714 lines
26 KiB
Python
714 lines
26 KiB
Python
# 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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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 updateStocksFinhubb():
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max_stocks = 200
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finnhubsandboxAPIkey = "sandbox_c24qddqad3ickpckgg8g" #Finnhub
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finnhubAPIkey = "c24qddqad3ickpckgg80" #Finnhub
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finnhubClient = finnhub.Client(api_key=finnhubAPIkey)
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symbols, stock_info = readJSON('csv/tickers.csv', max_stocks)
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try:
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quotes = [finnhubClient.quote(symbol) for symbol in symbols]
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current_prices = [quote['c'] for quote in quotes]
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opening_prices = [quote['o'] for quote in quotes]
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CSV = open('csv/tickers.csv', 'w+')
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CSV.write('name,current,opening\n')
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for i, symbol in enumerate(symbols):
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CSV.write(symbol + ',' + str(current_prices[i]) + ',' + str(opening_prices[i]) + '\n')
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CSV.close()
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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 updateStocks():
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iexAPIkey = 'pk_d066d39789bd41caac209bca850a35db' #IEX
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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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try:
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current_prices = []
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opening_prices = []
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for symbol in symbols:
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method = 'GET'
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host = 'https://cloud.iexapis.com/stable'
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intradayEndpoint = '/stock/'+ symbol+ '/intraday-prices'
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querystring = '?chartIEXOnly=true&token='+iexAPIkey
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intraday_request_url = host + intradayEndpoint + querystring
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intraday_response = requests.get(intraday_request_url)
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for i in range(len(intraday_response.json())):
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opn = intraday_response.json()[i]['open']
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if opn is not None:
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break
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for i in range(len(intraday_response.json())-1, 0, -1):
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current = intraday_response.json()[i]['close']
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if current is not None:
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break
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opening_prices.append(opn)
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current_prices.append(current)
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stock_info = {}
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for i, symbol in enumerate(symbols):
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stock_info[symbol] = {'current': current_prices[i], 'opening': opening_prices[i]}
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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():
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coingecko_client = CoinGeckoAPI()
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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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coins = []
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# coingecko rate limited me from calling this too often
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#coin_list = coingecko_client.get_coins_list()
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#json.dump(coin_list, open('csv/coin_list.json', 'w+'))
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f = open('csv/coin_list.json', 'r')
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coin_list = json.load(f)
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f.close()
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# this might be super slow as coin_list is large
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for s in symbols:
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for c in coin_list:
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if c['symbol'].upper() == s and c['id'] != 'binance-peg-cardano': # hackaround for two coins with symbol ada:
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coins.append(c['id'])
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crypto_info = {}
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print(coins)
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#cypto_info['symbol, base'].keys() = ['current','24hr change']
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try:
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response = coingecko_client.get_price(ids=','.join(coins), vs_currencies = unique_bases, include_24hr_change=True)
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#print(response)
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for i,sb in enumerate(symbol_base):
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#coin_info[name] = [symbol, base]
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#info = coin_info[coin]
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#CSV.write(info[0] + ',' + coin + ',' + info[1] + ',' +str(response[coin][info[1]]) + ',' + str(response[coin]['usd_24h_change']) + '\n')
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crypto_info[sb] = {'current':response[coins[i]][bases[i].lower()], '24hr_change':response[coins[i]]['usd_24h_change']}
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all_crypto_settings['symbols'] = crypto_info
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json.dump(all_crypto_settings, open('csv/crypto_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 updateForex():
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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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all_responses = []
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# get timeseries from two days ago until today in case it hasnt updated for today yet
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yesterday = datetime.now() - timedelta(1)
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yesteryesterday = datetime.now() - timedelta(2)
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str_tod = datetime.strftime(datetime.now(), '%Y-%m-%d')
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str_yest = datetime.strftime(yesterday, '%Y-%m-%d')
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str_yestyest = datetime.strftime(yesteryesterday, '%Y-%m-%d')
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try:
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for base in unique_bases:
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url = 'https://api.frankfurter.app/{}..{}?from={}'.format(str_yestyest, str_tod, base)
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r = requests.get(url)
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all_data = r.json()
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all_responses.append(all_data)
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c_dict = {}
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for i,curr in enumerate(symbols):
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for response in all_responses:
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if response['base'] == bases[i]:
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print(response['rates'])
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try:
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current = response['rates'][str_tod][curr]
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yesterday = response['rates'][str_yest][curr]
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except KeyError:
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# if it hasnt been updated for today yet use yesterdays price
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current = response['rates'][str_yest][curr]
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yesterday = response['rates'][str_yestyest][curr]
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change = current - yesterday
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c_dict[symbol_base[i]] = {'current':current, '24hr_change':change}
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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():
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max_per_cat = 10
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try:
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all_settings = json.load(open('csv/news_settings.json', 'r'))
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try:
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#load user settings
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headlines = []
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if all_settings['use_sources']:
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arg_dict ={'sources':str(all_settings['sources'])}
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else:
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arg_dict = {'country': all_settings['country'], 'category':all_settings['category']}
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h = newsapi.get_top_headlines(**arg_dict)
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if len(h) > max_per_cat:
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h = h[0:max_per_cat]
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headlines.append(h)
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except Exception as e:
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print('news ettings not used', e)
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#if no settings just get top headlines
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headlines = newsapi.get_top_headlines()
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headline_titles = [headline['title'] for headline in headlines['articles']]
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headline_sources = [headline['source']['name'] for headline in headlines['articles']]
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headline_times = [headline['publishedAt']for headline in headlines['articles']]
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headlines = list(zip(headline_titles, headline_sources, headline_times))
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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():
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max_cities = 30
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api_key = 'a9476947fa1a2f712076453bec4a0df5'
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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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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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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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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, league_ids):
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f = open('csv/league_tables.json', 'r')
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all_settings = json.load(f)
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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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try:
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for league in leagues:
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league_id = league_ids[league]
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url = 'https://www.thesportsdb.com/api/v1/json/{}/lookuptable.php?l={}&s=2020-2021'.format(api_key, league_id)
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r = requests.get(url)
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try:
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all_data = r.json()
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except: # there is no data available
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continue
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teams = []
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for i in range(len(all_data['table'])):
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team = {}
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team['name'] = all_data['table'][i]['strTeam']
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team['wins'] = all_data['table'][i]['intWin']
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team['loss'] = all_data['table'][i]['intLoss']
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team['draw'] = all_data['table'][i]['intDraw']
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team['played'] = all_data['table'][i]['intPlayed']
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team['standing'] = all_data['table'][i]['intRank']
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team['points'] = all_data['table'][i]['intPoints']
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teams.append(team)
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leagues_info[league] = teams
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all_settings['leagues'] = leagues_info
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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, league_ids, time):
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if time == 'past':
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url ='https://www.thesportsdb.com/api/v1/json/{}/eventspastleague.php?id={}' #last 15 events on the league (premium only)
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f = open('csv/past_games.json')
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elif time == 'upcoming':
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url ='https://www.thesportsdb.com/api/v1/json/{}/eventsnextleague.php?id={}' #next 15 events on the league (premium only)
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f = open('csv/upcoming_games.json')
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elif time == 'live':
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f = open('csv/live_games.json')
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url = 'https://thesportsdb.com/api/v2/json/{}/livescore.php?l={}'
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all_settings = json.load(f)
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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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try:
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for league in leagues:
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league_id = league_ids[league]
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url = url.format(api_key, league_id)
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r = requests.get(url)
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try:
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all_data = r.json()
|
|
except: # there is no data available
|
|
continue
|
|
|
|
|
|
events = []
|
|
|
|
if not all_data['events'] is None:
|
|
|
|
for i in range(len(all_data['events'])):
|
|
event = {}
|
|
event['date'] = all_data['events'][i]['dateEvent']
|
|
|
|
if time == 'live':
|
|
event['time'] = all_data['events'][i]['strEventTime']
|
|
event['progess'] = all_data['events'][i]['strProgress']
|
|
event['status'] = all_data['events'][i]['strStatus']
|
|
else:
|
|
event['time'] = all_data['events'][i]['strTime']
|
|
event['round'] = all_data['events'][i]['intRound']
|
|
event['home_team'] = all_data['events'][i]['strHomeTeam']
|
|
event['home_score'] = all_data['events'][i]['intHomeScore']
|
|
event['away_team'] = all_data['events'][i]['strAwayTeam']
|
|
event['away_score'] = all_data['events'][i]['intAwayScore']
|
|
|
|
events.append(event)
|
|
leagues_info[league] = events
|
|
all_settings['leagues'] = leagues_info
|
|
|
|
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():
|
|
#read user settings to decide which sprots to update
|
|
api_key = '97436974'
|
|
|
|
|
|
|
|
league_ids = {'Premier League':'4328', 'NHL':'4380', 'NBA':'4387', 'NFL':'4391'}
|
|
updateLeagueTables(api_key, league_ids)
|
|
|
|
updateLeagueEvents(api_key, league_ids, 'live')
|
|
updateLeagueEvents(api_key, league_ids, 'past')
|
|
updateLeagueEvents(api_key, league_ids, 'upcoming')
|
|
|
|
|
|
|
|
'https://www.thesportsdb.com/api/v1/json/{}/eventsnext.php?id=133602'.format(api_key) # next five events by team ID (paid) use this for upcoming team games
|
|
|
|
#url = 'https://www.thesportsdb.com/api/v1/json/{}/eventsseason.php?id=4328&s=2020-2021'.format(api_key) # all past events in premier league
|
|
|
|
url = 'https://www.thesportsdb.com/api/v2/json/{}/livescore.php?l=4380'.format(api_key) #live scores
|
|
|
|
|
|
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
|
|
updateStocks()
|
|
|
|
|
|
elif emptyInfo(symbols, stock_info): # if theres any empty stocks
|
|
updated = True
|
|
updateStocks()
|
|
|
|
|
|
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
|
|
updateStocks()
|
|
|
|
return updated
|
|
|
|
|
|
|
|
if __name__ == '__main__':
|
|
logf = open("log.txt", "w")
|
|
|
|
t = time.time()
|
|
|
|
max_stocks = 200
|
|
max_crypto = 100
|
|
|
|
|
|
|
|
newsapi = NewsApiClient(api_key='cf08652bd17647b89aaf469a1a8198a9')
|
|
|
|
|
|
update_frequencies = {'stocks':2, 'crypto':10, 'news':120, 'weather': 120, 'sports': 120} #minutes
|
|
|
|
NY_zone = pytz.timezone('America/New_York')
|
|
CET_zone = pytz.timezone('Europe/Berlin')
|
|
|
|
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()
|
|
|
|
|
|
try:
|
|
f = open('csv/last_updates.json', 'r')
|
|
last_updates = json.load(f)
|
|
f.close()
|
|
|
|
except:
|
|
last_updates = {"stocks": "27/06/2021 07:05:39", "crypto": "27/06/2021 07:05:39", "news": "27/06/2021 07:05:39", "weather": "27/06/2021 07:05:39", "forex": "27/06/2021 07:05:39", "sports": "27/06/2021 07:05:39"}
|
|
|
|
t = time.time()
|
|
|
|
|
|
try:
|
|
while True:
|
|
|
|
NY_time = datetime.now(NY_zone).replace(tzinfo=None)
|
|
|
|
msg = getInput()
|
|
|
|
#stocks
|
|
stock_time = datetime.strptime(last_updates['stocks'], "%d/%m/%Y %H:%M:%S")
|
|
stock_frequency = update_frequencies['stocks']
|
|
if checkStocks(stock_time, stock_frequency):
|
|
stock_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['stocks'] = stock_time
|
|
|
|
# crypto
|
|
crypto_time = datetime.strptime(last_updates['crypto'], "%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 diff >= update_frequencies['crypto']:
|
|
crypto_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
updateCrypto()
|
|
last_updates['crypto'] = crypto_time
|
|
|
|
|
|
# weather
|
|
weather_time = datetime.strptime(last_updates['weather'], "%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 diff >= update_frequencies['weather']:
|
|
weather_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
updateWeather()
|
|
last_updates['weather'] = weather_time
|
|
|
|
|
|
# news
|
|
news_time = datetime.strptime(last_updates['news'], "%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 diff >= update_frequencies['news']:
|
|
news_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
updateNews()
|
|
last_updates['news'] = news_time
|
|
|
|
# sports
|
|
sports_time = datetime.strptime(last_updates['sports'], "%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 diff >= update_frequencies['sports']:
|
|
sports_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
updateSports()
|
|
last_updates['sports'] = sports_time
|
|
|
|
#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'], "%d/%m/%Y %H:%M:%S")
|
|
CET_time = datetime.now(CET_zone)
|
|
yday_update = (CET_time.replace(hour=17, minute=00, second=0, microsecond=0) - dt.timedelta(days=1)).replace(tzinfo=None)
|
|
|
|
if forex_time < yday_update:
|
|
forex_time = CET_time.strftime("%d/%m/%Y %H:%M:%S")
|
|
last_updates['forex'] = forex_time
|
|
updateForex()
|
|
|
|
|
|
json.dump(last_updates, open('csv/last_updates.json', '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])))
|
|
|
|
|
|
|