public async Task Construct()
{
var loader = new LexiconConfigLoader(ApplicationLogging.LoggerFactory.CreateLogger <LexiconConfigLoader>());
var configuration = loader.Load();
Assert.IsNotNull(configuration);
var builder = new ServiceCollection();
builder.RegisterModule <LoggingModule>();
builder.RegisterModule <CommonModule>();
builder.RegisterModule(new SentimentMainModule {
LocalConfig = true
});
builder.RegisterModule(new SentimentServiceModule());
var container = builder.BuildServiceProvider();
for (int i = 0; i < 2; i++)
{
using var scope = container.CreateScope();
var session = scope.ServiceProvider.GetService <ISessionContainer>();
var client = session.GetTesting();
client.Init();
var result = await client
.Process(new ParsingDocumentHolder(session.GetTextSplitter(),
session.GetWordFactory(),
session.Resolve <IContextSentenceRepairHandler>(),
new Document("I like beer")))
.ConfigureAwait(false);
Assert.AreEqual(5, result.Adjustment.Rating.StarsRating);
}
}
public void Setup()
{
var loader = new LexiconConfigLoader(ApplicationLogging.LoggerFactory.CreateLogger <LexiconConfigLoader>());
var config = loader.Load(TestContext.CurrentContext.TestDirectory);
var path = config.GetFullPath(item => item.Model);
var stream = new DictionaryStream(Path.Combine(path, "EmotionLookupTable.txt"), new FileStreamSource());
var data = stream.ReadDataFromStream(double.Parse).ToDictionary(item => item.Word, item => item.Value, StringComparer.OrdinalIgnoreCase);
sentimentData = SentimentDataHolder.PopulateEmotionsData(data);
}
public void Setup()
{
var loader = new LexiconConfigLoader(ApplicationLogging.LoggerFactory.CreateLogger <LexiconConfigLoader>());
path = loader.Load().Resources;
}
