private void ComputeAveragePerSecond(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
var tweetsPerSecond = dataToAnalyze
.GroupBy(d => new
{
d.CreatedAt.Year,
d.CreatedAt.Month,
d.CreatedAt.Day,
d.CreatedAt.Hour,
d.CreatedAt.Minute,
d.CreatedAt.Second
})
.Select(grp => new
{
grp.Key.Year,
grp.Key.Month,
grp.Key.Day,
grp.Key.Hour,
grp.Key.Minute,
grp.Key.Second,
Count = grp.Count()
})
.ToArray();
dataToReturn.AveragePerSecond =
tweetsPerSecond.Average(d => d.Count);
}
public TweetAnalysis Analyze(IEnumerable <Tweet> tweets)
{
// Shortcut possible deferred execution...
var dataToAnalyze = tweets.ToArray();
var dataToReturn = new TweetAnalysis {
TotalCount = dataToAnalyze.Count()
};
ComputeTopDomains(dataToAnalyze, dataToReturn);
ComputeTopHashtags(dataToAnalyze, dataToReturn);
ComputeAveragePerHour(dataToAnalyze, dataToReturn);
ComputeAveragePerMinute(dataToAnalyze, dataToReturn);
ComputeAveragePerSecond(dataToAnalyze, dataToReturn);
ComputePercentContainsEmojis(dataToAnalyze, dataToReturn);
ComputePercentContainsUrl(dataToAnalyze, dataToReturn);
ComputePercentContainsPhotos(dataToAnalyze, dataToReturn);
ComputeTopEmojis(dataToAnalyze, dataToReturn);
return(dataToReturn);
}
private void ComputePercentContainsPhotos(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
var photoCount = dataToAnalyze
.Count(tweet => tweet.Photos.Any());
dataToReturn.PercentContainsPhotoUrl =
decimal.Round(photoCount / (decimal)dataToAnalyze.Count * 100m, 2);
}
private void ComputePercentContainsEmojis(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
var emojiCount = dataToAnalyze
.Count(tweet => tweet.Emojis.Any());
dataToReturn.PercentContainsEmojis =
decimal.Round(emojiCount / (decimal)dataToAnalyze.Count * 100m, 2);
}
private void ComputePercentContainsUrl(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
var urlCount = dataToAnalyze
.Count(tweet => tweet.ContainsUrls);
dataToReturn.PercentContainsUrl =
decimal.Round(urlCount / (decimal)dataToAnalyze.Count * 100m, 2);
}
private void ComputeTopEmojis(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
dataToReturn.TopEmojis = dataToAnalyze
.SelectMany(d => d.Emojis)
.GroupBy(d => d.ShortName)
.OrderByDescending(grp => grp.Count())
.Take(10)
.Select(grp => grp.Key)
.ToArray();
}
private static void ComputeTopDomains(
IReadOnlyCollection <Tweet> tweets, TweetAnalysis data)
{
data.TopDomains = tweets
.SelectMany(d => d.Domains)
.GroupBy(d => d)
.OrderByDescending(grp => grp.Count())
.Take(10)
.Select(grp => grp.Key)
.ToArray();
}
private static void ComputeTopHashtags(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
dataToReturn.TopHashTags = dataToAnalyze
.SelectMany(d => d.HashTags)
.GroupBy(d => d)
.OrderByDescending(grp => grp.Count())
.Take(10)
.Select(grp => grp.Key)
.ToArray();
}
private void ComputeAveragePerHour(
IReadOnlyCollection <Tweet> dataToAnalyze, TweetAnalysis dataToReturn)
{
var groupedByHour = dataToAnalyze
.GroupBy(d => new
{
d.CreatedAt.Year,
d.CreatedAt.Month,
d.CreatedAt.Day,
d.CreatedAt.Hour
});
var countByHour = groupedByHour.Select(grp => new
{
grp.Key.Year,
grp.Key.Month,
grp.Key.Day,
grp.Key.Hour,
Count = grp.Count()
}).ToArray();
dataToReturn.AveragePerHour =
countByHour.Average(grp => grp.Count);
}
