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ImageQueryByTaskIdsDemo.cs
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ImageQueryByTaskIdsDemo.cs
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using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.Net.Http;
namespace Com.Netease.Is.Antispam.Demo
{
class ImageQueryByTaskIdsDemo
{
public static void imageQueryByTaskIds()
{
/** 产品密钥ID,产品标识 */
String secretId = "your_secret_id";
/** 产品私有密钥,服务端生成签名信息使用,请严格保管,避免泄露 */
String secretKey = "your_secret_key";
/** 业务ID,易盾根据产品业务特点分配 */
String businessId = "your_business_id";
/** 易盾反垃圾云服务图片离线检测结果获取接口地址 */
String apiUrl = "http://as.dun.163.com/v1/image/query/task";
Dictionary<String, String> parameters = new Dictionary<String, String>();
long curr = (long)(DateTime.UtcNow - new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc)).TotalMilliseconds;
String time = curr.ToString();
// 1.设置公共参数
parameters.Add("secretId", secretId);
parameters.Add("businessId", businessId);
parameters.Add("version", "v1");
parameters.Add("timestamp", time);
parameters.Add("nonce", new Random().Next().ToString());
// 2.设置私有参数
ISet<String> taskIds = new HashSet<String>();
taskIds.Add("3898f9e189404ea98fb20e77d11b69e3");
taskIds.Add("3f343b8947a24a6987cba8ef5ea6534f");
parameters.Add("taskIds", JArray.FromObject(taskIds).ToString());
// 3.生成签名信息
String signature = Utils.genSignature(secretKey, parameters);
parameters.Add("signature", signature);
// 4.发送HTTP请求
HttpClient client = Utils.makeHttpClient();
String result = Utils.doPost(client, apiUrl, parameters, 10000);
if (result != null)
{
JObject ret = JObject.Parse(result);
int code = ret.GetValue("code").ToObject<Int32>();
String msg = ret.GetValue("msg").ToObject<String>();
if (code == 200)
{
JArray array = (JArray)ret.SelectToken("result");
foreach (var item in array)
{
JObject tmp = (JObject)item;
String name =tmp.GetValue("name")!=null?tmp.GetValue("name").ToObject<String>():"";
String taskId = tmp.GetValue("taskId").ToObject<String>();
JArray labels = (JArray)tmp.SelectToken("labels");
Console.WriteLine(String.Format("taskId={0},name={1},labels:", taskId, name));
int maxLevel = -1;
// 产品需根据自身需求,自行解析处理,本示例只是简单判断分类级别
foreach (var lable in labels)
{
JObject lableData = (JObject)lable;
int label = lableData.GetValue("label").ToObject<Int32>();
int level = lableData.GetValue("level").ToObject<Int32>();
double rate = lableData.GetValue("rate").ToObject<Double>();
Console.WriteLine(String.Format("label:{0}, level={1}, rate={2}", label, level, rate));
maxLevel = level > maxLevel ? level : maxLevel;
}
switch (maxLevel)
{
case 0:
Console.WriteLine("#图片查询结果:最高等级为\"正常\"\n");
break;
case 2:
Console.WriteLine("#图片查询结果:最高等级为\"确定\"\n");
break;
default:
break;
}
}
}
else
{
Console.WriteLine(String.Format("ERROR: code={0}, msg={1}", code, msg));
}
}
else
{
Console.WriteLine("Request failed!");
}
}
}
}