def all_get():
# Get white list from URL, fallback to default if not present
white_list = func.get_white_list(_default_white_list)
# Get list of filters from elasticsearch
known_filters = func.get_known_filters()
# Return everything
res = func.filter_response(
white_list,
known_filters,
[],
es.search(index=CONFIG.ES_INDEX, doc_type="item", size=CONFIG.MAX_QUERY_SIZE)['hits']['hits']
)
return func.respond(res)
def item_get(item_id):
# Return singular item by id
# Get whitelist
white_list = func.get_white_list(_default_white_list)
# Get known attributes
known_filters = func.get_known_filters()
# Get item
res = func.filter_response(
white_list,
known_filters,
[],
es.get(index=CONFIG.ES_INDEX, doc_type="item", id=item_id)
)
return func.respond(res)
def search():
# Query builder object
qb = _default_es_query
# Get white list from URL, fallback to default if not present
white_list = func.get_white_list(_default_white_list)
# If bounding box provided...
bounding_coords = func.get_bounding_box_from_url()
# Get accuracy mode
high_accuracy = request.args.get('accuracy', 'low') == 'high'
# If a bounding box is present and we are set to low accuracy, filter by it
if None not in bounding_coords.values():
func.filter_bounding_box(qb, bounding_coords)
# Strip useless () from our filter string
qs = json.dumps(qb).strip('()')
# Get list of filters from elasticsearch
known_filters = func.get_known_filters()
# Get list of attribute filters from URL
desired_filters = func.get_attribute_filters(known_filters)
# Filter response
res = func.filter_response(
white_list,
known_filters,
desired_filters,
es.search(
index=CONFIG.ES_INDEX,
doc_type="item",
size=CONFIG.MAX_QUERY_SIZE,
body=_es_match_all if high_accuracy or None in bounding_coords.values() else qs
)['hits']['hits'],
bounding_box=bounding_coords,
high_accuracy=high_accuracy
)
# Return to user
return func.respond(res)