def charts():
if not g.id:
abort(400, "no graph id given")
j = TmpGraph.get(g.id)
if not j:
abort(400, "no such tmp_graph where id=%s" % g.id)
counters = j.counters
if not counters:
abort(400, "no counters of %s" % g.id)
counters = sorted(set(counters))
endpoints = j.endpoints
if not endpoints:
abort(400, "no endpoints of %s" % g.id)
endpoints = sorted(set(endpoints))
chart_urls = []
chart_ids = []
p = {
"id": "",
"legend": g.legend,
"cf": g.cf,
"sum": g.sum,
"graph_type": g.graph_type,
"nav_header": g.nav_header,
"start": g.start,
"end": g.end,
"comp_date": g.comp_date,
}
if g.graph_type == GRAPH_TYPE_KEY:
for x in endpoints:
id_ = TmpGraph.add([x], counters)
if not id_:
continue
p["id"] = id_
chart_ids.append(int(id_))
src = "/chart/h?" + urllib.urlencode(p)
chart_urls.append(src)
elif g.graph_type == GRAPH_TYPE_HOST:
for x in counters:
id_ = TmpGraph.add(endpoints, [x])
if not id_:
continue
p["id"] = id_
chart_ids.append(int(id_))
src = "/chart/h?" + urllib.urlencode(p)
chart_urls.append(src)
else:
id_ = TmpGraph.add(endpoints, counters)
if id_:
p["id"] = id_
chart_ids.append(int(id_))
src = "/chart/a?" + urllib.urlencode(p)
chart_urls.append(src)
return render_template("chart/multi_ng.html", **locals())
def charts():
if not g.id:
abort(400, "no graph id given")
j = TmpGraph.get(g.id)
if not j:
abort(400, "no such tmp_graph where id=%s" %g.id)
counters = j.counters
if not counters:
abort(400, "no counters of %s" %g.id)
counters = sorted(set(counters))
endpoints = j.endpoints
if not endpoints:
abort(400, "no endpoints of %s" %g.id)
endpoints = sorted(set(endpoints))
chart_urls = []
chart_ids = []
p = {
"id": "",
"legend": g.legend,
"cf": g.cf,
"sum": g.sum,
"graph_type": g.graph_type,
"nav_header": g.nav_header,
"start": g.start,
"end": g.end,
}
if g.graph_type == GRAPH_TYPE_KEY:
for x in endpoints:
id_ = TmpGraph.add([x], counters)
if not id_:
continue
p["id"] = id_
chart_ids.append(int(id_))
src = "/chart/h?" + urllib.urlencode(p)
chart_urls.append(src)
elif g.graph_type == GRAPH_TYPE_HOST:
for x in counters:
id_ = TmpGraph.add(endpoints, [x])
if not id_:
continue
p["id"] = id_
chart_ids.append(int(id_))
src = "/chart/h?" + urllib.urlencode(p)
chart_urls.append(src)
else:
id_ = TmpGraph.add(endpoints, counters)
if id_:
p["id"] = id_
chart_ids.append(int(id_))
src = "/chart/a?" + urllib.urlencode(p)
chart_urls.append(src)
return render_template("chart/multi_ng.html", **locals())
def multi_endpoints_chart_data():
if not g.id:
abort(400, "no graph id given")
j = TmpGraph.get(g.id)
if not j:
abort(400, "no such tmp_graph where id=%s" % g.id)
counters = j.counters
if not counters:
abort(400, "no counters of %s" % g.id)
counters = sorted(set(counters))
endpoints = j.endpoints
if not endpoints:
abort(400, "no endpoints of %s" % (g.id, ))
endpoints = sorted(set(endpoints))
ret = {"units": "", "title": "", "series": []}
c = counters[0]
ret['title'] = c
query_result = graph_history(endpoints, counters[:1], g.cf, g.start, g.end)
series = []
for i in range(0, len(query_result)):
x = query_result[i]
try:
xv = [(v["timestamp"] * 1000, v["value"]) for v in x["Values"]]
serie = {
"data": xv,
"name": query_result[i]["endpoint"],
"cf": g.cf,
"endpoint": query_result[i]["endpoint"],
"counter": query_result[i]["counter"],
}
series.append(serie)
except:
pass
sum_serie = {
"data": [],
"name": "sum",
"cf": g.cf,
"endpoint": "sum",
"counter": c,
}
if g.sum == "on" or g.sumonly == "on":
sum = []
tmp_ts = []
max_size = 0
for serie in series:
serie_vs = [x[1] for x in serie["data"]]
if len(serie_vs) > max_size:
max_size = len(serie_vs)
tmp_ts = [x[0] for x in serie["data"]]
sum = merge_list(sum, serie_vs)
sum_serie_data = []
for i in range(0, max_size):
sum_serie_data.append((tmp_ts[i], sum[i]))
sum_serie['data'] = sum_serie_data
series.append(sum_serie)
if g.sumonly == "on":
ret['series'] = [
sum_serie,
]
else:
ret['series'] = series
return json.dumps(ret)
def multi_endpoints_chart_data():
if not g.id:
abort(400, "no graph id given")
tmp_graph = TmpGraph.get(g.id)
if not tmp_graph:
abort(404, "no graph which id is %s" % g.id)
counters = tmp_graph.counters
if not counters:
abort(400, "no counters of %s" % g.id)
counters = sorted(set(counters))
endpoints = tmp_graph.endpoints
if not endpoints:
abort(400, "no endpoints of %s" % (g.id, ))
endpoints = sorted(set(endpoints))
ret = {"units": "", "title": "", "series": []}
ret['title'] = counters[0]
c = counters[0]
endpoint_counters = []
for e in endpoints:
endpoint_counters.append({
"endpoint": e,
"counter": c,
})
if g.comp_date > 0:
today = datetime.datetime.today()
today_start = int(time.mktime(today.date().timetuple()))
today_end = int(
time.mktime(
datetime.datetime(today.year, today.month, today.day, 23, 59,
59).timetuple()))
start = int(request.args.get("start") or 0)
end = int(request.args.get("end") or 0)
if start == 0 and end == 0:
g.start = today_start
g.end = today_end
lt = time.localtime(g.start)
day_start = int(
time.mktime(
datetime.datetime(lt.tm_year, lt.tm_mon, lt.tm_mday, 00, 00,
00).timetuple()))
duration = g.start - g.comp_date - (g.start - day_start)
query_result = graph_history(endpoints, counters, g.cf, g.start, g.end)
series = []
for i in range(0, len(query_result)):
x = query_result[i]
try:
xv = [(v["timestamp"] * 1000, v["value"]) for v in x["Values"]]
serie = {
"data": xv,
"name": query_result[i]["endpoint"],
"cf": g.cf,
"endpoint": query_result[i]["endpoint"],
"counter": query_result[i]["counter"],
}
if g.comp_date > 0:
serie["name"] = "This-Period: " + query_result[i]["endpoint"]
series.append(serie)
except:
pass
sum_serie = {
"data": [],
"name": "sum",
"cf": g.cf,
"endpoint": "sum",
"counter": c,
}
if g.comp_date > 0:
sum_serie["name"] = "This-Period: sum"
if g.sum == "on" or g.sumonly == "on":
sum = []
tmp_ts = []
max_size = 0
for serie in series:
serie_vs = [x[1] for x in serie["data"]]
if len(serie_vs) > max_size:
max_size = len(serie_vs)
tmp_ts = [x[0] for x in serie["data"]]
sum = merge_list(sum, serie_vs)
sum_serie_data = []
for i in range(0, max_size):
sum_serie_data.append((tmp_ts[i], sum[i]))
sum_serie['data'] = sum_serie_data
series.append(sum_serie)
if g.sumonly == "on":
ret['series'] = [
sum_serie,
]
else:
ret['series'] = series
if g.comp_date > 0:
series_comp = []
g.start = g.start - duration - 60
g.end = g.end - duration + 60
query_result = graph_history(endpoints, counters, g.cf, g.start, g.end)
for i in range(0, len(query_result)):
x = query_result[i]
try:
xv = [((v["timestamp"] + duration) * 1000, v["value"])
for v in x["Values"]]
serie = {
"data": xv,
"name": "Last-Period: " + query_result[i]["endpoint"],
"cf": g.cf,
"endpoint": query_result[i]["endpoint"],
"counter": query_result[i]["counter"],
}
series_comp.append(serie)
except:
pass
sum_serie_comp = {
"data": [],
"name": "Last-Period: sum",
"cf": g.cf,
"endpoint": "sum",
"counter": c,
}
if g.sum == "on" or g.sumonly == "on":
sum = []
tmp_ts = []
max_size = 0
for serie in series_comp:
serie_vs = [x[1] for x in serie["data"]]
if len(serie_vs) > max_size:
max_size = len(serie_vs)
tmp_ts = [x[0] for x in serie["data"]]
sum = merge_list(sum, serie_vs)
sum_serie_data = []
for i in range(0, max_size):
sum_serie_data.append((tmp_ts[i], sum[i]))
sum_serie_comp['data'] = sum_serie_data
series_comp.append(sum_serie_comp)
if g.sumonly == "on":
ret['series'] = [sum_serie, sum_serie_comp]
else:
series.extend(series_comp)
ret['series'] = series
return json.dumps(ret)
def multi_counters_chart_data():
if not g.id:
abort(400, "no graph id given")
j = TmpGraph.get(g.id)
if not j:
abort(400, "no such tmp_graph where id=%s" % g.id)
counters = j.counters
if not counters:
abort(400, "no counters of %s" % g.id)
counters = sorted(set(counters))
endpoints = j.endpoints
if not endpoints:
abort(400, "no endpoints of %s" % g.id)
endpoints = sorted(set(endpoints))
ret = {
"units": "",
"title": "",
"series": []
}
e = endpoints[0]
ret['title'] = e
query_result = graph_history(endpoints[:1], counters, g.cf, g.start, g.end)
series = []
for i in range(0, len(query_result)):
x = query_result[i]
try:
xv = [(v["timestamp"] * 1000, v["value"]) for v in x["Values"]]
serie = {
"data": xv,
"name": query_result[i]["counter"],
"cf": g.cf,
"endpoint": query_result[i]["endpoint"],
"counter": query_result[i]["counter"],
}
series.append(serie)
except:
print(traceback.format_exc())
pass
# 通过查看dashboard_grap判断是否存在环比看图
if g.dgid:
dg = DashboardGraph.get(g.dgid)
if dg.relativeday > 0:
query_result = graph_history(endpoints[:1], counters, g.cf, g.start - dg.relativeday * 24 * 3600,
g.end - dg.relativeday * 24 * 3600)
for i in range(0, len(query_result)):
x = query_result[i]
try:
xv = [((v["timestamp"] + dg.relativeday * 24 * 3600)* 1000, v["value"]) for v in x["Values"]]
serie = {
"data": xv,
"name": u"[环比:" + str(dg.relativeday) + u"天]" + query_result[i]["counter"],
"cf": g.cf,
"endpoint": query_result[i]["endpoint"],
"counter": query_result[i]["counter"],
}
series.append(serie)
except:
print(traceback.format_exc())
pass
sum_serie = {
"data": [],
"name": "sum",
"cf": g.cf,
"endpoint": e,
"counter": "sum",
}
if g.sum == "on" or g.sumonly == "on":
sum = []
tmp_ts = []
max_size = 0
for serie in series:
serie_vs = [x[1] for x in serie["data"]]
if len(serie_vs) > max_size:
max_size = len(serie_vs)
tmp_ts = [x[0] for x in serie["data"]]
sum = merge_list(sum, serie_vs)
sum_serie_data = []
for i in range(0, max_size):
sum_serie_data.append((tmp_ts[i], sum[i]))
sum_serie['data'] = sum_serie_data
series.append(sum_serie)
if g.sumonly == "on":
ret['series'] = [sum_serie, ]
else:
ret['series'] = series
return json.dumps(ret)
def multi_endpoints_chart_data():
if not g.id:
abort(400, "no graph id given")
j = TmpGraph.get(g.id)
if not j:
abort(400, "no such tmp_graph where id=%s" %g.id)
counters = j.counters
if not counters:
abort(400, "no counters of %s" %g.id)
counters = sorted(set(counters))
endpoints = j.endpoints
if not endpoints:
abort(400, "no endpoints of %s" %(g.id,))
endpoints = sorted(set(endpoints))
ret = {
"units": "",
"title": "",
"series": []
}
c = counters[0]
ret['title'] = c
query_result = graph_history(endpoints, counters[:1], g.cf, g.start, g.end)
series = []
for i in range(0, len(query_result)):
x = query_result[i]
try:
xv = [(v["timestamp"]*1000, v["value"]) for v in x["Values"]]
serie = {
"data": xv,
"name": query_result[i]["endpoint"],
"cf": g.cf,
"endpoint": query_result[i]["endpoint"],
"counter": query_result[i]["counter"],
}
series.append(serie)
except:
pass
sum_serie = {
"data": [],
"name": "sum",
"cf": g.cf,
"endpoint": "sum",
"counter": c,
}
if g.sum == "on" or g.sumonly == "on":
sum = []
tmp_ts = []
max_size = 0
for serie in series:
serie_vs = [x[1] for x in serie["data"]]
if len(serie_vs) > max_size:
max_size = len(serie_vs)
tmp_ts = [x[0] for x in serie["data"]]
sum = merge_list(sum, serie_vs)
sum_serie_data = []
for i in range(0, max_size):
sum_serie_data.append((tmp_ts[i], sum[i]))
sum_serie['data'] = sum_serie_data
series.append(sum_serie)
if g.sumonly == "on":
ret['series'] = [sum_serie,]
else:
ret['series'] = series
return json.dumps(ret)