Files
2024-01-18 19:27:41 +08:00

69 lines
1.6 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from decimal import Decimal
from typing import Any, Sequence, TypeVar
import msgspec
from asgiref.sync import sync_to_async
from sqlalchemy import Row, RowMapping
from starlette.responses import JSONResponse
RowData = Row | RowMapping | Any
R = TypeVar('R', bound=RowData)
@sync_to_async
def select_columns_serialize(row: R) -> dict:
"""
Serialize SQLAlchemy select table columns, does not contain relational columns
:param row:
:return:
"""
obj_dict = {}
for column in row.__table__.columns.keys():
val = getattr(row, column)
if isinstance(val, Decimal):
if val % 1 == 0:
val = int(val)
val = float(val)
obj_dict[column] = val
return obj_dict
async def select_list_serialize(row: Sequence[R]) -> list:
"""
Serialize SQLAlchemy select list
:param row:
:return:
"""
ret_list = [await select_columns_serialize(_) for _ in row]
return ret_list
@sync_to_async
def select_as_dict(row: R) -> dict:
"""
Converting SQLAlchemy select to dict, which can contain relational data,
depends on the properties of the select object itself
:param row:
:return:
"""
obj_dict = row.__dict__
if '_sa_instance_state' in obj_dict:
del obj_dict['_sa_instance_state']
return obj_dict
class MsgSpecJSONResponse(JSONResponse):
"""
JSON response using the high-performance msgspec library to serialize data to JSON.
"""
def render(self, content: Any) -> bytes:
return msgspec.json.encode(content)