fix: use ~/.tradingagents/ for cache and logs, resolving Docker permission issue (#519)

docker-compose.yml

@@ -4,7 +4,7 @@ services:
     env_file:
       - .env
     volumes:
-      - ./results:/home/appuser/app/results
+      - tradingagents_data:/home/appuser/.tradingagents
     tty: true
     stdin_open: true
 
@@ -22,7 +22,7 @@ services:
     environment:
       - LLM_PROVIDER=ollama
     volumes:
-      - ./results:/home/appuser/app/results
+      - tradingagents_data:/home/appuser/.tradingagents
     depends_on:
       - ollama
     tty: true
@@ -31,4 +31,5 @@ services:
       - ollama
 
 volumes:
+  tradingagents_data:
   ollama_data:

tradingagents/default_config.py

@@ -1,12 +1,11 @@
 import os
 
+_TRADINGAGENTS_HOME = os.path.join(os.path.expanduser("~"), ".tradingagents")
+
 DEFAULT_CONFIG = {
     "project_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
-    "results_dir": os.getenv("TRADINGAGENTS_RESULTS_DIR", "./results"),
+    "results_dir": os.getenv("TRADINGAGENTS_RESULTS_DIR", os.path.join(_TRADINGAGENTS_HOME, "logs")),
-    "data_cache_dir": os.path.join(
+    "data_cache_dir": os.getenv("TRADINGAGENTS_CACHE_DIR", os.path.join(_TRADINGAGENTS_HOME, "cache")),
-        os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
-        "dataflows/data_cache",
-    ),
     # LLM settings
     "llm_provider": "openai",
     "deep_think_llm": "gpt-5.4",

tradingagents/graph/trading_graph.py

@@ -66,10 +66,8 @@ class TradingAgentsGraph:
         set_config(self.config)
 
         # Create necessary directories
-        os.makedirs(
+        os.makedirs(self.config["data_cache_dir"], exist_ok=True)
-            os.path.join(self.config["project_dir"], "dataflows/data_cache"),
+        os.makedirs(self.config["results_dir"], exist_ok=True)
-            exist_ok=True,
-        )
 
         # Initialize LLMs with provider-specific thinking configuration
         llm_kwargs = self._get_provider_kwargs()