def returnCurrent():
stockSymbols = getSymbolsDatabase()
totalPrice = []
# Loops through all stocks, printing out their current prices
for stock in stockSymbols:
price = getData(stock)
converted = float(price[1])
totalPrice.append(converted)
newTotalPrice = sum(totalPrice)
return round(newTotalPrice,2)
def current():
print("Checking current prices...\n")
# Make sure to enter data in quotes
stockSymbols = getSymbolsDatabase()
totalPrice = []
# Loops through all stocks, printing out their current prices
for stock in stockSymbols:
price = getData(stock)
converted = float(price[1])
totalPrice.append(converted)
print("{} is valued at ${} \n" .format(stock, price[1]))
newTotalPrice = sum(totalPrice)
print("Your portfolio is currently valued at ${}" .format(round(newTotalPrice, 2)))
def getPlayers(playerFile, nGames): players = [] if os.path.exists(playerFile): # Load saved player data players = pickle.load(open(playerFile, 'rb')) # Add missing players # players2, defense = scrape.getData(nGames, ['Joseph Young']) # for name in players2: # players[name] = players2[name] # pickle.dump(players, open(playerFile, 'wb'), protocol=3) else: # Scrape and save player data players, defenses = scrape.getData(nGames, None) pickle.dump(players, open(playerFile, 'wb'), protocol=3) return players
date = input('Enter the game(s) date you want to pull in YYYYMMDD format, after 20151027: ')
url = "http://www.nba.com/gameline/" + str(date) + "/"
homeTeams, awayTeams = getGames.getInitialData(url)
homeTeams, awayTeams = getGames.getTeams(homeTeams, awayTeams)
homeTeams = getGames.removeTeamDuplicates(homeTeams)
awayTeams= getGames.removeTeamDuplicates(awayTeams)
homeTeams = getGames.cleanTeams(homeTeams)
awayTeams = getGames.cleanTeams(awayTeams)
schedule = getGames.createSchedule(awayTeams, homeTeams)
scoreboardURLs = getGames.getScoreboard(date, schedule)
print(scoreboardURLs)
gamePlayerDataOdd, gamePlayerDataEven = scrape.getData(scoreboardURLs)
#print(gamePlayerDataOdd)
names = scrape.getLinks(scoreboardURLs)
names = scrape.getNameLinks(names)
names = getGames.removeTeamDuplicates(names)
names = scrape.getNames(names)
print(names)
print('You have reached the end and the "raw_input()" function is keeping the window open')
raw_input()
import streamlit as st
from scrape import getData
st.title("Github Scraper")
userName = st.text_input('Enter Github Username')
if userName != '':
try:
info, repo_info = getData(userName)
for key, value in info.items():
if key != 'image_url':
st.subheader('''
{} : {}
'''.format(key, value))
else:
st.image(value)
st.subheader(" Recent Repositories")
st.table(repo_info)
except:
st.subheader("User doesn't exist")
from data_handlers import appendData
from email_handler import send_email
from graph import plotGraph
from config import config
from scrape import getData
for item in config:
data = getData(item)
appendData(data)
if data["price_num"] < data["target_price"]:
send_email(data)
else:
print("Product is not below target price")
# path to notification window icon
ICON_PATH = "/home/sanket/Desktop/training/Corona\ notifier/icon.ico"
# initialise the d-bus connection
notify2.init("Corona Notifier")
# create Notification object
n = notify2.Notification(None, icon = ICON_PATH)
# set urgency level
n.set_urgency(notify2.URGENCY_NORMAL)
# set timeout for a notification
n.set_timeout(10000)
while True:
confirmed,cured,deaths=scrape.getData()
# update notification data for Notification object
n.update("Corona Update", "Confirmed Cases: "+confirmed+"\n"+"Cured: "+cured+"\n"+"Deaths: "+deaths)
# show notification on screen
n.show()
# short delay between notifications
time.sleep(3600)
print("Hello, starting up the python engine in main.py")
print("Base_url: ", base_url)
pull_the_plug = False
json_written_locally = False
success_log = {}
# Extract data
try:
print("1. Trying to get link data from wikipedia...")
print("Sys Arg V ", sys.argv)
getData(start_link=sys.argv[1],
first_leaf_limit=500,
second_leaf_limit=500,
output_location='data/history.gexf')
print("--1. [x] SUCCESS")
success_log[
'--1. Trying to get link data from wikipedia...'] = 'SUCCESS'
except Exception as e:
pull_the_plug = True
print("--1. Error in getting link data from wikipedia...", e)
success_log['--1. Getting link data from wikipedia'] = 'FAIL'
# Parse/Prepare Data
try:
print('2. Trying to read data...')
G = nx.read_gexf('./data/history.gexf')
import scrape, lineups
def output(data):
#print players
print('[ %s, %s, %s, %s, %s, %s, %s, %s, %s ]' % data[0])
print("Projected Score: %0.2f" % data[1])
players = scrape.getData()
best = lineups.run(players)
for data in best:
output(data)
print('')