backend/app/cron_next_earnings.py
2024-08-30 21:47:46 +02:00

71 lines
2.9 KiB
Python

import aiohttp
import aiofiles
import ujson
import sqlite3
import asyncio
import os
from dotenv import load_dotenv
from datetime import datetime
from tqdm import tqdm
headers = {"accept": "application/json"}
url = "https://api.benzinga.com/api/v2.1/calendar/earnings"
load_dotenv()
benzinga_api_key_extra = os.getenv('BENZINGA_API_KEY_EXTRA')
today = datetime.today()
async def save_json(data, symbol):
async with aiofiles.open(f"json/next-earnings/companies/{symbol}.json", 'w') as file:
await file.write(ujson.dumps(data))
async def get_data(session, ticker):
querystring = {"token": benzinga_api_key_extra, "parameters[tickers]": ticker}
try:
async with session.get(url, params=querystring, headers=headers) as response:
if response.status == 200:
data = ujson.loads(await response.text())['earnings']
future_dates = [item for item in data if datetime.strptime(item["date"], "%Y-%m-%d") > today]
if future_dates:
data = min(future_dates, key=lambda x: datetime.strptime(x["date"], "%Y-%m-%d"))
try:
symbol = data['ticker']
time = data['time']
date = data['date']
eps_prior = float(data['eps_prior']) if data['eps_prior'] else 0
eps_est = float(data['eps_est']) if data['eps_est'] else 0
revenue_est = float(data['revenue_est']) if data['revenue_est'] else 0
revenue_prior = float(data['revenue_prior']) if data['revenue_prior'] else 0
if revenue_est and revenue_prior and eps_prior and eps_est:
res_list = {
'date': date,
'time': time,
'epsPrior': eps_prior,
'epsEst': eps_est,
'revenuePrior': revenue_prior,
'revenueEst': revenue_est
}
await save_json(res_list, symbol)
except KeyError:
pass
except Exception as e:
pass
async def run(stock_symbols):
async with aiohttp.ClientSession() as session:
tasks = [get_data(session, symbol) for symbol in stock_symbols]
for f in tqdm(asyncio.as_completed(tasks), total=len(stock_symbols)):
await f
try:
con = sqlite3.connect('stocks.db')
cursor = con.cursor()
cursor.execute("PRAGMA journal_mode = wal")
cursor.execute("SELECT DISTINCT symbol FROM stocks WHERE symbol NOT LIKE '%.%'")
stock_symbols = [row[0] for row in cursor.fetchall()]
con.close()
asyncio.run(run(stock_symbols))
except Exception as e:
print(e)