public JsonResult GetJobProfileByCategoriesChartData()
{
var curJob = this.jobsRepo.FindOne(new ByIdSpecify <Job>(this.CurrentJobId));
var skillCatNames = curJob.JobSkills.Select(x => x.SkillCategory).Distinct().Select(x => x.Name);
var skillCatGroupedData = curJob.JobSkills.GroupBy(g => g.SkillCategoryId);
var skillsData = new List <ChartSeriesModel>();
foreach (var skillCat in skillCatGroupedData)
{
if (skillCat.Any())
{
var skillData = new ChartSeriesModel
{
Name = skillCat.First().SkillCategory.Name,
CategoryAvgEstimate = Math.Round((double)skillCat.Sum(x => x.Estimate) / skillCat.Count(), 2)
};
foreach (var jobSkill in skillCat)
{
skillData.Categories.Add(jobSkill.Skill.Name);
skillData.Data.Add(jobSkill.Estimate);
}
skillsData.Add(skillData);
}
}
return(this.Json(
new { SkillCatNames = skillCatNames, SkillsData = skillsData },
JsonRequestBehavior.AllowGet));
}
private void UpdatePresenters(ChartLayoutContext context)
{
int index = 0;
ChartSeriesModel series = this.Model;
if (this.chart.chartArea.IsTreeLoaded && (this.HasPointTemplate || this.SupportsDefaultVisuals))
{
foreach (DataPoint point in series.DataPointsInternal)
{
// point is empty or is laid-out outside the clip area, skip it from visualization.
if (point.isEmpty || !context.ClipRect.IntersectsWith(point.layoutSlot))
{
continue;
}
FrameworkElement element = this.GetDataPointVisual(point, index);
if (element != null)
{
this.ArrangeUIElement(element, point.layoutSlot);
index++;
}
}
}
while (index < this.realizedDataPointPresenters.Count)
{
var presenter = this.realizedDataPointPresenters[index];
if (presenter.Visibility == Visibility.Visible)
{
presenter.Visibility = Visibility.Collapsed;
}
index++;
}
}
protected virtual void GenerateDataPoints(SizedQueue longPeriodItems, SizedQueue shortPeriodItems, SizedQueue signalPeriodItems)
{
ChartSeriesModel model = this.Owner.Model;
int currentIndex = 0;
CategoricalDataPoint point;
double signalEMA = 0d;
double macd = 0d;
foreach (var item in this.itemsSource)
{
macd = this.CalculateMacdValue(longPeriodItems, shortPeriodItems, currentIndex, item);
signalPeriodItems.EnqueueItem(macd);
signalEMA = CalculateSignal(this.signalPeriod, signalPeriodItems, currentIndex, signalEMA, macd);
if (model.DataPointsInternal.Count > currentIndex)
{
point = model.DataPointsInternal[currentIndex] as CategoricalDataPoint;
point.Value = macd - signalEMA;
}
else
{
point = this.GenerateDataPoint(item, -1) as CategoricalDataPoint;
point.Value = macd - signalEMA;
model.DataPointsInternal.Add(point);
}
currentIndex++;
}
}
protected override void BindCore()
{
int currentIndex = 0;
StochasticSlowIndicator owner = this.Owner as StochasticSlowIndicator;
ChartSeriesModel model = this.Owner.Model;
ChartSeriesModel signalModel = owner.SignalModel;
int currentMainPeriod = this.MainPeriod;
int currentSlowingPeriod = this.SlowingPeriod;
int currentSignalPeriod = this.SignalPeriod;
SizedQueue highValues = new SizedQueue(currentMainPeriod);
SizedQueue lowValues = new SizedQueue(currentMainPeriod);
SizedQueue fastStochValues = new SizedQueue(currentSlowingPeriod);
SizedQueue slowStochValues = new SizedQueue(currentSignalPeriod);
foreach (var item in this.itemsSource)
{
double high = (double)this.HighBinding.GetValue(item);
double low = (double)this.LowBinding.GetValue(item);
double close = (double)this.CloseBinding.GetValue(item);
double fastStochValue = CalculateMainValue(highValues, lowValues, high, low, close);
fastStochValues.EnqueueItem(fastStochValue);
double slowStochValue = MovingAverageIndicatorDataSource.CalculateCurrentValue(fastStochValues);
slowStochValues.EnqueueItem(slowStochValue);
double slowSignalValue = MovingAverageIndicatorDataSource.CalculateCurrentValue(slowStochValues);
CategoricalDataPoint point, point2;
if (model.DataPointsInternal.Count > currentIndex)
{
point = model.DataPointsInternal[currentIndex] as CategoricalDataPoint;
point.Value = slowStochValue;
}
else
{
point = this.GenerateDataPoint(item, -1) as CategoricalDataPoint;
point.Value = slowStochValue;
model.DataPointsInternal.Add(point);
}
if (signalModel.DataPointsInternal.Count > currentIndex)
{
point2 = signalModel.DataPointsInternal[currentIndex] as CategoricalDataPoint;
point2.Value = slowSignalValue;
}
else
{
point2 = this.GenerateDataPoint(item, -1) as CategoricalDataPoint;
point2.Value = slowSignalValue;
signalModel.DataPointsInternal.Add(point2);
}
currentIndex++;
}
}
private void UpdatePresenters(ChartLayoutContext context)
{
int index = 0;
ChartSeriesModel series = this.Model;
if (this.HasPointTemplate || this.SupportsDefaultVisuals)
{
foreach (DataPoint point in series.DataPointsInternal)
{
// point is laid-out outside the clip area, skip it from visualization
if (!context.ClipRect.IntersectsWith(point.layoutSlot))
{
continue;
}
if (this.drawWithComposition)
{
var containerVisual = this.GetContainerVisual(index);
this.chart.ContainerVisualsFactory.PrepareBarIndicatorVisual(containerVisual, point);
index++;
}
else
{
FrameworkElement element = this.GetDataPointVisual(point, index);
if (element != null)
{
this.ArrangeUIElement(element, point.layoutSlot);
index++;
}
}
}
}
if (this.drawWithComposition)
{
while (index < this.realizedVisualDataPoints.Count)
{
this.realizedVisualDataPoints[index].IsVisible = false;
index++;
}
}
else
{
while (index < this.realizedDataPoints.Count)
{
this.realizedDataPoints[index].Visibility = Visibility.Collapsed;
index++;
}
}
}
public JsonResult GetOptionByBarChart(GridPager pager, string queryStr)
{
List <Spl_ProductModel> list = m_BLL.GetList(ref pager, queryStr);
List <decimal?> costPrice = new List <decimal?>();
list.ForEach(a => costPrice.Add(a.CostPrice));
List <decimal?> price = new List <decimal?>();
list.ForEach(a => price.Add(a.Price));
List <string> names = new List <string>();
list.ForEach(a => names.Add(a.Name));
List <ChartSeriesModel> seriesList = new List <ChartSeriesModel>();
ChartSeriesModel series1 = new ChartSeriesModel()
{
name = "成本价",
type = "bar",
data = costPrice
};
ChartSeriesModel series2 = new ChartSeriesModel()
{
name = "零售价",
type = "bar",
data = price
};
seriesList.Add(series1);
seriesList.Add(series2);
var option = new
{
title = new{ text = "成本价零售价对照表" },
tooltip = new{},
legend = new { data = "成本价零售价对照表" },
xAxis = new{ data = names },
yAxis = new{},
series = seriesList
};
return(Json(option));
}
public JsonResult GetOptionByBarChart2(GridPager pager, string queryStr)
{
List <ProductPillarModel> list = m_BLL.GetListByPillar(ref pager, queryStr);
List <decimal?> costPrice = new List <decimal?>();
list.ForEach(a => costPrice.Add(a.Price));
List <decimal?> numbers = new List <decimal?>();
list.ForEach(a => numbers.Add(a.Number));
List <string> names = new List <string>();
list.ForEach(a => names.Add(a.Name + "(" + a.Color + ")"));
List <ChartSeriesModel> seriesList = new List <ChartSeriesModel>();
ChartSeriesModel series1 = new ChartSeriesModel()
{
name = "价格",
type = "bar",
data = costPrice
};
ChartSeriesModel series2 = new ChartSeriesModel()
{
name = "销量",
type = "bar",
data = numbers
};
seriesList.Add(series1);
seriesList.Add(series2);
var option = new
{
title = new { text = "销量和价格对照表" },
tooltip = new { },
legend = new { data = new string[] { "价格", "销量" } },
xAxis = new { data = names },
yAxis = new { },
series = seriesList
};
return(Json(option));
}
private void UpdateLabels(ChartLayoutContext context)
{
int index = 0;
ChartSeriesModel series = this.Model;
ChartSeriesLabelUpdateContext labelContext = new ChartSeriesLabelUpdateContext();
labelContext.PlotDirection = this.Model.GetTypedValue <AxisPlotDirection>(AxisModel.PlotDirectionPropertyKey, AxisPlotDirection.Vertical);
labelContext.IsPlotInverse = this.Model.GetIsPlotInverse(labelContext.PlotDirection);
if (this.showLabelsCache)
{
foreach (DataPoint point in series.DataPointsInternal)
{
// point is empty or is laid-out outside the clip area, skip it from visualization.
if (point.isEmpty || !context.ClipRect.IntersectsWith(point.layoutSlot))
{
continue;
}
labelContext.Point = point;
labelContext.PointVirtualIndex = index;
this.ProcessDataPointLabels(labelContext);
index++;
}
}
while (index < this.labels.Count)
{
List <FrameworkElement> pointLabels = this.labels[index].Value;
foreach (FrameworkElement label in pointLabels)
{
label.Visibility = Visibility.Collapsed;
}
index++;
}
}
private void UpdatePresenters(ChartLayoutContext context)
{
int index = 0;
ChartSeriesModel series = this.Model;
if (this.chart.chartArea.IsTreeLoaded && (this.HasPointTemplate || this.SupportsDefaultVisuals))
{
foreach (DataPoint point in series.DataPointsInternal)
{
// point is empty or is laid-out outside the clip area, skip it from visualization.
if (point.isEmpty || !context.ClipRect.IntersectsWith(point.layoutSlot))
{
if (this.drawWithComposition)
{
var containerVisual = this.GetContainerVisual(index, point);
if (containerVisual.IsVisible)
{
containerVisual.IsVisible = false;
}
index++;
}
continue;
}
if (this.drawWithComposition)
{
var containerVisual = this.GetContainerVisual(index, point);
this.chart.ContainerVisualsFactory.PreparePointTemplateSeriesVisual(containerVisual, point);
if (!containerVisual.IsVisible)
{
containerVisual.IsVisible = true;
}
index++;
}
else
{
FrameworkElement element = this.GetDataPointVisual(point, index);
if (element != null)
{
this.ArrangeUIElement(element, point.layoutSlot);
index++;
}
}
}
}
if (this.drawWithComposition)
{
while (index < this.realizedContainerVisuals.Count)
{
var containerVisual = this.realizedContainerVisuals.Keys.ElementAtOrDefault(index);
if (containerVisual != null && containerVisual.IsVisible)
{
containerVisual.IsVisible = false;
}
index++;
}
}
else
{
while (index < this.realizedDataPointPresenters.Count)
{
var presenter = this.realizedDataPointPresenters[index];
if (presenter.Visibility == Visibility.Visible)
{
presenter.Visibility = Visibility.Collapsed;
}
index++;
}
}
}
public JsonResult GetJobProfileSkillsChartData(long?jobId, long?candidateId)
{
var skillsData = new List <ChartSeriesModel>();
var skillNames = new List <string>();
Job curJob = null;
if (jobId.HasValue)
{
curJob = this.jobsRepo.FindOne(new ByIdSpecify <Job>(jobId.Value));
skillNames.AddRange(curJob.JobSkills.Where(x => x.Estimate > 0).Select(x => x.Skill).Select(x => x.Name));
skillsData.Add(new ChartSeriesModel
{
Name = "Job Profile",
Data = curJob.JobSkills.Where(x => x.Estimate > 0).Select(x => double.Parse(x.Estimate.ToString())).ToList(),
YAxis = 0
});
}
if (candidateId.HasValue)
{
var candidate = this.usersRepo.FindOne(new ByIdSpecify <User>(candidateId.Value));
var seriesName = string.Format("{0} {1} Profile", candidate.LastName, candidate.FirstName);
var userSkills = new List <UserSkill>();
if (curJob != null)
{
userSkills = candidate.UsersSkills.Where(x => curJob.JobSkills.Any(a => a.SkillId == x.SkillId && a.Estimate > 0)).ToList();
}
else
{
skillNames.AddRange(candidate.UsersSkills.Select(x => x.Skill).Select(x => x.Name));
userSkills = candidate.UsersSkills.ToList();
}
skillsData.Add(new ChartSeriesModel
{
Name = seriesName,
Data = userSkills.Select(x => double.Parse(x.Estimate.ToString())).ToList(),
YAxis = 0
});
// Select TestResults for candidate skills
var testResults = candidate.TestResults.Where(x => userSkills.Any(s => s.SkillId == x.Test.SkillId)).ToList();
var skillTestRes = new ChartSeriesModel
{
Name = "Test Results",
YAxis = 1
};
foreach (var skill in userSkills)
{
var testRes = testResults.FirstOrDefault(x => x.Test.SkillId == skill.SkillId);
if (testRes != null)
{
// Percent correct answers
var totalQuestions = testRes.Test.Questions.Count;
var correctAnswers = testRes.ResultQuestions.Count(x => x.ResultAnswers.Any(a => a.IsCorrect && a.IsChoisen));
skillTestRes.Data.Add(Math.Round((double)correctAnswers / totalQuestions * 100, 2));
}
else
{
skillTestRes.Data.Add(0);
}
}
skillsData.Add(skillTestRes);
}
return(this.Json(new { SkillNames = skillNames, SkillsData = skillsData }, JsonRequestBehavior.AllowGet));
}
public ActionResult GetReportData(int type, int qKyUnit, int qCreator, string qKyDate1, string qKyDate2, int userId, int unitId, int dataType)
{
List <string> names = new List <string>();
List <ChartSeriesModel> seriesList = new List <ChartSeriesModel>();
List <int> nums = new List <int>();
List <DataZoomModel> dzList = new List <DataZoomModel>();
ChartSeriesModel csm = new ChartSeriesModel();
string rsljson = "";
DateTime beginDate = Md5Helper.GMT2Local(qKyDate1);
DateTime endDate = Md5Helper.GMT2Local(qKyDate2);
var records = db.view_report.Where(p => p.ky_date >= beginDate && p.ky_date <= endDate && p.record_state != 1000); //
if (dataType == Global.SELF_DATA)
{
records = records.Where(p => p.creater_id.Value == userId);
}
else if (qCreator != 0)
{
records = records.Where(p => p.creater_id == qCreator);
}
if (dataType == Global.UNIT_DATA)
{
records = records.Where(p => p.ky_unit == unitId);
}
else if (qKyUnit != 0)
{
records = records.Where(p => p.ky_unit == qKyUnit);
}
switch (type)
{
case 1:
var rslList = records.GroupBy(p => p.xz).ToList();
csm.name = "案件性质";
csm.type = "bar";
foreach (var rsl in rslList)
{
names.Add(rsl.Key);
nums.Add(rsl.Count());
}
csm.data = nums;
seriesList.Add(csm);
var option = new
{
title = new { text = "案件性质汇总统计" },
tooltip = new { },
xAxis = new
{
axisLabel = new { interval = "0", rotate = "30" },
data = names
},
yAxis = new { },
series = seriesList
};
rsljson = JsonConvert.SerializeObject(option);
break;
case 2:
var rslList2 = records.GroupBy(p => p.bg_unit_name).ToList();
csm.name = "接警单位";
csm.type = "bar";
foreach (var rsl in rslList2)
{
names.Add(rsl.Key);
nums.Add(rsl.Count());
}
csm.data = nums;
seriesList.Add(csm);
var option2 = new
{
title = new { text = "接警单位汇总统计" },
tooltip = new { },
xAxis = new
{
axisLabel = new { interval = "0", rotate = "30" },
data = names
},
yAxis = new { },
series = seriesList
};
rsljson = JsonConvert.SerializeObject(option2);
break;
case 3:
var rslList3 = records.GroupBy(p => p.jjr_name).ToList();
csm.name = "接警人";
csm.type = "bar";
foreach (var rsl in rslList3)
{
names.Add(rsl.Key);
nums.Add(rsl.Count());
}
csm.data = nums;
seriesList.Add(csm);
var option3 = new
{
title = new { text = "接警人汇总统计" },
tooltip = new { },
xAxis = new
{
axisLabel = new { interval = "0", rotate = "45" },
data = names
},
yAxis = new { },
series = seriesList
};
rsljson = JsonConvert.SerializeObject(option3);
break;
case 4:
var rslList4 = records.OrderBy(p => p.ky_date).GroupBy(p => p.ky_date).ToList();
csm.name = "接警日期";
csm.type = "line";
foreach (var rsl in rslList4)
{
names.Add(rsl.Key.Value.ToString("yyyy-MM-dd"));
nums.Add(rsl.Count());
}
csm.data = nums;
seriesList.Add(csm);
DataZoomModel dz = new DataZoomModel()
{
end = 100
};
dzList.Add(dz);
DataZoomModel dz1 = new DataZoomModel()
{
type = "inside"
};
dzList.Add(dz1);
var option4 = new
{
title = new { text = "日均案件统计" },
tooltip = new { },
xAxis = new
{
data = names
},
dataZoom = dzList,
yAxis = new { },
series = seriesList
};
rsljson = JsonConvert.SerializeObject(option4);
break;
case 5:
var rslList5 = records.Select(n => new { record_id = n.record_id, ky_month = n.ky_date.Value.Year + "-" + n.ky_date.Value.Month })
.GroupBy(p => p.ky_month).ToList();
csm.name = "接警月";
csm.type = "line";
foreach (var rsl in rslList5)
{
names.Add(rsl.Key);
nums.Add(rsl.Count());
}
csm.data = nums;
seriesList.Add(csm);
DataZoomModel dz2 = new DataZoomModel()
{
end = 100
};
dzList.Add(dz2);
DataZoomModel dz3 = new DataZoomModel()
{
type = "inside"
};
dzList.Add(dz3);
var option5 = new
{
title = new { text = "月均案件统计" },
tooltip = new { },
xAxis = new
{
data = names
},
yAxis = new { },
dataZoom = dzList,
series = seriesList
};
rsljson = JsonConvert.SerializeObject(option5);
break;
}
return(Content(rsljson));
}