import telebot, std/[asyncdispatch, logging, options, strutils, random, with, os], norm/[model, sqlite] type CensoredData* = ref object of Model ftype*: string fhash*: string fileid*: string caption*: string func NewCensoredData*(ftype = ""; fhash = ""; fileid = ""; caption = ""): CensoredData = CensoredData(ftype: ftype, fhash: fhash, fileid: fileid, caption: caption) let dbConn* = sqlite.open("censordata.db", "", "", "") dbConn.createTables(NewCensoredData()) var L = newConsoleLogger(fmtStr="$levelname, [$time] ") addHandler(L) proc generate_hash(): string= result = newString(7) const charset = {'a' .. 'z', 'A' .. 'Z', '0' .. '9'} for i in 0..6: result[i] = sample(charset) return result const API_KEY = getEnv("TELEGRAM_TOKEN") proc updateHandler(b: Telebot, u: Update): Future[bool] {.async, gcsafe.} = let response = u.message.get if response.text.isSome: let message = response.text.get if message.contains("/start"): let deeplink = message.split(" ") var fileid = "" let filehash = generate_hash() if response.document.isSome: var censordoc = NewCensoredData("document", filehash, response.document.get.fileId, "") with dbConn: insert censordoc if response.video.isSome: let filehash = generate_hash() var censorvid = NewCensoredData("video", filehash, response.video.get.fileId, "") with dbConn: insert censorvid if response.videoNote.isSome: let filehash = generate_hash() var censorvidnote = NewCensoredData("videonote", filehash, response.videoNote.get.fileId, "") with dbConn: insert censorvidnote if response.animation.isSome: let filehash = generate_hash() var censoranimation = NewCensoredData("animation", filehash, response.animation.get.fileId, "") with dbConn: insert censoranimation if response.photo.isSome: let filehash = generate_hash() var censorphoto = NewCensoredData("photo", filehash, response.photo.get[0].fileId, "") with dbConn: insert censorphoto let bot = newTeleBot(API_KEY) bot.onUpdate(updateHandler) bot.poll(timeout=300)