added market update
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a7ed438f94
commit
98dff26067
@ -32,6 +32,7 @@ try:
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last_updates['stocks']['force'] = True
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last_updates['stocks']['force'] = True
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last_updates['prepost']['force'] = True
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last_updates['prepost']['force'] = True
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last_updates['sports_l']['force'] = True
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last_updates['sports_l']['force'] = True
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last_updates['market']['force'] = True
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f = open('csv/last_updates.json', 'w')
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f = open('csv/last_updates.json', 'w')
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json.dump(last_updates, f)
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json.dump(last_updates, f)
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f.close()
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f.close()
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@ -851,6 +852,71 @@ def updateJokes(api_key, logf):
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pass
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pass
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def updateMarket(api_key, logf):
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try:
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try:
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f = open('csv/market_settings.json', 'r')
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all_market_settings = json.load(f)
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f.close()
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except:
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all_market_settings = {"feature": "Gainers, Losers, Active", "speed": "medium", "speed2": "medium", "animation": "up", "percent": True, "point": True, "logos": True, "chart": False, "title": True, "lohivol": False, "categories": ["Top Gainers", "Top Losers", "Most Active"], "gainers": {}, "losers": {}, "mostactive": {}}
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headers = {'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7',
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36'}
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url = 'https://cloud.iexapis.com/stable/stock/market/overview?token=pk_aff870df1a984daa9dd43c71801c1936&'
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data = requests.get(url, headers=headers).json()
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mostactive = data['mostactive']
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gainers = data['gainers']
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losers = data['losers']
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try:
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for item in losers:
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all_market_settings['losers'][item['symbol']] = {
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"current": str(item['latestPrice']),
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"change": str(item['change']),
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"percent_change": str(item['changePercent']),
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"day_low": str(item['low']),
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"day_high": str(item['high']),
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"volume": human_format(item['volume'])
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}
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except:
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pass
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try:
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for item in gainers:
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all_market_settings['gainers'][item['symbol']] = {
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"current": str(item['latestPrice']),
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"change": str(item['change']),
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"percent_change": str(item['changePercent']),
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"day_low": str(item['low']),
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"day_high": str(item['high']),
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"volume": human_format(item['volume'])
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}
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except:
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pass
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try:
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for item in mostactive:
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all_market_settings['mostactive'][item['symbol']] = {
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"current": str(item['latestPrice']),
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"change": str(item['change']),
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"percent_change": str(item['changePercent']),
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"day_low": str(item['low']),
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"day_high": str(item['high']),
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"volume": human_format(item['volume'])
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}
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except:
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pass
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with open('csv/market_settings.json', 'w+') as f:
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json.dump(all_market_settings, f)
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# all_sector_settings['sectorPerformance'] = data['sectorPerformance']
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# with open('csv/sector_settings.json', 'w+') as f:
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# json.dump(all_sector_settings, f)
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except:
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pass
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def updateNews(api_key, logf):
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def updateNews(api_key, logf):
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try:
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try:
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try:
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try:
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@ -1534,7 +1600,7 @@ if __name__ == '__main__':
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t = time.time()
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t = time.time()
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update_frequencies = {'stocks':2, 'crypto':7, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440, 'ipo': 1440, 'prepost': 15, 'economic': 15, 'jokes': 15} #minutes
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update_frequencies = {'stocks':2, 'crypto':7, 'forex':60, 'news':120, 'weather': 120, 'sports': 1440, 'commodities': 15, 'indices': 15, 'movies': 1440, 'ipo': 1440, 'prepost': 15, 'economic': 15, 'jokes': 15, 'market': 15} #minutes
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NY_zone = pytz.timezone('America/New_York')
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NY_zone = pytz.timezone('America/New_York')
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CET_zone = pytz.timezone('EST')
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CET_zone = pytz.timezone('EST')
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@ -1612,7 +1678,7 @@ if __name__ == '__main__':
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"forex": {"time": "06/03/2022 03:54:02", "force": True}, "sports_l": {"time": "06/03/2022 04:10:09", "force": True},
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"forex": {"time": "06/03/2022 03:54:02", "force": True}, "sports_l": {"time": "06/03/2022 04:10:09", "force": True},
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"sports_p": {"time": "06/03/2022 04:10:09", "force": True},
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"sports_p": {"time": "06/03/2022 04:10:09", "force": True},
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"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},
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"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},
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"prepost": {"time": "06/03/2022 04:10:09", "force": True}, "economic": {"time": "06/03/2022 04:10:09", "force": True}, "jokes": {"time": "06/03/2022 04:10:09", "force": True}}
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"prepost": {"time": "06/03/2022 04:10:09", "force": True}, "economic": {"time": "06/03/2022 04:10:09", "force": True}, "jokes": {"time": "06/03/2022 04:10:09", "force": True}, "market": {"time": "06/03/2022 04:10:09", "force": True}}
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try:
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try:
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if last_updates['scheduler']['force']:
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if last_updates['scheduler']['force']:
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@ -1755,7 +1821,26 @@ if __name__ == '__main__':
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update_process.start()
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update_process.start()
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update_processes.append(update_process)
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update_processes.append(update_process)
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# market
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market_time = datetime.strptime(last_updates['market']['time'], "%d/%m/%Y %H:%M:%S")
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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diff = (NY_time - market_time).total_seconds()/60 #minutes
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NY_time = datetime.now(NY_zone).replace(tzinfo=None)
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opening = NY_time.replace(hour=9, minute=30, second=0, microsecond=0).replace(tzinfo=None)
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closing = NY_time.replace(hour=16, minute=5, second=0, microsecond=0).replace(tzinfo=None)
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stock_open = opening < NY_time < closing and datetime.today().weekday() <= 4
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if last_updates['market']['force'] or (diff >= update_frequencies['market'] and stock_open):# or msg == 'c':
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market_time = NY_time.strftime("%d/%m/%Y %H:%M:%S")
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last_updates['market']['time'] = market_time
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last_updates['market']['force'] = False
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update_process = Process(target = updateMarket, args = (api_key,logf))
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update_process.start()
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update_processes.append(update_process)
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# jokes
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# jokes
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jokes_time = datetime.strptime(last_updates['jokes']['time'], "%d/%m/%Y %H:%M:%S")
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jokes_time = datetime.strptime(last_updates['jokes']['time'], "%d/%m/%Y %H:%M:%S")
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