# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
"""Unit tests for Superset"""
import json
import unittest

import yaml

from superset import db
from superset.connectors.druid.models import (
    DruidColumn, DruidDatasource, DruidMetric,
)
from superset.connectors.sqla.models import SqlaTable, SqlMetric, TableColumn
from superset.utils.core import get_main_database
from .base_tests import SupersetTestCase

DBREF = 'dict_import__export_test'
NAME_PREFIX = 'dict_'
ID_PREFIX = 20000


class DictImportExportTests(SupersetTestCase):
    """Testing export import functionality for dashboards"""
    def __init__(self, *args, **kwargs):
        super(DictImportExportTests, self).__init__(*args, **kwargs)

    @classmethod
    def delete_imports(cls):
        # 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=[], metric_names=[]):
        database_name = 'main'
        name = '{0}{1}'.format(NAME_PREFIX, name)
        params = {DBREF: id, 'database_name': database_name}

        dict_rep = {
            'database_id': get_main_database(db.session).id,
            'table_name': name,
            'schema': schema,
            'id': id,
            'params': json.dumps(params),
            'columns': [{'column_name': c}
                        for c in cols_names],
            'metrics': [{'metric_name': c} for c in metric_names],
        }

        table = SqlaTable(
            id=id,
            schema=schema,
            table_name=name,
            params=json.dumps(params),
        )
        for col_name in cols_names:
            table.columns.append(TableColumn(column_name=col_name))
        for metric_name in metric_names:
            table.metrics.append(SqlMetric(metric_name=metric_name))
        return table, dict_rep

    def create_druid_datasource(
            self, name, id=0, cols_names=[], metric_names=[]):
        name = '{0}{1}'.format(NAME_PREFIX, name)
        cluster_name = 'druid_test'
        params = {DBREF: id, 'database_name': cluster_name}
        dict_rep = {
            'cluster_name': cluster_name,
            'datasource_name': name,
            'id': id,
            'params': json.dumps(params),
            'columns': [{'column_name': c} for c in cols_names],
            'metrics': [{'metric_name': c} for c in metric_names],
        }

        datasource = DruidDatasource(
            id=id,
            datasource_name=name,
            cluster_name=cluster_name,
            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.assertEquals(obj_1_str, obj_2_str)

    def assert_table_equals(self, expected_ds, actual_ds):
        self.assertEquals(expected_ds.table_name, actual_ds.table_name)
        self.assertEquals(expected_ds.main_dttm_col, actual_ds.main_dttm_col)
        self.assertEquals(expected_ds.schema, actual_ds.schema)
        self.assertEquals(len(expected_ds.metrics), len(actual_ds.metrics))
        self.assertEquals(len(expected_ds.columns), len(actual_ds.columns))
        self.assertEquals(
            set([c.column_name for c in expected_ds.columns]),
            set([c.column_name for c in actual_ds.columns]))
        self.assertEquals(
            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.assertEquals(
            expected_ds.datasource_name, actual_ds.datasource_name)
        self.assertEquals(expected_ds.main_dttm_col, actual_ds.main_dttm_col)
        self.assertEquals(len(expected_ds.metrics), len(actual_ds.metrics))
        self.assertEquals(len(expected_ds.columns), len(actual_ds.columns))
        self.assertEquals(
            set([c.column_name for c in expected_ds.columns]),
            set([c.column_name for c in actual_ds.columns]))
        self.assertEquals(
            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(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'], metric_names=['metric1'])
        imported_table = SqlaTable.import_from_dict(db.session, dict_table)
        db.session.commit()
        imported = self.get_table(imported_table.id)
        self.assert_table_equals(table, imported)
        self.assertEquals(
            {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'],
            metric_names=['m1', 'm2'])
        imported_table = SqlaTable.import_from_dict(db.session, dict_table)
        db.session.commit()
        imported = self.get_table(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(imported_over_table.id)
        self.assertEquals(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'])
        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(imported_over_table.id)
        self.assertEquals(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'])
        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.assertEquals(imported_table.id, imported_copy_table.id)
        self.assert_table_equals(copy_table, self.get_table(imported_table.id))
        self.yaml_compare(imported_copy_table.export_to_dict(),
                          imported_table.export_to_dict())

    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.assertEquals(
            {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.assertEquals(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.assertEquals(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.assertEquals(imported.id, imported_copy.id)
        self.assert_datasource_equals(
            copy_datasource, self.get_datasource(imported.id))


if __name__ == '__main__':
    unittest.main()
