thanks gpt

spot/sync.py

@@ -0,0 +1,76 @@
+import os
+import gspread
+from google.auth.transport.requests import Request
+from googleapiclient.discovery import build
+from google.oauth2 import service_account
+from pymongo import MongoClient
+
+# Replace 'credentials.json' with the path to your downloaded credentials JSON file
+credentials = service_account.Credentials.from_service_account_file('credentials.json', scopes=['https://www.googleapis.com/auth/drive'])
+
+# Create a Drive API service client
+drive_service = build('drive', 'v3', credentials=credentials)
+
+def get_google_sheets_in_folder(folder_id):
+    results = drive_service.files().list(
+        q=f"'{folder_id}' in parents and mimeType='application/vnd.google-apps.spreadsheet'",
+        fields='files(id, name)'
+    ).execute()
+
+    sheets = results.get('files', [])
+
+    return sheets
+
+# Replace 'folder_id' with the actual ID of the folder you want to retrieve sheets from
+folder_id = '1TaG1w1UemFNFzOENX34TjHu-4YWkGRGw'
+
+# Call the function to get the Google Sheets in the folder
+sheets = get_google_sheets_in_folder(folder_id)
+
+# Check if the credentials are expired and refresh them if necessary
+if credentials.expired and credentials.refresh_token:
+    credentials.refresh(Request())
+
+# Create a gspread client using the refreshed credentials
+gc = gspread.authorize(credentials)
+
+# Connect to your MongoDB server
+client = MongoClient('MONGODBSRV')
+
+# Replace 'mydatabase' and 'mycollection' with your actual database and collection names
+db = client['cluster0']
+collection = db['spotify']
+
+# Loop through the sheets
+for sheet in sheets:
+    sheet_id = sheet['id']
+
+    # Open the Google Sheet by its ID
+    sheet = gc.open_by_key(sheet_id)
+
+    # Access a specific worksheet (e.g., the first sheet)
+    worksheet = sheet.get_worksheet(0)
+
+    # Extract the data from the worksheet
+    data = worksheet.get_all_values()
+
+    # Convert the data into a list of dictionaries
+    headers = data[0]
+    rows = data[1:]
+    rows_dict = []
+
+    # Map the data to the desired field names
+    field_names = ['date', 'song_name', 'artist', 'song_id', 'song_url']
+    for row in rows:
+        row_dict = {}
+        for i, field_name in enumerate(field_names):
+            row_dict[field_name] = row[i]
+        rows_dict.append(row_dict)
+        print("-----------------")
+        print(row_dict)
+        print("-----------------")
+
+    # Insert the data into MongoDB
+    collection.insert_many(rows_dict)
+
+client.close()