public async Task ProcessPurchasesAsync(List <ProductPurchase> orders)
{
Logger.Debug("{0}: {1} orders", nameof(this.ProcessPurchasesAsync), orders?.Count);
if (orders == null)
{
return;
}
//Dictionary<int, ProductStockTrend> ProductStockTrends
try
{
Dictionary <int, int> productIds = new Dictionary <int, int>();
DateTime now = DateTime.UtcNow;
Dictionary <int, ProductStockTrend> productStockTrends =
await this.StateManager.GetStateAsync <Dictionary <int, ProductStockTrend> >("ProductStockTrends");
foreach (ProductPurchase order in orders)
{
// Add this product trend if we don't track it yet
if (!productStockTrends.ContainsKey(order.ProductId))
{
productStockTrends.Add(
order.ProductId,
new ProductStockTrend()
{
ProductId = order.ProductId,
ProductName = order.ProductName
});
}
ProductStockTrend trend = productStockTrends[order.ProductId];
trend.Reset(now.AddMonths(-1), DateTime.UtcNow);
trend.AddOrder(order, this.notificationAttempts);
productIds[order.ProductId] = 0;
}
await this.StateManager.SetStateAsync <Dictionary <int, ProductStockTrend> >("ProductStockTrends", productStockTrends);
await this.CalculatePredictionsAsync(productIds.Keys);
}
catch (Exception ex)
{
Logger.Error(ex, nameof(this.ProcessPurchasesAsync));
throw;
}
}
private async Task CalculatePredictionsAsync(IEnumerable <int> productIds)
{
Logger.Debug(nameof(this.CalculatePredictionsAsync));
Dictionary <int, ProductStockTrend> productTrends =
await this.StateManager.GetStateAsync <Dictionary <int, ProductStockTrend> >("ProductStockTrends");
AzureMlBatchResponse response = await this.mlClient.InvokeBatchAsync(new AzureMlBatchRequest(productIds.Select(x => productTrends[x])));
foreach (AzureMlBatchResponse.ResponseLine r in response.Lines)
{
ProductStockTrend trend = productTrends[r.ProductId];
trend.Probability = r.Probability;
trend.Reorder = r.Reorder;
}
await this.StateManager.SetStateAsync <Dictionary <int, ProductStockTrend> >("ProductStockTrends", productTrends);
}
