/// <summary>
/// Executes specific scraping logic for passed scraper.
/// (Only role is message propagation)!
/// </summary>
/// <param name="browser">Headless browwser instance</param>
/// <param name="scrapers">passed site scrapers scrapers</param>
public DataflowPipelineClass(ScrapingBrowser browser,
ISiteSpecific scraper,
IRealTimePublisher realTimePublisher,
IDataConsumer dataConsumer)
{
this._browser = browser;
this._specificScraper = scraper;
this._realTimeFeedPublisher = realTimePublisher;
this._dataConsumer = dataConsumer;
}
protected async Task InitSingleTDataflowPipeline(ISiteSpecific scraper)
{
//TODO: await completion , than start next scraper (in future if i have more threads ...can make few pipes run in parallel as well)
//TODO: throw this class init and cts , one leayer out ..into "RunAll" method when i'll have more scrapers running
//-->>>later make method where we continously scrape on same pipeline aka dont init DataflowPipelineClass() here
var cts = new CancellationTokenSource();
// init new TPL pipeline for each new scraper , and all other requred classes in pipeline
var pipeline = new DataflowPipelineClass(_browser, scraper, new RealTimePublisher(_hubConnection, _args), new DataConsumer());
try
{
await Task.Run(async() => //TODO:might need to be moved inside try to catch ex
{
try
{
await pipeline.StartPipelineAsync(cts.Token);
}
catch (AggregateException ae)
{
//NOTE :each exception in TPL DF will wrap it in its own layer of AggregateException
//ae.Flatten(); to pull out nested exception under aggregate exceptions thrown form tpl pipeline
Console.WriteLine($"Pipeline {PipeIndex} terminated due to error {ae}");
}
Console.WriteLine($"Pipe -->[{++PipeIndex}] done processing Messages!");
});
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
//throw ex;
}
#region TPL Channels option
//2 .or use TPLChannels instead ... (in my case 3rd option is better!)
//var channel = new TPLChannelsClass();
//channel.EnqueueAsync("llalall");
//3. or directly output to signalR since it uses channels too
// with RealTimePublisher -->PublishMessageToHub()
//_realTimeFeedPublisher.PublishMessageToHub();
#endregion TPL Channels option
}
private async Task ConsumeWithDiscard(ITargetBlock <Message> target, CancellationToken token, ISiteSpecific scraper)//Maybe make this method async IAsyncEnumerable so can push msgs as they arrive
{
if (scraper.Url == "http://nabava.net")
{
//TODO :this is F****D ..ERROR IS IM NOW AWAITING RESULT IN ASYNC METHOD ,replace with separate method that only Fetches markup
var scrapedData = await scraper.ScrapeWebshops();
//TODO: streaming atm streams x100 or to fast anyway for some reasonable data... maybe make timer that sends batches of data every min or so !!!!
//while (!token.IsCancellationRequested)
//{
foreach (string item in scrapedData.Item1) //Right now im just posting same webshops over and over to pipeline
{
//map, than Pass msg to pipeline
var message = new Message();
//message.SourceHtml = //scraped data
message.Id = _counter;
message.SiteUrl = item;
message.Read = DateTime.Now;
_counter++;
Console.WriteLine($"Read mdg num[{_counter}] from [{message.SiteUrl}] @ [{message.Read}] on thread [{Thread.CurrentThread.ManagedThreadId}]");// temp logging
var post = target.Post(message);
if (!post)
{
Console.WriteLine("Buffer full, Could not post!");
}
}
target.Complete();
//}
}
//await foreach (var item in collection)
//{
// //replace while loop with this one
// //pass fetched markup here to forward msgs to pipeline
//}
//PREVOUS VERSION ...
//while (!token.IsCancellationRequested)
//{
// //TODO : in current state , i should init scraping here and post it into pipeline 1by 1 (for that i would need to pass "ITargetBlock<Message> target" as param to scraper)
// //scraper.RunInitMsg(...,...,target)
// var message = new Message();
// //message.SourceHtml = //scraped data
// message.Id = _counter;
// message.SiteUrl = scraper.Url;
// message.Read = DateTime.Now;
// _counter++;
// Console.WriteLine($"Read message num[{_counter}] from [{scraper.Url}] on thread [{Thread.CurrentThread.ManagedThreadId}]");// temp logging
// var post = target.Post(message);
// if (!post)
// Console.WriteLine("Buffer full, Could not post!");
//}
}
/// <summary>
///This is the entry point into the TPL dataflow , data is than propagated through TPL blocks in pipeline (1stblock (TransformBlock) in my case)
/// </summary>
/// <see cref=""/>
public Task StartConsuming(ITargetBlock <Message> target, CancellationToken token, ISiteSpecific scraper)
{
return(Task.Factory.StartNew(async() => await ConsumeWithDiscard(target, token, scraper), TaskCreationOptions.LongRunning));
}