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299 lines
12 KiB
Python
299 lines
12 KiB
Python
import json
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import logging
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import os
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from datetime import datetime
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import moto.s3
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import pytest
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from boto3.session import Session
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from moto import mock_s3
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from pydantic import ValidationError
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from datahub.ingestion.run.pipeline import Pipeline, PipelineContext
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from datahub.ingestion.source.s3.source import S3Source
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from datahub.testing import mce_helpers
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FROZEN_TIME = "2020-04-14 07:00:00"
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FILE_LIST_FOR_VALIDATION = [
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"folder_a/folder_aa/folder_aaa/NPS.7.1.package_data_NPS.6.1_ARCN_Lakes_ChemistryData_v1_csv.csv",
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"folder_a/folder_aa/folder_aaa/chord_progressions_avro.avro",
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"folder_a/folder_aa/folder_aaa/chord_progressions_csv.csv",
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"folder_a/folder_aa/folder_aaa/countries_json.json",
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"folder_a/folder_aa/folder_aaa/food_parquet.parquet",
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"folder_a/folder_aa/folder_aaa/small.csv",
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"folder_a/folder_aa/folder_aaa/wa_fn_usec_hr_employee_attrition_csv.csv",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2019/month=feb/part1.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2019/month=feb/part2.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2019/month=jan/part1.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2019/month=jan/part2.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2020/month=feb/part1.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2020/month=feb/part2.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2020/month=march/part1.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2020/month=march/part2.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2021/month=april/part1.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2021/month=april/part2.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2021/month=march/part1.json",
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"folder_a/folder_aa/folder_aaa/folder_aaaa/pokemon_abilities_yearwise_2021/month=march/part2.json",
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"folder_a/folder_aa/folder_aaa/food_csv/part1.csv",
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"folder_a/folder_aa/folder_aaa/food_csv/part2.csv",
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"folder_a/folder_aa/folder_aaa/food_csv/part3.csv",
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"folder_a/folder_aa/folder_aaa/food_parquet/part1.parquet",
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"folder_a/folder_aa/folder_aaa/food_parquet/part2.parquet",
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"folder_a/folder_aa/folder_aaa/no_extension/small",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2019/month=feb/part1.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2019/month=feb/part2.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2019/month=jan/part1.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2019/month=jan/part2.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2020/month=feb/part1.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2020/month=feb/part2.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2020/month=march/part1.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2020/month=march/part2.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2021/month=april/part1.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2021/month=april/part2.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2021/month=march/part1.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2021/month=march/part2.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2022/month=jan/part3.json",
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"folder_a/folder_aa/folder_aaa/pokemon_abilities_json/year=2022/month=jan/_temporary/dummy.json",
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]
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@pytest.fixture(scope="module", autouse=True)
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def bucket_names():
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return ["my-test-bucket", "my-test-bucket-2"]
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@pytest.fixture(scope="module", autouse=True)
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def s3():
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with mock_s3():
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conn = Session(
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aws_access_key_id="test",
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aws_secret_access_key="test",
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region_name="us-east-1",
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)
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yield conn
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@pytest.fixture(scope="module", autouse=True)
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def s3_resource(s3):
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with mock_s3():
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conn = s3.resource("s3")
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yield conn
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@pytest.fixture(scope="module", autouse=True)
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def s3_client(s3):
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with mock_s3():
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conn = s3.client("s3")
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yield conn
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@pytest.fixture(scope="module", autouse=True)
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def s3_populate(pytestconfig, s3_resource, s3_client, bucket_names):
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for bucket_name in bucket_names:
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logging.info(f"Populating s3 bucket: {bucket_name}")
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s3_resource.create_bucket(Bucket=bucket_name)
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bkt = s3_resource.Bucket(bucket_name)
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bkt.Tagging().put(Tagging={"TagSet": [{"Key": "foo", "Value": "bar"}]})
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test_resources_dir = (
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pytestconfig.rootpath / "tests/integration/s3/test_data/local_system/"
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)
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current_time_sec = datetime.strptime(
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FROZEN_TIME, "%Y-%m-%d %H:%M:%S"
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).timestamp()
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file_list = []
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for root, _dirs, files in os.walk(test_resources_dir):
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_dirs.sort()
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for file in sorted(files):
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full_path = os.path.join(root, file)
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rel_path = os.path.relpath(full_path, test_resources_dir)
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file_list.append(rel_path)
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bkt.upload_file(
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full_path,
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rel_path, # Set content type for `no_extension/small` file to text/csv
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ExtraArgs=(
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{"ContentType": "text/csv"} if "." not in rel_path else {}
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),
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)
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s3_client.put_object_tagging(
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Bucket=bucket_name,
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Key=rel_path,
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Tagging={"TagSet": [{"Key": "baz", "Value": "bob"}]},
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)
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key = (
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moto.s3.models.s3_backends["123456789012"]["global"]
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.buckets[bucket_name]
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.keys[rel_path]
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)
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current_time_sec += 10
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key.last_modified = datetime.fromtimestamp(current_time_sec)
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# This is used to make sure the list of files are the same in the test as locally
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assert file_list == FILE_LIST_FOR_VALIDATION
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yield
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@pytest.fixture(scope="module", autouse=True)
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def touch_local_files(pytestconfig):
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test_resources_dir = (
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pytestconfig.rootpath / "tests/integration/s3/test_data/local_system/"
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)
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current_time_sec = datetime.strptime(FROZEN_TIME, "%Y-%m-%d %H:%M:%S").timestamp()
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for root, _dirs, files in os.walk(test_resources_dir):
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_dirs.sort()
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for file in sorted(files):
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current_time_sec += 10
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full_path = os.path.join(root, file)
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os.utime(full_path, times=(current_time_sec, current_time_sec))
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SHARED_SOURCE_FILES_PATH = "./tests/integration/s3/sources/shared"
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shared_source_files = [
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(SHARED_SOURCE_FILES_PATH, p) for p in os.listdir(SHARED_SOURCE_FILES_PATH)
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]
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S3_SOURCE_FILES_PATH = "./tests/integration/s3/sources/s3"
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s3_source_files = [(S3_SOURCE_FILES_PATH, p) for p in os.listdir(S3_SOURCE_FILES_PATH)]
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@pytest.mark.integration
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@pytest.mark.parametrize("source_file_tuple", shared_source_files + s3_source_files)
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def test_data_lake_s3_ingest(
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pytestconfig, s3_populate, source_file_tuple, tmp_path, mock_time
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):
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source_dir, source_file = source_file_tuple
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test_resources_dir = pytestconfig.rootpath / "tests/integration/s3/"
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f = open(os.path.join(source_dir, source_file))
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source = json.load(f)
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config_dict = {}
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config_dict["source"] = source
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config_dict["sink"] = {
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"type": "file",
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"config": {
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"filename": f"{tmp_path}/{source_file}",
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},
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}
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config_dict["run_id"] = source_file
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pipeline = Pipeline.create(config_dict)
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pipeline.run()
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pipeline.raise_from_status()
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# Verify the output.
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mce_helpers.check_golden_file(
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pytestconfig,
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output_path=f"{tmp_path}/{source_file}",
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golden_path=f"{test_resources_dir}/golden-files/s3/golden_mces_{source_file}",
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ignore_paths=[
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r"root\[\d+\]\['aspect'\]\['json'\]\['lastUpdatedTimestamp'\]",
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],
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)
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@pytest.mark.integration
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@pytest.mark.parametrize("source_file_tuple", shared_source_files)
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def test_data_lake_local_ingest(
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pytestconfig, touch_local_files, source_file_tuple, tmp_path, mock_time
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):
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source_dir, source_file = source_file_tuple
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test_resources_dir = pytestconfig.rootpath / "tests/integration/s3/"
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f = open(os.path.join(source_dir, source_file))
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source = json.load(f)
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config_dict = {}
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for path_spec in source["config"]["path_specs"]:
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path_spec["include"] = (
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path_spec["include"]
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.replace(
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"s3://my-test-bucket/", "tests/integration/s3/test_data/local_system/"
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)
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.replace(
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"s3://my-test-bucket-2/", "tests/integration/s3/test_data/local_system/"
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)
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)
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source["config"]["profiling"]["enabled"] = True
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source["config"].pop("aws_config")
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source["config"].pop("use_s3_bucket_tags", None)
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source["config"].pop("use_s3_object_tags", None)
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config_dict["source"] = source
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config_dict["sink"] = {
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"type": "file",
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"config": {
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"filename": f"{tmp_path}/{source_file}",
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},
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}
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config_dict["run_id"] = source_file
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pipeline = Pipeline.create(config_dict)
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pipeline.run()
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pipeline.raise_from_status()
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# Verify the output.
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mce_helpers.check_golden_file(
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pytestconfig,
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output_path=f"{tmp_path}/{source_file}",
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golden_path=f"{test_resources_dir}/golden-files/local/golden_mces_{source_file}",
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ignore_paths=[
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r"root\[\d+\]\['aspect'\]\['json'\]\['lastUpdatedTimestamp'\]",
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r"root\[\d+\]\['aspect'\]\['json'\]\[\d+\]\['value'\]\['time'\]",
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r"root\[\d+\]\['proposedSnapshot'\].+\['aspects'\].+\['created'\]\['time'\]",
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# root[41]['aspect']['json']['fieldProfiles'][0]['sampleValues'][0]
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r"root\[\d+\]\['aspect'\]\['json'\]\['fieldProfiles'\]\[\d+\]\['sampleValues'\]",
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# "root[0]['proposedSnapshot']['com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot']['aspects'][2]['com.linkedin.pegasus2avro.schema.SchemaMetadata']['fields'][4]"
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r"root\[\d+\]\['proposedSnapshot'\]\['com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot'\]\['aspects'\]\[\d+\]\['com.linkedin.pegasus2avro.schema.SchemaMetadata'\]\['fields'\]",
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# "root[0]['proposedSnapshot']['com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot']['aspects'][1]['com.linkedin.pegasus2avro.dataset.DatasetProperties']['customProperties']['size_in_bytes']"
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r"root\[\d+\]\['proposedSnapshot'\]\['com.linkedin.pegasus2avro.metadata.snapshot.DatasetSnapshot'\]\['aspects'\]\[\d+\]\['com.linkedin.pegasus2avro.dataset.DatasetProperties'\]\['customProperties'\]\['size_in_bytes'\]",
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],
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)
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def test_data_lake_incorrect_config_raises_error(tmp_path, mock_time):
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ctx = PipelineContext(run_id="test-s3")
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# Baseline: valid config
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source: dict = {
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"path_spec": {"include": "a/b/c/d/{table}.*", "table_name": "{table}"}
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}
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s3 = S3Source.create(source, ctx)
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assert s3.source_config.platform == "file"
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# Case 1 : named variable in table name is not present in include
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source = {"path_spec": {"include": "a/b/c/d/{table}.*", "table_name": "{table1}"}}
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with pytest.raises(ValidationError, match="table_name"):
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S3Source.create(source, ctx)
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# Case 2 : named variable in exclude is not allowed
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source = {
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"path_spec": {
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"include": "a/b/c/d/{table}/*.*",
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"exclude": ["a/b/c/d/a-{exclude}/**"],
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},
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}
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with pytest.raises(ValidationError, match=r"exclude.*named variable"):
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S3Source.create(source, ctx)
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# Case 3 : unsupported file type not allowed
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source = {
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"path_spec": {
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"include": "a/b/c/d/{table}/*.hd5",
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}
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}
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with pytest.raises(ValidationError, match="file type"):
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S3Source.create(source, ctx)
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# Case 4 : ** in include not allowed
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source = {
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"path_spec": {
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"include": "a/b/c/d/**/*.*",
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},
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}
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with pytest.raises(ValidationError, match=r"\*\*"):
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S3Source.create(source, ctx)
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