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# to you under the Apache License, Version 2.0 (the
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#
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# pylint: disable=no-self-use, invalid-name

import itertools
import json
from unittest.mock import MagicMock, patch

import pytest
import yaml
from werkzeug.utils import secure_filename

from superset import db, security_manager
from superset.commands.exceptions import CommandInvalidError
from superset.commands.importers.exceptions import IncorrectVersionError
from superset.connectors.sqla.models import SqlaTable
from superset.dashboards.commands.exceptions import DashboardNotFoundError
from superset.dashboards.commands.export import (
    append_charts,
    ExportDashboardsCommand,
    get_default_position,
)
from superset.dashboards.commands.importers import v0, v1
from superset.models.core import Database
from superset.models.dashboard import Dashboard
from superset.models.slice import Slice
from tests.base_tests import SupersetTestCase
from tests.fixtures.importexport import (
    chart_config,
    dashboard_config,
    dashboard_export,
    dashboard_metadata_config,
    database_config,
    dataset_config,
    dataset_metadata_config,
)
from tests.fixtures.world_bank_dashboard import load_world_bank_dashboard_with_slices


class TestExportDashboardsCommand(SupersetTestCase):
    @pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
    @patch("superset.security.manager.g")
    @patch("superset.views.base.g")
    def test_export_dashboard_command(self, mock_g1, mock_g2):
        mock_g1.user = security_manager.find_user("admin")
        mock_g2.user = security_manager.find_user("admin")

        example_dashboard = (
            db.session.query(Dashboard).filter_by(slug="world_health").one()
        )
        command = ExportDashboardsCommand([example_dashboard.id])
        contents = dict(command.run())

        expected_paths = {
            "metadata.yaml",
            "dashboards/World_Banks_Data.yaml",
            "datasets/examples/wb_health_population.yaml",
            "databases/examples.yaml",
        }
        for chart in example_dashboard.slices:
            chart_slug = secure_filename(chart.slice_name)
            expected_paths.add(f"charts/{chart_slug}_{chart.id}.yaml")
        assert expected_paths == set(contents.keys())

        metadata = yaml.safe_load(contents["dashboards/World_Banks_Data.yaml"])

        # remove chart UUIDs from metadata so we can compare
        for chart_info in metadata["position"].values():
            if isinstance(chart_info, dict) and "uuid" in chart_info.get("meta", {}):
                del chart_info["meta"]["chartId"]
                del chart_info["meta"]["uuid"]

        assert metadata == {
            "dashboard_title": "World Bank's Data",
            "description": None,
            "css": None,
            "slug": "world_health",
            "uuid": str(example_dashboard.uuid),
            "position": {
                "CHART-36bfc934": {
                    "children": [],
                    "id": "CHART-36bfc934",
                    "meta": {"height": 25, "sliceName": "Region Filter", "width": 2},
                    "type": "CHART",
                },
                "CHART-37982887": {
                    "children": [],
                    "id": "CHART-37982887",
                    "meta": {
                        "height": 25,
                        "sliceName": "World's Population",
                        "width": 2,
                    },
                    "type": "CHART",
                },
                "CHART-17e0f8d8": {
                    "children": [],
                    "id": "CHART-17e0f8d8",
                    "meta": {
                        "height": 92,
                        "sliceName": "Most Populated Countries",
                        "width": 3,
                    },
                    "type": "CHART",
                },
                "CHART-2ee52f30": {
                    "children": [],
                    "id": "CHART-2ee52f30",
                    "meta": {"height": 38, "sliceName": "Growth Rate", "width": 6},
                    "type": "CHART",
                },
                "CHART-2d5b6871": {
                    "children": [],
                    "id": "CHART-2d5b6871",
                    "meta": {"height": 52, "sliceName": "% Rural", "width": 7},
                    "type": "CHART",
                },
                "CHART-0fd0d252": {
                    "children": [],
                    "id": "CHART-0fd0d252",
                    "meta": {
                        "height": 50,
                        "sliceName": "Life Expectancy VS Rural %",
                        "width": 8,
                    },
                    "type": "CHART",
                },
                "CHART-97f4cb48": {
                    "children": [],
                    "id": "CHART-97f4cb48",
                    "meta": {"height": 38, "sliceName": "Rural Breakdown", "width": 3},
                    "type": "CHART",
                },
                "CHART-b5e05d6f": {
                    "children": [],
                    "id": "CHART-b5e05d6f",
                    "meta": {
                        "height": 50,
                        "sliceName": "World's Pop Growth",
                        "width": 4,
                    },
                    "type": "CHART",
                },
                "CHART-e76e9f5f": {
                    "children": [],
                    "id": "CHART-e76e9f5f",
                    "meta": {"height": 50, "sliceName": "Box plot", "width": 4},
                    "type": "CHART",
                },
                "CHART-a4808bba": {
                    "children": [],
                    "id": "CHART-a4808bba",
                    "meta": {"height": 50, "sliceName": "Treemap", "width": 8},
                    "type": "CHART",
                },
                "CHART-3nc0d8sk": {
                    "children": [],
                    "id": "CHART-3nc0d8sk",
                    "meta": {"height": 50, "sliceName": "Treemap", "width": 8},
                    "type": "CHART",
                },
                "COLUMN-071bbbad": {
                    "children": ["ROW-1e064e3c", "ROW-afdefba9"],
                    "id": "COLUMN-071bbbad",
                    "meta": {"background": "BACKGROUND_TRANSPARENT", "width": 9},
                    "type": "COLUMN",
                },
                "COLUMN-fe3914b8": {
                    "children": ["CHART-36bfc934", "CHART-37982887"],
                    "id": "COLUMN-fe3914b8",
                    "meta": {"background": "BACKGROUND_TRANSPARENT", "width": 2},
                    "type": "COLUMN",
                },
                "GRID_ID": {
                    "children": ["ROW-46632bc2", "ROW-3fa26c5d", "ROW-812b3f13"],
                    "id": "GRID_ID",
                    "type": "GRID",
                },
                "HEADER_ID": {
                    "id": "HEADER_ID",
                    "meta": {"text": "World's Bank Data"},
                    "type": "HEADER",
                },
                "ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
                "ROW-1e064e3c": {
                    "children": ["COLUMN-fe3914b8", "CHART-2d5b6871"],
                    "id": "ROW-1e064e3c",
                    "meta": {"background": "BACKGROUND_TRANSPARENT"},
                    "type": "ROW",
                },
                "ROW-3fa26c5d": {
                    "children": ["CHART-b5e05d6f", "CHART-0fd0d252"],
                    "id": "ROW-3fa26c5d",
                    "meta": {"background": "BACKGROUND_TRANSPARENT"},
                    "type": "ROW",
                },
                "ROW-46632bc2": {
                    "children": ["COLUMN-071bbbad", "CHART-17e0f8d8"],
                    "id": "ROW-46632bc2",
                    "meta": {"background": "BACKGROUND_TRANSPARENT"},
                    "type": "ROW",
                },
                "ROW-812b3f13": {
                    "children": ["CHART-a4808bba", "CHART-e76e9f5f"],
                    "id": "ROW-812b3f13",
                    "meta": {"background": "BACKGROUND_TRANSPARENT"},
                    "type": "ROW",
                },
                "ROW-afdefba9": {
                    "children": ["CHART-2ee52f30", "CHART-97f4cb48"],
                    "id": "ROW-afdefba9",
                    "meta": {"background": "BACKGROUND_TRANSPARENT"},
                    "type": "ROW",
                },
                "DASHBOARD_VERSION_KEY": "v2",
            },
            "metadata": {"mock_key": "mock_value"},
            "version": "1.0.0",
        }

    @pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
    @patch("superset.security.manager.g")
    @patch("superset.views.base.g")
    def test_export_dashboard_command_no_access(self, mock_g1, mock_g2):
        """Test that users can't export datasets they don't have access to"""
        mock_g1.user = security_manager.find_user("gamma")
        mock_g2.user = security_manager.find_user("gamma")

        example_dashboard = (
            db.session.query(Dashboard).filter_by(slug="world_health").one()
        )
        command = ExportDashboardsCommand([example_dashboard.id])
        contents = command.run()
        with self.assertRaises(DashboardNotFoundError):
            next(contents)

    @pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
    @patch("superset.security.manager.g")
    @patch("superset.views.base.g")
    def test_export_dashboard_command_invalid_dataset(self, mock_g1, mock_g2):
        """Test that an error is raised when exporting an invalid dataset"""
        mock_g1.user = security_manager.find_user("admin")
        mock_g2.user = security_manager.find_user("admin")
        command = ExportDashboardsCommand([-1])
        contents = command.run()
        with self.assertRaises(DashboardNotFoundError):
            next(contents)

    @pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
    @patch("superset.security.manager.g")
    @patch("superset.views.base.g")
    def test_export_dashboard_command_key_order(self, mock_g1, mock_g2):
        """Test that they keys in the YAML have the same order as export_fields"""
        mock_g1.user = security_manager.find_user("admin")
        mock_g2.user = security_manager.find_user("admin")

        example_dashboard = (
            db.session.query(Dashboard).filter_by(slug="world_health").one()
        )
        command = ExportDashboardsCommand([example_dashboard.id])
        contents = dict(command.run())

        metadata = yaml.safe_load(contents["dashboards/World_Banks_Data.yaml"])
        assert list(metadata.keys()) == [
            "dashboard_title",
            "description",
            "css",
            "slug",
            "uuid",
            "position",
            "metadata",
            "version",
        ]

    @pytest.mark.usefixtures("load_world_bank_dashboard_with_slices")
    @patch("superset.dashboards.commands.export.suffix")
    def test_append_charts(self, mock_suffix):
        """Test that oprhaned charts are added to the dashbaord position"""
        # return deterministic IDs
        mock_suffix.side_effect = (str(i) for i in itertools.count(1))

        position = get_default_position("example")
        chart_1 = db.session.query(Slice).filter_by(slice_name="Region Filter").one()
        new_position = append_charts(position, {chart_1})
        assert new_position == {
            "DASHBOARD_VERSION_KEY": "v2",
            "ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
            "GRID_ID": {
                "children": ["ROW-N-2"],
                "id": "GRID_ID",
                "parents": ["ROOT_ID"],
                "type": "GRID",
            },
            "HEADER_ID": {
                "id": "HEADER_ID",
                "meta": {"text": "example"},
                "type": "HEADER",
            },
            "ROW-N-2": {
                "children": ["CHART-1"],
                "id": "ROW-N-2",
                "meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
                "type": "ROW",
                "parents": ["ROOT_ID", "GRID_ID"],
            },
            "CHART-1": {
                "children": [],
                "id": "CHART-1",
                "meta": {
                    "chartId": chart_1.id,
                    "height": 50,
                    "sliceName": "Region Filter",
                    "uuid": str(chart_1.uuid),
                    "width": 4,
                },
                "type": "CHART",
                "parents": ["ROOT_ID", "GRID_ID", "ROW-N-2"],
            },
        }

        chart_2 = (
            db.session.query(Slice).filter_by(slice_name="World's Population").one()
        )
        new_position = append_charts(new_position, {chart_2})
        assert new_position == {
            "DASHBOARD_VERSION_KEY": "v2",
            "ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
            "GRID_ID": {
                "children": ["ROW-N-2", "ROW-N-4"],
                "id": "GRID_ID",
                "parents": ["ROOT_ID"],
                "type": "GRID",
            },
            "HEADER_ID": {
                "id": "HEADER_ID",
                "meta": {"text": "example"},
                "type": "HEADER",
            },
            "ROW-N-2": {
                "children": ["CHART-1"],
                "id": "ROW-N-2",
                "meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
                "type": "ROW",
                "parents": ["ROOT_ID", "GRID_ID"],
            },
            "ROW-N-4": {
                "children": ["CHART-3"],
                "id": "ROW-N-4",
                "meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
                "type": "ROW",
                "parents": ["ROOT_ID", "GRID_ID"],
            },
            "CHART-1": {
                "children": [],
                "id": "CHART-1",
                "meta": {
                    "chartId": chart_1.id,
                    "height": 50,
                    "sliceName": "Region Filter",
                    "uuid": str(chart_1.uuid),
                    "width": 4,
                },
                "type": "CHART",
                "parents": ["ROOT_ID", "GRID_ID", "ROW-N-2"],
            },
            "CHART-3": {
                "children": [],
                "id": "CHART-3",
                "meta": {
                    "chartId": chart_2.id,
                    "height": 50,
                    "sliceName": "World's Population",
                    "uuid": str(chart_2.uuid),
                    "width": 4,
                },
                "type": "CHART",
                "parents": ["ROOT_ID", "GRID_ID", "ROW-N-4"],
            },
        }

        position = {"DASHBOARD_VERSION_KEY": "v2"}
        new_position = append_charts(position, [chart_1, chart_2])
        assert new_position == {
            "CHART-5": {
                "children": [],
                "id": "CHART-5",
                "meta": {
                    "chartId": chart_1.id,
                    "height": 50,
                    "sliceName": "Region Filter",
                    "uuid": str(chart_1.uuid),
                    "width": 4,
                },
                "type": "CHART",
            },
            "CHART-6": {
                "children": [],
                "id": "CHART-6",
                "meta": {
                    "chartId": chart_2.id,
                    "height": 50,
                    "sliceName": "World's Population",
                    "uuid": str(chart_2.uuid),
                    "width": 4,
                },
                "type": "CHART",
            },
            "DASHBOARD_VERSION_KEY": "v2",
        }


class TestImportDashboardsCommand(SupersetTestCase):
    def test_import_v0_dashboard_cli_export(self):
        num_dashboards = db.session.query(Dashboard).count()
        num_charts = db.session.query(Slice).count()
        num_datasets = db.session.query(SqlaTable).count()
        num_databases = db.session.query(Database).count()

        contents = {
            "20201119_181105.json": json.dumps(dashboard_export),
        }
        command = v0.ImportDashboardsCommand(contents)
        command.run()

        new_num_dashboards = db.session.query(Dashboard).count()
        new_num_charts = db.session.query(Slice).count()
        new_num_datasets = db.session.query(SqlaTable).count()
        new_num_databases = db.session.query(Database).count()
        assert new_num_dashboards == num_dashboards + 1
        assert new_num_charts == num_charts + 1
        assert new_num_datasets == num_datasets + 1
        assert new_num_databases == num_databases

        dashboard = (
            db.session.query(Dashboard).filter_by(dashboard_title="Births 2").one()
        )
        assert len(dashboard.slices) == 1
        chart = dashboard.slices[0]
        assert chart.slice_name == "Number of California Births"

        dataset = chart.table
        assert dataset.table_name == "birth_names_2"

        database = dataset.database
        assert database.database_name == "examples"

        db.session.delete(dashboard)
        db.session.delete(chart)
        db.session.delete(dataset)
        db.session.commit()

    def test_import_v1_dashboard(self):
        """Test that we can import a dashboard"""
        contents = {
            "metadata.yaml": yaml.safe_dump(dashboard_metadata_config),
            "databases/imported_database.yaml": yaml.safe_dump(database_config),
            "datasets/imported_dataset.yaml": yaml.safe_dump(dataset_config),
            "charts/imported_chart.yaml": yaml.safe_dump(chart_config),
            "dashboards/imported_dashboard.yaml": yaml.safe_dump(dashboard_config),
        }
        command = v1.ImportDashboardsCommand(contents)
        command.run()

        dashboard = (
            db.session.query(Dashboard).filter_by(uuid=dashboard_config["uuid"]).one()
        )

        assert len(dashboard.slices) == 1
        chart = dashboard.slices[0]
        assert str(chart.uuid) == chart_config["uuid"]
        new_chart_id = chart.id

        assert dashboard.dashboard_title == "Test dash"
        assert dashboard.description is None
        assert dashboard.css == ""
        assert dashboard.slug is None
        assert json.loads(dashboard.position_json) == {
            "CHART-SVAlICPOSJ": {
                "children": [],
                "id": "CHART-SVAlICPOSJ",
                "meta": {
                    "chartId": new_chart_id,
                    "height": 50,
                    "sliceName": "Number of California Births",
                    "uuid": "0c23747a-6528-4629-97bf-e4b78d3b9df1",
                    "width": 4,
                },
                "parents": ["ROOT_ID", "GRID_ID", "ROW-dP_CHaK2q"],
                "type": "CHART",
            },
            "DASHBOARD_VERSION_KEY": "v2",
            "GRID_ID": {
                "children": ["ROW-dP_CHaK2q"],
                "id": "GRID_ID",
                "parents": ["ROOT_ID"],
                "type": "GRID",
            },
            "HEADER_ID": {
                "id": "HEADER_ID",
                "meta": {"text": "Test dash"},
                "type": "HEADER",
            },
            "ROOT_ID": {"children": ["GRID_ID"], "id": "ROOT_ID", "type": "ROOT"},
            "ROW-dP_CHaK2q": {
                "children": ["CHART-SVAlICPOSJ"],
                "id": "ROW-dP_CHaK2q",
                "meta": {"0": "ROOT_ID", "background": "BACKGROUND_TRANSPARENT"},
                "parents": ["ROOT_ID", "GRID_ID"],
                "type": "ROW",
            },
        }
        assert json.loads(dashboard.json_metadata) == {
            "color_scheme": None,
            "default_filters": "{}",
            "expanded_slices": {str(new_chart_id): True},
            "filter_scopes": {
                str(new_chart_id): {
                    "region": {"scope": ["ROOT_ID"], "immune": [new_chart_id]}
                },
            },
            "import_time": 1604342885,
            "refresh_frequency": 0,
            "remote_id": 7,
            "timed_refresh_immune_slices": [new_chart_id],
        }

        dataset = chart.table
        assert str(dataset.uuid) == dataset_config["uuid"]

        database = dataset.database
        assert str(database.uuid) == database_config["uuid"]

        db.session.delete(dashboard)
        db.session.delete(chart)
        db.session.delete(dataset)
        db.session.delete(database)
        db.session.commit()

    def test_import_v1_dashboard_multiple(self):
        """Test that a dashboard can be imported multiple times"""
        num_dashboards = db.session.query(Dashboard).count()

        contents = {
            "metadata.yaml": yaml.safe_dump(dashboard_metadata_config),
            "databases/imported_database.yaml": yaml.safe_dump(database_config),
            "datasets/imported_dataset.yaml": yaml.safe_dump(dataset_config),
            "charts/imported_chart.yaml": yaml.safe_dump(chart_config),
            "dashboards/imported_dashboard.yaml": yaml.safe_dump(dashboard_config),
        }
        command = v1.ImportDashboardsCommand(contents, overwrite=True)
        command.run()
        command.run()

        new_num_dashboards = db.session.query(Dashboard).count()
        assert new_num_dashboards == num_dashboards + 1

        dashboard = (
            db.session.query(Dashboard).filter_by(uuid=dashboard_config["uuid"]).one()
        )
        chart = dashboard.slices[0]
        dataset = chart.table
        database = dataset.database

        db.session.delete(dashboard)
        db.session.delete(chart)
        db.session.delete(dataset)
        db.session.delete(database)
        db.session.commit()

    def test_import_v1_dashboard_validation(self):
        """Test different validations applied when importing a dashboard"""
        # metadata.yaml must be present
        contents = {
            "databases/imported_database.yaml": yaml.safe_dump(database_config),
            "datasets/imported_dataset.yaml": yaml.safe_dump(dataset_config),
            "charts/imported_chart.yaml": yaml.safe_dump(chart_config),
            "dashboards/imported_dashboard.yaml": yaml.safe_dump(dashboard_config),
        }
        command = v1.ImportDashboardsCommand(contents)
        with pytest.raises(IncorrectVersionError) as excinfo:
            command.run()
        assert str(excinfo.value) == "Missing metadata.yaml"

        # version should be 1.0.0
        contents["metadata.yaml"] = yaml.safe_dump(
            {
                "version": "2.0.0",
                "type": "Database",
                "timestamp": "2020-11-04T21:27:44.423819+00:00",
            }
        )
        command = v1.ImportDashboardsCommand(contents)
        with pytest.raises(IncorrectVersionError) as excinfo:
            command.run()
        assert str(excinfo.value) == "Must be equal to 1.0.0."

        # type should be Database
        contents["metadata.yaml"] = yaml.safe_dump(dataset_metadata_config)
        command = v1.ImportDashboardsCommand(contents)
        with pytest.raises(CommandInvalidError) as excinfo:
            command.run()
        assert str(excinfo.value) == "Error importing dashboard"
        assert excinfo.value.normalized_messages() == {
            "metadata.yaml": {"type": ["Must be equal to Dashboard."]}
        }

        # must also validate datasets
        broken_config = dataset_config.copy()
        del broken_config["table_name"]
        contents["metadata.yaml"] = yaml.safe_dump(dashboard_metadata_config)
        contents["datasets/imported_dataset.yaml"] = yaml.safe_dump(broken_config)
        command = v1.ImportDashboardsCommand(contents)
        with pytest.raises(CommandInvalidError) as excinfo:
            command.run()
        assert str(excinfo.value) == "Error importing dashboard"
        assert excinfo.value.normalized_messages() == {
            "datasets/imported_dataset.yaml": {
                "table_name": ["Missing data for required field."],
            }
        }