Adds to Melange a tags framework based on taggable-mixin.
The taggable-mixin allowed only tag per Datastore model. This is extended
framework allows any arbitrary number of tags per Datastore model. Also,
now one can define different models for different Tag types which are all
inherited from the base Tag model provided by taggable-mixin.
The GHOPTask model makes use of 2 tags per model, one for difficulty and the
other for task_type, both using the tags framework.
Reviewed by: Paweł Sołyga
#!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# 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.
#
"""Logging utilities for use by applications.
Classes defined here:
AppLogsHandler: StreamHandler subclass
"""
import logging
import sys
import types
NEWLINE_REPLACEMENT = "\0"
class AppLogsHandler(logging.StreamHandler):
"""Logging handler that will direct output to a persistent store of
application logs.
This handler will output log statements to stderr. This handler is
automatically initialized and attached to the Python common logging library.
"""
def __init__(self, stream=None):
"""Constructor.
Args:
# stream is optional. it defaults to sys.stderr.
stream: destination for output
"""
logging.StreamHandler.__init__(self, stream)
def close(self):
"""Closes the stream.
This implementation based on the implementation of FileHandler.close()."""
self.flush()
self.stream.close()
logging.StreamHandler.close(self)
def emit(self, record):
"""Emit a record.
This implementation is based on the implementation of
StreamHandler.emit()."""
try:
message = self._AppLogsMessage(record)
self.stream.write(message.encode("UTF-8"))
self.flush()
except (KeyboardInterrupt, SystemExit):
raise
except:
self.handleError(record)
def _AppLogsMessage(self, record):
"""Converts the log record into a log line."""
message = self.format(record).replace("\n", NEWLINE_REPLACEMENT)
return "LOG %d %d %s\n" % (self._AppLogsLevel(record.levelno),
long(record.created * 1000 * 1000),
message)
def _AppLogsLevel(self, level):
"""Converts the logging level used in Python to the API logging level"""
if level >= logging.CRITICAL:
return 4
elif level >= logging.ERROR:
return 3
elif level >= logging.WARNING:
return 2
elif level >= logging.INFO:
return 1
else:
return 0