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19 Commits

Author SHA1 Message Date
8f99d47af9 update readme 2026-03-10 11:42:20 +08:00
1d36f196ca readme 2026-03-10 11:24:25 +08:00
9f40ef93b7 track nginx.conf 2026-03-10 11:11:18 +08:00
fda3e86a71 update pyproject.toml 2026-03-10 11:08:33 +08:00
d5303ad201 add network configs 2026-03-10 11:08:02 +08:00
245be63f07 donno what changed 2026-03-10 11:07:51 +08:00
068df7715e grat permissions to app users 2026-03-10 11:07:30 +08:00
95498180a2 update deepagent requirement 2026-03-10 10:21:27 +08:00
7b6ba79417 download_images.sh 2026-03-08 12:27:21 +08:00
a228325d74 update path 2026-03-08 12:17:32 +08:00
e59ae66b85 update path 2026-03-08 12:17:24 +08:00
e524be15e5 add database initialization scripts 2026-03-08 12:17:10 +08:00
2d90a4caac update path 2026-03-08 12:15:03 +08:00
4e8c2b4f5d installation shell script 2026-03-08 12:12:20 +08:00
0ddeb91755 moved shell script 2026-03-08 12:12:13 +08:00
cb3b98db10 moved docker files 2026-03-08 12:03:58 +08:00
487562042f add comments 2026-03-08 12:00:04 +08:00
ac46518cf5 moved docker 2026-03-07 15:00:36 +08:00
c03fb17a5c update default prompt 2026-03-07 14:54:48 +08:00
17 changed files with 883 additions and 7 deletions

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@@ -2,6 +2,10 @@
这是一个基于FastAPI的聊天API服务使用OpenAI格式的请求来调用pipeline.invoke方法进行聊天。
## Docker Installation
For production deployment using Docker, see the [Installation Guide](README_INSTALL.md).
## 安装依赖
```bash
@@ -140,15 +144,35 @@ npm install
### Start the `front_apis` server
The frontend talks to the `front_apis` FastAPI service, which by default listens on `http://127.0.0.1:8001`.
The frontend talks to the `front_apis` FastAPI service, which by default listens on `http://127.0.0.1:8500`.
From the project root:
```bash
uvicorn fastapi_server.front_apis:app --reload --host 0.0.0.0 --port 8001
uvicorn fastapi_server.front_apis:app --reload --host 0.0.0.0 --port 8500
```
You can change the URL by setting `VITE_FRONT_API_BASE_URL` in `frontend/.env` (defaults to `http://127.0.0.1:8001`).
Or run directly:
```bash
python fastapi_server/front_apis.py
```
### Backend run modes
Run whichever backend mode you need from the project root:
```bash
# admin/control plane only (/v1/... frontend APIs)
uvicorn fastapi_server.front_apis:app --reload --host 0.0.0.0 --port 8500
# DashScope chat runtime only (/apps/... and /v1/apps/... APIs)
uvicorn fastapi_server.server_dashscope:app --reload --host 0.0.0.0 --port 8588
# combined mode: one process serves both front_apis + DashScope endpoints
uvicorn fastapi_server.combined:app --reload --host 0.0.0.0 --port 8500
```
You can change the URL by setting `VITE_FRONT_API_BASE_URL` in `frontend/.env` (defaults to `http://127.0.0.1:8500`).
### Start the development server

267
README_INSTALL.md Normal file
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@@ -0,0 +1,267 @@
# Installation Guide
This guide explains how to install and run the LangChain Agent application using Docker.
## Prerequisites
- Docker (version 20.10 or later)
- Docker Compose (version 2.0 or later, or use `docker compose` command)
## Quick Start
1. **Run the installation script:**
```bash
./scripts/shell_scripts/install.sh
```
This script will:
- Check for required tools (Docker, docker-compose)
- Create a `.env` file with default configuration
- Build Docker images (or use pre-loaded images)
- Start all services (PostgreSQL, Backend API, Nginx)
2. **Access the application:**
- Frontend: http://localhost (or http://localhost:80)
- Backend API: http://localhost:8500
- Database: localhost:5432
## Installation for China / Offline Use
If Docker Hub is slow or inaccessible in your region:
### Option 1: Use Chinese Docker Mirrors
Configure Docker to use Chinese registry mirrors:
```bash
sudo tee /etc/docker/daemon.json <<EOF
{
"registry-mirrors": [
"https://registry.docker-cn.com",
"https://mirror.ccsogou.com",
"https://docker.1ms.run"
]
}
EOF
sudo systemctl daemon-reload
sudo systemctl restart docker
```
Then run `./scripts/shell_scripts/install.sh`
### configuring '.env' and 'frontend/.env'
```bash
ALI_API_KEY="API_KEY_FOR_ALI_QWEN"
ALI_BASE_URL="https://dashscope.aliyuncs.com/compatible-mode/v1"
POSTGRES_ROOT_PASSWORD="ROOT_PASSOWRD_FOR_DB_IN_CONN_STR - required for installation"
POSTGRES_PASSWORD="USER_PASSWORD_FOR_DB_CONN_STR - required for installation" - need to be same in POSTGRES_PASSWORD
CONN_STR="CONNECTION_STRING_TO_DATABASE" # DOCKER PASSWORD
FAST_AUTH_KEYS="API_KEY_FOR_OTHER_APPLICATIONS_TO_USE_BUILT_PIPELINE"
DAYTONA_API_KEY="DAYTONA_CONFIG - NOT REQUIRED"
```
### Option 2: Pre-load Docker Images Offline
1. On a machine with good Docker Hub access, run:
```bash
./scripts/shell_scripts/download_images.sh
```
This creates `images.tar` with all required images.
2. Transfer `images.tar` to your target machine.
3. Load the images:
```bash
docker load < images.tar
```
4. Run the install script:
```bash
./scripts/shell_scripts/install.sh
```
## Manual Installation
If you prefer to set up manually:
1. **Create environment file:**
```bash
cp .env.example .env # Edit as needed
```
2. **Build and start services:**
```bash
cd docker
docker compose -f docker-compose.prod.yml up -d --build
```
3. **Check service status:**
```bash
cd docker
docker compose -f docker-compose.prod.yml ps
```
## Configuration
Edit the `.env` file to customize:
- `POSTGRES_DB`: Database name (default: `ai_conversations`)
- `POSTGRES_USER`: Database user (default: `myapp_user`)
- `POSTGRES_PASSWORD`: Database password (default: `secure_password_123`)
- `POSTGRES_PORT`: PostgreSQL port (default: `5432`)
- `BACKEND_PORT`: Backend API port (default: `8500`)
- `FRONTEND_PORT`: Frontend web server port (default: `80`)
## Database Initialization
The database is automatically initialized when the PostgreSQL container starts for the first time. The following SQL scripts are executed in order:
1. `scripts/init_database/00_init_user.sh` - Creates database user and database
2. `scripts/init_database/create_conv_store.sql` - Creates conversation storage tables
3. `scripts/init_database/create_prompt_config.sql` - Creates prompt configuration tables
## Service Management
All commands run from the `docker/` directory:
### View logs:
```bash
cd docker
docker compose -f docker-compose.prod.yml logs -f
# Specific service
docker compose -f docker-compose.prod.yml logs -f backend
docker compose -f docker-compose.prod.yml logs -f postgres
docker compose -f docker-compose.prod.yml logs -f nginx
```
### Stop services:
```bash
cd docker
docker compose -f docker-compose.prod.yml down
```
### Restart services:
```bash
cd docker
docker compose -f docker-compose.prod.yml restart
```
### Rebuild after code changes:
```bash
cd docker
docker compose -f docker-compose.prod.yml up -d --build
```
### Reset database (delete all data):
```bash
cd docker
docker compose -f docker-compose.prod.yml down -v
docker compose -f docker-compose.prod.yml up -d
```
## Architecture
The application consists of three main services:
1. **PostgreSQL** (`postgres`): Database server
- Stores conversations and prompt configurations
- Automatically initializes schema on first run
2. **Backend** (`backend`): FastAPI application
- Serves API endpoints at port 8500
- Handles agent management and chat endpoints
- Connects to PostgreSQL database
3. **Nginx** (`nginx`): Web server
- Serves the React frontend (port 80)
- Proxies API requests to the backend
- Handles static file serving
## Project Structure
```
langchain-agent/
├── docker/
│ ├── docker-compose.prod.yml # Production compose file
│ └── Dockerfile.prod # Backend Docker image
├── scripts/
│ ├── shell_scripts/
│ │ ├── install.sh # Main installation script
│ │ └── download_images.sh # For offline image download
│ └── init_database/ # Database initialization scripts
├── frontend/ # React frontend
├── configs/ # Pipeline configurations
├── nginx.conf # Nginx configuration
└── .env # Environment variables
```
## Troubleshooting
### Database connection issues
If the backend can't connect to the database:
1. Check that PostgreSQL is running:
```bash
docker compose -f docker-compose.prod.yml ps postgres
```
2. Verify the connection string in `.env` matches the database configuration
3. Check backend logs:
```bash
docker compose -f docker-compose.prod.yml logs backend
```
### Frontend not loading / NetworkError
1. Check nginx logs:
```bash
docker compose -f docker-compose.prod.yml logs nginx
```
2. Ensure frontend is built with correct API base URL. The `frontend/.env` file should contain:
```
VITE_FRONT_API_BASE_URL=/
```
Then rebuild: `docker compose -f docker-compose.prod.yml build backend`
### Port conflicts
If ports are already in use, update the port mappings in `.env`:
```bash
# Example: use port 5433 for PostgreSQL
POSTGRES_PORT=5433
```
## Development
For development, you may want to run services separately:
1. Start only PostgreSQL:
```bash
cd docker
docker compose -f docker-compose.prod.yml up -d postgres
```
2. Run backend locally:
```bash
export CONN_STR="postgresql://myapp_user:secure_password_123@localhost:5432/ai_conversations"
python -m uvicorn lang_agent.fastapi_server.combined:app --reload --host 0.0.0.0 --port 8500
```
3. Run frontend locally:
```bash
cd frontend
npm install
npm run dev
```
Note: For local frontend development, create a `.env` file in `frontend/` with:
```
VITE_FRONT_API_BASE_URL=http://localhost:8500
```

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@@ -1,3 +1,7 @@
you are a helpful bot enhanced with skills.
You are a helpful bot enhanced with skills.
To use a skill, read its SKILL.md file using the read_file tool. Skills are NOT tools — they are instructions for using existing tools.
Skills with available="false" need dependencies installed first - you can try installing them with apt/brew. You can check if the environment the packages you need.
When using a skill, assume required tools (e.g., npx, curl) are available and execute the commands directly. If a command fails because a tool is missing, install the missing dependency using apt/brew and retry.
For shell commands (e.g., npx, curl), use the execute tool to run them.

85
docker/Dockerfile.prod Normal file
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@@ -0,0 +1,85 @@
# Multi-stage Dockerfile for production deployment
# Stage 1: Build frontend
FROM node:20-alpine AS frontend-builder
WORKDIR /app/frontend
# Copy frontend files
COPY frontend/package*.json ./
RUN npm ci
COPY frontend/ ./
RUN npm run build
# Stage 2: Python backend
FROM python:3.12-slim
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y \
postgresql-client \
curl \
&& rm -rf /var/lib/apt/lists/*
# Copy Python dependencies
COPY pyproject.toml ./
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -e .
# Copy application code
COPY lang_agent/ ./lang_agent/
COPY configs/ ./configs/
COPY scripts/ ./scripts/
COPY assets/ ./assets/
COPY static/ ./static/
# Copy built frontend from stage 1
COPY --from=frontend-builder /app/frontend/dist ./frontend/dist
# Set environment variables
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1
# Expose port
EXPOSE 8500
# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -f http://localhost:8500/health || exit 1
# Create entrypoint script to wait for DB
# Uses Python to check database connection (more reliable than psql)
RUN echo '#!/bin/bash\n\
set -e\n\
echo "Waiting for database to be ready..."\n\
python3 << EOF\n\
import sys\n\
import time\n\
import psycopg\n\
\n\
max_attempts = 30\n\
conn_str = "${CONN_STR}"\n\
\n\
for i in range(max_attempts):\n\
try:\n\
with psycopg.connect(conn_str, connect_timeout=2) as conn:\n\
with conn.cursor() as cur:\n\
cur.execute("SELECT 1")\n\
print("Database is ready!")\n\
sys.exit(0)\n\
except Exception as e:\n\
if i == max_attempts - 1:\n\
print(f"Warning: Database not ready after {max_attempts * 2} seconds, continuing anyway...")\n\
print(f"Error: {e}")\n\
sys.exit(0)\n\
print(f"Database is unavailable - sleeping (attempt {i+1}/{max_attempts})")\n\
time.sleep(2)\n\
EOF\n\
exec "$@"' > /entrypoint.sh && chmod +x /entrypoint.sh
ENTRYPOINT ["/entrypoint.sh"]
# Run the combined server
CMD ["python", "-m", "uvicorn", "lang_agent.fastapi_server.combined:app", "--host", "0.0.0.0", "--port", "8500"]

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@@ -0,0 +1,84 @@
version: '3.8'
services:
# PostgreSQL database
postgres:
image: postgres:16-alpine
container_name: langchain-agent-db
networks:
- app-network
environment:
POSTGRES_DB: postgres
POSTGRES_USER: postgres
POSTGRES_PASSWORD: ${POSTGRES_ROOT_PASSWORD:-postgres_root_password}
# These are used by init scripts to create the app database
APP_DB_NAME: ${POSTGRES_DB:-ai_conversations}
APP_DB_USER: ${POSTGRES_USER:-myapp_user}
APP_DB_PASSWORD: ${POSTGRES_PASSWORD:-secure_password_123}
volumes:
- postgres_data:/var/lib/postgresql/data
- ../scripts/init_database:/docker-entrypoint-initdb.d
ports:
- "${POSTGRES_PORT:-5432}:5432"
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 10s
timeout: 5s
retries: 5
restart: unless-stopped
# Backend API server
backend:
build:
context: ..
dockerfile: docker/Dockerfile.prod
container_name: langchain-agent-backend
environment:
- PYTHONPATH=/app
- PYTHONUNBUFFERED=1
- CONN_STR=postgresql://${POSTGRES_USER:-myapp_user}:${POSTGRES_PASSWORD:-secure_password_123}@postgres:5432/${POSTGRES_DB:-ai_conversations}
- POSTGRES_USER=${POSTGRES_USER:-myapp_user}
- POSTGRES_PASSWORD=${POSTGRES_PASSWORD:-secure_password_123}
- POSTGRES_DB=${POSTGRES_DB:-ai_conversations}
ports:
- "${BACKEND_PORT:-8500}:8500"
volumes:
- ../configs:/app/configs
- ../scripts:/app/scripts
- ../assets:/app/assets
- ../static:/app/static
networks:
- app-network
depends_on:
postgres:
condition: service_healthy
restart: unless-stopped
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:8500/health"]
interval: 30s
timeout: 10s
retries: 3
start_period: 40s
# Nginx for serving frontend (optional - can also serve via FastAPI)
nginx:
image: nginx:alpine
container_name: langchain-agent-nginx
networks:
- app-network
ports:
- "${FRONTEND_PORT:-80}:80"
volumes:
- ../nginx.conf:/etc/nginx/nginx.conf:ro
- ../frontend/dist:/usr/share/nginx/html:ro
depends_on:
- backend
restart: unless-stopped
volumes:
postgres_data:
networks:
app-network:
driver: bridge

76
nginx.conf Normal file
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@@ -0,0 +1,76 @@
events {
worker_connections 1024;
}
http {
include /etc/nginx/mime.types;
default_type application/octet-stream;
sendfile on;
keepalive_timeout 65;
# Upstream backend
upstream backend {
server backend:8500;
}
server {
listen 80;
server_name localhost;
root /usr/share/nginx/html;
index index.html;
# Serve frontend static files
location / {
try_files $uri $uri/ /index.html;
}
# Proxy API requests to backend
location /v1/ {
proxy_pass http://backend;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_cache_bypass $http_upgrade;
}
# Proxy DashScope API requests
location /apps/ {
proxy_pass http://backend;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_cache_bypass $http_upgrade;
}
# Proxy v1/apps requests
location /v1/apps/ {
proxy_pass http://backend;
proxy_http_version 1.1;
proxy_set_header Upgrade $http_upgrade;
proxy_set_header Connection 'upgrade';
proxy_set_header Host $host;
proxy_set_header X-Real-IP $remote_addr;
proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
proxy_set_header X-Forwarded-Proto $scheme;
proxy_cache_bypass $http_upgrade;
}
# Health check endpoint
location /health {
proxy_pass http://backend/health;
access_log off;
}
}
}

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@@ -24,7 +24,10 @@ dependencies = [
"commentjson",
"pandas",
"asgiref",
"psycopg[binary]"
"psycopg[binary]",
"deepagents",
"daytona",
"langchain_daytona"
]
[tool.setuptools.packages.find]

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@@ -0,0 +1,40 @@
#!/bin/bash
# Initialize database user and database
# This script runs before SQL files in docker-entrypoint-initdb.d
# It must be named with 00_ prefix to run first
set -e
APP_DB_NAME="${APP_DB_NAME:-ai_conversations}"
APP_DB_USER="${APP_DB_USER:-myapp_user}"
APP_DB_PASSWORD="${APP_DB_PASSWORD:-secure_password_123}"
echo "Creating database user: $APP_DB_USER"
# Create user
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
DO \$\$
BEGIN
IF NOT EXISTS (SELECT FROM pg_catalog.pg_user WHERE usename = '$APP_DB_USER') THEN
CREATE USER $APP_DB_USER WITH PASSWORD '$APP_DB_PASSWORD';
END IF;
END
\$\$;
ALTER USER $APP_DB_USER CREATEDB;
EOSQL
echo "Creating database: $APP_DB_NAME"
# Create database
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
SELECT 'CREATE DATABASE $APP_DB_NAME'
WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = '$APP_DB_NAME')\gexec
GRANT ALL PRIVILEGES ON DATABASE $APP_DB_NAME TO $APP_DB_USER;
EOSQL
echo "Granting schema privileges"
# Grant schema privileges
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$APP_DB_NAME" <<-EOSQL
GRANT ALL ON SCHEMA public TO $APP_DB_USER;
EOSQL
echo "Database initialization complete!"

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@@ -0,0 +1,25 @@
#!/bin/bash
# Run SQL initialization files in the correct database context
# This script runs after 00_init_user.sh creates the database
set -e
APP_DB_NAME="${APP_DB_NAME:-ai_conversations}"
echo "Running SQL initialization files in database: $APP_DB_NAME"
# Run create_conv_store.sql
if [ -f /docker-entrypoint-initdb.d/create_conv_store.sql ]; then
echo "Executing create_conv_store.sql..."
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$APP_DB_NAME" -f /docker-entrypoint-initdb.d/create_conv_store.sql
fi
# Run create_prompt_config.sql
if [ -f /docker-entrypoint-initdb.d/create_prompt_config.sql ]; then
echo "Executing create_prompt_config.sql..."
psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$APP_DB_NAME" -f /docker-entrypoint-initdb.d/create_prompt_config.sql
fi
echo "SQL initialization files completed!"

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@@ -1,4 +1,5 @@
-- Create the messages table
-- This script runs in the ai_conversations database context
CREATE TABLE IF NOT EXISTS messages (
id BIGSERIAL PRIMARY KEY,
conversation_id TEXT NOT NULL,
@@ -13,4 +14,8 @@ CREATE TABLE IF NOT EXISTS messages (
CREATE INDEX IF NOT EXISTS idx_messages_conversation ON messages (conversation_id, sequence_number);
-- Index for fast lookup by pipeline_id
CREATE INDEX IF NOT EXISTS idx_messages_pipeline ON messages (pipeline_id);
CREATE INDEX IF NOT EXISTS idx_messages_pipeline ON messages (pipeline_id);
-- Grant permissions to app user
GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA public TO myapp_user;
GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public TO myapp_user;

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@@ -1,4 +1,5 @@
-- A prompt_set groups a full collection of prompts together.
-- This script runs in the ai_conversations database context
-- Each pipeline can have many sets (versions, A/B variants, etc.);
-- exactly one should be marked is_active per pipeline.
CREATE TABLE IF NOT EXISTS prompt_sets (
@@ -41,6 +42,10 @@ CREATE TABLE IF NOT EXISTS prompt_templates (
CREATE INDEX IF NOT EXISTS idx_prompt_templates_set_id
ON prompt_templates(prompt_set_id);
-- Grant permissions to app user
GRANT ALL PRIVILEGES ON ALL TABLES IN SCHEMA public TO myapp_user;
GRANT ALL PRIVILEGES ON ALL SEQUENCES IN SCHEMA public TO myapp_user;
-- Seed: initial prompt set for lang_agent/graphs/routing.py
-- The pipeline_id can be used by RoutingConfig.pipeline_id to load these prompts.
INSERT INTO prompt_sets (pipeline_id, graph_id, name, description, is_active, list)

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@@ -0,0 +1,49 @@
#!/bin/bash
# Database initialization script
# This script runs all SQL initialization files in the correct order
set -e
DB_NAME="${POSTGRES_DB:-ai_conversations}"
DB_USER="${POSTGRES_USER:-myapp_user}"
DB_PASSWORD="${POSTGRES_PASSWORD:-secure_password_123}"
DB_HOST="${POSTGRES_HOST:-localhost}"
DB_PORT="${POSTGRES_PORT:-5432}"
export PGPASSWORD="$DB_PASSWORD"
echo "Initializing database: $DB_NAME on $DB_HOST:$DB_PORT"
# Wait for PostgreSQL to be ready
until psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d postgres -c '\q' 2>/dev/null; do
echo "Waiting for PostgreSQL to be ready..."
sleep 2
done
echo "PostgreSQL is ready!"
# Create database if it doesn't exist
psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d postgres <<EOF
SELECT 'CREATE DATABASE $DB_NAME'
WHERE NOT EXISTS (SELECT FROM pg_database WHERE datname = '$DB_NAME')\gexec
EOF
# Grant privileges
psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d postgres <<EOF
GRANT ALL PRIVILEGES ON DATABASE $DB_NAME TO $DB_USER;
EOF
# Run initialization scripts in order
echo "Running database initialization scripts..."
# 1. Create conversation store tables
echo "Creating conversation store tables..."
psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" -f /docker-entrypoint-initdb.d/create_conv_store.sql
# 2. Create prompt configuration tables
echo "Creating prompt configuration tables..."
psql -h "$DB_HOST" -p "$DB_PORT" -U "$DB_USER" -d "$DB_NAME" -f /docker-entrypoint-initdb.d/create_prompt_config.sql
echo "Database initialization complete!"

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@@ -1,3 +1,8 @@
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
cd "$PROJECT_ROOT"
source ~/.bashrc
conda init
conda activate lang

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@@ -0,0 +1,37 @@
#!/bin/bash
# Script to download and package Docker images for offline use
# Run this on a machine with good Docker Hub access, then transfer images.tar to China
set -e
echo "=== Docker Image Downloader for Offline Use ==="
echo ""
# Images needed
IMAGES=(
"node:20-alpine"
"python:3.12-slim"
"postgres:16-alpine"
"nginx:alpine"
)
OUTPUT_FILE="images.tar"
echo "Pulling Docker images..."
for img in "${IMAGES[@]}"; do
echo " Pulling $img..."
docker pull "$img"
done
echo ""
echo "Saving to $OUTPUT_FILE..."
docker save "${IMAGES[@]}" -o "$OUTPUT_FILE"
echo ""
echo "Done! File size:"
ls -lh "$OUTPUT_FILE"
echo ""
echo "To transfer to China machine and load:"
echo " scp images.tar user@china-machine:/path/"
echo " docker load < images.tar"

167
scripts/shell_scripts/install.sh Executable file
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#!/bin/bash
# Installation script for LangChain Agent
# This script sets up and runs the entire application stack
set -e
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# Configuration
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
PROJECT_ROOT="$(dirname "$(dirname "$SCRIPT_DIR")")"
ENV_FILE="$PROJECT_ROOT/.env"
echo -e "${GREEN}=== LangChain Agent Installation Script ===${NC}\n"
# Check for required tools
check_requirements() {
echo -e "${YELLOW}Checking requirements...${NC}"
if ! command -v docker &> /dev/null; then
echo -e "${RED}Error: Docker is not installed. Please install Docker first.${NC}"
exit 1
fi
if ! command -v docker-compose &> /dev/null && ! docker compose version &> /dev/null; then
echo -e "${RED}Error: docker-compose is not installed. Please install docker-compose first.${NC}"
exit 1
fi
echo -e "${GREEN}✓ All requirements met${NC}\n"
}
# Create .env file if it doesn't exist
create_env_file() {
if [ ! -f "$ENV_FILE" ]; then
echo -e "${YELLOW}Creating .env file...${NC}"
cat > "$ENV_FILE" <<EOF
# Database Configuration
POSTGRES_DB=ai_conversations
POSTGRES_USER=myapp_user
POSTGRES_PASSWORD=secure_password_123
POSTGRES_PORT=5432
# Backend Configuration
BACKEND_PORT=8500
# Frontend Configuration
FRONTEND_PORT=80
# Database Connection String (used by backend)
CONN_STR=postgresql://myapp_user:secure_password_123@postgres:5432/ai_conversations
EOF
echo -e "${GREEN}✓ Created .env file at $ENV_FILE${NC}"
echo -e "${YELLOW} Please review and update the .env file with your preferred settings.${NC}\n"
else
echo -e "${GREEN}✓ .env file already exists${NC}\n"
fi
}
# Build Docker images
build_images() {
echo -e "${YELLOW}Building Docker images...${NC}"
cd "$PROJECT_ROOT"
# Check if docker-compose or docker compose
if docker compose version &> /dev/null; then
COMPOSE_CMD="docker compose"
else
COMPOSE_CMD="docker-compose"
fi
$COMPOSE_CMD -f docker/docker-compose.prod.yml build
echo -e "${GREEN}✓ Docker images built successfully${NC}\n"
}
# Initialize database
init_database() {
echo -e "${YELLOW}Initializing database...${NC}"
# Wait for PostgreSQL to be ready
echo "Waiting for PostgreSQL to start..."
sleep 5
# The SQL files in scripts/init_database/ will be automatically executed
# by PostgreSQL's docker-entrypoint-initdb.d mechanism
# We just need to wait a bit for it to complete
echo -e "${GREEN}✓ Database initialization will be handled automatically by PostgreSQL container${NC}\n"
}
# Start services
start_services() {
echo -e "${YELLOW}Starting services...${NC}"
cd "$PROJECT_ROOT"
# Check if docker-compose or docker compose
if docker compose version &> /dev/null; then
COMPOSE_CMD="docker compose"
else
COMPOSE_CMD="docker-compose"
fi
$COMPOSE_CMD -f docker/docker-compose.prod.yml up -d
echo -e "${GREEN}✓ Services started${NC}\n"
}
# Show status
show_status() {
# Load environment variables from .env if it exists
if [ -f "$ENV_FILE" ]; then
set -a
source "$ENV_FILE"
set +a
fi
echo -e "${GREEN}=== Installation Complete ===${NC}\n"
echo -e "Services are starting up. Please wait a moment for them to be ready.\n"
echo -e "Access points:"
echo -e " - Frontend: http://localhost:${FRONTEND_PORT:-80}"
echo -e " - Backend API: http://localhost:${BACKEND_PORT:-8500}"
echo -e " - Database: localhost:${POSTGRES_PORT:-5432}\n"
echo -e "To view logs:"
echo -e " docker-compose -f docker/docker-compose.prod.yml logs -f\n"
echo -e "To stop services:"
echo -e " docker-compose -f docker/docker-compose.prod.yml down\n"
echo -e "To restart services:"
echo -e " docker-compose -f docker/docker-compose.prod.yml restart\n"
}
# Main execution
main() {
check_requirements
create_env_file
build_images
start_services
init_database
show_status
echo -e "${YELLOW}Waiting for services to be healthy...${NC}"
sleep 10
# Load environment variables for health check
if [ -f "$ENV_FILE" ]; then
set -a
source "$ENV_FILE"
set +a
fi
# Check service health
echo -e "\n${YELLOW}Checking service health...${NC}"
sleep 5 # Give services a bit more time
if curl -f http://localhost:${BACKEND_PORT:-8500}/health &> /dev/null; then
echo -e "${GREEN}✓ Backend is healthy${NC}"
else
echo -e "${YELLOW}⚠ Backend is still starting up. Check logs with: docker-compose -f docker/docker-compose.prod.yml logs backend${NC}"
fi
}
# Run main function
main