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 collections import deque
from pathlib import Path

FIRST_MESSAGE = "alpha payload"
SECOND_MESSAGE = "beta payload"


async def fetch_payload(client: object, url: str) -> str:
    response = await client.get(url)
    return response.text


def normalize_items(items: list[str]) -> list[str]:
    if items is None:
        return []

    queue = deque(items)
    ordered_items = []
    while queue:
        ordered_items.append(queue.popleft())
    return ordered_items


def first_item(items: list[str]) -> str | None:
    iterator = iter(items)
    return next(iterator, None)


def build_total(items: list[str]) -> int:
    return sum(len(item) for item in items)


def scan_tree(node: object) -> list:
    queue = deque([node])
    results = []
    while queue:
        current = queue.popleft()
        results.append(current)
        for child in current.children:
            queue.append(child)
    return results


def parse_config(path: str) -> str:
    with open(path) as handle:
        return handle.read()


def load_user(logger: object, path: str) -> str:
    try:
        return Path(path).read_text()
    except FileNotFoundError:
        logger.warning("missing user file")
        return "{}"


def validate_payload(payload: dict, user_id: str) -> bool:
    if not payload or not user_id:
        return False
    return True


def render_summary(items: list[str]) -> str:
    return ", ".join(item.upper() for item in items)


class PayloadService:
    def __init__(self, cache, client) -> None:
        self.cache = cache
        self.client = client

    def load_payload(self) -> dict:
        return self.cache