In part 2 of the Google Sheets API in Python series, we will learn how to use Google Sheets API to create a Google Sheets file along with configuring some useful default settings such as auto-calculation setting, time zone, default worksheets.


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References

Google Sheets Documentation: https://developers.google.com/sheets/api

Google Sheets Scopes: https://developers.google.com/sheets/api/guides/authorizing





Install Google Client Library:
pip install --upgrade google-api-python-client google-auth-httplib2 google-auth-oauthlib

Source Code:

import os
from Google import Create_Service

FOLDER_PATH = r'<Clent Secret File Folder Path>'
CLIENT_SECRET_FILE = os.path.join(FOLDER_PATH, 'Client_Secret.json')
API_SERVICE_NAME = 'sheets'
API_VERSION = 'v4'
SCOPES = ['https://www.googleapis.com/auth/spreadsheets']

service = Create_Service(CLIENT_SECRET_FILE, API_SERVICE_NAME, API_VERSION, SCOPES)

sheets_file1 = service.spreadsheets().create().execute()

# dict_keys(['spreadsheetId', 'properties', 'sheets', 'spreadsheetUrl'])
print(sheets_file1)

print(sheets_file1['spreadsheetUrl'])
print(sheets_file1['spreadsheetId'])
print(sheets_file1['sheets'])
print(sheets_file1['properties']) # Google Sheets information 


"""
To specify Google Sheets file basic settings and as well as configure default worksheets
"""
sheet_body = {
    'properties': {
        'title': 'My first Google Sheets',
        'locale': 'en_US', # optional
        'autoRecalc': 'ON_CHANGE', # calculation setting #https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets#RecalculationInterval
        'timeZone': 'America/Los_Angeles'
        }
    ,
    'sheets': [
        {
            'properties': {
                'title': 'Sales South'
            }
        },
        {
            'properties': {
                'title': 'Sales North'
            }
        }
    ]
}

sheets_file2 = service.spreadsheets().create(body=sheet_body).execute()
print(sheets_file2['spreadsheetUrl'])
print(sheets_file2['spreadsheetId'])
print(sheets_file2['sheets'])
print(sheets_file2['properties']) # Google Sheets information 



Google.py

import pickle
import os
from google_auth_oauthlib.flow import Flow, InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.http import MediaFileUpload, MediaIoBaseDownload
from google.auth.transport.requests import Request


def Create_Service(client_secret_file, api_name, api_version, *scopes):
    print(client_secret_file, api_name, api_version, scopes, sep='-')
    CLIENT_SECRET_FILE = client_secret_file
    API_SERVICE_NAME = api_name
    API_VERSION = api_version
    SCOPES = [scope for scope in scopes[0]]
    print(SCOPES)

    cred = None

    pickle_file = f'token_{API_SERVICE_NAME}_{API_VERSION}.pickle'
    # print(pickle_file)

    if os.path.exists(pickle_file):
        with open(pickle_file, 'rb') as token:
            cred = pickle.load(token)

    if not cred or not cred.valid:
        if cred and cred.expired and cred.refresh_token:
            cred.refresh(Request())
        else:
            flow = InstalledAppFlow.from_client_secrets_file(CLIENT_SECRET_FILE, SCOPES)
            cred = flow.run_local_server()

        with open(pickle_file, 'wb') as token:
            pickle.dump(cred, token)

    try:
        service = build(API_SERVICE_NAME, API_VERSION, credentials=cred)
        print(API_SERVICE_NAME, 'service created successfully')
        return service
    except Exception as e:
        print('Unable to connect.')
        print(e)
        return None

def convert_to_RFC_datetime(year=1900, month=1, day=1, hour=0, minute=0):
    dt = datetime.datetime(year, month, day, hour, minute, 0).isoformat() + 'Z'
    return dt