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import pytest

from superset import db
from superset.charts.schemas import ChartDataQueryContextSchema
from superset.common.query_context import QueryContext
from superset.common.query_object import QueryObject
from superset.connectors.connector_registry import ConnectorRegistry
from superset.extensions import cache_manager
from superset.models.cache import CacheKey
from superset.utils.core import (
    AdhocMetricExpressionType,
    ChartDataResultFormat,
    ChartDataResultType,
    TimeRangeEndpoint,
)
from tests.base_tests import SupersetTestCase
from tests.fixtures.birth_names_dashboard import load_birth_names_dashboard_with_slices
from tests.fixtures.query_context import get_query_context


class TestQueryContext(SupersetTestCase):
    def test_schema_deserialization(self):
        """
        Ensure that the deserialized QueryContext contains all required fields.
        """

        payload = get_query_context("birth_names", add_postprocessing_operations=True)
        query_context = ChartDataQueryContextSchema().load(payload)
        self.assertEqual(len(query_context.queries), len(payload["queries"]))

        for query_idx, query in enumerate(query_context.queries):
            payload_query = payload["queries"][query_idx]

            # check basic properies
            self.assertEqual(query.extras, payload_query["extras"])
            self.assertEqual(query.filter, payload_query["filters"])
            self.assertEqual(query.groupby, payload_query["groupby"])

            # metrics are mutated during creation
            for metric_idx, metric in enumerate(query.metrics):
                payload_metric = payload_query["metrics"][metric_idx]
                payload_metric = (
                    payload_metric
                    if "expressionType" in payload_metric
                    else payload_metric["label"]
                )
                self.assertEqual(metric, payload_metric)

            self.assertEqual(query.orderby, payload_query["orderby"])
            self.assertEqual(query.time_range, payload_query["time_range"])

            # check post processing operation properties
            for post_proc_idx, post_proc in enumerate(query.post_processing):
                payload_post_proc = payload_query["post_processing"][post_proc_idx]
                self.assertEqual(post_proc["operation"], payload_post_proc["operation"])
                self.assertEqual(post_proc["options"], payload_post_proc["options"])

    def test_cache(self):
        table_name = "birth_names"
        table = self.get_table_by_name(table_name)
        payload = get_query_context(table.name, table.id)
        payload["force"] = True

        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        query_cache_key = query_context.query_cache_key(query_object)

        response = query_context.get_payload(cache_query_context=True)
        cache_key = response["cache_key"]
        assert cache_key is not None

        cached = cache_manager.cache.get(cache_key)
        assert cached is not None

        rehydrated_qc = ChartDataQueryContextSchema().load(cached["data"])
        rehydrated_qo = rehydrated_qc.queries[0]
        rehydrated_query_cache_key = rehydrated_qc.query_cache_key(rehydrated_qo)

        self.assertEqual(rehydrated_qc.datasource, query_context.datasource)
        self.assertEqual(len(rehydrated_qc.queries), 1)
        self.assertEqual(query_cache_key, rehydrated_query_cache_key)
        self.assertEqual(rehydrated_qc.result_type, query_context.result_type)
        self.assertEqual(rehydrated_qc.result_format, query_context.result_format)
        self.assertFalse(rehydrated_qc.force)

    def test_query_cache_key_changes_when_datasource_is_updated(self):
        self.login(username="admin")
        payload = get_query_context("birth_names")

        # construct baseline query_cache_key
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        cache_key_original = query_context.query_cache_key(query_object)

        # make temporary change and revert it to refresh the changed_on property
        datasource = ConnectorRegistry.get_datasource(
            datasource_type=payload["datasource"]["type"],
            datasource_id=payload["datasource"]["id"],
            session=db.session,
        )
        description_original = datasource.description
        datasource.description = "temporary description"
        db.session.commit()
        datasource.description = description_original
        db.session.commit()

        # create new QueryContext with unchanged attributes, extract new query_cache_key
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        cache_key_new = query_context.query_cache_key(query_object)

        # the new cache_key should be different due to updated datasource
        self.assertNotEqual(cache_key_original, cache_key_new)

    def test_query_cache_key_does_not_change_for_non_existent_or_null(self):
        self.login(username="admin")
        payload = get_query_context("birth_names", add_postprocessing_operations=True)
        del payload["queries"][0]["granularity"]

        # construct baseline query_cache_key from query_context with post processing operation
        query_context: QueryContext = ChartDataQueryContextSchema().load(payload)
        query_object: QueryObject = query_context.queries[0]
        cache_key_original = query_context.query_cache_key(query_object)

        payload["queries"][0]["granularity"] = None
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]

        assert query_context.query_cache_key(query_object) == cache_key_original

    def test_query_cache_key_changes_when_post_processing_is_updated(self):
        self.login(username="admin")
        payload = get_query_context("birth_names", add_postprocessing_operations=True)

        # construct baseline query_cache_key from query_context with post processing operation
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        cache_key_original = query_context.query_cache_key(query_object)

        # ensure added None post_processing operation doesn't change query_cache_key
        payload["queries"][0]["post_processing"].append(None)
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        cache_key = query_context.query_cache_key(query_object)
        self.assertEqual(cache_key_original, cache_key)

        # ensure query without post processing operation is different
        payload["queries"][0].pop("post_processing")
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        cache_key = query_context.query_cache_key(query_object)
        self.assertNotEqual(cache_key_original, cache_key)

    def test_query_context_time_range_endpoints(self):
        """
        Ensure that time_range_endpoints are populated automatically when missing
        from the payload.
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        del payload["queries"][0]["extras"]["time_range_endpoints"]
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        extras = query_object.to_dict()["extras"]
        assert "time_range_endpoints" in extras
        self.assertEqual(
            extras["time_range_endpoints"],
            (TimeRangeEndpoint.INCLUSIVE, TimeRangeEndpoint.EXCLUSIVE),
        )

    def test_handle_metrics_field(self):
        """
        Should support both predefined and adhoc metrics.
        """
        self.login(username="admin")
        adhoc_metric = {
            "expressionType": "SIMPLE",
            "column": {"column_name": "num_boys", "type": "BIGINT(20)"},
            "aggregate": "SUM",
            "label": "Boys",
            "optionName": "metric_11",
        }
        payload = get_query_context("birth_names")
        payload["queries"][0]["metrics"] = ["sum__num", {"label": "abc"}, adhoc_metric]
        query_context = ChartDataQueryContextSchema().load(payload)
        query_object = query_context.queries[0]
        self.assertEqual(query_object.metrics, ["sum__num", "abc", adhoc_metric])

    def test_convert_deprecated_fields(self):
        """
        Ensure that deprecated fields are converted correctly
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["queries"][0]["granularity_sqla"] = "timecol"
        payload["queries"][0]["having_filters"] = [{"col": "a", "op": "==", "val": "b"}]
        query_context = ChartDataQueryContextSchema().load(payload)
        self.assertEqual(len(query_context.queries), 1)
        query_object = query_context.queries[0]
        self.assertEqual(query_object.granularity, "timecol")
        self.assertIn("having_druid", query_object.extras)

    @pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
    def test_csv_response_format(self):
        """
        Ensure that CSV result format works
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["result_format"] = ChartDataResultFormat.CSV.value
        payload["queries"][0]["row_limit"] = 10
        query_context = ChartDataQueryContextSchema().load(payload)
        responses = query_context.get_payload()
        self.assertEqual(len(responses), 1)
        data = responses["queries"][0]["data"]
        self.assertIn("name,sum__num\n", data)
        self.assertEqual(len(data.split("\n")), 12)

    def test_sql_injection_via_groupby(self):
        """
        Ensure that calling invalid columns names in groupby are caught
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["queries"][0]["groupby"] = ["currentDatabase()"]
        query_context = ChartDataQueryContextSchema().load(payload)
        query_payload = query_context.get_payload()
        assert query_payload["queries"][0].get("error") is not None

    def test_sql_injection_via_columns(self):
        """
        Ensure that calling invalid column names in columns are caught
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["queries"][0]["groupby"] = []
        payload["queries"][0]["metrics"] = []
        payload["queries"][0]["columns"] = ["*, 'extra'"]
        query_context = ChartDataQueryContextSchema().load(payload)
        query_payload = query_context.get_payload()
        assert query_payload["queries"][0].get("error") is not None

    def test_sql_injection_via_metrics(self):
        """
        Ensure that calling invalid column names in filters are caught
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["queries"][0]["groupby"] = ["name"]
        payload["queries"][0]["metrics"] = [
            {
                "expressionType": AdhocMetricExpressionType.SIMPLE.value,
                "column": {"column_name": "invalid_col"},
                "aggregate": "SUM",
                "label": "My Simple Label",
            }
        ]
        query_context = ChartDataQueryContextSchema().load(payload)
        query_payload = query_context.get_payload()
        assert query_payload["queries"][0].get("error") is not None

    @pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
    def test_samples_response_type(self):
        """
        Ensure that samples result type works
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["result_type"] = ChartDataResultType.SAMPLES.value
        payload["queries"][0]["row_limit"] = 5
        query_context = ChartDataQueryContextSchema().load(payload)
        responses = query_context.get_payload()
        self.assertEqual(len(responses), 1)
        data = responses["queries"][0]["data"]
        self.assertIsInstance(data, list)
        self.assertEqual(len(data), 5)
        self.assertNotIn("sum__num", data[0])

    @pytest.mark.usefixtures("load_birth_names_dashboard_with_slices")
    def test_query_response_type(self):
        """
        Ensure that query result type works
        """
        self.login(username="admin")
        payload = get_query_context("birth_names")
        payload["result_type"] = ChartDataResultType.QUERY.value
        query_context = ChartDataQueryContextSchema().load(payload)
        responses = query_context.get_payload()
        self.assertEqual(len(responses), 1)
        response = responses["queries"][0]
        self.assertEqual(len(response), 2)
        self.assertEqual(response["language"], "sql")
        self.assertIn("SELECT", response["query"])

    def test_query_object_unknown_fields(self):
        """
        Ensure that query objects with unknown fields don't raise an Exception and
        have an identical cache key as one without the unknown field
        """
        self.maxDiff = None
        self.login(username="admin")
        payload = get_query_context("birth_names")
        query_context = ChartDataQueryContextSchema().load(payload)
        responses = query_context.get_payload()
        orig_cache_key = responses["queries"][0]["cache_key"]
        payload["queries"][0]["foo"] = "bar"
        query_context = ChartDataQueryContextSchema().load(payload)
        responses = query_context.get_payload()
        new_cache_key = responses["queries"][0]["cache_key"]
        self.assertEqual(orig_cache_key, new_cache_key)