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SFTKit

A general purpose collection of base building blocks and utilities to make building python applications on the basis of postgresql (asyncpg) + fastapi a breeze.

Getting Started

To get started simply run

pip install sftkit

A basic server could look like this

import asyncio
from dataclasses import dataclass

from sftkit.http import Server, HTTPServerConfig
from fastapi import APIRouter


config = HTTPServerConfig(base_url="/api/v1", port=8074, host="127.0.0.1")

router = APIRouter(
    responses={404: {"description": "not found"}},
)

@router.get("/ping")
async def ping():
    return "pong"


@dataclass
class Context:
    config: HTTPServerConfig


class Api:
    def __init__(self, config: HTTPServerConfig = config):
        self.config = config
        self.server = Server(
            title="<your title>",
            config=config,
            license_name="<your license>",
            version="0.1.0"

        )
        self.server.add_router(router)

    async def run(self):
        context = Context(config=self.config)
        await self.server.run(context)

if __name__ == "__main__":
    server = Api()
    asyncio.run(server.run())

Copy the code to main.py and run the server using python main.py.

You can ping the server at http://127.0.0.1:8074/api/v1/ping or inspect the API specification at http://127.0.0.1:8074/api/v1/docs.

Usage

Dev CLI

Configure sftkit in your pyproject.toml

[tool.sftkit]
db_code_dir = "<path-to-your-sql-code-folder>"
db_migrations_dir = "<path-to-your-sql-data-migrations>"

Create new migrations via

sftkit create-migration <name>

Metadata

Release files for sftkit 0.4.3

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