dantetemplar

Async alembic configuration

Features

Database connection from settings.yaml

You don't need to change alembic.ini to set up a database connection. Alembic will derive database connection uri from settings.yaml (or any yaml which you specify in SETTINGS_PATH environment variable).

Example of settings.yaml:

dantetemplar

Aiogram 3 log messages and handlers

Warning

Tested on aiogram=3.3.0, code may failed with another version as it uses tricky things

Features

Automatically log every action from user

Each user action will be displayed in a log stream with the appropriate type (Message, CallbackQuery and so on).

dantetemplar

"""
Check Telegram WebAppData and LoginWidgetData in Python with FastAPI.

Source: https://gist.github.com/dantetemplar/68e09e3674bf6ce72e23b89b2091d159
License: MIT License
Author: Ruslan Belkov
"""

import hashlib
import hmac

dantetemplar

void (async () => {
    // ---------- helpers ----------
    const parseNumber = (text) => {
        if (!text) return NaN;
        text = text.replace(/\u00a0/g, " ");
        const m = text.match(/(\d+[.,\s]?\d*)/);
        if (!m) return NaN;
        return Number(m[1].replace(",", ".").replace(" ", ""));
    };

dantetemplar

Project: OrcaSlicer HTTP API Wrapper

Contact: https://t.me/dantetemplar

Background

We need a way to slice 3D models programmatically from a Python backend, without any manual GUI interaction. Initially this was attempted with CuraEngine, but in practice it turned out to be hard to configure, debug, and run reliably in a headless environment.

OrcaSlicer, on the other hand, provides a modern slicing pipeline, good default profiles, and an active community. However, it is primarily a desktop GUI tool. The goal of this project is to wrap OrcaSlicer into a small, well-documented HTTP service that can be called from other systems, especially Python-based backends.

dantetemplar

"""Auto-crop scanned PDF documents by detecting content boundaries."""

import argparse
import io
import sys
import time
from pathlib import Path

import cv2
import numpy as np