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# This file is part of daf_butler. 

# 

# Developed for the LSST Data Management System. 

# This product includes software developed by the LSST Project 

# (http://www.lsst.org). 

# See the COPYRIGHT file at the top-level directory of this distribution 

# for details of code ownership. 

# 

# This program is free software: you can redistribute it and/or modify 

# it under the terms of the GNU General Public License as published by 

# the Free Software Foundation, either version 3 of the License, or 

# (at your option) any later version. 

# 

# This program is distributed in the hope that it will be useful, 

# but WITHOUT ANY WARRANTY; without even the implied warranty of 

# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

# GNU General Public License for more details. 

# 

# You should have received a copy of the GNU General Public License 

# along with this program. If not, see <http://www.gnu.org/licenses/>. 

from __future__ import annotations 

 

__all__ = ["CachingDimensionRecordStorage"] 

 

from typing import Optional 

 

import sqlalchemy 

 

from ...core import DataCoordinate, DimensionElement, DimensionRecord, Timespan 

from ...core.utils import NamedKeyDict 

from ..interfaces import Database, DimensionRecordStorage, StaticTablesContext 

from ..queries import QueryBuilder 

 

 

class CachingDimensionRecordStorage(DimensionRecordStorage): 

"""A record storage implementation that adds caching to some other nested 

storage implementation. 

 

Parameters 

---------- 

nested : `DimensionRecordStorage` 

The other storage to cache fetches from and to delegate all other 

operations to. 

""" 

def __init__(self, nested: DimensionRecordStorage): 

self._nested = nested 

self._cache = {} 

 

@classmethod 

def initialize(cls, db: Database, element: DimensionElement, *, 

context: Optional[StaticTablesContext] = None) -> DimensionRecordStorage: 

# Docstring inherited from DimensionRecordStorage. 

NestedClass = DimensionRecordStorage.getDefaultImplementation(element, ignoreCached=True) 

nested = NestedClass.initialize(db, element, context=context) 

return cls(nested) 

 

@property 

def element(self) -> DimensionElement: 

# Docstring inherited from DimensionRecordStorage.element. 

return self._nested.element 

 

def clearCaches(self): 

# Docstring inherited from DimensionRecordStorage.clearCaches. 

self._cache.clear() 

self._nested.clearCaches() 

 

def join( 

self, 

builder: QueryBuilder, *, 

regions: Optional[NamedKeyDict[DimensionElement, sqlalchemy.sql.ColumnElement]] = None, 

timespans: Optional[NamedKeyDict[DimensionElement, Timespan[sqlalchemy.sql.ColumnElement]]] = None, 

): 

# Docstring inherited from DimensionRecordStorage. 

self._nested.join(builder, regions=regions, timespans=timespans) 

 

def insert(self, *records: DimensionRecord): 

# Docstring inherited from DimensionRecordStorage.insert. 

self._nested.insert(*records) 

for record in records: 

self._cache[record.dataId] = record 

 

def fetch(self, dataId: DataCoordinate) -> Optional[DimensionRecord]: 

# Docstring inherited from DimensionRecordStorage.fetch. 

dataId = DataCoordinate.standardize(dataId, graph=self.element.graph) 

record = self._cache.get(dataId) 

if record is None: 

record = self._nested.fetch(dataId) 

self._cache[dataId] = record 

return record