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Merge pull request #61 from ijaric/fix/#60_review

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feat: [#60] review fix
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Григорич 2023-10-16 01:46:41 +03:00 committed by GitHub
commit cf038ed269
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26 changed files with 155 additions and 155 deletions
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51
.env.example Normal file
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@ -0,0 +1,51 @@
# API
POSTGRES_DRIVER=postgresql+asyncpg
POSTGRES_HOST=postgres
POSTGRES_PORT=5432
POSTGRES_USER=app
POSTGRES_PASSWORD=123qwe
POSTGRES_DB_NAME=movies_database
NGINX_PORT=80
API_HOST=0.0.0.0
API_PORT=8000
API_PROTOCOL=http
API_URL=api
JWT_SECRET_KEY=v9LctjUWwol4XbvczPiLFMDtZ8aal7mm
JWT_ALGORITHM=HS256
APP_RELOAD=True
VOICE_AVAILABLE_FORMATS=mp3,ogg,wav,oga
VOICE_MAX_INPUT_SIZE=5120
VOICE_MAX_INPUT_SECONDS=30
OPENAI_API_KEY=sk-123456789
OPENAI_STT_MODEL=whisper-1
PROXY_HOST=213.166.72.28
PROXY_PORT=9185
PROXY_USER=RUnj7n
PROXY_PASSWORD=GPTWgk
PROXY_ENABLE=True
TTS_YANDEX_API_KEY=SfdSDFSDFSDF
TTS_YANDEX_AUDIO_FORMAT=oggopus
TTS_YANDEX_SAMPLE_RATE_HERTZ=48000
TTS_ELEVEN_LABS_API_KEY=SDFSFsdfsdf
TTS_ELEVEN_LABS_DEFAULT_VOICE_ID=EXAVITQu4vr4xnSDxMaL
# TGBOT
BOT_CONTAINER_NAME=bot_container_name
BOT_IMAGE_NAME=botimage_name
BOT_NAME=mybotname
BOT_TOKEN=1234567890:DSFsdfsdfsdfSDf
BOT_ADMINS=1234567890
REDIS_HOST=redis
REDIS_PORT=6379

7
README.md
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@ -29,7 +29,7 @@
1. Скачать [файл базы данных](https://disk.yandex.ru/d/ZAKDDg8lP9DHBQ) с `embeddings` и поместить её по пути `src/assistant/data/dump.sql`.
2. В директории `src/assistant` файл `.env.example` переименовать в `.env` и заполнить переменные окружения.
2. В файл `.env.example` переименовать в `.env` и заполнить переменные окружения.
Пример заполнения переменных окружения:
```
@ -68,12 +68,7 @@ TTS_YANDEX_SAMPLE_RATE_HERTZ=48000 # Частота дискретизации
TTS_ELEVEN_LABS_API_KEY=1234567890 # API-ключ ElevenLabs
TTS_ELEVEN_LABS_DEFAULT_VOICE_ID=EXAVITQu4vr4xnSDxMaL # ID голоса по умолчанию
```
3. В директории `src/bot_aiogram` файл `.env.example` переименовать в `.env` и заполнить переменные окружения.
Пример заполнения переменных окружения:
```
BOT_CONTAINER_NAME=bot_container_name # Название контейнера
BOT_IMAGE_NAME=botimage_name # Название образа
BOT_NAME=mybotname # Название бота

20
docker-compose.yml
View File

@ -7,25 +7,24 @@ services:
environment:
POSTGRES_USER: ${POSTGRES_USER}
POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
POSTGRES_DB: ${POSTGRES_NAME}
POSTGRES_DB: ${POSTGRES_DB_NAME}
env_file:
- ./src/assistant/.env
- .env
expose:
- "${POSTGRES_PORT}"
volumes:
- - ./src/assistant/dump.sql:/docker-entrypoint-initdb.d/dump.sql:ro
- ./src/assistant/data/dump.sql:/docker-entrypoint-initdb.d/dump.sql:ro
networks:
- backend_network
api:
build:
context: .
context: ./src/assistant/
container_name: api
image: fastapi_app
restart: always
entrypoint: ["/opt/app/entrypoint.sh"]
env_file:
- ./src/assistant/.env
- .env
expose:
- "${API_PORT}"
depends_on:
@ -52,20 +51,21 @@ services:
image: "${BOT_IMAGE_NAME:-tg_bot-image}"
container_name: "${BOT_CONTAINER_NAME:-tg_bot-container}"
build:
context: ./src/bot_aiogram/Dockerfile
context: ./src/bot_aiogram/
restart: always
env_file:
- ./src/bot_aiogram/.env
- .env
networks:
- backend_network
- api_network
depends_on: api
depends_on:
- api
redis:
image: redis:7.0.11
restart: always
env_file:
- ./src/bot_aiogram/.env
- .env
ports:
- "127.0.0.1:${REDIS_PORT}:${REDIS_PORT}"
command: redis-server --bind 0.0.0.0 --appendonly yes

5
src/assistant/Dockerfile
View File

@ -18,6 +18,11 @@ RUN pip install poetry \
COPY bin /opt/app/bin
COPY lib /opt/app/lib
COPY alembic /opt/app/alembic
COPY alembic.ini /opt/app/alembic.ini
COPY entrypoint.sh /opt/app/entrypoint.sh
RUN chmod +x /opt/app/entrypoint.sh
ENTRYPOINT ["/opt/app/entrypoint.sh"]

100
src/assistant/alembic/versions/2023-10-12_3d448c6327cd_init_commit.py
View File

@ -1,14 +1,13 @@
"""init commit
Revision ID: 3d448c6327cd
Revises:
Revises:
Create Date: 2023-10-12 00:01:42.248941
"""
from typing import Sequence, Union
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
@ -37,102 +36,5 @@ def upgrade() -> None:
def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
op.add_column("person_film_work", sa.Column("id", sa.UUID(), autoincrement=False, nullable=False))
op.drop_constraint(None, "person_film_work", type_="foreignkey")
op.drop_constraint(None, "person_film_work", type_="foreignkey")
op.alter_column(
"person_film_work", "role", existing_type=sa.String(length=50), type_=sa.TEXT(), existing_nullable=False
)
op.alter_column("person", "modified", existing_type=postgresql.TIMESTAMP(timezone=True), nullable=True)
op.alter_column("person", "created", existing_type=postgresql.TIMESTAMP(timezone=True), nullable=True)
op.alter_column("person", "full_name", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=False)
op.drop_constraint(None, "genre_film_work", type_="foreignkey")
op.drop_constraint(None, "genre_film_work", type_="foreignkey")
op.alter_column("genre", "modified", existing_type=postgresql.TIMESTAMP(timezone=True), nullable=True)
op.alter_column("genre", "created", existing_type=postgresql.TIMESTAMP(timezone=True), nullable=True)
op.alter_column("genre", "description", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=True)
op.alter_column("genre", "name", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=False)
op.alter_column("film_work", "modified", existing_type=postgresql.TIMESTAMP(timezone=True), nullable=True)
op.alter_column("film_work", "created", existing_type=postgresql.TIMESTAMP(timezone=True), nullable=True)
op.alter_column("film_work", "type", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=False)
op.alter_column("film_work", "file_path", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=True)
op.alter_column("film_work", "creation_date", existing_type=sa.DateTime(), type_=sa.DATE(), existing_nullable=True)
op.alter_column("film_work", "description", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=True)
op.alter_column("film_work", "title", existing_type=sa.String(), type_=sa.TEXT(), existing_nullable=False)
op.create_table(
"django_migrations",
sa.Column("id", sa.BIGINT(), autoincrement=True, nullable=False),
sa.Column("app", sa.VARCHAR(length=255), autoincrement=False, nullable=False),
sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False),
sa.Column("applied", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=False),
)
op.create_table(
"django_admin_log",
sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column("action_time", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=False),
sa.Column("object_id", sa.TEXT(), autoincrement=False, nullable=True),
sa.Column("object_repr", sa.VARCHAR(length=200), autoincrement=False, nullable=False),
sa.Column("action_flag", sa.SMALLINT(), autoincrement=False, nullable=False),
sa.Column("change_message", sa.TEXT(), autoincrement=False, nullable=False),
sa.Column("content_type_id", sa.INTEGER(), autoincrement=False, nullable=True),
sa.Column("user_id", sa.INTEGER(), autoincrement=False, nullable=False),
sa.CheckConstraint("action_flag >= 0", name="django_admin_log_action_flag_check"),
)
op.create_table(
"django_session",
sa.Column("session_key", sa.VARCHAR(length=40), autoincrement=False, nullable=False),
sa.Column("session_data", sa.TEXT(), autoincrement=False, nullable=False),
sa.Column("expire_date", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=False),
)
op.create_table(
"auth_permission",
sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column("name", sa.VARCHAR(length=255), autoincrement=False, nullable=False),
sa.Column("content_type_id", sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column("codename", sa.VARCHAR(length=100), autoincrement=False, nullable=False),
)
op.create_table(
"django_content_type",
sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column("app_label", sa.VARCHAR(length=100), autoincrement=False, nullable=False),
sa.Column("model", sa.VARCHAR(length=100), autoincrement=False, nullable=False),
)
op.create_table(
"auth_user",
sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column("password", sa.VARCHAR(length=128), autoincrement=False, nullable=False),
sa.Column("last_login", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=True),
sa.Column("is_superuser", sa.BOOLEAN(), autoincrement=False, nullable=False),
sa.Column("username", sa.VARCHAR(length=150), autoincrement=False, nullable=False),
sa.Column("first_name", sa.VARCHAR(length=150), autoincrement=False, nullable=False),
sa.Column("last_name", sa.VARCHAR(length=150), autoincrement=False, nullable=False),
sa.Column("email", sa.VARCHAR(length=254), autoincrement=False, nullable=False),
sa.Column("is_staff", sa.BOOLEAN(), autoincrement=False, nullable=False),
sa.Column("is_active", sa.BOOLEAN(), autoincrement=False, nullable=False),
sa.Column("date_joined", postgresql.TIMESTAMP(timezone=True), autoincrement=False, nullable=False),
)
op.create_table(
"auth_user_user_permissions",
sa.Column("id", sa.BIGINT(), autoincrement=True, nullable=False),
sa.Column("user_id", sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column("permission_id", sa.INTEGER(), autoincrement=False, nullable=False),
)
op.create_table(
"auth_group_permissions",
sa.Column("id", sa.BIGINT(), autoincrement=True, nullable=False),
sa.Column("group_id", sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column("permission_id", sa.INTEGER(), autoincrement=False, nullable=False),
)
op.create_table(
"auth_user_groups",
sa.Column("id", sa.BIGINT(), autoincrement=True, nullable=False),
sa.Column("user_id", sa.INTEGER(), autoincrement=False, nullable=False),
sa.Column("group_id", sa.INTEGER(), autoincrement=False, nullable=False),
)
op.create_table(
"auth_group",
sa.Column("id", sa.INTEGER(), autoincrement=True, nullable=False),
sa.Column("name", sa.VARCHAR(length=150), autoincrement=False, nullable=False),
)
op.drop_table("chat_history", schema="content")
# ### end Alembic commands ###

0
src/bot_aiogram/tgbot/keyboards/inline.py → src/assistant/data/.gitkeep
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7
src/assistant/docker-compose.dev.yml
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@ -2,7 +2,7 @@ version: "3"
services:
postgres:
image: postgres:15.2
image: ankane/pgvector:v0.5.0
restart: always
environment:
POSTGRES_USER: ${POSTGRES_USER}
@ -13,6 +13,7 @@ services:
ports:
- "${POSTGRES_PORT}:${POSTGRES_PORT}"
volumes:
- ./dump.sql:/docker-entrypoint-initdb.d/dump.sql:ro
- postgres_data:/var/lib/postgresql/data/
networks:
- backend_network
@ -23,7 +24,6 @@ services:
container_name: fastapi_app
image: fastapi_app
restart: always
entrypoint: ["/opt/app/entrypoint.sh"]
env_file:
- .env
ports:
@ -48,9 +48,6 @@ services:
networks:
- api_network
volumes:
postgres_data:
networks:
api_network:
driver: bridge

1
src/assistant/docker-compose.tests.yml
View File

@ -23,7 +23,6 @@ services:
container_name: api
image: fastapi_app
restart: always
entrypoint: ["/opt/app/entrypoint.sh"]
env_file:
- .env
expose:

1
src/assistant/docker-compose.yml
View File

@ -23,7 +23,6 @@ services:
container_name: api
image: fastapi_app
restart: always
entrypoint: ["/opt/app/entrypoint.sh"]
env_file:
- .env
expose:

4
src/assistant/entrypoint.sh
View File

@ -1,7 +1,7 @@
#!/bin/bash
while ! nc -z postgres 5432; do sleep 1; done;
while ! nc -z $POSTGRES_HOST $POSTGRES_PORT; do sleep 1; done;
alembic upgrade head
poetry run alembic upgrade head
exec .venv/bin/python -m bin

2
src/assistant/lib/agent/repositories/embedding_repository.py
View File

@ -33,7 +33,7 @@ class EmbeddingRepository:
response: dict[str, typing.Any] = await openai.Embedding.acreate(
input=text,
model=model,
) # type: ignore[reportGeneralTypeIssues]
) # type: ignore[reportGeneralTypeIssues]
return models.Embedding(root=response["data"][0]["embedding"])
except openai.error.OpenAIError:

7
src/assistant/lib/agent/repositories/openai_functions.py
View File

@ -5,6 +5,7 @@ import sqlalchemy.exc
import sqlalchemy.ext.asyncio as sa_asyncio
import lib.agent.repositories as repositories
import lib.app.settings as app_settings
import lib.models as models
import lib.orm_models as orm_models
@ -16,10 +17,12 @@ class OpenAIFunctions:
self,
repository: repositories.EmbeddingRepository,
pg_async_session: sa_asyncio.async_sessionmaker[sa_asyncio.AsyncSession],
settings: app_settings.Settings,
) -> None:
self.logger = logging.getLogger(__name__)
self.pg_async_session = pg_async_session
self.repository = repository
self.settings = settings
async def get_movie_by_description(self, description: str) -> list[models.Movie] | None:
"""Use this function to find data about a movie by movie's description."""
@ -31,8 +34,8 @@ class OpenAIFunctions:
result: list[models.Movie] = []
stmt = (
sa.select(orm_models.FilmWork)
.order_by(orm_models.FilmWork.embeddings.cosine_distance(embedded_description.root))
.limit(5)
.order_by(orm_models.FilmWork.embeddings.cosine_distance(embedded_description.root)) # type: ignore[reportOptionalMemberAccess]
.limit(self.settings.agent.embeddings_limit)
)
response = await session.execute(stmt)
neighbours = response.scalars()

15
src/assistant/lib/agent/services.py
View File

@ -49,7 +49,7 @@ class AgentService:
template = """
1. You are movie expert with a vast knowledge base about movies and their related aspects.
2. Use functions to get an additional data about movies.
2. Use functions to get an additional data about movies.
3. Translate each inbound request into English language. Before calling any functions.
4. Answer always in Russian language.
5. Be very concise. You answer must be no longer than 100 words."""
@ -77,12 +77,13 @@ class AgentService:
# Load chat history from database
request_chat_history = models.RequestChatHistory(session_id=session_id)
chat_history = await self.chat_repository.get_messages_by_sid(request_chat_history)
for entry in chat_history:
if entry.role == "user":
memory.chat_memory.add_user_message(entry.content)
elif entry.role == "agent":
memory.chat_memory.add_ai_message(entry.content)
if chat_history:
for entry in chat_history:
if entry.role == "user":
memory.chat_memory.add_user_message(entry.content)
elif entry.role == "agent":
memory.chat_memory.add_ai_message(entry.content)
agent = langchain.agents.OpenAIFunctionsAgent(llm=llm, tools=tools, prompt=prompt)
agent_executor: langchain.agents.AgentExecutor = langchain.agents.AgentExecutor.from_agent_and_tools(
tools=tools,

1
src/assistant/lib/api/v1/handlers/voice_responce_handler.py
View File

@ -47,4 +47,3 @@ class VoiceResponseHandler:
)
)
return fastapi.responses.StreamingResponse(io.BytesIO(response.audio_content), media_type="audio/ogg")
# return fastapi.responses.StreamingResponse(io.BytesIO(voice), media_type="audio/ogg")

2
src/assistant/lib/app/app.py
View File

@ -97,7 +97,7 @@ class Application:
)
embedding_repository = agent_repositories.EmbeddingRepository(settings=settings)
agent_tools = agent_functions.OpenAIFunctions(
repository=embedding_repository, pg_async_session=postgres_client.get_async_session()
repository=embedding_repository, pg_async_session=postgres_client.get_async_session(), settings=settings
)
tts_yandex_repository = tts.TTSYandexRepository(
tts_settings=app_split_settings.TTSYandexSettings(),

1
src/assistant/lib/app/settings.py
View File

@ -4,6 +4,7 @@ import lib.app.split_settings as app_split_settings
class Settings(pydantic_settings.BaseSettings):
agent: app_split_settings.AgentSettings = app_split_settings.AgentSettings()
api: app_split_settings.ApiSettings = app_split_settings.ApiSettings()
app: app_split_settings.AppSettings = app_split_settings.AppSettings()
postgres: app_split_settings.PostgresSettings = app_split_settings.PostgresSettings()

2
src/assistant/lib/app/split_settings/__init__.py
View File

@ -1,3 +1,4 @@
from .agent import *
from .api import *
from .app import *
from .logger import *
@ -9,6 +10,7 @@ from .tts import *
from .voice import *
__all__ = [
"AgentSettings",
"ApiSettings",
"AppSettings",
"LoggingSettings",

14
src/assistant/lib/app/split_settings/agent.py Normal file
View File

@ -0,0 +1,14 @@
import pydantic_settings
import lib.app.split_settings.utils as app_split_settings_utils
class AgentSettings(pydantic_settings.BaseSettings):
model_config = pydantic_settings.SettingsConfigDict(
env_file=app_split_settings_utils.ENV_PATH,
env_prefix="AGENT_",
env_file_encoding="utf-8",
extra="ignore",
)
embeddings_limit: int = 5

9
src/assistant/lib/models/__init__.py
View File

@ -1,11 +1,10 @@
from .agent import *
from .chat_history import Message, RequestChatHistory, RequestChatMessage, RequestLastSessionId
from .embedding import Embedding
from .movies import Movie
from .token import Token
from .chat_history import *
from .embedding import *
from .movies import *
from .token import *
from .tts import *
# __all__ = ["Embedding", "Message", "Movie", "RequestChatHistory", "RequestChatMessage", "RequestLastSessionId", "Token"]
__all__ = [
"AVAILABLE_MODELS_TYPE",
"AgentCreateRequestModel",

28
src/assistant/poetry.lock generated
View File

@ -960,6 +960,16 @@ files = [
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
{file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
{file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
{file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:f698de3fd0c4e6972b92290a45bd9b1536bffe8c6759c62471efaa8acb4c37bc"},
{file = "MarkupSafe-2.1.3-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:aa57bd9cf8ae831a362185ee444e15a93ecb2e344c8e52e4d721ea3ab6ef1823"},
{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ffcc3f7c66b5f5b7931a5aa68fc9cecc51e685ef90282f4a82f0f5e9b704ad11"},
{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47d4f1c5f80fc62fdd7777d0d40a2e9dda0a05883ab11374334f6c4de38adffd"},
{file = "MarkupSafe-2.1.3-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1f67c7038d560d92149c060157d623c542173016c4babc0c1913cca0564b9939"},
{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:9aad3c1755095ce347e26488214ef77e0485a3c34a50c5a5e2471dff60b9dd9c"},
{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:14ff806850827afd6b07a5f32bd917fb7f45b046ba40c57abdb636674a8b559c"},
{file = "MarkupSafe-2.1.3-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8f9293864fe09b8149f0cc42ce56e3f0e54de883a9de90cd427f191c346eb2e1"},
{file = "MarkupSafe-2.1.3-cp312-cp312-win32.whl", hash = "sha256:715d3562f79d540f251b99ebd6d8baa547118974341db04f5ad06d5ea3eb8007"},
{file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
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0
src/bot_aiogram/tgbot/keyboards/reply.py
View File

0
src/bot_aiogram/tgbot/misc/states.py
View File

4
src/template/Dockerfile
View File

@ -13,7 +13,7 @@ COPY poetry.toml /opt/app/poetry.toml
WORKDIR /opt/app
RUN pip install poetry \
RUN pip install poetry \
&& poetry install --no-dev
COPY bin /opt/app/bin
@ -21,3 +21,5 @@ COPY lib /opt/app/lib
COPY entrypoint.sh /opt/app/entrypoint.sh
RUN chmod +x /opt/app/entrypoint.sh
CMD [".venv/bin/python", "-m", "bin"]

2
src/template/entrypoint.sh
View File

@ -1,5 +1,3 @@
#!/bin/bash
while ! nc -z postgres 5432; do sleep 1; done;
exec .venv/bin/python -m bin

3
src/template/lib/app/split_settings/logger.py
View File

@ -1,6 +1,7 @@
import lib.app.split_settings.utils as app_split_settings_utils
import pydantic_settings
import lib.app.split_settings.utils as app_split_settings_utils
class LoggingSettings(pydantic_settings.BaseSettings):
model_config = pydantic_settings.SettingsConfigDict(

24
src/template/poetry.lock generated
View File

@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
[[package]]
name = "alembic"
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