public void FuzzyMatchingClientPerfomanceTest(List <string> dataset, int[] testDataSizes, string testSentence)
{
foreach (var dataSize in testDataSizes)
{
// read dataset
var tmp = dataset.Take(dataSize).ToList();
// initialize clients
var preprocessorClient = new PreprocessorClient();
var runtimeClient = new RuntimeClient();
// process dataset
var processedDataset = preprocessorClient.ProcessDataset(tmp);
// performance test
var start = DateTime.Now;
runtimeClient.MatchEntities(processedDataset, dataset, testSentence, MatchingMethod.NoMatchIndices);
var end = DateTime.Now;
var ts = end - start;
// print time
Console.WriteLine("Elapsed Time for the program with size {0} is {1} s", dataSize, ts.TotalSeconds);
}
}
void Start()
{
logger = new AQALogger();
if (AutomatedQARuntimeSettings.hostPlatform == HostPlatform.Cloud &&
AutomatedQARuntimeSettings.buildType == BuildType.FullBuild)
{
DontDestroyOnLoad(this.gameObject);
RecordedPlaybackPersistentData.SetRecordingMode(RecordingMode.Playback);
DeviceFarmConfig dfConf = CloudTestManager.Instance.GetDeviceFarmConfig();
Application.quitting += () =>
{
# if UNITY_EDITOR
logger.Log($"Counters generated - {CloudTestManager.Instance.GetTestResults().ToString()}");
#else
CloudTestManager.UploadCounters();
#endif
RuntimeClient.LogTestCompletion(dfConf.testName);
};
// Optionally us a settings json file other than the default.
TextAsset settings = Resources.Load <TextAsset>(Path.GetFileNameWithoutExtension(dfConf.settingsFileToLoad));
if (!string.IsNullOrEmpty(dfConf.settingsFileToLoad) && settings != null && !string.IsNullOrEmpty(settings.text))
{
logger.Log($"Updating default Automated QA settings file to {dfConf.settingsFileToLoad}");
AutomatedQARuntimeSettings.AutomatedQaSettingsFileName = dfConf.settingsFileToLoad;
AutomatedQARuntimeSettings.RefreshConfig();
}
RunTest(dfConf.testName);
}
/// <summary>
/// Setup test with cloud recordings and prepare play back
/// </summary>
/// <param name="testName"></param>
public static void SetupCloudUTFTests(string testName)
{
if (AutomatedQARuntimeSettings.hostPlatform == HostPlatform.Cloud &&
AutomatedQARuntimeSettings.buildType == BuildType.UnityTestRunner)
{
// testName and recordingName have a 1-1 mapping.
RecordedPlaybackPersistentData.SetRecordingMode(RecordingMode.Playback);
RuntimeClient.DownloadRecording(testName, RecordedPlaybackPersistentData.GetRecordingDataFilePath());
}
}
public SerializationTestEnvironment(Action <IClientBuilder> configureClientBuilder = null)
{
var host = new HostBuilder()
.UseOrleansClient((ctx, clientBuilder) =>
{
clientBuilder.UseLocalhostClustering();
configureClientBuilder?.Invoke(clientBuilder);
}).Build();
this.Client = host.Services.GetRequiredService <IClusterClient>();
this.RuntimeClient = this.Client.ServiceProvider.GetRequiredService <OutsideRuntimeClient>();
RuntimeClient.ConsumeServices();
}
public void MultipleMatchTest(List <string> dataset, List <string> testSentencesList, List <MatchResult> expected)
{
// initialize clients
var preprocessorClient = new PreprocessorClient();
var runtimeClient = new RuntimeClient();
// process dataset
var processedDataset = preprocessorClient.ProcessDataset(dataset);
// exact matches
var index = 0;
for (; index < 3; index++)
{
var resultList = runtimeClient.MatchEntities(processedDataset, dataset, testSentencesList[index], MatchingMethod.NoMatchIndices, threshold: 0.8f);
var result = resultList[0];
Assert.Equal(1f, result.SimilarityScore, 4);
}
// altering sentence to decrease similarity scores
testSentencesList[3] = testSentencesList[3].Remove(testSentencesList[3].Length - 2, 2).Insert(0, "Testing ") + " last word";
testSentencesList[4] = testSentencesList[4].Insert(0, "The ");
testSentencesList[5] = testSentencesList[5].Remove(testSentencesList[5].Length - 2, 2) + " nw";
// close matches
for (; index < 6; index++)
{
var resultList = runtimeClient.MatchEntities(processedDataset, dataset, testSentencesList[index], MatchingMethod.NoMatchIndices, threshold: 0.8f);
var result = resultList[0];
Assert.InRange(result.SimilarityScore, 0.5f, 1f);
}
// altering sentences heavily
testSentencesList[6] = testSentencesList[6].Replace(testSentencesList[6][0], 'x').Insert(0, "Testing ");
var halfLength = testSentencesList[7].Length / 2;
testSentencesList[7] = testSentencesList[7].Insert(0, "The ").Insert(halfLength, "other words") + " more words";
var thirdLength = testSentencesList[8].Length / 3;
testSentencesList[8] = testSentencesList[8].Remove(0, thirdLength) + " added words.";
// far matches
for (; index < 9; index++)
{
var resultList = runtimeClient.MatchEntities(processedDataset, dataset, testSentencesList[index], MatchingMethod.NoMatchIndices, threshold: 0.5f);
var result = resultList[0];
Assert.InRange(result.SimilarityScore, 0f, 1f);
}
}
private static ServiceProvider StartNew <TConnection>(
TConnection connection,
out ConnectionHandler connectionHandler,
out RuntimeClient runtimeClient) where TConnection : IDuplexPipe
{
var chan = Channel.CreateUnbounded <Message>();
var services = new ServiceCollection()
.AddHagar(hagar => hagar.AddAssembly(typeof(Program).Assembly))
.AddSingleton <Catalog>()
.AddSingleton <ProxyFactory>()
.AddSingleton(sp => ActivatorUtilities.CreateInstance <ConnectionHandler>(sp, connection, chan.Writer))
.AddSingleton(sp => ActivatorUtilities.CreateInstance <RuntimeClient>(sp, chan.Reader))
.AddSingleton <IRuntimeClient>(sp => sp.GetRequiredService <RuntimeClient>())
.BuildServiceProvider();
connectionHandler = services.GetRequiredService <ConnectionHandler>();
runtimeClient = services.GetRequiredService <RuntimeClient>();
return(services);
}
public void SingleMatchTest(List <string> dataset, string sentenceToMatch, MatchResult expected)
{
// initialize clients
var preprocessorClient = new PreprocessorClient();
var runtimeClient = new RuntimeClient();
// process dataset
var processedDataset = preprocessorClient.ProcessDataset(dataset);
// runtime
var resultList = runtimeClient.MatchEntities(processedDataset, dataset, sentenceToMatch, MatchingMethod.NoMatchIndices);
var result = resultList[0];
// assert
Assert.Equal(result.DatabaseMatchInfo.MatchText, expected.DatabaseMatchInfo.MatchText);
Assert.Equal(result.DatabaseMatchInfo.MatchIndex, expected.DatabaseMatchInfo.MatchIndex);
// print result
Console.WriteLine("sentence to match : {0}", sentenceToMatch);
Console.WriteLine("Matched Sentence : {0}", result.DatabaseMatchInfo.MatchText);
Console.WriteLine("Matched Sentence Score : {0}", result.SimilarityScore);
Console.WriteLine("Matched Sentence Index : {0}", result.DatabaseMatchInfo.MatchIndex);
}
public void TokenMatchingTest(List <string> dataset, string testSentence, MatchResult expected)
{
// initialize clients
var preprocessorClient = new PreprocessorClient();
var runtimeClient = new RuntimeClient();
// process dataset
var processedDataset = preprocessorClient.ProcessDataset(dataset);
// runtime
var resultList = runtimeClient.MatchEntities(processedDataset, dataset, testSentence, MatchingMethod.PreprocessInputSentence, threshold: 0.80f);
var result = resultList.OrderByDescending(r => r.SimilarityScore).FirstOrDefault();
// asserting that the right entity was correctly found
// This is not a perfect test for this dataset since some entities are subsets of each other
Assert.Equal(result.DatabaseMatchInfo.MatchText, expected.DatabaseMatchInfo.MatchText);
Assert.Equal(result.DatabaseMatchInfo.MatchIndex, expected.DatabaseMatchInfo.MatchIndex);
// print result
Console.WriteLine("sentence to match : {0}", testSentence);
Console.WriteLine("Matched Sentence : {0}", result.DatabaseMatchInfo.MatchText);
Console.WriteLine("Matched Sentence Score : {0}", result.SimilarityScore);
Console.WriteLine("Matched Sentence Index : {0}", result.DatabaseMatchInfo.MatchIndex);
}
/// <summary>
/// Get a timeout of responses on this Orleans client.
/// </summary>
/// <returns>The response timeout.</returns>
/// <exception cref="InvalidOperationException">Thrown if Orleans runtime is not correctly initialized before this call.</exception>
public static TimeSpan GetResponseTimeout()
{
CheckInitialized();
return(RuntimeClient.GetResponseTimeout());
}
/// <summary>
/// Set a timeout for responses on this Orleans client.
/// </summary>
/// <param name="timeout"></param>
/// <exception cref="InvalidOperationException">Thrown if Orleans runtime is not correctly initialized before this call.</exception>
public static void SetResponseTimeout(TimeSpan timeout)
{
CheckInitialized();
RuntimeClient.SetResponseTimeout(timeout);
}
public void SendRequest(GrainReference target, InvokeMethodRequest request, TaskCompletionSource <object> context, Action <Message, TaskCompletionSource <object> > callback, string debugContext = null, InvokeMethodOptions options = InvokeMethodOptions.None, string genericArguments = null)
{
var message = RuntimeClient.CreateMessage(request, options);
SendRequestMessage(target, message, context, callback, debugContext, options, genericArguments);
}
public MatchIndexResolutionTests()
{
_preprocessorClient = new PreprocessorClient();
_runtimeClient = new RuntimeClient();
}
async Task InvokeBatchExecutionService(string accountNameInput, string accountKeyInput, string containerInput, string inputBlobName, string inputFileName, OutputObject outputObj)
{
// Upload file to Blob if pathFile given
if (isHasInput && input_radio_File.Checked)
{
accountNameInput = outputObj.AccountName;
if (string.IsNullOrEmpty(accountNameInput))
{
//Console.WriteLine("Upload Error");
ShowError("Please enter Account Name");
return;
}
accountKeyInput = outputObj.AccountKey;
if (string.IsNullOrEmpty(accountKeyInput))
{
//Console.WriteLine("Upload Error");
ShowError("Please enter Account Key");
return;
}
containerInput = outputObj.Container;
if (string.IsNullOrEmpty(containerInput))
{
//Console.WriteLine("Upload Error");
ShowError("Please enter Container Name");
return;
}
if (string.IsNullOrEmpty(_fileUpload.FileName))
{
//Console.WriteLine("Upload Error");
ShowError("Please choose input file");
return;
}
inputBlobName = inputFileName;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "disable", "$(\"#btnclear\").prop(\"disabled\",true);", true);
bool uploadresult = await uploadBigFile(accountNameInput, accountKeyInput, containerInput, inputFileName);
//$("#btnclear").prop("disabled",true)
if (!uploadresult)
{
//Console.WriteLine("Upload Error");
ShowError("Upload Error");
return;
}
}
// First collect and fill in the URI and access key for your web service endpoint.
// These are available on your service's API help page.
var endpointUri = paramObj.Url;
string accessKey = Crypto.DecryptStringAES(paramObj.APIKey);
// Create an Azure Machine Learning runtime client for this endpoint
var runtimeClient = new RuntimeClient(endpointUri, accessKey);
// Define the request information for your batch job. This information can contain:
// -- A reference to the AzureBlob containing the input for your job run
// -- A set of values for global parameters defined as part of your experiment and service
// -- A set of output blob locations that allow you to redirect the job's results
// NOTE: This sample is applicable, as is, for a service with explicit input port and
// potential global parameters. Also, we choose to also demo how you could override the
// location of one of the output blobs that could be generated by your service. You might
// need to tweak these features to adjust the sample to your service.
//
// All of these properties of a BatchJobRequest shown below can be optional, depending on
// your service, so it is not required to specify all with any request. If you do not want to
// use any of the parameters, a null value should be passed in its place.
// Define the reference to the blob containing your input data. You can refer to this blob by its
// connection string / container / blob name values; alternatively, we also support references
// based on a blob SAS URI
string ext = ".csv";//inputBlobName.Substring(inputBlobName.LastIndexOf("."));
BlobReference inputBlob;
if (isHasInput)
{
inputBlob = BlobReference.CreateFromConnectionStringData(
connectionString: string.Format("DefaultEndpointsProtocol=https;AccountName={0};AccountKey={1}", accountNameInput, accountKeyInput),
containerName: containerInput,
blobName: inputBlobName);
ext = inputBlobName.Substring(inputBlobName.LastIndexOf("."));
}
else inputBlob = null;
// If desired, one can override the location where the job outputs are to be stored, by passing in
// the storage account details and name of the blob where we want the output to be redirected to.
var outputLocations = new Dictionary<string, BlobReference>();
foreach (var keyvalue in outputObj.NodeOutputName)
{
outputLocations.Add(
keyvalue.Key,
BlobReference.CreateFromConnectionStringData(
connectionString: string.Format("DefaultEndpointsProtocol=https;AccountName={0};AccountKey={1}", outputObj.AccountName, outputObj.AccountKey),
containerName: outputObj.Container,
blobName: !outputObj.isAddTime ? keyvalue.Value + "_" + DateTime.Now.ToString("MMddyy_hhmmss") + ext : keyvalue.Value + ext
));
};
// If applicable, you can also set the global parameters for your service
var globalParameters = new Dictionary<string, string>();
foreach(var global in paramObj.listGlobalParameter)
{
string columnValue = "";
var control = FindControl(global.Name);
if (control is TextBox)
{
TextBox txt = control as TextBox;
if (txt.Text != "")
columnValue = txt.Text;
}
else if (control is DropDownList)
{
DropDownList lb = control as DropDownList;
if (lb.SelectedIndex != -1)
columnValue = lb.SelectedValue;
}
if (control is RadioButtonList)
{
RadioButtonList ct = control as RadioButtonList;
if (ct.SelectedIndex != -1)
columnValue = ct.SelectedValue;
}
globalParameters.Add(global.Name, columnValue);
}
var jobRequest = new BatchJobRequest
{
Input = inputBlob,
GlobalParameters = globalParameters,
Outputs = outputLocations
};
try
{
// Register the batch job with the system, which will grant you access to a job object
BatchJob job = await runtimeClient.RegisterBatchJobAsync(jobRequest);
AddJobIdCookie(job.Id, job.CreatedAt.ToLocalTime().ToString());
// Start the job to allow it to be scheduled in the running queue
await job.StartAsync();
//ScriptManager.RegisterStartupScript(Page, typeof(Page), "OpenWindow", "window.open('Status.aspx?jobid=" + job.Id + "');", true);
Response.Redirect("Status.aspx?jobid=" + job.Id);
// Wait for the job's completion and handle the output
//BatchJobStatus jobStatus = await job.WaitForCompletionAsync();
//while (job.CheckStatus().JobState != JobState.Finished && job.CheckStatus().JobState != JobState.Failed)
//{
// Console.WriteLine(job.Id + ":" + job.CreatedAt.ToLocalTime() + job.CheckStatus().JobState);
//}
//BatchJobStatus jobStatus = job.CheckStatus();
////job.CreatedAt
//if (jobStatus.JobState == JobState.Finished)
//{
// // Process job outputs
// //Console.WriteLine(@"Job {0} has completed successfully and returned {1} outputs", job.Id, jobStatus.Results.Count);
// lblJobIdSuccess.Text = job.Id;
// ScriptManager.RegisterStartupScript(Page, Page.GetType(), "CompleteSuccess", "$('#CompleteSuccess').modal();", true);
// foreach (var output in jobStatus.Results)
// {
// //Console.WriteLine(@"\t{0}: {1}", output.Key, output.Value.AbsoluteUri);
// Response.Redirect(output.Value.AbsoluteUri);
// }
//}
//else if (jobStatus.JobState == JobState.Failed)
//{
// // Handle job failure
// //Console.WriteLine(@"Job {0} has failed with this error: {1}", job.Id, jobStatus.Details);
// txtresultModal.Text = jobStatus.Details;
// ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
//}
}
catch (ArgumentException ex)
{
//Console.WriteLine("Argument {0} is invalid: {1}", aex.ParamName, aex.Message);
//txtresultModal.Text = ex.Message;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
ShowError(ex.Message);
}
catch (RuntimeException runtimeError)
{
//Console.WriteLine("Runtime error occurred: {0} - {1}", runtimeError.ErrorCode, runtimeError.Message);
//Console.WriteLine("Error details:");
string error = "";
foreach (var errorDetails in runtimeError.Details)
{
error += string.Format("\t{0} - {1}", errorDetails.Code, errorDetails.Message);
}
//txtresultModal.Text = error;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
ShowError(error);
}
catch (Exception ex)
{
//Console.WriteLine("Unexpected error occurred: {0} - {1}", ex.GetType().Name, ex.Message);
//txtresultModal.Text = ex.Message;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
ShowError(ex.Message);
}
}
async Task InvokeBatchExecutionService(string accountNameInput, string accountKeyInput, string containerInput, string inputBlobName, string inputFileName, OutputObject outputObj)
{
// Upload file to Blob if pathFile given
if (isHasInput && input_radio_File.Checked)
{
accountNameInput = outputObj.AccountName;
if (string.IsNullOrEmpty(accountNameInput))
{
//Console.WriteLine("Upload Error");
ShowError("Please enter Account Name");
return;
}
accountKeyInput = outputObj.AccountKey;
if (string.IsNullOrEmpty(accountKeyInput))
{
//Console.WriteLine("Upload Error");
ShowError("Please enter Account Key");
return;
}
containerInput = outputObj.Container;
if (string.IsNullOrEmpty(containerInput))
{
//Console.WriteLine("Upload Error");
ShowError("Please enter Container Name");
return;
}
if (string.IsNullOrEmpty(_fileUpload.FileName))
{
//Console.WriteLine("Upload Error");
ShowError("Please choose input file");
return;
}
inputBlobName = inputFileName;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "disable", "$(\"#btnclear\").prop(\"disabled\",true);", true);
bool uploadresult = await uploadBigFile(accountNameInput, accountKeyInput, containerInput, inputFileName);
//$("#btnclear").prop("disabled",true)
if (!uploadresult)
{
//Console.WriteLine("Upload Error");
ShowError("Upload Error");
return;
}
}
// First collect and fill in the URI and access key for your web service endpoint.
// These are available on your service's API help page.
var endpointUri = paramObj.Url;
string accessKey = Crypto.DecryptStringAES(paramObj.APIKey);
// Create an Azure Machine Learning runtime client for this endpoint
var runtimeClient = new RuntimeClient(endpointUri, accessKey);
// Define the request information for your batch job. This information can contain:
// -- A reference to the AzureBlob containing the input for your job run
// -- A set of values for global parameters defined as part of your experiment and service
// -- A set of output blob locations that allow you to redirect the job's results
// NOTE: This sample is applicable, as is, for a service with explicit input port and
// potential global parameters. Also, we choose to also demo how you could override the
// location of one of the output blobs that could be generated by your service. You might
// need to tweak these features to adjust the sample to your service.
//
// All of these properties of a BatchJobRequest shown below can be optional, depending on
// your service, so it is not required to specify all with any request. If you do not want to
// use any of the parameters, a null value should be passed in its place.
// Define the reference to the blob containing your input data. You can refer to this blob by its
// connection string / container / blob name values; alternatively, we also support references
// based on a blob SAS URI
string ext = ".csv";//inputBlobName.Substring(inputBlobName.LastIndexOf("."));
BlobReference inputBlob;
if (isHasInput)
{
inputBlob = BlobReference.CreateFromConnectionStringData(
connectionString: string.Format("DefaultEndpointsProtocol=https;AccountName={0};AccountKey={1}", accountNameInput, accountKeyInput),
containerName: containerInput,
blobName: inputBlobName);
ext = inputBlobName.Substring(inputBlobName.LastIndexOf("."));
}
else
{
inputBlob = null;
}
// If desired, one can override the location where the job outputs are to be stored, by passing in
// the storage account details and name of the blob where we want the output to be redirected to.
var outputLocations = new Dictionary <string, BlobReference>();
foreach (var keyvalue in outputObj.NodeOutputName)
{
outputLocations.Add(
keyvalue.Key,
BlobReference.CreateFromConnectionStringData(
connectionString: string.Format("DefaultEndpointsProtocol=https;AccountName={0};AccountKey={1}", outputObj.AccountName, outputObj.AccountKey),
containerName: outputObj.Container,
blobName: !outputObj.isAddTime ? keyvalue.Value + "_" + DateTime.Now.ToString("MMddyy_hhmmss") + ext : keyvalue.Value + ext
));
}
;
// If applicable, you can also set the global parameters for your service
var globalParameters = new Dictionary <string, string>();
foreach (var global in paramObj.listGlobalParameter)
{
string columnValue = "";
var control = FindControl(global.Name);
if (control is TextBox)
{
TextBox txt = control as TextBox;
if (txt.Text != "")
{
columnValue = txt.Text;
}
}
else if (control is DropDownList)
{
DropDownList lb = control as DropDownList;
if (lb.SelectedIndex != -1)
{
columnValue = lb.SelectedValue;
}
}
if (control is RadioButtonList)
{
RadioButtonList ct = control as RadioButtonList;
if (ct.SelectedIndex != -1)
{
columnValue = ct.SelectedValue;
}
}
globalParameters.Add(global.Name, columnValue);
}
var jobRequest = new BatchJobRequest
{
Input = inputBlob,
GlobalParameters = globalParameters,
Outputs = outputLocations
};
try
{
// Register the batch job with the system, which will grant you access to a job object
BatchJob job = await runtimeClient.RegisterBatchJobAsync(jobRequest);
AddJobIdCookie(job.Id, job.CreatedAt.ToLocalTime().ToString());
// Start the job to allow it to be scheduled in the running queue
await job.StartAsync();
//ScriptManager.RegisterStartupScript(Page, typeof(Page), "OpenWindow", "window.open('Status.aspx?jobid=" + job.Id + "');", true);
Response.Redirect("Status.aspx?jobid=" + job.Id);
// Wait for the job's completion and handle the output
//BatchJobStatus jobStatus = await job.WaitForCompletionAsync();
//while (job.CheckStatus().JobState != JobState.Finished && job.CheckStatus().JobState != JobState.Failed)
//{
// Console.WriteLine(job.Id + ":" + job.CreatedAt.ToLocalTime() + job.CheckStatus().JobState);
//}
//BatchJobStatus jobStatus = job.CheckStatus();
////job.CreatedAt
//if (jobStatus.JobState == JobState.Finished)
//{
// // Process job outputs
// //Console.WriteLine(@"Job {0} has completed successfully and returned {1} outputs", job.Id, jobStatus.Results.Count);
// lblJobIdSuccess.Text = job.Id;
// ScriptManager.RegisterStartupScript(Page, Page.GetType(), "CompleteSuccess", "$('#CompleteSuccess').modal();", true);
// foreach (var output in jobStatus.Results)
// {
// //Console.WriteLine(@"\t{0}: {1}", output.Key, output.Value.AbsoluteUri);
// Response.Redirect(output.Value.AbsoluteUri);
// }
//}
//else if (jobStatus.JobState == JobState.Failed)
//{
// // Handle job failure
// //Console.WriteLine(@"Job {0} has failed with this error: {1}", job.Id, jobStatus.Details);
// txtresultModal.Text = jobStatus.Details;
// ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
//}
}
catch (ArgumentException ex)
{
//Console.WriteLine("Argument {0} is invalid: {1}", aex.ParamName, aex.Message);
//txtresultModal.Text = ex.Message;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
ShowError(ex.Message);
}
catch (RuntimeException runtimeError)
{
//Console.WriteLine("Runtime error occurred: {0} - {1}", runtimeError.ErrorCode, runtimeError.Message);
//Console.WriteLine("Error details:");
string error = "";
foreach (var errorDetails in runtimeError.Details)
{
error += string.Format("\t{0} - {1}", errorDetails.Code, errorDetails.Message);
}
//txtresultModal.Text = error;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
ShowError(error);
}
catch (Exception ex)
{
//Console.WriteLine("Unexpected error occurred: {0} - {1}", ex.GetType().Name, ex.Message);
//txtresultModal.Text = ex.Message;
//ScriptManager.RegisterStartupScript(Page, Page.GetType(), "failModal", "$('#failModal').modal();", true);
ShowError(ex.Message);
}
}
