Python / pyodbcを使用してデータをGoogleスプレッドシートにプッシュするにはどうすればよいですか？

前もって：私はPythonに非常に慣れていません。：）

GoogleのPythonクイックスタート情報を取得しました。読み取り/書き込み権限でGoogleスプレッドシートに正常に接続し、シートから以前の情報をクリアできます。また、pyodbcのドキュメントに従うことができ、使用しているMSSQLサーバーに正常に接続して、MSSQLテーブルのExcelコピーを書き出すことができました。

ただし、テーブルのMSSQLクエリ結果をGoogleスプレッドシートに追加する方法がわからないようです。VSCode内では、トレースバックで最新の呼び出しを提供し、エラーなしで正しく機能しているように見えます。ただし、シートは更新されません。

注：の値をdfListFormatテキスト文字列に変更すると、ターゲット範囲のA1にその単一の値が追加されます。

value_range_body = {
        "majorDimension": "ROWS",
        "values": [
            [dfListFormat]
        ]
    }  

以下は私が現在持っている完全なコードです。あなたが提供できるどんな助け/アドバイスも大いにありがたいです。

from __future__ import print_function
import httplib2
import oauth2client
import os
import googleapiclient
import openpyxl
import pandas
import pyodbc

from apiclient import discovery
from oauth2client import client
from oauth2client import tools
from oauth2client.file import Storage
from googleapiclient.discovery import build
from openpyxl import Workbook
from pandas import DataFrame, ExcelWriter


""" This is the code to get raw data from a specific Google Sheet"""
try:
    import argparse
    flags = argparse.ArgumentParser(parents=[tools.argparser]).parse_args()
except ImportError:
    flags = None

# If modifying these scopes, delete your previously saved credentials
# at ~/.credentials/sheets.googleapis.com-python-quickstart.json
SCOPES = 'https://www.googleapis.com/auth/spreadsheets'
CLIENT_SECRET_FILE = 'client_secret_noemail.json'
APPLICATION_NAME = 'Google Sheets API Python'


def get_credentials():
    """Gets valid user credentials from storage.

    If nothing has been stored, or if the stored credentials are invalid,
    the OAuth2 flow is completed to obtain the new credentials.

    Returns:
        Credentials, the obtained credential.
    """
    home_dir = os.path.expanduser('~')
    credential_dir = os.path.join(home_dir, '.credentials')
    if not os.path.exists(credential_dir):
        os.makedirs(credential_dir)
    credential_path = os.path.join(credential_dir,
                                   'sheets.googleapis.com-python-quickstart.json')

    store = Storage(credential_path)
    credentials = store.get()
    if not credentials or credentials.invalid:
        flow = client.flow_from_clientsecrets(CLIENT_SECRET_FILE, SCOPES)
        flow.user_agent = APPLICATION_NAME
        if flags:
            credentials = tools.run_flow(flow, store, flags)
        else:  # Needed only for compatibility with Python 2.6
            credentials = tools.run_flow(flow, store)
        print('Storing credentials to ' + credential_path)
    return credentials


def main():
    """Shows basic usage of the Sheets API.

    Creates a Sheets API service object and prints the names and majors of
    students in a sample spreadsheet:
    https://docs.google.com/spreadsheets/d/1BxiMVs0XRA5nFMdKvBdBZjgmUUqptlbs74OgvE2upms/edit
    """
    credentials = get_credentials()
    http = credentials.authorize(httplib2.Http())
    discoveryUrl = ('https://sheets.googleapis.com/$discovery/rest?version=v4')
    service = discovery.build(
        'sheets', 'v4', http=http, discoveryServiceUrl=discoveryUrl)

    # Google Sheet Url Link and Range name. Can use tab names to get full page.
    spreadsheetId = '[spreadsheetid]'
    rangeName = 'tblActiveEmployees'

    # TODO: Add desired entries to the request body if needed
    clear_values_request_body = {}

    # Building Service to Clear Google Sheet
    request = service.spreadsheets().values().clear(spreadsheetId=spreadsheetId,
                                                    range=rangeName, body=clear_values_request_body)
    response = request.execute()

    # Prints response that Google Sheet has been cleared
    responseText = '\n'.join(
        [str(response), 'The Google Sheet has been cleared!'])
    print(responseText)

    # SQL Server Connection
    server = '[SQLServerIP]'
    database = '[SQLServerDB]'
    username = '[SQLServerUserID]'
    password = '[SQLServerPW]'
    cnxn = pyodbc.connect('Driver={ODBC Driver 13 for SQL Server};SERVER=' +
                          server+';DATABASE='+database+';UID='+username+';PWD='+password)

    # Sample SQL Query to get Data
    sql = 'select * from tblActiveEmployees'
    cursor = cnxn.cursor()
    cursor.execute(sql)
    list(cursor.fetchall())

    # Pandas reading values from SQL query, and building table
    sqlData = pandas.read_sql_query(sql, cnxn)

    # Pandas building dataframe, and exporting .xlsx copy of table
    df = DataFrame(data=sqlData)

    df.to_excel('tblActiveEmployees.xlsx',
                header=True, index=False)
    dfListFormat = df.values.tolist()

    # How the input data should be interpreted.
    value_input_option = 'USER_ENTERED'  # TODO: Update placeholder value.

    # How the input data should be inserted.
    insert_data_option = 'OVERWRITE'  # TODO: Update placeholder value.

    value_range_body = {
        "majorDimension": "ROWS",
        "values": [
            [dfListFormat]
        ]
    }

    request = service.spreadsheets().values().append(spreadsheetId=spreadsheetId, range=rangeName,
                                                     valueInputOption=value_input_option, insertDataOption=insert_data_option, body=value_range_body)
    response = request.execute()


if __name__ == '__main__':
    main()