def match():
dataset_arg = request.args.get('dataset')
dataset = Dataset.find(dataset_arg)
matches = find_matches(dataset,
request.args.get('name'),
filter=request.args.get('filter'),
exclude=arg_int('exclude'))
pager = Pager(matches)
return jsonify(pager.to_dict())
def match():
dataset_arg = request.args.get('dataset')
dataset = Dataset.find(dataset_arg)
matches = find_matches(dataset,
request.args.get('name'),
filter=request.args.get('filter'),
exclude=arg_int('exclude'))
pager = Pager(matches)
return jsonify(pager.to_dict())
def paginate_graph(graph):
graph.partial = None
limit = arg_int('limit')
if limit is None or graph.number_of_nodes() <= limit:
return graph
graph.partial = {'total': graph.number_of_nodes(), 'shown': limit}
nodes = sorted(graph.nodes_iter(data=True),
key=lambda (id, d): d['degree'],
reverse=True)
for id, data in nodes[limit:]:
graph.remove_node(id)
return graph
def paginate_graph(graph):
graph.partial = None
limit = arg_int('limit')
if limit is None or graph.number_of_nodes() <= limit:
return graph
graph.partial = {
'total': graph.number_of_nodes(),
'shown': limit
}
nodes = sorted(graph.nodes_iter(data=True),
key=lambda (id, d): d['degree'],
reverse=True)
for id, data in nodes[limit:]:
graph.remove_node(id)
return graph
def get_depth(default):
return max(1, min(arg_int('depth', default=default), 3))
def get_depth(default):
return max(1, min(arg_int('depth', default=default), 3))