我正在尝试编写一个控制台应用来使用Google预测。我无法弄清楚我做错了什么。我一直得到“权限不足”。我怎样才能解决这个问题。如何才能看到实际生成的请求?
//Desired Request: GET https://www.googleapis.com/prediction/v1.6/projects/1043149216958/trainedmodels/list?
// pageToken=%22%22&maxResults=5&key={YOUR_API_KEY}
public async Task Run()
{
UserCredential credential;
using (var stream = new FileStream("Aggreate Volume 1 Client Secret.json", FileMode.Open, FileAccess.Read))
{
credential = await GoogleWebAuthorizationBroker.AuthorizeAsync(
GoogleClientSecrets.Load(stream).Secrets,
new[] {PredictionService.Scope.DevstorageFullControl},
"user", CancellationToken.None );
}
var service =
new PredictionService(
new BaseClientService.Initializer() {
HttpClientInitializer = credential,
ApplicationName = "Aggregate Volume 2"
}
);
try
{
var response = service.Trainedmodels.List().Execute();
}
catch (Exception e)
{
Console.WriteLine("An error occurred: " + e.Message);
}
}
答案 0 :(得分:0)
我通过做出一些改变来实现这一目标。在Google Developers Console中,我获得了以下信息(我选择使项目名称和产品名称相同。它们可能不同。):
API: Prediction API v1.6
Project Name: Aggregate Volumes MTFE
Project ID: golden-sentry-848
Project No: 1043149216958
Product Name: Aggregate Volumes MTFE
Predictive Model: mtfe
API版本非常重要。已安装的软件包和使用语句都必须同意。包下载是
Install-Package Google.Apis.Prediction.v1_6
并且所需的using语句是:
using Google.Apis.Auth.OAuth2;
using Google.Apis.Prediction.v1_6;
using Google.Apis.Prediction.v1_6.Data;
using Google.Apis.Services;
有一些命名问题让我感到困惑。初始化预测服务时,ApplicationName是您在Google Developers Console中指定的产品名称。 service.Trainedmodels.List中所需的参数是在Google Developers Console中创建项目时分配的项目编号。这是代码:
public async Task
Run() {
UserCredential credential;
using (var stream = new FileStream("Aggregate Volumes MTFE Client Secret.json", FileMode.Open, FileAccess.Read)) {
credential = await GoogleWebAuthorizationBroker.AuthorizeAsync(
GoogleClientSecrets.Load(stream).Secrets,
new[] {PredictionService.Scope.Prediction},
"user", CancellationToken.None );
}
var service =
new PredictionService(
new BaseClientService.Initializer() {
HttpClientInitializer = credential,
ApplicationName = "Aggregate Volumes MTFE"
}
);
try {
var pre = service.Trainedmodels.List("1043149216958");
var response = pre.Execute();
}
catch (Exception e) {
Console.WriteLine("An error occurred: " + e.Message);
}
}