public static APIDataModel CollectRawValues(string keyword)
{
APIDataModel d = DatabaseAccessLayer.Instance.CollectRawData(keyword);
d.keyword = keyword;
List <int> volume = new List <int>();
int pos;
int neg;
double tempAvg;
List <double> avg = new List <double>();
for (int i = 0; i < d.dates.Length; i++)
{
pos = d.posList[i];
neg = d.negList[i];
volume.Add(neg + pos);
if (pos + neg > 0)
{
tempAvg = ((double)pos - neg) / (pos + neg);
}
else
{
tempAvg = 0;
}
avg.Add(tempAvg);
}
d.normalizedMood = avg.ToArray();
d.totalHits = volume.ToArray();
return(d);
}
public static APIDataModel CollectAverages(string keyword, int interval)
{
APIDataModel d = DatabaseAccessLayer.Instance.CollectRawData(keyword);
DateTime end = DateTime.Today.AddDays(-1);
List <double> avg = new List <double>();
List <int> volume = new List <int>();
List <string> dates = new List <string>(d.dates);
List <int> posCount = new List <int>(d.posList);
List <int> negCount = new List <int>(d.negList);
if (String.IsNullOrEmpty(keyword))
{
keyword = Guid.NewGuid().ToString();
}
d.keyword = keyword;
for (int i = 0; i < interval; i++)
{
avg.Add(0);
volume.Add(0);
}
for (int i = interval; i < dates.Count; i++)
{
if (ValidRange(dates.GetRange(i - interval, interval)))
{
avg.Add(Average(posCount.GetRange(i - interval, interval), negCount.GetRange(i - interval, interval)));
volume.Add(posCount[i] + negCount[i]);
}
else
{
avg.Add(0);
volume.Add(0);
}
}
d.normalizedMood = avg.ToArray();
d.totalHits = volume.ToArray();
return(d);
}
public APIDataModel Get(
string request,
string keyword = "",
int runningAvg = 0,
int interval = 0,
long sinceID = 0,
string id = "",
string unit = "",
string date = "",
string source = ""
)
{
int keyID = -1;
APIDataModel data = new APIDataModel();
if (request == "TOTAL")
{
if (runningAvg > 1)
{
d = ChartManager.collectAverages(keyword, runningAvg);
}
else
{
data = ChartManager.CollectRawValues(keyword);
data.chartDiv = data.keyword.Replace(" ", String.Empty) + "ChartDiv";
}
}
else if (request == "FIVE_MINUTES")
{
keyID = DatabaseAccessLayer.Instance.GetKeywordID(keyword);
data = DatabaseAccessLayer.Instance.Get5Min(keyID);
}
else if (request == "USER_INFO")
{
data.keywords = AccountManager.GetUserKeywords(Guid.Parse(id));
data.accounts = new Account[1];
data.accounts[0] = AccountManager.GetAccountInfo(Guid.Parse(id));
}
else if (request == "USER_LIST")
{
data.accounts = AccountManager.GetAccounts().ToArray();
}
else if (request == "CLASSIFY_SENTIMENT")
{
data.ourSentiment = SentimentClassificationService.Instance.Classify(keyword);
data.viralSentiment = "none";//json["mood"];
}
else if (request == "GET_ANNOTATIONS")
{
data = DatabaseAccessLayer.Instance.GetAnnotations(keyword);
}
else if (request == "TIME_RANGE")
{
keyID = DatabaseAccessLayer.Instance.GetKeywordID(keyword);
if (unit == "5min")
{
data = DatabaseAccessLayer.Instance.Get5Min(keyID);
}
else if (unit == "1min")
{
d = DatabaseAccessLayer.Instance.GetLastMinute(keyID);
}
else if (unit == "10sec")
{
data = DatabaseAccessLayer.Instance.GetTenSeconds(keyID, source);
}
else
{
data = DatabaseAccessLayer.Instance.GetTimeRange(keyID, unit);
if (data.dates.Count() > 0)
{
data.sentimentList = DatabaseAccessLayer.Instance.GetHistoryPage(keyword, 0, DateTime.Parse(data.dates[0])).sentimentList;
}
}
}
else if (request == "PAGE")
{
data = DatabaseAccessLayer.Instance.GetHistoryPage(keyword, interval - 1, DateTime.Parse(date));
}
else if (request == "DAY_VALUES")
{
data = DatabaseAccessLayer.Instance.GetDayValues(keyword, DateTime.Parse(date));
}
else if (request == "WIDGET")
{
data = DatabaseAccessLayer.Instance.GetWidgetData(keyword);
}
return(data);
}
public static APIDataModel GetCSV(string keyword)
{
APIDataModel d = new APIDataModel();
return(d);
}