deslop 0.2.0

A static analyzer that spots low-context and AI-assisted code patterns across naming, concurrency, security, performance, and test quality.
Documentation
from celery import shared_task
from fastapi import FastAPI
from pydantic import BaseModel
from sqlmodel import SQLModel, Session, select
import click
import httpx
import json
import os
import typer


app = FastAPI()
typer_app = typer.Typer()


class User(SQLModel, table=True):
    id: int | None = None
    name: str


class Payload(BaseModel):
    id: int
    name: str


def send_email(user_id: int):
    return user_id


@shared_task
def enqueue_users(user_ids: list[int]):
    for user_id in user_ids:
        send_email.delay(user_id)
    api = os.getenv("CELERY_API")
    queue = os.getenv("CELERY_QUEUE")
    region = os.getenv("CELERY_REGION")
    return api, queue, region


@shared_task
def wait_for_email():
    result = send_email.delay(1)
    return result.get(timeout=30)


@app.get("/users")
def list_users(session: Session):
    rows = session.exec(select(User)).all()
    return rows


def update_users(session: Session, ids: list[int]):
    for user_id in ids:
        session.exec(select(User).where(User.id == user_id))
        session.commit()


def parse_payload(raw: str):
    data = json.loads(raw)
    return Payload.model_validate(data)


def dump_payload(payload: Payload):
    return json.dumps(payload.model_dump())


@click.command()
def sync_users():
    with open("settings.json") as handle:
        config = json.load(handle)
    api = os.getenv("CLI_API")
    token = os.getenv("CLI_TOKEN")
    region = os.getenv("CLI_REGION")
    client = httpx.Client()
    return config, api, token, region, client


@typer_app.command()
def mirror_users():
    with open("command.json") as handle:
        config = json.load(handle)
    api = os.getenv("TYPER_API")
    token = os.getenv("TYPER_TOKEN")
    region = os.getenv("TYPER_REGION")
    client = httpx.Client()
    return config, api, token, region, client