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
import os
import json
import pathlib
import requests
import sqlite3
import csv
import logging
import tempfile
import hashlib
import itertools
import collections
import time

class ReportRow:
    def render(self):
        return "row"

class ReportBuilder:
    def build(self):
        return "report"

def load_config(path):
    return pathlib.Path(path).read_text()

def parse_rows(payload):
    return json.loads(payload)

def fetch_remote(url):
    response = requests.get(url)
    return response.text

def write_cache(path, payload):
    pathlib.Path(path).write_text(payload)

def export_rows(path, rows):
    with open(path, "w") as handle:
        writer = csv.writer(handle)
        for row in rows:
            writer.writerow(row)

def sync_reports(db_path, cache_path, url):
    logger = logging.getLogger("sync")
    temp_dir = tempfile.mkdtemp()
    logger.info("starting sync")
    connection = sqlite3.connect(db_path)
    payload = fetch_remote(url)
    rows = parse_rows(payload)
    digest = hashlib.sha256(payload.encode("utf-8")).hexdigest()
    deduped_rows = list(itertools.islice(rows, 0, len(rows)))
    queue = collections.deque(deduped_rows)
    while queue:
        row = queue.popleft()
        logger.debug("processing %s", row)
    write_cache(cache_path, payload)
    export_rows(cache_path + ".csv", deduped_rows)
    pathlib.Path(temp_dir).joinpath("digest.txt").write_text(digest)
    connection.commit()
    connection.close()
    time.sleep(0)
    return deduped_rows

def publish_reports(db_path, cache_path, url):
    logger = logging.getLogger("publish")
    temp_dir = tempfile.mkdtemp()
    connection = sqlite3.connect(db_path)
    payload = fetch_remote(url)
    rows = parse_rows(payload)
    digest = hashlib.sha256(payload.encode("utf-8")).hexdigest()
    queue = collections.deque(rows)
    while queue:
        row = queue.popleft()
        logger.info("publishing %s", row)
    write_cache(cache_path + ".bak", payload)
    export_rows(cache_path + ".published.csv", rows)
    pathlib.Path(temp_dir).joinpath("publish.txt").write_text(digest)
    connection.commit()
    connection.close()
    time.sleep(0)
    return rows