114 строки
3.0 KiB
Python
114 строки
3.0 KiB
Python
"""PyTest configuration."""
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import os
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import random
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import string
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import subprocess
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from pathlib import Path
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import pytest
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from google.cloud import bigquery, storage
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TEST_BUCKET = "bigquery-etl-integration-test-bucket"
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pytest_plugins = [
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"bigquery_etl.pytest_plugin.sql",
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"bigquery_etl.pytest_plugin.routine",
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"bigquery_etl.pytest_plugin.script_lint.black",
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"bigquery_etl.pytest_plugin.script_lint.docstyle",
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"bigquery_etl.pytest_plugin.script_lint.flake8",
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"bigquery_etl.pytest_plugin.script_lint.mypy",
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]
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def pytest_collection_modifyitems(config, items):
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keywordexpr = config.option.keyword
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markexpr = config.option.markexpr
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if keywordexpr or markexpr:
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return
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skip_integration = pytest.mark.skip(reason="integration marker not selected")
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requires_java = pytest.mark.skipif(
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subprocess.call(["which", "javac"], stdout=subprocess.DEVNULL) != 0
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or len(list(Path(__file__).parent.glob("target/dependency/*.jar"))) == 0,
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reason="requires javac and target/dependency/*.jar from "
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"`mvn dependency:copy-dependencies`",
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)
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for item in items:
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if "integration" in item.keywords:
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item.add_marker(skip_integration)
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if "java" in item.keywords:
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item.add_marker(requires_java)
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@pytest.fixture
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def project_id():
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"""Provide a BigQuery project ID."""
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# GOOGLE_PROJECT_ID needs to be set for integration tests to run
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project_id = os.environ["GOOGLE_PROJECT_ID"]
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return project_id
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@pytest.fixture
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def bigquery_client():
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"""Provide a BigQuery client."""
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project_id = os.environ["GOOGLE_PROJECT_ID"]
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return bigquery.Client(project_id)
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@pytest.fixture
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def temporary_dataset():
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"""Fixture for creating a random temporary BigQuery dataset."""
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# generate a random test dataset to avoid conflicts when running tests in parallel
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test_dataset = "test_" + "".join(
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random.choice(string.ascii_lowercase) for i in range(12)
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)
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project_id = os.environ["GOOGLE_PROJECT_ID"]
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client = bigquery.Client(project_id)
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client.create_dataset(test_dataset)
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yield test_dataset
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# cleanup and remove temporary dataset
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client.delete_dataset(test_dataset, delete_contents=True, not_found_ok=True)
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@pytest.fixture
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def test_bucket():
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"""Provide a test bucket instance."""
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storage_client = storage.Client()
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bucket = storage_client.bucket(TEST_BUCKET)
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yield bucket
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@pytest.fixture
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def temporary_gcs_folder():
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"""Provide a temporary folder in the GCS test bucket."""
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test_folder = (
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"test_"
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+ "".join(random.choice(string.ascii_lowercase) for i in range(12))
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+ "/"
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)
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yield test_folder
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storage_client = storage.Client()
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bucket = storage_client.bucket(TEST_BUCKET)
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# delete test folder
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blobs = bucket.list_blobs(prefix=test_folder)
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for blob in blobs:
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blob.delete()
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@pytest.fixture
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def storage_client():
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"""Provide a client instance for cloud storage."""
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yield storage.Client()
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