nim-censor-bot/src/nim_censor_bot.nim

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.} =
  var response = u.message.get
  if response.document.isSome:
    let filehash = generate_hash()
    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)