public static void Main(string[] args)
{
// You will need to set you email and the account key as the input parameters.
// You can get your account key from https://datamarket.azure.com/account if
// you signed up for the service using Data Market.
// If you signed up for the service using the Azure Management Portal, you can
// get the Account Key there.
if (args.Length != 2)
{
throw new Exception(
"Invalid usage: expecting 2 parameters (in this order) email and DataMarket primary account key");
}
var email = args[0];
var accountKey = args[1];
Console.WriteLine("Invoking Azure ML Sample app for user {0}\n", email);
//Note: if you run the app flow consecutively you need to change the model name, otherwise the invocation will fail.
const string modelName = "demo_model";
//Initialization
var recommendationsApp = new RecommendationsSampleApp();
recommendationsApp.Init(email, accountKey);
//Create a model container
Console.WriteLine("Creating a new model container {0}...", modelName);
var modelId = recommendationsApp.CreateModel(modelName);
Console.WriteLine("Model '{0}' created with ID: {1}", modelName, modelId);
//Import data to the container
Console.WriteLine("Importing catalog and usage data...");
var resourcesDir = Path.Combine(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location), "Resources");
Console.WriteLine("Import catalog...");
var report = recommendationsApp.ImportFile(modelId, Path.Combine(resourcesDir, "catalog_small.txt"), Uris.ImportCatalog);
Console.WriteLine("{0}", report);
Console.WriteLine("Import usage...");
report = recommendationsApp.ImportFile(modelId, Path.Combine(resourcesDir, "usage_small.txt"), Uris.ImportUsage);
Console.WriteLine("{0}", report);
//Trigger a build to produce a recommendation model.
Console.WriteLine("Triggering build for model '{0}'", modelId);
var buildId = recommendationsApp.BuildModel(modelId, "build of " + DateTime.UtcNow.ToString("yyyyMMddHHmmss"));
Console.WriteLine("Triggered build id '{0}'", buildId);
Console.WriteLine("Monitoring build '{0}'\n", buildId);
//monitor the current triggered build
var status = BuildStatus.Create;
bool monitor = true;
while (monitor)
{
status = recommendationsApp.GetBuildStatus(modelId, buildId);
Console.Write("Build '{0}' (model '{1}'): status {2}\n", buildId, modelId, status);
if (status != BuildStatus.Error && status != BuildStatus.Cancelled && status != BuildStatus.Success)
{
Console.WriteLine(" --> will check in 5 sec...");
Thread.Sleep(5000);
}
else
{
monitor = false;
}
}
Console.WriteLine("Build {0} ended with status {1}", buildId, status);
//The below api is more meaningful when you want to give a cetain build id to be an active build.
//currently this app has a single build which is already active.
Console.WriteLine("Updating model description to 'book model' and set active build");
recommendationsApp.UpdateModel(modelId, "book model", buildId);
if (status != BuildStatus.Success)
{
Console.WriteLine("Build {0} did not end successfully, the sample app will stop here.", buildId);
Console.WriteLine("Press any key to end");
Console.ReadKey();
return;
}
// we deliberatly add delay in order to propagate the model updates from the build...
Console.WriteLine("Waiting for 20 sec for propagation of the built model...");
Thread.Sleep(20000);
Console.WriteLine("Getting some recommendations...");
// get recommendations
var seedItems = new List<CatalogItem>
{
// These item data were extracted from the catalog file in the resource folder.
new CatalogItem() {Id = "2406e770-769c-4189-89de-1c9283f93a96", Name = "Clara Callan"},
new CatalogItem() {Id = "552a1940-21e4-4399-82bb-594b46d7ed54", Name = "Restraint of Beasts"}
};
Console.WriteLine("\t for single seed item");
// show usage for single item
recommendationsApp.InvokeRecommendations(modelId, seedItems, false);
Console.WriteLine("\n\n\t for a set of seed item");
// show usage for a list of items
recommendationsApp.InvokeRecommendations(modelId, seedItems, true);
Console.WriteLine("\nGetting user recommendations...");
// the following user id was extracted from the sample usage file in the resource folder
recommendationsApp.InvokeUserRecommendations(modelId, "85526");
Console.WriteLine("Press any key to end");
Console.ReadKey();
}
public static void Main(string[] args)
{
// You will need to set you email and the account key as the input parameters.
// You can get your account key from https://datamarket.azure.com/account if
// you signed up for the service using Data Market.
// If you signed up for the service using the Azure Management Portal, you can
// get the Account Key there.
if (args.Length != 2)
{
throw new Exception(
"Invalid usage: expecting 2 parameters (in this order) email and DataMarket primary account key");
}
var email = args[0];
var accountKey = args[1];
Console.WriteLine("Invoking Azure ML Sample app for user {0}\n", email);
//Note: if you run the app flow consecutively you need to change the model name, otherwise the invocation will fail.
const string modelName = "demo_model";
//Initialization
var recommendationsApp = new RecommendationsSampleApp();
recommendationsApp.Init(email, accountKey);
//Create a model container
Console.WriteLine("Creating a new model container {0}...", modelName);
var modelId = recommendationsApp.CreateModel(modelName);
Console.WriteLine("Model '{0}' created with ID: {1}", modelName, modelId);
//Import data to the container
Console.WriteLine("Importing catalog and usage data...");
var resourcesDir = Path.Combine(Path.GetDirectoryName(Assembly.GetExecutingAssembly().Location), "Resources");
Console.WriteLine("Import catalog...");
var report = recommendationsApp.ImportFile(modelId, Path.Combine(resourcesDir, "catalog_small.txt"), Uris.ImportCatalog);
Console.WriteLine("{0}", report);
Console.WriteLine("Import usage...");
report = recommendationsApp.ImportFile(modelId, Path.Combine(resourcesDir, "usage_small.txt"), Uris.ImportUsage);
Console.WriteLine("{0}", report);
//Trigger a build to produce a recommendation model.
Console.WriteLine("Triggering build for model '{0}'", modelId);
var buildId = recommendationsApp.BuildModel(modelId, "build of " + DateTime.UtcNow.ToString("yyyyMMddHHmmss"));
Console.WriteLine("Triggered build id '{0}'", buildId);
Console.WriteLine("Monitoring build '{0}'\n", buildId);
//monitor the current triggered build
var status = BuildStatus.Create;
bool monitor = true;
while (monitor)
{
status = recommendationsApp.GetBuildStatus(modelId, buildId);
Console.Write("Build '{0}' (model '{1}'): status {2}\n", buildId, modelId, status);
if (status != BuildStatus.Error && status != BuildStatus.Cancelled && status != BuildStatus.Success)
{
Console.WriteLine(" --> will check in 5 sec...");
Thread.Sleep(5000);
}
else
{
monitor = false;
}
}
Console.WriteLine("Build {0} ended with status {1}", buildId, status);
//The below api is more meaningful when you want to give a cetain build id to be an active build.
//currently this app has a single build which is already active.
Console.WriteLine("Updating model description to 'book model' and set active build");
recommendationsApp.UpdateModel(modelId, "book model", buildId);
if (status != BuildStatus.Success)
{
Console.WriteLine("Build {0} did not end successfully, the sample app will stop here.", buildId);
Console.WriteLine("Press any key to end");
Console.ReadKey();
return;
}
// we deliberatly add delay in order to propagate the model updates from the build...
Console.WriteLine("Waiting for 20 sec for propagation of the built model...");
Thread.Sleep(20000);
Console.WriteLine("Getting some recommendations...");
// get recommendations
var seedItems = new List <CatalogItem>
{
// These item data were extracted from the catalog file in the resource folder.
new CatalogItem()
{
Id = "2406e770-769c-4189-89de-1c9283f93a96", Name = "Clara Callan"
},
new CatalogItem()
{
Id = "552a1940-21e4-4399-82bb-594b46d7ed54", Name = "Restraint of Beasts"
}
};
Console.WriteLine("\t for single seed item");
// show usage for single item
recommendationsApp.InvokeRecommendations(modelId, seedItems, false);
Console.WriteLine("\n\n\t for a set of seed item");
// show usage for a list of items
recommendationsApp.InvokeRecommendations(modelId, seedItems, true);
Console.WriteLine("\nGetting user recommendations...");
// the following user id was extracted from the sample usage file in the resource folder
recommendationsApp.InvokeUserRecommendations(modelId, "85526");
Console.WriteLine("Press any key to end");
Console.ReadKey();
}
