refactor: remove duplicate MCP service log files

Remove redundant log file creation for MCP services since output is
already captured by Docker logs. This simplifies deployment by removing
unnecessary volume mounts and file management.

Changes:
- Remove logs/ directory creation from Dockerfile
- Remove logs/ volume mount from docker-compose.yml
- Update start_mcp_services.py to send output to DEVNULL
- Update documentation to reflect changes (DOCKER.md, docs/DOCKER.md)
- Update .env.example to remove logs/ from volume description

Users can still view MCP service output via 'docker logs' or
'docker-compose logs -f'. Trading session logs in data/agent_data/
remain unchanged.

.env.example

@@ -35,7 +35,7 @@ MAX_SIMULATION_DAYS=30
 AUTO_DOWNLOAD_PRICE_DATA=true
 
 # Data Volume Configuration
-# Base directory for all persistent data (will contain data/, logs/, configs/ subdirectories)
+# Base directory for all persistent data (will contain data/ and configs/ subdirectories)
 # Use relative paths (./volumes) or absolute paths (/home/user/ai-trader-volumes)
 # Defaults to current directory (.) if not set
 VOLUME_PATH=.

DOCKER.md

@@ -154,10 +154,9 @@ docker-compose up
 
 ### Volume Mounts
 
-Docker Compose mounts three volumes for persistent data. By default, these are stored in the project directory:
+Docker Compose mounts two volumes for persistent data. By default, these are stored in the project directory:
 
 - `./data:/app/data` - Price data and trading records
-- `./logs:/app/logs` - MCP service logs
 - `./configs:/app/configs` - Configuration files (allows editing configs without rebuilding)
 
 ### Custom Volume Location
@@ -174,7 +173,6 @@ VOLUME_PATH=./volumes
 
 This will store data in:
 - `/home/user/trading-data/data/`
-- `/home/user/trading-data/logs/`
 - `/home/user/trading-data/configs/`
 
 **Note:** The directory structure is automatically created. You'll need to copy your existing configs:
@@ -190,7 +188,7 @@ To reset all trading data:
 
 ```bash
 docker-compose down
-rm -rf ${VOLUME_PATH:-.}/data/agent_data/* ${VOLUME_PATH:-.}/logs/*
+rm -rf ${VOLUME_PATH:-.}/data/agent_data/*
 docker-compose up
 ```
 
@@ -217,8 +215,7 @@ docker pull ghcr.io/xe138/ai-trader-server:latest
 ```bash
 docker run --env-file .env \
   -v $(pwd)/data:/app/data \
-  -v $(pwd)/logs:/app/logs \
+  -p 8080:8080 \
-  -p 8000-8003:8000-8003 \
   ghcr.io/xe138/ai-trader-server:latest
 ```
 
@@ -234,9 +231,9 @@ docker pull ghcr.io/xe138/ai-trader-server:v1.0.0
 **Symptom:** Container exits immediately or errors about ports
 
 **Solutions:**
-- Check ports 8000-8003 not already in use: `lsof -i :8000-8003`
 - View container logs: `docker-compose logs`
-- Check MCP service logs: `cat logs/math.log`
+- Check if API port 8080 is already in use: `lsof -i :8080`
+- Verify MCP services started by checking Docker logs for service startup messages
 
 ### Missing API Keys
 
@@ -258,12 +255,12 @@ docker pull ghcr.io/xe138/ai-trader-server:v1.0.0
 
 ### Permission Issues
 
-**Symptom:** Cannot write to data or logs directories
+**Symptom:** Cannot write to data directory
 
 **Solutions:**
-- Ensure directories writable: `chmod -R 755 data logs`
+- Ensure data directory is writable: `chmod -R 755 data`
 - Check volume mount permissions
-- May need to create directories first: `mkdir -p data logs`
+- May need to create directory first: `mkdir -p data`
 
 ### Container Keeps Restarting
 
@@ -298,13 +295,12 @@ docker buildx build --platform linux/amd64,linux/arm64 -t ai-trader-server .
 docker stats ai-trader-server
 ```
 
-### Access MCP Services Directly
+### Access API Directly
 
-Services exposed on host:
+API server exposed on host:
-- Math: http://localhost:8000
+- REST API: http://localhost:8080
-- Search: http://localhost:8001
+
-- Trade: http://localhost:8002
+MCP services run internally and are not exposed to the host.
-- Price: http://localhost:8003
 
 ## Development Workflow
 

Dockerfile

@@ -27,7 +27,7 @@ WORKDIR /app
 COPY . .
 
 # Create necessary directories
-RUN mkdir -p data logs data/agent_data
+RUN mkdir -p data data/agent_data
 
 # Make entrypoint executable
 RUN chmod +x entrypoint.sh

agent_tools/start_mcp_services.py

@@ -52,10 +52,6 @@ class MCPServiceManager:
             }
         }
 
-        # Create logs directory
-        self.log_dir = Path('logs')
-        self.log_dir.mkdir(exist_ok=True)
-        
         # Set signal handlers
         signal.signal(signal.SIGINT, self.signal_handler)
         signal.signal(signal.SIGTERM, self.signal_handler)
@@ -77,27 +73,23 @@ class MCPServiceManager:
             return False
 
         try:
-            # Start service process
-            log_file = self.log_dir / f"{service_id}.log"
-
             # Set PYTHONPATH to /app so services can import from tools module
             env = os.environ.copy()
             env['PYTHONPATH'] = str(Path.cwd())
 
-            with open(log_file, 'w') as f:
+            # Start service process (output goes to Docker logs)
-                process = subprocess.Popen(
+            process = subprocess.Popen(
-                    [sys.executable, str(script_path)],
+                [sys.executable, str(script_path)],
-                    stdout=f,
+                stdout=subprocess.DEVNULL,
-                    stderr=subprocess.STDOUT,
+                stderr=subprocess.DEVNULL,
-                    cwd=Path.cwd(),  # Use current working directory (/app)
+                cwd=Path.cwd(),  # Use current working directory (/app)
-                    env=env  # Pass environment with PYTHONPATH
+                env=env  # Pass environment with PYTHONPATH
-                )
+            )
 
             self.services[service_id] = {
                 'process': process,
                 'name': service_name,
-                'port': port,
+                'port': port
-                'log_file': log_file
             }
             
             print(f"✅ {service_name} service started (PID: {process.pid}, Port: {port})")
@@ -167,7 +159,7 @@ class MCPServiceManager:
                 print(f"✅ {service['name']} service running normally")
             else:
                 print(f"❌ {service['name']} service failed to start")
-                print(f"   Please check logs: {service['log_file']}")
+                print(f"   Check Docker logs for details: docker logs ai-trader-server")
     
     def print_service_info(self):
         """Print service information"""
@@ -175,7 +167,6 @@ class MCPServiceManager:
         for service_id, service in self.services.items():
             print(f"  - {service['name']}: http://localhost:{service['port']} (PID: {service['process'].pid})")
 
-        print(f"\n📁 Log files location: {self.log_dir.absolute()}")
         print("\n🛑 Press Ctrl+C to stop all services")
     
     def keep_alive(self):

docker-compose.yml

@@ -7,7 +7,6 @@ services:
     container_name: ai-trader-server
     volumes:
       - ${VOLUME_PATH:-.}/data:/app/data
-      - ${VOLUME_PATH:-.}/logs:/app/logs
       # User configs mounted to /app/user-configs (default config baked into image)
       - ${VOLUME_PATH:-.}/configs:/app/user-configs
     environment:

docs/DOCKER.md

@@ -112,10 +112,9 @@ docker-compose up
 
 ### Volume Mounts
 
-Docker Compose mounts three volumes for persistent data. By default, these are stored in the project directory:
+Docker Compose mounts two volumes for persistent data. By default, these are stored in the project directory:
 
 - `./data:/app/data` - Price data and trading records
-- `./logs:/app/logs` - MCP service logs
 - `./configs:/app/configs` - Configuration files (allows editing configs without rebuilding)
 
 ### Custom Volume Location
@@ -132,7 +131,6 @@ VOLUME_PATH=./volumes
 
 This will store data in:
 - `/home/user/trading-data/data/`
-- `/home/user/trading-data/logs/`
 - `/home/user/trading-data/configs/`
 
 **Note:** The directory structure is automatically created. You'll need to copy your existing configs:
@@ -148,7 +146,7 @@ To reset all trading data:
 
 ```bash
 docker-compose down
-rm -rf ${VOLUME_PATH:-.}/data/agent_data/* ${VOLUME_PATH:-.}/logs/*
+rm -rf ${VOLUME_PATH:-.}/data/agent_data/*
 docker-compose up
 ```
 
@@ -175,8 +173,7 @@ docker pull ghcr.io/xe138/ai-trader-server:latest
 ```bash
 docker run --env-file .env \
   -v $(pwd)/data:/app/data \
-  -v $(pwd)/logs:/app/logs \
+  -p 8080:8080 \
-  -p 8000-8003:8000-8003 \
   ghcr.io/xe138/ai-trader-server:latest
 ```
 
@@ -192,9 +189,9 @@ docker pull ghcr.io/xe138/ai-trader-server:v1.0.0
 **Symptom:** Container exits immediately or errors about ports
 
 **Solutions:**
-- Check ports 8000-8003 not already in use: `lsof -i :8000-8003`
 - View container logs: `docker-compose logs`
-- Check MCP service logs: `cat logs/math.log`
+- Check if API port 8080 is already in use: `lsof -i :8080`
+- Verify MCP services started by checking Docker logs for service startup messages
 
 ### Missing API Keys
 
@@ -216,12 +213,12 @@ docker pull ghcr.io/xe138/ai-trader-server:v1.0.0
 
 ### Permission Issues
 
-**Symptom:** Cannot write to data or logs directories
+**Symptom:** Cannot write to data directory
 
 **Solutions:**
-- Ensure directories writable: `chmod -R 755 data logs`
+- Ensure data directory is writable: `chmod -R 755 data`
 - Check volume mount permissions
-- May need to create directories first: `mkdir -p data logs`
+- May need to create directory first: `mkdir -p data`
 
 ### Container Keeps Restarting
 
@@ -256,13 +253,12 @@ docker buildx build --platform linux/amd64,linux/arm64 -t ai-trader-server .
 docker stats ai-trader-server
 ```
 
-### Access MCP Services Directly
+### Access API Directly
 
-Services exposed on host:
+API server exposed on host:
-- Math: http://localhost:8000
+- REST API: http://localhost:8080
-- Search: http://localhost:8001
+
-- Trade: http://localhost:8002
+MCP services run internally and are not exposed to the host.
-- Price: http://localhost:8003
 
 ## Development Workflow