From 7e6049140b2f245cb2dce5ca747ac85b52f39e4d Mon Sep 17 00:00:00 2001
From: MuslemRahimi <moslem_rahimi@hotmail.de>
Date: Mon, 29 Jul 2024 18:26:18 +0200
Subject: [PATCH] remove cron job

---
 app/cron_newsletter.py | 96 ------------------------------------------
 1 file changed, 96 deletions(-)
 delete mode 100644 app/cron_newsletter.py

diff --git a/app/cron_newsletter.py b/app/cron_newsletter.py
deleted file mode 100644
index 5fc8dfd..0000000
--- a/app/cron_newsletter.py
+++ /dev/null
@@ -1,96 +0,0 @@
-import aiohttp
-import aiofiles
-import ujson
-import sqlite3
-import pandas as pd
-import asyncio
-import pytz
-import time
-import os
-from dotenv import load_dotenv
-from datetime import datetime, timedelta
-import sqlite3
-
-headers = {"accept": "application/json"}
-
-
-
-
-load_dotenv()
-benzinga_api_key = os.getenv('BENZINGA_API_KEY_EXTRA')
-
-
-
-query_template = """
-    SELECT 
-        marketCap
-    FROM 
-        stocks 
-    WHERE
-        symbol = ?
-"""
-
-async def save_json(data):
-    with open(f"json/newsletter/data.json", 'w') as file:
-        ujson.dump(data, file)
-
-
-async def get_upcoming_earnings(session):
-	url = "https://api.benzinga.com/api/v2.1/calendar/earnings"
-	querystring = {"token": benzinga_api_key,"parameters[date_from]":"2024-07-30","parameters[date_to]":"2024-07-30"}
-	try:
-		async with session.get(url, params=querystring, headers=headers) as response:
-			res_list = []
-			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_est = float(item['eps_est']) if item['eps_est'] != '' else 0
-					revenue_est = float(item['revenue_est']) if item['revenue_est'] != '' else 0
-					revenue_prior = float(item['revenue_prior']) if item['revenue_prior'] != '' else 0
-					if symbol in stock_symbols and revenue_est != 0 and revenue_prior != 0 and eps_prior != 0 and eps_est != 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,
-							'epsEst': eps_est,
-							'revenuePrior': revenue_prior,
-							'revenueEst': revenue_est
-							})
-				except Exception as e:
-					print(e)
-					pass
-		res_list.sort(key=lambda x: x['marketCap'], reverse=True)
-		return res_list
-	except Exception as e:
-		print(e)
-
-
-async def run():
-	async with aiohttp.ClientSession() as session:
-		upcoming_earnings = await get_upcoming_earnings(session)		
-
-		data = {'upcomingEarnings': upcoming_earnings}
-		
-		if len(data) > 0:
-			await save_json(data)
-		
-
-try:
-	con = sqlite3.connect('stocks.db')
-	cursor = con.cursor()
-	cursor.execute("PRAGMA journal_mode = wal")
-	cursor.execute("SELECT DISTINCT symbol FROM stocks")
-	stock_symbols = [row[0] for row in cursor.fetchall()]
-
-	asyncio.run(run())
-	con.close()
-except Exception as e:
-    print(e)
\ No newline at end of file