{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Mastodon bot Example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This Mastodon bot example is part of the module *Bots as Infrapuncture*. :-)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "(explain a bit how Jupyter notebooks work)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install Mastodon.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from mastodon import Mastodon # https://github.com/halcy/Mastodon.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "instance = 'https://botsin.space'\n",
    "# username = 'USERNAME'\n",
    "# password = 'PASSWORD'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Register the bot as an application, save details as a (.secret) plain text file.\n",
    "\n",
    "# This only needs to be done once!\n",
    "# (we already did it)\n",
    "\n",
    "# Mastodon.create_app(\n",
    "#     'bots-as-infrapunctures',\n",
    "#     api_base_url = instance,\n",
    "#     to_file = 'mastodon-bot.secret'\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Write your login details to a (.secret) plain text file.\n",
    "\n",
    "# This only needs to be done once!\n",
    "# (we already did it)\n",
    "\n",
    "# mastodon = Mastodon(\n",
    "#     client_id = 'mastodon-bot.secret',\n",
    "#     api_base_url = instance\n",
    "# )\n",
    "\n",
    "# mastodon.log_in(\n",
    "#     username,\n",
    "#     password,\n",
    "#     to_file = 'mastodon-bot-usercred.secret'\n",
    "# )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we will run the bot!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start up the bot....\n",
    "\n",
    "mastodon = Mastodon(\n",
    "    access_token = 'mastodon-bot-usercred.secret',\n",
    "    api_base_url =  instance\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start tooting!\n",
    "\n",
    "mastodon.toot('testing tooting')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Another one, automized over a longer period of time\n",
    "\n",
    "from time import sleep\n",
    "\n",
    "toots = [\n",
    "    'Sentence 1',\n",
    "    'Sentence 2',\n",
    "    'Sentence 3',\n",
    "    'Sentence 4',\n",
    "    'Sentence 5'\n",
    "]\n",
    "\n",
    "for toot in toots:\n",
    "    mastodon.toot(toot)\n",
    "    sleep(300) # 300 seconds = 5 minutes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Something with a dictionary\n",
    "\n",
    "vocabulary = {\n",
    "    \n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Generate sentences ? \n",
    "\n",
    "names = ['', '', '']\n",
    "objects = ['', '', '']\n",
    "actions = ['', '', '']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<method 'time' of 'datetime.datetime' objects>\n"
     ]
    }
   ],
   "source": [
    "# Using the current time\n",
    "\n",
    "from datetime import datetime\n",
    "\n",
    "print(datetime.now)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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    "name": "ipython",
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   "nbconvert_exporter": "python",
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