{ "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": "markdown", "metadata": {}, "source": [ "## Import the Mastodon library" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We're using a Python library that is written for Mastodon.\n", "\n", "https://github.com/halcy/Mastodon.py" ] }, { "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 " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Configuring the infrastructure" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "instance = 'https://botsin.space'" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Starting the bot...." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "mastodon = Mastodon(\n", " access_token = 'mastodon-bot-usercred.secret',\n", " api_base_url = instance\n", ")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Tooting time! \n", "\n", "These are different examples you can use." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Write a toot.\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": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'id': 105158839281621670,\n", " 'type': 'image',\n", " 'url': 'https://files.botsin.space/media_attachments/files/105/158/839/281/621/670/original/b6092861a5b9fea8.png',\n", " 'preview_url': 'https://files.botsin.space/media_attachments/files/105/158/839/281/621/670/small/b6092861a5b9fea8.png',\n", " 'remote_url': None,\n", " 'preview_remote_url': None,\n", " 'text_url': 'https://botsin.space/media/DMDQwSmifxEp29TPEVw',\n", " 'meta': {'original': {'width': 1707,\n", " 'height': 960,\n", " 'size': '1707x960',\n", " 'aspect': 1.778125},\n", " 'small': {'width': 533,\n", " 'height': 300,\n", " 'size': '533x300',\n", " 'aspect': 1.7766666666666666}},\n", " 'description': None,\n", " 'blurhash': 'UIFPBE9F00?bIUM{%MofRjt7oft7t7M{Rjj['}" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Tooting a media file (audio, video, image)\n", "# https://mastodonpy.readthedocs.io/en/stable/#media-dicts\n", "\n", "import urllib.request\n", "\n", "url = 'https://vvvvvvaria.org/bots-as-digital-infrapunctures/images/slide.png'\n", "caption = 'Testing'\n", "\n", "urllib.request.urlretrieve(url, 'media/tmp.jpg')\n", "mastodon.media_post('media/tmp.jpg', 'image/jpeg')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Generate sentences ? \n", "\n", "import random\n", "\n", "names = ['', '', '']\n", "objects = ['', '', '']\n", "actions = ['', '', '']\n", "\n", "n = random.choice(names)\n", "o = random.choice(objects)\n", "a = random.choice(actions)\n", "\n", "toot = ''\n", "mastodon.toot(toot)\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "2020-11-05 17:31:54.233814\n" ] } ], "source": [ "# Using the current time\n", "\n", "from datetime import datetime\n", "\n", "print(datetime.now())\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Make your own bot" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# instance = 'URL'\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": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 4 }