public IActionResult Index(string screenname, string order)
{
// TODO handle hashtags separately
int markovOrder;
// default order is 2, if the parse failed
if (!int.TryParse(order, out markovOrder))
markovOrder = 2;
// hack to avoid null pointer exception
if (markovOrder > 5)
markovOrder = 5;
int tweetCount = 200;
var generator = new MarkovGenerator(markovOrder, false);
// how to handle hashtags? just keep a list of them along with a probability for each,
// i.e. a single-prefix markov chain?
// would also need a no-hashtag probability
// no, that won't work, since there wouldn't be an end point, really. at least not one that makes sense.
// what might work is keeping track of individual hashtag probabilities,
// as well as a probability distribution of number of hashtags. (fun to get some stats on that, see if it's poisson-distributed)
ViewData["Screenname"] = screenname;
var auth = new SingleUserAuthorizer
{
CredentialStore = new SingleUserInMemoryCredentialStore
{
ConsumerKey = _consumerKey,
ConsumerSecret = _consumerSecret,
AccessToken = _accessToken,
AccessTokenSecret = _accessTokenSecret
}
};
var twitterCtx = new TwitterContext(auth);
var timeline =
(twitterCtx.Status.Where(tweet => tweet.Type == StatusType.User &&
tweet.ScreenName == screenname &&
tweet.Count == tweetCount))
.ToList();
foreach (var tweet in timeline)
{
generator.ReadInput(tweet.Text);
}
int outputCount = 20;
var outputList = new List<string>();
for (int i = 0; i < outputCount; i++)
{
outputList.Add(generator.GenerateOutput());
}
//TODO add form
//TODO use form data
return View(outputList);
}
