def monthly_expenses_vs_quota(request):
"""
return flot data/options for the expenses of all months with their quota
"""
graph = Flot()
user_profile = request.user.get_profile()
quotas = user_profile.quotas.all()
num_months = quotas.count()
used_quota_datas = []
quota_datas = []
# date0 = quotas[num_months-1].date - datetime.timedelta(days=30)
# used_quota_datas.append([date0, float(user_profile.used_monthly_quota(num_months-1))])
# quota_datas.append([date0, float(quotas[num_months-1].quota)])
for i in xrange(0, num_months):
quota = quotas[num_months - 1 - i]
used_quota = float(user_profile.used_monthly_quota(num_months - 1 - i))
xaxis = quota.date
quota_datas.append([xaxis, float(quota.quota)])
used_quota_datas.append([xaxis, used_quota])
dateN1 = quotas[0].date + datetime.timedelta(days=30)
used_quota_datas.append(
[dateN1, float(user_profile.used_monthly_quota(0))])
quota_datas.append([dateN1, float(quotas[0].quota)])
graph.add_lines(used_quota_datas,
label="Expenses",
**{
"fill": True,
"steps": True
})
graph.add_lines(quota_datas, label="Quota", **{"steps": True})
graph = add_axis_label(graph, "x", "Months")
graph = add_axis_label(graph, "y", "Amount ($)")
graph._options['xaxis'].update({"minTickSize": [1, "month"]})
# #show a month before
# date0 = quotas[num_months-1].date - datetime.timedelta(days=30)
# graph._options['xaxis'].update({"min": time.mktime(date0.timetuple())*1000 })
content = "{\"datas\": %(DATAS)s, \"options\": %(OPTS)s }" % {
"DATAS": graph.series_json,
"OPTS": graph.options_json
}
return HttpResponse(content, mimetype="application/json")
def monthly_expenses_vs_quota(request):
"""
return flot data/options for the expenses of all months with their quota
"""
graph = Flot()
user_profile = request.user.get_profile()
quotas = user_profile.quotas.all()
num_months = quotas.count()
used_quota_datas = []
quota_datas = []
# date0 = quotas[num_months-1].date - datetime.timedelta(days=30)
# used_quota_datas.append([date0, float(user_profile.used_monthly_quota(num_months-1))])
# quota_datas.append([date0, float(quotas[num_months-1].quota)])
for i in xrange(0,num_months):
quota = quotas[num_months-1-i]
used_quota = float(user_profile.used_monthly_quota(num_months-1-i))
xaxis = quota.date
quota_datas.append([xaxis,float(quota.quota)])
used_quota_datas.append([xaxis,used_quota])
dateN1 = quotas[0].date + datetime.timedelta(days=30)
used_quota_datas.append([dateN1, float(user_profile.used_monthly_quota(0))])
quota_datas.append([dateN1, float(quotas[0].quota)])
graph.add_lines(used_quota_datas, label="Expenses",**{"fill":True,"steps":True})
graph.add_lines(quota_datas, label="Quota",**{"steps":True})
graph = add_axis_label(graph,"x","Months")
graph = add_axis_label(graph,"y","Amount ($)")
graph._options['xaxis'].update({"minTickSize": [1, "month"]})
# #show a month before
# date0 = quotas[num_months-1].date - datetime.timedelta(days=30)
# graph._options['xaxis'].update({"min": time.mktime(date0.timetuple())*1000 })
content = "{\"datas\": %(DATAS)s, \"options\": %(OPTS)s }" % {"DATAS":graph.series_json, "OPTS":graph.options_json}
return HttpResponse(content, mimetype="application/json")
def test_flot(request):
"testing flot ajax"
m1 = datetime.date.today()
m0 = m1 - datetime.timedelta(days=30)
m2 = m1+datetime.timedelta(days=30)
m3 = m2+datetime.timedelta(days=30)
graph = Flot()
graph.add_lines([(m1, 1), (m2, 2), (m3, 3)], label="func a",**{"fill":True})
# graph.add_bars([(1, 1), (2, 1), (3, 3)], label="func b")
graph = add_axis_label(graph,"x","Label x")
graph = add_axis_label(graph,"y","Label y")
graph._options['xaxis'].update({"minTickSize": [1, "month"]})
# graph._options['xaxis'].update({"min": time.mktime(m0.timetuple())*100 })
# graph._options['xaxis'].update({"min": 1354154400000 })
content = "{\"datas\": %(DATAS)s, \"options\": %(OPTS)s }" % {"DATAS":graph.series_json, "OPTS":graph.options_json}
return HttpResponse(content, mimetype="application/json")
def test_flot(request):
"testing flot ajax"
m1 = datetime.date.today()
m0 = m1 - datetime.timedelta(days=30)
m2 = m1 + datetime.timedelta(days=30)
m3 = m2 + datetime.timedelta(days=30)
graph = Flot()
graph.add_lines([(m1, 1), (m2, 2), (m3, 3)],
label="func a",
**{"fill": True})
# graph.add_bars([(1, 1), (2, 1), (3, 3)], label="func b")
graph = add_axis_label(graph, "x", "Label x")
graph = add_axis_label(graph, "y", "Label y")
graph._options['xaxis'].update({"minTickSize": [1, "month"]})
# graph._options['xaxis'].update({"min": time.mktime(m0.timetuple())*100 })
# graph._options['xaxis'].update({"min": 1354154400000 })
content = "{\"datas\": %(DATAS)s, \"options\": %(OPTS)s }" % {
"DATAS": graph.series_json,
"OPTS": graph.options_json
}
return HttpResponse(content, mimetype="application/json")