Oracle weight assigning update

Oracle/deepfundingoracle.py

@@ -235,7 +235,7 @@ def timeout_handler(signum, frame):
 
 
 
-def assign_base_weight(df, max_workers=32, llm_retries=3,llm_delay=2):
+def assign_base_weight(df, max_workers=32, llm_retries=2,llm_delay=0):
     """
     Assign base weights using a single LLM call to determine feature weights,
     and programmatically calculate repository weights.
@@ -247,15 +247,7 @@ def assign_base_weight(df, max_workers=32, llm_retries=3,llm_delay=2):
 
     # Step 1: Call LLM once to determine weights for each feature
     prompt = (
-        "The following are GitHub repository features:\n"
-        "- Stars\n"
-        "- Forks\n"
-        "- Watchers\n"
-        "- Open Issues\n"
-        "- Pull Requests\n"
-        "- Activity (days since last update)\n"
-        "- Contributors\n\n"
-        "Can you Predict a weight in the range (0-1) to each feature listed above based on its importance in determining "
+        "Can you Predict a weight in the range (0-1) for these github features such as stars,forks,watchers,open_issues,pulls,activity,contributors based on its importance in determining "
         "the influence of a repository. Output ONLY a valid JSON object with keys as feature names and values as the predicted weights. "
         "Do not include any explanation or extra text. here is an output example: \n"
         '{\n'