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Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from decimal import Decimal
from typing import Any, Sequence, TypeVar
from fastapi.encoders import decimal_encoder
from msgspec import json
from sqlalchemy import Row, RowMapping
from sqlalchemy.orm import ColumnProperty, SynonymProperty, class_mapper
from starlette.responses import JSONResponse
RowData = Row | RowMapping | Any
R = TypeVar('R', bound=RowData)
def select_columns_serialize(row: R) -> dict:
"""
Serialize SQLAlchemy select table columns, does not contain relational columns
:param row:
:return:
"""
result = {}
for column in row.__table__.columns.keys():
v = getattr(row, column)
if isinstance(v, Decimal):
v = decimal_encoder(v)
result[column] = v
return result
def select_list_serialize(row: Sequence[R]) -> list:
"""
Serialize SQLAlchemy select list
:param row:
:return:
"""
result = [select_columns_serialize(_) for _ in row]
return result
def select_as_dict(row: R, use_alias: bool = False) -> dict:
"""
Converting SQLAlchemy select to dict, which can contain relational data,
depends on the properties of the select object itself
If set use_alias is True, the column name will be returned as alias,
If alias doesn't exist in columns, we don't recommend setting it to True
:param row:
:param use_alias:
:return:
"""
if not use_alias:
result = row.__dict__
if '_sa_instance_state' in result:
del result['_sa_instance_state']
else:
result = {}
mapper = class_mapper(row.__class__)
for prop in mapper.iterate_properties:
if isinstance(prop, (ColumnProperty, SynonymProperty)):
key = prop.key
result[key] = getattr(row, key)
return result
class MsgSpecJSONResponse(JSONResponse):
"""
JSON response using the high-performance msgspec library to serialize data to JSON.
"""
def render(self, content: Any) -> bytes:
return json.encode(content)