fresh one

app.py

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+import gradio as gr
+import requests
+import json
+from datetime import datetime
+import pytz
+
+def validate_date_format(date_str):
+    """Validate if the date is in dd-mm-yyyy format"""
+    try:
+        datetime.strptime(date_str, "%d-%m-%Y")
+        return True
+    except ValueError:
+        return False
+
+def convert_to_unix_millis(date_str, time_str):
+    """Convert dd-mm-yyyy date and time to Unix timestamp in milliseconds (IST)"""
+    ist = pytz.timezone('Asia/Kolkata')
+    datetime_str = f"{date_str} {time_str}"
+    dt = datetime.strptime(datetime_str, "%d-%m-%Y %H:%M")
+    dt_ist = ist.localize(dt)
+    return int(dt_ist.timestamp() * 1000)
+
+def epoch_to_ist_time(epoch_seconds):
+    """Convert epoch timestamp (seconds) to IST time string (HH:MM:SS)"""
+    ist = pytz.timezone('Asia/Kolkata')
+    dt = datetime.fromtimestamp(epoch_seconds, tz=pytz.UTC)
+    dt_ist = dt.astimezone(ist)
+    return dt_ist.strftime("%H:%M:%S")
+
+def fetch_stock_data(ticker, date):
+    """Fetch stock data from Groww API and return simplified JSON"""
+    
+    # Validate date format
+    if not validate_date_format(date):
+        return "Error: Please enter date in dd-mm-yyyy format"
+    
+    # Validate ticker
+    if not ticker or ticker.strip() == "":
+        return "Error: Please enter a valid ticker symbol"
+    
+    ticker = ticker.strip().upper()
+    
+    try:
+        # Calculate start and end timestamps
+        start_millis = convert_to_unix_millis(date, "00:05")
+        end_millis = convert_to_unix_millis(date, "23:55")
+        
+        # Construct API URL
+        url = f"https://groww.in/v1/api/charting_service/v4/chart/exchange/NSE/segment/CASH/{ticker}"
+        params = {
+            "endTimeInMillis": end_millis,
+            "intervalInMinutes": 1,
+            "startTimeInMillis": start_millis
+        }
+        
+        # Make API request
+        response = requests.get(url, params=params, timeout=10)
+        
+        # Check if request was successful
+        if response.status_code != 200:
+            return "Invalid ticker or no data available for the given date."
+        
+        data = response.json()
+        
+        # Check if candles data exists
+        if "candles" not in data or not data["candles"]:
+            return "Invalid ticker or no data available for the given date."
+        
+        # Process candles data
+        simplified_data = []
+        for candle in data["candles"]:
+            epoch_seconds = candle[0]
+            opening_price = candle[1]
+            
+            time_ist = epoch_to_ist_time(epoch_seconds)
+            
+            simplified_data.append({
+                "time": time_ist,
+                "open": opening_price
+            })
+        
+        # Return as JSON string
+        return json.dumps(simplified_data, indent=2)
+    
+    except requests.exceptions.Timeout:
+        return "Error: Request timed out. Please try again."
+    except requests.exceptions.RequestException as e:
+        return "Invalid ticker or no data available for the given date."
+    except Exception as e:
+        return f"Error: An unexpected error occurred - {str(e)}"
+
+# Create Gradio interface
+with gr.Blocks(title="Groww Stock Data Fetcher") as app:
+    gr.Markdown("# Groww Stock Data Fetcher")
+    gr.Markdown("Fetch intraday 1-minute candle data for NSE stocks")
+    
+    with gr.Row():
+        with gr.Column():
+            ticker_input = gr.Textbox(
+                label="Ticker / Symbol",
+                placeholder="e.g., RELIANCE, TCS, HDFCBANK",
+                lines=1
+            )
+            date_input = gr.Textbox(
+                label="Date (dd-mm-yyyy)",
+                placeholder="e.g., 05-11-2025",
+                lines=1
+            )
+            submit_btn = gr.Button("Submit", variant="primary")
+    
+    with gr.Row():
+        output = gr.Textbox(
+            label="Output",
+            lines=20,
+            max_lines=30,
+            show_copy_button=True
+        )
+    
+    submit_btn.click(
+        fn=fetch_stock_data,
+        inputs=[ticker_input, date_input],
+        outputs=output
+    )
+    
+    gr.Markdown("### Instructions")
+    gr.Markdown("""
+    1. Enter a valid NSE stock ticker (e.g., RELIANCE, TCS, HDFCBANK)
+    2. Enter the date in **dd-mm-yyyy** format (e.g., 05-11-2025)
+    3. Click Submit to fetch the data
+    4. The output will show timestamp (IST) and opening price for each 1-minute candle
+    """)
+
+# Launch the app
+if __name__ == "__main__":
+    app.launch()