/// <summary>
/// 通过ServerID（mediaid）从微信服务器上下载图片，保存到本地，并返回文件名
/// </summary>
/// <param name="mediaid"></param>
/// <returns></returns>
public async Task <string> Get(string mediaid)
{
var mongo = new MongoDBHelper <WeixinImgFileModels>("weixinImgFile");
//查询mongo中是否存储了mediaid对应的照片文件
var doc = await mongo.SelectOneAsync(x => x.MediaId == mediaid);
if (doc != null)
{
return(doc.FileName);
}
//如果文件没有下载过，则下载
//http://file.api.weixin.qq.com/cgi-bin/media/get?access_token=ACCESS_TOKEN&media_id=MEDIA_ID
var queryString = HttpUtility.ParseQueryString(string.Empty);
queryString["access_token"] = await Get();
queryString["media_id"] = mediaid;
var uri = "http://file.api.weixin.qq.com/cgi-bin/media/get?" + queryString;
HttpResponseMessage response;
response = await client.GetAsync(uri);
var msg = await response.Content.ReadAsStreamAsync();
var fileName = response.Content.Headers.ContentDisposition.FileName.Replace("\"", "");
var helper = new ProjecToxfordClientHelper();
var content = await FileHelper.ReadAsync(msg);
FileHelper.SaveFile(content, fileName);
await mongo.InsertAsync(new WeixinImgFileModels()
{
FileName = fileName,
MediaId = mediaid
});
return(fileName);
}
public async Task <HttpResponseMessage> Verify(string faceId1, string faceId2)
{
var key = "verify";
var mongo = new MongoDBHelper <VerifyModels>("faceverify");
//先检查数据库中是否有上次比较的结果
var doc = await mongo.SelectOneAsync(x =>
(x.FaceID1 == faceId1 && x.FaceID2 == faceId2)
);
if (doc != null)
{
var mongoResult = new
{
faceID1 = doc.FaceID1,
faceID2 = doc.FaceID2,
confidence = doc.Confidence,
isIdentical = doc.IsIdentical
}.ToJson();
//var apiResult = doc.ToJson<VerifyModels>();
return(client.CreateHttpResponseMessage(
Request,
new Models.ProjecToxfordResponseModels(mongoResult, HttpStatusCode.OK)));
}
//如果之前的结果没有查询到，则提交牛津查询
var result = await client.PostAsync(
key,
new
{
faceId1 = faceId1,
faceId2 = faceId2
}
);
if (result.StatusCode == HttpStatusCode.OK)
{
var tmp = Newtonsoft.Json.Linq.JObject.Parse(result.Message);
//如果为了加速查询的话，我们采用两次写入
await mongo.InsertAsync(new VerifyModels()
{
FaceID1 = faceId1,
FaceID2 = faceId2,
Confidence = (double)tmp["confidence"],
IsIdentical = (bool)tmp["isIdentical"]
});
await mongo.InsertAsync(new VerifyModels()
{
FaceID1 = faceId2,
FaceID2 = faceId1,
Confidence = (double)tmp["confidence"],
IsIdentical = (bool)tmp["isIdentical"]
});
var resultJson = new
{
faceID1 = faceId1,
faceID2 = faceId2,
confidence = (double)tmp["confidence"],
isIdentical = (bool)tmp["isIdentical"]
}.ToJson();
return(client.CreateHttpResponseMessage(
Request,
new Models.ProjecToxfordResponseModels(resultJson, HttpStatusCode.OK)));
}
return(client.CreateHttpResponseMessage(Request, result));
}
public async Task <HttpResponseMessage> Detect(string weixnmediaid)
{
var key = "detect";
//得到从微信服务器下载的文件名
var fileName = await new WeixinController().Get(weixnmediaid);
var mongo = new MongoDBHelper <DetectResultModels>("facedetect");
//照片之前有没有下载过
var docArr = await mongo.SelectMoreAsync(x => x.FileName == fileName);
if (docArr.Count > 0)
{
var resultJson = docArr.Select(
doc => new
{
faceId = doc.faceId,
filename = doc.FileName,
age = doc.Age,
gender = doc.Gender,
smile = doc.Smile
}
).ToJson();
return(client.CreateHttpResponseMessage(
Request,
new Models.ProjecToxfordResponseModels(resultJson, HttpStatusCode.OK)));
}
//if (docArr != null)
//{
// var apiResult = docArr.ToJson();
// return client.CreateHttpResponseMessage(
// Request,
// new Models.ProjecToxfordResponseModels(apiResult, HttpStatusCode.OK));
//}
//如果Mongo中没有该照片对应的Face信息
var content = await FileHelper.ReadAsync(fileName);
if (content != null)
{
var result = await client.PostAsync(key,
content,
new Dictionary <string, string> {
{ "returnFaceId", "true" },
{ "returnFaceLandmarks", "flase" },
{ "returnFaceAttributes", "age,gender,smile" }
}
);
if (result.StatusCode == HttpStatusCode.OK)
{
var tmpJArr = Newtonsoft.Json.Linq.JArray.Parse(result.Message);
//将牛津结果写入数据库
foreach (var tmp in tmpJArr)
{
await mongo.InsertAsync(new DetectResultModels()
{
FileName = fileName,
faceId = tmp["faceId"] != null ? (string)tmp["faceId"] : "",
Age = tmp["faceAttributes"]["age"] != null ? (double)tmp["faceAttributes"]["age"] : 0,
Gender = tmp["faceAttributes"]["gender"] != null ? (string)tmp["faceAttributes"]["gender"] : "",
Smile = tmp["faceAttributes"]["smile"] != null ? (double)tmp["faceAttributes"]["smile"] : 0
});
}
//重新从牛津读取数据
var resultJson = tmpJArr.Select(x => new
{
faceId = (string)x["faceId"],
age = x["faceAttributes"]["age"] != null?(double)x["faceAttributes"]["age"]:0,
gender = x["faceAttributes"]["gender"] != null? (string)x["faceAttributes"]["gender"]:"",
smile = x["faceAttributes"]["smile"] != null ? (double)x["faceAttributes"]["smile"] : 0,
fileName = fileName
}).ToJson();
return(client.CreateHttpResponseMessage(
Request,
new Models.ProjecToxfordResponseModels(resultJson, HttpStatusCode.OK)));
}
}
throw new HttpResponseException(HttpStatusCode.BadRequest);
}