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)); } }