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320 lines
12 KiB
Python
320 lines
12 KiB
Python
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from typing import Any, Dict, Optional, cast
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from unittest.mock import patch
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import pytest
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from freezegun import freeze_time
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from datahub.ingestion.run.pipeline import Pipeline
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from datahub.ingestion.source.state.checkpoint import Checkpoint
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from datahub.ingestion.source.state.entity_removal_state import GenericCheckpointState
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from datahub.ingestion.source.superset import SupersetSource
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from tests.test_helpers import mce_helpers
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from tests.test_helpers.state_helpers import (
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run_and_get_pipeline,
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validate_all_providers_have_committed_successfully,
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)
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FROZEN_TIME = "2020-04-14 07:00:00"
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GMS_PORT = 8080
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GMS_SERVER = f"http://localhost:{GMS_PORT}"
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def get_current_checkpoint_from_pipeline(
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pipeline: Pipeline,
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) -> Optional[Checkpoint[GenericCheckpointState]]:
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superset_source = cast(SupersetSource, pipeline.source)
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return superset_source.get_current_checkpoint(
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superset_source.stale_entity_removal_handler.job_id
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)
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def register_mock_api(request_mock: Any, override_data: dict = {}) -> None:
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api_vs_response = {
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"mock://mock-domain.superset.com/api/v1/security/login": {
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"method": "POST",
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"status_code": 200,
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"json": {
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"access_token": "test_token",
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},
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},
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"mock://mock-domain.superset.com/api/v1/dashboard/": {
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"method": "GET",
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"status_code": 200,
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"json": {
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"count": 2,
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"result": [
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{
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"id": "1",
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"changed_by": {
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"username": "test_username_1",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"dashboard_title": "test_dashboard_title_1",
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"url": "/dashboard/test_dashboard_url_1",
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"position_json": '{"CHART-test-1": {"meta": { "chartId": "10" }}, "CHART-test-2": {"meta": { "chartId": "11" }}}',
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},
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{
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"id": "2",
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"changed_by": {
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"username": "test_username_2",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"dashboard_title": "test_dashboard_title_2",
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"url": "/dashboard/test_dashboard_url_2",
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"position_json": '{"CHART-test-3": {"meta": { "chartId": "12" }}, "CHART-test-4": {"meta": { "chartId": "13" }}}',
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},
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],
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},
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},
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"mock://mock-domain.superset.com/api/v1/chart/": {
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"method": "GET",
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"status_code": 200,
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"json": {
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"count": 4,
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"result": [
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{
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"id": "10",
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"changed_by": {
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"username": "test_username_1",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"slice_name": "test_chart_title_1",
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"viz_type": "box_plot",
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"url": "/explore/test_chart_url_10",
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"datasource_id": "20",
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"params": '{"metrics": [], "adhoc_filters": []}',
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},
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{
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"id": "11",
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"changed_by": {
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"username": "test_username_1",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"slice_name": "test_chart_title_2",
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"viz_type": "pie",
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"url": "/explore/test_chart_url_11",
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"datasource_id": "20",
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"params": '{"metrics": [], "adhoc_filters": []}',
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},
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{
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"id": "12",
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"changed_by": {
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"username": "test_username_2",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"slice_name": "test_chart_title_3",
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"viz_type": "treemap",
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"url": "/explore/test_chart_url_12",
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"datasource_id": "20",
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"params": '{"metrics": [], "adhoc_filters": []}',
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},
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{
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"id": "13",
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"changed_by": {
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"username": "test_username_2",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"slice_name": "test_chart_title_4",
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"viz_type": "histogram",
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"url": "/explore/test_chart_url_13",
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"datasource_id": "20",
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"params": '{"metrics": [], "adhoc_filters": []}',
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},
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],
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},
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},
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"mock://mock-domain.superset.com/api/v1/dataset/20": {
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"method": "GET",
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"status_code": 200,
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"json": {
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"result": {
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"schema": "test_schema_name",
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"table_name": "test_table_name",
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"database": {
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"id": "30",
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"database_name": "test_database_name",
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},
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},
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},
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},
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"mock://mock-domain.superset.com/api/v1/database/30": {
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"method": "GET",
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"status_code": 200,
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"json": {
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"result": {
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"sqlalchemy_uri": "test_sqlalchemy_uri",
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},
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},
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},
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}
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api_vs_response.update(override_data)
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for url in api_vs_response.keys():
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request_mock.register_uri(
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api_vs_response[url]["method"],
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url,
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json=api_vs_response[url]["json"],
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status_code=api_vs_response[url]["status_code"],
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)
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@freeze_time(FROZEN_TIME)
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@pytest.mark.integration
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def test_superset_ingest(pytestconfig, tmp_path, mock_time, requests_mock):
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test_resources_dir = pytestconfig.rootpath / "tests/integration/superset"
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register_mock_api(request_mock=requests_mock)
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pipeline = Pipeline.create(
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{
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"run_id": "superset-test",
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"source": {
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"type": "superset",
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"config": {
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"connect_uri": "mock://mock-domain.superset.com/",
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"username": "test_username",
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"password": "test_password",
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"provider": "db",
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},
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},
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"sink": {
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"type": "file",
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"config": {
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"filename": f"{tmp_path}/superset_mces.json",
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},
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},
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}
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)
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pipeline.run()
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pipeline.raise_from_status()
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golden_file = "golden_test_ingest.json"
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mce_helpers.check_golden_file(
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pytestconfig,
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output_path=tmp_path / "superset_mces.json",
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golden_path=f"{test_resources_dir}/{golden_file}",
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)
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@freeze_time(FROZEN_TIME)
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@pytest.mark.integration
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def test_superset_stateful_ingest(
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pytestconfig, tmp_path, mock_time, requests_mock, mock_datahub_graph
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):
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test_resources_dir = pytestconfig.rootpath / "tests/integration/superset"
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register_mock_api(request_mock=requests_mock)
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pipeline_config_dict: Dict[str, Any] = {
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"source": {
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"type": "superset",
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"config": {
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"connect_uri": "mock://mock-domain.superset.com/",
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"username": "test_username",
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"password": "test_password",
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"provider": "db",
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# enable stateful ingestion
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"stateful_ingestion": {
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"enabled": True,
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"remove_stale_metadata": True,
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"fail_safe_threshold": 100.0,
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"state_provider": {
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"type": "datahub",
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"config": {"datahub_api": {"server": GMS_SERVER}},
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},
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},
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},
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},
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"sink": {
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# we are not really interested in the resulting events for this test
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"type": "console"
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},
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"pipeline_name": "test_pipeline",
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}
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dashboard_endpoint_override = {
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"mock://mock-domain.superset.com/api/v1/dashboard/": {
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"method": "GET",
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"status_code": 200,
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"json": {
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"count": 1,
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"result": [
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{
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"id": "1",
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"changed_by": {
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"username": "test_username_1",
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},
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"changed_on_utc": "2020-04-14T07:00:00.000000+0000",
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"dashboard_title": "test_dashboard_title_1",
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"url": "/dashboard/test_dashboard_url_1",
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"position_json": '{"CHART-test-1": {"meta": { "chartId": "10" }}, "CHART-test-2": {"meta": { "chartId": "11" }}}',
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},
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],
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},
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},
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}
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with patch(
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"datahub.ingestion.source.state_provider.datahub_ingestion_checkpointing_provider.DataHubGraph",
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mock_datahub_graph,
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) as mock_checkpoint:
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# Both checkpoint and reporting will use the same mocked graph instance.
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mock_checkpoint.return_value = mock_datahub_graph
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# Do the first run of the pipeline and get the default job's checkpoint.
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pipeline_run1 = run_and_get_pipeline(pipeline_config_dict)
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checkpoint1 = get_current_checkpoint_from_pipeline(pipeline_run1)
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assert checkpoint1
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assert checkpoint1.state
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# Remove one dashboard from the superset config.
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register_mock_api(
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request_mock=requests_mock, override_data=dashboard_endpoint_override
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)
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# Capture MCEs of second run to validate Status(removed=true)
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deleted_mces_path = f"{tmp_path}/superset_deleted_mces.json"
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pipeline_config_dict["sink"]["type"] = "file"
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pipeline_config_dict["sink"]["config"] = {"filename": deleted_mces_path}
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# Do the second run of the pipeline.
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pipeline_run2 = run_and_get_pipeline(pipeline_config_dict)
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checkpoint2 = get_current_checkpoint_from_pipeline(pipeline_run2)
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assert checkpoint2
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assert checkpoint2.state
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# Perform all assertions on the states. The deleted dashboard should not be
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# part of the second state
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state1 = checkpoint1.state
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state2 = checkpoint2.state
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difference_urns = list(
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state1.get_urns_not_in(type="dashboard", other_checkpoint_state=state2)
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)
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assert len(difference_urns) == 1
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urn1 = "urn:li:dashboard:(superset,2)"
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assert urn1 in difference_urns
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# Validate that all providers have committed successfully.
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validate_all_providers_have_committed_successfully(
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pipeline=pipeline_run1, expected_providers=1
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)
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validate_all_providers_have_committed_successfully(
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pipeline=pipeline_run2, expected_providers=1
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)
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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=deleted_mces_path,
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golden_path=test_resources_dir / "golden_test_stateful_ingest.json",
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)
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