# Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import datetime import decimal import uuid import google.api_core.exceptions import test_utils.retry from google.cloud._helpers import UTC _naive = datetime.datetime(2016, 12, 5, 12, 41, 9) _naive_microseconds = datetime.datetime(2016, 12, 5, 12, 41, 9, 250000) _stamp = "%s %s" % (_naive.date().isoformat(), _naive.time().isoformat()) _date = _naive.date().isoformat() _stamp_microseconds = _stamp + ".250000" _zoned = _naive.replace(tzinfo=UTC) _zoned_microseconds = _naive_microseconds.replace(tzinfo=UTC) _numeric = decimal.Decimal("123456789.123456789") # Examples of most data types to test with query() and DB-API. STANDARD_SQL_EXAMPLES = [ ("SELECT 1", 1), ("SELECT 1.3", 1.3), ("SELECT TRUE", True), ('SELECT "ABC"', "ABC"), ('SELECT CAST("foo" AS BYTES)', b"foo"), ('SELECT TIMESTAMP "%s"' % (_stamp,), _zoned), ( 'SELECT TIMESTAMP "%s"' % (_stamp_microseconds,), _zoned_microseconds, ), ('SELECT DATETIME(TIMESTAMP "%s")' % (_stamp,), _naive), ( 'SELECT DATETIME(TIMESTAMP "%s")' % (_stamp_microseconds,), _naive_microseconds, ), ('SELECT DATE(TIMESTAMP "%s")' % (_stamp,), _naive.date()), ('SELECT TIME(TIMESTAMP "%s")' % (_stamp,), _naive.time()), ('SELECT NUMERIC "%s"' % (_numeric,), _numeric), ("SELECT (1, 2)", {"_field_1": 1, "_field_2": 2}), ( "SELECT ((1, 2), (3, 4), 5)", { "_field_1": {"_field_1": 1, "_field_2": 2}, "_field_2": {"_field_1": 3, "_field_2": 4}, "_field_3": 5, }, ), ("SELECT [1, 2, 3]", [1, 2, 3]), ( "SELECT ([1, 2], 3, [4, 5])", {"_field_1": [1, 2], "_field_2": 3, "_field_3": [4, 5]}, ), ( "SELECT [(1, 2, 3), (4, 5, 6)]", [ {"_field_1": 1, "_field_2": 2, "_field_3": 3}, {"_field_1": 4, "_field_2": 5, "_field_3": 6}, ], ), ( "SELECT [([1, 2, 3], 4), ([5, 6], 7)]", [{"_field_1": [1, 2, 3], "_field_2": 4}, {"_field_1": [5, 6], "_field_2": 7}], ), ("SELECT ARRAY(SELECT STRUCT([1, 2]))", [{"_field_1": [1, 2]}]), ("SELECT ST_GeogPoint(1, 2)", "POINT(1 2)"), ( "SELECT RANGE '[UNBOUNDED, %s)'" % _date, {"start": None, "end": _naive.date()}, ), ] def temp_suffix(): now = datetime.datetime.now() return f"{now.strftime('%Y%m%d%H%M%S')}_{uuid.uuid4().hex[:8]}" def _rate_limit_exceeded(forbidden): """Predicate: pass only exceptions with 'rateLimitExceeded' as reason.""" return any(error["reason"] == "rateLimitExceeded" for error in forbidden._errors) # We need to wait to stay within the rate limits. # The alternative outcome is a 403 Forbidden response from upstream, which # they return instead of the more appropriate 429. # See https://cloud.google.com/bigquery/quota-policy retry_403 = test_utils.retry.RetryErrors( google.api_core.exceptions.Forbidden, error_predicate=_rate_limit_exceeded, )