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