// train:モデル作成、 predict:モデル適用
public Upload(InputFormData <UploadRequestParam> paras)
{
SettingData setting = SettingDataCommand.LoadFile(paras.SettingFile);
ApiKey = setting.ApiKey;
ApiSecret = setting.ApiSecret;
formData.Add(new StringContent(ApiKey), "key");
formData.Add(new StringContent(ApiSecret), "secret");
formData.Add(new StringContent(paras.RequestParam.Method), "method");
}
public ModeleCreate(InputFormData <ModelCreateRequestRaram> iData)
{
SettingData setting = SettingDataCommand.LoadFile(iData.SettingFile);
ApiKey = setting.ApiKey;
ApiSecret = setting.ApiSecret;
modelCreateReqData.Key = ApiKey;
modelCreateReqData.Secret = ApiSecret;
modelCreateReqData.WaitTime = (int)TimeOut;
}
public Summary(InputFormData <SummaryRequestParam> paras)
{
SettingData setting = SettingDataCommand.LoadFile(paras.SettingFile);
ApiKey = setting.ApiKey;
ApiSecret = setting.ApiSecret;
summaryReqData.Key = ApiKey;
summaryReqData.Secret = ApiSecret;
summaryReqData.WaitTime = (int)TimeOut;
}
public static SettingData LoadFile(FileInfo file)
{
SettingData setting = new SettingData();
if (file.Exists)
{
string data = TextUtility.ReadTXT(file.FullName, Encoding.GetEncoding("utf-8"));
setting = JsonUtility.Deserialize <SettingData>(data);
}
return(setting);
}
public static void UpdateFile(FileInfo file, SettingData data)
{
string json = JsonUtility.Serialize(data);
TextUtility.WriteTXT(file.FullName, json, Encoding.GetEncoding("utf-8"));
}
