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# coding: utf8 |
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""" |
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This software is licensed under the Apache 2 license, quoted below. |
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Copyright 2014 Crystalnix Limited |
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Licensed under the Apache License, Version 2.0 (the "License"); you may not |
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use this file except in compliance with the License. You may obtain a copy of |
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the License at |
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http://www.apache.org/licenses/LICENSE-2.0 |
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Unless required by applicable law or agreed to in writing, software |
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distributed under the License is distributed on an "AS IS" BASIS, WITHOUT |
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WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the |
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License for the specific language governing permissions and limitations under |
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the License. |
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""" |
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import time |
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import logging |
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import uuid |
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import boto |
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from django.template import defaultfilters as filters |
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from omaha_server.celery import app |
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from omaha_server.utils import add_extra_to_log_message, get_splunk_url |
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from omaha import statistics |
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from omaha.parser import parse_request |
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from omaha.limitation import ( |
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delete_older_than, |
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delete_size_is_exceeded, |
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delete_duplicate_crashes, |
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monitoring_size, |
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raven, |
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handle_dangling_files |
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) |
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from omaha.models import Version |
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from sparkle.models import SparkleVersion |
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from crash.models import Crash, Symbols |
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from feedback.models import Feedback |
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logger = logging.getLogger(__name__) |
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@app.task(ignore_result=True) |
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def collect_statistics(request, ip=None): |
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statistics.collect_statistics(parse_request(request), ip=ip) |
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@app.task(name='tasks.auto_delete_older_then', ignore_result=True) |
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def auto_delete_older_than(): |
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logger = logging.getLogger('limitation') |
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model_list = [ |
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('crash', 'Crash'), |
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('feedback', 'Feedback') |
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] |
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for model in model_list: |
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result = delete_older_than(*model) |
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View Code Duplication |
if result.get('count', 0): |
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log_id = str(uuid.uuid4()) |
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params = dict(log_id=log_id) |
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splunk_url = get_splunk_url(params) |
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splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
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ids_list = sorted([element['id'] for element in result['elements']]) |
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raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list} |
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raven.captureMessage("[Limitation]Periodic task 'Older than' cleaned up %d %s, total size of cleaned space is %s [%d]" % |
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(result['count'], model[1], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()), |
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data=dict(level=20, logger='limitation'), extra=raven_extra) |
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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') |
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logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra)) |
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for element in result['elements']: |
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element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')}) |
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logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element)) |
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@app.task(name='tasks.auto_delete_size_is_exceeded', ignore_result=True) |
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def auto_delete_size_is_exceeded(): |
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logger = logging.getLogger('limitation') |
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model_list = [ |
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('crash', 'Crash'), |
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('feedback', 'Feedback') |
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] |
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for model in model_list: |
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result = delete_size_is_exceeded(*model) |
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View Code Duplication |
if result.get('count', 0): |
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log_id = str(uuid.uuid4()) |
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params = dict(log_id=log_id) |
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splunk_url = get_splunk_url(params) |
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splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
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ids_list = sorted([element['id'] for element in result['elements']]) |
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raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list} |
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raven.captureMessage("[Limitation]Periodic task 'Size is exceeded' cleaned up %d %s, total size of cleaned space is %s [%d]" % |
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(result['count'], model[1], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()), |
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data=dict(level=20, logger='limitation'), extra=raven_extra) |
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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') |
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logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra)) |
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for element in result['elements']: |
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element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')}) |
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logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element)) |
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@app.task(name='tasks.auto_delete_duplicate_crashes', ignore_result=True) |
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def auto_delete_duplicate_crashes(): |
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logger = logging.getLogger('limitation') |
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result = delete_duplicate_crashes() |
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if result.get('count', 0): |
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log_id = str(uuid.uuid4()) |
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params = dict(log_id=log_id) |
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splunk_url = get_splunk_url(params) |
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splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
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ids_list = sorted([element['id'] for element in result['elements']]) |
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raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "crash_list": ids_list} |
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raven.captureMessage("[Limitation]Periodic task 'Duplicated' cleaned up %d crashes, total size of cleaned space is %s [%d]" % |
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(result['count'], filters.filesizeformat(result['size']).replace(u'\xa0', u' '), time.time()), |
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data=dict(level=20, logger='limitation'), extra=raven_extra) |
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extra = dict(log_id=log_id, meta=True, count=result['count'], size=filters.filesizeformat(result['size']).replace(u'\xa0', u' '), reason='duplicated', model='Crash') |
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logger.info(add_extra_to_log_message('Automatic cleanup', extra=extra)) |
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for element in result['elements']: |
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element.update({"log_id": log_id, "Crash_id": element.pop('id')}) |
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logger.info(add_extra_to_log_message('Automatic cleanup element', extra=element)) |
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@app.task(name='tasks.deferred_manual_cleanup') |
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def deferred_manual_cleanup(model, limit_size=None, limit_days=None, limit_duplicated=None): |
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logger = logging.getLogger('limitation') |
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full_result = dict(count=0, size=0, elements=[]) |
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if limit_duplicated: |
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result = delete_duplicate_crashes(limit=limit_duplicated) |
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if result.get('count', 0): |
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full_result['count'] += result['count'] |
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full_result['size'] += result['size'] |
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full_result['elements'] += result['elements'] |
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if limit_days: |
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result = delete_older_than(*model, limit=limit_days) |
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if result.get('count', 0): |
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full_result['count'] += result['count'] |
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full_result['size'] += result['size'] |
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full_result['elements'] += result['elements'] |
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if limit_size: |
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result = delete_size_is_exceeded(*model, limit=limit_size) |
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if result.get('count', 0): |
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full_result['count'] += result['count'] |
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full_result['size'] += result['size'] |
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full_result['elements'] += result['elements'] |
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log_id = str(uuid.uuid4()) |
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params = dict(log_id=log_id) |
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splunk_url = get_splunk_url(params) |
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splunk_filter = 'log_id=%s' % log_id if splunk_url else None |
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ids_list = sorted([element['id'] for element in full_result['elements']]) |
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raven_extra = {"id": log_id, "splunk_url": splunk_url, "splunk_filter": splunk_filter, "%s_list" % (model[1]): ids_list} |
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raven.captureMessage("[Limitation]Manual cleanup freed %d %s, total size of cleaned space is %s [%s]" % |
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(full_result['count'], model[1], filters.filesizeformat(full_result['size']).replace(u'\xa0', u' '), log_id), |
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data=dict(level=20, logger='limitation'), extra=raven_extra) |
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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], |
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limit_duplicated=limit_duplicated, limit_size=limit_size, limit_days=limit_days, reason='manual') |
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logger.info(add_extra_to_log_message('Manual cleanup', extra=extra)) |
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for element in full_result['elements']: |
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element.update({"log_id": log_id, "%s_id" % (model[1]): element.pop('id')}) |
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logger.info(add_extra_to_log_message('Manual cleanup element', extra=element)) |
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@app.task(name='tasks.auto_monitoring_size', ignore_result=True) |
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def auto_monitoring_size(): |
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monitoring_size() |
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def get_prefix(model_name): |
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model_path_prefix = { |
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Crash: ('minidump', 'minidump_archive'), |
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Feedback: ('blackbox', 'system_logs', 'feedback_attach', 'screenshot'), |
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Symbols: ('symbols',), |
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Version: ('build',), |
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SparkleVersion: ('sparkle',) |
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} |
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return model_path_prefix[model_name] |
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@app.task(name='tasks.auto_delete_dangling_files', ignore_result=True) |
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def auto_delete_dangling_files(): |
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logger = logging.getLogger('limitation') |
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model_kwargs_list = [ |
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{'model': Crash, 'file_fields': ('upload_file_minidump', 'archive')}, |
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{'model': Feedback, 'file_fields': ('blackbox', 'system_logs', 'attached_file', 'screenshot')}, |
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{'model': Symbols, 'file_fields': ('file', )}, |
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{'model': Version, 'file_fields': ('file', )}, |
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{'model': SparkleVersion, 'file_fields': ('file', )} |
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] |
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for model_kwargs in model_kwargs_list: |
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result = handle_dangling_files( |
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prefix=get_prefix(model_kwargs['model']), |
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**model_kwargs |
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) |
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if result['mark'] == 'db': |
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logger.info('Dangling files detected in db [%d], files path: %s' % (result['count'], result['data'])) |
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raven.captureMessage( |
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"[Limitation]Dangling files detected in db, total: %d" % result['count'], |
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data=dict(level=20, logger='limitation') |
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) |
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elif result['mark'] == 's3': |
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logger.info('Dangling files deleted from s3 [%d], files path: %s' % (result['count'], result['data'])) |
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raven.captureMessage( |
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"[Limitation]Dangling files deleted from s3, cleaned up %d files" % result['count'], |
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data=dict(level=20, logger='limitation') |
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) |
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else: |
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logger.info('Dangling files not detected') |
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Crystalnix /
omaha-server
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