update files

graders/__init__.py

@@ -1 +1,5 @@
-# Graders package
+from .task1_grader import grade_task1
+from .task2_grader import grade_task2
+from .task3_grader import grade_task3
+
+__all__ = ['grade_task1', 'grade_task2', 'grade_task3']

graders/task1_grader.py

@@ -1,13 +1,20 @@
 def grade_task1(agent_action, observation):
-    """Task 1: Fetch Market Data"""
+    
     score = 0.0
     
-    # Check if agent requested price
-    if agent_action.type == "GET_PRICE":
-        score += 0.5
+    # Check if action was GET_PRICE (0.01 to 0.49 range)
+    if agent_action.get("type") == "GET_PRICE":
+        score += 0.45  # Not 0.5 to avoid exactly 0.5
+    
+    # Check if observation has a valid price (0.01 to 0.49 range)
+    price = observation.get("price", 0)
+    if price > 0:
+        score += 0.45  # Not 0.5 to avoid exactly 0.5
     
-    # Check if observation has price
-    if observation.price > 0:
-        score += 0.5
+    # Ensured score is never 0.0 or 1.0
+    if score == 0.0:
+        score = 0.01  # Minimum positive score
+    elif score >= 0.99:
+        score = 0.98  # Maximum score below 1.0
     
-    return score
+    return round(score, 2)

graders/task2_grader.py

@@ -1,14 +1,26 @@
 def grade_task2(agent_action, observation):
-    """Grade Task 2: News Sentiment Analysis"""
+    
     score = 0.0
     
-    # Check if agent gave an explanation
-    if agent_action.get("explanation") and len(agent_action.get("explanation", "")) > 10:
-        score += 0.5
+    # Check if agent gave an explanation (0.01 to 0.49 range)
+    explanation = agent_action.get("explanation", "")
+    if explanation and len(explanation) > 10:
+        score += 0.45
     
-    # Check if action is valid (BUY/SELL/HOLD recommendation)
+    # Check if action type is valid (BUY/SELL/GET_NEWS)
     action_type = agent_action.get("type", "")
-    if action_type in ["BUY", "SELL", "GET_NEWS"]:
-        score += 0.5
+    if action_type in ["BUY", "SELL", "GET_NEWS", "HOLD"]:
+        score += 0.45
+    
+    # Check if news sentiment was considered
+    sentiment = observation.get("last_news", {}).get("sentiment", "")
+    if sentiment in ["positive", "negative", "neutral"]:
+        score += 0.05
+    
+    # Ensure score is never 0.0 or 1.0
+    if score == 0.0:
+        score = 0.01
+    elif score >= 0.99:
+        score = 0.98
     
-    return score
+    return round(score, 2)

graders/task3_grader.py

@@ -1,15 +1,26 @@
 def grade_task3(agent_action, observation):
-    """Grade Task 3: Backtest Strategy"""
+    
     score = 0.0
     
-    # Check if backtest results exist
+    # Check if backtest results exist (0.01 to 0.49 range)
     backtest_results = observation.get("backtest_results")
     if backtest_results:
-        # Check for Sharpe ratio
-        if backtest_results.get("sharpe_ratio", 0) > 0:
-            score += 0.5
-        # Check for max drawdown
-        if backtest_results.get("max_drawdown", 1) < 1:
-            score += 0.5
-    
-    return score
+        score += 0.45
+    
+    # Check for Sharpe ratio (0.01 to 0.49 range)
+    sharpe = backtest_results.get("sharpe_ratio", 0) if backtest_results else 0
+    if sharpe > 0:
+        score += 0.45
+    
+    # Small bonus for reasonable drawdown
+    drawdown = backtest_results.get("max_drawdown", 1) if backtest_results else 1
+    if drawdown < 0.5:
+        score += 0.05
+    
+    # Ensure score is never 0.0 or 1.0
+    if score == 0.0:
+        score = 0.01
+    elif score >= 0.99:
+        score = 0.98
+    
+    return round(score, 2)