public async Task <IActionResult> MatchingRichiesteByRisIdList(string richid, string cliId, int[] richlistRisIdList)
{
try
{
var data = await _richiesteManager.GetMatchingRichiesteListByRisIdAsync(richid, cliId, richlistRisIdList);
if (data == null)
{
return(null);
}
// creating the azioni object passing the related details and description.
var azioniDto = _utilityManager.GetAzioniDtoObject(User, "get", "mathing richieste");
// logging the activity record by the user.
await _azioniManager.AzioniInsert(azioniDto);
return(Ok(data));
}
catch (Exception x)
{
// Code block of Exception handling and logging into log_operazione table.
var errorObj = await _utilityManager.ReturnErrorObj(x, User, "Get Matching Richieste");
// Returning the error object.
return(BadRequest(errorObj));
}
}
public async Task <ActionResult> LaunchMachineLearning(string richId, string clientId)
{
try
{
// Creating the empty list of ris_id
List <int> risIdList = new List <int>();
// Creating the custom object to pass as the body to call the API.
LaunchMLBody launchMLBody = new LaunchMLBody
{
// Initaiting the static value of id_model
id_model = "six_generations",
// Initaiting the static value of filter_level
candidates_filter_level = "cv inviati",
// Initaiting the static value of n_candidtates.
n_candidates = 100
};
// creating the object of HTTPClient.
var client = new HttpClient();
// Initiating the base address of the API where the API is hosted.
client.BaseAddress = new Uri("http://192.168.1.135:5000/");
var asssc = AppSettingsDto.HostName;
var h = AppSettingsDto.APIDomainName;
client.BaseAddress = new Uri(AppSettingsDto.APIDomainName);
// Converting the custom message bosy object to JSon object.
string message = JsonConvert.SerializeObject(launchMLBody);
// Declaring and initiating the request to call the API.
HttpRequestMessage request = new HttpRequestMessage(HttpMethod.Post, "api/jobs/" + richId + "/rankings");
// Initiating the post bosy into the content
request.Content = new StringContent(message, Encoding.UTF8, "application/json");
// Initiating the request header.
request.Headers.Add("accept", "application/json");
// Sending the API request
HttpResponseMessage response = client.SendAsync(request).Result; // Blocking call! Program will wait here until a response is received or a timeout occurs.
using (HttpContent content = response.Content)
{
// Retrieving and stroing the result of the API
var json = content.ReadAsStringAsync();
// Converting the retrieved result to JToken object.
var jToken = JToken.Parse(json.Result);
// Retreving the desired result portion from the whole returned result.
var resultObj = jToken[1].ToObject <RootObject>();
// Storing the ris_id list from the retrieved result.
var candidates = resultObj.candidates;
// Loop through the all ris_id of the retreived list.
foreach (var item in candidates)
{
// Adding the each ris_id to the earlier defined ris_id list.
risIdList.Add(Convert.ToInt32(item.ris_id));
}
// Sending data to match richieste
var data = await _richiesteManager.GetMatchingRichiesteListByRisIdAsync(richId, clientId, risIdList.ToArray());
if (data == null)
{
return(null);
}
// creating the azioni object passing the related details and description.
var azioniDto = _utilityManager.GetAzioniDtoObject(User, "get", "machine learning");
// logging the activity record by the user.
await _azioniManager.AzioniInsert(azioniDto);
return(Ok(data));
}
}
catch (Exception x)
{
// Code block of Exception handling and logging into log_operazione table.
var errorObj = await _utilityManager.ReturnErrorObj(x, User, "Launch Machine learning");
// Returning the error object.
return(BadRequest(errorObj));
}
}
