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93 lines
3.1 KiB
Python
93 lines
3.1 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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from datetime import datetime
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from typing import Any, TYPE_CHECKING
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from sqlalchemy import types
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from superset.constants import TimeGrain
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from superset.db_engine_specs.base import BaseEngineSpec, DatabaseCategory
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if TYPE_CHECKING:
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from superset.connectors.sqla.models import TableColumn
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class CrateEngineSpec(BaseEngineSpec):
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engine = "crate"
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engine_name = "CrateDB"
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metadata = {
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"description": (
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"CrateDB is a distributed SQL database for machine data and IoT workloads."
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),
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"logo": "cratedb.svg",
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"homepage_url": "https://crate.io/",
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"categories": [DatabaseCategory.TIME_SERIES, DatabaseCategory.OPEN_SOURCE],
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"pypi_packages": ["crate", "sqlalchemy-cratedb"],
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"connection_string": "crate://{host}:{port}",
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"default_port": 4200,
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"parameters": {
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"host": "CrateDB host",
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"port": "CrateDB HTTP port (default 4200)",
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},
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"drivers": [
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{
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"name": "crate",
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"pypi_package": "crate[sqlalchemy]",
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"connection_string": "crate://{host}:{port}",
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"is_recommended": True,
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},
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],
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}
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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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@classmethod
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def epoch_to_dttm(cls) -> str:
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return "{col} * 1000"
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@classmethod
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def epoch_ms_to_dttm(cls) -> str:
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return "{col}"
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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.TIMESTAMP):
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return f"CAST('{dttm.isoformat()}' AS TIMESTAMP)"
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return None
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@classmethod
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def alter_new_orm_column(cls, orm_col: TableColumn) -> None:
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if orm_col.type == "TIMESTAMP":
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orm_col.python_date_format = "epoch_ms"
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