Update modules/prompts.py

modules/prompts.py

@@ -15,8 +15,8 @@ DISCLAIMER = (
 )
 
 
-# (This function remains the same)
 def get_query_correction_prompt(user_text: str) -> str:
+    """(V1.1 UPGRADE) Prompt to correct spelling and interpret medical colloquialisms."""
     return f"""
     You are an expert medical transcriptionist. Your task is to correct and clarify the following user query for a medical database search.
     - Correct all spelling and grammatical errors.
@@ -27,8 +27,8 @@ def get_query_correction_prompt(user_text: str) -> str:
     Response:
     """
 
-# (This function remains the same)
 def get_term_extraction_prompt(user_text: str) -> str:
+    """Prompt to pull structured medical concepts from a corrected user text."""
     return f"""
     From the user's corrected query below, extract the most relevant medical concepts, symptoms, or conditions.
     Return ONLY a Python-style list of strings.
@@ -36,10 +36,15 @@ def get_term_extraction_prompt(user_text: str) -> str:
     Response:
     """
 
-# ==============================================================================
-# V1.2 UPGRADE: The Symptom Synthesis prompt is now a "Narrative Briefing"
-# ==============================================================================
+
 def get_synthesis_prompt(user_query: str, concepts: list, pubmed_data: str, trials_data: str, fda_data: str, vision_analysis: str = "") -> str:
+    """(V1.2 UPGRADE) The master prompt for synthesizing all collected data for the Symptom Synthesizer."""
+    
+    # ==============================================================================
+    # THIS IS THE CORRECTED LINE THAT PREVENTS THE SYNTAX ERROR.
+    vision_section = f"## Analysis of Uploaded Image\n{vision_analysis}" if vision_analysis else ""
+    # ==============================================================================
+
     return f"""
     You are Asclepius, an expert medical information analyst. Your task is to transform raw medical data into a coherent, insightful, and beautifully formatted narrative report for a user.
 
@@ -66,16 +71,13 @@ def get_synthesis_prompt(user_query: str, concepts: list, pubmed_data: str, tria
     (Introduce this section by explaining this data comes from OpenFDA. Then, list the findings or state that none were found.)
     {fda_data if fda_data else "No specific adverse event data was found for this query."}
 
-    {f"## Analysis of Uploaded Image\\n{vision_analysis}" if vision_analysis else ""}
+    {vision_section}
 
     **Begin your report now. Adhere strictly to these directives.**
     """
 
-
-# ==============================================================================
-# V1.2 UPGRADE: The Drug Interaction prompt is now an "Executive Safety Briefing"
-# ==============================================================================
 def get_drug_interaction_synthesis_prompt(drug_names: list[str], interaction_data: str, safety_data: str) -> str:
+    """(V1.2 UPGRADE) The master prompt for the Drug Interaction & Safety Analyzer."""
     return f"""
     You are a specialist AI focused on drug safety analysis. Your task is to act as a clear, cautious, and organized pharmacist, explaining raw API data to a user.