update dashboard cron job
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@ -390,6 +390,6 @@ def create_dataset():
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if '__main__' == __name__:
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get_historical_data()
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#update_latest_quarter()
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#create_dataset()
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#get_historical_data()
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update_latest_quarter()
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create_dataset()
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@ -11,29 +11,22 @@ from dotenv import load_dotenv
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from datetime import datetime, timedelta
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import sqlite3
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headers = {"accept": "application/json"}
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con = sqlite3.connect('stocks.db')
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etf_con = sqlite3.connect('etf.db')
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cursor = con.cursor()
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cursor.execute("PRAGMA journal_mode = wal")
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cursor.execute("SELECT DISTINCT symbol FROM stocks")
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stock_symbols = [row[0] for row in cursor.fetchall()]
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etf_cursor = etf_con.cursor()
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etf_cursor.execute("PRAGMA journal_mode = wal")
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etf_cursor.execute("SELECT DISTINCT symbol FROM etfs")
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etf_symbols = [row[0] for row in etf_cursor.fetchall()]
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total_symbols = stock_symbols+etf_symbols
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con.close()
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etf_con.close()
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load_dotenv()
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benzinga_api_key = os.getenv('BENZINGA_API_KEY')
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benzinga_api_key_extra = os.getenv('BENZINGA_API_KEY_EXTRA')
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query_template = """
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SELECT
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marketCap
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FROM
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stocks
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WHERE
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symbol = ?
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"""
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async def save_json(data):
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@ -41,6 +34,126 @@ async def save_json(data):
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ujson.dump(data, file)
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def remove_duplicates(elements):
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seen = set()
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unique_elements = []
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for element in elements:
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if element['symbol'] not in seen:
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seen.add(element['symbol'])
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unique_elements.append(element)
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return unique_elements
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def weekday():
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today = datetime.today()
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one_day = timedelta(1)
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yesterday = today - one_day
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while yesterday.weekday() >= 5: # 5 = Saturday, 6 = Sunday
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yesterday -= one_day
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return yesterday.strftime('%Y-%m-%d')
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today = datetime.today().strftime('%Y-%m-%d')
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tomorrow = (datetime.today() + timedelta(1))
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yesterday = weekday()
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if tomorrow.weekday() >= 5: # 5 = Saturday, 6 = Sunday
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tomorrow = tomorrow + timedelta(days=(7 - tomorrow.weekday()))
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tomorrow = tomorrow.strftime('%Y-%m-%d')
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async def get_upcoming_earnings(session):
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url = "https://api.benzinga.com/api/v2.1/calendar/earnings"
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importance_list = ["3","4","5"]
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res_list = []
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for importance in importance_list:
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querystring = {"token": benzinga_api_key_extra,"parameters[importance]":importance,"parameters[date_from]":tomorrow,"parameters[date_to]":tomorrow,"parameters[date_sort]":"date"}
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try:
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async with session.get(url, params=querystring, headers=headers) as response:
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res = ujson.loads(await response.text())['earnings']
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for item in res:
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try:
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symbol = item['ticker']
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name = item['name']
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time = item['time']
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eps_prior = float(item['eps_prior']) if item['eps_prior'] != '' else 0
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eps_est = float(item['eps_est']) if item['eps_est'] != '' else 0
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revenue_est = float(item['revenue_est']) if item['revenue_est'] != '' else 0
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revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
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if symbol in stock_symbols and revenue_est != 0 and revenue_prior != 0 and eps_prior != 0 and eps_est != 0:
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df = pd.read_sql_query(query_template, con, params=(symbol,))
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market_cap = float(df['marketCap'].iloc[0]) if df['marketCap'].iloc[0] != '' else 0
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res_list.append({
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'symbol': symbol,
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'name': name,
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'time': time,
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'marketCap': market_cap,
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'epsPrior':eps_prior,
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'epsEst': eps_est,
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'revenuePrior': revenue_prior,
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'revenueEst': revenue_est
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})
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except Exception as e:
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print('1 Upcoming Earnings:', e)
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pass
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res_list = remove_duplicates(res_list)
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res_list.sort(key=lambda x: x['marketCap'], reverse=True)
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res_list = [{k: v for k, v in d.items() if k != 'marketCap'} for d in res_list]
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except Exception as e:
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pass
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return res_list[0:5]
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async def get_recent_earnings(session):
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url = "https://api.benzinga.com/api/v2.1/calendar/earnings"
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importance_list = ["3","4","5"]
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res_list = []
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for importance in importance_list:
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querystring = {"token": benzinga_api_key_extra,"parameters[importance]":importance,"parameters[date_from]":yesterday,"parameters[date_to]":today,"parameters[date_sort]":"date"}
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try:
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async with session.get(url, params=querystring, headers=headers) as response:
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res = ujson.loads(await response.text())['earnings']
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for item in res:
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try:
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symbol = item['ticker']
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name = item['name']
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eps_prior = float(item['eps_prior']) if item['eps_prior'] != '' else 0
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eps_surprise = float(item['eps_surprise']) if item['eps_surprise'] != '' else 0
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eps = float(item['eps']) if item['eps'] != '' else 0
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revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
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revenue_surprise = float(item['revenue_surprise']) if item['revenue_surprise'] != '' else 0
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revenue = float(item['revenue']) if item['revenue'] != '' else 0
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if symbol in stock_symbols and revenue != 0 and revenue_prior != 0 and eps_prior != 0 and eps != 0 and revenue_surprise != 0 and eps_surprise != 0:
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df = pd.read_sql_query(query_template, con, params=(symbol,))
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market_cap = float(df['marketCap'].iloc[0]) if df['marketCap'].iloc[0] != '' else 0
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res_list.append({
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'symbol': symbol,
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'name': name,
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'marketCap': market_cap,
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'epsPrior':eps_prior,
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'epsSurprise': eps_surprise,
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'eps': eps,
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'revenuePrior': revenue_prior,
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'revenueSurprise': revenue_surprise,
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'revenue': revenue
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})
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except Exception as e:
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print('Recent Earnings:', e)
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pass
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except Exception as e:
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pass
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res_list = remove_duplicates(res_list)
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res_list.sort(key=lambda x: x['marketCap'], reverse=True)
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res_list = [{k: v for k, v in d.items() if k != 'marketCap'} for d in res_list]
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return res_list[0:5]
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async def get_latest_bezinga_market_news(session):
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url = "https://api.benzinga.com/api/v2/news"
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querystring = {"token": benzinga_api_key,"channels":"News","pageSize":"10","displayOutput":"full"}
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@ -61,6 +174,9 @@ async def get_latest_bezinga_market_news(session):
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async def run():
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async with aiohttp.ClientSession() as session:
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benzinga_news = await get_latest_bezinga_market_news(session)
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recent_earnings = await get_recent_earnings(session)
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upcoming_earnings = await get_upcoming_earnings(session)
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try:
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with open(f"json/retail-volume/data.json", 'r') as file:
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retail_tracker = ujson.load(file)[0:5]
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@ -102,12 +218,39 @@ async def run():
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quick_info = {**market_mover, 'shorted': shorted_stock}
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data = {'quickInfo': quick_info, 'optionsFlow': options_flow, 'retailTracker': retail_tracker, 'wiimFeed': wiim_feed, 'marketNews': benzinga_news}
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data = {
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'quickInfo': quick_info,
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'optionsFlow': options_flow,
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'retailTracker': retail_tracker,
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'wiimFeed': wiim_feed,
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'marketNews': benzinga_news,
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'recentEarnings': recent_earnings,
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'upcomingEarnings': upcoming_earnings
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}
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if len(data) > 0:
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await save_json(data)
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try:
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asyncio.run(run())
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con = sqlite3.connect('stocks.db')
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etf_con = sqlite3.connect('etf.db')
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cursor = con.cursor()
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cursor.execute("PRAGMA journal_mode = wal")
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cursor.execute("SELECT DISTINCT symbol FROM stocks")
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stock_symbols = [row[0] for row in cursor.fetchall()]
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etf_cursor = etf_con.cursor()
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etf_cursor.execute("PRAGMA journal_mode = wal")
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etf_cursor.execute("SELECT DISTINCT symbol FROM etfs")
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etf_symbols = [row[0] for row in etf_cursor.fetchall()]
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total_symbols = stock_symbols+etf_symbols
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asyncio.run(run())
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con.close()
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etf_con.close()
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except Exception as e:
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print(e)
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