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update dashboard

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This commit is contained in:
MuslemRahimi 2024-08-08 13:47:45 +02:00
parent fdd1c20c1e
commit c3656edbc9
2 changed files with 30 additions and 19 deletions
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47
app/cron_corporate_lobbying.py
View File

@ -349,27 +349,28 @@ def save_json(symbol, data):
json.dump(data, file)
def process_stock(stock, csv_files, reports_folder, threshold):
print(stock['name'])
year_totals = defaultdict(float)
stock_name_lower = stock['name'].lower()
def process_stocks_batch(stocks, csv_files, reports_folder, threshold):
all_df = pd.concat([pd.read_csv(os.path.join(reports_folder, csv_file), usecols=['ClientName', 'AmountReported', 'FilingYear']) for csv_file in csv_files])
all_df['ClientName_lower'] = all_df['ClientName'].str.lower()
for csv_file in csv_files:
print(csv_file)
df = pd.read_csv(os.path.join(reports_folder, csv_file), usecols=['ClientName', 'AmountReported', 'FilingYear'])
results = {}
for stock in stocks:
print(stock['name'])
stock_name_lower = stock['name'].lower()
df['ClientName_lower'] = df['ClientName'].str.lower()
df['score'] = df['ClientName_lower'].apply(lambda x: process.extractOne(stock_name_lower, [x])[1])
all_df['score'] = all_df['ClientName_lower'].apply(lambda x: process.extractOne(stock_name_lower, [x])[1])
matched_df = all_df[all_df['score'] >= threshold]
matched_df = df[df['score'] >= threshold]
year_totals = matched_df.groupby('FilingYear')['AmountReported'].sum().to_dict()
all_res_list = [{'year': year, 'amount': amount} for year, amount in year_totals.items()]
year_totals.update(matched_df.groupby('FilingYear')['AmountReported'].sum().to_dict())
if all_res_list:
save_json(stock['symbol'], all_res_list)
print(f"Saved data for {stock['symbol']} ({len(all_res_list)} matches)")
results[stock['symbol']] = all_res_list
all_res_list = [{'year': year, 'amount': amount} for year, amount in year_totals.items()]
if all_res_list:
save_json(stock['symbol'], all_res_list)
print(f"Saved data for {stock['symbol']} ({len(all_res_list)} matches)")
return results
def create_dataset():
reports_folder = "json/corporate-lobbying/reports"
@ -381,11 +382,19 @@ def create_dataset():
cursor.execute("PRAGMA journal_mode = wal")
cursor.execute("SELECT DISTINCT symbol, name FROM stocks WHERE marketCap >= 10E9 AND symbol NOT LIKE '%.%' AND symbol NOT LIKE '%-%'")
stock_data = [{'symbol': row[0], 'name': row[1]} for row in cursor.fetchall()]
print(len(stock_data))
print(f"Total stocks: {len(stock_data)}")
con.close()
with concurrent.futures.ThreadPoolExecutor(max_workers=os.cpu_count()) as executor:
executor.map(lambda stock: process_stock(stock, csv_files, reports_folder, threshold), stock_data)
batch_size = 10
stock_batches = [stock_data[i:i+batch_size] for i in range(0, len(stock_data), batch_size)]
with concurrent.futures.ProcessPoolExecutor(max_workers=os.cpu_count()) as executor:
futures = [executor.submit(process_stocks_batch, batch, csv_files, reports_folder, threshold) for batch in stock_batches]
for future in concurrent.futures.as_completed(futures):
results = future.result()
print(f"Processed batch with {len(results)} stocks")
if '__main__' == __name__:

2
app/cron_dashboard.py
View File

@ -123,6 +123,7 @@ async def get_recent_earnings(session):
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
@ -135,6 +136,7 @@ async def get_recent_earnings(session):
res_list.append({
'symbol': symbol,
'name': name,
'time': time,
'marketCap': market_cap,
'epsPrior':eps_prior,
'epsSurprise': eps_surprise,