private static async Task <MultiSlotRankResponse> SendMultiSlotRank(HttpClient client, string rankRequestBody, string rankUrl)
{
var rankBuilder = new UriBuilder(new Uri(rankUrl));
HttpRequestMessage rankRequest = new HttpRequestMessage(HttpMethod.Post, rankBuilder.Uri);
rankRequest.Content = new StringContent(rankRequestBody, Encoding.UTF8, "application/json");
HttpResponseMessage response = await client.SendAsync(rankRequest);
MultiSlotRankResponse rankResponse = JsonSerializer.Deserialize <MultiSlotRankResponse>(await response.Content.ReadAsByteArrayAsync());
return(rankResponse);
}
static async Task Main(string[] args)
{
Console.WriteLine($"Welcome to this Personalizer Quickstart!\n" +
$"This code will help you understand how to use the Personalizer APIs (multislot rank and multislot reward).\n" +
$"Each iteration represents a user interaction and will demonstrate how context, actions, slots, and rewards work.\n" +
$"Note: Personalizer AI models learn from a large number of user interactions:\n" +
$"You won't be able to tell the difference in what Personalizer returns by simulating a few events by hand.\n" +
$"If you want a sample that focuses on seeing how Personalizer learns, see the Python Notebook sample.");
IList <Action> actions = GetActions();
IList <Slot> slots = GetSlots();
using (var client = new HttpClient())
{
client.DefaultRequestHeaders.Add("ocp-apim-subscription-key", ResourceKey);
int iteration = 1;
bool runLoop = true;
do
{
Console.WriteLine($"\nIteration: {iteration++}");
string timeOfDayFeature = GetTimeOfDayForContext();
string deviceFeature = GetDeviceForContext();
IList <Context> context = GetContext(timeOfDayFeature, deviceFeature);
string eventId = Guid.NewGuid().ToString();
string rankRequestBody = JsonSerializer.Serialize(new MultiSlotRankRequest()
{
ContextFeatures = context,
Actions = actions,
Slots = slots,
EventId = eventId,
DeferActivation = false
});
//Ask Personalizer what action to show for each slot
MultiSlotRankResponse multiSlotRankResponse = await SendMultiSlotRank(client, rankRequestBody, MultiSlotRankUrl);
MultiSlotReward multiSlotRewards = new MultiSlotReward()
{
Reward = new List <SlotReward>()
};
for (int i = 0; i < multiSlotRankResponse.Slots.Count(); ++i)
{
Console.WriteLine($"\nPersonalizer service decided you should display: { multiSlotRankResponse.Slots[i].RewardActionId} in slot {multiSlotRankResponse.Slots[i].Id}. Is this correct? (y/n)");
SlotReward reward = new SlotReward()
{
SlotId = multiSlotRankResponse.Slots[i].Id
};
string answer = GetKey();
if (answer == "Y")
{
reward.Value = 1;
Console.WriteLine("\nGreat! The application will send Personalizer a reward of 1 so it learns from this choice of action for this slot.");
}
else if (answer == "N")
{
reward.Value = 0;
Console.WriteLine("\nYou didn't like the recommended item. The application will send Personalizer a reward of 0 for this choice of action for this slot.");
}
else
{
reward.Value = 0;
Console.WriteLine("\nEntered choice is invalid. Service assumes that you didn't like the recommended item.");
}
multiSlotRewards.Reward.Add(reward);
}
string rewardRequestBody = JsonSerializer.Serialize(multiSlotRewards);
// Send the reward for the action based on user response for each slot.
await SendMultiSlotReward(client, rewardRequestBody, MultiSlotRewardUrlBase, multiSlotRankResponse.EventId);
Console.WriteLine("\nPress q to break, any other key to continue:");
runLoop = !(GetKey() == "Q");
} while (runLoop);
}
}
