Argument store added to updateEntityProperties.
This argument determines if an entity should be stored in the data model after its properties are updated.
It may be useful, for example, along with tasks (Task Queue API). One may want to make some modifications to an entity during execution of a task, but the developer is sure that at least one new task, which also wants to modify the entity, will be queued, so he or she can just update the entity without saving the changes to the data model, set the entity in memcache and the following task (which is to be executed very shortly) is to retrive the current entity from the memcache (without any expensive calls to the actual data model).
#!/usr/bin/python2.5
#
# Copyright 2009 the Melange authors.
#
# 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.
"""This module supplies an interactive shell with remote api configured.
Usage is simple:
App Engine interactive console
>>> from soc.models.user import User
>>> gen = lambda: User.all()
>>> it = deepFetch(gen)
>>> result = [i for i in it]
"""
__authors__ = [
'"Sverre Rabbelier" <sverre@rabbelier.nl>',
'"Pawel Solyga" <pawel.solyga@gmail.com>',
]
import code
import getpass
import os
import sys
def auth_func():
"""Returns a tuple with username and password.
"""
return raw_input('Username:'), getpass.getpass('Password:')
def deepFetch(queryGen, key=None, filters=None, batchSize = 100):
"""Iterator that yields an entity in batches.
Args:
queryGen: should return a Query object
key: used to .filter() for __key__
filters: dict with additional filters
batchSize: how many entities to retrieve in one datastore call
Retrieved from http://tinyurl.com/d887ll (AppEngine cookbook).
"""
from google.appengine.ext import db
# AppEngine will not fetch more than 1000 results
batchSize = min(batchSize, 1000)
query = None
done = False
count = 0
if key:
key = db.Key(key)
while not done:
print count
query = queryGen()
if filters:
for key, value in filters.items():
query.filter(key, value)
if key:
query.filter("__key__ > ", key)
results = query.fetch(batchSize)
for result in results:
count += 1
yield result
if batchSize > len(results):
done = True
else:
key = results[-1].key()
def remote(args, context=None):
"""Starts a shell with the datastore as remote_api_stub.
Args:
args: arguments from the user
context: locals that should be added to the shell
"""
from google.appengine.ext import db
from google.appengine.ext.remote_api import remote_api_stub
if not context:
context = {}
app_id = args[0]
if len(args) > 1:
host = args[1]
else:
host = '%s.appspot.com' % app_id
remote_api_stub.ConfigureRemoteDatastore(app_id, '/remote_api', auth_func, host)
context['deepFetch'] = deepFetch
code.interact('App Engine interactive console for %s' % (app_id,), None, context)
def setup():
"""Sets up the sys.path and environment for development.
"""
here = os.path.abspath(__file__)
here = os.path.join(os.path.dirname(here), '..')
here = os.path.normpath(here)
appengine_location = os.path.join(here, 'thirdparty', 'google_appengine')
extra_paths = [here,
os.path.join(appengine_location, 'lib', 'django'),
os.path.join(appengine_location, 'lib', 'webob'),
os.path.join(appengine_location, 'lib', 'yaml', 'lib'),
appengine_location,
os.path.join(here, 'app'),
]
sys.path = extra_paths + sys.path
os.environ['SERVER_SOFTWARE'] = 'Development Interactive Shell'
import main as app_main
def main(args):
"""Convenience wrapper that calls setup and remote.
"""
setup()
remote(args)
if __name__ == '__main__':
if len(sys.argv) < 2:
print "Usage: %s app_id [host]" % (sys.argv[0],)
sys.exit(1)
main(sys.argv[1:])