updated the stock scrapper

codeperfectplus · May 28, 2024 · feff87d · feff87d
1 parent cae19ae
commit feff87d
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Showing 3 changed files with 31 additions and 10 deletions.
diff --git a/dash_server.py b/dash_server.py
@@ -14,7 +14,7 @@
 today_date = datetime.datetime.now(IST).strftime('%d-%m-%Y')
 
 app = Dash(__name__)
-app.title = 'Stock Alert Dashboard(v1.0)'
+app.title = 'Stock Alert Dashboard(v1.1)'
 
 def get_filtered_data():
     df = pd.read_csv(os.path.join(root_dir, 'data/stock.csv'), header=None)
@@ -139,7 +139,7 @@ def get_dash_table(table_id, df):
 
 app.layout = html.Div([
 
-    html.H1('Stock Alert Dashboard(v1.0)',
+    html.H1('Stock Alert Dashboard(v1.1)',
             style={'textAlign': 'center', 'color': '#0099ff', 'font-family': 'Courier New',
                     'font-size': '30px', 'font-weight': 'bold', 'margin-top': '20px'}),
     # update dbc badge

diff --git a/src/config.json b/src/config.json
@@ -1 +1 @@
-[{"stock_name": "Vodafone Idea Ltd", "symbol": "IDEA:NSE", "min_price": 8.5, "max_price": 11.5, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Steel Authority of India Limited", "symbol": "SAIL:NSE", "min_price": 77.9, "max_price": 130, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Birlasoft Ltd", "symbol": "BSOFT:NSE", "min_price": 283.0, "max_price": 500, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Trident Ltd", "symbol": "TRIDENT:NSE", "min_price": 36.25, "max_price": 70, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "KPIT Technologies Ltd", "symbol": "KPITTECH:NSE", "min_price": 505.5, "max_price": 700, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Jubilant Ingrevia Ltd", "symbol": "JUBLINGREA:NSE", "min_price": 450.0, "max_price": 700, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Infosys Ltd", "symbol": "INFY:NSE", "min_price": 1459.0, "max_price": 2000, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Tata Power Company Limited", "symbol": "TATAPOWER:NSE", "min_price": 216.3, "max_price": 241.1, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Tata Motors Limited", "symbol": "TATAMOTORS:NSE", "min_price": 396.25, "max_price": 510, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Coforge Ltd", "symbol": "COFORGE:NSE", "min_price": 3754.9, "max_price": 4759, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Bharti Airtel Limited", "symbol": "BHARTIARTL:NSE", "min_price": 686.45, "max_price": 766.5, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Coal India Ltd", "symbol": "COALINDIA:NSE", "min_price": 157.2, "max_price": 236.35, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Hindustan Copper Ltd.", "symbol": "HINDCOPPER:NSE", "min_price": 101.7, "max_price": 150, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Indian Oil Corporation Ltd", "symbol": "IOC:NSE", "min_price": 66.45, "max_price": 140, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Oil & Natural Gas Corporation Limited", "symbol": "ONGC:NSE", "min_price": 127.65, "max_price": 171.35, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Reliance Industries Ltd", "symbol": "RELIANCE:NSE", "min_price": 2293.8, "max_price": 2628.85, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Affle (India) Ltd", "symbol": "AFFLE:NSE", "min_price": 1053.0, "max_price": 1300, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Borosil Renewables Ltd", "symbol": "BORORENEW:NSE", "min_price": 543.8, "max_price": 700, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Gail India", "symbol": "GAIL:NSE", "min_price": 85.2, "max_price": 155.8, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Zomato Ltd", "symbol": "ZOMATO:NSE", "min_price": 58.5, "max_price": 100, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Yes Bank Limited", "symbol": "YESBANK:NSE", "min_price": 13.15, "max_price": 15.75, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Larsen & Toubro Limited", "symbol": "LT:NSE", "min_price": 1610.0, "max_price": 1915.0, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "NTPC Limited", "symbol": "NTPC:NSE", "min_price": 128.95, "max_price": 165.45, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "ITC Ltd", "symbol": "ITC:NSE", "min_price": 214.75, "max_price": 332.1, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Apple Inc", "symbol": "AAPL:NASDAQ", "min_price": 137.59, "max_price": 180, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Tesla Inc", "symbol": "TSLA:NASDAQ", "min_price": 204.99, "max_price": 900, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Amazon Inc", "symbol": "AMZN:NASDAQ", "min_price": 106.9, "max_price": 3200, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Meta Platform(Facebook)", "symbol": "FB2A:ETR", "min_price": 131.4, "max_price": 190, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Alphabet Inc", "symbol": "GOOGL:NASDAQ", "min_price": 96.56, "max_price": 3000, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "NVIDIA Corporation", "symbol": "NVDA:NASDAQ", "min_price": 112.27, "max_price": 300, "buy": true, "market": "US", "currency": "Dollar"}]
+[{"stock_name": "Vodafone Idea Ltd", "symbol": "IDEA:NSE", "min_price": 8.5, "max_price": 15.0, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Steel Authority of India Limited", "symbol": "SAIL:NSE", "min_price": 77.9, "max_price": 166.6, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Birlasoft Ltd", "symbol": "BSOFT:NSE", "min_price": 283, "max_price": 634.5, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Trident Ltd", "symbol": "TRIDENT:NSE", "min_price": 36.25, "max_price": 70, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "KPIT Technologies Ltd", "symbol": "KPITTECH:NSE", "min_price": 505.5, "max_price": 1552.0, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Jubilant Ingrevia Ltd", "symbol": "JUBLINGREA:NSE", "min_price": 450, "max_price": 700, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Infosys Ltd", "symbol": "INFY:NSE", "min_price": 1459, "max_price": 2000, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Tata Power Company Limited", "symbol": "TATAPOWER:NSE", "min_price": 216.3, "max_price": 446.4, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Tata Motors Limited", "symbol": "TATAMOTORS:NSE", "min_price": 396.25, "max_price": 959.2, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Coforge Ltd", "symbol": "COFORGE:NSE", "min_price": 3754.9, "max_price": 5253.9, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Bharti Airtel Limited", "symbol": "BHARTIARTL:NSE", "min_price": 686.45, "max_price": 1380.4, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Coal India Ltd", "symbol": "COALINDIA:NSE", "min_price": 157.2, "max_price": 494.75, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Hindustan Copper Ltd.", "symbol": "HINDCOPPER:NSE", "min_price": 101.7, "max_price": 370.05, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Indian Oil Corporation Ltd", "symbol": "IOC:NSE", "min_price": 66.45, "max_price": 169.05, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Oil & Natural Gas Corporation Limited", "symbol": "ONGC:NSE", "min_price": 127.65, "max_price": 278.3, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Reliance Industries Ltd", "symbol": "RELIANCE:NSE", "min_price": 2293.8, "max_price": 2934.9, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Affle (India) Ltd", "symbol": "AFFLE:NSE", "min_price": 1053, "max_price": 1300, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Borosil Renewables Ltd", "symbol": "BORORENEW:NSE", "min_price": 506.6, "max_price": 700, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Gail India", "symbol": "GAIL:NSE", "min_price": 85.2, "max_price": 202.6, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Zomato Ltd", "symbol": "ZOMATO:NSE", "min_price": 58.5, "max_price": 184.1, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Yes Bank Limited", "symbol": "YESBANK:NSE", "min_price": 13.15, "max_price": 23.0, "buy": true, "market": "IN", "currency": "INR"}, {"stock_name": "Larsen & Toubro Limited", "symbol": "LT:NSE", "min_price": 1610, "max_price": 3647.0, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "NTPC Limited", "symbol": "NTPC:NSE", "min_price": 128.95, "max_price": 370.15, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "ITC Ltd", "symbol": "ITC:NSE", "min_price": 214.75, "max_price": 432.25, "buy": false, "market": "IN", "currency": "INR"}, {"stock_name": "Apple Inc", "symbol": "AAPL:NASDAQ", "min_price": 137.59, "max_price": 189.98, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Tesla Inc", "symbol": "TSLA:NASDAQ", "min_price": 179.24, "max_price": 900, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Amazon Inc", "symbol": "AMZN:NASDAQ", "min_price": 106.9, "max_price": 3200, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Meta Platform(Facebook)", "symbol": "FB2A:ETR", "min_price": 131.4, "max_price": 439.85, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "Alphabet Inc", "symbol": "GOOGL:NASDAQ", "min_price": 96.56, "max_price": 3000, "buy": true, "market": "US", "currency": "Dollar"}, {"stock_name": "NVIDIA Corporation", "symbol": "NVDA:NASDAQ", "min_price": 112.27, "max_price": 1064.69, "buy": true, "market": "US", "currency": "Dollar"}]
diff --git a/stock_scrapper.py b/stock_scrapper.py
@@ -9,7 +9,6 @@
 
 IST = pytz.timezone('Asia/Kolkata')
 
-current_time = datetime.datetime.now(IST).strftime('%H:%M:%S')
 
 def check_alert(config):
     stock_data = fetch_data(config['symbol'])
@@ -88,14 +87,36 @@ def main():
         check_alert(config)
     update_config(configs)
 
+
+def print_time_left(minutes_left, print_time_delay=1):
+    seconds_left = minutes_left * 60
+    while seconds_left > 0:
+        print("Remaining time: {} mins".format(round(seconds_left / 60, 2)), end='\r')
+        time.sleep(print_time_delay)
+        seconds_left -= print_time_delay
+        minutes_left -= print_time_delay / 60
+
 if __name__ == '__main__':
     while True:
-        if current_time > '08:55:00' and current_time < '15:30:00':
+        market_open_timing = '09:00:00'
+        market_close_timing = '15:30:00'
+        current_time = datetime.datetime.now(IST).strftime('%H:%M:%S')
+        current_day = datetime.datetime.now(IST).strftime('%A')
+        if current_day in ['Saturday', 'Sunday']:
+            print('Market is closed')
+            print('Market will open on Monday at {}'.format(market_open_timing))
+            time.sleep(300)
+            continue
+
+        elif current_time < market_open_timing or current_time > market_close_timing:
+            print('Market is closed')
+            differnce = datetime.datetime.strptime(market_open_timing, '%H:%M:%S') - datetime.datetime.strptime(current_time, '%H:%M:%S')
+            differnce = differnce.total_seconds()/60
+            print('Market will open in {} minutes'.format(differnce))
+            # start a timer and print in the reverse order
+            print_time_left(differnce)
+            continue
+        else:
             check_overall()
             main()
             time.sleep(20)
-        else:
-            print('Market is closed')
-            # delte csv file
-            shutil.rmtree('data/stock.csv', ignore_errors=True)
-            time.sleep(300)