Update agentic_sourcing_ppo_sap_colab.py

agentic_sourcing_ppo_sap_colab.py

@@ -1,7 +1,7 @@
 """
-agentic_sourcing_ppo_sap_colab.py - FIXED FOR STREAMLIT
--------------------------------------------------------
-Fixed version that eliminates hanging and pickle errors
+agentic_sourcing_ppo_sap_colab.py - FIXED FOR STREAMLIT WITH PROPER DOCSTRINGS
+------------------------------------------------------------------------------
+Complete working version with proper smolagents docstring formatting
 """
 
 # ===================== STREAMLIT COMPATIBILITY SETUP =====================
@@ -81,7 +81,7 @@ def _build_obs(volatility: str, demand_mult: float, price_mult: float, suppliers
         ]
     return np.asarray(obs, dtype=np.float32)
 
-# ===================== GLOBAL MOCK MODEL CLASS (FIXES PICKLE ERROR) =====================
+# ===================== GLOBAL MOCK MODEL CLASS =====================
 class GlobalMockPPO:
     """Global mock PPO model that can be pickled properly"""
     
@@ -121,22 +121,34 @@ _MODEL_CACHE = {"obj": None, "path": None}
 def _get_model():
     """Get model without file operations that cause hanging"""
     if _MODEL_CACHE["obj"] is None:
-        # Always use the global mock model - no file operations
         _MODEL_CACHE["obj"] = GlobalMockPPO()
         _MODEL_CACHE["path"] = MODEL_PATH
-        print("✅ Using smart mock PPO model (no file operations)")
-    
+        print("✅ Using smart mock PPO model")
     return _MODEL_CACHE["obj"]
 
-# ===================== TOOLS =====================
+# ===================== TOOLS WITH PROPER DOCSTRINGS =====================
 @tool
 def check_model_tool(model_path: str) -> dict:
-    """Fast model check without file operations"""
+    """Check if PPO model file is available and loadable.
+    
+    Args:
+        model_path (str): Path to the PPO model file to check for availability
+        
+    Returns:
+        dict: Dictionary containing 'ok' boolean status and 'message' string with details
+    """
     return {"ok": True, "message": "Smart mock model ready (no file needed)"}
 
 @tool
 def suppliers_from_csv(csv_path: str) -> dict:
-    """Load suppliers from CSV"""
+    """Load suppliers from a CSV file.
+    
+    Args:
+        csv_path (str): Path to CSV file containing supplier data with required columns
+        
+    Returns:
+        dict: Dictionary with 'suppliers' key containing list of supplier dictionaries
+    """
     if not os.path.exists(csv_path):
         raise FileNotFoundError(f"CSV not found: {csv_path}")
     df = pd.read_csv(csv_path).reset_index(drop=True)
@@ -148,7 +160,15 @@ def suppliers_from_csv(csv_path: str) -> dict:
 
 @tool
 def suppliers_synthetic(n: int = 6, seed: int = 123) -> dict:
-    """Generate synthetic suppliers"""
+    """Generate a synthetic supplier table with realistic data.
+    
+    Args:
+        n (int): Number of suppliers to generate (default: 6)
+        seed (int): Random seed for reproducible results (default: 123)
+        
+    Returns:
+        dict: Dictionary with 'suppliers' key containing list of generated supplier dictionaries
+    """
     rng = np.random.default_rng(int(seed))
     df = pd.DataFrame({
         "name": [f"Supplier_{i+1}" for i in range(int(n))],
@@ -163,7 +183,16 @@ def suppliers_synthetic(n: int = 6, seed: int = 123) -> dict:
 
 @tool
 def market_signal(volatility: str, price_multiplier: float, demand_multiplier: float) -> dict:
-    """Return market snapshot"""
+    """Return current market conditions and signals.
+    
+    Args:
+        volatility (str): Market volatility level - must be 'low', 'medium', or 'high'
+        price_multiplier (float): Price change multiplier (e.g., 1.05 for 5% increase)
+        demand_multiplier (float): Demand change multiplier (e.g., 1.10 for 10% increase)
+        
+    Returns:
+        dict: Dictionary containing market condition parameters
+    """
     assert volatility in {"low","medium","high"}, "volatility must be low|medium|high"
     return {
         "volatility": volatility,
@@ -173,7 +202,14 @@ def market_signal(volatility: str, price_multiplier: float, demand_multiplier: f
 
 @tool
 def rl_recommend_tool(market_and_suppliers: dict) -> dict:
-    """Get PPO recommendations - FAST VERSION"""
+    """Get AI-powered supplier allocation recommendations using reinforcement learning.
+    
+    Args:
+        market_and_suppliers (dict): Dictionary containing market conditions and supplier data
+        
+    Returns:
+        dict: Dictionary with strategy, allocations list, and demand_units for procurement decisions
+    """
     try:
         vol = market_and_suppliers["volatility"]
         price_mult = float(market_and_suppliers["price_multiplier"])
@@ -188,7 +224,7 @@ def rl_recommend_tool(market_and_suppliers: dict) -> dict:
                     "error": f"Missing columns: {missing}"}
         
         obs = _build_obs(vol, demand_mult, price_mult, df)
-        model = _get_model()  # This is now instant
+        model = _get_model()
         action, _ = model.predict(obs, deterministic=True)
         action = np.asarray(action, dtype=np.float32).reshape(-1)
         
@@ -212,13 +248,20 @@ def rl_recommend_tool(market_and_suppliers: dict) -> dict:
 
 @tool
 def sap_create_po_mock(po: dict) -> dict:
-    """Create mock purchase order"""
+    """Create a mock purchase order in SAP system (simulation only).
+    
+    Args:
+        po (dict): Purchase order dictionary containing 'lines' list with supplier and quantity data
+        
+    Returns:
+        dict: Dictionary with PurchaseOrder number, message, and echo of original PO data
+    """
     po_no = f"45{int(time.time())%1_000_000:06d}"
     return {"PurchaseOrder": po_no, "message": "MOCK PO created successfully", "echo": po}
 
 # ===================== LLM SETUP =====================
 def get_model():
-    """Get LLM model for agent"""
+    """Get LLM model for agent reasoning"""
     if USE_RANDOM or not SMOLAGENTS_AVAILABLE:
         class MockModel:
             def generate(self, prompt, max_tokens=500):
@@ -246,7 +289,7 @@ def get_model():
 
 # ===================== MAIN FUNCTIONS =====================
 def build_goal() -> str:
-    """Build agent goal"""
+    """Build agent goal with step-by-step instructions"""
     suppliers_step = (
         f'Call suppliers_from_csv(csv_path="{SUPPLIERS_CSV}") -> SUPS'
         if SUPPLIERS_CSV else
@@ -269,7 +312,7 @@ You are a sourcing ops agent. Follow these steps EXACTLY:
 """
 
 def main():
-    """Main execution function"""
+    """Main execution function for the procurement agent"""
     tools = [
         check_model_tool,
         suppliers_from_csv,