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chore: import upstream snapshot with attribution
2026-07-13 13:35:45 +08:00

72 lines
3.0 KiB
Python

# Copyright 2025 Collate
# Licensed under the Collate Community License, Version 1.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# https://github.com/open-metadata/OpenMetadata/blob/main/ingestion/LICENSE
# 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.
"""Progress counter behaviour for the shared UsageSource._iter."""
from datetime import datetime
from types import SimpleNamespace
from metadata.generated.schema.type.tableQuery import TableQueries, TableQuery
from metadata.ingestion.source.database.usage_source import UsageSource
class _ConcreteUsageSource(UsageSource):
"""UsageSource is abstract only because `create` (a per-connector
classmethod, see e.g. SnowflakeQueryParserSource.create) is never
implemented on the shared base. Satisfy the ABC so tests can
instantiate the base class directly without touching connector code."""
@classmethod
def create(cls, config_dict, metadata, pipeline_name=None):
raise NotImplementedError("not exercised by this test")
def _make_usage_source(batches, result_limit, start, end):
"""Build a UsageSource without its heavy __init__, wired with a fake
get_table_query so _iter can be exercised in isolation."""
source = _ConcreteUsageSource.__new__(_ConcreteUsageSource)
source.__dict__["source_config"] = SimpleNamespace(resultLimit=result_limit)
source.start = start
source.end = end
source.get_table_query = lambda: iter(batches)
return source
def _query():
return TableQuery(query="select 1", serviceName="svc")
class TestUsageProgress:
def test_seeds_ceiling_and_reconciles_to_real_count(self):
# 2-day span, resultLimit 1000 -> ceiling 2000; 3 real queries across 2 batches
batches = [
TableQueries(queries=[_query(), _query()]),
TableQueries(queries=[_query()]),
]
source = _make_usage_source(batches, result_limit=1000, start=datetime(2026, 1, 1), end=datetime(2026, 1, 3))
list(UsageSource._iter(source))
assert source.progress_tracking.registry.global_counters() == [("Queries", 3, 3)]
def test_ceiling_is_result_limit_times_days_before_reconcile(self):
captured = {}
def batches():
# peek the seeded total after the first batch, before completion
captured["mid"] = source.progress_tracking.registry.global_counters()
yield TableQueries(queries=[_query()])
source = _make_usage_source(batches(), result_limit=1000, start=datetime(2026, 1, 1), end=datetime(2026, 1, 3))
list(UsageSource._iter(source))
# first observation: total seeded at resultLimit * 2 days = 2000
assert captured["mid"] == [("Queries", 0, 2000)]