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99 lines
3.7 KiB
Python
99 lines
3.7 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 datetime import datetime
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from typing import Any, Optional
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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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class FireboltEngineSpec(BaseEngineSpec):
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"""Engine spec for Firebolt"""
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engine = "firebolt"
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engine_name = "Firebolt"
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default_driver = "firebolt"
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metadata = {
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"description": (
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"Firebolt is a cloud data warehouse designed for "
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"high-performance analytics."
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),
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"logo": "firebolt.png",
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"homepage_url": "https://www.firebolt.io/",
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"categories": [
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DatabaseCategory.CLOUD_DATA_WAREHOUSES,
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DatabaseCategory.ANALYTICAL_DATABASES,
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DatabaseCategory.PROPRIETARY,
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],
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"pypi_packages": ["firebolt-sqlalchemy"],
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"connection_string": (
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"firebolt://{client_id}:{client_secret}@{database}/{engine_name}"
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"?account_name={account_name}"
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),
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"parameters": {
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"client_id": "Service account client ID",
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"client_secret": "Service account client secret",
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"database": "Database name",
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"engine_name": "Engine name",
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"account_name": "Account name",
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},
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"drivers": [
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{
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"name": "firebolt-sqlalchemy",
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"pypi_package": "firebolt-sqlalchemy",
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"connection_string": (
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"firebolt://{client_id}:{client_secret}@{database}/{engine_name}"
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"?account_name={account_name}"
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),
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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', CAST({col} AS TIMESTAMP))",
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TimeGrain.MINUTE: "date_trunc('minute', CAST({col} AS TIMESTAMP))",
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TimeGrain.HOUR: "date_trunc('hour', CAST({col} AS TIMESTAMP))",
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TimeGrain.DAY: "date_trunc('day', CAST({col} AS TIMESTAMP))",
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TimeGrain.WEEK: "date_trunc('week', CAST({col} AS TIMESTAMP))",
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TimeGrain.MONTH: "date_trunc('month', CAST({col} AS TIMESTAMP))",
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TimeGrain.QUARTER: "date_trunc('quarter', CAST({col} AS TIMESTAMP))",
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TimeGrain.YEAR: "date_trunc('year', CAST({col} AS TIMESTAMP))",
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}
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@classmethod
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def convert_dttm(
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cls, target_type: str, dttm: datetime, db_extra: Optional[dict[str, Any]] = None
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) -> Optional[str]:
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sqla_type = cls.get_sqla_column_type(target_type)
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if isinstance(sqla_type, types.Date):
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return f"CAST('{dttm.date().isoformat()}' AS DATE)"
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if isinstance(sqla_type, types.TIMESTAMP):
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return f"""CAST('{dttm.isoformat(timespec="seconds")}' AS TIMESTAMP)"""
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if isinstance(sqla_type, types.DateTime):
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return f"""CAST('{dttm.isoformat(timespec="seconds")}' AS DATETIME)"""
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return None
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@classmethod
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def epoch_to_dttm(cls) -> str:
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return "from_unixtime({col})"
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