Update src/model.py
Browse files- src/model.py +128 -185
src/model.py
CHANGED
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@@ -1215,74 +1215,115 @@ def parse_doctor_response(response_text):
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if treatment_match:
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parsed["treatment"] = treatment_match.group(2).strip()
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# Extract sources/references
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sources_match = re.search(r'(?i)(sources|references):?\s*(.*?)(?:\n\n\Z|\Z)', response_text, re.DOTALL)
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@@ -1516,89 +1557,31 @@ def orchestrator_chat(history, query, use_rag, is_follow_up=False):
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# Extract reasoning for display
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reasoning = parsed_response.get("reasoning", [])
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if reasoning:
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if isinstance(reasoning, list):
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explanation = "\n".join([f"- {r.strip()}" for r in reasoning if r.strip()])
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else:
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-
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# Extract follow-up questions
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questions = parsed_response.get("follow_up_questions", [])
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if questions:
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if isinstance(questions, list):
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# Format as a numbered list
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clean_questions = []
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for q in questions:
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if q.strip():
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# Remove any existing numbering or bullets
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clean_q = re.sub(r'^\s*\d+\.\s+', '', q.strip())
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clean_q = re.sub(r'^\s*[-•*]\s+', '', clean_q)
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clean_questions.append(clean_q)
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# Add proper numbering
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follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(clean_questions) if q])
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else:
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#
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clean_questions = []
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for q in question_lines:
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if q.strip():
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# Remove any existing numbering or bullets
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clean_q = re.sub(r'^\s*\d+\.\s+', '', q.strip())
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clean_q = re.sub(r'^\s*[-•*]\s+', '', clean_q)
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clean_questions.append(clean_q)
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follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(clean_questions) if q])
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# Debug: Print follow-up questions
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print(f"Follow-up questions generated: {follow_up_questions}")
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else:
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# If RAG is disabled, just parse the response without source processing
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parsed_response = parse_doctor_response(response)
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main_response = parsed_response["main_response"]
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# Extract
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reasoning = parsed_response.get("reasoning", [])
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if reasoning:
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if isinstance(reasoning, list):
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# Add bullet points to reasoning items
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explanation = "\n".join([f"- {r.strip()}" for r in reasoning if r.strip()])
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else:
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# If it's a string, split by newlines and format each line as a bullet point
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reasoning_lines = reasoning.split('\n')
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explanation = "\n".join([f"- {r.strip()}" for r in reasoning_lines if r.strip()])
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# Extract follow-up questions
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questions = parsed_response.get("follow_up_questions", [])
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if questions:
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if isinstance(questions, list):
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# Clean each question and add proper numbering
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clean_questions = []
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for q in questions:
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if q.strip():
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# Remove any existing numbering or bullets
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clean_q = re.sub(r'^\s*\d+\.\s+', '', q.strip())
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clean_q = re.sub(r'^\s*[-•*]\s+', '', clean_q)
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clean_questions.append(clean_q)
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follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(clean_questions) if q])
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else:
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# If it's a string, split by newlines and format each line as a question
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question_lines = questions.split('\n')
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clean_questions = []
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for q in question_lines:
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if q.strip():
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# Remove any existing numbering or bullets
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clean_q = re.sub(r'^\s*\d+\.\s+', '', q.strip())
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clean_q = re.sub(r'^\s*[-•*]\s+', '', clean_q)
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clean_questions.append(clean_q)
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follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(clean_questions) if q])
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# Debug: Print follow-up questions
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print(f"Follow-up questions generated: {follow_up_questions}")
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# Return four values: main response, explanation, follow-up questions, and evidence
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return main_response, explanation, follow_up_questions, evidence_snippets
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@@ -1641,26 +1624,11 @@ def run_consultation(use_rag=True):
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print("=" * 30)
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# Ensure explanation is not empty before printing, or print a default message
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if explanation and explanation.strip() and explanation.strip() != "="*50:
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# Format explanation
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if
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# Better sentence splitting with regex
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sentences = re.split(r'(?<=[.!])\s+', explanation)
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for point in sentences:
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if point.strip() and len(point.strip()) > 10: # Avoid very short fragments
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formatted_explanation.append(f"- {point.strip()}" + ("." if not point.strip().endswith((".", "!", "?")) else ""))
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# If we didn't get good splitting, try a simpler approach
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if len(formatted_explanation) <= 1 and len(explanation) > 50:
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formatted_explanation = []
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lines = explanation.split(". ")
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for line in lines:
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if line.strip():
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formatted_explanation.append(f"- {line.strip()}.")
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explanation = "\n".join(formatted_explanation)
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print(explanation)
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else:
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print("No detailed explanation or sources were generated for this response.")
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@@ -1670,38 +1638,13 @@ def run_consultation(use_rag=True):
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print("\n" + "=" * 30)
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print("FOLLOW-UP QUESTIONS")
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print("=" * 30)
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# Format questions
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if
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# Modified regex to handle different question formats
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for q in re.split(r'(?<=[?])\s+', follow_up_questions):
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if q.strip():
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if not q.strip().endswith("?"):
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# If this doesn't end with a question mark, it might be multiple questions
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subquestions = re.split(r'(?<=\?)\s+', q)
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for sq in subquestions:
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if sq.strip():
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formatted_questions.append(f"{i}. {sq.strip()}" + ("?" if not sq.strip().endswith("?") else ""))
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i += 1
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else:
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formatted_questions.append(f"{i}. {q.strip()}")
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i += 1
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# If we couldn't split properly, try another approach - just add line breaks after each sentence
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if len(formatted_questions) <= 1 and len(follow_up_questions) > 50:
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formatted_questions = []
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i = 1
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sentences = re.split(r'[.?]\s+', follow_up_questions)
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for s in sentences:
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if s.strip() and len(s.strip()) > 10: # Avoid very short fragments
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formatted_questions.append(f"{i}. {s.strip()}?")
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i += 1
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follow_up_questions = "\n".join(formatted_questions)
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print(follow_up_questions)
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# Add Open Access Legend if evidence sources were found
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if evidence:
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print("\nLEGEND: 🔓 = Open Access (full text available)")
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if treatment_match:
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parsed["treatment"] = treatment_match.group(2).strip()
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# Special case handling for "Additional Questions" followed by "Show Reasoning" format
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if "Additional Questions" in response_text and "Show Reasoning" in response_text:
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# Extract all content between "Additional Questions" and "Show Reasoning"
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additional_questions_match = re.search(r'Additional Questions\s*\n\s*\n(.*?)(?=\nShow Reasoning)', response_text, re.DOTALL)
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if additional_questions_match:
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questions_text = additional_questions_match.group(1).strip()
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# If it has numbered questions, parse those
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if re.search(r'^\d+\.', questions_text):
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# It's a numbered list - split by the numbers
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questions = []
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for q in re.split(r'\d+\.\s+', questions_text):
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if q.strip():
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questions.append(q.strip())
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parsed["follow_up_questions"] = questions
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else:
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# Try to split by question marks
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questions = []
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for q in re.split(r'\?\s+', questions_text):
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if q.strip():
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questions.append(q.strip() + "?")
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parsed["follow_up_questions"] = questions
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# Extract all content after "Show Reasoning"
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show_reasoning_match = re.search(r'Show Reasoning\s*\n\s*\n(.*?)(?:\n\n|\Z)', response_text, re.DOTALL)
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if show_reasoning_match:
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reasoning_text = show_reasoning_match.group(1).strip()
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# If it has bullet points, parse those
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if reasoning_text.startswith('-') or '\n-' in reasoning_text:
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reasoning_points = []
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for line in reasoning_text.split('\n'):
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if line.strip().startswith('-'):
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# Remove the bullet point
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reasoning_points.append(line.strip()[1:].strip())
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elif line.strip():
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reasoning_points.append(line.strip())
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parsed["reasoning"] = reasoning_points
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else:
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# Just split by sentences
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sentences = re.split(r'(?<=[.!])\s+', reasoning_text)
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parsed["reasoning"] = [s.strip() for s in sentences if s.strip()]
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else:
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# Try standard format for follow-up questions
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follow_up_match = re.search(r'(?i)(?:follow[ -]?up questions|additional questions|clarifying questions):?\s*(.*?)(?:\n\n|\n(?:reasoning|sources):|\Z)', response_text, re.DOTALL)
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if follow_up_match:
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follow_up_text = follow_up_match.group(1).strip()
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# Remove any leading markdown formatting (like ** for bold)
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follow_up_text = re.sub(r'^\*\*\s*', '', follow_up_text)
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# Check if questions are formatted as a list
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if '\n-' in follow_up_text or '\n•' in follow_up_text or '\n*' in follow_up_text:
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# Split on any bullet point marker
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bullet_items = re.split(r'\n\s*[-•*]\s*', follow_up_text)
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# Remove any empty items and ensure first item is properly formatted
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questions = []
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for item in bullet_items:
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if item.strip():
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# Remove any markdown formatting from each item
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cleaned_item = re.sub(r'^\s*\*\*\s*|\s*\*\*\s*$', '', item.strip())
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questions.append(cleaned_item)
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parsed["follow_up_questions"] = questions
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elif '\n1.' in follow_up_text or re.search(r'\n\d+\.', follow_up_text):
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# Split on numbered items
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numbered_items = re.split(r'\n\s*\d+\.\s*', follow_up_text)
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# Clean each item and remove any empty ones
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questions = []
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for item in numbered_items:
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if item.strip():
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# Remove any markdown formatting
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cleaned_item = re.sub(r'^\s*\*\*\s*|\s*\*\*\s*$', '', item.strip())
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questions.append(cleaned_item)
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parsed["follow_up_questions"] = questions
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else:
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# Just use the raw text if no clear list format is detected
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cleaned_text = re.sub(r'^\s*\*\*\s*|\s*\*\*\s*$', '', follow_up_text)
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parsed["follow_up_questions"] = [cleaned_text]
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# Try standard format for reasoning
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reasoning_match = re.search(r'(?i)reasoning:?\s*(.*?)(?:\n\n\Z|\n(?:sources|follow)|\Z)', response_text, re.DOTALL)
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if reasoning_match:
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reasoning_text = reasoning_match.group(1).strip()
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# Remove any leading markdown formatting (like ** for bold)
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reasoning_text = re.sub(r'^\*\*\s*', '', reasoning_text)
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# Split into bullet points if present
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if '\n-' in reasoning_text:
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# Split by newline + dash, but ensure we don't lose any content
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reasoning_points = []
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lines = reasoning_text.split('\n-')
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# Process the first item which might not have a dash prefix
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if lines and lines[0].strip():
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# Clean up any leading/trailing asterisks
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first_item = re.sub(r'^\s*\*\*\s*|\s*\*\*\s*$', '', lines[0].strip())
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if first_item:
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reasoning_points.append(first_item)
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# Process the rest of the items
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for i in range(1, len(lines)):
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if lines[i].strip():
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# Clean up leading/trailing asterisks and dashes
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cleaned_item = re.sub(r'^\s*[-*]*\s*|\s*\*\*\s*$', '', lines[i].strip())
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if cleaned_item:
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reasoning_points.append(cleaned_item)
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parsed["reasoning"] = reasoning_points
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else:
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# If there are no bullet points, still clean up any markdown
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cleaned_text = re.sub(r'^\s*\*\*\s*|\s*\*\*\s*$', '', reasoning_text)
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parsed["reasoning"] = [cleaned_text]
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# Extract sources/references
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sources_match = re.search(r'(?i)(sources|references):?\s*(.*?)(?:\n\n\Z|\Z)', response_text, re.DOTALL)
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# Extract reasoning for display
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reasoning = parsed_response.get("reasoning", [])
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if reasoning:
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| 1562 |
if isinstance(reasoning, list):
|
| 1563 |
+
# Join with bullet points if it's a list
|
| 1564 |
explanation = "\n".join([f"- {r.strip()}" for r in reasoning if r.strip()])
|
| 1565 |
else:
|
| 1566 |
+
# It's a single string - format as bullet points
|
| 1567 |
+
explanation = f"- {reasoning.strip()}"
|
| 1568 |
|
| 1569 |
# Extract follow-up questions
|
| 1570 |
questions = parsed_response.get("follow_up_questions", [])
|
| 1571 |
+
|
| 1572 |
if questions:
|
| 1573 |
if isinstance(questions, list):
|
| 1574 |
+
# Format as a numbered list
|
| 1575 |
+
follow_up_questions = "\n".join([f"{i+1}. {q.strip()}" for i, q in enumerate(questions) if q.strip()])
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|
| 1576 |
else:
|
| 1577 |
+
# It's a single string - format as a single question
|
| 1578 |
+
follow_up_questions = f"1. {questions.strip()}"
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|
| 1579 |
else:
|
| 1580 |
# If RAG is disabled, just parse the response without source processing
|
| 1581 |
parsed_response = parse_doctor_response(response)
|
| 1582 |
main_response = parsed_response["main_response"]
|
| 1583 |
|
| 1584 |
+
# Extract reasoning reasoning = parsed_response.get("reasoning", []) if reasoning: if isinstance(reasoning, list): # Join with bullet points if it's a list explanation = "\n".join([f"- {r.strip()}" for r in reasoning if r.strip()]) else: # It's a single string - format as bullet points explanation = f"- {reasoning.strip()}" # Extract follow-up questions questions = parsed_response.get("follow_up_questions", []) if questions: if isinstance(questions, list): # Format as a numbered list follow_up_questions = "\n".join([f"{i+1}. {q.strip()}" for i, q in enumerate(questions) if q.strip()]) else: # It's a single string - format as a single question follow_up_questions = f"1. {questions.strip()}"
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|
| 1585 |
|
| 1586 |
# Return four values: main response, explanation, follow-up questions, and evidence
|
| 1587 |
return main_response, explanation, follow_up_questions, evidence_snippets
|
|
|
|
| 1624 |
print("=" * 30)
|
| 1625 |
# Ensure explanation is not empty before printing, or print a default message
|
| 1626 |
if explanation and explanation.strip() and explanation.strip() != "="*50:
|
| 1627 |
+
# Format explanation as bullet points if it's not already
|
| 1628 |
+
if isinstance(explanation, list):
|
| 1629 |
+
explanation = "\n".join([f"- {point}" for point in explanation])
|
| 1630 |
+
elif not explanation.startswith("-"):
|
| 1631 |
+
explanation = "\n".join([f"- {point}" for point in explanation.split("\n")])
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|
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|
| 1632 |
print(explanation)
|
| 1633 |
else:
|
| 1634 |
print("No detailed explanation or sources were generated for this response.")
|
|
|
|
| 1638 |
print("\n" + "=" * 30)
|
| 1639 |
print("FOLLOW-UP QUESTIONS")
|
| 1640 |
print("=" * 30)
|
| 1641 |
+
# Format questions as numbered list if it's not already
|
| 1642 |
+
if isinstance(follow_up_questions, list):
|
| 1643 |
+
follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(follow_up_questions)])
|
| 1644 |
+
elif not follow_up_questions.startswith("1."):
|
| 1645 |
+
follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(follow_up_questions.split("\n"))])
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|
|
|
|
| 1646 |
print(follow_up_questions)
|
| 1647 |
+
|
| 1648 |
# Add Open Access Legend if evidence sources were found
|
| 1649 |
if evidence:
|
| 1650 |
print("\nLEGEND: 🔓 = Open Access (full text available)")
|