Steps for running cli from docker

Docker-readme.md

@@ -59,11 +59,23 @@ docker run --rm \
 ```
 Adjust environment variables as needed for your local setup.
 
+### Run the TradingAgents CLI
+To run the cli interface
+```bash
+docker run --rm \
+  -e LLM_PROVIDER="ollama" \
+  -e LLM_BACKEND_URL="http://localhost:11434/v1" \
+  # Add other necessary environment variables for main.py
+  tradingagents python -m cli.main
+```
+Adjust environment variables as needed for your local setup.
+
 ### Using Docker Compose
 
 For a more streamlined local development experience, you can use Docker Compose. The `docker-compose.yml` file in the project root is configured to use the existing `Dockerfile`.
 
 **Build and Run Tests:**
+
 The default command in `docker-compose.yml` is set to run the test suite.
 ```bash
 docker-compose up --build
@@ -78,12 +90,20 @@ docker-compose run --rm app python test_ollama_connection.py
 ```
 
 **Run the Main Application:**
+
 To run the `main.py` script, you can override the default command:
 ```bash
 docker-compose run --rm app python main.py
 ```
 Or, you can modify the `command` in `docker-compose.yml` if you primarily want `docker-compose up` to run the main application.
 
+**Run the TradingAgents CLI Application:**
+
+To run the `cli/main.py` script, you can override the default command:
+```bash
+docker-compose run --it app python -m cli.main
+```
+
 **Environment Variables:**
 The necessary environment variables (like `LLM_PROVIDER`, `LLM_BACKEND_URL`, model names, etc.) are pre-configured in the `docker-compose.yml` for the `app` service. Ollama is started by the entrypoint script within the same container, so `LLM_BACKEND_URL` is set to `http://localhost:11434/v1`.
 

cli/utils.py

@@ -151,6 +151,7 @@ def select_shallow_thinking_agent(provider) -> str:
         ],
         "ollama": [
             ("llama3.2 local", "llama3.2"),
+            ("qwen3 local", "qwen3:0.6b"),
         ]
     }
 

docker-compose.yml

@@ -6,6 +6,7 @@ services:
     volumes:
       - .:/app # Mount current directory to /app in container for live code changes
       - ./.ollama:/app/.ollama # Cache Ollama models
+      - ./data:/app/data # Mount data directory for data files
     #environment:
     #  - LLM_PROVIDER=ollama
     #  - LLM_BACKEND_URL=http://localhost:11434/v1
@@ -20,8 +21,7 @@ services:
     env_file:
       - .env # Load environment variables from files.env
     #command: python test_ollama_connection.py # Uncomment to run a specific test script
-    # If you want `docker-compose up` to run tests and then exit, this command is fine.
+    #command: python -m cli.main # Uncomment to run cli interface
-    # If you want `docker-compose up` to run main.py, change command or remove it to use Dockerfile's CMD.
     # For more flexibility, users can override the command when using `docker-compose run`.
     ports:
       - "11434:11434" # Expose port 11434 for Ollama  

tradingagents/default_config.py

@@ -2,7 +2,10 @@ import os
 
 DEFAULT_CONFIG = {
     "project_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
-    "data_dir": "/Users/yluo/Documents/Code/ScAI/FR1-data",
+    "data_dir": os.path.join(
+        os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
+        "data",
+    ),
     "data_cache_dir": os.path.join(
         os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
         "dataflows/data_cache",