from __future__ import annotations

import logging
import os

from helpers.data_source_fixture import DataSourceFixture

logger = logging.getLogger(__name__)


class SparkDataSourceFixture(DataSourceFixture):
    def __init__(self, test_data_source: str):
        super().__init__(test_data_source)

    def _build_configuration_dict(self, schema_name: str | None = None) -> dict:
        return {
            "data_source spark": {
                "type": "spark",
                "host": os.getenv("DATABRICKS_HOST"),
                "method": os.getenv("SPARK_METHOD"),
                "http_path": os.getenv("DATABRICKS_HTTP_PATH"),
                "token": os.getenv("DATABRICKS_TOKEN"),
                "database": os.getenv("DATABRICKS_DATABASE"),
            }
        }

    def _create_schema_if_not_exists_sql(self) -> str:
        return f"CREATE SCHEMA IF NOT EXISTS {self.schema_name}"

    def _use_schema_sql(self) -> str | None:
        return None

    def _drop_schema_if_exists_sql(self):
        return f"DROP SCHEMA IF EXISTS {self.schema_name} CASCADE"

1c6b11a4d7366b8f70243f766d3e2d028c3ddec2
<mask token>


class SparkDataSourceFixture(DataSourceFixture):
    <mask token>

    def _build_configuration_dict(self, schema_name: (str | None)=None) ->dict:
        return {'data_source spark': {'type': 'spark', 'host': os.getenv(
            'DATABRICKS_HOST'), 'method': os.getenv('SPARK_METHOD'),
            'http_path': os.getenv('DATABRICKS_HTTP_PATH'), 'token': os.
            getenv('DATABRICKS_TOKEN'), 'database': os.getenv(
            'DATABRICKS_DATABASE')}}
    <mask token>

    def _use_schema_sql(self) ->(str | None):
        return None
    <mask token>

<mask token>


class SparkDataSourceFixture(DataSourceFixture):

    def __init__(self, test_data_source: str):
        super().__init__(test_data_source)

    def _build_configuration_dict(self, schema_name: (str | None)=None) ->dict:
        return {'data_source spark': {'type': 'spark', 'host': os.getenv(
            'DATABRICKS_HOST'), 'method': os.getenv('SPARK_METHOD'),
            'http_path': os.getenv('DATABRICKS_HTTP_PATH'), 'token': os.
            getenv('DATABRICKS_TOKEN'), 'database': os.getenv(
            'DATABRICKS_DATABASE')}}

    def _create_schema_if_not_exists_sql(self) ->str:
        return f'CREATE SCHEMA IF NOT EXISTS {self.schema_name}'

    def _use_schema_sql(self) ->(str | None):
        return None
    <mask token>

<mask token>
logger = logging.getLogger(__name__)


class SparkDataSourceFixture(DataSourceFixture):

    def __init__(self, test_data_source: str):
        super().__init__(test_data_source)

    def _build_configuration_dict(self, schema_name: (str | None)=None) ->dict:
        return {'data_source spark': {'type': 'spark', 'host': os.getenv(
            'DATABRICKS_HOST'), 'method': os.getenv('SPARK_METHOD'),
            'http_path': os.getenv('DATABRICKS_HTTP_PATH'), 'token': os.
            getenv('DATABRICKS_TOKEN'), 'database': os.getenv(
            'DATABRICKS_DATABASE')}}

    def _create_schema_if_not_exists_sql(self) ->str:
        return f'CREATE SCHEMA IF NOT EXISTS {self.schema_name}'

    def _use_schema_sql(self) ->(str | None):
        return None

    def _drop_schema_if_exists_sql(self):
        return f'DROP SCHEMA IF EXISTS {self.schema_name} CASCADE'

from __future__ import annotations
import logging
import os
from helpers.data_source_fixture import DataSourceFixture
logger = logging.getLogger(__name__)


class SparkDataSourceFixture(DataSourceFixture):

    def __init__(self, test_data_source: str):
        super().__init__(test_data_source)

    def _build_configuration_dict(self, schema_name: (str | None)=None) ->dict:
        return {'data_source spark': {'type': 'spark', 'host': os.getenv(
            'DATABRICKS_HOST'), 'method': os.getenv('SPARK_METHOD'),
            'http_path': os.getenv('DATABRICKS_HTTP_PATH'), 'token': os.
            getenv('DATABRICKS_TOKEN'), 'database': os.getenv(
            'DATABRICKS_DATABASE')}}

    def _create_schema_if_not_exists_sql(self) ->str:
        return f'CREATE SCHEMA IF NOT EXISTS {self.schema_name}'

    def _use_schema_sql(self) ->(str | None):
        return None

    def _drop_schema_if_exists_sql(self):
        return f'DROP SCHEMA IF EXISTS {self.schema_name} CASCADE'

from __future__ import annotations

import logging
import os

from helpers.data_source_fixture import DataSourceFixture

logger = logging.getLogger(__name__)


class SparkDataSourceFixture(DataSourceFixture):
    def __init__(self, test_data_source: str):
        super().__init__(test_data_source)

    def _build_configuration_dict(self, schema_name: str | None = None) -> dict:
        return {
            "data_source spark": {
                "type": "spark",
                "host": os.getenv("DATABRICKS_HOST"),
                "method": os.getenv("SPARK_METHOD"),
                "http_path": os.getenv("DATABRICKS_HTTP_PATH"),
                "token": os.getenv("DATABRICKS_TOKEN"),
                "database": os.getenv("DATABRICKS_DATABASE"),
            }
        }

    def _create_schema_if_not_exists_sql(self) -> str:
        return f"CREATE SCHEMA IF NOT EXISTS {self.schema_name}"

    def _use_schema_sql(self) -> str | None:
        return None

    def _drop_schema_if_exists_sql(self):
        return f"DROP SCHEMA IF EXISTS {self.schema_name} CASCADE"
