forked from docker-archive/docker-registry
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathbandwidth_parser.py
executable file
·253 lines (220 loc) · 8.61 KB
/
bandwidth_parser.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
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
#!/usr/bin/env python
import datetime
import json
import logging
import re
import redis
import sys
logging.basicConfig(format='%(asctime)s %(levelname)s: %(message)s',
level=logging.INFO)
logger = logging.getLogger('metrics')
redis_opts = {}
redis_conn = None
cache_prefix = 'bandwidth_log:'
control_cache_key = 'last_line_parsed'
logging_period = 60 * 24 # 24hs
logging_interval = 15 # 15 minutes
exp_time = 60 * 60 * 24 # Key expires in 24hs
try:
with open('/home/dotcloud/environment.json') as f:
env = json.load(f)
# Prod
redis_opts = {
'host': env['DOTCLOUD_REDIS_REDIS_HOST'],
'port': int(env['DOTCLOUD_REDIS_REDIS_PORT']),
'db': 1,
'password': env['DOTCLOUD_REDIS_REDIS_PASSWORD'],
}
except Exception:
# Dev
redis_opts = {
'host': 'localhost',
'port': 6380,
'db': 0,
'password': None,
}
def convert_str_to_datetime(date_str):
return datetime.datetime.strptime(date_str, '%d/%b/%Y:%H:%M:%S')
def raw_line_parser(str_line):
pattern = ("(?P<ip>\d{1,3}.\d{1,3}.\d{1,3}.\d{1,3}) - - \["
"(?P<date>\d{2}/\w+/\d{4}:\d{2}:\d{2}:\d{2})?\] \""
"(?P<http_request>\w+)? /\w+/\w+/"
"(?P<id>\w+)?/(?P<type>\w+)?")
pattern_2 = ".*?(\d+)$"
results = re.match(pattern, str_line)
if results is None:
return results
results = re.match(pattern, str_line).groupdict()
temp_results = re.match(pattern_2, str_line)
if temp_results is None:
results['size'] = None
return results
results['size'] = re.match(pattern_2, str_line).group(1)
return results
def compute_bandwidth(str_end_time, str_start_time, str_layer_size):
bandwidth = 0.0
if str_start_time is None:
return bandwidth
if str_end_time is None:
return bandwidth
if str_layer_size is None:
return bandwidth
start_time = convert_str_to_datetime(str_start_time)
end_time = convert_str_to_datetime(str_end_time)
layer_size = long(str_layer_size)
layer_size_kb = (layer_size * 8) / 1024 # Kilobits
delta = end_time - start_time
num_seconds = delta.total_seconds()
bandwidth = 0.0
if num_seconds and layer_size_kb > 100:
bandwidth = layer_size_kb / num_seconds # Kilobits-per-second (KB/s)
return bandwidth
def cache_key(key):
return cache_prefix + key
def set_cache(interval, bandwidth):
global redis_conn, exp_period
if redis_conn is None:
logger.error('Failed to find a redis connection.')
return
key = cache_key('{0}'.format(interval))
redis_conn.setex(key, exp_time, bandwidth) # time in seconds
logger.info('Saved in Redis: key: {0} bandwidth: {1}'.format(
key, bandwidth))
def adjust_current_interval(current_interval, end_time, items):
global logging_interval, logging_period
total_items = logging_period / logging_interval
logger.info('Skipping interval: {0}'.format(current_interval))
for i in range(items, total_items):
items = i + 1
current_interval -= datetime.timedelta(minutes=logging_interval)
if current_interval <= end_time:
break
logger.info('Skipping interval: {0}'.format(current_interval))
return current_interval, items
def save_bandwidth(bandwidth, key, items):
# Save the average bandwidth of the give items
avg_bandwidth = round(bandwidth[key] / items[key], 2)
logger.info('Saving in Redis...')
set_cache(key, avg_bandwidth)
def save_last_line_parsed(time):
global redis_conn, cache_prefix
if redis_conn is None:
logger.error('Failed to find a redis connection.')
return
key = cache_key(control_cache_key)
redis_conn.set(key, time)
logger.info('Last time saved: {0}'.format(time))
def get_last_line_parsed():
global redis_conn, cache_prefix
if redis_conn is None:
logger.error('Failed to find a redis connection.')
return
key = cache_key(control_cache_key)
return redis_conn.get(key)
def update_current_interval(items, logging_interval, start_time):
items += 1
interval = logging_interval * items
current_interval = start_time - datetime.timedelta(minutes=interval)
logger.info('Updating interval to: {0}'.format(current_interval))
return current_interval, items
def parse_data(item):
str_start_time = None
str_end_time = None
str_layer_size = None
key = None
if item['http_request'] is not None and item['type'] is not None:
if 'GET' in item['http_request'] and 'layer' in item['type']:
str_end_time = item['date']
elif 'GET' in item['http_request'] and 'json' in item['type']:
str_start_time = item['date']
str_layer_size = item['size']
key = item['id']
return str_start_time, str_end_time, str_layer_size, key
def read_file(file_name):
logger.info('Reading file...')
parsed_data = []
try:
with open(file_name) as f:
for line in reversed(f.readlines()):
processed_line = raw_line_parser(line.rstrip())
if processed_line is not None:
parsed_data.append(processed_line)
except IOError as e:
logger.error('Failed to read the file. {0}'.format(e))
exit(1)
return parsed_data
def generate_bandwidth_data(start_time, min_time, time_interval):
global logging_interval, logging_period
end_times = {}
bandwidth_items = {}
num_items = {}
total_items = logging_period / logging_interval
items = 1
parsed_data = read_file(sys.argv[1])
last_time_parsed = get_last_line_parsed()
most_recent_parsing = None
if last_time_parsed:
last_time_parsed = convert_str_to_datetime(last_time_parsed)
logger.info('Last time parsed: {0}'.format(last_time_parsed))
for item in parsed_data:
str_start_time, str_end_time, str_layer_size, key = parse_data(item)
if str_end_time:
end_times[key] = str_end_time
else:
str_end_time = end_times.get(key)
bandwidth = compute_bandwidth(str_end_time,
str_start_time,
str_layer_size)
if bandwidth:
end_time = convert_str_to_datetime(str_end_time)
if last_time_parsed:
if last_time_parsed >= end_time:
logger.info('Remaining data parsed already. Stopping...')
break
if end_time < min_time:
logger.info('Minimum date reached. Stopping...')
break
if items >= total_items:
logger.info('Maximum number of elements reached. Stopping...')
break
if time_interval > end_time:
if bandwidth_items.get(time_interval, 0):
save_bandwidth(bandwidth_items,
time_interval,
num_items)
if not most_recent_parsing:
most_recent_parsing = str_end_time
time_interval, items = \
update_current_interval(items,
logging_interval,
start_time)
else:
time_interval, items = \
adjust_current_interval(time_interval,
end_time,
items)
bandwidth_items[time_interval] = \
bandwidth_items.get(time_interval, 0.0) \
+ bandwidth
num_items[time_interval] = \
num_items.get(time_interval, 0.0) + 1
end_times.pop(key, None)
if most_recent_parsing:
save_last_line_parsed(most_recent_parsing)
def run():
global redis_conn, redis_opts
redis_conn = redis.StrictRedis(host=redis_opts['host'],
port=int(redis_opts['port']),
db=int(redis_opts['db']),
password=redis_opts['password'])
logger.info('Redis config: {0}'.format(redis_opts))
start_time = datetime.datetime.utcnow()
min_time = start_time - datetime.timedelta(minutes=logging_period)
time_interval = start_time - datetime.timedelta(minutes=logging_interval)
logger.info('Starting...')
generate_bandwidth_data(start_time, min_time, time_interval)
if __name__ == "__main__":
if len(sys.argv) == 1:
logger.error('Please specify the logfile path.')
exit(1)
run()