def get_by_filters(cls,
context,
filters,
limit=None,
marker=None,
sort_keys=None,
sort_dirs=None):
if limit == 0:
return cls(context, objects=[])
# 'deleted' records can not be returned from here since build_requests
# are not soft deleted.
if filters.get('deleted', False):
return cls(context, objects=[])
# 'cleaned' records won't exist as they would need to be deleted.
if filters.get('cleaned', False):
return cls(context, objects=[])
# Because the build_requests table stores an instance as a serialized
# versioned object it is not feasible to do the filtering and sorting
# in the database. Just get all potentially relevant records and
# process them here. It should be noted that build requests are short
# lived so there should not be a lot of results to deal with.
build_requests = cls.get_all(context)
# Fortunately some filters do not apply here.
# 'tags' can not be applied at boot time so will not be set for an
# instance here.
# 'changes-since' works off of the updated_at field which has not yet
# been set at the point in the boot process where build_request still
# exists. So it can be ignored.
# 'deleted' and 'cleaned' are handled above.
sort_keys, sort_dirs = db.process_sort_params(sort_keys,
sort_dirs,
default_dir='desc')
# For other filters that don't match this, we will do regexp matching
# Taken from db/sqlalchemy/api.py
exact_match_filter_names = [
'project_id', 'user_id', 'image_ref', 'vm_state',
'instance_type_id', 'uuid', 'metadata', 'host', 'task_state',
'system_metadata'
]
exact_filters = {}
regex_filters = {}
for key, value in filters.items():
if key in exact_match_filter_names:
exact_filters[key] = value
else:
regex_filters[key] = value
# As much as possible this copies the logic from db/sqlalchemy/api.py
# instance_get_all_by_filters_sort. The main difference is that method
# builds a sql query and this filters in python.
filtered_build_reqs = []
for build_req in build_requests:
instance = build_req.instance
filter_result = cls._pass_exact_filters(instance, exact_filters)
if filter_result is None:
# The filter condition is such that nothing will match.
# Bail early.
return cls(context, objects=[])
if filter_result is False:
continue
if not cls._pass_regex_filters(instance, regex_filters):
continue
filtered_build_reqs.append(build_req)
if (len(filtered_build_reqs) < 2) or (not sort_keys):
# No need to sort
return cls(context, objects=filtered_build_reqs)
sorted_build_reqs = cls._sort_build_requests(filtered_build_reqs,
sort_keys, sort_dirs)
marker_index = 0
if marker:
for i, build_req in enumerate(sorted_build_reqs):
if build_req.instance.uuid == marker:
marker_index = i
break
len_build_reqs = len(sorted_build_reqs)
limit_index = len_build_reqs
if limit:
limit_index = marker_index + limit
if limit_index > len_build_reqs:
limit_index = len_build_reqs
return cls(context,
objects=sorted_build_reqs[marker_index:limit_index])
def get_by_filters(cls, context, filters, limit=None, marker=None,
sort_keys=None, sort_dirs=None):
if limit == 0:
return cls(context, objects=[])
# 'deleted' records can not be returned from here since build_requests
# are not soft deleted.
if filters.get('deleted', False):
return cls(context, objects=[])
# 'cleaned' records won't exist as they would need to be deleted.
if filters.get('cleaned', False):
return cls(context, objects=[])
# Because the build_requests table stores an instance as a serialized
# versioned object it is not feasible to do the filtering and sorting
# in the database. Just get all potentially relevant records and
# process them here. It should be noted that build requests are short
# lived so there should not be a lot of results to deal with.
build_requests = cls.get_all(context)
# Fortunately some filters do not apply here.
# 'changes-since' works off of the updated_at field which has not yet
# been set at the point in the boot process where build_request still
# exists. So it can be ignored.
# 'deleted' and 'cleaned' are handled above.
sort_keys, sort_dirs = db.process_sort_params(sort_keys, sort_dirs,
default_dir='desc')
# For other filters that don't match this, we will do regexp matching
# Taken from db/sqlalchemy/api.py
exact_match_filter_names = ['project_id', 'user_id', 'image_ref',
'vm_state', 'instance_type_id', 'uuid',
'metadata', 'host', 'task_state',
'system_metadata', 'tags', 'tags-any',
'not-tags', 'not-tags-any']
exact_filters = {}
regex_filters = {}
for key, value in filters.items():
if key in exact_match_filter_names:
exact_filters[key] = value
else:
regex_filters[key] = value
# As much as possible this copies the logic from db/sqlalchemy/api.py
# instance_get_all_by_filters_sort. The main difference is that method
# builds a sql query and this filters in python.
filtered_build_reqs = []
for build_req in build_requests:
instance = build_req.instance
filter_result = cls._pass_exact_filters(instance, exact_filters)
if filter_result is None:
# The filter condition is such that nothing will match.
# Bail early.
return cls(context, objects=[])
if filter_result is False:
continue
if not cls._pass_regex_filters(instance, regex_filters):
continue
filtered_build_reqs.append(build_req)
if (len(filtered_build_reqs) < 2) or (not sort_keys):
# No need to sort
return cls(context, objects=filtered_build_reqs)
sorted_build_reqs = cls._sort_build_requests(filtered_build_reqs,
sort_keys, sort_dirs)
marker_index = 0
if marker:
for i, build_req in enumerate(sorted_build_reqs):
if build_req.instance.uuid == marker:
marker_index = i
break
len_build_reqs = len(sorted_build_reqs)
limit_index = len_build_reqs
if limit:
limit_index = marker_index + limit
if limit_index > len_build_reqs:
limit_index = len_build_reqs
return cls(context,
objects=sorted_build_reqs[marker_index:limit_index])