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#
# http://www.apache.org/licenses/LICENSE-2.0
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# isort:skip_file
"""Unit tests for Superset"""
import json
import unittest
from uuid import uuid4
import yaml
from tests.test_app import app
from superset import db
from superset.connectors.druid.models import (
DruidColumn,
DruidDatasource,
DruidMetric,
DruidCluster,
)
from superset.connectors.sqla.models import SqlaTable, SqlMetric, TableColumn
from superset.utils.core import get_example_database
from superset.utils.dict_import_export import export_to_dict
from .base_tests import SupersetTestCase
DBREF = "dict_import__export_test"
NAME_PREFIX = "dict_"
ID_PREFIX = 20000
class TestDictImportExport(SupersetTestCase):
"""Testing export import functionality for dashboards"""
@classmethod
def delete_imports(cls):
with app.app_context():
# Imported data clean up
session = db.session
for table in session.query(SqlaTable):
if DBREF in table.params_dict:
session.delete(table)
for datasource in session.query(DruidDatasource):
if DBREF in datasource.params_dict:
session.delete(datasource)
session.commit()
@classmethod
def setUpClass(cls):
cls.delete_imports()
@classmethod
def tearDownClass(cls):
cls.delete_imports()
def create_table(
self, name, schema="", id=0, cols_names=[], cols_uuids=None, metric_names=[]
):
database_name = "main"
name = "{0}{1}".format(NAME_PREFIX, name)
params = {DBREF: id, "database_name": database_name}
if cols_uuids is None:
cols_uuids = [None] * len(cols_names)
dict_rep = {
"database_id": get_example_database().id,
"table_name": name,
"schema": schema,
"id": id,
"params": json.dumps(params),
"columns": [
{"column_name": c, "uuid": u} for c, u in zip(cols_names, cols_uuids)
],
"metrics": [{"metric_name": c, "expression": ""} for c in metric_names],
}
table = SqlaTable(
id=id, schema=schema, table_name=name, params=json.dumps(params)
)
for col_name, uuid in zip(cols_names, cols_uuids):
table.columns.append(TableColumn(column_name=col_name, uuid=uuid))
for metric_name in metric_names:
table.metrics.append(SqlMetric(metric_name=metric_name, expression=""))
return table, dict_rep
def create_druid_datasource(self, name, id=0, cols_names=[], metric_names=[]):
cluster_name = "druid_test"
cluster = self.get_or_create(
DruidCluster, {"cluster_name": cluster_name}, db.session
)
name = "{0}{1}".format(NAME_PREFIX, name)
params = {DBREF: id, "database_name": cluster_name}
dict_rep = {
"cluster_id": cluster.id,
"datasource_name": name,
"id": id,
"params": json.dumps(params),
"columns": [{"column_name": c} for c in cols_names],
"metrics": [{"metric_name": c, "json": "{}"} for c in metric_names],
}
datasource = DruidDatasource(
id=id,
datasource_name=name,
cluster_id=cluster.id,
params=json.dumps(params),
)
for col_name in cols_names:
datasource.columns.append(DruidColumn(column_name=col_name))
for metric_name in metric_names:
datasource.metrics.append(DruidMetric(metric_name=metric_name))
return datasource, dict_rep
def get_datasource(self, datasource_id):
return db.session.query(DruidDatasource).filter_by(id=datasource_id).first()
def get_table_by_name(self, name):
return db.session.query(SqlaTable).filter_by(table_name=name).first()
def yaml_compare(self, obj_1, obj_2):
obj_1_str = yaml.safe_dump(obj_1, default_flow_style=False)
obj_2_str = yaml.safe_dump(obj_2, default_flow_style=False)
self.assertEqual(obj_1_str, obj_2_str)
def assert_table_equals(self, expected_ds, actual_ds):
self.assertEqual(expected_ds.table_name, actual_ds.table_name)
self.assertEqual(expected_ds.main_dttm_col, actual_ds.main_dttm_col)
self.assertEqual(expected_ds.schema, actual_ds.schema)
self.assertEqual(len(expected_ds.metrics), len(actual_ds.metrics))
self.assertEqual(len(expected_ds.columns), len(actual_ds.columns))
self.assertEqual(
set([c.column_name for c in expected_ds.columns]),
set([c.column_name for c in actual_ds.columns]),
)
self.assertEqual(
set([m.metric_name for m in expected_ds.metrics]),
set([m.metric_name for m in actual_ds.metrics]),
)
def assert_datasource_equals(self, expected_ds, actual_ds):
self.assertEqual(expected_ds.datasource_name, actual_ds.datasource_name)
self.assertEqual(expected_ds.main_dttm_col, actual_ds.main_dttm_col)
self.assertEqual(len(expected_ds.metrics), len(actual_ds.metrics))
self.assertEqual(len(expected_ds.columns), len(actual_ds.columns))
self.assertEqual(
set([c.column_name for c in expected_ds.columns]),
set([c.column_name for c in actual_ds.columns]),
)
self.assertEqual(
set([m.metric_name for m in expected_ds.metrics]),
set([m.metric_name for m in actual_ds.metrics]),
)
def test_import_table_no_metadata(self):
table, dict_table = self.create_table("pure_table", id=ID_PREFIX + 1)
new_table = SqlaTable.import_from_dict(db.session, dict_table)
db.session.commit()
imported_id = new_table.id
imported = self.get_table_by_id(imported_id)
self.assert_table_equals(table, imported)
self.yaml_compare(table.export_to_dict(), imported.export_to_dict())
def test_import_table_1_col_1_met(self):
table, dict_table = self.create_table(
"table_1_col_1_met",
id=ID_PREFIX + 2,
cols_names=["col1"],
cols_uuids=[uuid4()],
metric_names=["metric1"],
)
imported_table = SqlaTable.import_from_dict(db.session, dict_table)
db.session.commit()
imported = self.get_table_by_id(imported_table.id)
self.assert_table_equals(table, imported)
self.assertEqual(
{DBREF: ID_PREFIX + 2, "database_name": "main"}, json.loads(imported.params)
)
self.yaml_compare(table.export_to_dict(), imported.export_to_dict())
def test_import_table_2_col_2_met(self):
table, dict_table = self.create_table(
"table_2_col_2_met",
id=ID_PREFIX + 3,
cols_names=["c1", "c2"],
cols_uuids=[uuid4(), uuid4()],
metric_names=["m1", "m2"],
)
imported_table = SqlaTable.import_from_dict(db.session, dict_table)
db.session.commit()
imported = self.get_table_by_id(imported_table.id)
self.assert_table_equals(table, imported)
self.yaml_compare(table.export_to_dict(), imported.export_to_dict())
def test_import_table_override_append(self):
table, dict_table = self.create_table(
"table_override", id=ID_PREFIX + 3, cols_names=["col1"], metric_names=["m1"]
)
imported_table = SqlaTable.import_from_dict(db.session, dict_table)
db.session.commit()
table_over, dict_table_over = self.create_table(
"table_override",
id=ID_PREFIX + 3,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_over_table = SqlaTable.import_from_dict(db.session, dict_table_over)
db.session.commit()
imported_over = self.get_table_by_id(imported_over_table.id)
self.assertEqual(imported_table.id, imported_over.id)
expected_table, _ = self.create_table(
"table_override",
id=ID_PREFIX + 3,
metric_names=["new_metric1", "m1"],
cols_names=["col1", "new_col1", "col2", "col3"],
cols_uuids=[col.uuid for col in imported_over.columns],
)
self.assert_table_equals(expected_table, imported_over)
self.yaml_compare(
expected_table.export_to_dict(), imported_over.export_to_dict()
)
def test_import_table_override_sync(self):
table, dict_table = self.create_table(
"table_override", id=ID_PREFIX + 3, cols_names=["col1"], metric_names=["m1"]
)
imported_table = SqlaTable.import_from_dict(db.session, dict_table)
db.session.commit()
table_over, dict_table_over = self.create_table(
"table_override",
id=ID_PREFIX + 3,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_over_table = SqlaTable.import_from_dict(
session=db.session, dict_rep=dict_table_over, sync=["metrics", "columns"]
)
db.session.commit()
imported_over = self.get_table_by_id(imported_over_table.id)
self.assertEqual(imported_table.id, imported_over.id)
expected_table, _ = self.create_table(
"table_override",
id=ID_PREFIX + 3,
metric_names=["new_metric1"],
cols_names=["new_col1", "col2", "col3"],
cols_uuids=[col.uuid for col in imported_over.columns],
)
self.assert_table_equals(expected_table, imported_over)
self.yaml_compare(
expected_table.export_to_dict(), imported_over.export_to_dict()
)
def test_import_table_override_identical(self):
table, dict_table = self.create_table(
"copy_cat",
id=ID_PREFIX + 4,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_table = SqlaTable.import_from_dict(db.session, dict_table)
db.session.commit()
copy_table, dict_copy_table = self.create_table(
"copy_cat",
id=ID_PREFIX + 4,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_copy_table = SqlaTable.import_from_dict(db.session, dict_copy_table)
db.session.commit()
self.assertEqual(imported_table.id, imported_copy_table.id)
self.assert_table_equals(copy_table, self.get_table_by_id(imported_table.id))
self.yaml_compare(
imported_copy_table.export_to_dict(), imported_table.export_to_dict()
)
def test_export_datasource_ui_cli(self):
# TODO(bkyryliuk): find fake db is leaking from
self.delete_fake_db()
cli_export = export_to_dict(
session=db.session,
recursive=True,
back_references=False,
include_defaults=False,
)
self.get_resp("/login/", data=dict(username="admin", password="general"))
resp = self.get_resp(
"/databaseview/action_post", {"action": "yaml_export", "rowid": 1}
)
ui_export = yaml.safe_load(resp)
self.assertEqual(
ui_export["databases"][0]["database_name"],
cli_export["databases"][0]["database_name"],
)
self.assertEqual(
ui_export["databases"][0]["tables"], cli_export["databases"][0]["tables"]
)
def test_import_druid_no_metadata(self):
datasource, dict_datasource = self.create_druid_datasource(
"pure_druid", id=ID_PREFIX + 1
)
imported_cluster = DruidDatasource.import_from_dict(db.session, dict_datasource)
db.session.commit()
imported = self.get_datasource(imported_cluster.id)
self.assert_datasource_equals(datasource, imported)
def test_import_druid_1_col_1_met(self):
datasource, dict_datasource = self.create_druid_datasource(
"druid_1_col_1_met",
id=ID_PREFIX + 2,
cols_names=["col1"],
metric_names=["metric1"],
)
imported_cluster = DruidDatasource.import_from_dict(db.session, dict_datasource)
db.session.commit()
imported = self.get_datasource(imported_cluster.id)
self.assert_datasource_equals(datasource, imported)
self.assertEqual(
{DBREF: ID_PREFIX + 2, "database_name": "druid_test"},
json.loads(imported.params),
)
def test_import_druid_2_col_2_met(self):
datasource, dict_datasource = self.create_druid_datasource(
"druid_2_col_2_met",
id=ID_PREFIX + 3,
cols_names=["c1", "c2"],
metric_names=["m1", "m2"],
)
imported_cluster = DruidDatasource.import_from_dict(db.session, dict_datasource)
db.session.commit()
imported = self.get_datasource(imported_cluster.id)
self.assert_datasource_equals(datasource, imported)
def test_import_druid_override_append(self):
datasource, dict_datasource = self.create_druid_datasource(
"druid_override", id=ID_PREFIX + 3, cols_names=["col1"], metric_names=["m1"]
)
imported_cluster = DruidDatasource.import_from_dict(db.session, dict_datasource)
db.session.commit()
table_over, table_over_dict = self.create_druid_datasource(
"druid_override",
id=ID_PREFIX + 3,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_over_cluster = DruidDatasource.import_from_dict(
db.session, table_over_dict
)
db.session.commit()
imported_over = self.get_datasource(imported_over_cluster.id)
self.assertEqual(imported_cluster.id, imported_over.id)
expected_datasource, _ = self.create_druid_datasource(
"druid_override",
id=ID_PREFIX + 3,
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_sync(self):
datasource, dict_datasource = self.create_druid_datasource(
"druid_override", id=ID_PREFIX + 3, cols_names=["col1"], metric_names=["m1"]
)
imported_cluster = DruidDatasource.import_from_dict(db.session, dict_datasource)
db.session.commit()
table_over, table_over_dict = self.create_druid_datasource(
"druid_override",
id=ID_PREFIX + 3,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_over_cluster = DruidDatasource.import_from_dict(
session=db.session, dict_rep=table_over_dict, sync=["metrics", "columns"]
) # syncing metrics and columns
db.session.commit()
imported_over = self.get_datasource(imported_over_cluster.id)
self.assertEqual(imported_cluster.id, imported_over.id)
expected_datasource, _ = self.create_druid_datasource(
"druid_override",
id=ID_PREFIX + 3,
metric_names=["new_metric1"],
cols_names=["new_col1", "col2", "col3"],
)
self.assert_datasource_equals(expected_datasource, imported_over)
def test_import_druid_override_identical(self):
datasource, dict_datasource = self.create_druid_datasource(
"copy_cat",
id=ID_PREFIX + 4,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported = DruidDatasource.import_from_dict(
session=db.session, dict_rep=dict_datasource
)
db.session.commit()
copy_datasource, dict_cp_datasource = self.create_druid_datasource(
"copy_cat",
id=ID_PREFIX + 4,
cols_names=["new_col1", "col2", "col3"],
metric_names=["new_metric1"],
)
imported_copy = DruidDatasource.import_from_dict(db.session, dict_cp_datasource)
db.session.commit()
self.assertEqual(imported.id, imported_copy.id)
self.assert_datasource_equals(copy_datasource, self.get_datasource(imported.id))
if __name__ == "__main__":
unittest.main()