579 lines
20 KiB
Python
579 lines
20 KiB
Python
import finnhub
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import time
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import csv
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import pytz
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from datetime import datetime, timedelta
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import json
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import datetime as dt
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import sys, os, base64, hashlib, hmac, select
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import requests
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from pycoingecko import CoinGeckoAPI
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from newsapi import NewsApiClient
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def getInput(Block=False):
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if Block or select.select([sys.stdin], [], [], 0) == ([sys.stdin], [], []):
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msg = sys.stdin.read(1)
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#sys.stdin.flush()
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else:
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msg = ''
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return msg
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def readCSV(file_path, max_stocks):
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symbols = []
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stock_info = {}
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f = open(file_path, 'r')
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CSV = csv.reader(f)
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next(CSV)
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i = 0
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for row in CSV:
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if i < max_stocks:
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i += 1
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try:
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symbol, current_price, opening_price = row
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symbols.append(symbol)
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stock_info[symbol] = [current_price, opening_price]
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except:
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symbol = row[0]
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symbols.append(symbol)
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stock_info[symbol] = []
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else:
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print('max stocks exceeded')
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break
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f.close()
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return symbols, stock_info
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def readCryptoCSV(file_path, max_stocks):
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symbols = []
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names = []
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stock_info = {}
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f = open(file_path, 'r')
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CSV = csv.reader(f)
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next(CSV)
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i = 0
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unique_bases = []
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for row in CSV:
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print(row)
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if i < max_stocks:
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i += 1
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try:
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symbol, name, base, current_price, opening_price = row
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symbols.append(symbol)
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names.append(name)
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stock_info[name] = [symbol, base, current_price, opening_price]
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if base not in unique_bases:
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unique_bases.append(base)
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except:
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symbol, name, base = row
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if base not in unique_bases:
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unique_bases.append(base)
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symbols.append(symbol)
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names.append(name)
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stock_info[name] = [symbol, base]
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else:
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print('max stocks exceeded')
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break
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f.close()
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return names, stock_info, unique_bases
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def emptyInfo(symbols, stock_info):
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update = False
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for symbol in symbols:
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if len(stock_info[symbol]) == 1: # stock with no info
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update = True
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return update
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def updateUpdate(NY_time):
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NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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f = open('csv/last_update.csv', 'w+')
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f.write(NY_str + '\n')
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f.close()
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def updateStockPrices():
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finnhubsandboxAPIkey = "sandbox_c24qddqad3ickpckgg8g" #Finnhub
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finnhubAPIkey = "c24qddqad3ickpckgg80" #Finnhub
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finnhubClient = finnhub.Client(api_key=finnhubAPIkey)
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symbols, stock_info = readCSV('csv/tickers.csv', max_stocks)
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try:
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quotes = [finnhubClient.quote(symbol) for symbol in symbols]
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current_prices = [quote['c'] for quote in quotes]
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opening_prices = [quote['o'] for quote in quotes]
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CSV = open('csv/tickers.csv', 'w+')
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CSV.write('name,current,opening\n')
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for i, symbol in enumerate(symbols):
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CSV.write(symbol + ',' + str(current_prices[i]) + ',' + str(opening_prices[i]) + '\n')
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CSV.close()
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print('API called successfully')
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except Exception as e:
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print("Could not fetch data - API CALLS REACHED? - Will display old image")
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print(e)
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apiCalledError = True
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def updateStockPricesIEX():
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iexAPIkey = 'pk_68ef6a15902c41f887f0b544a0ca17cf' #IEX
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iexSandboxAPIkey = 'Tpk_0078dff413ef4f979137f7111452dc4b'
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max_stocks = 200
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symbols, stock_info = readCSV('csv/tickers.csv', max_stocks)
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try:
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symbols_str = ','.join(symbols)
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method = 'GET'
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host = 'https://cloud.iexapis.com/stable'
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lastEndpoint = '/tops/last'
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querystring = '?symbols=' + symbols_str +'&token='+iexAPIkey
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last_request_url = host + lastEndpoint + querystring
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print('\nBEGIN REQUEST++++++++++++++++++++++++++++++++++++')
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print('Request URL = ' + last_request_url)
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last_response = requests.get(last_request_url)
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if last_response.status_code == 200:
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print('last success')
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current_prices = []
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for stock in last_response.json():
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current_prices.append(stock['price'])
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for symbol in symbols:
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symbol = 'MSFT'
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method = 'GET'
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host = 'https://cloud.iexapis.com/stable'
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lastEndpoint = '/tops/last'
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intradayEndpoint = '/stock/'+ symbol+ '/intraday-prices'
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querystring = '?chartIEXOnly=true&token='+iexAPIkey
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intraday_request_url = host + intradayEndpoint + querystring
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print('\nBEGIN REQUEST++++++++++++++++++++++++++++++++++++')
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print('Request URL = ' + intraday_request_url)
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intraday_response = requests.get(intraday_request_url)
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print('\nRESPONSE++++++++++++++++++++++++++++++++++++')
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print('Response code: %d\n' % intraday_response.status_code)
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print(intraday_response.text)
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for time_point in intraday_response.json():
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print(time_point['date'])
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print(time_point['open'])
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CSV = open('csv/tickers.csv', 'w+')
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CSV.write('name,current,opening\n')
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for i, symbol in enumerate(symbols):
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CSV.write(symbol + ',' + str(current_prices[i]) + ',' + str(opening_prices[i]) + '\n')
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CSV.close()
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except Exception as e:
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print(e)
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def updateCrypto():
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coingecko_client = CoinGeckoAPI()
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coins, coin_info, unique_bases = readCryptoCSV('csv/crypto.csv', max_crypto)
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try:
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response = coingecko_client.get_price(ids=','.join(coins), vs_currencies = unique_bases, include_24hr_change=True)
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CSV = open('csv/crypto.csv', 'w+')
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CSV.write('symbol,name,base,current,24hr change\n')
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for coin in coins:
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info = coin_info[coin]
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print(info)
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CSV.write(info[0] + ',' + coin + ',' + info[1] + ',' +str(response[coin][info[1]]) + ',' + str(response[coin]['usd_24h_change']) + '\n')
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CSV.close()
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except Exception as e:
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print(e)
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def updateNews():
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try:
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try:
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#load user settings
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settings = json.load(open('csv/news_settings.json', 'r'))
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print(settings)
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headlines = newsapi.get_top_headlines(**settings)
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except:
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#if no settings just get top headlines
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headlines = newsapi.get_top_headlines()
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headline_titles = [headline['title'] for headline in headlines['articles']]
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headline_sources = [headline['source']['name'] for headline in headlines['articles']]
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headline_times = [headline['publishedAt']for headline in headlines['articles']]
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CSV = open('csv/news.csv', 'w+')
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CSV.write('headline,source,date,time\n')
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for i, title in enumerate(headline_titles):
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date, time = headline_times[i].split('T')
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CSV.write(title.replace(',', '^') + ',' + headline_sources[i] + ',' + date + ',' + time + '\n')
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CSV.close()
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except Exception as e:
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print(e)
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def updateWeather():
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api_key = 'bd5d5096a5ba30bbcfb57ead42ab3fee'
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try:
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f = open( "csv/weather_location.txt", 'r' )
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location = f.read()
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f.close()
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url = "https://api.openweathermap.org/data/2.5/weather?q={}&units=metric&appid={}".format(location, api_key)
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r = requests.get(url)
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weather = r.json()
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print(weather)
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current_weather = {}
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coords = weather['coord']
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lat = coords['lat']
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lon = coords['lon']
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url = 'https://api.openweathermap.org/data/2.5/onecall?lat={}&units=metric&lon={}&appid={}'.format(lat, lon, api_key)
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r = requests.get(url)
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current_weather['main_weather'] = weather['weather'][0]['main']
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current_weather['description'] = weather['weather'][0]['description']
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current_weather['temp'] = weather['main']['temp']
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current_weather['min_temp'] = weather['main']['temp_min']
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current_weather['max_temp'] = weather['main']['temp_max']
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current_weather['feels_like'] = weather['main']['feels_like']
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current_weather['humidity'] = weather['main']['humidity']
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current_weather['clouds'] = weather['clouds']['all']
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current_weather['wind_speed'] = weather['wind']['speed']
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current_weather['wind_direction'] = weather['wind']['deg']
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current_weather['visibility'] = weather['visibility']
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current_weather['uv'] = r.json()['current']['uvi']
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current_weather['rain_chance'] = r.json()['hourly'][0]['pop']
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json.dump( current_weather, open( "csv/current_weather.json", 'w+' ))
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daily_weather = []
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daily = r.json()['daily']
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for day in daily:
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dct = {}
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dct['main_weather'] = day['weather'][0]['main']
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dct['description'] = day['weather'][0]['description']
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dct['min_temp'] = day['temp']['min']
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dct['max_temp'] = day['temp']['max']
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daily_weather.append(dct)
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json.dump( daily_weather, open( "csv/daily_weather.json", 'w+' ))
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except Exception as e:
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print(e)
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def updateForex():
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api_key = '862dbb6d1101ce0c5136'
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try:
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base = 'USD'
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yesterday = datetime.now() - timedelta(1)
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str_tod = datetime.strftime(datetime.now(), '%Y-%m-%d')
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str_yest = datetime.strftime(yesterday, '%Y-%m-%d')
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url = 'https://api.frankfurter.app/{}..{}?from={}'.format(str_yest, str_tod, base)
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r = requests.get(url)
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all_data = r.json()
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currencies = ['AUD', 'CAD', 'CHF', 'EUR', 'GBP', 'JPY', 'NZD']
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c_dict = {}
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for curr in currencies:
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current = all_data['rates'][str_tod][curr]
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yesterday = all_data['rates'][str_yest][curr]
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change = current - yesterday
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c_dict[curr] = [current, yesterday]
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json.dump([base, c_dict], open( "csv/currency.json", 'w+' ))
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except Exception as e:
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print(e)
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def updateLeagueTable(api_key, league_id):
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url = 'https://www.thesportsdb.com/api/v1/json/{}/lookuptable.php?l={}&s=2020-2021'.format(api_key, league_id)
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r = requests.get(url)
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all_data = r.json()
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premier_teams = []
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for i in range(len(all_data['table'])):
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team = {}
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if all_data['table'][i]['strTeam'] == "Calgary Flames":
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print(all_data['table'][i]['dateUpdated'], all_data['table'][i]['intPoints'])
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team['name'] = all_data['table'][i]['strTeam']
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team['wins'] = all_data['table'][i]['intWin']
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team['loss'] = all_data['table'][i]['intLoss']
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team['draw'] = all_data['table'][i]['intDraw']
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team['played'] = all_data['table'][i]['intPlayed']
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team['standing'] = all_data['table'][i]['intRank']
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team['points'] = all_data['table'][i]['intPoints']
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premier_teams.append(team)
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if league_id == '4328':
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league = 'premier_league'
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elif league_id == '4380':
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league = 'NHL'
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elif league_id == '4387':
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league = 'NBA'
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elif league_id == '4391':
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league = 'NFL'
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json.dump(premier_teams, open( "csv/sports/{}/team_stats.json".format(league), 'w+' ))
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def updateLeagueEvents(api_key, league_id, time):
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if time == 'past':
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url ='https://www.thesportsdb.com/api/v1/json/{}/eventspastleague.php?id={}'.format(api_key, league_id) #last 15 events on the league (premium only)
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elif time == 'future':
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url ='https://www.thesportsdb.com/api/v1/json/{}/eventsnextleague.php?id={}'.format(api_key, league_id) #next 15 events on the league (premium only)
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elif time == 'live':
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url = 'https://thesportsdb.com/api/v2/json/{}/livescore.php?l={}'.format(api_key, league_id)
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r = requests.get(url)
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all_data = r.json()
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print()
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#print(all_data['events'][0].keys())
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#print([all_data['events'][i]['strTimestamp'] for i in range(len(all_data['events']))])
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events = []
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if not all_data['events'] is None:
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for i in range(len(all_data['events'])):
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event = {}
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event['date'] = all_data['events'][i]['dateEvent']
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if time == 'live':
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event['time'] = all_data['events'][i]['strEventTime']
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event['progess'] = all_data['events'][i]['strProgress']
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event['status'] = all_data['events'][i]['strStatus']
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else:
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event['time'] = all_data['events'][i]['strTime']
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event['round'] = all_data['events'][i]['intRound']
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event['home_team'] = all_data['events'][i]['strHomeTeam']
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event['home_score'] = all_data['events'][i]['intHomeScore']
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event['away_team'] = all_data['events'][i]['strAwayTeam']
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event['away_score'] = all_data['events'][i]['intAwayScore']
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events.append(event)
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if league_id == '4328':
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league = 'premier_league'
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elif league_id == '4380':
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league = 'NHL'
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elif league_id == '4387':
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league = 'NBA'
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elif league_id == '4391':
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league = 'NFL'
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json.dump(events, open( "csv/sports/{}/{}_games.json".format(league, time), 'w+' ))
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def updateSports():
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#read user settings to decide which sprots to update
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api_key = '97436974'
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prem_id = '4328' #prem
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NHL_id = '4380'
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NBA_id = '4387' #prem
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NFL_id = '4391'
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for i in [NHL_id]:
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updateLeagueEvents(api_key, i, 'live')
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updateLeagueEvents(api_key, i, 'past')
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updateLeagueEvents(api_key, i, 'future')
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updateLeagueTable(api_key, prem_id)
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'https://www.thesportsdb.com/api/v1/json/{}/eventsnext.php?id=133602'.format(api_key) # next five events by team ID (paid) use this for upcoming team games
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#url = 'https://www.thesportsdb.com/api/v1/json/{}/eventsseason.php?id=4328&s=2020-2021'.format(api_key) # all past events in premier league
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url = 'https://www.thesportsdb.com/api/v2/json/{}/livescore.php?l=4380'.format(api_key) #live scores
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def checkStocks(last_update, update_frequency):
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
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closing = NY_time.replace(hour=16, minute=0, second=0, microsecond=0).replace(tzinfo=None)
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symbols, stock_info = readCSV('csv/tickers.csv', max_stocks)
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updated = False
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diff = (NY_time - last_update).total_seconds()/60 #minutes
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if opening < NY_time < closing and datetime.today().weekday() < 5: # we need to do real time updating
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if diff >= update_frequency:
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updated = True
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updateStockPrices()
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elif emptyInfo(symbols, stock_info): # if theres any empty stocks
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updated = True
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updateStockPrices()
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else:
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# update if last update was before the previous days closing
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yday_closing = closing - dt.timedelta(days=1)
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yday_str = yday_closing.strftime("%d/%m/%Y %H:%M:%S")
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yday_closing = datetime.strptime(yday_str, "%d/%m/%Y %H:%M:%S")
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if last_update < yday_closing:
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updated = True
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updateStockPrices(symbols)
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return updated
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if __name__ == '__main__':
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max_stocks = 200
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max_crypto = 100
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newsapi = NewsApiClient(api_key='cf08652bd17647b89aaf469a1a8198a9')
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update_frequencies = {'stocks':2, 'crypto':10, 'news':60, 'weather': 10} #minutes
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NY_zone = pytz.timezone('America/New_York')
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CET_zone = pytz.timezone('Europe/Berlin')
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NY_time = datetime.now(NY_zone)
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CET_time = datetime.now(CET_zone)
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NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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CET_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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#f = open('csv/last_updates.json', 'w+')
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#update_times = {'stocks':NY_str, 'crypto':NY_str, 'news':NY_str, 'weather': NY_str, 'forex': CET_str} # all in NY time apart from forex in CET
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#json.dump(update_times, f)
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#f.close()
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f = open('csv/last_updates.json', 'r')
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last_updates = json.load(f)
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f.close()
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t = time.time()
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logf = open("log.txt", "w")
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try:
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while True:
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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msg = getInput()
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#stocks
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stock_time = datetime.strptime(last_updates['stocks'], "%d/%m/%Y %H:%M:%S")
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stock_frequency = update_frequencies['stocks']
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if checkStocks(stock_time, stock_frequency):
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stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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last_updates['stocks'] = stock_time
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# crypto
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crypto_time = datetime.strptime(last_updates['crypto'], "%d/%m/%Y %H:%M:%S")
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crypto_frequency = update_frequencies['crypto']
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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diff = (NY_time - crypto_time).total_seconds()/60 #minutes
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if diff >= update_frequencies['crypto']:
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crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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updateCrypto()
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last_updates['crypto'] = crypto_time
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# weather
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weather_time = datetime.strptime(last_updates['weather'], "%d/%m/%Y %H:%M:%S")
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weather_frequency = update_frequencies['weather']
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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diff = (NY_time - weather_time).total_seconds()/60 #minutes
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if diff >= update_frequencies['weather']:
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weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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updateWeather()
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last_updates['weather'] = weather_time
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# weather
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news_time = datetime.strptime(last_updates['news'], "%d/%m/%Y %H:%M:%S")
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news_frequency = update_frequencies['news']
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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diff = (NY_time - weather_time).total_seconds()/60 #minutes
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if diff >= update_frequencies['news']:
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news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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updateNews()
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last_updates['news'] = news_time
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#forex updates once every 24hours at 1700 CET
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# update if last update was before the previous days closing
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forex_time = datetime.strptime(last_updates['forex'], "%d/%m/%Y %H:%M:%S")
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CET_time = datetime.now(CET_zone)
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yday_update = (CET_time.replace(hour=17, minute=00, second=0, microsecond=0) - dt.timedelta(days=1)).replace(tzinfo=None)
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if forex_time < yday_update:
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forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S")
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last_updates['forex'] = forex_time
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updateForex()
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except Exception as e:
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logf.write(str(e))
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print(e)
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