bugfixing: consider only symbol that exist in db

app/cron_fda_calendar.py

@@ -2,6 +2,8 @@ import ujson
 import asyncio
 import aiohttp
 import os
+import sqlite3
+from tqdm import tqdm
 from dotenv import load_dotenv
 import requests
 
@@ -30,6 +32,13 @@ async def get_quote_of_stocks(ticker):
                 return {}
 
 async def get_data():
+
+    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()]
+    con.close()
     try:
         response = requests.request("GET", url, headers=headers, params=querystring)
         data = ujson.loads(response.text)['fda']
@@ -37,34 +46,35 @@ async def get_data():
         extracted_data = []
 
         # Iterate over the original data to extract required fields
-        for entry in data:
+        for entry in tqdm(data):
             try:
                 symbol = entry['companies'][0]['securities'][0]['symbol']
-                name = entry['companies'][0]['name']
-                drug_name = entry['drug']['name'].capitalize()
-                indication = entry['drug']['indication_symptom']
-                outcome = entry['outcome']
-                source_type = entry['source_type']
-                status = entry['status']
-                target_date = entry['target_date']
-                
-                changes_percentage = round((await get_quote_of_stocks(symbol))[0]['changesPercentage'] ,2)
+                if symbol in stock_symbols:
+                    name = entry['companies'][0]['name']
+                    drug_name = entry['drug']['name'].capitalize()
+                    indication = entry['drug']['indication_symptom']
+                    outcome = entry['outcome']
+                    source_type = entry['source_type']
+                    status = entry['status']
+                    target_date = entry['target_date']
+                    
+                    changes_percentage = round((await get_quote_of_stocks(symbol))[0]['changesPercentage'] ,2)
 
-                # Create a new dictionary with the extracted information
-                new_entry = {
-                    'symbol': symbol,
-                    'name': name,
-                    'drugName': drug_name,
-                    'indication': indication,
-                    'outcome': outcome,
-                    'sourceType': source_type,
-                    'status': status,
-                    'targetDate': target_date,
-                    'changesPercentage': changes_percentage
-                }
-            
-                # Append the new dictionary to the new list
-                extracted_data.append(new_entry)
+                    # Create a new dictionary with the extracted information
+                    new_entry = {
+                        'symbol': symbol,
+                        'name': name,
+                        'drugName': drug_name,
+                        'indication': indication,
+                        'outcome': outcome,
+                        'sourceType': source_type,
+                        'status': status,
+                        'targetDate': target_date,
+                        'changesPercentage': changes_percentage
+                    }
+                
+                    # Append the new dictionary to the new list
+                    extracted_data.append(new_entry)
             except:
                 pass