def search(cls, params, limit, offset=None, cursor=None, message=False, count=False):
"""Returns (records, cursor).
Arguments
args - Dictionary with Darwin Core concept keys
keywords - list of keywords to search on
"""
ctx = tasklets.get_context()
ctx.set_memcache_policy(False)
qry = RecordIndex.query()
# Add darwin core name filters
args = params['terms']
if len(args) > 0:
gql = 'SELECT * FROM RecordIndex WHERE'
for k,v in args.iteritems():
gql = "%s %s = '%s' AND " % (gql, k, v)
gql = gql[:-5] # Removes trailing AND
logging.info(gql)
# qry = query.parse_gql(gql)[0]
qry = ndb.gql(gql)
# Add full text keyword filters
keywords = params['keywords']
for keyword in keywords:
qry = qry.filter(RecordIndex.corpus == keyword)
# Add sort orders:
#qry = qry.order(RecordIndex.institutioncode)
#qry = qry.order(RecordIndex.genus)
#qry = qry.order(RecordIndex.specificepithet)
#qry = qry.order(RecordIndex.country)
#qry = qry.order(RecordIndex.year)
logging.info('QUERY='+str(qry))
# Setup query paging
#limit = params['limit']
#cursor = params['cursor']
if count:
return qry.count();
if cursor:
index_keys, next_cursor, more = qry.fetch_page(limit,
start_cursor=cursor, keys_only=True)
record_keys = [x.parent() for x in index_keys]
else:
index_keys, next_cursor, more = qry.fetch_page(limit, offset=offset,
keys_only=True)
record_keys = [x.parent() for x in index_keys]
# Return results
records = [x for x in ndb.get_multi(record_keys) if x]
if message:
records = [x.message for x in records if x]
count = qry.count(limit=1000)
return (records, next_cursor, more, count)
def search(cls, params, limit, offset=None, cursor=None, message=False, count=False):
"""Returns (records, cursor).
Arguments
args - Dictionary with Darwin Core concept keys
keywords - list of keywords to search on
"""
ctx = tasklets.get_context()
ctx.set_memcache_policy(False)
qry = RecordIndex.query()
# Add darwin core name filters
args = params['terms']
if len(args) > 0:
gql = 'SELECT * FROM RecordIndex WHERE'
for k,v in args.iteritems():
gql = "%s %s = '%s' AND " % (gql, k, v)
gql = gql[:-5] # Removes trailing AND
logging.info(gql)
# qry = query.parse_gql(gql)[0]
qry = ndb.gql(gql)
# Add full text keyword filters
keywords = params['keywords']
for keyword in keywords:
qry = qry.filter(RecordIndex.corpus == keyword)
# Add sort orders:
#qry = qry.order(RecordIndex.institutioncode)
#qry = qry.order(RecordIndex.genus)
#qry = qry.order(RecordIndex.specificepithet)
#qry = qry.order(RecordIndex.country)
#qry = qry.order(RecordIndex.year)
logging.info('QUERY='+str(qry))
# Setup query paging
#limit = params['limit']
#cursor = params['cursor']
if count:
return qry.count();
if cursor:
index_keys, next_cursor, more = qry.fetch_page(limit,
start_cursor=cursor, keys_only=True)
record_keys = [x.parent() for x in index_keys]
else:
index_keys, next_cursor, more = qry.fetch_page(limit, offset=offset,
keys_only=True)
record_keys = [x.parent() for x in index_keys]
# Return results
records = [x for x in ndb.get_multi(record_keys) if x]
if message:
records = [x.message for x in records if x]
count = qry.count(limit=1000)
return (records, next_cursor, more, count)
def setup_context_cache(self):
"""Set up the context cache.
We only need cache active when testing the cache, so the default
behavior is to disable it to avoid misleading test results. Override
this when needed.
"""
ctx = tasklets.get_context()
ctx.set_cache_policy(False)
ctx.set_memcache_policy(False)
def setup_context_cache(self):
"""Set up the context cache.
We only need cache active when testing the cache, so the default
behavior is to disable it to avoid misleading test results. Override
this when needed.
"""
ctx = tasklets.get_context()
ctx.set_cache_policy(False)
ctx.set_memcache_policy(False)
def get_async(self, **ctx_options):
"""Return a Future whose result is the entity for this Key.
If no such entity exists, a Future is still returned, and the
Future's eventual return result be None.
"""
from google.appengine.ext.ndb import model, tasklets
ctx = tasklets.get_context()
cls = model.Model._kind_map.get(self.kind())
if cls:
cls._pre_get_hook(self)
fut = ctx.get(self, **ctx_options)
if cls:
post_hook = cls._post_get_hook
if not cls._is_default_hook(model.Model._default_post_get_hook,
post_hook):
fut.add_immediate_callback(post_hook, self, fut)
return fut
def delete_async(self, **ctx_options):
"""Schedule deletion of the entity for this Key.
This returns a Future, whose result becomes available once the
deletion is complete. If no such entity exists, a Future is still
returned. In all cases the Future's result is None (i.e. there is
no way to tell whether the entity existed or not).
"""
from google.appengine.ext.ndb import tasklets, model
ctx = tasklets.get_context()
cls = model.Model._kind_map.get(self.kind())
if cls:
cls._pre_delete_hook(self)
fut = ctx.delete(self, **ctx_options)
if cls:
post_hook = cls._post_delete_hook
if not cls._is_default_hook(model.Model._default_post_delete_hook,
post_hook):
fut.add_immediate_callback(post_hook, self, fut)
return fut
def ctx(): ctx = tasklets.get_context() ctx.set_cache_policy(False) ctx.set_memcache_policy(False) return ctx
def _finish():
ctx = tasklets.get_context()
tasklets.set_context(None)
ctx.flush().check_success()
eventloop.run()
