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1 year ago
import os
import asyncio
import signal
import sys
import threading
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import traceback
Add Dockerfile + concept of a DATA_DIR - Add a Dockerfile so people can run this bot in a docker container - Stuck with recommendation of running with python3.9 for now - Will later test with 3.11 + supply fixes if I get this working ... - Added a DATA_DIR env param to use to choose the directory to write data we want persistent across docker container restarts to be written to - We default to CWD like the code does today - we just explicitly pass it to functions / classes Test: - `docker build -t gpt3discord .` ``` crl-m1:GPT3Discord cooper$ docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE gpt3discord latest 6d2832af2450 69 seconds ago 356MB ``` - Try run it ... I would guess if I had correct tokens things would work ... - To do so I plan to bind mount over /bin/.env on my docker container when I run this ... ``` crl-m1:GPT3Discord cooper$ docker run gpt3discord None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Downloading: 100%|██████████| 1.04M/1.04M [00:02<00:00, 516kB/s] Downloading: 100%|██████████| 456k/456k [00:01<00:00, 319kB/s] Downloading: 100%|██████████| 1.36M/1.36M [00:03<00:00, 443kB/s] Downloading: 100%|██████████| 665/665 [00:00<00:00, 740kB/s] Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 413, in static_login data = await self.request(Route("GET", "/users/@me")) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 366, in request raise HTTPException(response, data) discord.errors.HTTPException: 401 Unauthorized (error code: 0): 401: Unauthorized The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/bin/gpt3discord", line 79, in <module> asyncio.get_event_loop().run_until_complete(main()) File "/usr/local/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete return future.result() File "/bin/gpt3discord", line 63, in main await bot.start(os.getenv("DISCORD_TOKEN")) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 658, in start await self.login(token) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 514, in login data = await self.http.static_login(token.strip()) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 417, in static_login raise LoginFailure("Improper token has been passed.") from exc discord.errors.LoginFailure: Improper token has been passed. Wrote PID to file the file bot.pid The debug channel and guild IDs are 755420092027633774 and 907974109084942396 Improper token has been passed. Removing PID file Unclosed client session client_session: <aiohttp.client.ClientSession object at 0xffff721a2dc0> Unclosed connector connections: ['[(<aiohttp.client_proto.ResponseHandler object at 0xffff718fe0a0>, 170230.336548951)]'] connector: <aiohttp.connector.TCPConnector object at 0xffff721a2fd0> ```
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from pathlib import Path
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from platform import system
import discord
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import pinecone
from pycord.multicog import apply_multicog
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from cogs.search_service_cog import SearchService
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from cogs.text_service_cog import GPT3ComCon
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from cogs.image_service_cog import DrawDallEService
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from cogs.prompt_optimizer_cog import ImgPromptOptimizer
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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
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from services.pinecone_service import PineconeService
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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
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from models.openai_model import Model
__version__ = "11.1.3"
PID_FILE = Path("bot.pid")
PROCESS = None
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if sys.platform == "win32":
separator = "\\"
else:
separator = "/"
#
# The pinecone service is used to store and retrieve conversation embeddings.
#
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try:
PINECONE_TOKEN = os.getenv("PINECONE_TOKEN")
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except Exception:
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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(
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PINECONE_INDEX,
dimension=1536,
metric="dotproduct",
pod_type="s1",
)
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pinecone_service = PineconeService(pinecone.Index(PINECONE_INDEX))
print("Got the pinecone service")
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#
# 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))
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#
# Settings for the bot
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#
activity = discord.Activity(
type=discord.ActivityType.watching, name="for /help /gpt, and more!"
)
bot = discord.Bot(intents=discord.Intents.all(), command_prefix="!", activity=activity)
Add Dockerfile + concept of a DATA_DIR - Add a Dockerfile so people can run this bot in a docker container - Stuck with recommendation of running with python3.9 for now - Will later test with 3.11 + supply fixes if I get this working ... - Added a DATA_DIR env param to use to choose the directory to write data we want persistent across docker container restarts to be written to - We default to CWD like the code does today - we just explicitly pass it to functions / classes Test: - `docker build -t gpt3discord .` ``` crl-m1:GPT3Discord cooper$ docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE gpt3discord latest 6d2832af2450 69 seconds ago 356MB ``` - Try run it ... I would guess if I had correct tokens things would work ... - To do so I plan to bind mount over /bin/.env on my docker container when I run this ... ``` crl-m1:GPT3Discord cooper$ docker run gpt3discord None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Downloading: 100%|██████████| 1.04M/1.04M [00:02<00:00, 516kB/s] Downloading: 100%|██████████| 456k/456k [00:01<00:00, 319kB/s] Downloading: 100%|██████████| 1.36M/1.36M [00:03<00:00, 443kB/s] Downloading: 100%|██████████| 665/665 [00:00<00:00, 740kB/s] Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 413, in static_login data = await self.request(Route("GET", "/users/@me")) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 366, in request raise HTTPException(response, data) discord.errors.HTTPException: 401 Unauthorized (error code: 0): 401: Unauthorized The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/bin/gpt3discord", line 79, in <module> asyncio.get_event_loop().run_until_complete(main()) File "/usr/local/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete return future.result() File "/bin/gpt3discord", line 63, in main await bot.start(os.getenv("DISCORD_TOKEN")) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 658, in start await self.login(token) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 514, in login data = await self.http.static_login(token.strip()) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 417, in static_login raise LoginFailure("Improper token has been passed.") from exc discord.errors.LoginFailure: Improper token has been passed. Wrote PID to file the file bot.pid The debug channel and guild IDs are 755420092027633774 and 907974109084942396 Improper token has been passed. Removing PID file Unclosed client session client_session: <aiohttp.client.ClientSession object at 0xffff721a2dc0> Unclosed connector connections: ['[(<aiohttp.client_proto.ResponseHandler object at 0xffff718fe0a0>, 170230.336548951)]'] connector: <aiohttp.connector.TCPConnector object at 0xffff721a2fd0> ```
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usage_service = UsageService(Path(os.environ.get("DATA_DIR", os.getcwd())))
model = Model(usage_service)
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#
# 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"))
Add Dockerfile + concept of a DATA_DIR - Add a Dockerfile so people can run this bot in a docker container - Stuck with recommendation of running with python3.9 for now - Will later test with 3.11 + supply fixes if I get this working ... - Added a DATA_DIR env param to use to choose the directory to write data we want persistent across docker container restarts to be written to - We default to CWD like the code does today - we just explicitly pass it to functions / classes Test: - `docker build -t gpt3discord .` ``` crl-m1:GPT3Discord cooper$ docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE gpt3discord latest 6d2832af2450 69 seconds ago 356MB ``` - Try run it ... I would guess if I had correct tokens things would work ... - To do so I plan to bind mount over /bin/.env on my docker container when I run this ... ``` crl-m1:GPT3Discord cooper$ docker run gpt3discord None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Downloading: 100%|██████████| 1.04M/1.04M [00:02<00:00, 516kB/s] Downloading: 100%|██████████| 456k/456k [00:01<00:00, 319kB/s] Downloading: 100%|██████████| 1.36M/1.36M [00:03<00:00, 443kB/s] Downloading: 100%|██████████| 665/665 [00:00<00:00, 740kB/s] Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 413, in static_login data = await self.request(Route("GET", "/users/@me")) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 366, in request raise HTTPException(response, data) discord.errors.HTTPException: 401 Unauthorized (error code: 0): 401: Unauthorized The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/bin/gpt3discord", line 79, in <module> asyncio.get_event_loop().run_until_complete(main()) File "/usr/local/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete return future.result() File "/bin/gpt3discord", line 63, in main await bot.start(os.getenv("DISCORD_TOKEN")) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 658, in start await self.login(token) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 514, in login data = await self.http.static_login(token.strip()) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 417, in static_login raise LoginFailure("Improper token has been passed.") from exc discord.errors.LoginFailure: Improper token has been passed. Wrote PID to file the file bot.pid The debug channel and guild IDs are 755420092027633774 and 907974109084942396 Improper token has been passed. Removing PID file Unclosed client session client_session: <aiohttp.client.ClientSession object at 0xffff721a2dc0> Unclosed connector connections: ['[(<aiohttp.client_proto.ResponseHandler object at 0xffff718fe0a0>, 170230.336548951)]'] connector: <aiohttp.connector.TCPConnector object at 0xffff721a2fd0> ```
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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,
Add Dockerfile + concept of a DATA_DIR - Add a Dockerfile so people can run this bot in a docker container - Stuck with recommendation of running with python3.9 for now - Will later test with 3.11 + supply fixes if I get this working ... - Added a DATA_DIR env param to use to choose the directory to write data we want persistent across docker container restarts to be written to - We default to CWD like the code does today - we just explicitly pass it to functions / classes Test: - `docker build -t gpt3discord .` ``` crl-m1:GPT3Discord cooper$ docker image ls REPOSITORY TAG IMAGE ID CREATED SIZE gpt3discord latest 6d2832af2450 69 seconds ago 356MB ``` - Try run it ... I would guess if I had correct tokens things would work ... - To do so I plan to bind mount over /bin/.env on my docker container when I run this ... ``` crl-m1:GPT3Discord cooper$ docker run gpt3discord None of PyTorch, TensorFlow >= 2.0, or Flax have been found. Models won't be available and only tokenizers, configuration and file/data utilities can be used. Downloading: 100%|██████████| 1.04M/1.04M [00:02<00:00, 516kB/s] Downloading: 100%|██████████| 456k/456k [00:01<00:00, 319kB/s] Downloading: 100%|██████████| 1.36M/1.36M [00:03<00:00, 443kB/s] Downloading: 100%|██████████| 665/665 [00:00<00:00, 740kB/s] Traceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 413, in static_login data = await self.request(Route("GET", "/users/@me")) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 366, in request raise HTTPException(response, data) discord.errors.HTTPException: 401 Unauthorized (error code: 0): 401: Unauthorized The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/bin/gpt3discord", line 79, in <module> asyncio.get_event_loop().run_until_complete(main()) File "/usr/local/lib/python3.9/asyncio/base_events.py", line 647, in run_until_complete return future.result() File "/bin/gpt3discord", line 63, in main await bot.start(os.getenv("DISCORD_TOKEN")) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 658, in start await self.login(token) File "/usr/local/lib/python3.9/site-packages/discord/client.py", line 514, in login data = await self.http.static_login(token.strip()) File "/usr/local/lib/python3.9/site-packages/discord/http.py", line 417, in static_login raise LoginFailure("Improper token has been passed.") from exc discord.errors.LoginFailure: Improper token has been passed. Wrote PID to file the file bot.pid The debug channel and guild IDs are 755420092027633774 and 907974109084942396 Improper token has been passed. Removing PID file Unclosed client session client_session: <aiohttp.client.ClientSession object at 0xffff721a2dc0> Unclosed connector connections: ['[(<aiohttp.client_proto.ResponseHandler object at 0xffff718fe0a0>, 170230.336548951)]'] connector: <aiohttp.connector.TCPConnector object at 0xffff721a2fd0> ```
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data_path,
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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(
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bot,
usage_service,
)
)
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))
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print("The Search 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"),
)
)
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:
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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())