Microsoft MSAL Resource Owner Password Credentials(ROPC) 授予授权是否支持 ClientConfidentialAppplicaton 类获取令牌？

如何解决Microsoft MSAL Resource Owner Password Credentials(ROPC) 授予授权是否支持 ClientConfidentialAppplicaton 类获取令牌？

MSAL for Python 支持 ROPC 流（资源所有者密码凭据授予）supports 公共应用程序的令牌检索，我们可以在 MSAL for python 中类似地使用机密客户端类吗？以下链接似乎说不--> https://github.com/AzureAD/microsoft-authentication-library-for-python/wiki/Username-Password-Authentication

另外，如果我们可以同时使用公共和机密客户端，从安全角度推荐这样做吗？

该应用程序是在我们的服务器后台运行的服务应用程序，出于安全原因，在注册应用程序时，应用程序权限被授予委派权限，因此需要 ROPC 流来访问令牌。

感谢任何帮助

使用 PublicClientApplication 类的代码，我希望将下面的代码更改为使用 ConfidentialClientApplication 但该类没有“acquire_token_by_username_password”属性，因此，我正在寻找一种使用 ROPC 的方法，并且是 ConfidentiaClientApplication。

"""
The configuration file would look like this:
{
    "authority": "https://login.microsoftonline.com/organizations","client_id": "your_client_id","username": "your_username@your_tenant.com","password": "This is a sample only. You better NOT persist your password.","scope": ["User.ReadBasic.All"],// You can find the other permission names from this document
        // https://docs.microsoft.com/en-us/graph/permissions-reference
    "endpoint": "https://graph.microsoft.com/v1.0/users"
        // You can find more Microsoft Graph API endpoints from Graph Explorer
        // https://developer.microsoft.com/en-us/graph/graph-explorer
}
You can then run this sample with a JSON configuration file:
    python sample.py parameters.json
"""

import sys  # For simplicity,we'll read config file from 1st CLI param sys.argv[1]
import json
import logging

import requests
import msal


# Optional logging
# logging.basicConfig(level=logging.DEBUG)  # Enable DEBUG log for entire script
# logging.getLogger("msal").setLevel(logging.INFO)  # Optionally disable MSAL DEBUG logs

config = json.load(open(sys.argv[1]))

# Create a preferably long-lived app instance which maintains a token cache.
app = msal.PublicClientApplication(
    config["client_id"],authority=config["authority"],# token_cache=...  # Default cache is in memory only.
                       # You can learn how to use SerializableTokenCache from
                       # https://msal-python.rtfd.io/en/latest/#msal.SerializableTokenCache
    )

# The pattern to acquire a token looks like this.
result = None

# Firstly,check the cache to see if this end user has signed in before
accounts = app.get_accounts(username=config["username"])
if accounts:
    logging.info("Account(s) exists in cache,probably with token too. Let's try.")
    result = app.acquire_token_silent(config["scope"],account=accounts[0])

if not result:
    logging.info("No suitable token exists in cache. Let's get a new one from AAD.")
    # See this page for constraints of Username Password Flow.
    # https://github.com/AzureAD/microsoft-authentication-library-for-python/wiki/Username-Password-Authentication
    result = app.acquire_token_by_username_password(
        config["username"],config["password"],scopes=config["scope"])

if "access_token" in result:
    # Calling graph using the access token
    graph_data = requests.get(  # Use token to call downstream service
        config["endpoint"],headers={'Authorization': 'Bearer ' + result['access_token']},).json()
    print("Graph API call result: %s" % json.dumps(graph_data,indent=2))
else:
    print(result.get("error"))
    print(result.get("error_description"))
    print(result.get("correlation_id"))  # You may need this when reporting a bug
    if 65001 in result.get("error_codes",[]):  # Not mean to be coded programatically,but...
        # AAD requires user consent for U/P flow
        print("Visit this to consent:",app.get_authorization_request_url(config["scope"]))