|
1
|
|
|
# coding: utf8 |
|
2
|
|
|
|
|
3
|
|
|
""" |
|
4
|
|
|
This software is licensed under the Apache 2 license, quoted below. |
|
5
|
|
|
|
|
6
|
|
|
Copyright 2014 Crystalnix Limited |
|
7
|
|
|
|
|
8
|
|
|
Licensed under the Apache License, Version 2.0 (the "License"); you may not |
|
9
|
|
|
use this file except in compliance with the License. You may obtain a copy of |
|
10
|
|
|
the License at |
|
11
|
|
|
|
|
12
|
|
|
http://www.apache.org/licenses/LICENSE-2.0 |
|
13
|
|
|
|
|
14
|
|
|
Unless required by applicable law or agreed to in writing, software |
|
15
|
|
|
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT |
|
16
|
|
|
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the |
|
17
|
|
|
License for the specific language governing permissions and limitations under |
|
18
|
|
|
the License. |
|
19
|
|
|
""" |
|
20
|
|
|
import time |
|
21
|
|
|
import logging |
|
22
|
|
|
import uuid |
|
23
|
|
|
import boto |
|
24
|
|
|
|
|
25
|
|
|
|
|
26
|
|
|
from django.template import defaultfilters as filters |
|
27
|
|
|
|
|
28
|
|
|
from omaha_server.celery import app |
|
29
|
|
|
from omaha_server.utils import add_extra_to_log_message, get_splunk_url |
|
30
|
|
|
from omaha import statistics |
|
31
|
|
|
from omaha.parser import parse_request |
|
32
|
|
|
from omaha.limitation import ( |
|
33
|
|
|
delete_older_than, |
|
34
|
|
|
delete_size_is_exceeded, |
|
35
|
|
|
delete_duplicate_crashes, |
|
36
|
|
|
monitoring_size, |
|
37
|
|
|
raven, |
|
38
|
|
|
handle_dangling_files |
|
39
|
|
|
) |
|
40
|
|
|
from omaha.models import Version |
|
41
|
|
|
from sparkle.models import SparkleVersion |
|
42
|
|
|
from crash.models import Crash, Symbols |
|
43
|
|
|
from feedback.models import Feedback |
|
44
|
|
|
|
|
45
|
|
|
logger = logging.getLogger(__name__) |
|
46
|
|
|
|
|
47
|
|
|
|
|
48
|
|
|
@app.task(ignore_result=True) |
|
49
|
|
|
def collect_statistics(request, ip=None): |
|
50
|
|
|
statistics.collect_statistics(parse_request(request), ip=ip) |
|
51
|
|
|
|
|
52
|
|
|
|
|
53
|
|
View Code Duplication |
@app.task(name='tasks.auto_delete_older_then', ignore_result=True) |
|
|
|
|
|
|
54
|
|
|
def auto_delete_older_than(): |
|
55
|
|
|
logger = logging.getLogger('limitation') |
|
56
|
|
|
model_list = [ |
|
57
|
|
|
('crash', 'Crash'), |
|
58
|
|
|
('feedback', 'Feedback') |
|
59
|
|
|
] |
|
60
|
|
|
for model in model_list: |
|
61
|
|
|
result = delete_older_than(*model) |
|
62
|
|
|
if result.get('count', 0): |
|
63
|
|
|
log_id = str(uuid.uuid4()) |
|
64
|
|
|
params = dict(log_id=log_id) |
|
65
|
|
|
splunk_url = get_splunk_url(params) |
|
66
|
|
|
splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
|
67
|
|
|
ids_list = sorted([element['id'] for element in result['elements']]) |
|
68
|
|
|
raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list} |
|
69
|
|
|
raven.captureMessage("[Limitation]Periodic task 'Older than' cleaned up %d %s, total size of cleaned space is %s [%d]" % |
|
70
|
|
|
(result['count'], model[1], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()), |
|
71
|
|
|
data=dict(level=20, logger='limitation'), extra=raven_extra) |
|
72
|
|
|
extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), model=model[1], reason='old') |
|
73
|
|
|
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra)) |
|
74
|
|
|
for element in result['elements']: |
|
75
|
|
|
element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')}) |
|
76
|
|
|
logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element)) |
|
77
|
|
|
|
|
78
|
|
|
|
|
79
|
|
View Code Duplication |
@app.task(name='tasks.auto_delete_size_is_exceeded', ignore_result=True) |
|
|
|
|
|
|
80
|
|
|
def auto_delete_size_is_exceeded(): |
|
81
|
|
|
logger = logging.getLogger('limitation') |
|
82
|
|
|
model_list = [ |
|
83
|
|
|
('crash', 'Crash'), |
|
84
|
|
|
('feedback', 'Feedback') |
|
85
|
|
|
] |
|
86
|
|
|
for model in model_list: |
|
87
|
|
|
result = delete_size_is_exceeded(*model) |
|
88
|
|
|
if result.get('count', 0): |
|
89
|
|
|
log_id = str(uuid.uuid4()) |
|
90
|
|
|
params = dict(log_id=log_id) |
|
91
|
|
|
splunk_url = get_splunk_url(params) |
|
92
|
|
|
splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
|
93
|
|
|
ids_list = sorted([element['id'] for element in result['elements']]) |
|
94
|
|
|
raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list} |
|
95
|
|
|
raven.captureMessage("[Limitation]Periodic task 'Size is exceeded' cleaned up %d %s, total size of cleaned space is %s [%d]" % |
|
96
|
|
|
(result['count'], model[1], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()), |
|
97
|
|
|
data=dict(level=20, logger='limitation'), extra=raven_extra) |
|
98
|
|
|
extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), model=model[1], reason='size_is_exceeded') |
|
99
|
|
|
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra)) |
|
100
|
|
|
for element in result['elements']: |
|
101
|
|
|
element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')}) |
|
102
|
|
|
logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element)) |
|
103
|
|
|
|
|
104
|
|
|
|
|
105
|
|
|
@app.task(name='tasks.auto_delete_duplicate_crashes', ignore_result=True) |
|
106
|
|
|
def auto_delete_duplicate_crashes(): |
|
107
|
|
|
logger = logging.getLogger('limitation') |
|
108
|
|
|
result = delete_duplicate_crashes() |
|
109
|
|
|
if result.get('count', 0): |
|
110
|
|
|
log_id = str(uuid.uuid4()) |
|
111
|
|
|
params = dict(log_id=log_id) |
|
112
|
|
|
splunk_url = get_splunk_url(params) |
|
113
|
|
|
splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
|
114
|
|
|
ids_list = sorted([element['id'] for element in result['elements']]) |
|
115
|
|
|
raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "crash_list": ids_list} |
|
116
|
|
|
raven.captureMessage("[Limitation]Periodic task 'Duplicated' cleaned up %d crashes, total size of cleaned space is %s [%d]" % |
|
117
|
|
|
(result['count'], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()), |
|
118
|
|
|
data=dict(level=20, logger='limitation'), extra=raven_extra) |
|
119
|
|
|
extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), reason='duplicated', model='Crash') |
|
120
|
|
|
logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra)) |
|
121
|
|
|
for element in result['elements']: |
|
122
|
|
|
element.update({"log_id": log_id, "Crash_id": element.pop('id')}) |
|
123
|
|
|
logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element)) |
|
124
|
|
|
|
|
125
|
|
|
|
|
126
|
|
|
@app.task(name='tasks.deferred_manual_cleanup') |
|
127
|
|
|
def deferred_manual_cleanup(model, limit_size=None, limit_days=None, limit_duplicated=None): |
|
128
|
|
|
logger = logging.getLogger('limitation') |
|
129
|
|
|
full_result = dict(count=0, size=0, elements=[]) |
|
130
|
|
|
if limit_duplicated: |
|
131
|
|
|
result = delete_duplicate_crashes(limit=limit_duplicated) |
|
132
|
|
|
if result.get('count', 0): |
|
133
|
|
|
full_result['count'] += result['count'] |
|
134
|
|
|
full_result['size'] += result['size'] |
|
135
|
|
|
full_result['elements'] += result['elements'] |
|
136
|
|
|
|
|
137
|
|
|
if limit_days: |
|
138
|
|
|
result = delete_older_than(*model, limit=limit_days) |
|
139
|
|
|
if result.get('count', 0): |
|
140
|
|
|
full_result['count'] += result['count'] |
|
141
|
|
|
full_result['size'] += result['size'] |
|
142
|
|
|
full_result['elements'] += result['elements'] |
|
143
|
|
|
|
|
144
|
|
|
if limit_size: |
|
145
|
|
|
result = delete_size_is_exceeded(*model, limit=limit_size) |
|
146
|
|
|
if result.get('count', 0): |
|
147
|
|
|
full_result['count'] += result['count'] |
|
148
|
|
|
full_result['size'] += result['size'] |
|
149
|
|
|
full_result['elements'] += result['elements'] |
|
150
|
|
|
|
|
151
|
|
|
log_id = str(uuid.uuid4()) |
|
152
|
|
|
params = dict(log_id=log_id) |
|
153
|
|
|
splunk_url = get_splunk_url(params) |
|
154
|
|
|
splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
|
155
|
|
|
ids_list = sorted([element['id'] for element in full_result['elements']]) |
|
156
|
|
|
raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list} |
|
157
|
|
|
raven.captureMessage("[Limitation]Manual cleanup freed %d %s, total size of cleaned space is %s [%s]" % |
|
158
|
|
|
(full_result['count'], model[1], filters.filesizeformat(full_result['size']).replace(u'\xa0', u' '), log_id), |
|
159
|
|
|
data=dict(level=20, logger='limitation'), extra=raven_extra) |
|
160
|
|
|
|
|
161
|
|
|
extra = dict(log_id=log_id, meta=True, count=full_result['count'], size=filters.filesizeformat(full_result['size']).replace(u'\xa0', u' '), model=model[1], |
|
162
|
|
|
limit_duplicated=limit_duplicated, limit_size=limit_size, limit_days=limit_days, reason='manual') |
|
163
|
|
|
logger.info(add_extra_to_log_message('Manual cleanup', extra=extra)) |
|
164
|
|
|
for element in full_result['elements']: |
|
165
|
|
|
element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')}) |
|
166
|
|
|
logger.info(add_extra_to_log_message('Manual cleanup element', extra=element)) |
|
167
|
|
|
|
|
168
|
|
|
|
|
169
|
|
|
@app.task(name='tasks.auto_monitoring_size', ignore_result=True) |
|
170
|
|
|
def auto_monitoring_size(): |
|
171
|
|
|
monitoring_size() |
|
172
|
|
|
|
|
173
|
|
|
|
|
174
|
|
|
def get_prefix(model_name): |
|
175
|
|
|
model_path_prefix = { |
|
176
|
|
|
Crash: ('minidump', 'minidump_archive'), |
|
177
|
|
|
Feedback: ('blackbox', 'system_logs', 'feedback_attach', 'screenshot'), |
|
178
|
|
|
Symbols: ('symbols',), |
|
179
|
|
|
Version: ('build',), |
|
180
|
|
|
SparkleVersion: ('sparkle',) |
|
181
|
|
|
} |
|
182
|
|
|
return model_path_prefix[model_name] |
|
183
|
|
|
|
|
184
|
|
|
|
|
185
|
|
|
@app.task(name='tasks.auto_delete_dangling_files', ignore_result=True) |
|
186
|
|
|
def auto_delete_dangling_files(): |
|
187
|
|
|
logger = logging.getLogger('limitation') |
|
188
|
|
|
model_kwargs_list = [ |
|
189
|
|
|
{'model': Crash, 'file_fields': ('upload_file_minidump', 'archive')}, |
|
190
|
|
|
{'model': Feedback, 'file_fields': ('blackbox', 'system_logs', 'attached_file', 'screenshot')}, |
|
191
|
|
|
{'model': Symbols, 'file_fields': ('file', )}, |
|
192
|
|
|
{'model': Version, 'file_fields': ('file', )}, |
|
193
|
|
|
{'model': SparkleVersion, 'file_fields': ('file', )} |
|
194
|
|
|
] |
|
195
|
|
|
for model_kwargs in model_kwargs_list: |
|
196
|
|
|
result = handle_dangling_files( |
|
197
|
|
|
prefix=get_prefix(model_kwargs['model']), |
|
198
|
|
|
**model_kwargs |
|
199
|
|
|
) |
|
200
|
|
|
if result['mark'] == 'db': |
|
201
|
|
|
logger.info('Dangling files detected in db [%d], files path: %s' % (result['count'], result['data'])) |
|
202
|
|
|
raven.captureMessage( |
|
203
|
|
|
"[Limitation]Dangling files detected in db, total: %d" % result['count'], |
|
204
|
|
|
data=dict(level=20, logger='limitation') |
|
205
|
|
|
) |
|
206
|
|
|
elif result['mark'] == 's3': |
|
207
|
|
|
logger.info('Dangling files deleted from s3 [%d], files path: %s' % (result['count'], result['data'])) |
|
208
|
|
|
raven.captureMessage( |
|
209
|
|
|
"[Limitation]Dangling files deleted from s3, cleaned up %d files" % result['count'], |
|
210
|
|
|
data=dict(level=20, logger='limitation') |
|
211
|
|
|
) |
|
212
|
|
|
else: |
|
213
|
|
|
logger.info('Dangling files not detected') |
|
214
|
|
|
|
Crystalnix /
omaha-server
Loading history...