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90 lines
3.0 KiB
Python
90 lines
3.0 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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from __future__ import annotations
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import re
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from datetime import datetime
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from re import Pattern
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from typing import Any, TYPE_CHECKING
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from flask_babel import gettext as __
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from sqlalchemy import types
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from sqlalchemy.engine.reflection import Inspector
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from superset.constants import TimeGrain
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from superset.db_engine_specs.base import BaseEngineSpec
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from superset.errors import SupersetErrorType
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if TYPE_CHECKING:
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# prevent circular imports
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from superset.models.core import Database
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COLUMN_DOES_NOT_EXIST_REGEX = re.compile("no such column: (?P<column_name>.+)")
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class DuckDBEngineSpec(BaseEngineSpec):
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engine = "duckdb"
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engine_name = "DuckDB"
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_time_grain_expressions = {
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None: "{col}",
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TimeGrain.SECOND: "DATE_TRUNC('second', {col})",
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TimeGrain.MINUTE: "DATE_TRUNC('minute', {col})",
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TimeGrain.HOUR: "DATE_TRUNC('hour', {col})",
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TimeGrain.DAY: "DATE_TRUNC('day', {col})",
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TimeGrain.WEEK: "DATE_TRUNC('week', {col})",
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TimeGrain.MONTH: "DATE_TRUNC('month', {col})",
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TimeGrain.QUARTER: "DATE_TRUNC('quarter', {col})",
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TimeGrain.YEAR: "DATE_TRUNC('year', {col})",
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}
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custom_errors: dict[Pattern[str], tuple[str, SupersetErrorType, dict[str, Any]]] = {
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COLUMN_DOES_NOT_EXIST_REGEX: (
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__('We can\'t seem to resolve the column "%(column_name)s"'),
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SupersetErrorType.COLUMN_DOES_NOT_EXIST_ERROR,
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{},
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),
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}
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return "datetime({col}, 'unixepoch')"
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@classmethod
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def convert_dttm(
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cls, target_type: str, dttm: datetime, db_extra: dict[str, Any] | None = None
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) -> str | None:
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sqla_type = cls.get_sqla_column_type(target_type)
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if isinstance(sqla_type, (types.String, types.DateTime)):
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return f"""'{dttm.isoformat(sep=" ", timespec="microseconds")}'"""
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return None
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@classmethod
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def get_table_names(
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cls, database: Database, inspector: Inspector, schema: str | None
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) -> set[str]:
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return set(inspector.get_table_names(schema))
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class MotherDuckEngineSpec(DuckDBEngineSpec):
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engine = "duckdb"
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engine_name = "MotherDuck"
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sqlalchemy_uri_placeholder = "duckdb:///md:{SERVICE_TOKEN}@{database_name}"
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