def simple_chart(request,counter_name):
counter_len = len(Counter.objects.values())
Date = [Counter.objects.values()[i]["pub_date"] for i in range(counter_len)]
name = counter_name
y_values = Counter.objects.values_list("counter_value",flat=True).filter(counter_name=counter_name)
points = zip(Date,y_values)
ddict = OrderedDict({'Date':Date})
#ddict[name] = y_values
TOOLS="pan,wheel_zoom,box_zoom,reset,hover,save"
p = figure(width=1200, height=400, x_axis_type="datetime",tools=TOOLS,title=name+"'s Metrics" )
p.min_border_left = 100
p.min_border_top = 50
p.border_fill = 'whitesmoke'
p.ygrid.band_fill_color = "#E6E6FA"
p.title_text_color = "olive"
p.title_text_font = "times"
p.title_text_font_style = "italic"
p.outline_line_width = 7
p.outline_line_alpha = 0.3
p.outline_line_color = "black"
source = ColumnDataSource(
data=dict(
rates = [slope(points[i][0].microsecond,points[i][1],points[i+1][0].microsecond,points[i+1][1]) for i in range(len(points)-1)]
)
)
hover = p.select(dict(type=HoverTool))
hover.point_policy = "follow_mouse"
hover.tooltips = OrderedDict([
("Counter Name",name),
("Rate of count","@rates c/us"),
])
p.line(Date,y_values,line_width=1,source=source)
p.square(Date, y_values, fill_color=None, line_color="green",size=4)
script1, div1 = components(p, CDN)
hist = Histogram(list(y_values),bins=50,title='Histogram',color="#778899")
hist.border_fill = 'whitesmoke'
hist.background_fill = "beige"
script2, div2 = components(hist, CDN)
area = Area(list(y_values),title="CDF")
area.border_fill ="whitesmoke"
area.background_fill = "#191970"
script3, div3 = components(area,CDN)
context = RequestContext(request,{"the_script1":script1, "the_div1":div1,"the_script2":script2,"the_div2":div2,"the_script3":script3,"the_div3":div3})
return render(request, "counters_app/simple_bokeh.html",context)
def dashboard(request, counter_name, db):
""" This is the main function for our dashboard it queries the database for the correct data
given from the previous page. Then displays those results in three formats. Histogram, timeseries and CDF """
counter_len = len(Counter.objects.using(db).values())
Date = [
Counter.objects.using(db).values()[i]["pub_date"]
for i in range(counter_len)
]
name = counter_name
y_values = Counter.objects.using(db).values_list(
"counter_value", flat=True).filter(counter_name=counter_name)
points = zip(Date, y_values)
ddict = OrderedDict({'Date': Date})
#ddict[name] = y_values
#plot specifications
TOOLS = "pan,wheel_zoom,box_zoom,reset,hover,save"
p = figure(width=1200,
height=400,
x_axis_type="datetime",
tools=TOOLS,
title=name + "'s Metrics")
p.min_border_left = 100
p.min_border_top = 50
p.border_fill = 'whitesmoke'
p.ygrid.band_fill_color = "#E6E6FA"
p.title_text_color = "olive"
p.title_text_font = "times"
p.title_text_font_style = "italic"
p.outline_line_width = 7
p.outline_line_alpha = 0.3
p.outline_line_color = "black"
#HoverTool specifications
source = ColumnDataSource(data=dict(rates=[
slope(points[i][0].second, points[i][1], points[i + 1][0].second,
points[i + 1][1]) for i in range(len(points) - 1)
]))
hover = p.select(dict(type=HoverTool))
hover.point_policy = "follow_mouse"
hover.tooltips = OrderedDict([
("Counter Name", name),
("Rate of count", "@rates c/us"),
])
p.line(Date, y_values, line_width=1, source=source)
p.square(Date, y_values, fill_color=None, line_color="green", size=4)
script1, div1 = components(p, CDN)
hist = Histogram(list(y_values), bins=50, title='Histogram')
hist.border_fill = 'whitesmoke'
hist.background_fill = "beige"
script2, div2 = components(hist, CDN)
area = Area(list(y_values), title="CDF")
area.border_fill = "whitesmoke"
area.background_fill = "#191970"
script3, div3 = components(area, CDN)
context = RequestContext(
request, {
"the_script1": script1,
"the_div1": div1,
"the_script2": script2,
"the_div2": div2,
"the_script3": script3,
"the_div3": div3
})
return render(request, "counters_app/simple_bokeh.html", context)
