update fda calendar cron job

app/cron_fda_calendar.py

@@ -9,27 +9,30 @@ import requests
 
 # Load environment variables
 load_dotenv()
-benzinga_api_key = os.getenv('benzinga_api_key')
-fmp_api_key = os.getenv('FMP_API_KEY')
 
+'''
+benzinga_api_key = os.getenv('benzinga_api_key')
 
 url = "https://api.benzinga.com/api/v2.1/calendar/fda"
 querystring = {"token":benzinga_api_key}
 headers = {"accept": "application/json"}
 
+'''
+api_key = os.getenv('UNUSUAL_WHALES_API_KEY')
+
+url = "https://api.unusualwhales.com/api/market/fda-calendar"
+
+headers = {
+    "Accept": "application/json, text/plain",
+    "Authorization": api_key
+}
+
+
 
 async def save_json(data):
     with open(f"json/fda-calendar/data.json", 'w') as file:
         ujson.dump(data, file)
 
-async def get_quote_of_stocks(ticker):
-    async with aiohttp.ClientSession() as session:
-        url = f"https://financialmodelingprep.com/api/v3/quote/{ticker}?apikey={fmp_api_key}" 
-        async with session.get(url) as response:
-            if response.status == 200:
-                return await response.json()
-            else:
-                return {}
 
 async def get_data():
 
@@ -40,46 +43,18 @@ async def get_data():
     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']
-        # New list to store the extracted information
-        extracted_data = []
-
-        # Iterate over the original data to extract required fields
-        for entry in tqdm(data):
+        response = requests.get(url, headers=headers)
+        data = response.json()['data']
+        res_list = []
+        for item in data:
             try:
-                symbol = entry['companies'][0]['securities'][0]['symbol']
+                symbol = item['ticker']
                 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)
+                    res_list.append({**item})
             except:
                 pass
-
-        # Output the new list
-        return extracted_data
+        
+        return data
     except Exception as e:
         print(f"Error fetching data: {e}")
         return []
@@ -87,7 +62,8 @@ async def get_data():
 
 async def run():
     data = await get_data()
-    await save_json(data)
+    if len(data) > 0:
+        await save_json(data)
 
 if __name__ == "__main__":
     try:

app/main.py

@@ -3469,7 +3469,7 @@ async def get_market_maker(api_key: str = Security(get_api_key)):
         res = []
 
     redis_client.set(cache_key, orjson.dumps(res))
-    redis_client.expire(cache_key, 3600*3600)  # Set cache expiration time to 1 day
+    redis_client.expire(cache_key, 60*15)  # Set cache expiration time to 1 day
     return res