revert
Browse files- src/model.py +110 -151
src/model.py
CHANGED
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@@ -1215,115 +1215,74 @@ 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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#
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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*$', '', follow_up_text)
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parsed["follow_up_questions"] = [cleaned_text]
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# Try standard format for reasoning
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reasoning_match = re.search(r'(?i)reasoning:?\s*(.*?)(?:\n\n\Z|\n(?:sources|follow)|\Z)', response_text, re.DOTALL)
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if reasoning_match:
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reasoning_text = reasoning_match.group(1).strip()
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# Remove any leading markdown formatting (like ** for bold)
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reasoning_text = re.sub(r'^\*\*\s*', '', reasoning_text)
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# Process the rest of the items
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for i in range(1, len(lines)):
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if lines[i].strip():
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# Clean up leading/trailing asterisks and dashes
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cleaned_item = re.sub(r'^\s*[-*]*\s*|\s*\*\*\s*$', '', 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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@@ -1473,12 +1432,10 @@ def orchestrator_chat(history, query, use_rag, is_follow_up=False):
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Use no more than 3 sources and no fewer than 2 sources.
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**After your main response, ALWAYS include these sections:**
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- **Follow-up Questions**:
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-
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-
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DO NOT include bullets like "•" or "-" before your points.
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Each point should be on a new line.
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- **Sources**: A list of all references cited in your main response (2-3 sources), formatted as:
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- PMID: 12345678 - Author et al. (Year). Title. Journal.
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URL: https://pubmed.ncbi.nlm.nih.gov/12345678/
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@@ -1487,9 +1444,10 @@ def orchestrator_chat(history, query, use_rag, is_follow_up=False):
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**IMPORTANT FORMATTING NOTES:**
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1. Do NOT include technical information like URLs, PMIDs or DOIs in the main answer - these belong in the Sources section only.
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2.
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3.
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4.
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IMPORTANT: Only cite sources that were provided in the evidence. Do not fabricate references, PMIDs, or DOIs.
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"""
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@@ -1509,17 +1467,16 @@ def orchestrator_chat(history, query, use_rag, is_follow_up=False):
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3. Recommendations for a treatment plan or next steps.
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**After your main response, ALWAYS include these sections:**
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- **Follow-up Questions**:
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-
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DO NOT include bullets like "•" or "-" before your points.
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Each point should be on a new line.
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**IMPORTANT FORMATTING NOTES:**
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1.
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2.
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3.
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IMPORTANT: Since database search is disabled, do not include citations or sources in your response.
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"""
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@@ -1535,10 +1492,6 @@ def orchestrator_chat(history, query, use_rag, is_follow_up=False):
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# Remove any markdown formatting (** for bold) that might appear at the beginning of lines
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response = re.sub(r'\n\s*\*\*\s*', '\n', response)
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-
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# Remove any numbering or bullets the model might have included
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response = re.sub(r'\n\s*\d+\.\s+', '\n', response) # Remove numbered lists
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response = re.sub(r'\n\s*[-•*]\s+', '\n', response) # Remove bullet points
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# Extract and process sources
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explanation = None
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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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explanation = f"- {reasoning.strip()}"
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# Extract follow-up questions
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questions = parsed_response.get("follow_up_questions", [])
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-
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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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follow_up_questions = "\n".join([f"{i+1}. {q
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else:
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-
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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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-
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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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@@ -1624,11 +1593,6 @@ 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 as bullet points if it's not already
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if isinstance(explanation, list):
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explanation = "\n".join([f"- {point}" for point in explanation])
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elif not explanation.startswith("-"):
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explanation = "\n".join([f"- {point}" for point in explanation.split("\n")])
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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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@@ -1638,17 +1602,12 @@ 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 as numbered list if it's not already
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if isinstance(follow_up_questions, list):
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follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(follow_up_questions)])
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elif not follow_up_questions.startswith("1."):
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follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(follow_up_questions.split("\n"))])
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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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-
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# Check if we need to continue with follow-up or start a new case
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next_action = input("\nFollow-up? (or 'next' for new case, 'exit' to end): ")
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if treatment_match:
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parsed["treatment"] = treatment_match.group(2).strip()
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# Try to extract 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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+
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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 to extract reasoning if present
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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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Use no more than 3 sources and no fewer than 2 sources.
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**After your main response, ALWAYS include these sections:**
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- **Follow-up Questions**: Specific numbered questions starting from 1, not bullets.
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Do NOT start the first question with asterisks (**). Format each question properly with just a number.
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- **Reasoning**: Bullet points detailing your clinical reasoning.
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Do NOT start the first point with asterisks (**). Format each bullet point properly.
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- **Sources**: A list of all references cited in your main response (2-3 sources), formatted as:
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- PMID: 12345678 - Author et al. (Year). Title. Journal.
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URL: https://pubmed.ncbi.nlm.nih.gov/12345678/
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**IMPORTANT FORMATTING NOTES:**
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1. Do NOT include technical information like URLs, PMIDs or DOIs in the main answer - these belong in the Sources section only.
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2. For follow-up questions, use numbered format (1. 2. 3.) not bullet points.
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3. Number the follow-up questions starting from 1, not from any other number.
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4. NEVER use markdown formatting like ** (asterisks) at the beginning of any points, questions, or lines.
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5. Make sure all bullet points and numbered items are clean, with no markdown formatting.
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IMPORTANT: Only cite sources that were provided in the evidence. Do not fabricate references, PMIDs, or DOIs.
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"""
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| 1467 |
3. Recommendations for a treatment plan or next steps.
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| 1468 |
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| 1469 |
**After your main response, ALWAYS include these sections:**
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| 1470 |
+
- **Follow-up Questions**: Specific questions to gather additional information, numbered starting from 1 (not bullet points).
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| 1471 |
+
Do NOT start the first question with asterisks (**). Format each question properly with just a number.
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- **Reasoning**: Bullet points detailing your clinical reasoning.
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Do NOT start the first bullet point with asterisks (**). Format each point properly.
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**IMPORTANT FORMATTING NOTES:**
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| 1476 |
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1. For follow-up questions, use numbered format (1. 2. 3.) not bullet points.
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| 1477 |
+
2. Number the follow-up questions starting from 1, not from any other number.
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| 1478 |
+
3. NEVER use markdown formatting like ** (asterisks) at the beginning of any points, questions, or lines.
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4. Make sure all bullet points and numbered items are clean, with no markdown formatting.
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|
| 1481 |
IMPORTANT: Since database search is disabled, do not include citations or sources in your response.
|
| 1482 |
"""
|
|
|
|
| 1492 |
|
| 1493 |
# Remove any markdown formatting (** for bold) that might appear at the beginning of lines
|
| 1494 |
response = re.sub(r'\n\s*\*\*\s*', '\n', response)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1495 |
|
| 1496 |
# Extract and process sources
|
| 1497 |
explanation = None
|
|
|
|
| 1510 |
|
| 1511 |
# Extract reasoning for display
|
| 1512 |
reasoning = parsed_response.get("reasoning", [])
|
|
|
|
| 1513 |
if reasoning:
|
| 1514 |
if isinstance(reasoning, list):
|
| 1515 |
+
explanation = "\n".join([f"- {r}" for r in reasoning])
|
|
|
|
| 1516 |
else:
|
| 1517 |
+
explanation = reasoning
|
|
|
|
| 1518 |
|
| 1519 |
# Extract follow-up questions
|
| 1520 |
questions = parsed_response.get("follow_up_questions", [])
|
|
|
|
| 1521 |
if questions:
|
| 1522 |
if isinstance(questions, list):
|
| 1523 |
+
# Format as a numbered list starting with 1
|
| 1524 |
+
follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(questions) if q])
|
| 1525 |
else:
|
| 1526 |
+
follow_up_questions = questions
|
| 1527 |
+
|
| 1528 |
+
# Debug: Print follow-up questions
|
| 1529 |
+
print(f"Follow-up questions generated: {follow_up_questions}")
|
| 1530 |
else:
|
| 1531 |
# If RAG is disabled, just parse the response without source processing
|
| 1532 |
parsed_response = parse_doctor_response(response)
|
| 1533 |
main_response = parsed_response["main_response"]
|
| 1534 |
|
| 1535 |
+
# Extract reasoning
|
| 1536 |
+
reasoning = parsed_response.get("reasoning", [])
|
| 1537 |
+
if reasoning:
|
| 1538 |
+
if isinstance(reasoning, list):
|
| 1539 |
+
explanation = "\n".join([f"- {r}" for r in reasoning])
|
| 1540 |
+
else:
|
| 1541 |
+
explanation = reasoning
|
| 1542 |
+
|
| 1543 |
+
# Extract follow-up questions
|
| 1544 |
+
questions = parsed_response.get("follow_up_questions", [])
|
| 1545 |
+
if questions:
|
| 1546 |
+
if isinstance(questions, list):
|
| 1547 |
+
# Format as a numbered list starting with 1
|
| 1548 |
+
follow_up_questions = "\n".join([f"{i+1}. {q}" for i, q in enumerate(questions) if q])
|
| 1549 |
+
else:
|
| 1550 |
+
follow_up_questions = questions
|
| 1551 |
+
|
| 1552 |
+
# Debug: Print follow-up questions
|
| 1553 |
+
print(f"Follow-up questions generated: {follow_up_questions}")
|
| 1554 |
|
| 1555 |
# Return four values: main response, explanation, follow-up questions, and evidence
|
| 1556 |
return main_response, explanation, follow_up_questions, evidence_snippets
|
|
|
|
| 1593 |
print("=" * 30)
|
| 1594 |
# Ensure explanation is not empty before printing, or print a default message
|
| 1595 |
if explanation and explanation.strip() and explanation.strip() != "="*50:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1596 |
print(explanation)
|
| 1597 |
else:
|
| 1598 |
print("No detailed explanation or sources were generated for this response.")
|
|
|
|
| 1602 |
print("\n" + "=" * 30)
|
| 1603 |
print("FOLLOW-UP QUESTIONS")
|
| 1604 |
print("=" * 30)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1605 |
print(follow_up_questions)
|
| 1606 |
|
| 1607 |
# Add Open Access Legend if evidence sources were found
|
| 1608 |
if evidence:
|
| 1609 |
print("\nLEGEND: 🔓 = Open Access (full text available)")
|
| 1610 |
+
|
| 1611 |
# Check if we need to continue with follow-up or start a new case
|
| 1612 |
next_action = input("\nFollow-up? (or 'next' for new case, 'exit' to end): ")
|
| 1613 |
|