/// <summary>
/// 透過座標取得腳踏車資訊
/// </summary>
/// <param name="talkToken">要發送給誰</param>
/// <param name="lat">緯度</param>
/// <param name="lon">經度</param>
/// <returns></returns>
public string returnBikeData(string talkToken, string lat, string lon)
{
PTXApi getBusLocation = new PTXApi();
string APIUrl = "http://ptx.transportdata.tw/MOTC/v2/Bike/Station/taipei?$format=JSON";
List <YoubikeModel> getData = JsonConvert.DeserializeObject <List <Models.YoubikeModel> >(CallAPIByHMAC(APIUrl));
foreach (var data in getData)
{
var distance = Math.Abs(Geocoding.DistanceOfTwoPoints(Convert.ToDouble(data.StationPosition.PositionLat), Convert.ToDouble(data.StationPosition.PositionLon), Convert.ToDouble(lat), Convert.ToDouble(lon)));
data.Distance = distance;
}
var finalLocation = getData.OrderBy(x => x.Distance).Take(3);
if (finalLocation.Count() > 0)
{
foreach (var item in finalLocation)
{
string stationStatus = BikeStationStatus(item.StationUID, "taipei");
SendRequest.SendLocation(talkToken, item.StationPosition.PositionLat, item.StationPosition.PositionLon, item.StationName.Zh_tw, stationStatus);
}
return("Youbike站台資訊如上");
}
else
{
return("");
}
}
public static async void MakeAnalysisRequest(byte[] image, string id)
{
const string subscriptionKey = "0c4249a2c107480fb7af63c540d73768";
const string uriBase = "https://westcentralus.api.cognitive.microsoft.com/vision/v1.0/analyze";
HttpClient http = new HttpClient();
// Request headers.
http.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", subscriptionKey);
// Request parameters. A third optional parameter is "details".
string requestParameters = "visualFeatures=Categories,Description,Color&language=en";
// Assemble the URI for the REST API Call.
string uri = uriBase + "?" + requestParameters;
HttpResponseMessage response;
try
{
using (ByteArrayContent content = new ByteArrayContent(image))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
SendRequest.SendLine("分析中 ... 請稍候", id);
response = await http.PostAsync(uri, content);
string contentString = await response.Content.ReadAsStringAsync();
Models.VRModel SerlizeData = JsonConvert.DeserializeObject <Models.VRModel>(contentString);
SendRequest.SendLine("圖片分析結果 ... 可能是：\n" + SerlizeData.description.captions.FirstOrDefault().text +
"\n信心指數: " + SerlizeData.description.captions.FirstOrDefault().confidence, id);
}
}
catch (Exception ex)
{
throw;
}
}