Add dockerization

.dockerignore

@@ -0,0 +1,34 @@
+# Include any files or directories that you don't want to be copied to your
+# container here (e.g., local build artifacts, temporary files, etc.).
+#
+# For more help, visit the .dockerignore file reference guide at
+# https://docs.docker.com/go/build-context-dockerignore/
+
+**/.DS_Store
+**/__pycache__
+**/.venv
+**/.classpath
+**/.dockerignore
+**/.env
+**/.git
+**/.gitignore
+**/.project
+**/.settings
+**/.toolstarget
+**/.vs
+**/.vscode
+**/*.*proj.user
+**/*.dbmdl
+**/*.jfm
+**/bin
+**/charts
+**/docker-compose*
+**/compose.y*ml
+**/Dockerfile*
+**/node_modules
+**/npm-debug.log
+**/obj
+**/secrets.dev.yaml
+**/values.dev.yaml
+LICENSE
+README.md

Dockerfile

@@ -0,0 +1,34 @@
+# syntax=docker/dockerfile:1
+FROM python:3.13-slim
+
+ENV PYTHONDONTWRITEBYTECODE=1
+
+ENV PYTHONUNBUFFERED=1
+
+ENV UV_SYSTEM_PYTHON=1
+
+WORKDIR /app
+
+ARG UID=10001
+RUN adduser \
+    --disabled-password \
+    --gecos "" \
+    --home "/nonexistent" \
+    --shell "/sbin/nologin" \
+    --no-create-home \
+    --uid "${UID}" \
+    appuser
+
+RUN --mount=type=cache,target=/var/cache/apt \
+    apt-get update && apt-get install -y --no-install-recommends \
+    git && rm -rf /var/lib/apt/lists/*
+
+RUN --mount=from=ghcr.io/astral-sh/uv,source=/uv,target=/bin/uv \
+    --mount=type=cache,target=/root/.cache/uv \
+    --mount=type=bind,source=pyproject.toml,target=pyproject.toml \
+    --mount=type=bind,source=uv.lock,target=uv.lock \
+    uv sync --no-dev --locked --no-install-project
+
+COPY . .
+
+USER appuser

backend/agent.py

@@ -1,3 +1,4 @@
+import os
 from langchain.agents import create_agent
 from langchain_openai import ChatOpenAI
 from langgraph.checkpoint.memory import InMemorySaver
@@ -22,10 +23,16 @@ SYSTEM_PROMPT = """
 Поиск в интернете можно делать не более 1 раза за запрос пользователя.
 """
 
-redis = Redis()
+redis = Redis(host=os.getenv("REDIS_HOST", "127.0.0.1"))
 llm = ChatOpenAI(model_name="gpt-5")
 embedding = DeepInfraEmbeddings(model_id="Qwen/Qwen3-Embedding-8B")
-vectorstore = Clickhouse(embedding, ClickhouseSettings(port=8123, username="default", password="", index_type="vector_similarity"))
+vectorstore = Clickhouse(embedding, ClickhouseSettings(
+    host=os.getenv("CLICKHOUSE_HOST", "127.0.0.1"),
+    port=8123,
+    username="default",
+    password="",
+    index_type="vector_similarity",
+))
 search_tool = DuckDuckGoSearchRun()
 
 

backend/bot.py

@@ -1,3 +1,7 @@
+import sys
+
+sys.path.append(".")
+
 import os
 import io
 import traceback

backend/index.py

@@ -1,3 +1,7 @@
+import sys
+
+sys.path.append(".")
+
 from backend.agent import vectorstore
 from langchain_core.documents import Document
 import clickhouse_connect
@@ -16,7 +20,7 @@ WHERE timestamp >= now() - INTERVAL 30 DAY
   ]) >= 5
 """
 
-client = clickhouse_connect.create_client(port=18123)
+client = clickhouse_connect.create_client(host="127.0.0.1", port=18123)
 
 documents = []
 for row in client.query(query).result_rows:

compose.yaml

@@ -7,14 +7,24 @@ services:
       CLICKHOUSE_DB: default
       CLICKHOUSE_USER: default
       CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT: "1"
-    ports:
+    network_mode: host
-      - "127.0.0.1:8123:8123"
-      - "127.0.0.1:9000:9000"
     volumes:
       - /srv/vision-career/clickhouse/ch_data:/var/lib/clickhouse/
       - /srv/vision-career/clickhouse/ch_logs:/var/log/clickhouse-server/
   valkey:
     image: valkey/valkey:latest
     restart: always
-    ports:
+    network_mode: host
-      - "127.0.0.1:6379:6379"
+  bot:
+    image: vision-career:latest
+    build: .
+    command: [".venv/bin/python", "backend/bot.py"]
+    restart: always
+    init: true
+    network_mode: host
+    env_file:
+      - .env
+    develop:
+      watch:
+        - action: rebuild
+          path: .