788 lines
29 KiB
Python
Executable File
788 lines
29 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 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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import traceback
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from geopy import geocoders
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from multiprocessing import Process
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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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print('STOCKS')
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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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#print(symbols)
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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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#print(response)
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#print(dir(response))
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#print(len(data))
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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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json.dump(all_stocks_settings, open('csv/stocks_settings.json', 'w+'))
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except Exception as e:
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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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def updateCrypto(api_key, logf):
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print('CRYPTO')
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#cypto_info['symbol, base'].keys() = ['current','24hr change']
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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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#print(url)
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response = requests.get(url)
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data = response.json()
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#print(url)
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#print(data)
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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 Exception as e:
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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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def updateForex(api_key, logf):
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print('FOREX')
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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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response = requests.get(url)
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data = response.json()
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if len(data) > 0:
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#print(data)
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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:
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c_dict[d['uid'].replace('/',',')] = {'current': d['rate'], '24hr_change': d['rate_over_24hr'], 'percent_change':d['percent_over_24hr']}
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all_forex_settings['symbols'] = c_dict
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json.dump(all_forex_settings, open( "csv/forex_settings.json", 'w+' ))
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except Exception as e:
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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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def updateNews(api_key, logf):
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#'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?category=technology'
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#'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country=GB'
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#'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?lang=en'
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print('NEWS')
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try:
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all_settings = json.load(open('csv/news_settings.json', 'r'))
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if all_settings['use_country']:
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if all_settings['country'] == 'Worldwide':
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news_worldwide'
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else:
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c_dict = {'United States':'US', 'Australia':'AU', 'Canada': 'CA', 'Great Britain':'GB', 'New Zealand':'NZ', 'Ireland':'IE', 'Singapore':'SG', 'South Africa': 'ZA'}
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cc = c_dict[all_settings['country']]
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?country={}'.format(cc)
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elif all_settings['use_category']:
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/news?category={}'.format(all_settings['category'])
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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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#print(data)
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if len(data) > 0:
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max_headlines = int(all_settings['num_headlines'])
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#load user settings
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headlines = data[:max_headlines]
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headline_sources = [headline['source'] for headline in headlines]
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headline_titles = [headline['title'] for headline in headlines]
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headline_times = [headline['publishedAt'] for headline in headlines]
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headlines = list(zip(headline_titles, headline_sources, headline_times))
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#print(headlines)
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all_settings['headlines'] = headlines
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json.dump(all_settings, open('csv/news_settings.json', 'w+'))
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except Exception as e:
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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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def updateWeather(api_key, logf):
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print('WEATHER')
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max_cities = 30
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try:
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gn = geocoders.GeoNames(username='fintic')
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f = open('csv/daily_weather.json', 'r')
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all_daily_settings = json.load(f)
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f.close()
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f = open('csv/current_weather.json', 'r')
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all_current_settings = json.load(f)
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f.close()
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current_locations = list(all_current_settings['locations'].keys())
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daily_locations = list(all_daily_settings['locations'].keys())
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all_locations = list(set(current_locations + daily_locations))
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current_weathers = {}
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daily_weathers = {}
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for location in all_locations:
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loc = gn.geocode(location)
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current_weather = {}
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lat = loc.latitude
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lon = loc.longitude
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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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weather = r.json()['current']
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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['temp']
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current_weather['min_temp'] = r.json()['daily'][0]['temp']['min']
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current_weather['max_temp'] = r.json()['daily'][0]['temp']['max']
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current_weather['feels_like'] = weather['feels_like']
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current_weather['humidity'] = weather['humidity']
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current_weather['clouds'] = weather['clouds']
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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'] = weather['uvi']
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current_weather['rain_chance'] = r.json()['hourly'][0]['pop']
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if location in current_locations:
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current_weathers[location] = current_weather
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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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#add relevant urrent information to first day in daily
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daily_weather[0]['temp'] = weather['temp']
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daily_weather[0]['rain_chance'] = current_weather['rain_chance']
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daily_weather[0]['humidity'] = current_weather['humidity']
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daily_weather[0]['wind_speed'] = current_weather['wind_speed']
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daily_weather[0]['uv'] = current_weather['uv']
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daily_weather[0]['clouds'] = current_weather['clouds']
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daily_weather[0]['wind_speed'] = current_weather['wind_speed']
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daily_weather[0]['wind_direction'] = current_weather['wind_direction']
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daily_weather[0]['visibility'] = current_weather['visibility']
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if location in daily_locations:
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daily_weathers[location] = daily_weather
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all_current_settings['locations'] = current_weathers
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all_daily_settings['locations'] = daily_weathers
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#print(all_current_settings, all_daily_settings)
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json.dump( all_current_settings, open( "csv/current_weather.json", 'w+' ))
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json.dump( all_daily_settings, open( "csv/daily_weather.json", 'w+' ))
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except Exception as e:
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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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def updateLeagueTables(api_key, logf):
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print('LEAGUE TABLES')
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?stats='
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try:
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f = open('csv/league_tables.json', 'r')
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all_settings = json.load(f)
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#print(all_settings['leagues'].keys())
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f.close()
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leagues = all_settings['leagues'].keys()
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leagues_info = {}
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for league in leagues:
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if league == 'PREMIERLEAGUE':
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url += 'PREMIERLEAGUE,'
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else:
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url += league + ','
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url = url[:-1] # remove last comma
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url += '&apiKey=' + api_key
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r = requests.get(url)
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all_data = r.json()
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#print('key', [all_data[i].keys() for i in range(len(all_data))])
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#print('key', all_data.keys())
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for i,l in enumerate(all_data):
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#print(l)
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league = list(l.keys())[0]
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#print('league', league, list(l.keys()))
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teams = []
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for d in all_data[i][league]:
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team = {}
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team['name'] = d['strTeam']
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team['wins'] = d['intWin']
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team['loss'] = d['intLoss']
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team['draw'] = d['intDraw']
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#team['played'] = d['intPlayed']
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team['standing'] = d['intRank']
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#team['points'] = d['intPoints']
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teams.append(team)
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leagues_info[league.upper()] = teams
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all_settings['leagues'] = leagues_info
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#print(all_settings['leagues'].keys())
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json.dump(all_settings, open( "csv/league_tables.json".format(league), 'w+' ))
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except Exception as e:
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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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def updateLeagueEvents(api_key, time, logf):
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print('LEAGUE EVENTS')
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url = 'https://bm7p954xoh.execute-api.us-east-2.amazonaws.com/default/ScriptsAPI/sports?{}='.format(time)
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if time == 'past':
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f = open('csv/past_games.json')
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elif time == 'upcoming':
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f = open('csv/upcoming_games.json')
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elif time == 'livescore':
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f = open('csv/live_games.json')
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try:
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all_settings = json.load(f)
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#print(all_settings['leagues'].keys())
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f.close()
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leagues = all_settings['leagues'].keys()
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leagues_info = {}
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for league in leagues:
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if league == 'PREMIERLEAGUE':
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url += 'PREMIERLEAGUE,'
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else:
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url += league + ','
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url = url[:-1] # remove last comma
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url += '&apiKey=' + api_key
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r = requests.get(url)
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all_data = r.json()
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#print(all_data)
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for league in all_data.keys():
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events = []
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for d in all_data[league]:
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event = {}
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event['date'] = d['dateEvent']
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if time == 'live':
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event['progess'] = d['strProgress']
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event['status'] = d['strStatus']
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else:
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event['round'] = d['intRound']
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event['time'] = d['strTime']
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event['home_team'] = d['strHomeTeam']
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event['away_team'] = d['strAwayTeam']
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if time != 'upcoming':
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|
event['away_score'] = d['intAwayScore']
|
|
event['home_score'] = d['intHomeScore']
|
|
|
|
events.append(event)
|
|
leagues_info[league.upper()] = events
|
|
all_settings['leagues'] = leagues_info
|
|
#print(all_settings['leagues'].keys())
|
|
|
|
json.dump(all_settings, open( "csv/{}_games.json".format(time), 'w+' ))
|
|
except Exception as e:
|
|
|
|
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])))
|
|
|
|
|
|
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=0, 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)
|
|
|
|
|
|
if __name__ == '__main__':
|
|
logf = open("log.txt", "a")
|
|
|
|
t = time.time()
|
|
|
|
|
|
|
|
|
|
|
|
update_frequencies = {'stocks':1, 'crypto':5, 'forex':60, 'news':120, 'weather': 120, 'sports': 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
|
|
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])))
|
|
|
|
|
|
|
|
|
|
t = time.time()
|
|
update_processes = []
|
|
|
|
|
|
|
|
|
|
|
|
try:
|
|
while True:
|
|
|
|
try:
|
|
f = open('csv/last_updates.json', 'r')
|
|
last_updates = json.load(f)
|
|
f.close()
|
|
|
|
except:
|
|
last_updates = {"stocks": {True, "27/06/2021 07:05:39"}, "crypto": {True, "27/06/2021 07:05:39"}, "news": {True, "27/06/2021 07:05:39"}, "weather": {True, "27/06/2021 07:05:39"},"forex": {True, "27/06/2021 07:05:39"}, "sports": {True, "27/06/2021 07:05:39"}}
|
|
|
|
|
|
|
|
|
|
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=0, 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)
|
|
|
|
|
|
# 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
|
|
sports_time = datetime.strptime(last_updates['sports']['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']['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']['time'] = sports_time
|
|
last_updates['sports']['force'] = False
|
|
update_process = Process(target = updateSports, 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)
|
|
print('Number active database caller processes', len(update_processes))
|
|
time.sleep(10)
|
|
|
|
|
|
except Exception as e:
|
|
|
|
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])))
|
|
|
|
|
|
|
|
|