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bot.py
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bot.py
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#!/usr/bin/env python3
import re
import logging
import time
import dotenv
import queue
import threading
from typing import Callable
from slack_bolt import App
from slack_bolt.adapter.socket_mode import SocketModeHandler
from backends import BaseBackend, LlamaCppBackend, OllamaBackend
from imagegen.BaseImageGen import BaseImageGen
from imagegen.SDXS import SDXS
from imagegen import DEFAULT_IMG_OUTPUT
from lib.config import config
from backends import BaseBackend
print(
r"""
__
|__|_______ ____ _____ __ _ ________
| |\_ __ \_/ ___\ \__ \ \ \/ \/ /\____ \
| | | | \/\ \___ / __ \_\ / | |_) )
|__| |__| \___ )(____ / \/\_/ | __/
\/ \/ |__|
-=-=-=-=-=-=-=-=-= BOOTING =-=-=-=-=-=-=-=-
""".rstrip()
)
# config
slack_creds = dotenv.dotenv_values(".env")
if not slack_creds["SLACK_APP_TOKEN"] or not slack_creds["SLACK_BOT_TOKEN"]:
raise Exception("Slack credentials incomplete. Check .env file.")
THREAD_SLEEP = config.get("thread_sleep", 0.250)
logging.basicConfig(level=config.get("log_level", "INFO"))
# globals
slack_queue: queue.Queue = queue.Queue()
backend_instance: BaseBackend | None = None
imagegen_instance: BaseImageGen | None = None
bolt = App(token=slack_creds["SLACK_BOT_TOKEN"])
@bolt.event("app_mention")
def ingest_event(event, message, client, say, body):
user_id = event["user"]
channel = event["channel"]
regex = r"(<.*> )(.*)"
prompt = re.match(regex, event["text"], re.MULTILINE)[2]
add_to_queue(user_id, channel, prompt, say)
def add_to_queue(user_id: str, channel: str, message: str, say: Callable):
"""
Add a message to the queue to be sent to Slack.
Args:
user_id (str): The user ID of the user who sent the message.
channel (str): The channel ID of the channel the message was sent in.
message (_type_): _description_
say (_type_): _description_
"""
slack_queue.put((user_id, channel, message, say))
SIMPLIFIER_THRESHOLD = 120
PROMPT_SIMPLIFIER_IMAGEGEN = """
Summarize the content of this text to under 120 characters for use in an image generator prompt. Greatly simplify the concept to it's basics.
"""
def _simplifyPrompt(prompt: str) -> str:
if len(prompt) < SIMPLIFIER_THRESHOLD or not prompt:
return prompt.strip()
print("\n\n!!! Truncating imagegen prompt")
result, _ = backend_instance.query(
prompt,
system_prompt=f"/raw {PROMPT_SIMPLIFIER_IMAGEGEN}\n\n{prompt}",
)
print(f"!!! NEW PROMPT: {result}\n\n)")
return result.strip()
def say_image(
*,
response="",
media_content="",
media_prefix="",
username,
channel,
):
if response:
response_message_with_username = f"@{username} {response}"
else:
response_message_with_username = ""
if media_content:
imagegen_prompt = media_content or response
imagegen_prompt = _simplifyPrompt(imagegen_prompt)
"; ".join([media_prefix or "", imagegen_prompt])
print(f"!!! Imagegen prompt: {imagegen_prompt}")
imagegen_instance.generateImage(
imagegen_prompt,
DEFAULT_IMG_OUTPUT,
)
with open(DEFAULT_IMG_OUTPUT, "rb") as f:
bolt.client.files_upload_v2(
file=f.read(),
channel=channel,
initial_comment=response_message_with_username,
title=f"{imagegen_prompt}",
)
def process_queue_entry(user_id, channel, prompt, say):
logging.info("==========================")
logging.info(
f"Processing queue entry for {user_id} with prompt '{prompt}'"
)
skip_imagegen = prompt.endswith("@@")
prompt = prompt.replace("@@", "")
prompt = prompt.strip()
print("\n\n>>> Prompt: ", prompt)
username = bolt.client.users_info(user=user_id)["user"]["profile"][
"display_name"
]
response, media = backend_instance.query(prompt, username=username)
logging.info(f"<<< Response: '{response}', '{media}'")
print(f"<<< Response: '{response}', Med: '{media}'\n\n")
if not skip_imagegen and response and not media:
media = {"content": response, "prefix": ""}
if (
skip_imagegen
# or not media
or (not (media["content"] if isinstance(media, dict) else media))
or not imagegen_instance
):
# raw text
say(f"<@{user_id}>: {response}")
elif isinstance(media, dict):
# dict media
say_image(
response=response,
media_content=media["content"],
media_prefix=media["prefix"],
channel=channel,
username=username,
)
else:
# flat string media
say_image(
response=response,
media_content=media,
channel=channel,
username=username,
)
# else:
# say_image(
# response=response,
# media=None,
# username=username,
# channel=channel,
# augment_with_imagegen=skip_imagegen,
# )
# elif media and :
# say_image(
# response=response,
# media=media,
# username=username,
# channel=channel,
# )
# else:
def process_queue():
"""
Process the queue of messages to be sent to Slack until
the heat death of the universe. But pause for a bit
now and then.
"""
logging.info("Starting queue processing thread...")
while True:
time.sleep(THREAD_SLEEP)
if not slack_queue.empty():
process_queue_entry(*slack_queue.get())
if __name__ == "__main__":
match config.get("backend", "llamacpp"):
case "llamacpp":
backend_instance = LlamaCppBackend()
case "ollama":
backend_instance = OllamaBackend()
imagegen_instance = SDXS()
queue_thread = threading.Thread(target=process_queue, daemon=True)
queue_thread.start()
SocketModeHandler(bolt, slack_creds["SLACK_APP_TOKEN"]).start()