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DDM_Deletion.py
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# Copyright 2013 II. Physikalisches Institut - Georg-August-Universitaet Goettingen
# Author: Christian Georg Wehrberger ([email protected])
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import hf
from sqlalchemy import TEXT, INT, FLOAT, Column
import json
class DDM_Deletion(hf.module.ModuleBase):
config_keys = {
'site_name': ('Site name', 'GOEGRID'),
'source_url': ('Source URL of the JSON file', 'both||http://bourricot.cern.ch/dq2/deletion/site/%s/period/1/format/json/'),
'deletion_errors_warning_threshold': ('Warning threshold for deletion errors: \
If this threshold is reached, \
the status of the module will be warning', '80'),
'deletion_errors_critical_threshold': ('Critical threshold for deletion errors: \
If this threshold is reached, \
the status of the module will be critical', '100'),
}
config_hint = ''
table_columns = [
Column('site_name', TEXT),
Column('source_url', TEXT),
], []
subtable_columns = {
'space_tokens_details_table': ([
Column('space_token_name', TEXT),
Column('datasets_to_delete', INT),
Column('datasets_waiting', INT),
Column('datasets_resolved', INT),
Column('datasets_queued', INT),
Column('datasets_deleted', INT),
Column('files_to_delete', INT),
Column('files_deleted', INT),
Column('gbs_to_delete', FLOAT),
Column('gbs_deleted', FLOAT),
Column('deletion_errors', INT),
], []),
}
def prepareAcquisition(self):
self.site_name = self.config['site_name']
self.source_url = self.config['source_url']%self.site_name
# prepare downloads
self.source = hf.downloadService.addDownload(self.source_url)
self.space_tokens_details_table_db_value_list = []
def extractData(self):
data = {
'site_name': self.site_name,
'source_url': self.source_url.split('|')[2],
'status': 1,
}
# read the downloaded files and parse json content
json_string = open(self.source.getTmpPath()).read()
json_content = json.loads(json_string)
for entry in json_content:
detail = {}
detail['space_token_name'] = entry['pk']
detail['datasets_to_delete'] = int(entry['fields']['datasets_to_delete'])
detail['datasets_waiting'] = int(entry['fields']['waiting'])
detail['datasets_resolved'] = int(entry['fields']['resolved'])
detail['datasets_queued'] = int(entry['fields']['queued'])
detail['datasets_deleted'] = int(entry['fields']['datasets'])
detail['files_to_delete'] = int(entry['fields']['files_to_delete'])
detail['files_deleted'] = int(entry['fields']['files'])
detail['gbs_to_delete'] = float(entry['fields']['gbs_to_delete'])
detail['gbs_deleted'] = float(entry['fields']['gbs'])
detail['deletion_errors'] = int(entry['fields']['errors'])
self.space_tokens_details_table_db_value_list.append(detail)
# apply a rating
for detail in self.space_tokens_details_table_db_value_list:
if int(detail['deletion_errors']) >= int(self.config['deletion_errors_critical_threshold']):
data['status'] = min(data['status'],0)
elif int(detail['deletion_errors']) >= int(self.config['deletion_errors_warning_threshold']):
data['status'] = min(data['status'],0.5)
else:
data['status'] = min(data['status'],1)
return data
def fillSubtables(self, parent_id):
self.subtables['space_tokens_details_table'].insert().\
execute([dict(parent_id=parent_id, **row) for row in self.space_tokens_details_table_db_value_list])
def getTemplateData(self):
data = hf.module.ModuleBase.getTemplateData(self)
space_tokens_details = self.subtables['space_tokens_details_table'].select().\
where(self.subtables['space_tokens_details_table'].c.parent_id==self.dataset['id']).execute().fetchall()
data['details'] = map(dict, space_tokens_details)
# make config settings available in html template
data['config_settings'] = {}
data['config_settings']['deletion_errors_warning_threshold'] = self.config['deletion_errors_warning_threshold']
data['config_settings']['deletion_errors_critical_threshold'] = self.config['deletion_errors_critical_threshold']
data['config_settings']['site_name'] = self.config['site_name']
# generate summary data and make it available in html template
data['summary'] = {
'datasets_to_delete': 0,
'datasets_waiting': 0,
'datasets_resolved': 0,
'datasets_queued': 0,
'datasets_deleted': 0,
'files_to_delete': 0,
'files_deleted': 0,
'gbs_to_delete': 0,
'gbs_deleted': 0,
'deletion_errors': 0,
}
for detail in data['details']:
data['summary']['datasets_to_delete'] += int(detail['datasets_to_delete'])
data['summary']['datasets_waiting'] += int(detail['datasets_waiting'])
data['summary']['datasets_resolved'] += int(detail['datasets_resolved'])
data['summary']['datasets_queued'] += int(detail['datasets_queued'])
data['summary']['datasets_deleted'] += int(detail['datasets_deleted'])
data['summary']['files_to_delete'] += int(detail['files_to_delete'])
data['summary']['files_deleted'] += int(detail['files_deleted'])
data['summary']['gbs_to_delete'] += float(detail['gbs_to_delete'])
data['summary']['gbs_deleted'] += float(detail['gbs_deleted'])
data['summary']['deletion_errors'] += int(detail['deletion_errors'])
return data