def get_performance_Latency(request):
data = json.loads(request.body)
start_time = data["timestamp"] and int(data["timestamp"]) or int(time.time())-30
end_time = None
latency_opts = {
"metrics_name": "lantency",
"timestamp_start": start_time,
"timestamp_end": end_time,
"correct_cnt": None,
}
lantency_data = vsmapi.get_metrics_all_types(request,latency_opts)
latency_r_data = lantency_data.get('osd_op_r_latency',[])
latency_w_data = lantency_data.get('osd_op_w_latency',[])
latency_rw_data = lantency_data.get('osd_op_rw_latency',[])
items = {}
for r_metric in latency_r_data:
items[r_metric["timestamp"]] = {"timestamp": r_metric["timestamp"], "r_value": r_metric["metrics_value"] and round( r_metric["metrics_value"],2) or 0, "w_value": 0, "rw_value": 0}
for w_metric in latency_w_data:
if items.has_key(w_metric["timestamp"]):
items[w_metric["timestamp"]]["w_value"] = w_metric["metrics_value"] and round(w_metric["metrics_value"],2) or 0
for rw_metric in latency_rw_data:
if items.has_key(rw_metric["timestamp"]):
items[rw_metric["timestamp"]]["rw_value"] = rw_metric["metrics_value"] and round(rw_metric["metrics_value"],2) or 0
keys = items.keys()
keys.sort()
metric_list = [items[key] for key in keys]
ops_data_dict = {"metrics": metric_list}
ops_data = json.dumps(ops_data_dict)
return ops_data
def get_performance_Bandwith(request):
data = json.loads(request.body)
start_time = data["timestamp"] and int(data["timestamp"]) or int(time.time())-30
end_time = None
bandwidth_opts = {
"metrics_name":"bandwidth"
,"timestamp_start":start_time
,"timestamp_end":end_time
,"correct_cnt":None
}
bandwidth_data = vsmapi.get_metrics_all_types(request,bandwidth_opts)
bandwidth_in_data = bandwidth_data.get('osd_op_in_bytes',[])
bandwidth_out_data = bandwidth_data.get('osd_op_out_bytes',[])
items = {}
for in_metric in bandwidth_in_data:
items[in_metric["timestamp"]] = {"timestamp": in_metric["timestamp"], "in_value": in_metric["metrics_value"] and round(in_metric["metrics_value"],2) or 0, "out_value": 0}
for out_metric in bandwidth_out_data:
if items.has_key(out_metric["timestamp"]):
items[out_metric["timestamp"]]["out_value"] = out_metric["metrics_value"] and round(out_metric["metrics_value"],2) or 0
keys = items.keys()
keys.sort()
metric_list = [items[key] for key in keys]
ops_data_dict = {"metrics": metric_list}
ops_data = json.dumps(ops_data_dict)
return ops_data
def get_performance_IOPs(request):
data = json.loads(request.body)
start_time = data["timestamp"] and int(
data["timestamp"]) or int(time.time()) - 30
end_time = None
ops_opts = {
"metrics_name": "iops",
"timestamp_start": start_time,
"timestamp_end": end_time,
"correct_cnt": None,
}
#print 'test1111'
iops_data = vsmapi.get_metrics_all_types(request, ops_opts)
#print 'test222'
ops_r_data = iops_data.get('osd_op_r', [])
ops_w_data = iops_data.get('osd_op_w', [])
ops_rw_data = iops_data.get('osd_op_rw', [])
items = {}
for r_metric in ops_r_data:
items[r_metric["timestamp"]] = {
"timestamp": r_metric["timestamp"],
"r_value": r_metric["metrics_value"] or 0,
"w_value": 0,
"rw_value": 0
}
for w_metric in ops_w_data:
if items.has_key(w_metric["timestamp"]):
items[w_metric["timestamp"]][
"w_value"] = w_metric["metrics_value"] or 0
for rw_metric in ops_rw_data:
if items.has_key(rw_metric["timestamp"]):
items[rw_metric["timestamp"]][
"rw_value"] = rw_metric["metrics_value"] or 0
keys = items.keys()
keys.sort()
metric_list = [items[key] for key in keys]
ops_data_dict = {"metrics": metric_list}
ops_data = json.dumps(ops_data_dict)
return ops_data
def get_performance_IOPs(request):
data = json.loads(request.body)
start_time = data["timestamp"] and int(data["timestamp"]) or int(time.time())-30
end_time = None
ops_opts = {
"metrics_name": "iops",
"timestamp_start": start_time,
"timestamp_end": end_time,
"correct_cnt": None,
}
#print 'test1111'
iops_data = vsmapi.get_metrics_all_types(request,ops_opts)
#print 'test222'
ops_r_data = iops_data.get('osd_op_r',[])
ops_w_data = iops_data.get('osd_op_w',[])
ops_rw_data = iops_data.get('osd_op_rw',[])
items = {}
for r_metric in ops_r_data:
items[r_metric["timestamp"]] = {"timestamp": r_metric["timestamp"], "r_value": r_metric["metrics_value"] or 0, "w_value": 0, "rw_value": 0}
for w_metric in ops_w_data:
if items.has_key(w_metric["timestamp"]):
items[w_metric["timestamp"]]["w_value"] = w_metric["metrics_value"] or 0
for rw_metric in ops_rw_data:
if items.has_key(rw_metric["timestamp"]):
items[rw_metric["timestamp"]]["rw_value"] = rw_metric["metrics_value"] or 0
keys = items.keys()
keys.sort()
metric_list = [items[key] for key in keys]
ops_data_dict = {"metrics": metric_list}
ops_data = json.dumps(ops_data_dict)
return ops_data
