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* Add Timescale Connector * Update generated TypeScript types * Add UI changes for the Timescale * lineage, usage and java * Add beta tag * update logo --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Aniket Katkar <aniketkatkar97@gmail.com> Co-authored-by: Akash Verma <akashverma@Mac.lan>
119 lines
4.7 KiB
Python
119 lines
4.7 KiB
Python
# 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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"""
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Test TimescaleDB Pydantic models and utility functions
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"""
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from unittest import TestCase
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from metadata.ingestion.source.database.timescale.models import (
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CompressionSettings,
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HypertableInfo,
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)
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class TimescaleModelsTest(TestCase):
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"""Test TimescaleDB Pydantic models"""
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def test_hypertable_info_model_time_based(self):
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"""Test HypertableInfo model with time-based partitioning"""
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hypertable_data = {
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"hypertable_schema": "public",
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"hypertable_name": "sensor_data",
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"compression_enabled": True,
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"column_name": "time",
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"interval_length": 86400000000,
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"integer_interval": None,
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"integer_now_func": None,
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"num_dimensions": 1,
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}
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hypertable = HypertableInfo.model_validate(hypertable_data)
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self.assertEqual(hypertable.hypertable_schema, "public")
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self.assertEqual(hypertable.hypertable_name, "sensor_data")
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self.assertTrue(hypertable.compression_enabled)
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self.assertEqual(hypertable.column_name, "time")
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self.assertEqual(hypertable.interval_length, 86400000000)
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self.assertIsNone(hypertable.integer_interval)
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self.assertEqual(hypertable.num_dimensions, 1)
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def test_hypertable_info_model_integer_based(self):
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"""Test HypertableInfo model with integer-based partitioning"""
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hypertable_data = {
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"hypertable_schema": "public",
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"hypertable_name": "metrics",
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"compression_enabled": False,
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"column_name": "id",
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"interval_length": None,
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"integer_interval": 1000,
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"integer_now_func": "get_current_id",
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"num_dimensions": 1,
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}
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hypertable = HypertableInfo.model_validate(hypertable_data)
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self.assertEqual(hypertable.hypertable_name, "metrics")
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self.assertFalse(hypertable.compression_enabled)
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self.assertEqual(hypertable.column_name, "id")
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self.assertIsNone(hypertable.interval_length)
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self.assertEqual(hypertable.integer_interval, 1000)
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self.assertEqual(hypertable.integer_now_func, "get_current_id")
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def test_hypertable_info_model_no_compression(self):
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"""Test HypertableInfo model without compression"""
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hypertable_data = {
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"hypertable_schema": "public",
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"hypertable_name": "events",
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"compression_enabled": False,
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"column_name": "timestamp",
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"interval_length": 604800000000,
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"integer_interval": None,
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"integer_now_func": None,
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"num_dimensions": 1,
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}
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hypertable = HypertableInfo.model_validate(hypertable_data)
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self.assertFalse(hypertable.compression_enabled)
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self.assertEqual(hypertable.interval_length, 604800000000)
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def test_compression_settings_model(self):
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"""Test CompressionSettings model"""
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compression_data = {
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"segment_by_columns": ["device_id", "location"],
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"order_by_columns": ["time", "sensor_id"],
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}
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compression = CompressionSettings.model_validate(compression_data)
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self.assertEqual(compression.segment_by_columns, ["device_id", "location"])
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self.assertEqual(compression.order_by_columns, ["time", "sensor_id"])
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def test_compression_settings_model_empty(self):
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"""Test CompressionSettings model with empty lists"""
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compression_data = {
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"segment_by_columns": [],
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"order_by_columns": [],
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}
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compression = CompressionSettings.model_validate(compression_data)
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self.assertEqual(compression.segment_by_columns, [])
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self.assertEqual(compression.order_by_columns, [])
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def test_compression_settings_model_defaults(self):
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"""Test CompressionSettings model with None values"""
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compression_data = {
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"segment_by_columns": None,
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"order_by_columns": None,
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}
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compression = CompressionSettings.model_validate(compression_data)
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self.assertIsNone(compression.segment_by_columns)
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self.assertIsNone(compression.order_by_columns)
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