def check_layer(self, layer):
LOGGER.debug('Checking layer %s' % layer.name)
success, message = layer.check_available()
# every time a layer is checked it should be indexed
# for now we remove indexing but we do it using a scheduled task unless SKIP_CELERY_TASK
if success and SEARCH_ENABLED:
if settings.REGISTRY_SKIP_CELERY:
index_layer(layer)
else:
# we cache the layer id
LOGGER.debug('Caching layer with id %s for syncing with search engine' % layer.id)
layers = cache.get('layers')
if layers is None:
layers = set([layer.id])
else:
layers.add(layer.id)
cache.set('layers', layers)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
def check_layer(self, layer):
print 'Checking layer %s' % layer.name
success, message = layer.check_available()
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(task_name=self.name,
args=layer.id,
message=message)
task_error.save()
def check_layer(self, layer):
print 'Checking layer %s' % layer.name
success, message = layer.check_available()
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
def index_layer(self, layer):
# TODO: Make this function more DRY
# by abstracting the common bits.
if settings.SEARCH_TYPE == 'solr':
from hypermap.aggregator.solr import SolrHypermap
print 'Syncing layer %s to solr' % layer.name
try:
solrobject = SolrHypermap()
success, message = solrobject.layer_to_solr(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(task_name=self.name,
args=layer.id,
message=message)
task_error.save()
except:
print 'There was an exception here!'
self.retry(layer)
elif settings.SEARCH_TYPE == 'elasticsearch':
from hypermap.aggregator.elasticsearch_client import ESHypermap
print 'Syncing layer %s to es' % layer.name
esobject = ESHypermap()
success, message = esobject.layer_to_es(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(task_name=self.name,
args=layer.id,
message=message)
task_error.save()
def check_layer(self, layer):
print 'Checking layer %s' % layer.name
success, message = layer.check_available()
# every time a layer is checked it should be indexed
if success and settings.SEARCH_ENABLED:
if not settings.SKIP_CELERY_TASK:
index_layer.delay(layer)
else:
index_layer(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
def check_layer(self, layer):
LOGGER.debug('Checking layer %s' % layer.name)
success, message = layer.check_available()
# every time a layer is checked it should be indexed
# for now we remove indexing but we do it using a scheduled task unless SKIP_CELERY_TASK
if success and SEARCH_ENABLED:
if settings.REGISTRY_SKIP_CELERY:
index_layer(layer)
else:
index_layer(layer, use_cache=True)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(task_name=self.name,
args=layer.id,
message=message)
task_error.save()
def check_layer(self, layer):
LOGGER.debug('Checking layer %s' % layer.name)
success, message = layer.check_available()
# every time a layer is checked it should be indexed
# for now we remove indexing but we do it using a scheduled task unless SKIP_CELERY_TASK
if success and SEARCH_ENABLED:
if settings.REGISTRY_SKIP_CELERY:
index_layer(layer)
else:
index_layer(layer, use_cache=True)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
def index_layer(self, layer):
# TODO: Make this function more DRY
# by abstracting the common bits.
if SEARCH_TYPE == 'solr':
from hypermap.aggregator.solr import SolrHypermap
LOGGER.debug('Syncing layer %s to solr' % layer.name)
try:
solrobject = SolrHypermap()
success, message = solrobject.layer_to_solr(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
except Exception, e:
LOGGER.error('Layers NOT indexed correctly')
LOGGER.error(e, exc_info=True)
self.retry(layer)
def index_layer(self, layer):
# TODO: Make this function more DRY
# by abstracting the common bits.
if settings.SEARCH_TYPE == 'solr':
from hypermap.aggregator.solr import SolrHypermap
print 'Syncing layer %s to solr' % layer.name
try:
solrobject = SolrHypermap()
success, message = solrobject.layer_to_solr(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
except:
print 'There was an exception here!'
self.retry(layer)
elif settings.SEARCH_TYPE == 'elasticsearch':
from hypermap.aggregator.elasticsearch_client import ESHypermap
print 'Syncing layer %s to es' % layer.name
esobject = ESHypermap()
success, message = esobject.layer_to_es(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
def index_layer(self, layer, use_cache=False):
"""Index a layer in the search backend.
If cache is set, append it to the list, if it isn't send the transaction right away.
cache needs memcached to be available.
"""
if use_cache:
LOGGER.debug('Caching layer with id %s for syncing with search engine' % layer.id)
layers = cache.get('layers')
if layers is None:
layers = set([layer.id])
else:
layers.add(layer.id)
cache.set('layers', layers)
return
# TODO: Make this function more DRY
# by abstracting the common bits.
if SEARCH_TYPE == 'solr':
from hypermap.aggregator.solr import SolrHypermap
LOGGER.debug('Syncing layer %s to solr' % layer.name)
try:
solrobject = SolrHypermap()
success, message = solrobject.layer_to_solr(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
except Exception, e:
LOGGER.error('Layers NOT indexed correctly')
LOGGER.error(e, exc_info=True)
self.retry(layer)
def index_cached_layers(self):
"""
Index all layers in the Django cache (Index all layers who have been checked).
"""
from hypermap.aggregator.models import Layer
from hypermap.aggregator.models import TaskError
if SEARCH_TYPE == 'solr':
from hypermap.aggregator.solr import SolrHypermap
solrobject = SolrHypermap()
else:
from hypermap.aggregator.elasticsearch_client import ESHypermap
from elasticsearch import helpers
es_client = ESHypermap()
layers_cache = cache.get('layers')
if layers_cache:
layers_list = list(layers_cache)
LOGGER.debug('There are %s layers in cache: %s' % (len(layers_list), layers_list))
batch_size = settings.REGISTRY_SEARCH_BATCH_SIZE
batch_lists = [layers_list[i:i+batch_size] for i in range(0, len(layers_list), batch_size)]
for batch_list_ids in batch_lists:
layers = Layer.objects.filter(id__in=batch_list_ids)
if batch_size > len(layers):
batch_size = len(layers)
LOGGER.debug('Syncing %s/%s layers to %s: %s' % (batch_size, len(layers_cache), layers, SEARCH_TYPE))
try:
if SEARCH_TYPE == 'solr':
success, message = solrobject.layers_to_solr(layers)
elif SEARCH_TYPE == 'elasticsearch':
with_bulk, success = True, False
layers_to_index = [es_client.layer_to_es(layer, with_bulk) for layer in layers]
message = helpers.bulk(es_client.es, layers_to_index)
# Check that all layers where indexed...if not, don't clear cache.
# TODO: Check why es does not index all layers at first.
len_indexed_layers = message[0]
if len_indexed_layers == len(layers):
LOGGER.debug('%d layers indexed successfully' % (len_indexed_layers))
success = True
else:
raise Exception("Incorrect SEARCH_TYPE=%s" % SEARCH_TYPE)
if success:
# remove layers from cache here
layers_cache = layers_cache.difference(set(batch_list_ids))
cache.set('layers', layers_cache)
else:
task_error = TaskError(
task_name=self.name,
args=batch_list_ids,
message=message
)
task_error.save()
except Exception as e:
LOGGER.error('Layers were NOT indexed correctly')
LOGGER.error(e, exc_info=True)
else:
LOGGER.debug('No cached layers.')
)
task_error.save()
except Exception, e:
LOGGER.error('Layers NOT indexed correctly')
LOGGER.error(e, exc_info=True)
self.retry(layer)
elif SEARCH_TYPE == 'elasticsearch':
from hypermap.aggregator.elasticsearch_client import ESHypermap
LOGGER.debug('Syncing layer %s to es' % layer.name)
esobject = ESHypermap()
success, message = esobject.layer_to_es(layer)
if not success:
from hypermap.aggregator.models import TaskError
task_error = TaskError(
task_name=self.name,
args=layer.id,
message=message
)
task_error.save()
@shared_task(bind=True)
def index_all_layers(self):
from hypermap.aggregator.models import Layer
layer_to_processes = Layer.objects.all()
total = layer_to_processes.count()
count = 0
for layer in Layer.objects.all():
# update state
if not self.request.called_directly: