate feedback.
# The Python REPL allows you to interactively enter Python code and see the results immediately without needing to write a full script and execute it separately.
# 3. The '_' is a convention that holds the value of the last printed expression or the result of the last evaluated expression.
# The actual type of the "_" variable depends on the value assigned to it.
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# 1. Annotate the following python expressions with the specific types of each literal, as well as the overall return value:
# i = 3
# f = 3.0
# c = 3+3j
# b = b'abcdefg'
# s = 'abcdefg'
# s = "abcdefg"
i = 3
f = 3.0
c = 3+3j
b = b'abcdefg'
s1 = 'abcdefg'
s2 = "abcdefg"
def check_the_datatype():
print()
print('This is the answer for Q1:')
print()
variable_names = ['i', 'f', 'c', 'b', 's1', 's2']
data_list = [i, f, c, b, s1, s2]
for variable, data in zip(variable_names, data_list):
print("The type of this assigned value {} = {} is: {}".format(variable, data, type(data).__name__))
# 2. For each of the types string, bytestring, integer, floating point, and imaginary literals,
# construct a 5x5 table showing what happens when the character "0" or number 0 is compared to each other type
from tabulate import tabulate
from termcolor import colored
from tabulate import tabulate
from termcolor import colored
def tablesQ2():
print()
print('-' * 20)
print()
print('This is the answer for Q2:')
print()
types = ["String", "Byte String", "Integer", "Floating Point", "Imaginary"]
literals = ['"0"', 'b"0"', '0', '0.0', '0j']
table_data = []
for type_ in types:
row = [type_]
for literal in literals:
if type_ == "String":
result = literal == '"0"'
elif type_ == "Byte String":
result = literal.encode() == b"0"
elif type_ == "Integer":
try:
result = int(literal) == 0
except ValueError:
result = False
elif type_ == "Floating Point":
try:
result = float(literal) == 0.0
except ValueError:
result = False
elif type_ == "Imaginary":
result = literal.replace('j', 'j0') == "0j"
color = 'green' if result else 'red'
colored_result = colored(result, color)
row.append(colored_result)
table_data.append(row)
table = tabulate(table_data, headers=["Type"] + literals, tablefmt="pipe")
print(table)
# 3. Now do the same thing for the + and == operators for each pair of types in two other 5x5 tables.
def tablesQ3():
print()
print('-' * 20)
print()
print('This is the answer for Q3:')
print()
operators = ["+", "=="]
types = ["str", "bytes", "int", "float", "complex"]
literals = ['"0"', 'b"0"', '0', '0.0', '0+0j']
for operator in operators:
print(f"Table for {operator} Operator:")
table_data = []
for type_ in types:
row = [type_]
for literal in literals:
try:
result = eval(f"{literal} {operator} {type_}({literal})")
color = 'green'
except TypeError:
result = False
color = 'red'
colored_result = colored(result, color)
row.append(colored_result)
table_data.append(row)
table = tabulate(table_data, headers=["Type"] + literals, tablefmt="pipe")
print(table)
print()
# Write a small program that uses the AST module to open the lexer/parser example, and dumps the resulting AST.
# See if there are any arguments to the parse method which make the output easier to read.
# By default, ast.dump() prints the AST in a compact format.
# However, there are two optional arguments that can enhance the readability:
# indent: Specifies the number of spaces to use for indentation. Setting it to a positive integer (e.g., 4) indents each level of the AST by that amount.
# annotate_fields: When set to True, adds field names as comments to the output, making it easier to identify each part of the AST.
import ast
def dump_ast(filename):
with open(filename, 'r') as file:
source_code = file.read()
try:
tree = ast.parse(source_code)
ast_dump = ast.dump(tree, indent=4, annotate_fields=True)
print(ast_dump)
except SyntaxError as e:
print(f"Syntax error in {filename}: {e}")
if __name__ == "__main__":
check_the_datatype()
tablesQ2()
tablesQ3()
print()
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# 5. What does this do? print("\007") Can you figure out why?
# It is a ASCII Bell character.
# It generates a beep sound or a system alert depending on the platform and environment where the code is executed.
# It is often used to trigger attention or alert the user in certain situations or as a way to generate a simple sound signal in text-based interfaces.
# BUT NOTHING HAPPENED ON MAC.
# 6. What does this do? print("abcdefg\rhijklmnop") Can you figure out why?
# '\r' is a carriage return character
# When the string is printed, the carriage return character '\r' causes the cursor to return to the beginning of the line.
# So when "hijklmnop" is printed, the cursor moves back to the start of the line, and the subsequent text "abcdefg" overwrites the initial characters.
# The output is gonna be 'hijklmnop'.
# 7. To shut down the HTTP server afterward, using Ctrl + C to interrupt the execution of the Python program.
import http.server
import socketserver
from urllib.parse import urlparse, parse_qs
class MyRequestHandler(http.server.SimpleHTTPRequestHandler):
def do_GET(self):
self.send_response(200)
self.send_header('Content-type', 'text/plain')
self.end_headers()
output_string = "abcdefg\rhijklmnop"
self.wfile.write(output_string.encode())
PORT = 8000
Handler = MyRequestHandler
httpd = socketserver.TCPServer(("", PORT), Handler)
print(f"Serving on port {PORT}")
httpd.serve_forever()
# The HTTP server sends the response over the network to the client, which is typically a web browser.
# In this function, the server sends an HTTP response with a status code of 200 and a content type of "text/plain".
# The response body is set to the string "abcdefg\rhijklmnop" encoded as bytes.
# When the client receives this response, it interprets the \r character as a normal character and displays the entire string "abcdefg\rhijklmnop" as it is.
# The '\r' character is a carriage return character, which is a control character used to return the cursor to the beginning of the current line.
# The behavior of the carriage return character '\r' can depend on the platform and how the output is handled.
# For example:
# In Safari and Chrome, the "http://localhost:8000" shows:
# abcdefg
# hijklmnop
# In Macbook Terminal, the "curl http://localhost:8000" shows:
# hijklmnop%
# 8. Think of a way someone might try to commit a crime or hide an embezzlement scheme using the answers to the above two questions.
# The key is by manipulating or altering the output displayed on a web page versus what is actually happening in the system.
# Case 1:
# Show the false financial transactions to earn the cut.
# Case 2:
# Delivey the heist planning details and hide any suspicious activity.
# Case 3:
# Overwrite the previously displayed information for the false testimony purpose.
# 9. Think of how you would do input validation to prevent such a crime. Replace the code REPLACE ME here so the tests pass:
def validate(input_str):
if '\r' in input_str or '\n' in input_str:
raise ValueError("Crime detected!")
try:
validate("abcdefg")
print("✅ test1 pass!")
except ValueError:
print("❌ test1 fail!")
try:
validate("abcdefg\rhijklmnop")
print("❌ test2 fail!")
except ValueError:
print("✅ test2 pass!")
# Test 1 pass means there is no ValueError
# Test 2 pass means the ValueError has been detected
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########## This file only contains the question 2, 4, and 10. The rest is in the BoundedInt.py. ##########
# 2. Modify the template to pass test 1, which checks that int() called on your class will return the value of i.
# class BoundedInt():
# def __init__(self, i, min, max):
# """
# Create a bounded integer.
# Args:
# i (int): The initial value of the integer.
# min (int): The minimum value of the integer.
# max (int): The maximum value of the integer.
# """
# self.i = i
# self.min = min
# self.max = max
# def __int__(self):
# """
# Convert the bounded integer to int.
# Returns:
# int: The value of the bounded integer.
# """
# return self.i
# 4. In that reading material, there's a sentence that starts with "For instance, to evaluate the expression x + y, "...
# What do you think the types of x and y are? Guess, without checking first.
# What are they, actually? You can use the debugger's local window to find out.
# x might be an instance of a class that has defined the __add__() method
# And y is the object that is compatible with the x instance for the addition operation.
class MyClass:
def __init__(self, value):
self.value = value
def __add__(self, other):
if isinstance(other, MyClass):
return MyClass(self.value + other.value)
elif isinstance(other, int):
return MyClass(self.value + other)
else:
raise TypeError("Unsupported operand type.")
# Example usage
obj1 = MyClass(5)
obj2 = MyClass(10)
result1 = obj1 + obj2 # Calls obj1.__add__(obj2)
print(result1.value) # Output: 15
result2 = obj1 + 3 # Calls obj1.__add__(3)
print(result2.value) # Output: 8
# 10. Think about how you would change the template so it could allow adding a BoundedInt to an emoji,
# if there was a hypothetical function sentiment(emoji) which returned a floating point number from -10.0 to 10.0
# which indicated whether the emoji was happy or sad. e.g. BoundedInt(1, min = 1, max = 10) + 😁 would raise ValueError.
# By adding the conceptional function 'sentiment(emoji)' in the '__add__()' method
# The sentiment will analyze the happy level of the input emoji and return a floating number from a number range
# For example:
# 10 for a 😊 smiley face
# -10 for a frowny face
# 0 for a 🍕
# The protential code can be like this:
'''
elif isinstance(other, str) and sentiment(other) < 0:
aise ValueError("Cannot add a BoundedInt to a sad emoji")
'''
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########## Some commands in pdb ##########
# help: Display a list of available pdb commands or get help on a specific command.
# break or b: Set a breakpoint at a specific line or function.
# continue or c: Continue execution until the next breakpoint or the program finishes.
# step or s: Step into the next line of code, diving into function calls.
# next or n: Step over the next line of code, without diving into function calls.
# return or r: Continue execution until the current function returns.
# list or l: Show the current line of code and surrounding lines.
# print or p: Evaluate and print the value of an expression or variable.
# watch: Set a watchpoint on an expression or variable. The debugger will break when the value changes.
# quit or q: Quit the debugger and stop execution.
########## There is a main() function at the end ##########
# 2. Provide an example script where setting a breakpoint on a particular line
# Then using either step over or step into will yield the same result.
class Same_StepOverStepInto_Result:
def calculation2(self, a, b):
result = a + b
product = self.multiply(a, b) # Step into this method call
breakpoint() # Set a breakpoint here
print(f"The sum is: {result}")
print(f"The product is: {product}")
def multiply(self, x, y):
return x * y
# calculator2 = Same_StepOverStepInto_Result()
# calculator2.calculation2(6, 7)
# 3. Here is another example which will provide different results from 'step' and 'next' commands
class Diff_StepOverStepInto_Result:
def multiply(self, a, b):
return a * b
def calculation3(self, a, b):
result = a + b
breakpoint() # Set a breakpoint here
product = self.multiply(a, b)
print(f"The sum is: {result}")
print(f"The product is: {product}")
# calculator3 = Diff_StepOverStepInto_Result()
# calculator3.calculation3(6, 7)
# Choose wich Class to run
def main():
choice = input("Enter 2 to run Q2 class for same result, 3 to run Q3 class for different result: ")
if choice == '2':
print('Here is the sample task for Question 2:')
calculator2 = Same_StepOverStepInto_Result()
calculator2.calculation2(6, 7)
elif choice == '3':
print('Here is the sample task for Question 3:')
calculator3 = Diff_StepOverStepInto_Result()
calculator3.calculation3(6, 7)
else:
print("Please only choose between 2 and 3")
if __name__ == "__main__":
main()
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class Vector_1:
def __init__(self, x, y):
self.x = x
self.y = y
def __add__(self, other):
if isinstance(other, Vector_1):
# Add the corresponding coordinates of both vectors
new_x = self.x + other.x
new_y = self.y + other.y
return Vector_1(new_x, new_y)
else:
raise TypeError("Unsupported operand type: +")
def __str__(self):
return f"Vector({self.x}, {self.y})"
# # Create two Vector instances
# vector1 = Vector_1(2, 3)
# vector2 = Vector_1(4, 5)
# # Add two Vector instances using the + operator
# result1 = vector1 + vector2
# # Print the result
# print(result1)
class Vector_2:
def __init__(self, x, y):
self.x = x
self.y = y
def __add__(self, other):
if isinstance(other, Vector_2):
# Add the corresponding coordinates of both vectors
new_x = self.x + other.x
new_y = self.y + other.y
return Vector_2(new_x, new_y)
else:
raise TypeError("Unsupported operand type: +")
# def __str__(self):
# return f"Vector({self.x}, {self.y})"
# # Create two Vector instances
# vector3 = Vector_2(2, 3)
# vector4 = Vector_2(4, 5)
# # Add two Vector instances using the + operator
# result2 = vector3 + vector4
# # Print the result
# print(result2)
def main():
# Create two Vector instances
vector1 = Vector_1(2, 3)
vector2 = Vector_1(4, 5)
# Add two Vector instances using the + operator
result1 = vector1 + vector2
# Print the result
print("This is printout of the Class using __str__() method:")
print(result1)
# Create two Vector instances
vector3 = Vector_2(2, 3)
vector4 = Vector_2(4, 5)
# Add two Vector instances using the + operator
result2 = vector3 + vector4
# Print the result
print("This is printout of the Class without using __str__() method:")
print(result2)
if __name__ == "__main__":
main()
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{\rtf1\ansi\ansicpg1252\cocoartf2580
\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fswiss\fcharset0 Helvetica;}
{\colortbl;\red255\green255\blue255;}
{\*\expandedcolortbl;;}
\margl1440\margr1440\vieww11520\viewh8400\viewkind0
\pard\tx720\tx1440\tx2160\tx2880\tx3600\tx4320\tx5040\tx5760\tx6480\tx7200\tx7920\tx8640\pardirnatural\partightenfactor0
\f0\fs24 \cf0 scott@MacBook-Pro-6 Scott_Submissions % python3 HW7.py\
Enter 2 to run Q2 class for same result, 3 to run Q3 class for different result: 1\
Please only choose between 2 and 3\
scott@MacBook-Pro-6 Scott_Submissions % python3 HW7.py\
Enter 2 to run Q2 class for same result, 3 to run Q3 class for different result: 2\
Here is the sample task for Question 2:\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(27)calculation2()\
-> print(f"The sum is: \{result\}")\
(Pdb) step\
The sum is: 13\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(28)calculation2()\
-> print(f"The product is: \{product\}")\
(Pdb) c\
The product is: 42\
scott@MacBook-Pro-6 Scott_Submissions % python3 HW7.py\
Enter 2 to run Q2 class for same result, 3 to run Q3 class for different result: 2\
Here is the sample task for Question 2:\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(27)calculation2()\
-> print(f"The sum is: \{result\}")\
(Pdb) next\
The sum is: 13\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(28)calculation2()\
-> print(f"The product is: \{product\}")\
(Pdb) c\
The product is: 42\
scott@MacBook-Pro-6 Scott_Submissions % python3 HW7.py\
Enter 2 to run Q2 class for same result, 3 to run Q3 class for different result: 3\
Here is the sample task for Question 3:\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(50)calculation3()\
-> product = self.multiply(a, b)\
(Pdb) step\
--Call--\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(42)multiply()\
-> def multiply(self, a, b):\
(Pdb) c\
The sum is: 13\
The product is: 42\
scott@MacBook-Pro-6 Scott_Submissions % python3 HW7.py\
Enter 2 to run Q2 class for same result, 3 to run Q3 class for different result: 3\
Here is the sample task for Question 3:\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(50)calculation3()\
-> product = self.multiply(a, b)\
(Pdb) next\
> /Users/scott/Desktop/GTSP/python-bootcamp/Scott_Submissions/HW7.py(52)calculation3()\
-> print(f"The sum is: \{result\}")\
(Pdb) c\
The sum is: 13\
The product is: 42\
scott@MacBook-Pro-6 Scott_Submissions % }
+18
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import pandas as pd
import numpy as np
# Generate two random 64-bit integers
num1 = np.random.randint(0, 10 - 1)
num2 = np.random.randint(0, 10 - 1)
# Multiply them together using the normal Python multiplication operator
print(f"num1 * num2 = {num1 * num2}")
# Create a Pandas DataFrame with the generated numbers
data = {'Number1': [num1], 'Number2': [num2]}
df = pd.DataFrame(data)
# Multiply the numbers together using the Pandas multiplication operator
df['Product'] = df['Number1'] * df['Number2']
print(df)
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import sys
num = 99999999999
size = sys.getsizeof(num)
print(f"The size of the float is {size} bytes.")
@@ -0,0 +1,117 @@
{\rtf1\ansi\ansicpg1252\cocoartf2580
\cocoatextscaling0\cocoaplatform0{\fonttbl\f0\fnil\fcharset0 LucidaGrande;}
{\colortbl;\red255\green255\blue255;\red26\green26\blue26;\red255\green255\blue255;\red39\green40\blue50;
}
{\*\expandedcolortbl;;\cssrgb\c13333\c13333\c13333;\cssrgb\c100000\c100000\c100000;\cssrgb\c20392\c20784\c25490;
}
\margl1440\margr1440\vieww28300\viewh17700\viewkind0
\deftab720
\pard\pardeftab720\parhyphenfactor20\partightenfactor0
\f0\fs32 \cf2 \cb3 \expnd0\expndtw0\kerning0
CPython implementation detail: CPython currently uses a reference-counting scheme with (optional) delayed detection of cyclically linked garbage, which collects most objects as soon as they become unreachable, but is not guaranteed to collect garbage containing circular references.\
\
What is a reference-counting scheme?\
It refers to a memory management technique where each object in a programming language implementation, such as CPython, keeps track of the number of references pointing to it. \
Whenever a reference is created to an object, its reference count is increased, and when a reference is deleted or goes out of scope, the reference count is decreased. \
\
What is a reference?\
In the context of memory management, a "reference" refers to an identifier or value that allows access to an object in a programming language. \
It is a way to refer to or point to the memory location where an object is stored.\
\
What is the advantage of reference-counting scheme?\
The advantage of the reference-counting scheme is that it allows objects to be deallocated immediately when they are no longer needed. \
It ensures efficient memory management because objects can be freed as soon as their reference count reaches zero, without the need for more complex garbage collection algorithms.\
\
What is a garbage?\
In the context of memory management, "garbage" refers to objects that are no longer reachable or used by the program but still occupy memory. \
This typically occurs when objects are created dynamically during program execution but are not properly deallocated or no longer accessible. \
Garbage collection is the process of identifying and reclaiming memory occupied by such unused objects, making it available for reuse. \
The reference-counting scheme used by CPython helps in automatically deallocating most objects as soon as they become unreachable. \
However, in the case of circular references, where objects refer to each other in a loop, additional mechanisms are required to detect and collect such cyclically linked garbage. It\'92s called "delayed detection of cyclically linked garbage" to collect and deallocate objects that are involved in cyclic references.\
\
\
\
What is a __blabla__(): method?\
In Python, the following are special attributes (also known as dunder attributes) that can be accessed on objects or functions.\
These special attributes provide additional information or access to specific properties of objects in Python. \
\
What is the advantages of the dunder method?\
Overall, dunder attributes provide flexibility, customization, and enhanced functionality to Python objects and classes. \
They contribute to the expressive nature of the language and enable powerful features like operator overloading and introspection.\
\
Convention: Dunder attributes follow a specific naming convention, starting and ending with double underscores (__). This convention makes them easily recognizable and distinguishes them from regular attributes.\
Customization: Dunder attributes allow you to customize and define the behavior of objects and classes. By implementing specific dunder methods, you can change how objects behave in certain situations, such as arithmetic operations, string representation, comparisons, and more.\
Operator Overloading: Dunder attributes enable operator overloading, allowing objects to participate in built-in operations like addition (+), subtraction (-), equality (==), and more. This makes it possible to define meaningful operations for custom classes.\
Introspection: Dunder attributes provide a way to introspect and access information about objects and classes. For example, name and doc allow you to retrieve the name and documentation of an object. This introspection capability is useful for debugging, documentation generation, and code analysis.\
Integration with Language Features: Dunder attributes seamlessly integrate with various language features, such as iteration (with iter), context managers (with enter and exit), attribute access (with getattr, setattr), and more. This allows you to leverage the full power of the Python language in your classes.\
Code Readability: By following the conventions for dunder attributes, your code becomes more readable and understandable by other Python developers. They can easily recognize and understand the purpose of these special attributes.\
\
\
\
What is a Von Neumann\'92s model of a \'93stored program computer\'94?\
Von Neumann's model of a "stored program computer" is a fundamental concept in computer architecture that describes the organization and operation of modern digital computers.\
It describes a computer architecture where instructions and data are stored together in memory, enabling the execution of instructions as data, and forming the basis of programmable digital computers.\
The distinguishing feature of Von Neumann's model is that both data and instructions are stored in the same memory. This means that the instructions that govern the computer's operations can be treated as data and manipulated like any other type of information. This concept, known as the "stored program concept," allows for the flexibility and programmability of modern computers.\
\
\
\
\pard\pardeftab720\partightenfactor0
\cf4 \cb1 What is the difference between identity and type?\
Identity: \
The identity of an object is a unique identifier that remains constant throughout the object's lifetime. \
It can be thought of as the object's address in memory. \
Python provides a built-in function called id() that returns an integer representing the identity of an object. \
The identity never changes once the object is created, and no two objects can have the same identity at the same time.\
Type: \
The type of an object defines the category or class to which the object belongs. \
It determines the behavior of the object and the operations that can be performed on it. \
In Python, the type of an object is determined by its class, which defines the object's characteristics and behavior. \
The type of an object can be obtained using the type() function.\
\
To summarize, the identity of an object is a unique identifier associated with its memory location, while the type of an object defines its category or class, determining its behavior and the operations that can be performed on it.\
\
\
\
The important distinction between immutability and having an unchangeable value in the context of container objects that reference mutable objects in Python.\
In Python, immutability refers to the property of an object that prevents its internal state or structure from being modified after it is created. Immutable objects, such as integers, strings, and tuples, cannot be changed once they are created. However, when an immutable container object (like a tuple or a frozenset) contains a reference to a mutable object (such as a list or a set), the value of the mutable object can be modified even though the container object itself cannot be changed.\
So, while the value of the mutable object can be altered, the container object is still considered immutable because its internal structure (the collection of objects it contains) cannot be changed. The container object cannot be modified to add, remove, or replace elements, but the mutable object it references can be modified independently.\
Therefore, the concept of immutability is more subtle than simply having an unchangeable value. It refers to the inability to modify the structure or internal state of an object, but it doesn't necessarily guarantee that all the objects referenced by an immutable container are themselves immutable.\
\
\
\
What is a close() method in Python?\
The close() method is typically invoked on an object representing the file or resource. \
Calling the close() method can release the associated system resources and ensure that any buffered data is written to the disk.\
\
It's important to note that closing a file or resource is good practice to free up system resources and prevent any potential issues. Failing to close resources properly can result in resource leaks and may lead to unexpected behavior in your program.\
\
\
\
\'93try...finally\'94 statement:\
The try...finally statement is used to ensure that certain code is always executed, regardless of whether an exception occurs or not. \
The code within the try block is executed, and if an exception occurs, it can be caught and handled using an appropriate except block. After the try block (and any associated except blocks), the code within the finally block is executed, ensuring that it always runs, regardless of exceptions. This is useful for cleaning up resources or releasing locks, even if an exception occurs.\cf2 \cb3 \
\pard\pardeftab720\parhyphenfactor20\partightenfactor0
\cf2 \
\
\
\'93with\'94 statement:\
The with statement provides automatic resource management, improves code readability, handles exceptions effectively, and allows for the creation of custom context managers. It is a recommended approach for managing resources that need proper initialization and cleanup, such as files, database connections, network sockets, and more. By using the with statement, you can ensure that your code is more robust, maintainable, and less prone to resource leaks and error handling issues.\
\
\
\
What is a container?\
A container refers to an object that can hold multiple other objects or values. \
Examples of containers in Python include tuples, lists, dictionaries, sets, and other collection types.\
Containers are used to store and organize multiple objects or values together. They provide a way to group related data and operate on them as a whole. \
\
\
\
What is a type hierarchy?\
The type hierarchy in Python refers to the organization and relationships among different types or classes in the Python programming language. \
It defines how types are related to each other and how they inherit attributes and behaviors from their parent types.\
the type hierarchy in Python provides a structured organization of types, allowing for code reuse, inheritance, and polymorphism, which are fundamental principles of object-oriented programming.\
\
\
\
## The attached file HW7_test.py provides an example on how dunder method works. Don\'92t forget to check it out.}
+7
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@@ -0,0 +1,7 @@
import time
i=0
while True:
print(f"\015{i=}", end='')
i += 1
time.sleep(0.2)
+28
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@@ -0,0 +1,28 @@
import pdb
def calculate_average(numbers):
total = sum(numbers)
average = total / len(numbers)
return average
def main():
data = [1, 2, 3, 4, 5]
pdb.set_trace()
result = calculate_average(data)
print("The average is:", result)
pdb.set_trace() # Set a breakpoint at this line
print("Program execution resumed.")
# ... continue with the rest of your code
if __name__ == '__main__':
main()
# n or next: Execute the next line of code.
# s or step: Step into a function call.
# c or continue: Continue execution until the next breakpoint or the program's end.
# p or print: Print the value of a variable.
# q or quit: Quit the debugger and exit the program.
+5
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@@ -0,0 +1,5 @@
char1 = "u"
result1 = ord(char1)
print("ASCII value of the character {} is {}.".format(char1, result1))
-42
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@@ -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
-42
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@@ -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))
-402
View File
@@ -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
}
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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)
'''
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'''
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)
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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))
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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])
'''
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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"))
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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())
'''
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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)
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@@ -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()}")
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@@ -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')
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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.")
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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')
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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)
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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()
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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()
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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()
-64
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@@ -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())
'''
-55
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@@ -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)
-106
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@@ -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)
-166
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@@ -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()
-100
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@@ -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.")
-1
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@@ -1 +0,0 @@
print("hello")
+78
View File
@@ -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
}
+44
View File
@@ -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)
-54
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@@ -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)
'''
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-14
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@@ -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.")
-12
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@@ -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
)
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i = 5
def f(arg=i):
print(arg)
i = 6
f()
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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))
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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)
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from enum import Enum
class Tokens(Enum):
QUOTE = 1,
CHAR = 2,
NEWLINE = 3,
SPACE = 4
class Lexer:
tokens = list()
def __init__(self):
pass
def lex(self, str):
for c in str:
if c == "'" or c == '"':
self.tokens.append(Tokens.QUOTE)
print("Token: QUOTE")
elif c == "\n":
self.tokens.append(Tokens.NEWLINE)
print("Token: NEWLINE")
elif c == " ":
self.tokens.append(Tokens.SPACE)
print("Token: SPACE")
else:
self.tokens.append(Tokens.CHAR)
print("Token: CHAR")
def __str__(self):
return ",".join(Tokens(token).name for token in self.tokens)
class States(Enum):
INITIAL = 0,
BEGINQUOTE = 1
class Parser:
def __init__(self):
self.state = States.INITIAL
self.line = 1
def transition(self, state):
print(f"{States(self.state).name} -> {States(state).name}")
self.state = state
def parse(self, tokens):
for token in tokens:
if self.state == States.INITIAL:
if token == Tokens.QUOTE:
self.transition(States.BEGINQUOTE)
elif token == Tokens.NEWLINE:
self.line += 1
continue
if self.state == States.BEGINQUOTE:
if token == Tokens.QUOTE:
self.transition(States.INITIAL)
elif token == Tokens.CHAR or token == Tokens.SPACE:
pass
elif token == Tokens.NEWLINE:
raise ValueError(f"Unterminated string on line {self.line}")
continue
if __name__ == "__main__":
test1 = """abcdefg
"abcde
'a'
bareword
"""
lexer = Lexer()
lexer.lex(test1)
# print(lexer)
parser = Parser()
try:
parser.parse(lexer.tokens)
except ValueError as error:
print(error)
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# Question7:
# Difference:
# 1. Byte objects are sequence of Bytes, whereas Strings are sequence of characters.
# 2. Byte objects are in machine readable form internally; Strings are only in human readable form.
# 3. strings (str) support various character encodings, such as UTF-8, ASCII, and more. Bytes (bytes), on the other hand, represent raw binary data and can hold any byte values.
## Emojis can affect the size difference.
import sys
string_size = sys.getsizeof("Hello")
bytes_size = sys.getsizeof(b"Hello")
emoji_size = sys.getsizeof("😀")
print(f"String size: {string_size} bytes")
print(f"Bytes size: {bytes_size} bytes")
print(f"emoji size: {emoji_size} bytes")
# python routine:
def print_string_as_numbers(string):
for char in string:
print(ord(char))
input_string = "Hello, world!"
print_string_as_numbers(input_string)
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# question 8: If the column or data type is invalid, and we take them into calculations without noticing this, wrong number will be produced.
# question 9:
def read_tomato_sales(file_name):
data = pd.read_csv(file_name)
if "Tomato_Sales" in data.columns and data["Tomato_Sales"].dtype == "int64":
total_sales = data["Tomato_Sales"].sum()
print(f"Total tomato sales: {total_sales}")
else:
raise ValueError("Invalid column or data type.")
# question 10: Reasons:
# 1. Different languages may have different character encodings, which define how characters are represented
# as binary data. By using bytes, you can handle various character encodings, such as UTF-8, UTF-16, or others.
# 2. Bytes are language-agnostic and treat text as raw binary data.
# 3. Bytes can handle any kind of binary data, including text data in different languages, as well as
# non-textual data such as images, audio, or video.
def process_multilingual_data(data):
# Convert string to bytes using UTF-8 encoding
byte_data = data.encode('utf-8')
# Convert bytes back to string for display or further processing
processed_data = byte_data.decode('utf-8')
return processed_data
# Example usage
text = "This is shunan zhao"
processed_text = process_multilingual_data(text)
print(processed_text)
# 1: ord("😀") gives you the Unicode code point of the character, while 0xf09f9880 represents the byte
# sequence in UTF-8 encoding used to represent that character.
# 2.5: A REPL is an interactive programming environment that allows you to enter commands or expressions,
# which are then evaluated and the results are printed or displayed.
# 3: the "_" variable is a special variable that holds the result of the last executed expression or
# statement. It is often referred to as the "underscore variable."
#The type can vary based on the context and the value assigned to in the current REPL session. For example:
# If the last executed expression was an integer, the type of "_" would be int.
# If the last executed expression was a string, the type of "_" would be str.
# If the last executed expression was a list, the type of "_" would be list.
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#question 1:
# i = 3 Literal Type: Integer, and its value is 3.
# f = 3.0 Literal Type: Float, and its value is 3.0.
# c = 3+3j Literal Type: Complex, and its value is 3+3j.
# b = b'abcdefg' Literal Type: Bytes, and its value is b'abcdefg'.
# s = 'abcdefg' Literal Type: String, and its value is 'abcdefg'.
# s = "abcdefg" Literal Type: String, and its value is "abcdefg".
#question 2:
'''
'0' b'0' 0 0.0 0j
'0' Equal |Not equal |Not equal |Not equal |Not equal
b'0'Not equal |Equal |Not equal |Not equal |Not equal
0 Not equal |Not equal |Equal |Equal |Equal
0.0 Not equal |Not equal |Equal |Equal |Not Equal
0j Not equal |Not equal |Equal |Not equal |Equal
'''
#question 3:
##The "+" operator case:
'''
'0' b'0' 0 0.0 0j
'0' '00' |TypeError |TypeError |TypeError |TypeError
b'0' TypeError |b'00' |TypeError |TypeError |TypeError
0 TypeError |TypeError |0 |0.0 |0j
0.0 TypeError |TypeError |0.0 |0.0 |TypeError
0j TypeError |TypeError |0j |TypeError |0j
'''
##The "==" operator case:
'''
'0' b'0' 0 0.0 0j
'0' True |False |False |False |False
b'0 False |False |False |False |False
0 False |False |False |True |True
0.0 False |False |True |True |False
0j False |False |True |False |True
'''
#question4:
import ast
# Open the lexer/parser example file
with open('lexer_parser_example.py', 'r') as file:
source_code = file.read()
# Parse the source code into an AST
tree = ast.parse(source_code)
# Dump the AST
print(ast.dump(tree, indent=4))
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# question 5:
# The statement print("\007") outputs an ASCII escape sequence \007, which represents the Bell control character. The reason why print("\007")
# produces a sound or visual alert is that when the string "\007" is printed, it is interpreted by the terminal or system as a signal to generate
# an audible or visual alert, as defined by the specific implementation.
# question 6:
# The code print("abcdefg\rhijklmnop") will output "hijklmnopg"
# In Python, the '\r' character is a carriage return character, which instructs the console or terminal to move the cursor back to the beginning
# of the current line, without advancing to the next line. This means that anything printed after the '\r' will overwrite whatever was printed earlier
# on the same line.
# question 7:
# In this case, the carriage return character \r is treated as a regular character within the response content. It does not have the same effect as
# in the previous example where it was used in a print statement.
# qustion 8:
# If a hacker attacks a credit card system. When the customer came to buy a can of Coke, he paid 2 knives to the store, but the display in the
# background was "2/r500".
# question 9:
def validate(input_string):
if "\r" in input_string:
raise ValueError("Crime detected!")
try:
validate("abcdefg")
print("✅ test1 pass!")
except:
print("❌ test1 fail!")
try:
validate("abcdefg\rhijklmnop")
print("❌ test2 fail!")
except ValueError as err:
print("✅ test2 pass!")
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class BoundedInt():
def __init__(self, i, min_val, max_val):
self.i = i
self.min = min_val
self.max = max_val
def __int__(self):
return self.i
def __sub__(self, other):
if isinstance(other, BoundedInt):
result = self.i - other.i
else:
result = self.i - other
if result < self.min:
raise ValueError("Result exceeds min value")
return BoundedInt(result, self.min, self.max)
def __add__(self, other):
if isinstance(other, BoundedInt):
result = self.i + other.i
else:
result = self.i + other
if result > self.max:
raise ValueError("Result exceeds max value")
return BoundedInt(result, self.min, self.max)
def test1(self):
bi1 = BoundedInt(0xdeadbeef, min_val=(0xdeadbeef - 1), max_val=(0xdeadbeef + 1))
if int(bi1) == 0xdeadbeef:
print(f"✅ Test 1 passed!")
else:
print(f"❌ Test 1 failed, int(bi1) = {int(bi1)}, expected 0xdeadbeef")
def test2(self):
bi2 = BoundedInt(1, min_val=0, max_val=1)
bi3 = BoundedInt(1, min_val=0, max_val=1)
try:
bi4 = bi2 + bi3 # 1 + 1 = 2, which exceeds max_val = 1
print(f"❌ Test 2 failed!")
except ValueError as err:
print(f"✅ Test 2 passed!")
def test3(self):
bi4 = BoundedInt(1, min_val=0, max_val=1)
bi5 = BoundedInt(2, min_val=0, max_val=-1)
try:
bi6 = bi4 - bi5 # 1 - 2 = -1, which is less than min_val = 0
print(f"❌ Test 3 failed!")
except ValueError as err:
print(f"✅ Test 3 passed!")
def test4(self):
bi7 = BoundedInt(1, min_val=0, max_val=1)
bi8 = 2
try:
bi9 = bi7 + bi8
print(f"❌ Test 4 failed!")
except ValueError as err:
print(f"✅ Test 4 passed!")
def test5(self):
bi10 = BoundedInt(1, min_val=0, max_val=1)
bi11 = 2
try:
bi12 = bi10 - 11
print(f"❌ Test 5 failed!")
except ValueError as err:
print(f"✅ Test 5 passed!")
tester = BoundedInt(0, 0, 0)
tester.test1()
tester.test2()
tester.test3()
tester.test4()
tester.test5()
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# question 1:
#boolean context:
#In programming, a boolean context refers to a situation where a condition or expression is evaluated as either true or false.
#A boolean context typically occurs in control flow statements, such as if statements or while loops, where the condition determines whether
#a certain block of code should be executed or repeated.
#Ellipsis:
#an ellipsis (...) is a special token that represents an ellipsis object. It is often used as a placeholder in code or data structures where
#you intend to fill in additional functionality or content later.
#machine-level double precision floating point numbers
#Machine-level double precision floating-point numbers, often referred to as double, are a common representation of real numbers in computer systems.
#They are a binary format used to store and manipulate floating-point values with higher precision compared to single precision.
#Callable types:
#callable types refer to objects that can be called as functions. These objects are capable of executing code when invoked with parentheses, just
#like a regular function.
#cell_contents:
#the term "cell contents" refers to the value stored in a cell of a closure. A closure is a function object that retains references to variables
#in its enclosing lexical scope, even when the outer function has finished executing.
#When a closure is created, each variable it references is stored in a cell, which is an internal data structure associated with the closure.
#The cell contents refer to the value stored within the cell associated with a particular variable in a closure. It represents the value of the
#variable as seen by the closure, regardless of any changes made to the variable in the outer scope.
#example for "When an instance method object is created by retrieving a user-defined function object from a class via one of its instances,
#its __self__ attribute is the instance, and the method object is said to be bound. The new method’s __func__ attribute is the original function
#object."
"""""
class MyClass:
def my_method(self):
print("Hello, world!")
# Creating an instance of MyClass
my_instance = MyClass()
# Retrieving the method object from the instance
method_object = my_instance.my_method
# Accessing the attributes of the method object
print(method_object.__self__) # Output: <__main__.MyClass object at 0x...>
print(method_object.__func__) # Output: <function MyClass.my_method at 0x...>
# Calling the method through the method object
method_object() # Output: Hello, world!
"""""
#async def:
# the async def syntax is used to define an asynchronous function, also known as a coroutine. An asynchronous function allows concurrent
# execution of multiple tasks by allowing the program to proceed to other tasks while waiting for certain operations to complete.
"""""
import asyncio
async def my_coroutine():
print("Coroutine started")
await asyncio.sleep(1) # Simulating an asynchronous operation
print("Coroutine completed")
# Calling the coroutine
asyncio.run(my_coroutine())
"""""
#Static method and class method:
#In Python, static methods and class methods are two types of methods that can be defined within a class.
#Static methods:
#Static methods are defined using the @staticmethod decorator or by declaring them inside the class without any special decorator.
#Static methods are not bound to a specific instance or the class itself. They behave like regular functions but are defined within the class for organizational purposes.
#Static methods do not have access to the instance or class attributes and cannot modify them directly.
#Static methods can be called on the class itself or on an instance of the class.
#Class methods:
#Class methods are defined using the @classmethod decorator.
#Class methods are bound to the class itself rather than the instances. They receive the class as the first argument (usually named cls) instead of the instance (self).
#Class methods have access to the class attributes and can modify them if needed.
#Class methods can be called on the class itself or on an instance of the class.
# question 2:
def add_numbers(a, b):
result = a + b
return result
def multiply_numbers(x, y):
result = x * y
return result
def main():
number1 = 5
number2 = 10
sum_result = add_numbers(number1, number2)
breakpoint() # Set breakpoint here
product_result = multiply_numbers(sum_result, number2)
print("Product:", product_result)
if __name__ == "__main__":
main()
# question 3:
def calculate_square(x):
square = x ** 2
return square
def calculate_cube(x):
cube = x ** 3
return cube
def main():
number = 5
breakpoint() # Set breakpoint here
square_result = calculate_square(number)
cube_result = calculate_cube(number)
print("Square:", square_result)
print("Cube:", cube_result)
if __name__ == "__main__":
main()
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PS C:\Users\Maxzh\python-bootcamp\max submission> python .\6_9_HW.py
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(89)main()
-> product_result = multiply_numbers(sum_result, number2)
(Pdb) next
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(90)main()
-> print("Product:", product_result)
(Pdb) c
Product: 150
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(108)main()
-> square_result = calculate_square(number)
(Pdb) next
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(109)main()
-> cube_result = calculate_cube(number)
(Pdb) c
Square: 25
Cube: 125
PS C:\Users\Maxzh\python-bootcamp\max submission> python .\6_9_HW.py
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(89)main()
-> product_result = multiply_numbers(sum_result, number2)
(Pdb) step
--Call--
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(80)multiply_numbers()
-> def multiply_numbers(x, y):
(Pdb) c
Product: 150
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(108)main()
-> square_result = calculate_square(number)
(Pdb) step
--Call--
> c:\users\maxzh\python-bootcamp\max submission\6_9_hw.py(97)calculate_square()
-> def calculate_square(x):
(Pdb) c
Square: 25
Cube: 125
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# question 1: The international standard for floating-point representation is called IEEE 754.
# question 2: The IEEE 754 standard allows floating-point numbers to be represented with different bit sizes. The most commonly used formats specified by the standard are single precision (32 bits) and double precision (64 bits).
# question 3:
import sys
print(sys.float_info)
sys.float_info(max=1.7976931348623157e+308, max_exp=1024, max_10_exp=308, min=2.2250738585072014e-308, min_exp=-1021, min_10_exp=-307, dig=15, mant_dig=53, epsilon=2.220446049250313e-16, radix=2, rounds=1)
# question 4: In the first multiplication (num1 * num2), you are using the normal Python multiplication
# operator, which operates on native Python integers. Python integers have arbitrary precision, meaning they can
# represent very large numbers accurately. However, when the result exceeds the limit of a 64-bit signed integer
# (2^63 - 1), an overflow may occur, and the result may not be accurate.
# In the second multiplication (df['Number1'] * df['Number2']), you are using the Pandas multiplication operator
# on the columns of a DataFrame. By default, Pandas uses NumPy for numerical computations, and NumPy uses
# fixed-size data types. In this case, the integers in the DataFrame are most likely represented as 64-bit
# signed integers (int64), which have a maximum value of 2^63 - 1. If the result of the multiplication exceeds
# this limit, it will overflow and wrap around, leading to incorrect results.
# Question5: 5. The size of a Python floating-point number is determined by the implementation and is not influenced by the magnitude of the value it represents. So it does not change as the value of the number gets larger.
-5
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@@ -2,7 +2,6 @@ import sys
import tkinter as tk
from tkinter import ttk
def on_treeview_heading_click(column, tree):
data = [(tree.set(child, column), child) for child in tree.get_children("")]
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")
# 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
for col in tree["columns"]:
tree.heading(col, text=col, anchor=tk.W, command=lambda col=col: on_treeview_heading_click(col, tree))
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---- 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 ----
-8
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@@ -1,8 +0,0 @@
google.cloud.pubsub
plotly
pandas
numpy
h5py
selenium
sqlalchemy
flask
-21
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@@ -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>
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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)
-14
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@@ -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.")
-12
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@@ -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
)
-58
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@@ -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.")
-51
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@@ -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)
'''
-17
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@@ -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()
-8
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@@ -1,8 +0,0 @@
def think():
x=1
def think2():
nonlocal x
x=2
think2()
return x
print(think())
-33
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@@ -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")
-54
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@@ -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)
-259
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@@ -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)
-77
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@@ -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)
-63
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@@ -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.")

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