public Task ProcessAsync(Stream stream, CancellationToken cancellationToken = default)
{
var results = _csvParser.ParseResult(stream);
_logger.LogInformation($"Processing {results.Count} results.");
// Last chance to cancel. After this point, we allow all results to be calculated and posted, even if cancellation is signaled.
// We don't want to send results for half of a file.
cancellationToken.ThrowIfCancellationRequested();
foreach (var result in results)
{
}
return(Task.CompletedTask);
}
public async Task ProcessAsync(Stream stream, CancellationToken cancellationToken = default)
{
var results = _csvParser.ParseResult(stream);
_logger.LogInformation($"Processing {results.Count} results.");
// Last chance to cancel. After this point, we allow all results to be calculated and posted, even if cancellation is signaled.
// We don't want to send results for half of a file.
cancellationToken.ThrowIfCancellationRequested();
foreach (var result in results)
{
// NOTE: We could use a cache to avoid so many API calls in a real production system
var playerOneTask = _tennisPlayerApiClient.GetPlayerAsync(result.PlayerOneId);
var playerTwoTask = _tennisPlayerApiClient.GetPlayerAsync(result.PlayerTwoId);
await Task.WhenAll(playerOneTask, playerTwoTask);
var playerOne = playerOneTask.Result;
var playerTwo = playerTwoTask.Result;
if (playerOne is object && playerTwo is object)
{
// calculate match result and player stats
await Task.Delay(500); // simulate more intestive processing time and actual generation of results and stats
var matchResult = new TennisMatchResult();
var playerOneStats = new PlayerStatistic();
var playerTwoStats = new PlayerStatistic();
// post winner and stats to API
var resultTask = _statisticsApiClient.PostResultAsync(matchResult);
var statPlayerOneTask = _statisticsApiClient.PostStatisticAsync(playerOneStats);
var statPlayerTwoTask = _statisticsApiClient.PostStatisticAsync(playerTwoStats);
await Task.WhenAll(resultTask, statPlayerOneTask, statPlayerTwoTask);
}
}
}
