This repository has been archived by the owner on Jan 7, 2023. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 76
/
Copy pathgenerate_lat_chart.py
204 lines (178 loc) · 7.75 KB
/
generate_lat_chart.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as pyplot
import json
import argparse
from collections import OrderedDict
import os
import operator
def main(args):
parser = argparse.ArgumentParser(description='Analyzer tool')
parser.add_argument(
'--path',
)
parser.add_argument(
'--output',
)
parser.add_argument(
'--return_type',
)
args = parser.parse_args(args)
output_name = "latency_line"
if (args.output):
output_name = args.output
path = "result.json"
if (args.path):
path = args.path
return_type = "events"
if (args.return_type):
return_type = args.return_type
with open( path ) as data_file:
data = json.load(data_file, object_pairs_hook=OrderedDict)
if not os.path.exists("%s" % output_name):
os.mkdir("%s" % output_name)
output_name = "%s/%s" % (output_name, output_name)
if return_type == "service_latency":
latency_dict = get_res(data, "service_latency")
for msg_type, trace in latency_dict.items():
pyplot.figure(figsize=(12,4))
for lat_level, lat_data in trace.items():
if lat_level == "Messenger":
continue
# pyplot.plot(lat_data.keys(), lat_data.values(), "o", label=lat_level)
pyplot.bar(lat_data.keys(), lat_data.values(), label=lat_level)
pyplot.xlabel("start_time(msec)")
pyplot.ylabel("latency(msec)")
pyplot.legend(loc = 'center left', bbox_to_anchor = (1, 0.5), prop={'size':6})
pyplot.grid(True)
x1,x2,y1,y2 = pyplot.axis()
pyplot.axis((x1,x2,0,y2))
pyplot.suptitle("%s" % "blkin_trace")
pic_name = '%s_%s.png' % (output_name, msg_type)
pyplot.savefig(pic_name)
pyplot.close()
elif return_type == "events":
events_dict = get_res(data, "events")
for msg_type, trace in events_dict.items():
print "Processing *** %s *** Tracepoints" % msg_type
output = []
max_events_count = 0
max_events_index = 0
# find the line has all the events and print align to this
for start_time, events in trace.items():
if len(events) > max_events_count:
max_events_count = len(events)
max_events_index = start_time
sorted_event_list = sorted(trace[max_events_index], key=trace[max_events_index].__getitem__)
sorted_event_list.remove('keyval')
event_list = sorted_event_list
keyval_list = sorted(trace[max_events_index]['keyval'], key=trace[max_events_index]['keyval'].__getitem__)
event_dict = OrderedDict()
for event in event_list:
event_dict[event] = OrderedDict()
output.append("%s,%s,%s" % ("start_time", ",".join(event_list), ",".join(keyval_list)))
for start_time, events in trace.items():
line = []
line.append(str(start_time))
for event in event_list:
if 'keyval' == event:
continue
if event in events:
if event != 'keyval':
line.append(events[event])
event_dict[event][start_time] = events[event]
else:
line.append("NULL")
event_dict[event][start_time] = 0
if 'keyval' in events:
for key in keyval_list:
if key in events['keyval']:
line.append(events['keyval'][key])
else:
line.append("NULL")
output.append( ",".join(line) )
with open( "%s_%s.csv" % (output_name, msg_type), 'w' ) as f:
f.write( "\n".join(output) )
pyplot.figure(figsize=(12,4))
for event_name, event_data in event_dict.items():
pyplot.plot(event_data.keys(), event_data.values(), marker="o", markersize=3 , label=event_name)
pyplot.xlabel("start_time(msec)")
pyplot.ylabel("latency(msec)")
pyplot.legend(loc="best", prop={'size':6})
pyplot.grid(True)
pyplot.suptitle("%s" % "blkin_trace")
pic_name = '%s_%s.png' % (output_name, msg_type)
pyplot.savefig(pic_name)
pyplot.close()
def get_res( data, return_type ):
res = OrderedDict()
first_start_time = None
for trace_id, trace_data in data.items():
trace_start = trace_data["start_timestamp"]
if not first_start_time:
first_start_time = trace_start
if return_type == "events":
trace_res = OrderedDict()
msg_type = get_sublevel( trace_start, trace_data, trace_res, first_start_time, return_type )
if msg_type not in res:
res[msg_type] = OrderedDict()
res[msg_type][(trace_start-first_start_time)/1000000] = trace_res
elif return_type == "service_latency":
get_sublevel( trace_start, trace_data, res, first_start_time, return_type )
return res
def get_sublevel( trace_start, trace_data, res, first_start_time, return_type, msg_type=None ):
for span_id, span_data in trace_data.items():
if not span_id.isdigit():
continue
# only handle span_id:span_data dict
if return_type == "service_latency":
msg_type = get_service_lat( trace_start, span_data, res, first_start_time, msg_type )
if return_type == "events":
msg_type_tmp = get_events_list( trace_start, span_data, res, first_start_time )
if msg_type_tmp != None:
msg_type = msg_type_tmp
if contains_sublevel( span_data ):
msg_type_tmp = get_sublevel( trace_start, span_data, res, first_start_time, return_type, msg_type )
if msg_type_tmp != None:
msg_type = msg_type_tmp
return msg_type
def contains_sublevel( span_data ):
for key in span_data:
if key.isdigit():
return True
return False
def get_service_lat(trace_start, span_data, res, first_start_time, msg_type):
level_name = "trace_name"
if "Messenger_type" in span_data:
msg_type = span_data["Messenger_type"]
if msg_type not in res:
res[msg_type] = OrderedDict()
if level_name in span_data:
service_name = span_data[level_name]
first_event = span_data["events"].keys()[0]
last_event = span_data["events"].keys()[-1]
lat = span_data["events"][last_event] - span_data["events"][first_event]
key = (trace_start - first_start_time)/1000000
value = "%.3f" % float(lat/1000000.0)
if service_name not in res[msg_type]:
res[msg_type][service_name] = OrderedDict()
res[msg_type][service_name][key] = value
return msg_type
def get_events_list(trace_start, span_data, res, first_start_time):
level_name = "trace_name"
if "events" in span_data:
for event, timestamp in span_data["events"].items():
value = "%.3f" % float(timestamp/1000000.0)
event = "%s_%s" % (span_data[level_name], event)
res[event] = value
ignore_list = ["events", "service_name", "trace_name", "cost", "priority"]
if "keyval" not in res:
res["keyval"] = OrderedDict()
for span_key, span_value in span_data.items():
if span_key not in ignore_list and not span_key.isdigit():
res["keyval"][span_key] = str(span_value)
if "Messenger_type" in span_data:
return span_data["Messenger_type"]
if __name__ == '__main__':
import sys
main(sys.argv[1:])