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78
plugins/ai-music.py Normal file
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"""
This plugin provides a command to interact with the music knowledge A.I.
"""
# plugins/ai-music.py
import logging
import requests
import json
import simplematrixbotlib as botlib
import re
import markdown2
async def handle_command(room, message, bot, prefix, config):
"""
Function to handle the !music command.
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (Bot): The bot object.
PREFIX (str): The command prefix.
Returns:
None
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.is_not_from_this_bot() and match.prefix() and match.command("music"):
logging.info("Received !music command")
args = match.args()
if len(args) < 1:
await bot.api.send_text_message(room.room_id, "Usage: !music [prompt]")
logging.info("Sent usage message to the room")
return
prompt = ' '.join(args)
# Prepare data for the API request
url = "http://127.0.0.1:5000/v1/completions"
headers = {
"Content-Type": "application/json"
}
data = {
"prompt": "<s>[INST]You are FunguyFlows, an AI music expert bot with access to a vast repository of knowledge encompassing every facet of music, spanning genres, artists, bands, compositions, albums, lyrics, music theory, composition techniques, composers, music history, music appreciation, and more. Your role is to serve as an invaluable resource and guide within the realm of music, offering comprehensive insights, recommendations, and assistance to music enthusiasts, students, professionals, and curious minds alike.Drawing upon humanity's collective knowledge and expertise in music, your database contains a wealth of information sourced from authoritative texts, scholarly articles, historical archives, musical compositions, biographies, discographies, and cultural repositories. This rich repository enables you to provide accurate, detailed, and insightful responses to a wide range of inquiries, covering an extensive array of topics related to music theory, composition, performance, history, and appreciation.As an AI music expert, your knowledge extends across various genres, including classical, jazz, rock, pop, hip-hop, electronic, folk, world music, and beyond. You possess a deep understanding of musical concepts such as melody, harmony, rhythm, timbre, form, dynamics, and texture, allowing you to analyze and interpret musical compositions with precision and clarity.In addition to your expertise in music theory and composition, you are well-versed in the works of renowned composers throughout history, from the classical masters of Bach, Mozart, and Beethoven to contemporary innovators like John Williams, Philip Glass, and Hans Zimmer. You can provide detailed biographical information, analysis of their compositions, and insights into their lasting impact on the world of music.Your knowledge of music history is extensive, spanning centuries of cultural evolution and musical innovation. From the Gregorian chants of the medieval period to the avant-garde experiments of the 20th century, you can trace the development of musical styles, movements, and traditions across different regions and epochs, shedding light on the social, political, and artistic contexts that shaped musical expression throughout history.Furthermore, your expertise encompasses a diverse range of topics related to music appreciation, including techniques for active listening, critical analysis of musical performances, understanding musical genres and styles, exploring the cultural significance of music, and engaging with music as a form of creative expression, emotional communication, and cultural identity.Whether users seek recommendations for discovering new artists and albums, assistance with analyzing musical compositions, insights into music theory concepts, guidance on composing their own music, or historical context for understanding musical traditions, you are poised to provide informative, engaging, and enriching responses tailored to their interests and inquiries.As an AI music expert bot, your mission is to inspire curiosity, deepen understanding, and foster appreciation for the diverse and multifaceted world of music. By sharing your knowledge, passion, and enthusiasm for music, you aim to empower individuals to explore, create, and connect through the universal language of sound. Embrace your role as a trusted guide and mentor within the realm of music, and let your expertise illuminate the path for music lovers and learners alike, one harmonious interaction at a time. You will only answer questions about music, and nothing else. Now... tell me about: "+prompt+"[/INST]",
"max_tokens": 1024,
"temperature": 1.31,
"top_p": 0.14,
"top_k": 49,
"seed": -1,
"stream": False,
"repetition_penalty": 1.17
}
# Make HTTP request to the API endpoint
try:
response = requests.post(url, headers=headers, json=data, verify=False)
response.raise_for_status() # Raise HTTPError for bad responses
payload = response.json()
new_text = payload['choices'][0]['text']
new_text = markdown_to_html(new_text)
print(new_text)
if new_text.count('<p>') > 1 or new_text.count('<li>') > 1: # Check if new_text has more than one paragraph
#new_text = new_text.replace("\n", '<br>')
#new_text = re.sub(r"\*\*(.*?)\*\*", r"<strong>\1</strong>", new_text)
new_text = "<details><summary><strong>🎵Funguy Music GPT🎵<br>⤵︎Click Here To See Funguy's Response⤵︎</strong></summary>" + new_text + "</details>"
await bot.api.send_markdown_message(room.room_id, new_text)
else:
await bot.api.send_markdown_message(room.room_id, new_text)
logging.info("Sent generated text to the room")
except requests.exceptions.RequestException as e:
logging.error(f"HTTP request failed for '{prompt}': {e}")
await bot.api.send_text_message(room.room_id, f"Error generating text: {e}")
def markdown_to_html(markdown_text):
html_content = markdown2.markdown(markdown_text)
return html_content

76
plugins/ai-tech.py Normal file
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"""
This plugin provides a command to interact with the LLM for Tech/IT/Security/Selfhosting/Programming etc.
"""
# plugins/ai-tech.py
import logging
import requests
import json
import simplematrixbotlib as botlib
import re
import markdown2
async def handle_command(room, message, bot, prefix, config):
"""
Function to handle the !funguy command.
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (Bot): The bot object.
prefix (str): The command prefix.
Returns:
None
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.is_not_from_this_bot() and match.prefix() and match.command("funguy"):
logging.info("Received !funguy command")
args = match.args()
if len(args) < 1:
await bot.api.send_text_message(room.room_id, "Usage: !funguy [prompt]")
logging.info("Sent usage message to the room")
return
prompt = ' '.join(args)
# Prepare data for the API request
url = "http://127.0.0.1:5000/v1/completions"
headers = {
"Content-Type": "application/json"
}
data = {
"prompt": "<s>[INST]You are FunguyGPT, a language model deployed as a chatbot for a community chat room hosted on Matrix. The chat room focuses on discussions related to self-hosting, system administration, cybersecurity, homelab setups, programming, coding, and general IT/tech topics. Your role is to assist users within the community by providing helpful responses and guidance on various technical matters. It's essential to keep your replies concise and relevant, addressing users' queries effectively while maintaining a friendly and approachable demeanor. Remember to prioritize clarity and brevity in your interactions to ensure a positive user experience within the chat room environment. You are FunguyGPT, an AI language model designed to serve as a chatbot within a vibrant and diverse community chat room hosted on the Matrix platform. This chat room acts as a hub for enthusiasts and professionals alike, engaging in discussions spanning a wide array of technical topics, including self-hosting, system administration, cybersecurity, homelab setups, programming, coding, and general IT/tech inquiries. Your primary objective is to act as a reliable and knowledgeable assistant, offering assistance, guidance, and solutions to the community members as they navigate through their technical challenges and endeavors.Given the broad spectrum of topics discussed within the community, it's crucial for you to possess a comprehensive understanding of various domains within the realm of technology. As such, your knowledge should encompass not only the fundamentals of programming languages, software development methodologies, and system administration principles but also extend to cybersecurity best practices, networking protocols, cloud computing, database management, and beyond. Your role as a chatbot is multifaceted and dynamic. You'll be tasked with responding to a wide range of queries, ranging from beginner-level inquiries seeking clarification on basic concepts to advanced discussions requiring nuanced insights and problem-solving skills. Whether it's troubleshooting code errors, configuring network settings, securing server environments, optimizing database performance, or recommending suitable homelab hardware, your goal is to provide accurate, actionable, and helpful responses tailored to the needs of the community members. In addition to offering direct assistance, you should also strive to foster a collaborative and supportive atmosphere within the chat room. Encourage knowledge sharing, facilitate discussions, and celebrate the achievements of community members as they tackle technical challenges and embark on learning journeys. By promoting a culture of learning and collaboration, you'll contribute to the growth and cohesion of the community, empowering individuals to expand their skill sets and achieve their goals within the realm of technology. As you engage with users within the chat room, prioritize brevity and clarity in your responses. While it's essential to provide comprehensive and accurate information, it's equally important to convey it in a concise and easily understandable manner. Avoid overly technical jargon or convoluted explanations that may confuse or overwhelm community members, opting instead for straightforward explanations and practical solutions whenever possible. Remember, your ultimate objective is to be a trusted ally and resource for the members of the community as they navigate the ever-evolving landscape of technology. By leveraging your expertise, empathy, and problem-solving abilities, you'll play a vital role in facilitating knowledge exchange, fostering collaboration, and empowering individuals to succeed in their technical endeavors. As you embark on this journey as a chatbot within the Matrix community, embrace the opportunity to make a meaningful and positive impact, one helpful interaction at a time. You will format the reply using minimal html instead of markdown. Do not use markdown formatting. Here is the prompt: "+prompt+"[/INST]",
"max_tokens": 1024,
"temperature": 1.31,
"top_p": 0.14,
"top_k": 49,
"seed": -1,
"stream": False,
"repetition_penalty": 1.17
}
# Make HTTP request to the API endpoint
try:
response = requests.post(url, headers=headers, json=data, verify=False)
response.raise_for_status() # Raise HTTPError for bad responses
payload = response.json()
new_text = payload['choices'][0]['text']
new_text = markdown_to_html(new_text)
if new_text.count('<p>') > 2: # Check if new_text has more than one paragraph
#new_text = new_text.replace("\n", '<br>')
#new_text = re.sub(r"\*\*(.*?)\*\*", r"<strong>\1</strong>", new_text)
new_text = "<details><summary><strong>🍄Funguy Tech GPT🍄<br>⤵︎Click Here To See Funguy's Response⤵︎</strong></summary>" + new_text + "</details>"
await bot.api.send_markdown_message(room.room_id, new_text)
else:
await bot.api.send_markdown_message(room.room_id, new_text)
logging.info(f"Sent generated text to the room: {new_text}")
except requests.exceptions.RequestException as e:
logging.error(f"HTTP request failed for '{prompt}': {e}")
await bot.api.send_text_message(room.room_id, f"Error generating text: {e}")
def markdown_to_html(markdown_text):
html_content = markdown2.markdown(markdown_text)
return html_content

1226
plugins/ai.json
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109
plugins/ai.py
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"""
This plugin provides commands to interact with different AI models.
"""
import logging
import requests
import json
import simplematrixbotlib as botlib
import re
import markdown2
async def handle_command(room, message, bot, prefix, config):
"""
Function to handle AI commands.
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (Bot): The bot object.
prefix (str): The command prefix.
Returns:
None
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.is_not_from_this_bot() and match.prefix():
logging.info(f"Received command: {match.command()}")
command = match.command()
conf = load_config()
if command in conf:
await handle_ai_command(room, bot, command, match.args(), conf)
#else:
#await bot.api.send_text_message(room.room_id, f"Unknown command: {command}")
#logging.info("Sent unknown command message to the room")
async def handle_ai_command(room, bot, command, args, config):
"""
Function to handle AI commands.
Args:
room (Room): The Matrix room where the command was invoked.
bot (Bot): The bot object.
command (str): The name of the AI model command.
args (list): List of arguments provided with the command.
config: Configuration parameters.
Returns:
None
"""
if len(args) < 1:
await bot.api.send_text_message(room.room_id, f"Usage: !{command} [prompt]")
logging.info("Sent usage message to the room")
return
prompt = ' '.join(args)
# Prepare data for the API request
url = "http://127.0.0.1:5000/v1/completions"
headers = {
"Content-Type": "application/json"
}
data = {
"prompt": f"<s>[INST]{config[command]['prompt']}{prompt}[/INST]",
"max_tokens": 1024,
"temperature": config[command]["temperature"],
"top_p": config[command]["top_p"],
"top_k": config[command]["top_k"],
"repetition_penalty": config[command]["repetition_penalty"],
"seed": -1,
"stream": False
}
# Make HTTP request to the API endpoint
try:
response = requests.post(url, headers=headers, json=data, verify=False)
response.raise_for_status() # Raise HTTPError for bad responses
payload = response.json()
new_text = payload['choices'][0]['text']
new_text = markdown_to_html(new_text)
if new_text.count('<p>') > 1 or new_text.count('<li>') > 1: # Check if new_text has more than one paragraph
new_text = f"<details><summary><strong>{config[command]['summary']}</strong></summary>{new_text}</details>"
await bot.api.send_markdown_message(room.room_id, new_text)
else:
await bot.api.send_markdown_message(room.room_id, new_text)
logging.info("Sent generated text to the room")
except requests.exceptions.RequestException as e:
logging.error(f"HTTP request failed for '{prompt}': {e}")
await bot.api.send_text_message(room.room_id, f"Error generating text: {e}")
def markdown_to_html(markdown_text):
html_content = markdown2.markdown(markdown_text)
return html_content
def load_config():
"""
Load configuration from ai.json file.
Returns:
dict: Configuration parameters.
"""
with open("plugins/ai.json", "r") as f:
config = json.load(f)
return config
CONFIG = load_config()

23
plugins/help.py
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@ -1,7 +1,9 @@
"""
Plugin for providing a command to display the list of available commands and their descriptions.
This plugin provides a command to display the list of available commands and their descriptions.
"""
# plugins/help.py
import logging
import simplematrixbotlib as botlib
@ -12,9 +14,6 @@ async def handle_command(room, message, bot, prefix, config):
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (MatrixBot): The Matrix bot instance.
prefix (str): The command prefix.
config (dict): The bot's configuration.
Returns:
None
@ -53,16 +52,12 @@ async def handle_command(room, message, bot, prefix, config):
<p>Decreases the karma points for the specified user by 1. Decreases the karma points for the specified user by 1 in the database and sends the updated points as a message to the chat room.</p>
</details>
<details><summary>📸 <strong>!sd [prompt]</strong></summary>
<p>Generates images using self-hosted Stable Diffusion. See available options using just '!sd'.</p>
<details><summary>📄 <strong>!funguy [prompt]</strong></summary>
<p>An AI large language model designed to serve as a chatbot within a vibrant and diverse community chat room hosted on the Matrix platform. (Currently loaded model: <strong>TheBloke_Mistral-7B-Instruct-v0.2-GPTQ</strong>)</p>
</details>
<details><summary>💡 <strong>!enable</strong></summary>
<p>Enables a disabled command. Use '!enable plugin room' to enable a specific command.</p>
</details>
<details><summary>🚫 <strong>!disable</strong></summary>
<p>Disables a command. Use '!disable plugin room' to disable a specific command.</p>
<details><summary>🎝 <strong>!music [prompt]</strong></summary>
<p>Your music expert! Try it out.</p>
</details>
<details><summary>🌟 <strong>Funguy Bot Credits</strong> 🌟</summary>
@ -71,10 +66,6 @@ async def handle_command(room, message, bot, prefix, config):
</details>
</p>
</details>
<details><summary>📸 <strong>Funguy Bot AI Commands</strong> 🌟</summary>
!tech, !music, !eth, !seo, !term, !eng, !intv, !js, !xls, !pron, !spk, !trv, !plag, !char, !adv, !story, !foot, !comic, !motiv, !music, !debate, !write, !script, !author, !crit, !rel, !poem, !rap, !speak, !phil, !math, !tutor, !design, !sec, !recruit, !coach, !etymo, !com, !magic, !counsel, !behavior, !fit, !mh, !realest, !log, !dental, !web, !health, !acc, !chef, !auto, !art, !fin, !invest, !tea, !interior, !florist, !selfhelp, !gnome, !aph, !adv, !advgame, !esc, !title, !stats, !prompt, !teach, !db, !diet, !psych, !domain, !tech, !review, !devrel, !acad, !arch, !insane, !manip, !logic, !review, !diy, !influencer, !philos, !socrat, !edu, !meditate, !writer, !smm, !eloc, !viz, !nav, !hypno, !hist, !astro, !critic, !comp, !journo, !curation, !pscoach, !makeup, !childcare, !writing, !art, !py, !syn, !shop, !dining, !telemed, !cook, !law, !fashion, !ml, !trans, !design, !it, !chess, !prompt, !dev, !math, !regex, !time, !dream, !coach, !r, !comm, !trans, !php, !emergency, !worksheet, !test, !game, !security, !create, !browse, !dev, !search, !startup, !guide, !langdet, !sales, !msg, !ceo, !diag, !coach, !therapy, !legal, !gen, !mgmt, !drunk, !hist, !rec, !write, !techtrans, !ai, !game, !proof, !spirit, !spirit, !chem, !friend, !py, !chat, !wiki, !kanji, !note, !litcrit, !enhance, !travel, !data, !gaming
</details>
"""
await bot.api.send_markdown_message(room.room_id, commands_message)

34
plugins/loadplugin.py
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@ -1,64 +1,35 @@
"""
Plugin for providing a command for the admin to load a plugin.
This plugin provides a command for the admin to load a plugin
"""
# plugins/load_plugin.py
import os
import logging
import importlib
import simplematrixbotlib as botlib
# Dictionary to store loaded plugins
PLUGINS = {}
async def load_plugin(plugin_name):
"""
Asynchronously loads a plugin.
Args:
plugin_name (str): The name of the plugin to load.
Returns:
bool: True if the plugin is loaded successfully, False otherwise.
"""
try:
# Import the plugin module
module = importlib.import_module(f"plugins.{plugin_name}")
# Add the plugin module to the PLUGINS dictionary
PLUGINS[plugin_name] = module
logging.info(f"Loaded plugin: {plugin_name}")
return True
except Exception as e:
# Log an error if the plugin fails to load
logging.error(f"Error loading plugin {plugin_name}: {e}")
return False
async def handle_command(room, message, bot, prefix, config):
"""
Asynchronously handles the command to load a plugin.
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (MatrixBot): The Matrix bot instance.
prefix (str): The command prefix.
config (dict): The bot's configuration.
Returns:
None
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.is_not_from_this_bot() and match.prefix() and match.command("load"):
# Check if the sender is the admin
if str(message.sender) == config.admin_user:
args = match.args()
if len(args) != 1:
# Send usage message if the command format is incorrect
await bot.api.send_text_message(room.room_id, "Usage: !load <plugin>")
else:
plugin_name = args[0]
# Check if the plugin is not already loaded
if plugin_name not in PLUGINS:
# Load the plugin
success = await load_plugin(plugin_name)
if success:
await bot.api.send_text_message(room.room_id, f"Plugin '{plugin_name}' loaded successfully")
@ -67,5 +38,4 @@ async def handle_command(room, message, bot, prefix, config):
else:
await bot.api.send_text_message(room.room_id, f"Plugin '{plugin_name}' is already loaded")
else:
# Send unauthorized message if the sender is not the admin
await bot.api.send_text_message(room.room_id, "You are not authorized to load plugins.")

67
plugins/stable-diffusion.py
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@ -1,7 +1,7 @@
"""
Plugin for generating images using self-hosted Stable Diffusion and sending them to a Matrix chat room.
This plugin provides a command to generate images using self hosted Stable Diffusion and send to the room
"""
# plugins/stable-diffusion.py
import requests
import base64
from asyncio import Queue
@ -11,45 +11,17 @@ import markdown2
from slugify import slugify
def slugify_prompt(prompt):
"""
Generates a URL-friendly slug from the given prompt.
Args:
prompt (str): The prompt to slugify.
Returns:
str: A URL-friendly slug version of the prompt.
"""
# Generate a slug from the prompt
return slugify(prompt)
# Queue to store pending commands
command_queue = Queue()
def markdown_to_html(markdown_text):
"""
Converts Markdown text to HTML.
Args:
markdown_text (str): The Markdown text to convert.
Returns:
str: The HTML version of the input Markdown text.
"""
html_content = markdown2.markdown(markdown_text)
return html_content
async def process_command(room, message, bot, prefix, config):
"""
Asynchronously processes the commands received in the Matrix room.
Args:
room (Room): The Matrix room where the command was received.
message (Message): The message object containing the command.
bot (MatrixBot): The Matrix bot instance.
prefix (str): The command prefix.
config (dict): The bot's configuration.
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.prefix() and match.command("sd"):
if command_queue.empty():
@ -58,21 +30,10 @@ async def process_command(room, message, bot, prefix, config):
await command_queue.put((room, message, bot, prefix, config))
async def handle_command(room, message, bot, prefix, config):
"""
Asynchronously handles the 'sd' command, which generates images using Stable Diffusion.
Args:
room (Room): The Matrix room where the command was received.
message (Message): The message object containing the command.
bot (MatrixBot): The Matrix bot instance.
prefix (str): The command prefix.
config (dict): The bot's configuration.
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.prefix() and match.command("sd"):
try:
# Parse command-line arguments
parser = argparse.ArgumentParser(description='Generate images using self-hosted Stable Diffusion')
parser = argparse.ArgumentParser(description='Generate images using self hosted Stable Diffusion')
parser.add_argument('--steps', type=int, default=4, help='Number of steps, default=16')
parser.add_argument('--cfg', type=int, default=1.25, help='CFG scale, default=7')
parser.add_argument('--h', type=int, default=512, help='Height of the image, default=512')
@ -100,46 +61,32 @@ async def handle_command(room, message, bot, prefix, config):
}
url = "http://127.0.0.1:7860/sdapi/v1/txt2img"
# Send request to the Stable Diffusion API
response = requests.post(url=url, json=payload)
r = response.json()
# Slugify the prompt
prompt_slug = slugify(prompt[:120])
prompt_slug = prompt[:120]
# Construct filename
filename = f"{prompt_slug}_{args.steps}_{args.h}x{args.w}_{sampler_name}_{args.cfg}.jpg"
with open(f"/tmp/{filename}", 'wb') as f:
f.write(base64.b64decode(r['images'][0]))
# Send the generated image to the Matrix room
await bot.api.send_image_message(room_id=room.room_id, image_filepath=f"/tmp/{filename}")
# Format and send information about the generated image
await bot.api.send_image_message(room_id=room.room_id, image_filepath=f"/tmp/{filename}") # Corrected argument name
neg = neg.replace(" ", "")
info_msg = f"""<details><summary>🍄⤵︎Image Info:⤵︎</summary><strong>Prompt:</strong> {prompt_slug}<br><strong>Steps:</strong> {args.steps}<br><strong>Dimensions:</strong> {args.h}x{args.w}<br><strong>Sampler:</strong> {sampler_name}<br><strong>CFG Scale:</strong> {args.cfg}<br><strong>Negative Prompt: {neg}</strong></details>"""
await bot.api.send_markdown_message(room.room_id, info_msg)
except argparse.ArgumentError as e:
# Handle argument errors
await bot.api.send_text_message(room.room_id, f"Error: {e}")
await bot.api.send_markdown_message(room.room_id, "<details><summary>Stable Diffusion Help</summary>" + print_help() + "</details>")
except Exception as e:
# Handle general errors
await bot.api.send_text_message(room.room_id, f"Error processing the command: {str(e)}")
finally:
# Process next command from the queue, if any
if not command_queue.empty():
next_command = await command_queue.get()
await handle_command(*next_command)
def print_help():
"""
Generates help text for the 'sd' command.
Returns:
str: Help text for the 'sd' command.
"""
return """
<p>Generate images using self-hosted Stable Diffusion</p>
@ -148,8 +95,6 @@ def print_help():
<li>prompt - Prompt for the image</li>
</ul>
<p>Default Negative Prompts: ((((ugly)))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck)))</p>
<p>Optional arguments:</p>
<ul>
<li>--steps STEPS - Number of steps, default=16</li>

43
plugins/youtube-preview.py
View File

@ -1,39 +1,21 @@
"""
Plugin for providing a command to fetch YouTube video information from links.
This plugin provides a command to fetch YouTube video information from links.
"""
# Importing necessary libraries
# plugins/youtube.py
import re
import logging
import asyncio
from pytubefix import YouTube
import simplematrixbotlib as botlib
import asyncio
def seconds_to_minutes_seconds(seconds):
"""
Converts seconds to a string representation of minutes and seconds.
Args:
seconds (int): The number of seconds.
Returns:
str: A string representation of minutes and seconds in the format MM:SS.
"""
minutes = seconds // 60
seconds %= 60
return f"{minutes:02d}:{seconds:02d}"
async def fetch_youtube_info(youtube_url):
"""
Asynchronously fetches information about a YouTube video.
Args:
youtube_url (str): The URL of the YouTube video.
Returns:
str: A message containing information about the YouTube video.
None if an error occurs during fetching.
"""
try:
video = YouTube(youtube_url)
title = video.title
@ -49,21 +31,8 @@ async def fetch_youtube_info(youtube_url):
return None
async def handle_command(room, message, bot, prefix, config):
"""
Asynchronously handles the command to fetch YouTube video information.
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (MatrixBot): The Matrix bot instance.
prefix (str): The command prefix.
config (dict): The bot's configuration.
Returns:
None
"""
match = botlib.MessageMatch(room, message, bot, prefix)
if match.is_not_from_this_bot() and re.search(r'youtube\.com/watch\?v=', message.body):
if match.is_not_from_this_bot() and re.search(r'youtube\.com/watch\?v=', message.body): # and room.room_id != '!uFhErnfpYhhlauJsNK:matrix.org':
logging.info("YouTube link detected")
video_id_match = re.search(r'youtube\.com/watch\?v=([^\s]+)', message.body)
if video_id_match:
@ -83,3 +52,5 @@ async def handle_command(room, message, bot, prefix, config):
await asyncio.sleep(1) # wait for 1 second before retrying
else:
logging.error("Failed to fetch YouTube video information after retries")

38
plugins/youtube-search.py
View File

@ -1,25 +1,13 @@
"""
Plugin for providing a command to search for YouTube videos in the room.
This plugin provides a command to search for YouTube videos in the room
"""
# plugins/youtube_search.py
import logging
import simplematrixbotlib as botlib
from youtube_search import YoutubeSearch
async def handle_command(room, message, bot, PREFIX, config):
"""
Asynchronously handles the command to search for YouTube videos in the room.
Args:
room (Room): The Matrix room where the command was invoked.
message (RoomMessage): The message object containing the command.
bot (MatrixBot): The Matrix bot instance.
PREFIX (str): The command prefix.
config (dict): The bot's configuration.
Returns:
None
"""
match = botlib.MessageMatch(room, message, bot, PREFIX)
if match.is_not_from_this_bot() and match.prefix() and match.command("yt"):
args = match.args()
@ -28,7 +16,7 @@ async def handle_command(room, message, bot, PREFIX, config):
else:
search_terms = " ".join(args)
logging.info(f"Performing YouTube search for: {search_terms}")
results = YoutubeSearch(search_terms, max_results=10).to_dict()
results = YoutubeSearch(search_terms, max_results=3).to_dict()
if results:
output = generate_output(results)
await send_collapsible_message(room, bot, output)
@ -36,15 +24,6 @@ async def handle_command(room, message, bot, PREFIX, config):
await bot.api.send_text_message(room.room_id, "No results found.")
def generate_output(results):
"""
Generates HTML output for displaying YouTube search results.
Args:
results (list): A list of dictionaries containing information about YouTube videos.
Returns:
str: HTML formatted output containing YouTube search results.
"""
output = ""
for video in results:
output += f'<a href="https://www.youtube.com/watch?v={video["id"]}">'
@ -58,16 +37,5 @@ def generate_output(results):
async def send_collapsible_message(room, bot, content):
"""
Sends a collapsible message containing YouTube search results to the room.
Args:
room (Room): The Matrix room where the message will be sent.
bot (MatrixBot): The Matrix bot instance.
content (str): HTML content to be included in the collapsible message.
Returns:
None
"""
message = f'<details><summary><strong>🍄Funguy ▶YouTube Search🍄<br>⤵︎Click Here To See Results⤵︎</strong></summary>{content}</details>'
await bot.api.send_markdown_message(room.room_id, message)