精靈應用程式會使用應用程式許可權,而不是委派權限。 因此,其所支援的帳戶類型不可以是任何組織目錄中的帳戶,也不可以為任何個人的 Microsoft 帳戶 (例如 Skype、Xbox、Outlook.com)。 沒有租用戶系統管理員可以將精靈應用程式的同意權限授與 Microsoft 個人帳戶。 您必須選擇使用「組織內的帳戶」或「任何組織內的帳戶」。
{
"AzureAd": {
"Instance": "https://login.microsoftonline.com/",
"TenantId": "[Enter here the tenantID or domain name for your Azure AD tenant]",
"ClientId": "[Enter here the ClientId for your application]",
"ClientCredentials": [
{
"SourceType": "ClientSecret",
"ClientSecret": "[Enter here a client secret for your application]"
}
]
}
}
# Credentials
TENANT_ID=Enter_the_Tenant_Info_Here
CLIENT_ID=Enter_the_Application_Id_Here
// You provide either a ClientSecret or a CertificateConfiguration, or a ClientAssertion. These settings are exclusive
CLIENT_SECRET=Enter_the_Client_Secret_Here
CERTIFICATE_THUMBPRINT=Enter_the_certificate_thumbprint_Here
CERTIFICATE_PRIVATE_KEY=Enter_the_certificate_private_key_Here
CLIENT_ASSERTION=Enter_the_Assertion_String_Here
# Endpoints
// the Azure AD endpoint is the authority endpoint for token issuance
AAD_ENDPOINT=Enter_the_Cloud_Instance_Id_Here // https://login.microsoftonline.com/
// the graph endpoint is the application ID URI of Microsoft Graph
GRAPH_ENDPOINT=Enter_the_Graph_Endpoint_Here // https://graph.microsoft.com/
{
"authority": "https://login.microsoftonline.com/<your_tenant_id>",
"client_id": "your_client_id",
"scope": [ "https://graph.microsoft.com/.default" ],
"secret": "The secret generated by Azure AD during your confidential app registration",
"endpoint": "https://graph.microsoft.com/v1.0/users"
}
{
"authority": "https://login.microsoftonline.com/<your_tenant_id>",
"client_id": "your_client_id",
"scope": [ "https://graph.microsoft.com/.default" ],
"thumbprint": "790E... The thumbprint generated by Azure AD when you upload your public cert",
"private_key_file": "server.pem",
"endpoint": "https://graph.microsoft.com/v1.0/users"
}
{
"Instance": "https://login.microsoftonline.com/{0}",
"Tenant": "[Enter here the tenantID or domain name for your Azure AD tenant]",
"ClientId": "[Enter here the ClientId for your application]",
"ClientSecret": "[Enter here a client secret for your application]",
"CertificateName": "[Or instead of client secret: Enter here the name of a certificate (from the user cert store) as registered with your application]"
}
class Program
{
static async Task Main(string[] _)
{
// Get the Token acquirer factory instance. By default it reads an appsettings.json
// file if it exists in the same folder as the app (make sure that the
// "Copy to Output Directory" property of the appsettings.json file is "Copy if newer").
TokenAcquirerFactory tokenAcquirerFactory = TokenAcquirerFactory.GetDefaultInstance();
// Configure the application options to be read from the configuration
// and add the services you need (Graph, token cache)
IServiceCollection services = tokenAcquirerFactory.Services;
services.AddMicrosoftGraph();
// By default, you get an in-memory token cache.
// For more token cache serialization options, see https://aka.ms/msal-net-token-cache-serialization
// Resolve the dependency injection.
var serviceProvider = tokenAcquirerFactory.Build();
// ...
}
}
# Pass the parameters.json file as an argument to this Python script. E.g.: python your_py_file.py parameters.json
config = json.load(open(sys.argv[1]))
# Create a preferably long-lived app instance that maintains a token cache.
app = msal.ConfidentialClientApplication(
config["client_id"], authority=config["authority"],
client_credential=config["secret"],
# 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
)
# Pass the parameters.json file as an argument to this Python script. E.g.: python your_py_file.py parameters.json
config = json.load(open(sys.argv[1]))
# Create a preferably long-lived app instance that maintains a token cache.
app = msal.ConfidentialClientApplication(
config["client_id"], authority=config["authority"],
client_credential={"thumbprint": config["thumbprint"], "private_key": open(config['private_key_file']).read()},
# 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
)
# Pass the parameters.json file as an argument to this Python script. E.g.: python your_py_file.py parameters.json
config = json.load(open(sys.argv[1]))
# Create a preferably long-lived app instance that maintains a token cache.
app = msal.ConfidentialClientApplication(
config["client_id"], authority=config["authority"],
client_credential={"thumbprint": config["thumbprint"], "private_key": open(config['private_key_file']).read()},
client_claims = {"client_ip": "x.x.x.x"}
# 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
)