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* ref: implemented interface for profiler components + removed struct logic * ref: ran python linting * ref: added UML diagram to readme.md * ref: empty commit for labeler check * ref: remove multiple context manager for 3.7 3.8 compatibility * ref: remove * fix: mapper logic for BQ struct types * feat: added BQ support for structs * feat: clean code smell + handle null self.col.table value * feat: ran python linting * feat: updated test for profiler handler + disabled flaky test * Update ingestion/tests/unit/profiler/pandas/test_sample.py Co-authored-by: Mayur Singal <39544459+ulixius9@users.noreply.github.com> --------- Co-authored-by: Mayur Singal <39544459+ulixius9@users.noreply.github.com>
64 lines
2.2 KiB
Python
64 lines
2.2 KiB
Python
# Copyright 2021 Collate
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# Licensed under the Apache License, Version 2.0 (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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# http://www.apache.org/licenses/LICENSE-2.0
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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 we map correctly struct columns for BQ
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"""
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from metadata.generated.schema.entity.data.table import Column
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from metadata.profiler.orm.converter import _TYPE_MAP
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from metadata.profiler.source.bigquery.type_mapper import bigquery_type_mapper
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def test_map_struct():
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column = Column.parse_obj(
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{
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"name": "col",
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"dataType": "STRUCT",
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"children": [
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{
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"name": "col1",
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"dataType": "STRING",
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"children": [],
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},
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{
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"name": "col2",
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"dataType": "STRUCT",
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"children": [
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{
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"name": "col3",
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"dataType": "STRING",
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"children": [],
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},
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{
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"name": "col4",
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"dataType": "STRUCT",
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"children": [
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{
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"name": "col5",
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"dataType": "ARRAY",
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"arrayDataType": "STRING",
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"children": [],
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}
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],
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},
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],
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},
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],
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}
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)
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type_ = bigquery_type_mapper(_TYPE_MAP, column)
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assert (
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type_.__repr__()
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== "STRUCT(col1=String(), col2=STRUCT(col3=String(), col4=STRUCT(col5=CustomArray(<DataType.STRING: 'STRING'>))))"
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)
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