# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not use this file except in compliance # with the License. You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import re from datetime import datetime from typing import Any, Dict, List, Optional, Pattern, Tuple, TYPE_CHECKING from flask_babel import gettext as __ from sqlalchemy.engine.reflection import Inspector from superset.db_engine_specs.base import BaseEngineSpec from superset.errors import SupersetErrorType from superset.utils import core as utils if TYPE_CHECKING: # prevent circular imports from superset.models.core import Database COLUMN_DOES_NOT_EXIST_REGEX = re.compile("no such column: (?P.+)") class SqliteEngineSpec(BaseEngineSpec): engine = "sqlite" engine_name = "SQLite" _time_grain_expressions = { None: "{col}", "PT1S": "DATETIME(STRFTIME('%Y-%m-%dT%H:%M:%S', {col}))", "PT1M": "DATETIME(STRFTIME('%Y-%m-%dT%H:%M:00', {col}))", "PT1H": "DATETIME(STRFTIME('%Y-%m-%dT%H:00:00', {col}))", "P1D": "DATE({col})", "P1W": "DATE({col}, -strftime('%w', {col}) || ' days')", "P1M": "DATE({col}, -strftime('%d', {col}) || ' days', '+1 day')", "P3M": ( "DATETIME(STRFTIME('%Y-', {col}) || " # year "SUBSTR('00' || " # pad with zeros to 2 chars "((CAST(STRFTIME('%m', {col}) AS INTEGER)) - " # month as integer "(((CAST(STRFTIME('%m', {col}) AS INTEGER)) - 1) % 3)), " # month in quarter "-2) || " # close pad "'-01T00:00:00')" ), "P1Y": "DATETIME(STRFTIME('%Y-01-01T00:00:00', {col}))", "P1W/1970-01-03T00:00:00Z": "DATE({col}, 'weekday 6')", "1969-12-28T00:00:00Z/P1W": "DATE({col}, 'weekday 0', '-7 days')", } custom_errors: Dict[Pattern[str], Tuple[str, SupersetErrorType, Dict[str, Any]]] = { COLUMN_DOES_NOT_EXIST_REGEX: ( __('We can\'t seem to resolve the column "%(column_name)s"'), SupersetErrorType.COLUMN_DOES_NOT_EXIST_ERROR, {}, ), } @classmethod def epoch_to_dttm(cls) -> str: return "datetime({col}, 'unixepoch')" @classmethod def get_all_datasource_names( cls, database: "Database", datasource_type: str ) -> List[utils.DatasourceName]: schemas = database.get_all_schema_names( cache=database.schema_cache_enabled, cache_timeout=database.schema_cache_timeout, force=True, ) schema = schemas[0] if datasource_type == "table": return database.get_all_table_names_in_schema( schema=schema, force=True, cache=database.table_cache_enabled, cache_timeout=database.table_cache_timeout, ) if datasource_type == "view": return database.get_all_view_names_in_schema( schema=schema, force=True, cache=database.table_cache_enabled, cache_timeout=database.table_cache_timeout, ) raise Exception(f"Unsupported datasource_type: {datasource_type}") @classmethod def convert_dttm( cls, target_type: str, dttm: datetime, db_extra: Optional[Dict[str, Any]] = None ) -> Optional[str]: tt = target_type.upper() if tt in (utils.TemporalType.TEXT, utils.TemporalType.DATETIME): return f"""'{dttm.isoformat(sep=" ", timespec="microseconds")}'""" return None @classmethod def get_table_names( cls, database: "Database", inspector: Inspector, schema: Optional[str] ) -> List[str]: """Need to disregard the schema for Sqlite""" return sorted(inspector.get_table_names())