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# isort:skip_file
"""Unit tests for Superset"""
import json
import unittest
from uuid import uuid4

import yaml

from tests.integration_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=None, 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 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()