public async Task <IEnumerable <string> > GetRecommendationsAsync(string productId)
{
string modelName = ConfigurationHelpers.GetString("MachineLearning.ModelName");
//The Azure ML service takes in a recommendation model name (trained ahead of time) and a product id
string uri = string.Format("https://api.datamarket.azure.com/data.ashx/amla/mba/v1/Score?Id=%27{0}%27&Item=%27{1}%27", modelName, productId);
try
{
//The Azure ML service returns a set of numbers, which indicate the recommended product id
var response = await client.GetStringAsync(uri);
AzureMLFrequentlyBoughtTogetherServiceResponse deserializedResponse = JsonConvert.DeserializeObject <AzureMLFrequentlyBoughtTogetherServiceResponse>(response);
//When there is no recommendation, The Azure ML service returns a JSON object that does not contain ItemSet
var recommendation = deserializedResponse.ItemSet;
if (recommendation == null)
{
return(Enumerable.Empty <string>());
}
else
{
return(recommendation);
}
}
catch (HttpRequestException e)
{
telemetry.TrackException(e);
return(Enumerable.Empty <string>());
}
}
public ConfigurationWebsiteOptions(IConfiguration config, ITelemetryProvider log)
{
try
{
ShowRecommendations = Boolean.Parse(config["ShowRecommendations"]);
}
catch (InvalidCastException e)
{
log.TrackException(e);
}
}
public ConfigurationWebsiteOptions(IConfiguration config, ITelemetryProvider log)
{
try
{
ShowRecommendations = Boolean.Parse(config["ShowRecommendations"]);
}
catch (InvalidCastException e)
{
log.TrackException(e);
}
}
public ConfigurationWebsiteOptions(IConfiguration config, ITelemetryProvider log)
{
try
{
ShowRecommendations = config.Get <bool>("ShowRecommendations");
}
catch (InvalidCastException e)
{
log.TrackException(e);
}
}
public ConfigurationWebsiteOptions(IConfiguration config, ITelemetryProvider log)
{
try
{
ShowRecommendations = config.Get<bool>("ShowRecommendations");
}
catch (InvalidCastException e)
{
log.TrackException(e);
}
}
public async Task <IActionResult> Run(
[HttpTrigger(AuthorizationLevel.Function, "get", "post", Route = null)] HttpRequest req,
ILogger log)
{
log.LogInformation($"AppInsightsAzureFunctionDemo Start: {DateTime.Now}");
var timer = System.Diagnostics.Stopwatch.StartNew();
// Add custom data to the event
// customEvents | where timestamp > ago(7d) | order by timestamp desc
// https://microsoft.github.io/AzureTipsAndTricks/blog/tip195.html
var dictionary = new Dictionary <string, string>();
dictionary.Add("Function", "My AppInsightsAzureFunctionDemo");
dictionary.Add("Caller", "Toni Pohl");
dictionary.Add("Description", "This is the Azure function using App Insights description");
_provider.TrackEvent($"Event: Start {DateTime.Now}", dictionary);
// track a numeric value
// customMetrics | order by timestamp desc
_provider.TrackMetric("Metric: Ticks based on current time", DateTime.Now.Ticks);
// track an exception
// exceptions | order by timestamp desc
_provider.TrackException(new Exception($"Exception: at {DateTime.Now}"));
// track long running external service call
// dependencies | order by timestamp desc
_provider.TrackDependency("myDependency", "MyType", "myCall 1", DateTime.Now, timer.Elapsed, true);
// Done
_provider.TrackEvent($"Event: End {DateTime.Now}");
string responseMessage = $"AppInsightsAzureFunctionDemo End: {DateTime.Now}";
log.LogInformation(responseMessage);
return(new OkObjectResult(responseMessage));
}
