Rust fortunto2

from https://chatgpt.com/g/g-VJkoWzcmd-srt2edl-summarizer

This GPT processes SRT or text files with timecodes, specifically from YouTube videos, to create an Edit Decision List (EDL) with summarized highlight ideas. The goal is to scan through timestamps, generate summaries of the segments, and structure the content in an EDL format that is suitable for post-production use. It can extract the most relevant information from each clip and format it into a cohesive timeline, including clip details, highlights, and timestamps, ensuring an organized editing flow.

EDL (Edit Decision List) Generation Rules

Overview: An Edit Decision List (EDL) is used to describe how video clips are edited and compiled into a final sequence. It specifies which portions of a source video are included in the edit, their start and end times, and where they appear in the final timeline.

Each line in an EDL entry includes:

Clip Number: Identifies the sequence of clips in the final edit.

	EXCLUDE_LIST=(
	"/.venv/"
	"*/.venv"
	"/.next/"
	"*/.next"
	"/node_modules/"
	"*/node_modules"
	"/.yarn/"
	"*/.yarn"
	"/.docker/"

	version: '3.8'

	services:
	n8n:
	image: docker.n8n.io/n8nio/n8n
	container_name: n8n
	restart: always
	# Локальный доступ к UI (опционально)
	ports:
	- "127.0.0.1:5678:5678"

	version: '3.8'

	services:
	agent-zero-run:
	image: agent0ai/agent-zero:latest
	container_name: agent-zero-run
	ports:
	- "50001:80"
	- "3003:3000"
	env_file:

	################################################################################
	# Dockerfile that builds 'yanwk/comfyui-boot:cu124-megapak'
	# A big all-in-one package with many custom nodes.
	# Using CUDA 12.4, Python 3.12, GCC 13.
	# The container will be running in root (easy for rootless deploy).
	################################################################################

	FROM docker.io/opensuse/tumbleweed:latest

	LABEL maintainer="YAN Wenkun <[email protected]>"

	from telethon import TelegramClient
	from telethon.tl.functions.messages import GetHistoryRequest
	from datetime import datetime, timedelta, timezone
	import asyncio

	# Replace with your own API_ID and API_HASH
	API_ID = '****'
	API_HASH = '****'
	CHANNEL_USERNAME = '****' # Example: '@channel_name'

	{% load static %}
	<!doctype html>
	<html lang="en">
	<head>
	<title>Markers Map</title>
	<meta name="viewport" content="width=device-width, initial-scale=1.0">
	<link rel="stylesheet" type="text/css" href="{% static 'map.css' %}">
	<link rel="stylesheet" type="text/css" href="https://unpkg.com/[email protected]/dist/leaflet.css">
	<script src="https://code.jquery.com/jquery-3.6.0.min.js" integrity="sha256-/xUj+3OJU5yExlq6GSYGSHk7tPXikynS7ogEvDej/m4=" crossorigin="anonymous"></script>
	<script src="https://unpkg.com/[email protected]/dist/leaflet.js"></script>

	## @section Global parameters
	## Global Docker image parameters
	## Please, note that this will override the image parameters, including dependencies, configured to use the global value
	## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass

	## @param global.imageRegistry Global Docker image registry
	## @param global.imagePullSecrets Global Docker registry secret names as an array
	## @param global.storageClass Global storage class for dynamic provisioning
	##
	global:

	mongodump --host localhost --port 27017 --username root --password XXXX --authenticationDatabase admin -d XXXX --gzip --archive > dump_`date "+%Y-%m-%d"`.gz
	mongorestore --archive="mongodump-test-db" --nsFrom='test.' --nsTo='examples.'

	#### build mongo dumper
	git clone https://github.com/mongodb/mongo-tools
	cd mongo-tools
	sudo apt-get install -y libkrb5-dev
	./make build -tools=mongodump,mongorestore

	.PHONY: help


	help:
	@grep -E '^[a-zA-Z_-]+:.?## .$$' $(MAKEFILE_LIST) \| sort \| awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
	.DEFAULT_GOAL := help

	vpn: ## Запускает
	@wg-quick up /etc/wireguard/wg0.conf