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bugfixing

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This commit is contained in:
MuslemRahimi 2024-10-22 11:04:55 +02:00
parent cf20e3b396
commit 0a2698509a
2 changed files with 46 additions and 49 deletions
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19
app/cron_business_metrics.py
View File

@ -374,7 +374,7 @@ def run(symbol):
revenue_sources = []
geography_sources = []
filings = Company(symbol).get_filings(form=["10-Q"]).latest(20)
filings = Company(symbol).get_filings(form=["10-Q","10-K"]).latest(20)
#print(filings[0].xbrl())
for i in range(0,17):
@ -423,7 +423,7 @@ def run(symbol):
for old, new in replacements.items():
name = name.replace(old, new)
# Determine the target list and the name transformation logic
if symbol in ['NFLX','LLY','MSFT','META','NVDA','AAPL','GME']:
if symbol in ['SAVE','BA','NFLX','LLY','MSFT','META','NVDA','AAPL','GME']:
column_list = ["srt:ProductOrServiceAxis"]
else:
column_list = ["srt:ProductOrServiceAxis", "us-gaap:StatementBusinessSegmentsAxis"]
@ -448,16 +448,7 @@ def run(symbol):
ujson.dump(final_dataset, file)
if __name__ == "__main__":
'''
custom_order = {
'HardwareAndAccessories': 4,
'Software': 3,
'Collectibles': 2,
}
run('GME', custom_order)
'''
for symbol in ['ADBE']: #['NFLX','PLTR','MSFT','META','TSLA','NVDA','AAPL','GME']:
#for AMD we need 10-K form to get geography revenue
run(symbol)
for symbol in []: #['SAVE','BA','ADBE','NFLX','PLTR','MSFT','META','TSLA','NVDA','AAPL','GME']:
#for AMD, SAVE we need 10-K form to get geography revenue
run(symbol)

76
app/cron_dashboard.py
View File

@ -182,41 +182,47 @@ async def get_upcoming_earnings(session):
async def get_recent_earnings(session):
url = "https://api.benzinga.com/api/v2.1/calendar/earnings"
res_list = []
querystring = {"token": benzinga_api_key,"parameters[date_from]":yesterday,"parameters[date_to]":today,"parameters[date_sort]":"date"}
try:
async with session.get(url, params=querystring, headers=headers) as response:
res = ujson.loads(await response.text())['earnings']
for item in res:
try:
symbol = item['ticker']
name = item['name']
time = item['time']
eps_prior = float(item['eps_prior']) if item['eps_prior'] != '' else 0
eps_surprise = float(item['eps_surprise']) if item['eps_surprise'] != '' else 0
eps = float(item['eps']) if item['eps'] != '' else 0
revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
revenue_surprise = float(item['revenue_surprise']) if item['revenue_surprise'] != '' else 0
revenue = float(item['revenue']) if item['revenue'] != '' else 0
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:
df = pd.read_sql_query(query_template, con, params=(symbol,))
market_cap = float(df['marketCap'].iloc[0]) if df['marketCap'].iloc[0] != '' else 0
res_list.append({
'symbol': symbol,
'name': name,
'time': time,
'marketCap': market_cap,
'epsPrior':eps_prior,
'epsSurprise': eps_surprise,
'eps': eps,
'revenuePrior': revenue_prior,
'revenueSurprise': revenue_surprise,
'revenue': revenue
})
except Exception as e:
print('Recent Earnings:', e)
pass
except Exception as e:
pass
importance_list = ["1","2","3","4","5"]
res_list = []
for importance in importance_list:
querystring = {"token": benzinga_api_key,"parameters[importance]":importance, "parameters[date_from]":yesterday,"parameters[date_to]":today,"parameters[date_sort]":"date"}
try:
async with session.get(url, params=querystring, headers=headers) as response:
res = ujson.loads(await response.text())['earnings']
for item in res:
try:
symbol = item['ticker']
name = item['name']
time = item['time']
eps_prior = float(item['eps_prior']) if item['eps_prior'] != '' else 0
eps_surprise = float(item['eps_surprise']) if item['eps_surprise'] != '' else 0
eps = float(item['eps']) if item['eps'] != '' else 0
revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
revenue_surprise = float(item['revenue_surprise']) if item['revenue_surprise'] != '' else 0
revenue = float(item['revenue']) if item['revenue'] != '' else 0
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:
df = pd.read_sql_query(query_template, con, params=(symbol,))
market_cap = float(df['marketCap'].iloc[0]) if df['marketCap'].iloc[0] != '' else 0
res_list.append({
'symbol': symbol,
'name': name,
'time': time,
'marketCap': market_cap,
'epsPrior':eps_prior,
'epsSurprise': eps_surprise,
'eps': eps,
'revenuePrior': revenue_prior,
'revenueSurprise': revenue_surprise,
'revenue': revenue
})
except Exception as e:
print('Recent Earnings:', e)
pass
except Exception as e:
pass
res_list = remove_duplicates(res_list)
#res_list.sort(key=lambda x: x['marketCap'], reverse=True)
res_list.sort(key=lambda x: (-parse_time(x['time']).timestamp(), -x['marketCap']))