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refactoring (#26)

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Dmitry Afanasyev 2023-10-03 23:30:19 +03:00 committed by GitHub
parent 482e1fdda1
commit c401e1006c
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22 changed files with 423 additions and 395 deletions
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47
README.md
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@ -1,24 +1,26 @@
# Chat gpt bot # Chat gpt bot
Бот для запросов в chatgpt Telegram bot with proxy to chatgpt
Использует **Selenium** и API chatgpt для запросов
## Install & Update ## Install & Update
install service ### Install service
```bash ```bash
sudo cp scripts/gptchatbot.service /etc/systemd/system git clone https://github.com/Balshgit/gpt_chat_bot.git
cd gpt_chat_bot
sudo rsync -a --delete --progress ./* /opt/gpt_chat_bot/ --exclude .git
cd /opt/gpt_chat_bot
sudo cp ./bot_microservice/settings/.env.template ./bot_microservice/settings/.env
sudo cp ./scripts/gptchatbot.service /etc/systemd/system
sudo systemctl enable gptchatbot.service sudo systemctl enable gptchatbot.service
sudo systemctl start gptchatbot.service sudo systemctl start gptchatbot.service
sudo
``` ```
### Update ### Update service
```bash ```bash
git pull balshgit main git pull balshgit main
sudo rsync -a --delete --progress /home/balsh/Pycharmprojects/gpt_chat_bot/* /opt/gpt_chat_bot/ --exclude .git sudo rsync -a --delete --progress ./* /opt/gpt_chat_bot/ --exclude .git
cd /opt/gpt_chat_bot/ cd /opt/gpt_chat_bot/
docker pull balshdocker/freegpt docker pull balshdocker/freegpt
docker compose build docker compose build
@ -26,16 +28,6 @@ sudo systemctl stop gptchatbot.service
sudo systemctl start gptchatbot.service sudo systemctl start gptchatbot.service
``` ```
```bash
cd ~/PycharmProjects/chat_gpt_bot
sudo systemctl stop chat_gpt_bot.service
git pull balshgit main
sudo rsync -a --delete --progress ~/PycharmProjects/chat_gpt_bot/* /opt/chat_gpt_bot/ --exclude .git
sudo systemctl start chat_gpt_bot.service
```
## Local start ## Local start
### Bot: ### Bot:
@ -72,12 +64,7 @@ Open http://localhost:8858/chat/
```bash ```bash
cd bot_microservice cd bot_microservice
poetry run uvicorn --host 0.0.0.0 --factory run:create_app --port 1338 --reload gunicorn main:create_app --workers 10 --bind 0.0.0.0:8000 --worker-class uvicorn.workers.UvicornWorker --timeout 150 --max-requests 2000 --max-requests-jitter 400
```
```bash
cd bot_microservice
gunicorn main:create_app --workers 10 --bind 0.0.0.0:8083 --worker-class uvicorn.workers.UvicornWorker --timeout 150 --max-requests 2000 --max-requests-jitter 400
``` ```
@ -112,8 +99,10 @@ prod docs https://bot.mywistr.ru/gpt/api/docs/
## TODO ## TODO
- [] Добавить базу данных с моделями - [] add Database and models
- [] Добавить миграции через alembic - [] add alembic migrations
- [] Добавить веса моделей и их смену - [] add models priority and their rotation
- [] Добавить тестов - [] add more tests
- [] Добавить сентри - [] reformat conftest.py file
- [x] Add sentry
- [x] Add graylog integration and availability to log to file

2
bot_microservice/api/bot/controllers.py
View File

@ -8,7 +8,7 @@ router = APIRouter()
@router.post( @router.post(
f"/{settings.TELEGRAM_API_TOKEN}", f"/{settings.token_part}",
name="bot:process_bot_updates", name="bot:process_bot_updates",
response_class=Response, response_class=Response,
status_code=status.HTTP_202_ACCEPTED, status_code=status.HTTP_202_ACCEPTED,

13
bot_microservice/api/bot/deps.py Normal file
View File

@ -0,0 +1,13 @@
from fastapi import Depends
from starlette.requests import Request
from core.bot.services import ChatGptService
from settings.config import AppSettings
def get_settings(request: Request) -> AppSettings:
return request.app.state.settings
def get_chat_gpt_service(settings: AppSettings = Depends(get_settings)) -> ChatGptService:
return ChatGptService(settings.GPT_MODEL)

2
bot_microservice/api/exceptions.py Normal file
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@ -0,0 +1,2 @@
class BaseAPIException(Exception):
pass

15
bot_microservice/api/system/controllers.py
View File

@ -1,11 +1,12 @@
from fastapi import APIRouter from fastapi import APIRouter, Depends
from fastapi.responses import ORJSONResponse from fastapi.responses import ORJSONResponse
from starlette import status from starlette import status
from starlette.responses import Response from starlette.responses import Response
from api.bot.deps import get_chat_gpt_service
from api.exceptions import BaseAPIException
from constants import INVALID_GPT_REQUEST_MESSAGES from constants import INVALID_GPT_REQUEST_MESSAGES
from core.utils import ChatGptService from core.bot.services import ChatGptService
from settings.config import settings
router = APIRouter() router = APIRouter()
@ -30,8 +31,10 @@ async def healthcheck() -> ORJSONResponse:
status.HTTP_200_OK: {"description": "Successful Response"}, status.HTTP_200_OK: {"description": "Successful Response"},
}, },
) )
async def gpt_healthcheck(response: Response) -> Response: async def gpt_healthcheck(
chatgpt_service = ChatGptService(chat_gpt_model=settings.GPT_MODEL) response: Response,
chatgpt_service: ChatGptService = Depends(get_chat_gpt_service),
) -> Response:
data = chatgpt_service.build_request_data("Привет!") data = chatgpt_service.build_request_data("Привет!")
response.status_code = status.HTTP_200_OK response.status_code = status.HTTP_200_OK
try: try:
@ -41,7 +44,7 @@ async def gpt_healthcheck(response: Response) -> Response:
for message in INVALID_GPT_REQUEST_MESSAGES: for message in INVALID_GPT_REQUEST_MESSAGES:
if message in chatgpt_response.text: if message in chatgpt_response.text:
response.status_code = status.HTTP_500_INTERNAL_SERVER_ERROR response.status_code = status.HTTP_500_INTERNAL_SERVER_ERROR
except Exception: except BaseAPIException:
response.status_code = status.HTTP_500_INTERNAL_SERVER_ERROR response.status_code = status.HTTP_500_INTERNAL_SERVER_ERROR
return Response(status_code=response.status_code, content=None) return Response(status_code=response.status_code, content=None)

0
bot_microservice/core/bot/__init__.py Normal file
View File

0
bot_microservice/core/bot.py → bot_microservice/core/bot/app.py
View File

4
bot_microservice/core/commands.py → bot_microservice/core/bot/commands.py
View File

@ -7,8 +7,8 @@ from telegram import InlineKeyboardMarkup, Update
from telegram.ext import ContextTypes from telegram.ext import ContextTypes
from constants import BotEntryPoints from constants import BotEntryPoints
from core.keyboards import main_keyboard from core.bot.keyboards import main_keyboard
from core.utils import ChatGptService, SpeechToTextService from core.bot.services import ChatGptService, SpeechToTextService
from settings.config import settings from settings.config import settings

2
bot_microservice/core/handlers.py → bot_microservice/core/bot/handlers.py
View File

@ -10,7 +10,7 @@ from telegram.ext import (
) )
from constants import BotEntryPoints, BotStagesEnum from constants import BotEntryPoints, BotStagesEnum
from core.commands import ( from core.bot.commands import (
about_bot, about_bot,
about_me, about_me,
ask_question, ask_question,

0
bot_microservice/core/keyboards.py → bot_microservice/core/bot/keyboards.py
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138
bot_microservice/core/bot/services.py Normal file
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@ -0,0 +1,138 @@
import os
import random
import subprocess # noqa
from concurrent.futures.thread import ThreadPoolExecutor
from typing import Any
from uuid import uuid4
import httpx
from httpx import AsyncClient, AsyncHTTPTransport, Response
from loguru import logger
from pydub import AudioSegment
from speech_recognition import (
AudioFile,
Recognizer,
UnknownValueError as SpeechRecognizerError,
)
from constants import (
AUDIO_SEGMENT_DURATION,
CHAT_GPT_BASE_URI,
INVALID_GPT_REQUEST_MESSAGES,
)
from settings.config import settings
class SpeechToTextService:
def __init__(self, filename: str) -> None:
self.executor = ThreadPoolExecutor()
self.filename = filename
self.recognizer = Recognizer()
self.recognizer.energy_threshold = 50
self.text_parts: dict[int, str] = {}
self.text_recognised = False
def get_text_from_audio(self) -> None:
self.executor.submit(self.worker)
def worker(self) -> Any:
self._convert_file_to_wav()
self._convert_audio_to_text()
def _convert_audio_to_text(self) -> None:
wav_filename = f"{self.filename}.wav"
speech = AudioSegment.from_wav(wav_filename)
speech_duration = len(speech)
pieces = speech_duration // AUDIO_SEGMENT_DURATION + 1
ending = speech_duration % AUDIO_SEGMENT_DURATION
for i in range(pieces):
if i == 0 and pieces == 1:
sound_segment = speech[0:ending]
elif i == 0:
sound_segment = speech[0 : (i + 1) * AUDIO_SEGMENT_DURATION]
elif i == (pieces - 1):
sound_segment = speech[i * AUDIO_SEGMENT_DURATION - 250 : i * AUDIO_SEGMENT_DURATION + ending]
else:
sound_segment = speech[i * AUDIO_SEGMENT_DURATION - 250 : (i + 1) * AUDIO_SEGMENT_DURATION]
self.text_parts[i] = self._recognize_by_google(wav_filename, sound_segment)
self.text_recognised = True
# clean temp voice message main files
try:
os.remove(wav_filename)
os.remove(self.filename)
except FileNotFoundError as error:
logger.error("error temps files not deleted", error=error, filenames=[self.filename, self.filename])
def _convert_file_to_wav(self) -> None:
new_filename = self.filename + ".wav"
cmd = ["ffmpeg", "-loglevel", "quiet", "-i", self.filename, "-vn", new_filename]
try:
subprocess.run(args=cmd) # noqa: S603
logger.info("file has been converted to wav", filename=new_filename)
except Exception as error:
logger.error("cant convert voice", error=error, filename=self.filename)
def _recognize_by_google(self, filename: str, sound_segment: AudioSegment) -> str:
tmp_filename = f"{filename}_tmp_part"
sound_segment.export(tmp_filename, format="wav")
with AudioFile(tmp_filename) as source:
audio_text = self.recognizer.listen(source)
try:
text = self.recognizer.recognize_google(audio_text, language="ru-RU")
os.remove(tmp_filename)
return text
except SpeechRecognizerError as error:
os.remove(tmp_filename)
logger.error("error recognizing text with google", error=error)
raise error
class ChatGptService:
def __init__(self, chat_gpt_model: str) -> None:
self.chat_gpt_model = chat_gpt_model
async def request_to_chatgpt(self, question: str | None) -> str:
question = question or "Привет!"
chat_gpt_request = self.build_request_data(question)
try:
response = await self.do_request(chat_gpt_request)
status = response.status_code
for message in INVALID_GPT_REQUEST_MESSAGES:
if message in response.text:
message = f"{message}: {settings.GPT_MODEL}"
logger.info(message, data=chat_gpt_request)
return message
if status != httpx.codes.OK:
logger.info(f"got response status: {status} from chat api", data=chat_gpt_request)
return "Что-то пошло не так, попробуйте еще раз или обратитесь к администратору"
return response.text
except Exception as error:
logger.error("error get data from chat api", error=error)
return "Вообще всё сломалось :("
@staticmethod
async def do_request(data: dict[str, Any]) -> Response:
transport = AsyncHTTPTransport(retries=3)
async with AsyncClient(base_url=settings.GPT_BASE_HOST, transport=transport, timeout=50) as client:
return await client.post(CHAT_GPT_BASE_URI, json=data, timeout=50)
def build_request_data(self, question: str) -> dict[str, Any]:
return {
"conversation_id": str(uuid4()),
"action": "_ask",
"model": self.chat_gpt_model,
"jailbreak": "default",
"meta": {
"id": random.randint(10**18, 10**19 - 1), # noqa: S311
"content": {
"conversation": [],
"internet_access": False,
"content_type": "text",
"parts": [{"content": question, "role": "user"}],
},
},
}

137
bot_microservice/core/utils.py
View File

@ -1,28 +1,6 @@
import os
import random
import subprocess # noqa
from concurrent.futures.thread import ThreadPoolExecutor
from datetime import datetime, timedelta from datetime import datetime, timedelta
from functools import lru_cache, wraps from functools import lru_cache, wraps
from typing import Any from typing import Any
from uuid import uuid4
import httpx
from httpx import AsyncClient, AsyncHTTPTransport, Response
from loguru import logger
from pydub import AudioSegment
from speech_recognition import (
AudioFile,
Recognizer,
UnknownValueError as SpeechRecognizerError,
)
from constants import (
AUDIO_SEGMENT_DURATION,
CHAT_GPT_BASE_URI,
INVALID_GPT_REQUEST_MESSAGES,
)
from settings.config import settings
def timed_cache(**timedelta_kwargs: Any) -> Any: def timed_cache(**timedelta_kwargs: Any) -> Any:
@ -44,118 +22,3 @@ def timed_cache(**timedelta_kwargs: Any) -> Any:
return _wrapped return _wrapped
return _wrapper return _wrapper
class SpeechToTextService:
def __init__(self, filename: str) -> None:
self.executor = ThreadPoolExecutor()
self.filename = filename
self.recognizer = Recognizer()
self.recognizer.energy_threshold = 50
self.text_parts: dict[int, str] = {}
self.text_recognised = False
def get_text_from_audio(self) -> None:
self.executor.submit(self.worker)
def worker(self) -> Any:
self._convert_file_to_wav()
self._convert_audio_to_text()
def _convert_audio_to_text(self) -> None:
wav_filename = f"{self.filename}.wav"
speech = AudioSegment.from_wav(wav_filename)
speech_duration = len(speech)
pieces = speech_duration // AUDIO_SEGMENT_DURATION + 1
ending = speech_duration % AUDIO_SEGMENT_DURATION
for i in range(pieces):
if i == 0 and pieces == 1:
sound_segment = speech[0:ending]
elif i == 0:
sound_segment = speech[0 : (i + 1) * AUDIO_SEGMENT_DURATION]
elif i == (pieces - 1):
sound_segment = speech[i * AUDIO_SEGMENT_DURATION - 250 : i * AUDIO_SEGMENT_DURATION + ending]
else:
sound_segment = speech[i * AUDIO_SEGMENT_DURATION - 250 : (i + 1) * AUDIO_SEGMENT_DURATION]
self.text_parts[i] = self._recognize_by_google(wav_filename, sound_segment)
self.text_recognised = True
# clean temp voice message main files
try:
os.remove(wav_filename)
os.remove(self.filename)
except FileNotFoundError as error:
logger.error("error temps files not deleted", error=error, filenames=[self.filename, self.filename])
def _convert_file_to_wav(self) -> None:
new_filename = self.filename + ".wav"
cmd = ["ffmpeg", "-loglevel", "quiet", "-i", self.filename, "-vn", new_filename]
try:
subprocess.run(args=cmd) # noqa: S603
logger.info("file has been converted to wav", filename=new_filename)
except Exception as error:
logger.error("cant convert voice", error=error, filename=self.filename)
def _recognize_by_google(self, filename: str, sound_segment: AudioSegment) -> str:
tmp_filename = f"{filename}_tmp_part"
sound_segment.export(tmp_filename, format="wav")
with AudioFile(tmp_filename) as source:
audio_text = self.recognizer.listen(source)
try:
text = self.recognizer.recognize_google(audio_text, language="ru-RU")
os.remove(tmp_filename)
return text
except SpeechRecognizerError as error:
os.remove(tmp_filename)
logger.error("error recognizing text with google", error=error)
raise error
class ChatGptService:
def __init__(self, chat_gpt_model: str) -> None:
self.chat_gpt_model = chat_gpt_model
async def request_to_chatgpt(self, question: str | None) -> str:
question = question or "Привет!"
chat_gpt_request = self.build_request_data(question)
try:
response = await self.do_request(chat_gpt_request)
status = response.status_code
for message in INVALID_GPT_REQUEST_MESSAGES:
if message in response.text:
message = f"{message}: {settings.GPT_MODEL}"
logger.info(message, data=chat_gpt_request)
return message
if status != httpx.codes.OK:
logger.info(f"got response status: {status} from chat api", data=chat_gpt_request)
return "Что-то пошло не так, попробуйте еще раз или обратитесь к администратору"
return response.text
except Exception as error:
logger.error("error get data from chat api", error=error)
return "Вообще всё сломалось :("
@staticmethod
async def do_request(data: dict[str, Any]) -> Response:
transport = AsyncHTTPTransport(retries=3)
async with AsyncClient(base_url=settings.GPT_BASE_HOST, transport=transport, timeout=50) as client:
return await client.post(CHAT_GPT_BASE_URI, json=data, timeout=50)
def build_request_data(self, question: str) -> dict[str, Any]:
return {
"conversation_id": str(uuid4()),
"action": "_ask",
"model": self.chat_gpt_model,
"jailbreak": "default",
"meta": {
"id": random.randint(10**18, 10**19 - 1), # noqa: S311
"content": {
"conversation": [],
"internet_access": False,
"content_type": "text",
"parts": [{"content": question, "role": "user"}],
},
},
}

0
bot_microservice/infra/__init__.py Normal file
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11
bot_microservice/core/logging.py → bot_microservice/infra/logging_conf.py
View File

@ -31,10 +31,13 @@ class InterceptHandler(logging.Handler):
frame = cast(FrameType, frame.f_back) frame = cast(FrameType, frame.f_back)
depth += 1 depth += 1
logger.opt(depth=depth, exception=record.exc_info).log( logger.opt(depth=depth, exception=record.exc_info).log(level, self._scrap_sensitive_info(record))
level,
record.getMessage().replace(settings.TELEGRAM_API_TOKEN, "TELEGRAM_API_TOKEN".center(24, "*")), @staticmethod
) def _scrap_sensitive_info(record: logging.LogRecord) -> str:
message = record.getMessage()
message.replace(settings.TELEGRAM_API_TOKEN, "TELEGRAM_API_TOKEN".center(24, "*"))
return message
def configure_logging( def configure_logging(

6
bot_microservice/main.py
View File

@ -6,9 +6,9 @@ from fastapi import FastAPI
from fastapi.responses import UJSONResponse from fastapi.responses import UJSONResponse
from constants import LogLevelEnum from constants import LogLevelEnum
from core.bot import BotApplication, BotQueue from core.bot.app import BotApplication, BotQueue
from core.handlers import bot_event_handlers from core.bot.handlers import bot_event_handlers
from core.logging import configure_logging from infra.logging_conf import configure_logging
from routers import api_router from routers import api_router
from settings.config import AppSettings, get_settings from settings.config import AppSettings, get_settings

9
bot_microservice/settings/config.py
View File

@ -1,4 +1,4 @@
from functools import cached_property from functools import cached_property, lru_cache
from os import environ from os import environ
from pathlib import Path from pathlib import Path
from typing import Any from typing import Any
@ -83,14 +83,19 @@ class AppSettings(SentrySettings, BaseSettings):
return "/" + "/".join([self.URL_PREFIX.strip("/"), API_PREFIX.strip("/")]) return "/" + "/".join([self.URL_PREFIX.strip("/"), API_PREFIX.strip("/")])
return API_PREFIX return API_PREFIX
@cached_property
def token_part(self) -> str:
return self.TELEGRAM_API_TOKEN[15:30]
@cached_property @cached_property
def bot_webhook_url(self) -> str: def bot_webhook_url(self) -> str:
return "/".join([self.api_prefix, self.TELEGRAM_API_TOKEN]) return "/".join([self.api_prefix, self.token_part])
class Config: class Config:
case_sensitive = True case_sensitive = True
@lru_cache(maxsize=None)
def get_settings() -> AppSettings: def get_settings() -> AppSettings:
return AppSettings() return AppSettings()

4
bot_microservice/tests/integration/bot/test_bot_updates.py
View File

@ -11,7 +11,7 @@ from httpx import AsyncClient, Response
from telegram import InlineKeyboardButton, InlineKeyboardMarkup, Update from telegram import InlineKeyboardButton, InlineKeyboardMarkup, Update
from constants import BotStagesEnum from constants import BotStagesEnum
from core.bot import BotApplication, BotQueue from core.bot.app import BotApplication, BotQueue
from main import Application from main import Application
from settings.config import AppSettings, settings from settings.config import AppSettings, settings
from tests.integration.bot.networking import MockedRequest from tests.integration.bot.networking import MockedRequest
@ -37,7 +37,7 @@ async def test_bot_webhook_endpoint(
main_application: Application, main_application: Application,
) -> None: ) -> None:
bot_update = BotUpdateFactory(message=BotMessageFactory.create_instance(text="/help")) bot_update = BotUpdateFactory(message=BotMessageFactory.create_instance(text="/help"))
response = await rest_client.post(url="/api/123456789:AABBCCDDEEFFaabbccddeeff-1234567890", json=bot_update) response = await rest_client.post(url="/api/CDDEEFFaabbccdd", json=bot_update)
assert response.status_code == 202 assert response.status_code == 202
update = await main_application.fastapi_app.state._state["queue"].queue.get() update = await main_application.fastapi_app.state._state["queue"].queue.get()
update = update.to_dict() update = update.to_dict()

4
bot_microservice/tests/integration/conftest.py
View File

@ -14,8 +14,8 @@ from pytest_asyncio.plugin import SubRequest
from telegram import Bot, User from telegram import Bot, User
from telegram.ext import Application, ApplicationBuilder, Defaults, ExtBot from telegram.ext import Application, ApplicationBuilder, Defaults, ExtBot
from core.bot import BotApplication from core.bot.app import BotApplication
from core.handlers import bot_event_handlers from core.bot.handlers import bot_event_handlers
from main import Application as AppApplication from main import Application as AppApplication
from settings.config import AppSettings, get_settings from settings.config import AppSettings, get_settings
from tests.integration.bot.networking import NonchalantHttpxRequest from tests.integration.bot.networking import NonchalantHttpxRequest

0
bot_microservice/tests/integration/system/__init__.py Normal file
View File

3
bot_microservice/tests/integration/test_system.py → bot_microservice/tests/integration/system/test_system.py
View File

@ -3,6 +3,7 @@ import pytest
from faker import Faker from faker import Faker
from httpx import AsyncClient, Response from httpx import AsyncClient, Response
from api.exceptions import BaseAPIException
from settings.config import AppSettings from settings.config import AppSettings
from tests.integration.utils import mocked_ask_question_api from tests.integration.utils import mocked_ask_question_api
@ -50,7 +51,7 @@ async def test_bot_healthcheck_not_ok(
) -> None: ) -> None:
with mocked_ask_question_api( with mocked_ask_question_api(
host=test_settings.GPT_BASE_HOST, host=test_settings.GPT_BASE_HOST,
side_effect=Exception(), side_effect=BaseAPIException(),
): ):
response = await rest_client.get("/api/bot-healthcheck") response = await rest_client.get("/api/bot-healthcheck")
assert response.status_code == httpx.codes.INTERNAL_SERVER_ERROR assert response.status_code == httpx.codes.INTERNAL_SERVER_ERROR

416
poetry.lock generated
View File

@ -296,86 +296,101 @@ files = [
[[package]] [[package]]
name = "charset-normalizer" name = "charset-normalizer"
version = "3.2.0" version = "3.3.0"
description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
optional = false optional = false
python-versions = ">=3.7.0" python-versions = ">=3.7.0"
files = [ files = [
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@ -1262,13 +1277,13 @@ requirements-deprecated-finder = ["pip-api", "pipreqs"]
[[package]] [[package]]
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version = "0.19.0" version = "0.19.1"
description = "An autocompletion tool for Python that can be used for text editors." description = "An autocompletion tool for Python that can be used for text editors."
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@ -1277,7 +1292,7 @@ parso = ">=0.8.3,<0.9.0"
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{file = "ruamel.yaml.clib-0.2.7.tar.gz", hash = "sha256:1f08fd5a2bea9c4180db71678e850b995d2a5f4537be0e94557668cf0f5f9497"},
] ]
[[package]] [[package]]
@ -2828,13 +2836,13 @@ whisper-api = ["openai"]
[[package]] [[package]]
name = "stack-data" name = "stack-data"
version = "0.6.2" version = "0.6.3"
description = "Extract data from python stack frames and tracebacks for informative displays" description = "Extract data from python stack frames and tracebacks for informative displays"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = [
{file = "stack_data-0.6.2-py3-none-any.whl", hash = "sha256:cbb2a53eb64e5785878201a97ed7c7b94883f48b87bfb0bbe8b623c74679e4a8"}, {file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
{file = "stack_data-0.6.2.tar.gz", hash = "sha256:32d2dd0376772d01b6cb9fc996f3c8b57a357089dec328ed4b6553d037eaf815"}, {file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
] ]
[package.dependencies] [package.dependencies]
@ -2945,13 +2953,13 @@ files = [
[[package]] [[package]]
name = "traitlets" name = "traitlets"
version = "5.10.1" version = "5.11.1"
description = "Traitlets Python configuration system" description = "Traitlets Python configuration system"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "traitlets-5.10.1-py3-none-any.whl", hash = "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116"}, {file = "traitlets-5.11.1-py3-none-any.whl", hash = "sha256:2351372ff87fc912c483d1cb6aa466573d5f44eb4ed9e602c8d0ac012c9daece"},
{file = "traitlets-5.10.1.tar.gz", hash = "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"}, {file = "traitlets-5.11.1.tar.gz", hash = "sha256:813584bb569ac4a098c64ca494e8a3bbfef42e37c36a6132bca554aabd111480"},
] ]
[package.extras] [package.extras]
@ -3021,13 +3029,13 @@ devenv = ["black", "check-manifest", "flake8", "pyroma", "pytest (>=4.3)", "pyte
[[package]] [[package]]
name = "urllib3" name = "urllib3"
version = "2.0.5" version = "2.0.6"
description = "HTTP library with thread-safe connection pooling, file post, and more." description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "urllib3-2.0.5-py3-none-any.whl", hash = "sha256:ef16afa8ba34a1f989db38e1dbbe0c302e4289a47856990d0682e374563ce35e"}, {file = "urllib3-2.0.6-py3-none-any.whl", hash = "sha256:7a7c7003b000adf9e7ca2a377c9688bbc54ed41b985789ed576570342a375cd2"},
{file = "urllib3-2.0.5.tar.gz", hash = "sha256:13abf37382ea2ce6fb744d4dad67838eec857c9f4f57009891805e0b5e123594"}, {file = "urllib3-2.0.6.tar.gz", hash = "sha256:b19e1a85d206b56d7df1d5e683df4a7725252a964e3993648dd0fb5a1c157564"},
] ]
[package.extras] [package.extras]
@ -3056,13 +3064,13 @@ standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)",
[[package]] [[package]]
name = "wcwidth" name = "wcwidth"
version = "0.2.7" version = "0.2.8"
description = "Measures the displayed width of unicode strings in a terminal" description = "Measures the displayed width of unicode strings in a terminal"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = [
{file = "wcwidth-0.2.7-py2.py3-none-any.whl", hash = "sha256:fabf3e32999d9b0dab7d19d845149f326f04fe29bac67709ee071dbd92640a36"}, {file = "wcwidth-0.2.8-py2.py3-none-any.whl", hash = "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704"},
{file = "wcwidth-0.2.7.tar.gz", hash = "sha256:1b6d30a98ddd5ce9bbdb33658191fd2423fc9da203fe3ef1855407dcb7ee4e26"}, {file = "wcwidth-0.2.8.tar.gz", hash = "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"},
] ]
[[package]] [[package]]

5
pyproject.toml
View File

@ -91,6 +91,7 @@ flake8-mock = "^0.4"
flake8-comments = "^0.1" flake8-comments = "^0.1"
flake8-newspaper-style = "^0.4" flake8-newspaper-style = "^0.4"
Flake8-pyproject = "^1.2.3" Flake8-pyproject = "^1.2.3"
[tool.flake8] [tool.flake8]
inline-quotes = "double" inline-quotes = "double"
max-line-length = 120 max-line-length = 120
@ -109,7 +110,9 @@ ignore = [
# use isort instead # use isort instead
"I", "I",
# use black style # use black style
"E203", "W", "G004", "VNE003" "E203", "W", "G004", "VNE003",
# user FastAPI Depends in function calls
"B008"
] ]
per-file-ignores = [ per-file-ignores = [
# too complex queries # too complex queries