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gpt3discord.py
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gpt3discord.py
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import os
import asyncio
import signal
import sys
import threading
import traceback
from pathlib import Path
from platform import system
import discord
import pinecone
from pycord.multicog import apply_multicog
from cogs.code_interpreter_service_cog import CodeInterpreterService
from cogs.search_service_cog import SearchService
from cogs.text_service_cog import GPT3ComCon
from cogs.image_service_cog import DrawDallEService
from cogs.prompt_optimizer_cog import ImgPromptOptimizer
from cogs.moderations_service_cog import ModerationsService
from cogs.commands import Commands
from cogs.transcription_service_cog import TranscribeService
from cogs.translation_service_cog import TranslationService
from cogs.index_service_cog import IndexService
from models.deepl_model import TranslationModel
from services.health_service import HealthService
from services.pickle_service import Pickler
from services.pinecone_service import PineconeService
from services.deletion_service import Deletion
from services.message_queue_service import Message
from services.usage_service import UsageService
from services.environment_service import EnvService
from models.openai_model import Model
__version__ = "12.3.9"
PID_FILE = Path("bot.pid")
PROCESS = None
if sys.platform == "win32":
separator = "\\"
else:
separator = "/"
#
# The pinecone service is used to store and retrieve conversation embeddings.
#
try:
PINECONE_TOKEN = os.getenv("PINECONE_TOKEN")
except Exception:
PINECONE_TOKEN = None
pinecone_service = None
if PINECONE_TOKEN:
pinecone.init(api_key=PINECONE_TOKEN, environment=EnvService.get_pinecone_region())
PINECONE_INDEX = "conversation-embeddings"
if PINECONE_INDEX not in pinecone.list_indexes():
print("Creating pinecone index. Please wait...")
pinecone.create_index(
PINECONE_INDEX,
dimension=1536,
metric="dotproduct",
pod_type="s1",
)
pinecone_service = PineconeService(pinecone.Index(PINECONE_INDEX))
print("Got the pinecone service")
#
# Message queueing for the debug service, defer debug messages to be sent later so we don't hit rate limits.
#
message_queue = asyncio.Queue()
deletion_queue = asyncio.Queue()
asyncio.ensure_future(Message.process_message_queue(message_queue, 1.5, 5))
asyncio.ensure_future(Deletion.process_deletion_queue(deletion_queue, 1, 1))
# Pickling service for conversation persistence
try:
Path(EnvService.save_path() / "pickles").mkdir(exist_ok=True)
except Exception:
traceback.print_exc()
print(
"Could not start pickle service. Conversation history will not be persistent across restarts."
)
pickle_queue = asyncio.Queue()
asyncio.ensure_future(Pickler.process_pickle_queue(pickle_queue, 5, 1))
#
# Settings for the bot
#
activity = discord.Activity(
type=discord.ActivityType.watching, name="for /help, /gpt, and more!"
)
bot = discord.Bot(intents=discord.Intents.all(), command_prefix="!", activity=activity)
usage_service = UsageService(Path(os.environ.get("DATA_DIR", os.getcwd())))
model = Model(usage_service)
#
# An encapsulating wrapper for the discord.py client. This uses the old re-write without cogs, but it gets the job done!
#
@bot.event # Using self gives u
async def on_ready(): # I can make self optional by
print("We have logged in as {0.user}".format(bot))
@bot.event
async def on_application_command_error(
ctx: discord.ApplicationContext, error: discord.DiscordException
):
if isinstance(error, discord.CheckFailure):
pass
else:
raise error
async def main():
data_path = EnvService.environment_path_with_fallback("DATA_DIR")
debug_guild = int(os.getenv("DEBUG_GUILD"))
debug_channel = int(os.getenv("DEBUG_CHANNEL"))
if not data_path.exists():
raise OSError(f"Data path: {data_path} does not exist ... create it?")
# Load the cog for the moderations service
bot.add_cog(ModerationsService(bot, usage_service, model))
# Load the main GPT3 Bot service
bot.add_cog(
GPT3ComCon(
bot,
usage_service,
model,
message_queue,
deletion_queue,
debug_guild,
debug_channel,
data_path,
pinecone_service=pinecone_service,
pickle_queue=pickle_queue,
)
)
bot.add_cog(
DrawDallEService(
bot,
usage_service,
model,
message_queue,
deletion_queue,
bot.get_cog("GPT3ComCon"),
)
)
bot.add_cog(
ImgPromptOptimizer(
bot,
usage_service,
model,
message_queue,
deletion_queue,
bot.get_cog("GPT3ComCon"),
bot.get_cog("DrawDallEService"),
)
)
bot.add_cog(
IndexService(
bot,
usage_service,
deletion_queue,
)
)
if EnvService.get_deepl_token():
bot.add_cog(TranslationService(bot, TranslationModel()))
print("The translation service is enabled.")
if (
EnvService.get_google_search_api_key()
and EnvService.get_google_search_engine_id()
):
bot.add_cog(
SearchService(
bot, model, usage_service, deletion_queue, bot.get_cog("GPT3ComCon")
)
)
print("The Search service is enabled.")
if EnvService.get_e2b_api_key():
bot.add_cog(
CodeInterpreterService(
bot, model, usage_service, deletion_queue, bot.get_cog("GPT3ComCon")
)
)
print("The Code Interpreter service is enabled.")
bot.add_cog(
TranscribeService(
bot,
model,
usage_service,
)
)
bot.add_cog(
Commands(
bot,
usage_service,
model,
message_queue,
deletion_queue,
bot.get_cog("GPT3ComCon"),
bot.get_cog("DrawDallEService"),
bot.get_cog("ImgPromptOptimizer"),
bot.get_cog("ModerationsService"),
bot.get_cog("IndexService"),
bot.get_cog("TranslationService"),
bot.get_cog("SearchService"),
bot.get_cog("TranscribeService"),
bot.get_cog("CodeInterpreterService"),
)
)
apply_multicog(bot)
await bot.start(os.getenv("DISCORD_TOKEN"))
def check_process_file(pid_file: Path) -> bool:
"""Check the pid file exists and if the Process ID is actually running"""
if not pid_file.exists():
return False
if system() == "Linux":
with pid_file.open("r") as pfp:
try:
proc_pid_path = Path("/proc") / "{int(pfp.read().strip())}"
print("Checking if PID proc path {proc_pid_path} exists")
except ValueError:
# We don't have a valid int in the PID File^M
pid_file.unlink()
return False
return proc_pid_path.exists()
return True
def cleanup_pid_file(signum, frame):
# Kill all threads
if PROCESS:
print("Killing all subprocesses")
PROCESS.terminate()
print("Killed all subprocesses")
# Always cleanup PID File if it exists
if PID_FILE.exists():
print(f"Removing PID file {PID_FILE}", flush=True)
PID_FILE.unlink()
# Run the bot with a token taken from an environment file.
def init():
global PROCESS
# Handle SIGTERM cleanly - Docker sends this ...
signal.signal(signal.SIGTERM, cleanup_pid_file)
if check_process_file(PID_FILE):
print(
"Process ID file already exists. Remove the file if you're sure another instance isn't running with the command: rm bot.pid"
)
sys.exit(1)
else:
with PID_FILE.open("w") as f:
f.write(str(os.getpid()))
print(f"Wrote PID to file {PID_FILE}")
f.close()
try:
if EnvService.get_health_service_enabled():
try:
PROCESS = HealthService().get_process()
except:
traceback.print_exc()
print("The health service failed to start.")
asyncio.get_event_loop().run_until_complete(main())
except KeyboardInterrupt:
print("Caught keyboard interrupt, killing and removing PID")
except Exception as e:
traceback.print_exc()
print(str(e))
print("Removing PID file")
finally:
cleanup_pid_file(None, None)
sys.exit(0)
if __name__ == "__main__":
sys.exit(init())