#REQ_DEV

Prompt Category:
Requirement Development

Prompt:
Suggest Python code to connect to the Source google sheet and extract the required columns

-Email address

- Tool used

- Feature Used

- Context Awareness

- Autonomy

- Experience

- Output Quality

- Overall Rating

- Unique ID

- Pod

User Observation:
A python file extract_data.py was created

Response ID:
01779e1d-1d40-4202-9851-011953b19ff0

Author: suryasandeepboda

extract_data.py

@@ -0,0 +1,61 @@
+from google.oauth2.service_account import Credentials
+from googleapiclient.discovery import build
+import pandas as pd
+
+def get_google_sheet_data():
+    # Define the scope and credentials
+    SCOPES = ['https://www.googleapis.com/auth/spreadsheets.readonly']
+    creds = Credentials.from_service_account_file('credentials.json', scopes=SCOPES)
+
+    # Create the service
+    service = build('sheets', 'v4', credentials=creds)
+
+    # Spreadsheet ID from the URL
+    SPREADSHEET_ID = '15FMeidgU2Dg7Q4JKPkLAdJmQ3IxWCWJXjhCo9UterCE'
+    RANGE_NAME = 'POD 5!A1:CE1000'  # We'll fetch all columns and filter later
+
+    try:
+        # Call the Sheets API
+        sheet = service.spreadsheets()
+        result = sheet.values().get(
+            spreadsheetId=SPREADSHEET_ID,
+            range=RANGE_NAME
+        ).execute()
+
+        values = result.get('values', [])
+        
+        if not values:
+            print('No data found.')
+            return None
+
+        # Convert to DataFrame
+        df = pd.DataFrame(values[1:], columns=values[0])  # First row as headers
+
+        # Select required columns
+        required_columns = [
+            'Email address',
+            'Tool used',
+            'Feature Used',
+            'Context Awareness',
+            'Autonomy',
+            'Experience',
+            'Output Quality',
+            'Overall Rating',
+            'Unique ID',
+            'Pod'
+        ]
+
+        # Filter only required columns
+        filtered_df = df[required_columns]
+        
+        return filtered_df
+
+    except Exception as e:
+        print(f"An error occurred: {e}")
+        return None
+
+if __name__ == "__main__":
+    data = get_google_sheet_data()
+    if data is not None:
+        print("Successfully retrieved data:")
+        print(data.head())  # Display first 5 rows