public ContentResult OnGetChartData(string hashtags)
{
List <string> colors = new List <string>()
{
"#FF6384", "#4BC0C0", "#FFCE56", "#E7E9ED", "#36A2EB"
};
List <TweetsData> tweets = GetTweets(hashtags);
var dates = tweets.GroupBy(d => d.Date).Select(k => k.Key).ToList();
Chart chart = new Chart
{
Type = Enums.ChartType.PolarArea
};
Data data = new Data();
data.Labels = tweets.GroupBy(k => k.Keyword).Select(k => k.Key).ToList();
PolarDataset dataset = new PolarDataset()
{
Label = "Keywords dataset",
BackgroundColor = new List <ChartColor>(),
Data = new List <double?>()
};
Random rnd = new Random();
int i = 0;
foreach (string label in data.Labels)
{
dataset.Data.Add(tweets.Where(l => l.Keyword == label).GroupBy(k => k.Count).Select(c => c.Key).Sum());
//ChartColor.FromHexString(string.Format("#{0:X6}", rnd.Next(0x1000000))) < random colors
dataset.BackgroundColor.Add(ChartColor.FromHexString(colors[i]));
i++;
}
data.Datasets = new List <Dataset>
{
dataset
};
chart.Data = data;
return(Content(chart.CreateChartCode("lineChart")));
}
public async Task <JsonResult> OnPostAsync(string UserInput)
{
if (!string.IsNullOrEmpty(UserInput))
{
List <BinResult> binResults = new List <BinResult>();
string[] keywords = UserInput.Split(" ").Take(5).ToArray();
List <string> jReturns = new List <string>();
foreach (string keyword in keywords)
{
// data.Labels.Add(keyword);
//todo add link to pastbin raw data based on binID
try
{
HttpAsync httpAsync = new HttpAsync();
string response = await httpAsync.Get(PsDumpUrl.Replace("#keyword#", keyword));
if (!string.IsNullOrEmpty(response))
{
try
{
binResults.Add(JsonConvert.DeserializeObject <BinResult>(response));
jReturns.Add(response);
}
catch (Exception)
{
}
}
}
catch (Exception)
{
}
}
//Create chart
Chart chart = new Chart();
chart.Type = Enums.ChartType.Line;
LineDataset lineDataset = new LineDataset();
Data data = new Data();
data.Labels = new List <string>();
data.Datasets = new List <Dataset>();
foreach (BinResult binResult in binResults)
{
LineDataset dataset = new LineDataset();
List <double?> c = new List <double?>();
foreach (var line in binResult.data.GroupBy(f => DateTime.Parse(f.Time).ToUniversalTime()
.ToString("Y", System.Globalization.CultureInfo.CreateSpecificCulture("en-US")))
.Select(group => new
{
xAxis = group.Key,
yAxis = group.Count()
})
.OrderBy(x => x.xAxis))
{
Debug.WriteLine(line.xAxis);
if (!data.Labels.Contains(line.xAxis))
{
data.Labels.Add(line.xAxis);
}
if (c.Count() < data.Labels.IndexOf(line.xAxis))
{
for (int i = c.Count(); i < data.Labels.IndexOf(line.xAxis); i++)
{
c.Add(0);
}
}
c.Insert(data.Labels.IndexOf(line.xAxis), (line.yAxis));
Debug.WriteLine("{0} {1} {2}", binResult.Search, line.xAxis, line.yAxis);
}
lineDataset = CreateChartDataSet(binResult.Search, c);
data.Datasets.Add(lineDataset);
}
Options options = new Options()
{
Scales = new Scales(),
Responsive = true,
MaintainAspectRatio = true
};
Scales scales = new Scales()
{
YAxes = new List <Scale>()
{
new CartesianScale()
},
XAxes = new List <Scale>()
{
new CartesianScale()
{
Type = "category",
Position = "bottom",
Ticks = new CartesianLinearTick()
{
BeginAtZero = false
}
}
}
};
CartesianScale yAxes = new CartesianScale()
{
Ticks = new Tick()
};
Tick tick = new Tick()
{
Callback = "function(value, index, values) {return '#of bins' + value;}"
};
yAxes.Ticks = tick;
scales.YAxes = new List <Scale>()
{
yAxes
};
options.Scales = scales;
chart.Options = options;
chart.Data = data;
return(new JsonResult(new { table = jReturns, chart = chart.CreateChartCode("lineChart") }));
}
return(null);
}