def compute_regions(args):
"""
method computing the region the journey has to be computed on
The complexity comes from the fact that the regions in jormungandr can overlap.
return the kraken instance keys
rules are easy:
we fetch the different regions the user can use for 'origin' and 'destination'
we do the intersection and sort the list
"""
from_regions = set()
to_regions = set()
if args['origin']:
from_regions = set(i_manager.get_instances(object_id=args['origin']))
# Note: if get_regions does not find any region, it raises a RegionNotFoundException
if args['destination']:
to_regions = set(i_manager.get_instances(object_id=args['destination']))
if not from_regions:
# we didn't get any origin, the region is in the destination's list
possible_regions = to_regions
elif not to_regions:
# we didn't get any origin, the region is in the destination's list
possible_regions = from_regions
else:
# we need the intersection set
possible_regions = from_regions.intersection(to_regions)
logging.getLogger(__name__).debug(
"orig region = {o}, dest region = {d} => set = {p}".format(
o=from_regions, d=to_regions, p=possible_regions
)
)
if not possible_regions:
raise RegionNotFound(
custom_msg="cannot find a region with {o} and {d} in the same time".format(
o=args['origin'], d=args['destination']
)
)
sorted_regions = list(possible_regions)
regions = sorted(sorted_regions, key=cmp_to_key(instances_comparator))
return [r.name for r in regions]
def compute_regions(args):
"""
Method computing the possible regions on which the journey can be queried
The complexity comes from the fact that the regions in Jormungandr can overlap.
Rules are :
- Fetch the different regions that can be used for 'origin' and 'destination'
- Intersect both lists and sort it
:return: Kraken instance keys
"""
from_regions = set()
to_regions = set()
if args['origin']:
from_regions = set(i_manager.get_instances(object_id=args['origin']))
# Note: if get_regions does not find any region, it raises a RegionNotFoundException
if args['destination']:
to_regions = set(i_manager.get_instances(object_id=args['destination']))
if not from_regions:
# we didn't get any origin, the region is in the destination's list
possible_regions = to_regions
elif not to_regions:
# we didn't get any origin, the region is in the destination's list
possible_regions = from_regions
else:
# we need the intersection set
possible_regions = from_regions.intersection(to_regions)
logging.getLogger(__name__).debug(
"orig region = {o}, dest region = {d} => set = {p}".format(
o=from_regions, d=to_regions, p=possible_regions
)
)
if not possible_regions:
raise RegionNotFound(
custom_msg="cannot find a region with {o} and {d} in the same time".format(
o=args['origin'], d=args['destination']
)
)
sorted_regions = list(possible_regions)
regions = sort_regions(sorted_regions)
return [r.name for r in regions]
def get(self, region):
instance = i_manager.get_instances(region)[0]
return {'geo_status': instance.autocomplete.geo_status(instance)}, 200
