1422 lines
55 KiB
Python
Executable File
1422 lines
55 KiB
Python
Executable File
# Copyright (C) 2020 Fintic, finticofficial@gmail.com
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#
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# This file is part of Fintic project, developed by Neythen Treloar and Justin Dunn
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#
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# This code can not be copied and/or distributed without the express
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# permission of Fintic
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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 subprocess
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import json
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import urllib.request
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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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import traceback
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from geopy import geocoders
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from multiprocessing import Process
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try:
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time.sleep(80)
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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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last_updates['stocks']['force'] = True
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last_updates['sports_l']['force'] = True
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f = open('csv/last_updates.json', 'w')
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json.dump(last_updates, f)
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f.close()
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except:
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pass
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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 emptyInfo(symbols, stock_info):
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update = False
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for symbol in symbols:
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if 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 updateStocks(api_key, logf):
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try:
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max_stocks = 200
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f = open('csv/stocks_settings.json', 'r')
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all_stocks_settings = json.load(f)
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f.close()
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stock_info = all_stocks_settings['symbols']
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symbols = list(stock_info.keys())
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/stocks?symbols='
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for symbol in symbols:
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url += symbol + ','
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url += '&apiKey=' + api_key
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response = requests.get(url)
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data = response.json()
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# stock_info = {}
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if len(data) > 0:
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for symbol in symbols:
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for stock in data:
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if stock['symbol'] == symbol:
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stock_info[stock['symbol']] = {'current': stock['price'], 'change': stock['change_since'], 'percent_change':stock['percent']}
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all_stocks_settings['symbols'] = stock_info
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f = open('csv/stocks_settings.json', 'w+')
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json.dump(all_stocks_settings, f)
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f.close()
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except:
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pass
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#logf = open('log.txt', "a")
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#exc_type, exc_obj, exc_tb = sys.exc_info()
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#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
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#logf.write(str(e))
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#logf.write('. file: ' + fname)
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#logf.write('. line: ' + str(exc_tb.tb_lineno))
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#logf.write('. type: ' + str(exc_type))
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#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
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#logf.close()
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def updateCommodities(api_key, logf):
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try:
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f = open('csv/commodities_settings.json', 'r')
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all_commodities_settings = json.load(f)
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f.close()
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commodity_info = all_commodities_settings['symbols']
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symbols = list(commodity_info.keys())
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/commodities?symbols='
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for symbol in symbols:
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url += symbol + ','
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url += '&apiKey=' + api_key
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response = requests.get(url)
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data = response.json()
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commodity_info = {}
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if len(data) > 0:
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for symbol in symbols:
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for commodity in data:
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if commodity['symbol'] == symbol:
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commodity_info[commodity['symbol']] = {'current': commodity['price'], 'unit': commodity['unit'], '24hr_change': commodity['price_over_24hr'], 'percent_change': commodity['percent_over_24hr']}
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all_commodities_settings['symbols'] = commodity_info
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f = open('csv/commodities_settings.json', 'w+')
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json.dump(all_commodities_settings, f)
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f.close()
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except:
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pass
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#logf = open('log.txt', "a")
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#exc_type, exc_obj, exc_tb = sys.exc_info()
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#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
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#logf.write(str(e))
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#logf.write('. file: ' + fname)
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#logf.write('. line: ' + str(exc_tb.tb_lineno))
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#logf.write('. type: ' + str(exc_type))
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#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
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#logf.close()
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def human_format(num):
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num = float('{:.3g}'.format(num))
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magnitude = 0
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while abs(num) >= 1000:
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magnitude += 1
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num /= 1000.0
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return '{}{}'.format('{:f}'.format(num).rstrip('0').rstrip('.'), ['', 'K', 'M', 'B', 'T'][magnitude])
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def updateMovies(api_key, logf):
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f = open('csv/movie_settings.json', 'r')
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all_settings = json.load(f)
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f.close()
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if all_settings['category'] == 'Popular Movies':
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url = 'https://api.themoviedb.org/3/trending/movie/day?'
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movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US'
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movieGenre_response = requests.get(movieGenre_url)
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movie_genres = movieGenre_response.json()
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elif all_settings['category'] == 'Popular TV':
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url = 'https://api.themoviedb.org/3/trending/tv/day?'
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tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US'
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tvGenre_response = requests.get(tvGenre_url)
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tv_genres = tvGenre_response.json()
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elif all_settings['category'] == 'Popular All':
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url = 'https://api.themoviedb.org/3/trending/all/day?'
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movieGenre_url = 'https://api.themoviedb.org/3/genre/movie/list?api_key=' + api_key + '&language=en-US'
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movieGenre_response = requests.get(movieGenre_url)
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movie_genres = movieGenre_response.json()
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tvGenre_url = 'https://api.themoviedb.org/3/genre/tv/list?api_key=' + api_key + '&language=en-US'
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tvGenre_response = requests.get(tvGenre_url)
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tv_genres = tvGenre_response.json()
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url += 'api_key=' + api_key
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response = requests.get(url)
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data = response.json()
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this_out = []
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logo_files = []
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if len(data) > 0:
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movies = data['results']
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for movie in movies:
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if movie['media_type'] == 'movie':
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movie_id = movie['id']
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box_office_url = 'https://api.themoviedb.org/3/movie/' + str(movie_id) + '?api_key=' + api_key
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box_office_response = requests.get(box_office_url)
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box_office_data = box_office_response.json()
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budget = human_format(box_office_data['budget'])
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revenue = human_format(box_office_data['revenue'])
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else:
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budget = '0'
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revenue = '0'
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movie_language = movie['original_language']
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movie_votes = movie['vote_average']
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movie_votes = "{:.1f}".format(movie_votes)
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try:
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movie_titles = movie['title']
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movie_date = movie['release_date']
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except KeyError:
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movie_titles = movie['name']
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movie_date = movie['first_air_date']
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movie_type = movie['media_type']
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movie_genre = movie['genre_ids']
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movie_logo = 'https://image.tmdb.org/t/p/w500' + movie['backdrop_path']
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genrefinal = []
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if all_settings['category'] == 'Popular Movies':
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for i in movie_genre:
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for genre in movie_genres['genres']:
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if genre['name'] == 'Science Fiction':
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genre['name'] = 'Sci-Fi'
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if i == genre['id']:
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i = genre['name']
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genrefinal.append(i)
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elif all_settings['category'] == 'Popular TV':
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for i in movie_genre:
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for genre in tv_genres['genres']:
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if i == genre['id']:
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i = genre['name']
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genrefinal.append(i)
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elif all_settings['category'] == 'Popular All':
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if movie['media_type'] == 'movie':
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for i in movie_genre:
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for genre in movie_genres['genres']:
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if genre['name'] == 'Science Fiction':
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genre['name'] = 'Sci-Fi'
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if i == genre['id']:
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i = genre['name']
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genrefinal.append(i)
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elif movie['media_type'] == 'tv':
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for i in movie_genre:
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for genre in tv_genres['genres']:
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if i == genre['id']:
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i = genre['name']
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genrefinal.append(i)
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this_out.append({'title':movie_titles,
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'language':movie_language.upper(),
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'votes':str(movie_votes),
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'date':movie_date,
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'media_type':movie_type.capitalize(),
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'genre':genrefinal,
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'budget':budget,
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'revenue':revenue,
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'backdrop':movie['backdrop_path'][1:],
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'logo': movie_logo
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})
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logo_files.append(movie['backdrop_path'][1:])
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if movie['backdrop_path'][1:] not in os.listdir('logos/movies/'):
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urllib.request.urlretrieve(movie_logo,'logos/movies/' + movie['backdrop_path'])
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time.sleep(0.5)
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for file in os.listdir('logos/movies/'):
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if file not in logo_files:
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os.remove('logos/movies/'+file)
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all_settings['movies'] = this_out
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f = open('csv/movie_settings.json', 'w+')
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json.dump(all_settings, f)
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f.close()
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def updateIpo(api_key, logf):
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day = datetime.now(pytz.utc).strftime("%Y-%m-%d")
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dt = datetime.strptime(day, "%Y-%m-%d")
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start = (dt - timedelta(days=dt.weekday()))
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start_date = start.strftime("%Y-%m-%d")
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end = start + timedelta(days=21)
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end_date = end.strftime("%Y-%m-%d")
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ipo_url = 'https://finnhub.io/api/v1/calendar/ipo?from='+start_date+'&to='+end_date+'&token='+api_key
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f = open('csv/ipo_settings.json', 'r')
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ipo_settings = json.load(f)
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f.close()
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data = requests.get(ipo_url)
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all_ipo = data.json()
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ipo_list = []
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try:
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if len(all_ipo['ipoCalendar']) > 0:
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for ipo in all_ipo['ipoCalendar']:
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try:
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shares = human_format(ipo['numberOfShares'])
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except:
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shares = 'N/A'
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try:
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sharesvalue = human_format(ipo['totalSharesValue'])
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except:
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sharesvalue = 'N/A'
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ipo_list.append({
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'date':ipo['date'],
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'name':ipo['name'],
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'shares':shares,
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'price':ipo['price'],
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'status':ipo['status'],
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'symbol':ipo['symbol'],
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'sharesvalue':sharesvalue
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})
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else:
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ipo_list = ['No Data']
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except:
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ipo_list = ['No Data']
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ipo_settings['symbols'] = ipo_list
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f = open('csv/ipo_settings.json', 'w+')
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json.dump(ipo_settings, f)
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f.close()
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def updateIndices(api_key, logf):
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try:
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f = open('csv/indices_settings.json', 'r')
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all_indices_settings = json.load(f)
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f.close()
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index_info = all_indices_settings['symbols']
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symbols = list(index_info.keys())
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/indices?symbols='
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for symbol in symbols:
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url += symbol + ','
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url += '&apiKey=' + api_key
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response = requests.get(url)
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data = response.json()
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index_info = {}
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if len(data) > 0:
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for symbol in symbols:
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for index in data:
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if index['symbol'] == symbol:
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index_info[index['symbol']] = {'name': index['name'], 'current': index['price'], 'point_change': index['change'], 'percent_change': index['percent_change']}
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all_indices_settings['symbols'] = index_info
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f = open('csv/indices_settings.json', 'w+')
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json.dump(all_indices_settings, f)
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f.close()
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except:
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pass
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#logf = open('log.txt', "a")
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#exc_type, exc_obj, exc_tb = sys.exc_info()
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#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
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#logf.write(str(e))
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#logf.write('. file: ' + fname)
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#logf.write('. line: ' + str(exc_tb.tb_lineno))
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#logf.write('. type: ' + str(exc_type))
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#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
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#logf.close()
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def updateCrypto(api_key, logf):
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try:
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f = open('csv/crypto_settings.json', 'r')
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all_crypto_settings = json.load(f)
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f.close()
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coin_info = all_crypto_settings['symbols']
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symbol_base = list(coin_info.keys())
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symbols = [sb.split(',')[0] for sb in symbol_base]
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bases = [sb.split(',')[1] for sb in symbol_base]
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unique_bases = list(set(bases))
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/crypto?symbols='
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for i,s in enumerate(symbols):
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url += bases[i] + '-' + s + ','
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url = url[:-1] #remove last comma
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url += '&apiKey=' + api_key
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response = requests.get(url)
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data = response.json()
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coin_info = {}
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if len(data) > 0:
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for sb in symbol_base:
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for i,d in enumerate(data):
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symbol = d['symbol']
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base = d['currency']
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if symbol.upper() + ',' + base.upper() == sb:
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coin_info[symbol.upper() + ',' + base.upper()] = {'current': d['price'], '24hr_change': d['price_over_24hr'], 'percent_change': d['percent_over_24hr']}
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all_crypto_settings['symbols'] = coin_info
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f = open('csv/crypto_settings.json', 'w+')
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json.dump(all_crypto_settings, f)
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f.close()
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except:
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pass
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#logf = open('log.txt', "a")
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#exc_type, exc_obj, exc_tb = sys.exc_info()
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#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
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#logf.write(str(e))
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#logf.write('. file: ' + fname)
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#logf.write('. line: ' + str(exc_tb.tb_lineno))
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#logf.write('. type: ' + str(exc_type))
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#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
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#logf.close()
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def updateForex(api_key, logf):
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try:
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f = open('csv/forex_settings.json', 'r')
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all_forex_settings = json.load(f)
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f.close()
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forex_info = all_forex_settings['symbols']
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symbol_base = list(forex_info.keys())
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symbols = [sb.split(',')[0] for sb in symbol_base]
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bases = [sb.split(',')[1] for sb in symbol_base]
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unique_bases = list(set(bases))
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targets = ','.join(symbols)
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/forex?symbols='
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for i,s in enumerate(symbols):
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url += s + '-' + bases[i] + ','
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url = url[:-1] #remove last comma
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url += '&apiKey=' + api_key
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|
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response = requests.get(url)
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data = response.json()
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if len(data) > 0:
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c_dict = {}
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for sb in symbol_base:
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for d in data:
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if d['uid'].replace('/',',') == sb:
|
|
c_dict[d['uid'].replace('/',',')] = {'current': d['rate'], '24hr_change': d['rate_over_24hr'], 'percent_change':d['percent_over_24hr']}
|
|
|
|
|
|
|
|
|
|
all_forex_settings['symbols'] = c_dict
|
|
|
|
f = open( "csv/forex_settings.json", 'w+' )
|
|
json.dump(all_forex_settings, f)
|
|
f.close()
|
|
except:
|
|
pass
|
|
#logf = open('log.txt', "a")
|
|
#exc_type, exc_obj, exc_tb = sys.exc_info()
|
|
#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
|
|
#logf.write(str(e))
|
|
#logf.write('. file: ' + fname)
|
|
#logf.write('. line: ' + str(exc_tb.tb_lineno))
|
|
#logf.write('. type: ' + str(exc_type))
|
|
#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
|
|
#logf.close()
|
|
|
|
|
|
def updateNews(api_key, logf):
|
|
|
|
try:
|
|
f = open('csv/news_settings.json', 'r')
|
|
all_settings = json.load(f)
|
|
f.close()
|
|
|
|
if all_settings['use_country']:
|
|
if all_settings['country'] == 'Worldwide':
|
|
url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news_worldwide?'
|
|
else:
|
|
c_dict = {'United States':'US', 'Australia':'AU', 'Canada': 'CA', 'Great Britain':'GB', 'New Zealand':'NZ', 'Ireland':'IE', 'Singapore':'SG', 'South Africa': 'ZA', 'Germany': 'DE', 'Hong Kong': 'HK', 'Japan': 'JP', 'South Korea': 'KR', 'China': 'CN', 'France': 'FR', 'India': 'IN', 'Italy': 'IT', 'Switzerland': 'CH', 'Netherlands': 'NL', 'Spain': 'ES', 'Brazil': 'BR', 'Portugal': 'PT'}
|
|
cc = c_dict[all_settings['country']]
|
|
url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country={}'.format(cc)
|
|
elif all_settings['use_category']:
|
|
url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?category={}'.format(all_settings['category'])
|
|
|
|
url += '&apiKey=' + api_key
|
|
response = requests.get(url)
|
|
data = response.json()
|
|
|
|
if len(data) > 0:
|
|
max_headlines = int(all_settings['num_headlines'])
|
|
#load user settings
|
|
headlines = data[:max_headlines]
|
|
headline_sources = [headline['source'] for headline in headlines]
|
|
headline_titles = [headline['title'] for headline in headlines]
|
|
|
|
headline_times = [headline['publishedAt'] for headline in headlines]
|
|
|
|
headlines = list(zip(headline_titles, headline_sources, headline_times))
|
|
|
|
all_settings['headlines'] = headlines
|
|
|
|
f = open('csv/news_settings.json', 'w+')
|
|
json.dump(all_settings, f)
|
|
f.close()
|
|
|
|
|
|
|
|
except:
|
|
pass
|
|
|
|
#logf = open('log.txt', "a")
|
|
#exc_type, exc_obj, exc_tb = sys.exc_info()
|
|
#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
|
|
#logf.write(str(e))
|
|
#logf.write('. file: ' + fname)
|
|
#logf.write('. line: ' + str(exc_tb.tb_lineno))
|
|
#logf.write('. type: ' + str(exc_type))
|
|
#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
|
|
#logf.close()
|
|
|
|
|
|
def updateWeather(api_key, logf):
|
|
|
|
max_cities = 30
|
|
|
|
try:
|
|
gn = geocoders.GeoNames(username='fintic')
|
|
|
|
f = open('csv/daily_weather.json', 'r')
|
|
all_daily_settings = json.load(f)
|
|
f.close()
|
|
|
|
f = open('csv/current_weather.json', 'r')
|
|
all_current_settings = json.load(f)
|
|
f.close()
|
|
|
|
current_locations = list(all_current_settings['locations'].keys())
|
|
daily_locations = list(all_daily_settings['locations'].keys())
|
|
|
|
all_locations = list(set(current_locations + daily_locations))
|
|
|
|
|
|
|
|
|
|
current_weathers = {}
|
|
daily_weathers = {}
|
|
|
|
|
|
|
|
for location in all_locations:
|
|
loc = gn.geocode(location)
|
|
current_weather = {}
|
|
|
|
lat = loc.latitude
|
|
lon = loc.longitude
|
|
url = 'https://api.openweathermap.org/data/2.5/onecall?lat={}&units=metric&lon={}&appid={}'.format(lat, lon, api_key)
|
|
r = requests.get(url)
|
|
|
|
weather = r.json()['current']
|
|
|
|
current_weather['main_weather'] = weather['weather'][0]['main']
|
|
current_weather['description'] = weather['weather'][0]['description']
|
|
current_weather['temp'] = weather['temp']
|
|
current_weather['min_temp'] = r.json()['daily'][0]['temp']['min']
|
|
current_weather['max_temp'] = r.json()['daily'][0]['temp']['max']
|
|
current_weather['feels_like'] = weather['feels_like']
|
|
current_weather['humidity'] = weather['humidity']
|
|
current_weather['clouds'] = weather['clouds']
|
|
current_weather['wind_speed'] = weather['wind_speed']
|
|
current_weather['wind_direction'] = weather['wind_deg']
|
|
current_weather['visibility'] = weather['visibility']
|
|
current_weather['uv'] = weather['uvi']
|
|
current_weather['rain_chance'] = r.json()['hourly'][0]['pop']
|
|
|
|
|
|
if location in current_locations:
|
|
current_weathers[location] = current_weather
|
|
|
|
daily_weather = []
|
|
daily = r.json()['daily']
|
|
|
|
for day in daily:
|
|
dct = {}
|
|
dct['main_weather'] = day['weather'][0]['main']
|
|
dct['description'] = day['weather'][0]['description']
|
|
dct['min_temp'] = day['temp']['min']
|
|
dct['max_temp'] = day['temp']['max']
|
|
daily_weather.append(dct)
|
|
|
|
#add relevant urrent information to first day in daily
|
|
daily_weather[0]['temp'] = weather['temp']
|
|
daily_weather[0]['rain_chance'] = current_weather['rain_chance']
|
|
daily_weather[0]['humidity'] = current_weather['humidity']
|
|
daily_weather[0]['wind_speed'] = current_weather['wind_speed']
|
|
daily_weather[0]['uv'] = current_weather['uv']
|
|
daily_weather[0]['clouds'] = current_weather['clouds']
|
|
daily_weather[0]['wind_speed'] = current_weather['wind_speed']
|
|
daily_weather[0]['wind_direction'] = current_weather['wind_direction']
|
|
daily_weather[0]['visibility'] = current_weather['visibility']
|
|
|
|
if location in daily_locations:
|
|
daily_weathers[location] = daily_weather
|
|
|
|
|
|
|
|
all_current_settings['locations'] = current_weathers
|
|
all_daily_settings['locations'] = daily_weathers
|
|
f = open( "csv/current_weather.json", 'w+' )
|
|
json.dump( all_current_settings, f)
|
|
f.close()
|
|
|
|
f = open( "csv/daily_weather.json", 'w+' )
|
|
json.dump( all_daily_settings, f)
|
|
f.close()
|
|
|
|
except:
|
|
pass
|
|
#logf = open('log.txt', "a")
|
|
#exc_type, exc_obj, exc_tb = sys.exc_info()
|
|
#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
|
|
#logf.write(str(e))
|
|
#logf.write('. file: ' + fname)
|
|
#logf.write('. line: ' + str(exc_tb.tb_lineno))
|
|
#logf.write('. type: ' + str(exc_type))
|
|
#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
|
|
|
|
#logf.close()
|
|
|
|
|
|
def updateLeagueTables(api_key, logf):
|
|
|
|
url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?stats='
|
|
try:
|
|
f = open('csv/league_tables.json', 'r')
|
|
all_settings = json.load(f)
|
|
|
|
f.close()
|
|
|
|
leagues = all_settings['leagues'].keys()
|
|
leagues_info = {}
|
|
|
|
for league in leagues:
|
|
if league == 'PREMIERLEAGUE':
|
|
url += 'PREMIERLEAGUE,'
|
|
else:
|
|
url += league + ','
|
|
|
|
url = url[:-1] # remove last comma
|
|
url += '&apiKey=' + api_key
|
|
r = requests.get(url)
|
|
|
|
all_data = r.json()
|
|
|
|
|
|
|
|
for i,l in enumerate(all_data):
|
|
|
|
league = list(l.keys())[0]
|
|
|
|
|
|
teams = []
|
|
|
|
|
|
for d in all_data[i][league]:
|
|
team = {}
|
|
|
|
|
|
|
|
team['name'] = d['strTeam']
|
|
team['wins'] = d['intWin']
|
|
team['loss'] = d['intLoss']
|
|
team['draw'] = d['intDraw']
|
|
#team['played'] = d['intPlayed']
|
|
team['standing'] = d['intRank']
|
|
#team['points'] = d['intPoints']
|
|
|
|
teams.append(team)
|
|
leagues_info[league.upper()] = teams
|
|
|
|
all_settings['leagues'] = leagues_info
|
|
f = open( "csv/league_tables.json".format(league), 'w+' )
|
|
json.dump(all_settings, f)
|
|
|
|
f.close()
|
|
except:
|
|
pass
|
|
|
|
#logf = open('log.txt', "a")
|
|
#exc_type, exc_obj, exc_tb = sys.exc_info()
|
|
#fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
|
|
#logf.write(str(e))
|
|
#logf.write('. file: ' + fname)
|
|
#logf.write('. line: ' + str(exc_tb.tb_lineno))
|
|
#logf.write('. type: ' + str(exc_type))
|
|
#logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
|
|
#logf.close()
|
|
|
|
|
|
def updatePLtime():
|
|
|
|
f = open('csv/live_games.json')
|
|
|
|
try:
|
|
all_settings = json.load(f)
|
|
f.close()
|
|
|
|
try:
|
|
for league in all_settings['leagues']:
|
|
if league == 'PREMIERLEAGUE':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False)
|
|
premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False)
|
|
except:
|
|
pass
|
|
except:
|
|
pass
|
|
|
|
|
|
def updateLeagueEvents(api_key, time, logf):
|
|
|
|
url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?{}='.format(time)
|
|
|
|
if time == 'past':
|
|
f = open('csv/past_games.json')
|
|
elif time == 'upcoming':
|
|
f = open('csv/upcoming_games.json')
|
|
elif time == 'livescore':
|
|
f = open('csv/live_games.json')
|
|
|
|
|
|
try:
|
|
all_settings = json.load(f)
|
|
f.close()
|
|
|
|
if time == 'livescore':
|
|
try:
|
|
leagues_info = {}
|
|
for league in all_settings['leagues']:
|
|
events = []
|
|
if league == 'NFL':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_nfl.py"], shell=False)
|
|
nfl = subprocess.Popen(["python3", "live_nfl.py"], shell=False)
|
|
events.append('Filled')
|
|
leagues_info[league.upper()] = events
|
|
if league == 'NBA':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_nba.py"], shell=False)
|
|
nba = subprocess.Popen(["python3", "live_nba.py"], shell=False)
|
|
events.append('Filled')
|
|
leagues_info[league.upper()] = events
|
|
if league == 'NHL':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_nhl.py"], shell=False)
|
|
nhl = subprocess.Popen(["python3", "live_nhl.py"], shell=False)
|
|
events.append('Filled')
|
|
leagues_info[league.upper()] = events
|
|
if league == 'MLB':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_mlb.py"], shell=False)
|
|
mlb = subprocess.Popen(["python3", "live_mlb.py"], shell=False)
|
|
events.append('Filled')
|
|
leagues_info[league.upper()] = events
|
|
if league == 'PREMIERLEAGUE':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_pl.py"], shell=False)
|
|
premierleague = subprocess.Popen(["python3", "live_pl.py"], shell=False)
|
|
events.append('Filled')
|
|
leagues_info[league.upper()] = events
|
|
if league == 'MLS':
|
|
subprocess.run(["sudo", "pkill", "-f", "live_mls.py"], shell=False)
|
|
mls = subprocess.Popen(["python3", "live_mls.py"], shell=False)
|
|
events.append('Filled')
|
|
leagues_info[league.upper()] = events
|
|
|
|
all_settings['leagues'] = leagues_info
|
|
|
|
f = open( "csv/live_games.json", 'w+' )
|
|
json.dump(all_settings, f)
|
|
f.close()
|
|
except:
|
|
pass
|
|
|
|
else:
|
|
|
|
leagues = all_settings['leagues'].keys()
|
|
leagues_info = {}
|
|
|
|
for league in leagues:
|
|
|
|
if league == 'PREMIERLEAGUE':
|
|
url += 'PREMIERLEAGUE,'
|
|
else:
|
|
url += league + ','
|
|
url = url[:-1] # remove last comma
|
|
url += '&apiKey=' + api_key
|
|
|
|
r = requests.get(url)
|
|
|
|
all_data = r.json()
|
|
|
|
for league in all_data.keys():
|
|
ten_or_fifteen = slice(None)
|
|
events = []
|
|
if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU') or (league == 'LIV') or (league == 'F1') or (league == 'NASCAR'):
|
|
ten_or_fifteen = slice(3)
|
|
else:
|
|
ten_or_fifteen = slice(None)
|
|
for d in all_data[league][ten_or_fifteen]:
|
|
event = {}
|
|
event['date'] = d['dateEvent']
|
|
|
|
if time == 'live':
|
|
event['progess'] = d['strProgress']
|
|
event['status'] = d['strStatus']
|
|
else:
|
|
if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU') or (league == 'LIV') or (league == 'F1') or (league == 'NASCAR'):
|
|
event['date'] = d['dateEvent']
|
|
event['event'] = d['strEvent'].replace("\u2019","'")
|
|
event['venue'] = d['strVenue'].replace("\u2019","'")
|
|
event['city'] = d['strCity'].replace("\u2019","'")
|
|
event['country'] = d['strCountry']
|
|
event['season'] = d['strSeason']
|
|
else:
|
|
event['round'] = d['intRound']
|
|
event['time'] = d['strTime']
|
|
event['home_team'] = d['strHomeTeam']
|
|
event['away_team'] = d['strAwayTeam']
|
|
|
|
if time != 'upcoming':
|
|
if (league == 'PGA') or (league == 'LPGA') or (league == 'PGA_EU'):
|
|
event['golf_standings'] = d['strResult']
|
|
|
|
rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5',
|
|
'T6', 'T7', 'T8', 'T9', 'T10']
|
|
|
|
def convert(string):
|
|
string = repr(string).replace('/', '')
|
|
li = list(string.split('\\'))
|
|
return li
|
|
|
|
str3 = convert(event['golf_standings'])
|
|
|
|
players = []
|
|
|
|
|
|
for each in str3:
|
|
each = each.replace('nT', 'T', 1)
|
|
if each[:2] in rank:
|
|
try:
|
|
first_space = each.find(' ', 1)
|
|
second_space = each.find(' ', 4)
|
|
first_name = each[first_space:second_space].lstrip()
|
|
initial = first_name[0] + '.'
|
|
each = each.replace(first_name,initial)
|
|
except:
|
|
pass
|
|
interator = each.find('-')
|
|
if interator < 0:
|
|
interator = 0
|
|
interator2 = each[interator:interator + 3]
|
|
result = each.split(interator2, 1)[0] + interator2
|
|
players.append(result.rstrip())
|
|
|
|
event['golf_standings'] = players
|
|
|
|
|
|
elif (league == 'LIV'):
|
|
event['golf_standings'] = d['strResult']
|
|
|
|
rank = ['n1', 'n2', 'n3', 'n4', 'n5', 'n6', 'n7', 'n8', 'n9', 'n10', 'T1', 'T2', 'T3', 'T4', 'T5',
|
|
'T6', 'T7', 'T8', 'T9', 'T10']
|
|
|
|
def convert(string):
|
|
string = repr(string).replace('/', '')
|
|
li = list(string.split('\\'))
|
|
return li
|
|
|
|
try:
|
|
str3 = convert(event['golf_standings'].split('--------------------------------------')[0])
|
|
strTeams = convert(event['golf_standings'].split('--------------------------------------')[1])
|
|
except:
|
|
pass
|
|
|
|
players = []
|
|
teams = []
|
|
|
|
try:
|
|
for each in str3:
|
|
each = each.replace('nT', 'T', 1)
|
|
if each[:2] in rank:
|
|
try:
|
|
first_space = each.find(' ', 1)
|
|
second_space = each.find(' ', 4)
|
|
first_name = each[first_space:second_space].lstrip()
|
|
initial = first_name[0] + '.'
|
|
each = each.replace(first_name,initial)
|
|
except:
|
|
pass
|
|
interator = each.find('-')
|
|
if interator < 0:
|
|
interator = 0
|
|
interator2 = each[interator:interator + 3]
|
|
result = each.split(interator2, 1)[0] + interator2
|
|
players.append(result.rstrip())
|
|
|
|
for each in strTeams:
|
|
each = each.replace('nT', 'T', 1)
|
|
if each[:2] in rank:
|
|
each = each.split('GC')
|
|
score = each[1].rfind(' ')
|
|
score2 = each[1][score:score+4]
|
|
each2 = each[0] + score2
|
|
teams.append(each2)
|
|
except:
|
|
pass
|
|
|
|
event['golf_standings'] = [players] + [teams]
|
|
|
|
else:
|
|
event['away_score'] = d['intAwayScore']
|
|
event['home_score'] = d['intHomeScore']
|
|
|
|
events.append(event)
|
|
leagues_info[league.upper()] = events
|
|
all_settings['leagues'] = leagues_info
|
|
|
|
f = open( "csv/{}_games.json".format(time), 'w+' )
|
|
json.dump(all_settings, f)
|
|
f.close()
|
|
except:
|
|
pass
|
|
|
|
|
|
|
|
def updateSports(api_key, logf):
|
|
#read user settings to decide which sprots to update
|
|
|
|
updateLeagueTables(api_key, logf)
|
|
|
|
updateLeagueEvents(api_key,'livescore', logf)
|
|
updateLeagueEvents(api_key,'past', logf)
|
|
updateLeagueEvents(api_key,'upcoming', logf)
|
|
|
|
|
|
|
|
|
|
def checkStocks(last_update, update_frequency):
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
|
|
closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None)
|
|
|
|
|
|
f = open('csv/stocks_settings.json', 'r')
|
|
all_stocks_settings = json.load(f)
|
|
f.close()
|
|
stock_info = all_stocks_settings['symbols']
|
|
symbols = list(stock_info.keys())
|
|
|
|
updated = False
|
|
|
|
diff = (NY_time - last_update).total_seconds()/60 #minutes
|
|
if opening < NY_time < closing and datetime.today().weekday() < 5: # we need to do real time updating
|
|
|
|
|
|
if diff >= update_frequency:
|
|
updated = True
|
|
|
|
|
|
|
|
elif emptyInfo(symbols, stock_info): # if theres any empty stocks
|
|
updated = True
|
|
|
|
|
|
|
|
else:
|
|
# update if last update was before the previous days closing
|
|
yday_closing = closing - dt.timedelta(days=1)
|
|
yday_str = yday_closing.strftime("%d/%m/%Y %H:%M:%S")
|
|
yday_closing = datetime.strptime(yday_str, "%d/%m/%Y %H:%M:%S")
|
|
|
|
if last_update < yday_closing:
|
|
updated = True
|
|
|
|
|
|
return updated
|
|
|
|
|
|
def updateAll(api_key, weather_key, logf):
|
|
updateStocks(api_key, logf)
|
|
|
|
updateCrypto(api_key, logf)
|
|
|
|
updateForex(api_key, logf)
|
|
|
|
updateNews(api_key, logf)
|
|
|
|
updateSports(api_key, logf)
|
|
|
|
if weather_key:
|
|
updateWeather(weather_key, logf)
|
|
|
|
|
|
past_espn_time = True
|
|
past_pl_time = True
|
|
|
|
|
|
if __name__ == '__main__':
|
|
logf = open("log.txt", "a")
|
|
|
|
t = time.time()
|
|
|
|
|
|
|
|
|
|
|
|
update_frequencies = {'stocks':2, 'crypto':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440, 'ipo': 1440} #minutes
|
|
|
|
NY_zone = pytz.timezone('America/New_York')
|
|
CET_zone = pytz.timezone('EST')
|
|
|
|
NY_time = datetime.now(NY_zone)
|
|
|
|
CET_time = datetime.now(CET_zone)
|
|
|
|
NY_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
CET_str = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
|
|
#f = open('csv/last_updates.json', 'w+')
|
|
#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
|
|
#json.dump(update_times, f)
|
|
#f.close()
|
|
|
|
f = open('api_keys.txt')
|
|
|
|
api_keys = f.readlines()
|
|
api_key = api_keys[0].strip()
|
|
|
|
|
|
try:
|
|
weather_key = api_keys[1].strip()
|
|
except Exception as e:
|
|
weather_key = False
|
|
logf = open('log.txt', "a")
|
|
exc_type, exc_obj, exc_tb = sys.exc_info()
|
|
fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
|
|
logf.write(str(e))
|
|
logf.write('. file: ' + fname)
|
|
logf.write('. line: ' + str(exc_tb.tb_lineno))
|
|
logf.write('. type: ' + str(exc_type))
|
|
logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
|
|
logf.close()
|
|
|
|
try:
|
|
movie_key = open('movie_api_key.txt').readlines()[0]
|
|
except Exception as e:
|
|
movie_key = False
|
|
|
|
try:
|
|
ipo_key = open('ipo_api_key.txt').readlines()[0]
|
|
except Exception as e:
|
|
ipo_key = False
|
|
|
|
t = time.time()
|
|
update_processes = []
|
|
|
|
# try:
|
|
# time.sleep(60)
|
|
# f = open('csv/last_updates.json', 'r')
|
|
# last_updates = json.load(f)
|
|
# f.close()
|
|
# last_updates['stocks']['force'] = True
|
|
# #last_updates['weather']['force'] = True
|
|
# f = open('csv/last_updates.json', 'w')
|
|
# json.dump(last_updates, f)
|
|
# f.close()
|
|
# except:
|
|
# pass
|
|
|
|
|
|
|
|
try:
|
|
while True:
|
|
|
|
try:
|
|
f = open('csv/last_updates.json', 'r')
|
|
last_updates = json.load(f)
|
|
f.close()
|
|
|
|
except:
|
|
last_updates = {"stocks": {"time": "06/03/2022 04:12:09", "force": True}, "crypto": {"time": "06/03/2022 04:10:39", "force": True},
|
|
"news": {"time": "06/03/2022 04:07:09", "force": True}, "weather": {"time": "06/03/2022 04:08:20", "force": True},
|
|
"forex": {"time": "06/03/2022 03:54:02", "force": True}, "sports_l": {"time": "06/03/2022 04:10:09", "force": True},
|
|
"sports_p": {"time": "06/03/2022 04:10:09", "force": True},
|
|
"sports_u": {"time": "06/03/2022 04:10:09", "force": True},"sports_t": {"time": "06/03/2022 04:10:09", "force": True}, "commodities": {"time": "06/03/2022 04:10:09", "force": True}, "indices": {"time": "06/03/2022 04:10:09", "force": True}, "movies": {"time": "06/03/2022 04:10:09", "force": True}, "ipo": {"time": "06/03/2022 04:10:09", "force": True}, "prepost": {"time": "06/03/2022 04:10:09", "force": True}}
|
|
|
|
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
|
|
#msg = getInput()
|
|
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
#stocks
|
|
|
|
stock_time = datetime.strptime(last_updates['stocks']['time'], "%d/%m/%Y %H:%M:%S")
|
|
stock_frequency = update_frequencies['stocks']
|
|
diff = (NY_time - stock_time).total_seconds()/60 #minutes
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
|
|
closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None)
|
|
stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4
|
|
|
|
if last_updates['stocks']['force'] or (diff >= update_frequencies['stocks'] and stock_open):# or msg == 's':
|
|
stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['stocks']['time'] = stock_time
|
|
last_updates['stocks']['force'] = False
|
|
#updateStocks(api_key)
|
|
update_process = Process(target = updateStocks, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# crypto
|
|
crypto_time = datetime.strptime(last_updates['crypto']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - crypto_time).total_seconds()/60 #minutes
|
|
|
|
|
|
if last_updates['crypto']['force'] or diff >= update_frequencies['crypto']:# or msg == 'c':
|
|
crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
#updateCrypto(api_key, logf)
|
|
|
|
|
|
last_updates['crypto']['time'] = crypto_time
|
|
last_updates['crypto']['force'] = False
|
|
update_process = Process(target = updateCrypto, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# commodities
|
|
commodities_time = datetime.strptime(last_updates['commodities']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - commodities_time).total_seconds()/60 #minutes
|
|
|
|
|
|
if last_updates['commodities']['force'] or diff >= update_frequencies['commodities']:# or msg == 'c':
|
|
commodities_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
#updateCrypto(api_key, logf)
|
|
|
|
|
|
last_updates['commodities']['time'] = commodities_time
|
|
last_updates['commodities']['force'] = False
|
|
update_process = Process(target = updateCommodities, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# indices
|
|
indices_time = datetime.strptime(last_updates['indices']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - indices_time).total_seconds()/60 #minutes
|
|
|
|
|
|
if last_updates['indices']['force'] or diff >= update_frequencies['indices']:# or msg == 'c':
|
|
indices_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
|
|
last_updates['indices']['time'] = indices_time
|
|
last_updates['indices']['force'] = False
|
|
update_process = Process(target = updateIndices, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# movies
|
|
movies_time = datetime.strptime(last_updates['movies']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - movies_time).total_seconds()/60 #minutes
|
|
|
|
|
|
if last_updates['movies']['force'] or diff >= update_frequencies['movies']:
|
|
movies_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['movies']['time'] = movies_time
|
|
last_updates['movies']['force'] = False
|
|
update_process = Process(target = updateMovies, args = (movie_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
|
|
# ipos
|
|
ipo_time = datetime.strptime(last_updates['ipo']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - ipo_time).total_seconds()/60 #minutes
|
|
|
|
|
|
if last_updates['ipo']['force'] or diff >= update_frequencies['ipo']:
|
|
ipo_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['ipo']['time'] = ipo_time
|
|
last_updates['ipo']['force'] = False
|
|
update_process = Process(target = updateIpo, args = (ipo_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
|
|
# weather
|
|
weather_time = datetime.strptime(last_updates['weather']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - weather_time).total_seconds()/60 #minutes
|
|
if last_updates['weather']['force'] or diff >= update_frequencies['weather']:# or msg == 'w':
|
|
weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
|
|
#updateWeather(weather_key)
|
|
last_updates['weather']['time'] = weather_time
|
|
last_updates['weather']['force'] = False
|
|
update_process = Process(target = updateWeather, args = (weather_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
|
|
# news
|
|
news_time = datetime.strptime(last_updates['news']['time'], "%d/%m/%Y %H:%M:%S")
|
|
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - news_time).total_seconds()/60 #minutes
|
|
if last_updates['news']['force'] or diff >= update_frequencies['news']:# or msg == 'n':
|
|
news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
#updateNews(api_key)
|
|
last_updates['news']['time'] = news_time
|
|
last_updates['news']['force'] = False
|
|
update_process = Process(target = updateNews, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
# sports upcoming
|
|
sports_time = datetime.strptime(last_updates['sports_u']['time'], "%d/%m/%Y %H:%M:%S")
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - sports_time).total_seconds()/60 #minutes
|
|
if last_updates['sports_u']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
|
|
sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
#updateSports(api_key)
|
|
last_updates['sports_u']['time'] = sports_time
|
|
last_updates['sports_u']['force'] = False
|
|
update_process = Process(target = updateLeagueEvents, args = (api_key,'upcoming',logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# sports live
|
|
sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S")
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
espn_time = "17:00Z"
|
|
espn_time_est = "12:00"
|
|
# if datetime.now(pytz.utc).strftime("%H:%MZ") < espn_time:
|
|
if datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") < espn_time_est:
|
|
past_espn_time = True
|
|
if last_updates['sports_l']['force'] or (datetime.now(pytz.timezone('America/New_York')).strftime("%H:%M") >= espn_time_est and past_espn_time):# or msg == 'S':
|
|
# if last_updates['sports_l']['force'] or (datetime.now(pytz.utc).strftime("%H:%MZ") >= espn_time and past_espn_time):# or msg == 'S':
|
|
sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['sports_l']['time'] = sports_time
|
|
last_updates['sports_l']['force'] = False
|
|
past_espn_time = False
|
|
update_process = Process(target = updateLeagueEvents, args = (api_key, 'livescore',logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
#sports live (premier league)
|
|
pl_time = "12:00Z"
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
sports_time = datetime.strptime(last_updates['sports_l']['time'], "%d/%m/%Y %H:%M:%S")
|
|
if datetime.now(pytz.utc).strftime("%H:%MZ") < pl_time:
|
|
past_pl_time = True
|
|
if datetime.now(pytz.utc).strftime("%H:%MZ") >= pl_time and past_pl_time:# or msg == 'S':
|
|
sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
past_pl_time = False
|
|
last_updates['sports_l']['time'] = sports_time
|
|
last_updates['sports_l']['force'] = False
|
|
update_process = Process(target = updatePLtime)
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# sports past
|
|
sports_time = datetime.strptime(last_updates['sports_p']['time'], "%d/%m/%Y %H:%M:%S")
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - sports_time).total_seconds()/60 #minutes
|
|
if last_updates['sports_p']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
|
|
sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
#updateSports(api_key)
|
|
last_updates['sports_p']['time'] = sports_time
|
|
last_updates['sports_p']['force'] = False
|
|
update_process = Process(target = updateLeagueEvents, args = (api_key,'past',logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
# sports table
|
|
sports_time = datetime.strptime(last_updates['sports_t']['time'], "%d/%m/%Y %H:%M:%S")
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
diff = (NY_time - sports_time).total_seconds()/60 #minutes
|
|
if last_updates['sports_t']['force'] or diff >= update_frequencies['sports']:# or msg == 'S':
|
|
sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
#updateSports(api_key)
|
|
last_updates['sports_t']['time'] = sports_time
|
|
last_updates['sports_t']['force'] = False
|
|
update_process = Process(target = updateLeagueTables, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
|
|
|
|
#forex updates once every 24hours at 1700 CET
|
|
|
|
# update if last update was before the previous days closing
|
|
forex_time = datetime.strptime(last_updates['forex']['time'], "%d/%m/%Y %H:%M:%S")
|
|
CET_time = datetime.now(CET_zone).replace(tzinfo=None)
|
|
yday_update = (CET_time.replace(hour=17, minute=00, second=0, microsecond=0) - dt.timedelta(days=1)).replace(tzinfo=None)
|
|
diff = (CET_time.replace(tzinfo=None) - forex_time).total_seconds()/60
|
|
|
|
opening = CET_time.replace(hour=17, minute=0, second=0, microsecond=0).replace(tzinfo=None)
|
|
|
|
#forex updates between 5pm sunday and 5pm friday every hour
|
|
forex_open = datetime.today().weekday() < 4 or (datetime.today().weekday() == 6 and CET_time > opening) or (datetime.today().weekday() == 4 and CET_time < opening)
|
|
|
|
if last_updates['forex']['force'] or (diff >= update_frequencies['forex'] and forex_open):# or msg == 'f':
|
|
forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['forex']['time'] = forex_time
|
|
last_updates['forex']['force'] = False
|
|
#updateForex(api_key)
|
|
update_process = Process(target = updateForex, args = (api_key,logf))
|
|
update_process.start()
|
|
update_processes.append(update_process)
|
|
|
|
f = open('csv/last_updates.json', 'w+')
|
|
json.dump(last_updates, f)
|
|
f.close()
|
|
for process in update_processes:
|
|
if not process.is_alive():
|
|
process.join()
|
|
process.terminate()
|
|
update_processes.remove(process)
|
|
|
|
time.sleep(10)
|
|
|
|
|
|
except:
|
|
pass
|
|
|
|
|
|
# logf = open('log.txt', "a")
|
|
# exc_type, exc_obj, exc_tb = sys.exc_info()
|
|
# fname = os.path.split(exc_tb.tb_frame.f_code.co_filename)[1]
|
|
# logf.write(str(e))
|
|
# logf.write('. file: ' + fname)
|
|
# logf.write('. line: ' + str(exc_tb.tb_lineno))
|
|
# logf.write('. type: ' + str(exc_type))
|
|
# logf.write('\n ' + "".join(traceback.format_exception(sys.exc_info()[0], sys.exc_info()[1], sys.exc_info()[2])))
|
|
# logf.close()
|
|
|
|
|
|
|
|
|
|
|