wehub-resource-sync
bf2343b7e4
Integration Tests - MySQL + Elasticsearch / Detect Changes (push) Has been cancelled
Integration Tests - MySQL + Elasticsearch / integration-tests-mysql-elasticsearch (push) Has been cancelled
Integration Tests - PostgreSQL + Elasticsearch + Redis / Detect Changes (push) Has been cancelled
Integration Tests - PostgreSQL + Elasticsearch + Redis / integration-tests-postgres-elasticsearch-redis (push) Has been cancelled
Integration Tests - PostgreSQL + OpenSearch / Detect Changes (push) Has been cancelled
Integration Tests - PostgreSQL + OpenSearch / integration-tests-postgres-opensearch (push) Has been cancelled
Java Checkstyle / java-checkstyle (push) Has been cancelled
Maven Collate Tests / maven-collate-ci (push) Has been cancelled
OpenMetadata Service Unit Tests / openmetadata-service-unit-tests-status (push) Has been cancelled
Publish Package to Maven Central Repository / publish-maven-packages (push) Has been cancelled
OpenMetadata Service Unit Tests / Detect Changes (push) Has been cancelled
OpenMetadata Service Unit Tests / openmetadata-service-unit-tests (push) Has been cancelled
OpenMetadata Service Unit Tests / k8s_operator-unit-tests (push) Has been cancelled
148 lines
4.8 KiB
Python
148 lines
4.8 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.
|
|
|
|
"""
|
|
Validate factory and logic to read dataframes from local.
|
|
"""
|
|
|
|
from pathlib import Path
|
|
from unittest import TestCase
|
|
|
|
from metadata.generated.schema.entity.services.connections.database.datalakeConnection import (
|
|
LocalConfig,
|
|
)
|
|
from metadata.readers.dataframe.models import DatalakeTableSchemaWrapper
|
|
from metadata.readers.dataframe.reader_factory import SupportedTypes
|
|
from metadata.utils.datalake.datalake_utils import fetch_dataframe_first_chunk
|
|
|
|
ROOT_PATH = Path(__file__).parent.parent / "resources" / "datalake"
|
|
|
|
|
|
class TestDataFrameReader(TestCase):
|
|
"""
|
|
Load different files from resources and validate
|
|
that the reader can properly get the df out ot if.
|
|
"""
|
|
|
|
def test_dsv_no_extension_reader(self):
|
|
key = ROOT_PATH / "transactions_1"
|
|
|
|
df_iter = fetch_dataframe_first_chunk(
|
|
config_source=LocalConfig(),
|
|
client=None,
|
|
file_fqn=DatalakeTableSchemaWrapper(key=str(key), bucket_name="unused", file_extension=SupportedTypes.CSV),
|
|
)
|
|
|
|
self.assertIsNotNone(df_iter)
|
|
df_list = list(df_iter)
|
|
self.assertTrue(len(df_list))
|
|
|
|
self.assertEqual(df_list[0].shape, (5, 2))
|
|
self.assertEqual(list(df_list[0].columns), ["transaction_id", "transaction_value"])
|
|
|
|
def test_dsv_reader(self):
|
|
key = ROOT_PATH / "transactions_1.csv"
|
|
|
|
df_iter = fetch_dataframe_first_chunk(
|
|
config_source=LocalConfig(),
|
|
client=None,
|
|
file_fqn=DatalakeTableSchemaWrapper(key=str(key), bucket_name="unused"),
|
|
)
|
|
|
|
self.assertIsNotNone(df_iter)
|
|
df_list = list(df_iter)
|
|
self.assertTrue(len(df_list))
|
|
|
|
self.assertEqual(df_list[0].shape, (5, 2))
|
|
self.assertEqual(list(df_list[0].columns), ["transaction_id", "transaction_value"])
|
|
|
|
def test_dsv_reader_with_separator(self):
|
|
key = ROOT_PATH / "transactions_separator.csv"
|
|
|
|
df_iter = fetch_dataframe_first_chunk(
|
|
config_source=LocalConfig(),
|
|
client=None,
|
|
file_fqn=DatalakeTableSchemaWrapper(key=str(key), bucket_name="unused", separator=";"),
|
|
)
|
|
|
|
self.assertIsNotNone(df_iter)
|
|
df_list = list(df_iter)
|
|
self.assertTrue(len(df_list))
|
|
|
|
self.assertEqual(df_list[0].shape, (5, 2))
|
|
self.assertEqual(list(df_list[0].columns), ["transaction_id", "transaction_value"])
|
|
|
|
def test_json_reader(self):
|
|
key = ROOT_PATH / "employees.json"
|
|
|
|
df_iter = fetch_dataframe_first_chunk(
|
|
config_source=LocalConfig(),
|
|
client=None,
|
|
file_fqn=DatalakeTableSchemaWrapper(key=str(key), bucket_name="unused"),
|
|
)
|
|
|
|
self.assertIsNotNone(df_iter)
|
|
df_list = list(df_iter)
|
|
self.assertTrue(len(df_list))
|
|
|
|
self.assertEqual(df_list[0].shape, (4, 4))
|
|
self.assertEqual(
|
|
list(df_list[0].columns),
|
|
["name", "id", "version", "Company"],
|
|
)
|
|
|
|
def test_jsonl_reader(self):
|
|
key = ROOT_PATH / "employees.jsonl"
|
|
|
|
df_iter = fetch_dataframe_first_chunk(
|
|
config_source=LocalConfig(),
|
|
client=None,
|
|
file_fqn=DatalakeTableSchemaWrapper(key=str(key), bucket_name="unused"),
|
|
)
|
|
|
|
self.assertIsNotNone(df_iter)
|
|
df_list = list(df_iter)
|
|
self.assertTrue(len(df_list))
|
|
|
|
self.assertEqual(df_list[0].shape, (4, 4))
|
|
self.assertEqual(
|
|
list(df_list[0].columns),
|
|
["name", "id", "version", "Company"],
|
|
)
|
|
|
|
def test_avro_reader(self):
|
|
key = ROOT_PATH / "example.avro"
|
|
|
|
df_iter = fetch_dataframe_first_chunk(
|
|
config_source=LocalConfig(),
|
|
client=None,
|
|
file_fqn=DatalakeTableSchemaWrapper(key=str(key), bucket_name="unused"),
|
|
)
|
|
|
|
self.assertIsNotNone(df_iter)
|
|
df_list = list(df_iter)
|
|
self.assertTrue(len(df_list))
|
|
|
|
self.assertEqual(df_list[0].shape, (4, 8))
|
|
self.assertEqual(
|
|
list(df_list[0].columns),
|
|
[
|
|
"Boolean",
|
|
"pdBoolean",
|
|
"Float64",
|
|
"Int64",
|
|
"pdInt64",
|
|
"String",
|
|
"pdString",
|
|
"DateTime64",
|
|
],
|
|
)
|