using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json.Linq;
using Newtonsoft.Json;
namespace WebManager
{
public class WebResult
{
#region
///
/// 数据定义
///
private String webServer_IP = "";
private String webServer_Port = "";
private String webServer_Path = "";
private String Url = "";
private const String Post = "Post";
private const String Content_Type= "Content-Type:application/json";
#endregion
///
/// 构造函数
///
/// WebServer的IP地址
/// WebServer的端口号
public WebResult(String ws_ip,String ws_port)
{
this.webServer_IP = ws_ip;
this.webServer_Port = ws_port;
//更新Web网址
Update_Url();
}
///
/// 更新Web网址
///
private void Update_Url()
{
this.webServer_Path = "/" + this.webServer_Path;
this.Url = "http://" + this.webServer_IP + ":" + this.webServer_Port + this.webServer_Path;
}
///
/// WebServer的IP地址
///
public String WebServer_IP
{
//get { return this.webServer_IP; }
set
{
this.webServer_IP = value;
}
}
///
/// WebServer的端口号
///
public String WebServer_Port
{
//get { return this.webServer_IP; }
set
{
this.webServer_Port = value;
}
}
///
/// 向WebServer请求数据及返回结果
///
/// 请求数据的JSON
/// 返回结果的JSON
private String RequestString(String postString)
{
try
{
String res = HttpRequestHelper.DoRequest(this.Url, Post, Content_Type, postString);
return res;
}
catch
{
return "";
}
}
///
/// 计算原始图像偏移角度及方向
///
/// 图片路径
/// json字符串
public void Img_OffsetAngle_Direction(String imagePath, out double degree, out int direction, out int state)
{
this.webServer_Path = "test1";
Update_Url();
JObject json = new JObject();
json.Add("img_path", imagePath);
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret= (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("img_name") != null && jret.Property("img_name").ToString() != "")
{
JObject jname = JObject.Parse(jret["img_name"].ToString());
degree = Convert.ToDouble(jname["degree"].ToString());
direction = Convert.ToInt32(jname["direction"].ToString());
state = Convert.ToInt32(jname["state"].ToString());
}
else
{
state = 0;
direction = 0;
degree = 0;
}
}
///
/// 计算切割点位置
///
/// 图片路径
/// json字符串
public void Img_Cut_Position(String imagePath, out double offsetx, out double offsety, out int state)
{
this.webServer_Path = "test2";
Update_Url();
JObject json = new JObject();
json.Add("img_path", imagePath);
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret = (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("img_name") != null && jret.Property("img_name").ToString() != "")
{
JObject jname = JObject.Parse(jret["img_name"].ToString());
JArray jlocation = JArray.Parse(jname["location"].ToString());
offsetx = Convert.ToDouble(jlocation[0].ToString());
offsety = Convert.ToDouble(jlocation[1].ToString());
state = Convert.ToInt32(jname["state"].ToString());
}
else
{
state = 0;
offsetx = 0;
offsety = 0;
}
}
///
/// 是否切割成功验证
///
/// 切割前图像路径
/// 切割后图像路径
/// json字符串
public void Img_Cut_Success(String imageBefore, String imageAfter, out int state)
{
this.webServer_Path = "test3";
Update_Url();
JObject json = new JObject();
json.Add("img_before_path", imageBefore);
json.Add("img_after_path", imageAfter);
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret = (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("state") != null && jret.Property("state").ToString() != "")
{
state = Convert.ToInt32(jret["state"].ToString());
}
else
{
state = 0;
}
}
///
/// 计算切割后图像梯形区域上边中心点坐标
///
/// 图片路径
/// json字符串
public void Img_Trapezoid_Top_Center_Position(String imagePath, out double offsetx, out double offsety, out int state)
{
this.webServer_Path = "test4";
Update_Url();
JObject json = new JObject();
json.Add("img_path", imagePath);
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret = (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("img_name") != null && jret.Property("img_name").ToString() != "")
{
JObject jname = JObject.Parse(jret["img_name"].ToString());
JArray jlocation = JArray.Parse(jname["top_center"].ToString());
offsetx = Convert.ToDouble(jlocation[0].ToString());
offsety = Convert.ToDouble(jlocation[1].ToString());
state = Convert.ToInt32(jname["state"].ToString());
}
else
{
state = 0;
offsetx = 0;
offsety = 0;
}
}
///
/// 自动对焦
///
/// 一组图片路径
/// json字符串
public String Img_Auto_Focus(List imagePath)
{
this.webServer_Path = "test5";
Update_Url();
JObject json = new JObject();
for(int i=0;i
/// 自动消像散
///
/// 一组图片路径
/// json字符串
public String Img_Auto_Stigmatic(List imagePath)
{
this.webServer_Path = "test6";
Update_Url();
JObject json = new JObject();
for (int i = 0; i < imagePath.Count; i++)
{
json.Add("img_path" + i.ToString(), imagePath[i]);
}
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret = (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("img_path") != null && jret.Property("img_path").ToString() != "")
{
return jret["img_path"].ToString();
}
else
{
return "";
}
}
///
/// 计算切割面区域中心坐标,以及偏移角度及方向
///
/// 图片路径
/// json字符串
public void Img_Center_Position_OffsetAngle_Direction(String imagePath, out double offsetx, out double offsety, out double degree, out int direction, out int state)
{
this.webServer_Path = "test7";
Update_Url();
JObject json = new JObject();
json.Add("img_path", imagePath);
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret = (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("img_name") != null && jret.Property("img_name").ToString() != "")
{
JObject jname = JObject.Parse(jret["img_name"].ToString());
JArray jlocation = JArray.Parse(jname["center"].ToString());
offsetx = Convert.ToDouble(jlocation[0].ToString());
offsety = Convert.ToDouble(jlocation[1].ToString());
state = Convert.ToInt32(jname["state"].ToString());
degree = Convert.ToDouble(jname["degree"].ToString());
direction = Convert.ToInt32(jname["direction"].ToString());
}
else
{
state = 0;
direction = 0;
degree = 0;
offsetx = 0;
offsety = 0;
}
}
///
/// 测量尺寸
///
/// 图片路径
/// 放大倍数
/// 一像素代表**mm/um
/// json字符串
public void Img_Measure_Size(String imagePath, String ratio, String size, out int state)
{
this.webServer_Path = "test8";
Update_Url();
JObject json = new JObject();
json.Add("img_path", imagePath);
json.Add("ratio", ratio);
json.Add("size", size);
String res = RequestString(JsonConvert.SerializeObject(json));
JObject jret = (JObject)JsonConvert.DeserializeObject(res);
if (jret != null && jret.Property("img_name") != null && jret.Property("img_name").ToString() != "")
{
JObject jstate = JObject.Parse(jret["img_name"].ToString());
state = Convert.ToInt32(jstate["state"].ToString());
}
else
{
state = 0;
}
}
}
}