Skip to main content

No project description provided

Project description

Sqlalchemy-service

This is a library that simplifies working with database CRUD queries and connection management.

Features

  • A class to reduce the amount of code needed for database CRUD queries and connection management.

Installation

  • pip install sqlalchemy-service[postresql]
  • pip install sqlalchemy-service[mysql]
  • pip install sqlalchemy-service[postgresql,fastapi] for fastapi support(http exceptions and dependency injection)

Usage

  • Need environment set: POSTGRES_HOST, POSTGRES_DATABASE, POSTGRES_PASSWORD, POSTGRES_USER
import asyncio
from random import randint

from fastapi import Response
from pydantic import BaseModel
from sqlalchemy import ScalarResult
from sqlalchemy.orm import Mapped
from sqlalchemy.orm import mapped_column as column

from sqlalchemy_service import Base
from sqlalchemy_service import BaseService
from sqlalchemy_service.base_db.base import ServiceEngine
from sqlalchemy_service.base_db.db_configure import MySQLDBConfiguration


class User(Base):
    __tablename__ = "users"
    id: Mapped[int] = column(primary_key=True)
    name: Mapped[str]


class UserCreateSchema(BaseModel):
    name: str


class UserUpdateSchema(BaseModel):
    name: str | None = None


# You can manually set urls for engines, or use autodetect
engine_1 = ServiceEngine()
engine_2 = ServiceEngine(MySQLDBConfiguration().get_url())


class UserService[Table: User, int](BaseService):
    base_table = User
    engine = engine_1

    # Redefine BaseService.get_session to connect with 2 engines
    # Just don't rewrite it to connect with one engine
    async def get_session(self):
        if randint(0, 1):
            return engine_1
        return engine_2

    # Redefine BaseService.depend to use dependencies in your service.
    # Just don't rewrite it to use service without dependencies
    @classmethod
    async def depend(cls, response: Response = Response):
        async with cls(response) as service:
            yield service


    async def create(self, schema: UserCreateSchema) -> User:
        return await self._create(schema)

    async def list(self, page=None, count=None) -> ScalarResult[User]:
        return await self._get_list(page=page, count=count)

    async def get(self, user_id: int) -> User:
        """Return user. If user not found, throws 404 HTTPException"""
        return await self._get_one(id=user_id)

    async def update(self, user_id: int, schema: UserUpdateSchema) -> User:
        return await self._update(user_id, schema)

    async def delete(self, user_id: int):
        await self._delete(user_id)

    async def count(self) -> int:
        return await self._count()

    async def count_with_name_like(self, name: str) -> int:
        query = self._count_query()
        query = self._query_like_filter(query, name=name)
        return await self.session.scalar(query)


async def main():
    # Use alembic to create database schema
    async with UserService() as service:
        print(await service.create(UserCreateSchema(name="test")))


asyncio.run(main())

# or in fastapi apps

from fastapi import FastAPI
from fastapi import Depends


app = FastAPI()


@app.get('/users/{user_id}')
async def get_users(
        user_id: int,
        user_service: UserService = Depends(UserService.depend)
):
    return await user_service.get(user_id)


@app.post('/users')
async def create_user(
        schema: UserCreateSchema,
        user_service: UserService = Depends(UserService.depend)
):
    user = await user_service.create(schema)
    await user_service.refresh()  # Need to calculate user ID
    return user

Updates

1.0.7

  • We decide that POSTGRES_<config> is not deprecated and is used by postgres docker image.

1.0.5:

  • FastAPI depends support

1.0.0:

  • custom engine style
  • more use-ready commands

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sqlalchemy_service-1.0.8.tar.gz (9.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sqlalchemy_service-1.0.8-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file sqlalchemy_service-1.0.8.tar.gz.

File metadata

  • Download URL: sqlalchemy_service-1.0.8.tar.gz
  • Upload date:
  • Size: 9.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.13.2 Linux/6.13.5-200.fc41.x86_64

File hashes

Hashes for sqlalchemy_service-1.0.8.tar.gz
Algorithm Hash digest
SHA256 2c2fe0c32689e7fb11be6a2cae997ee87ed0da446020105debbbdb64e4861a99
MD5 8ad7c666b65440a2f5b5fcc278d79c03
BLAKE2b-256 1adc1162e9b7aed3d4c678f4502d7d9691623ae7997948cd6f82744d159d7ac4

See more details on using hashes here.

File details

Details for the file sqlalchemy_service-1.0.8-py3-none-any.whl.

File metadata

  • Download URL: sqlalchemy_service-1.0.8-py3-none-any.whl
  • Upload date:
  • Size: 11.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.0.1 CPython/3.13.2 Linux/6.13.5-200.fc41.x86_64

File hashes

Hashes for sqlalchemy_service-1.0.8-py3-none-any.whl
Algorithm Hash digest
SHA256 c292015394a547a1e0b4c777aa427db0711508528745fce41e751ca5e4e1e33e
MD5 ff2af3f49925b3f9760affa1459b2756
BLAKE2b-256 8c85db00a7b607815f74f2be3401d9c3faff2411f4127618528afc8766447805

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page