Revert "Docker support and Ollama support (#47)" (#57)

This reverts commit 78ea029a0b.

main.py

@@ -1,46 +1,21 @@
-import os
 from tradingagents.graph.trading_graph import TradingAgentsGraph
 from tradingagents.default_config import DEFAULT_CONFIG
-from dotenv import load_dotenv
 
-def run_analysis(config_overrides=None):
-    """
-    Initializes and runs a trading cycle with configurable overrides.
-    """
-    load_dotenv() # Load .env file variables
+# Create a custom config
+config = DEFAULT_CONFIG.copy()
+config["llm_provider"] = "google"  # Use a different model
+config["backend_url"] = "https://generativelanguage.googleapis.com/v1"  # Use a different backend
+config["deep_think_llm"] = "gemini-2.0-flash"  # Use a different model
+config["quick_think_llm"] = "gemini-2.0-flash"  # Use a different model
+config["max_debate_rounds"] = 1  # Increase debate rounds
+config["online_tools"] = True  # Increase debate rounds
 
-    config = DEFAULT_CONFIG.copy()
+# Initialize with custom config
+ta = TradingAgentsGraph(debug=True, config=config)
 
-    # Override with environment variables if set
-    config["llm_provider"] = os.environ.get("LLM_PROVIDER", config.get("llm_provider", "google"))
-    config["backend_url"] = os.environ.get("LLM_BACKEND_URL", config.get("backend_url", "https://generativelanguage.googleapis.com/v1"))
-    config["deep_think_llm"] = os.environ.get("LLM_DEEP_THINK_MODEL", config.get("deep_think_llm", "gemini-2.0-flash"))
-    config["quick_think_llm"] = os.environ.get("LLM_QUICK_THINK_MODEL", config.get("quick_think_llm", "gemini-2.0-flash"))
-    config["max_debate_rounds"] = int(os.environ.get("MAX_DEBATE_ROUNDS", config.get("max_debate_rounds", 1)))
-    config["online_tools"] = os.environ.get("ONLINE_TOOLS", str(config.get("online_tools", True))).lower() == 'true'
+# forward propagate
+_, decision = ta.propagate("NVDA", "2024-05-10")
+print(decision)
 
-
-    # Apply overrides from function argument
-    if config_overrides:
-        config.update(config_overrides)
-
-    print("Using configuration:")
-    for key, value in config.items():
-        print(f"{key}: {value}")
-        
-    # Initialize with the final config
-    ta = TradingAgentsGraph(debug=True, config=config)
-
-    # Forward propagate
-    _, decision = ta.propagate("NVDA", "2024-05-10")
-    return decision
-
-if __name__ == "__main__":
-    # Example of running the trading analysis
-    # You can override specific configurations here if needed, e.g.:
-    # decision = run_trading_cyrun_analysiscle(config_overrides={"max_debate_rounds": 2})
-    decision = run_analysis()
-    print(decision)
-
-    # Memorize mistakes and reflect
-    # ta.reflect_and_remember(1000) # parameter is the position returns
+# Memorize mistakes and reflect
+# ta.reflect_and_remember(1000) # parameter is the position returns