def test_documents(self):
aCollection = "col_test_documents"
anIndex = "idx_test_documents"
self._q(query.create_collection({"name": aCollection}))
self._q(
query.create_index({
"name": anIndex,
"source": query.collection(aCollection),
"active": True
}))
count = 56
data = [{} for x in range(count)]
self._q(
query.foreach(
query.lambda_(
"x",
query.create(query.collection(aCollection),
{"data": query.var("x")})), data))
self.assertEqual(
self._q(
query.select([0],
query.count(
query.paginate(
query.documents(
query.collection(aCollection)))))),
count)
self.assertEqual(
self._q(query.count(query.documents(
query.collection(aCollection)))), count)
def test_range(self):
data = list(range(1, 20))
self._q(query.create_collection({"name": "range_test"}))
self._q(
query.create_index({
"name": "range_idx",
"source": query.collection("range_test"),
"active": True,
"values": [{
"field": ["data", "value"]
}]
}))
self._q(
query.foreach(
query.lambda_query(lambda x: query.create(
query.collection("range_test"), {"data": {
"value": x
}})), data))
m = query.match(query.index("range_idx"))
q1 = query.select("data", query.paginate(query.range(m, 3, 8)))
q2 = query.select("data", query.paginate(query.range(m, 17, 18)))
q3 = query.select("data", query.paginate(query.range(m, 19, 0)))
self.assertEqual(self._q(q1), [3, 4, 5, 6, 7, 8])
self.assertEqual(self._q(q2), [17, 18])
self.assertEqual(self._q(q3), [])
def test_count_mean_sum(self):
data = [1, 2, 3, 4, 5, 6, 7, 8, 9]
self._q(query.create_collection({"name": "countmeansum_test"}))
self._q(
query.create_index({
"name": "countmeansum_idx",
"source": query.collection("countmeansum_test"),
"active": True,
"values": [{
"field": ["data", "value"]
}]
}))
self._q(
query.foreach(
query.lambda_(
"x",
query.create(
query.collection("countmeansum_test"),
{"data": {
"value": query.add(query.var("x"), 2)
}})), data))
m = query.match(query.index("countmeansum_idx"))
expected = [9, 5.0, 45, 9, 7.0, 63]
self.assertEqual(
self._q([
query.count(data),
query.mean(data),
query.sum(data),
query.count(m),
query.mean(m),
query.sum(m)
]), expected)
def _delete_data():
resources = [q.functions(), q.indexes(), q.collections()]
delete = lambda res: q.foreach(
q.lambda_("res", q.delete(q.var("res"))), q.paginate(res)
)
delete_queries = [delete(res) for res in resources]
_execute_with_retries(q.do(*delete_queries))
def test_foreach(self):
self.assertJson(
query.foreach(lambda a: a, [1, 2, 3]),
'{"collection":[1,2,3],"foreach":{"expr":{"var":"a"},"lambda":"a"}}'
)
def test_foreach(self):
refs = [self._create()["ref"], self._create()["ref"]]
self._q(query.foreach(query.delete, refs))
for ref in refs:
self.assertFalse(self._q(query.exists(ref)))
def _update_information_metadata(
table_name: str,
collection_metadata: CollectionMetadata) -> QueryExpression:
column_metadata = [{
"name_": "id",
"table_name_": table_name,
"type_": "Integer",
"nullable": False,
"default_": None,
}]
column_metadata.extend([
{
"name_": name,
"table_name_": table_name,
"type_": metadata["type"],
# A bit awkward, but SQL uses the 'NOT NULL' keyword, while SQLAlchemy
# uses 'nullable' when returning metadata
"nullable_": not metadata["not_null"],
"default_": metadata["default"],
} for name, metadata in collection_metadata["fields"].items()
])
index_metadata = [{
"name_": index_name,
"table_name_": table_name,
**typing.cast(typing.Dict[str, typing.Any], metadata),
} for index_name, metadata in collection_metadata["indexes"].items()]
return q.if_(
# We don't want to update information schema collections with information schema info,
# because that would some weird inception-type stuff.
q.contains_str_regex(
table_name, r"^information_schema_(?:tables|columns|indexes)_$"),
None,
q.do(
q.create(
q.collection("information_schema_tables_"),
{"data": {
"name_": table_name
}},
),
q.foreach(
q.lambda_(
"column_metadata",
q.create(
q.collection("information_schema_columns_"),
{"data": q.var("column_metadata")},
),
),
column_metadata,
),
q.foreach(
q.lambda_(
"index_metadata",
q.create(
q.collection("information_schema_indexes_"),
{"data": q.var("index_metadata")},
),
),
index_metadata,
),
),
)
