public void Success_NullIsAccepted()
{
// Setup
var parser = new SpaceSeparatedParser();
// Execution
var result = parser.Parse(null);
// Assert
Assert.IsNull(result);
}
public void Success_SupportsNotNumericQuality()
{
// Setup
var parser = new SpaceSeparatedParser();
var columns = "This Is My Item Name 23 NotANumber";
// Execution
var result = parser.Parse(columns);
// Assert
Assert.IsNull(result);
}
public void Success_TooFewColumnsAccepted()
{
// Setup
var parser = new SpaceSeparatedParser();
var columns = "Col1 Col2";
// Execution
var result = parser.Parse(columns);
// Assert
Assert.IsNull(result);
}
public void Success_CorrectStringWithMoreThanThreeColumnsSupported()
{
// Setup
var parser = new SpaceSeparatedParser();
var columns = "This Is My Item Name 23 67";
// Execution
var result = parser.Parse(columns);
// Assert
Assert.IsNotNull(result);
Assert.AreEqual("This Is My Item Name", result.Name);
Assert.AreEqual(23, result.SellBy);
Assert.AreEqual(67, result.Quality);
}
public void Success_CorrectStringWithThreeColumnsSupported()
{
// Setup
var parser = new SpaceSeparatedParser();
var columns = "ItemName 99 66";
// Execution
var result = parser.Parse(columns);
// Assert
Assert.IsNotNull(result);
Assert.AreEqual("ItemName", result.Name);
Assert.AreEqual(99, result.SellBy);
Assert.AreEqual(66, result.Quality);
}
/// <summary>
/// The main program entry point
/// </summary>
/// <param name="args">Command line arguments</param>
static async Task <int> Main(string[] args)
{
// We require two arguments, one for the input file and the other for the output file. If we don't have these
// we must stop
if (args.Length != 2)
{
Console.WriteLine("Usage: GuildedRose InputFileName OutputFileName");
Console.WriteLine("The program will parse the input file, modify the contents and output the result to " +
"the output file");
return(-1);
}
// Creates a mapping between the quality control strategy and the implementation. This uses
// type and not a direct instantiation to prevent to prevent more complicated classes interfering with
// each other should this algorithm ultimately be paralleled.
var qualityAlgorithmFactory = new QualityAlgorithmFactory(new Dictionary <QualityStrategy, Type>()
{
{ QualityStrategy.Stable, typeof(StableQualityAlgorithm) },
{ QualityStrategy.LinearDecrease, typeof(LinearDecreaseAlgorithm) },
{ QualityStrategy.LinearIncrease, typeof(LinearIncreaseAlgorithm) },
{ QualityStrategy.RapidDecrease, typeof(RapidDecreaseAlgorithm) },
{ QualityStrategy.IncreasingUntilSellBy, typeof(IncreasingValueUntilSellByAlgorithm) },
});
// Creates a mapping between the shelf life strategy and the implementation.
var shelfLifeAlgorithmFactory = new ShelfLifeAlgorithmFactory(new Dictionary <ShelfLifeStrategy, Type>()
{
{ ShelfLifeStrategy.Stable, typeof(StableShelfLifeAlgorithm) },
{ ShelfLifeStrategy.LinearDecrease, typeof(LinearDecreaseShelfLifeAlgorithm) }
});
// Creates a mapping between an item of stock and it's corresponding stock management strategy.
var itemFactory = new ItemFactory(new Dictionary <string, StockManagementStrategy>()
{
{
"Aged Brie",
new StockManagementStrategy(QualityStrategy.LinearIncrease, ShelfLifeStrategy.LinearDecrease)
},
{
"Backstage passes",
new StockManagementStrategy(QualityStrategy.IncreasingUntilSellBy, ShelfLifeStrategy.LinearDecrease)
},
{ "Sulfuras", new StockManagementStrategy(QualityStrategy.Stable, ShelfLifeStrategy.Stable) },
{
"Normal Item",
new StockManagementStrategy(QualityStrategy.LinearDecrease, ShelfLifeStrategy.LinearDecrease)
},
{
"Conjured",
new StockManagementStrategy(QualityStrategy.RapidDecrease, ShelfLifeStrategy.LinearDecrease)
}
});
// Define a list of quality control steps that must be run every time
var qualityControl = new List <IQualityAlgorithm>()
{
new QualityNeverNegativeAlgorithm(),
new QualityNeverAboveThresholdAlgorithm(50)
};
// And now the object that creates the factory for the item.
var qualityFactory = new QualityPipelineFactory(qualityAlgorithmFactory, qualityControl);
// Create an object that can parse the text. If multiple formats are required this could be created via
// a factory object. For now, we only have one format
var stringParse = new SpaceSeparatedParser();
// Create the processing object that performs the main business logic
var itemProcessor = new ItemProcessor(qualityFactory, shelfLifeAlgorithmFactory);
// Create the object that can convert between our parsed item and the real inventory item
var itemToInventoryParse = new ParsedItemToInventoryItemConverter(itemFactory);
try
{
// Open the input file
await using var inputStream = new FileStream(args[0], FileMode.Open);
// Create the output file
await using var outputStream = new FileStream(args[1], FileMode.Create);
await using var outputStreamWriter = new StreamWriter(outputStream);
// Create the object that performs the final output
var outputProcessor = new OutputProcessor(outputStreamWriter);
// Run the pipeline by awaiting on the observable
await create_observable_stream(inputStream, stringParse, itemToInventoryParse, itemProcessor, outputProcessor);
Console.WriteLine("File processed.");
// The file was processed successfully. We do not consider any parsing errors as significant (since
// the output file has been marked accordingly).
return(0);
}
catch (Exception ex)
{
Console.WriteLine(
$"The process could not be completed because an error occurred. Exception: {ex.Message}");
return(-1);
}
}