def test_sort_by_reference():
ids = [4, 7, 1, 3]
objs = [{'id': 1}, {'id': 7}, {'id': 4}, {'id': 3}]
sorted_ = util.sort_by_reference(ids, objs, lambda x: x['id'])
h.assert_equal(sorted_, [{'id': 4}, {'id': 7}, {'id': 1}, {'id': 3}])
def test_sort_by_reference():
ids = [4, 7, 1, 3]
objs = [{'id': 1}, {'id': 7}, {'id': 4}, {'id': 3}]
sorted_ = util.sort_by_reference(ids, objs, lambda x: x['id'])
h.assert_equal(sorted_, [{'id': 4}, {'id': 7}, {'id': 1}, {'id': 3}])
def _expand_facets(facets, dataset):
dim_names = [d.name for d in dataset.dimensions]
for name in facets.keys():
if name in dim_names and dataset[name].is_compound:
dim = dataset[name]
member_names = [x[0] for x in facets[name]]
facet_values = [x[1] for x in facets[name]]
members = dim.members(dim.alias.c.name.in_(member_names))
members = util.sort_by_reference(member_names, members, lambda x: x['name'])
facets[name] = zip(members, facet_values)
def _expand_facets(facets, dataset):
dim_names = [d.name for d in dataset.dimensions]
for name in facets.keys():
if name in dim_names and dataset[name].is_compound:
dim = dataset[name]
member_names = [x[0] for x in facets[name]]
facet_values = [x[1] for x in facets[name]]
members = dim.members(dim.alias.c.name.in_(member_names))
members = util.sort_by_reference(member_names, members,
lambda x: x['name'])
facets[name] = zip(members, facet_values)
def _get_entries(docs):
# List of ids in Solr return order
ids = [d['id'] for d in docs]
# partition the entries by dataset (so we make only N queries
# for N datasets)
by_dataset = defaultdict(list)
for d in docs:
by_dataset[d['dataset']].append(d['id'])
# create a great big list of entries, one per doc
entries = []
for ds_name, ids in by_dataset.iteritems():
dataset = model.Dataset.by_name(ds_name)
query = dataset.alias.c.id.in_(ids)
entries.extend([(dataset, e) for e in dataset.entries(query)])
entries = util.sort_by_reference(ids, entries, lambda x: x[1]['id'])
for dataset, entry in filter(lambda e: e is not None, entries):
yield dataset, entry
def _get_entries(docs):
# List of ids in Solr return order
# print [docs]
ids = [d['id'] for d in docs]
# partition the entries by dataset (so we make only N queries
# for N datasets)
by_dataset = defaultdict(list)
for d in docs:
by_dataset[d['dataset']].append(d['id'])
# create a great big list of entries, one per doc
entries = []
for ds_name, ds_ids in by_dataset.iteritems():
dataset = Dataset.by_name(ds_name)
query = dataset.alias.c.id.in_(ds_ids)
entries.extend([(dataset, e) for e in dataset.entries(query)])
entries = util.sort_by_reference(ids, entries, lambda x: x[1]['id'])
for dataset, entry in entries:
yield dataset, entry
def test_sort_by_reference(self):
ids = [4, 7, 1, 3]
objs = [{'id': 1}, {'id': 7}, {'id': 4}, {'id': 3}]
sorted_objs = util.sort_by_reference(ids, objs, lambda x: x['id'])
assert sorted_objs == [{'id': 4}, {'id': 7}, {'id': 1}, {'id': 3}]
