mirror of https://github.com/apache/superset.git
585 lines
23 KiB
Python
585 lines
23 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Unit tests for Superset"""
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import json
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import unittest
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from sqlalchemy.orm.session import make_transient
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from superset import db
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from superset.connectors.druid.models import DruidColumn, DruidDatasource, DruidMetric
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from superset.connectors.sqla.models import SqlaTable, SqlMetric, TableColumn
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from superset.models import core as models
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from superset.utils import core as utils
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from .base_tests import SupersetTestCase
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class ImportExportTests(SupersetTestCase):
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"""Testing export import functionality for dashboards"""
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@classmethod
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def delete_imports(cls):
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# Imported data clean up
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session = db.session
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for slc in session.query(models.Slice):
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if "remote_id" in slc.params_dict:
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session.delete(slc)
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for dash in session.query(models.Dashboard):
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if "remote_id" in dash.params_dict:
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session.delete(dash)
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for table in session.query(SqlaTable):
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if "remote_id" in table.params_dict:
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session.delete(table)
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for datasource in session.query(DruidDatasource):
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if "remote_id" in datasource.params_dict:
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session.delete(datasource)
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session.commit()
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@classmethod
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def setUpClass(cls):
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cls.delete_imports()
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cls.create_druid_test_objects()
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@classmethod
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def tearDownClass(cls):
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cls.delete_imports()
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def create_slice(
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self,
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name,
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ds_id=None,
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id=None,
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db_name="main",
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table_name="wb_health_population",
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):
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params = {
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"num_period_compare": "10",
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"remote_id": id,
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"datasource_name": table_name,
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"database_name": db_name,
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"schema": "",
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# Test for trailing commas
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"metrics": ["sum__signup_attempt_email", "sum__signup_attempt_facebook"],
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}
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if table_name and not ds_id:
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table = self.get_table_by_name(table_name)
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if table:
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ds_id = table.id
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return models.Slice(
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slice_name=name,
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datasource_type="table",
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viz_type="bubble",
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params=json.dumps(params),
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datasource_id=ds_id,
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id=id,
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)
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def create_dashboard(self, title, id=0, slcs=[]):
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json_metadata = {"remote_id": id}
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return models.Dashboard(
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id=id,
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dashboard_title=title,
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slices=slcs,
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position_json='{"size_y": 2, "size_x": 2}',
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slug="{}_imported".format(title.lower()),
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json_metadata=json.dumps(json_metadata),
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)
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def create_table(self, name, schema="", id=0, cols_names=[], metric_names=[]):
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params = {"remote_id": id, "database_name": "main"}
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table = SqlaTable(
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id=id, schema=schema, table_name=name, params=json.dumps(params)
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)
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for col_name in cols_names:
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table.columns.append(TableColumn(column_name=col_name))
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for metric_name in metric_names:
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table.metrics.append(SqlMetric(metric_name=metric_name, expression=""))
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return table
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def create_druid_datasource(self, name, id=0, cols_names=[], metric_names=[]):
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params = {"remote_id": id, "database_name": "druid_test"}
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datasource = DruidDatasource(
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id=id,
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datasource_name=name,
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cluster_name="druid_test",
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params=json.dumps(params),
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)
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for col_name in cols_names:
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datasource.columns.append(DruidColumn(column_name=col_name))
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for metric_name in metric_names:
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datasource.metrics.append(DruidMetric(metric_name=metric_name, json="{}"))
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return datasource
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def get_slice(self, slc_id):
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return db.session.query(models.Slice).filter_by(id=slc_id).first()
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def get_slice_by_name(self, name):
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return db.session.query(models.Slice).filter_by(slice_name=name).first()
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def get_dash(self, dash_id):
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return db.session.query(models.Dashboard).filter_by(id=dash_id).first()
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def get_dash_by_slug(self, dash_slug):
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sesh = db.session()
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return sesh.query(models.Dashboard).filter_by(slug=dash_slug).first()
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def get_datasource(self, datasource_id):
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return db.session.query(DruidDatasource).filter_by(id=datasource_id).first()
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def get_table_by_name(self, name):
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return db.session.query(SqlaTable).filter_by(table_name=name).first()
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def assert_dash_equals(self, expected_dash, actual_dash, check_position=True):
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self.assertEquals(expected_dash.slug, actual_dash.slug)
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self.assertEquals(expected_dash.dashboard_title, actual_dash.dashboard_title)
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self.assertEquals(len(expected_dash.slices), len(actual_dash.slices))
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expected_slices = sorted(expected_dash.slices, key=lambda s: s.slice_name or "")
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actual_slices = sorted(actual_dash.slices, key=lambda s: s.slice_name or "")
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for e_slc, a_slc in zip(expected_slices, actual_slices):
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self.assert_slice_equals(e_slc, a_slc)
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if check_position:
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self.assertEquals(expected_dash.position_json, actual_dash.position_json)
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def assert_table_equals(self, expected_ds, actual_ds):
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self.assertEquals(expected_ds.table_name, actual_ds.table_name)
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self.assertEquals(expected_ds.main_dttm_col, actual_ds.main_dttm_col)
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self.assertEquals(expected_ds.schema, actual_ds.schema)
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self.assertEquals(len(expected_ds.metrics), len(actual_ds.metrics))
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self.assertEquals(len(expected_ds.columns), len(actual_ds.columns))
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self.assertEquals(
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set([c.column_name for c in expected_ds.columns]),
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set([c.column_name for c in actual_ds.columns]),
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)
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self.assertEquals(
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set([m.metric_name for m in expected_ds.metrics]),
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set([m.metric_name for m in actual_ds.metrics]),
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)
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def assert_datasource_equals(self, expected_ds, actual_ds):
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self.assertEquals(expected_ds.datasource_name, actual_ds.datasource_name)
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self.assertEquals(expected_ds.main_dttm_col, actual_ds.main_dttm_col)
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self.assertEquals(len(expected_ds.metrics), len(actual_ds.metrics))
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self.assertEquals(len(expected_ds.columns), len(actual_ds.columns))
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self.assertEquals(
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set([c.column_name for c in expected_ds.columns]),
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set([c.column_name for c in actual_ds.columns]),
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)
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self.assertEquals(
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set([m.metric_name for m in expected_ds.metrics]),
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set([m.metric_name for m in actual_ds.metrics]),
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)
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def assert_slice_equals(self, expected_slc, actual_slc):
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# to avoid bad slice data (no slice_name)
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expected_slc_name = expected_slc.slice_name or ""
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actual_slc_name = actual_slc.slice_name or ""
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self.assertEquals(expected_slc_name, actual_slc_name)
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self.assertEquals(expected_slc.datasource_type, actual_slc.datasource_type)
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self.assertEquals(expected_slc.viz_type, actual_slc.viz_type)
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self.assertEquals(
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json.loads(expected_slc.params), json.loads(actual_slc.params)
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)
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def test_export_1_dashboard(self):
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self.login("admin")
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birth_dash = self.get_dash_by_slug("births")
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export_dash_url = "/dashboard/export_dashboards_form?id={}&action=go".format(
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birth_dash.id
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)
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resp = self.client.get(export_dash_url)
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exported_dashboards = json.loads(
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resp.data.decode("utf-8"), object_hook=utils.decode_dashboards
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)["dashboards"]
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birth_dash = self.get_dash_by_slug("births")
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self.assert_dash_equals(birth_dash, exported_dashboards[0])
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self.assertEquals(
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birth_dash.id,
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json.loads(
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exported_dashboards[0].json_metadata,
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object_hook=utils.decode_dashboards,
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)["remote_id"],
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)
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exported_tables = json.loads(
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resp.data.decode("utf-8"), object_hook=utils.decode_dashboards
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)["datasources"]
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self.assertEquals(1, len(exported_tables))
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self.assert_table_equals(
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self.get_table_by_name("birth_names"), exported_tables[0]
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)
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def test_export_2_dashboards(self):
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self.login("admin")
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birth_dash = self.get_dash_by_slug("births")
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world_health_dash = self.get_dash_by_slug("world_health")
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export_dash_url = "/dashboard/export_dashboards_form?id={}&id={}&action=go".format( # noqa ignore: E50
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birth_dash.id, world_health_dash.id
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)
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resp = self.client.get(export_dash_url)
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exported_dashboards = sorted(
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json.loads(resp.data.decode("utf-8"), object_hook=utils.decode_dashboards)[
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"dashboards"
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],
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key=lambda d: d.dashboard_title,
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)
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self.assertEquals(2, len(exported_dashboards))
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birth_dash = self.get_dash_by_slug("births")
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self.assert_dash_equals(birth_dash, exported_dashboards[0])
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self.assertEquals(
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birth_dash.id, json.loads(exported_dashboards[0].json_metadata)["remote_id"]
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)
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world_health_dash = self.get_dash_by_slug("world_health")
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self.assert_dash_equals(world_health_dash, exported_dashboards[1])
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self.assertEquals(
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world_health_dash.id,
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json.loads(exported_dashboards[1].json_metadata)["remote_id"],
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)
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exported_tables = sorted(
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json.loads(resp.data.decode("utf-8"), object_hook=utils.decode_dashboards)[
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"datasources"
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],
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key=lambda t: t.table_name,
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)
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self.assertEquals(2, len(exported_tables))
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self.assert_table_equals(
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self.get_table_by_name("birth_names"), exported_tables[0]
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)
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self.assert_table_equals(
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self.get_table_by_name("wb_health_population"), exported_tables[1]
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)
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def test_import_1_slice(self):
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expected_slice = self.create_slice("Import Me", id=10001)
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slc_id = models.Slice.import_obj(expected_slice, None, import_time=1989)
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slc = self.get_slice(slc_id)
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self.assertEquals(slc.datasource.perm, slc.perm)
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self.assert_slice_equals(expected_slice, slc)
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table_id = self.get_table_by_name("wb_health_population").id
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self.assertEquals(table_id, self.get_slice(slc_id).datasource_id)
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def test_import_2_slices_for_same_table(self):
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table_id = self.get_table_by_name("wb_health_population").id
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# table_id != 666, import func will have to find the table
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slc_1 = self.create_slice("Import Me 1", ds_id=666, id=10002)
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slc_id_1 = models.Slice.import_obj(slc_1, None)
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slc_2 = self.create_slice("Import Me 2", ds_id=666, id=10003)
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slc_id_2 = models.Slice.import_obj(slc_2, None)
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imported_slc_1 = self.get_slice(slc_id_1)
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imported_slc_2 = self.get_slice(slc_id_2)
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self.assertEquals(table_id, imported_slc_1.datasource_id)
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self.assert_slice_equals(slc_1, imported_slc_1)
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self.assertEquals(imported_slc_1.datasource.perm, imported_slc_1.perm)
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self.assertEquals(table_id, imported_slc_2.datasource_id)
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self.assert_slice_equals(slc_2, imported_slc_2)
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self.assertEquals(imported_slc_2.datasource.perm, imported_slc_2.perm)
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def test_import_slices_for_non_existent_table(self):
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with self.assertRaises(IndexError):
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models.Slice.import_obj(
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self.create_slice("Import Me 3", id=10004, table_name="non_existent"),
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None,
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)
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def test_import_slices_override(self):
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slc = self.create_slice("Import Me New", id=10005)
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slc_1_id = models.Slice.import_obj(slc, None, import_time=1990)
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slc.slice_name = "Import Me New"
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imported_slc_1 = self.get_slice(slc_1_id)
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slc_2 = self.create_slice("Import Me New", id=10005)
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slc_2_id = models.Slice.import_obj(slc_2, imported_slc_1, import_time=1990)
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self.assertEquals(slc_1_id, slc_2_id)
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imported_slc_2 = self.get_slice(slc_2_id)
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self.assert_slice_equals(slc, imported_slc_2)
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def test_import_empty_dashboard(self):
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empty_dash = self.create_dashboard("empty_dashboard", id=10001)
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imported_dash_id = models.Dashboard.import_obj(empty_dash, import_time=1989)
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imported_dash = self.get_dash(imported_dash_id)
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self.assert_dash_equals(empty_dash, imported_dash, check_position=False)
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def test_import_dashboard_1_slice(self):
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slc = self.create_slice("health_slc", id=10006)
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dash_with_1_slice = self.create_dashboard(
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"dash_with_1_slice", slcs=[slc], id=10002
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)
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dash_with_1_slice.position_json = """
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{{"DASHBOARD_VERSION_KEY": "v2",
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"DASHBOARD_CHART_TYPE-{0}": {{
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"type": "DASHBOARD_CHART_TYPE",
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"id": {0},
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"children": [],
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"meta": {{
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"width": 4,
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"height": 50,
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"chartId": {0}
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}}
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}}
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}}
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""".format(
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slc.id
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)
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imported_dash_id = models.Dashboard.import_obj(
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dash_with_1_slice, import_time=1990
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)
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imported_dash = self.get_dash(imported_dash_id)
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expected_dash = self.create_dashboard("dash_with_1_slice", slcs=[slc], id=10002)
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make_transient(expected_dash)
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self.assert_dash_equals(expected_dash, imported_dash, check_position=False)
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self.assertEquals(
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{"remote_id": 10002, "import_time": 1990},
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json.loads(imported_dash.json_metadata),
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)
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expected_position = dash_with_1_slice.position
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self.assertEquals(expected_position, imported_dash.position)
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def test_import_dashboard_2_slices(self):
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e_slc = self.create_slice("e_slc", id=10007, table_name="energy_usage")
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b_slc = self.create_slice("b_slc", id=10008, table_name="birth_names")
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dash_with_2_slices = self.create_dashboard(
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"dash_with_2_slices", slcs=[e_slc, b_slc], id=10003
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)
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dash_with_2_slices.json_metadata = json.dumps(
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{
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"remote_id": 10003,
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"filter_immune_slices": ["{}".format(e_slc.id)],
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"expanded_slices": {
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"{}".format(e_slc.id): True,
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"{}".format(b_slc.id): False,
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},
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}
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)
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imported_dash_id = models.Dashboard.import_obj(
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dash_with_2_slices, import_time=1991
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)
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imported_dash = self.get_dash(imported_dash_id)
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expected_dash = self.create_dashboard(
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"dash_with_2_slices", slcs=[e_slc, b_slc], id=10003
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)
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make_transient(expected_dash)
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self.assert_dash_equals(imported_dash, expected_dash, check_position=False)
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i_e_slc = self.get_slice_by_name("e_slc")
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i_b_slc = self.get_slice_by_name("b_slc")
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expected_json_metadata = {
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"remote_id": 10003,
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"import_time": 1991,
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"filter_immune_slices": ["{}".format(i_e_slc.id)],
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"expanded_slices": {
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"{}".format(i_e_slc.id): True,
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"{}".format(i_b_slc.id): False,
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},
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}
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self.assertEquals(
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expected_json_metadata, json.loads(imported_dash.json_metadata)
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)
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def test_import_override_dashboard_2_slices(self):
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e_slc = self.create_slice("e_slc", id=10009, table_name="energy_usage")
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b_slc = self.create_slice("b_slc", id=10010, table_name="birth_names")
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dash_to_import = self.create_dashboard(
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"override_dashboard", slcs=[e_slc, b_slc], id=10004
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)
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imported_dash_id_1 = models.Dashboard.import_obj(
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dash_to_import, import_time=1992
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)
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# create new instances of the slices
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e_slc = self.create_slice("e_slc", id=10009, table_name="energy_usage")
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b_slc = self.create_slice("b_slc", id=10010, table_name="birth_names")
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c_slc = self.create_slice("c_slc", id=10011, table_name="birth_names")
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dash_to_import_override = self.create_dashboard(
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"override_dashboard_new", slcs=[e_slc, b_slc, c_slc], id=10004
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)
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imported_dash_id_2 = models.Dashboard.import_obj(
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dash_to_import_override, import_time=1992
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)
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# override doesn't change the id
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self.assertEquals(imported_dash_id_1, imported_dash_id_2)
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expected_dash = self.create_dashboard(
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"override_dashboard_new", slcs=[e_slc, b_slc, c_slc], id=10004
|
|
)
|
|
make_transient(expected_dash)
|
|
imported_dash = self.get_dash(imported_dash_id_2)
|
|
self.assert_dash_equals(expected_dash, imported_dash, check_position=False)
|
|
self.assertEquals(
|
|
{"remote_id": 10004, "import_time": 1992},
|
|
json.loads(imported_dash.json_metadata),
|
|
)
|
|
|
|
def test_import_table_no_metadata(self):
|
|
table = self.create_table("pure_table", id=10001)
|
|
imported_id = SqlaTable.import_obj(table, import_time=1989)
|
|
imported = self.get_table(imported_id)
|
|
self.assert_table_equals(table, imported)
|
|
|
|
def test_import_table_1_col_1_met(self):
|
|
table = self.create_table(
|
|
"table_1_col_1_met", id=10002, cols_names=["col1"], metric_names=["metric1"]
|
|
)
|
|
imported_id = SqlaTable.import_obj(table, import_time=1990)
|
|
imported = self.get_table(imported_id)
|
|
self.assert_table_equals(table, imported)
|
|
self.assertEquals(
|
|
{"remote_id": 10002, "import_time": 1990, "database_name": "main"},
|
|
json.loads(imported.params),
|
|
)
|
|
|
|
def test_import_table_2_col_2_met(self):
|
|
table = self.create_table(
|
|
"table_2_col_2_met",
|
|
id=10003,
|
|
cols_names=["c1", "c2"],
|
|
metric_names=["m1", "m2"],
|
|
)
|
|
imported_id = SqlaTable.import_obj(table, import_time=1991)
|
|
|
|
imported = self.get_table(imported_id)
|
|
self.assert_table_equals(table, imported)
|
|
|
|
def test_import_table_override(self):
|
|
table = self.create_table(
|
|
"table_override", id=10003, cols_names=["col1"], metric_names=["m1"]
|
|
)
|
|
imported_id = SqlaTable.import_obj(table, import_time=1991)
|
|
|
|
table_over = self.create_table(
|
|
"table_override",
|
|
id=10003,
|
|
cols_names=["new_col1", "col2", "col3"],
|
|
metric_names=["new_metric1"],
|
|
)
|
|
imported_over_id = SqlaTable.import_obj(table_over, import_time=1992)
|
|
|
|
imported_over = self.get_table(imported_over_id)
|
|
self.assertEquals(imported_id, imported_over.id)
|
|
expected_table = self.create_table(
|
|
"table_override",
|
|
id=10003,
|
|
metric_names=["new_metric1", "m1"],
|
|
cols_names=["col1", "new_col1", "col2", "col3"],
|
|
)
|
|
self.assert_table_equals(expected_table, imported_over)
|
|
|
|
def test_import_table_override_identical(self):
|
|
table = self.create_table(
|
|
"copy_cat",
|
|
id=10004,
|
|
cols_names=["new_col1", "col2", "col3"],
|
|
metric_names=["new_metric1"],
|
|
)
|
|
imported_id = SqlaTable.import_obj(table, import_time=1993)
|
|
|
|
copy_table = self.create_table(
|
|
"copy_cat",
|
|
id=10004,
|
|
cols_names=["new_col1", "col2", "col3"],
|
|
metric_names=["new_metric1"],
|
|
)
|
|
imported_id_copy = SqlaTable.import_obj(copy_table, import_time=1994)
|
|
|
|
self.assertEquals(imported_id, imported_id_copy)
|
|
self.assert_table_equals(copy_table, self.get_table(imported_id))
|
|
|
|
def test_import_druid_no_metadata(self):
|
|
datasource = self.create_druid_datasource("pure_druid", id=10001)
|
|
imported_id = DruidDatasource.import_obj(datasource, import_time=1989)
|
|
imported = self.get_datasource(imported_id)
|
|
self.assert_datasource_equals(datasource, imported)
|
|
|
|
def test_import_druid_1_col_1_met(self):
|
|
datasource = self.create_druid_datasource(
|
|
"druid_1_col_1_met", id=10002, cols_names=["col1"], metric_names=["metric1"]
|
|
)
|
|
imported_id = DruidDatasource.import_obj(datasource, import_time=1990)
|
|
imported = self.get_datasource(imported_id)
|
|
self.assert_datasource_equals(datasource, imported)
|
|
self.assertEquals(
|
|
{"remote_id": 10002, "import_time": 1990, "database_name": "druid_test"},
|
|
json.loads(imported.params),
|
|
)
|
|
|
|
def test_import_druid_2_col_2_met(self):
|
|
datasource = self.create_druid_datasource(
|
|
"druid_2_col_2_met",
|
|
id=10003,
|
|
cols_names=["c1", "c2"],
|
|
metric_names=["m1", "m2"],
|
|
)
|
|
imported_id = DruidDatasource.import_obj(datasource, import_time=1991)
|
|
imported = self.get_datasource(imported_id)
|
|
self.assert_datasource_equals(datasource, imported)
|
|
|
|
def test_import_druid_override(self):
|
|
datasource = self.create_druid_datasource(
|
|
"druid_override", id=10004, cols_names=["col1"], metric_names=["m1"]
|
|
)
|
|
imported_id = DruidDatasource.import_obj(datasource, import_time=1991)
|
|
table_over = self.create_druid_datasource(
|
|
"druid_override",
|
|
id=10004,
|
|
cols_names=["new_col1", "col2", "col3"],
|
|
metric_names=["new_metric1"],
|
|
)
|
|
imported_over_id = DruidDatasource.import_obj(table_over, import_time=1992)
|
|
|
|
imported_over = self.get_datasource(imported_over_id)
|
|
self.assertEquals(imported_id, imported_over.id)
|
|
expected_datasource = self.create_druid_datasource(
|
|
"druid_override",
|
|
id=10004,
|
|
metric_names=["new_metric1", "m1"],
|
|
cols_names=["col1", "new_col1", "col2", "col3"],
|
|
)
|
|
self.assert_datasource_equals(expected_datasource, imported_over)
|
|
|
|
def test_import_druid_override_identical(self):
|
|
datasource = self.create_druid_datasource(
|
|
"copy_cat",
|
|
id=10005,
|
|
cols_names=["new_col1", "col2", "col3"],
|
|
metric_names=["new_metric1"],
|
|
)
|
|
imported_id = DruidDatasource.import_obj(datasource, import_time=1993)
|
|
|
|
copy_datasource = self.create_druid_datasource(
|
|
"copy_cat",
|
|
id=10005,
|
|
cols_names=["new_col1", "col2", "col3"],
|
|
metric_names=["new_metric1"],
|
|
)
|
|
imported_id_copy = DruidDatasource.import_obj(copy_datasource, import_time=1994)
|
|
|
|
self.assertEquals(imported_id, imported_id_copy)
|
|
self.assert_datasource_equals(copy_datasource, self.get_datasource(imported_id))
|
|
|
|
|
|
if __name__ == "__main__":
|
|
unittest.main()
|