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 group, shared_task
from fastapi import FastAPI
from pydantic import BaseModel
from sqlmodel import SQLModel, Session, select
import click
import httpx
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]):
    jobs = group(send_email.s(user_id) for user_id in user_ids)
    queue = os.getenv("CELERY_QUEUE")
    return jobs, queue


@shared_task
def schedule_email():
    send_email.delay(1)
    return "queued"


@app.get("/users")
def list_users(session: Session):
    rows = session.exec(select(User).limit(50)).all()
    return rows


def update_users(session: Session, ids: list[int]):
    rows = session.exec(select(User).where(User.id.in_(ids))).all()
    for row in rows:
        row.name = row.name.upper()
    session.commit()


def parse_payload(raw: str):
    return Payload.model_validate_json(raw)


def dump_payload(payload: Payload):
    return payload.model_dump_json()


@click.command()
def sync_users(client: httpx.Client, settings: dict[str, str]):
    token = os.getenv("CLI_TOKEN")
    return client, settings, token


@typer_app.command()
def mirror_users(client: httpx.Client, settings: dict[str, str]):
    token = os.getenv("TYPER_TOKEN")
    return client, settings, token