Update endpoints.py
Browse files- endpoints.py +29 -84
endpoints.py
CHANGED
@@ -3,45 +3,24 @@ from fastapi.responses import StreamingResponse, JSONResponse
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from fastapi.encoders import jsonable_encoder
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from typing import Optional
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from models import ChatRequest, VoiceOutputRequest, RiskLevel
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from
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from bson import ObjectId
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import asyncio
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from config import notifications_collection, send_push_notification, decode_access_token, AUTH_SPACE_URL, logger
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import httpx
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from utils import clean_text_response
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from analysis import analyze_patient_report
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from voice import recognize_speech, text_to_speech, extract_text_from_pdf
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from docx import Document
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import re
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import io
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-
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if not token:
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raise HTTPException(status_code=401, detail="Authorization token required")
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if token.startswith("Bearer "):
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token = token.split(" ")[1]
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payload = decode_access_token(token)
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if not payload:
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raise HTTPException(status_code=401, detail="Invalid token")
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email = payload.get("sub")
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if not email:
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raise HTTPException(status_code=401, detail="Invalid token payload")
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# Fetch user from auth Space
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async with httpx.AsyncClient() as client:
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headers = {"Authorization": f"Bearer {token}"}
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response = await client.get(f"{AUTH_SPACE_URL}/me", headers=headers)
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if response.status_code != 200:
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raise HTTPException(status_code=response.status_code, detail="Could not validate credentials")
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user = response.json()
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return user
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def create_router(agent, logger, patients_collection, analysis_collection, users_collection, notifications_collection):
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router = APIRouter()
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@router.get("/status")
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async def status(current_user: dict = Depends(get_current_user)):
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logger.info(f"Status endpoint accessed by {current_user['email']}
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return {
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"status": "running",
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"timestamp": datetime.utcnow().isoformat(),
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@@ -54,7 +33,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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name: Optional[str] = Query(None),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Fetching analysis results by {current_user['email']}
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try:
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query = {}
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if name:
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@@ -70,7 +49,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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for analysis in analyses:
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patient = await patients_collection.find_one({"fhir_id": analysis.get("patient_id")})
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if not patient:
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continue
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analysis["full_name"] = patient.get("full_name", "Unknown")
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analysis["_id"] = str(analysis["_id"])
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enriched_results.append(analysis)
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@@ -78,31 +57,15 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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return enriched_results
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except Exception as e:
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logger.error(f"Error fetching analysis results: {
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raise HTTPException(status_code=500, detail="Failed to retrieve analysis results")
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@router.get("/notifications")
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async def get_notifications(current_user: dict = Depends(get_current_user)):
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logger.info(f"Fetching notifications for {current_user['email']} at {datetime.utcnow().isoformat()}")
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try:
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notifications = await notifications_collection.find(
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{"recipient_email": current_user["email"]}
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).sort("timestamp", -1).to_list(length=50)
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for notification in notifications:
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notification["_id"] = str(notification["_id"])
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if "timestamp" in notification:
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notification["timestamp"] = notification["timestamp"].isoformat()
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return notifications
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except Exception as e:
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logger.error(f"Error fetching notifications: {str(e)} at {datetime.utcnow().isoformat()}")
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raise HTTPException(status_code=500, detail="Failed to retrieve notifications")
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-
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@router.post("/chat-stream")
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async def chat_stream_endpoint(
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request: ChatRequest,
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Chat stream initiated by {current_user['email']}
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async def token_stream():
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try:
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conversation = [{"role": "system", "content": agent.chat_prompt}]
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@@ -128,7 +91,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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yield chunk + " "
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await asyncio.sleep(0.05)
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except Exception as e:
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logger.error(f"Streaming error: {
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yield f"⚠️ Error: {e}"
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return StreamingResponse(token_stream(), media_type="text/plain")
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@@ -139,7 +102,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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language: str = Query("en-US", description="Language code for speech recognition"),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Voice transcription initiated by {current_user['email']}
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try:
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audio_data = await audio.read()
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if not audio.filename.lower().endswith(('.wav', '.mp3', '.ogg', '.flac')):
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@@ -151,7 +114,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in voice transcription: {
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raise HTTPException(status_code=500, detail="Error processing voice input")
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@router.post("/voice/synthesize")
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@@ -159,7 +122,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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request: VoiceOutputRequest,
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Voice synthesis initiated by {current_user['email']}
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try:
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audio_data = text_to_speech(request.text, request.language, request.slow)
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@@ -175,7 +138,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in voice synthesis: {
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raise HTTPException(status_code=500, detail="Error generating voice output")
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@router.post("/voice/chat")
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@@ -186,7 +149,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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max_new_tokens: int = Query(512, ge=50, le=1024),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Voice chat initiated by {current_user['email']}
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try:
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audio_data = await audio.read()
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user_message = recognize_speech(audio_data, language)
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@@ -209,7 +172,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in voice chat: {
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raise HTTPException(status_code=500, detail="Error processing voice chat")
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@router.post("/analyze-report")
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@@ -220,7 +183,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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max_new_tokens: int = Form(1024),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Report analysis initiated by {current_user['email']}
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try:
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content_type = file.content_type
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allowed_types = [
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@@ -266,25 +229,6 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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if "timestamp" in analysis and isinstance(analysis["timestamp"], datetime):
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analysis["timestamp"] = analysis["timestamp"].isoformat()
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# Check risk level and create notification if moderate or high
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risk_level = analysis.get("suicide_risk", {}).get("level", "none")
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risk_score = analysis.get("suicide_risk", {}).get("score", 0)
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patient = await patients_collection.find_one({"fhir_id": patient_id})
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patient_name = patient.get("full_name", "Unknown Patient") if patient else "Unknown Patient"
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if risk_level in ["moderate", "high"]:
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notification = {
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"recipient_email": current_user["email"],
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"message": f"Patient {patient_name} has a {risk_level} risk with a score of {int(risk_score * 100)}%",
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"patient_id": patient_id,
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"risk_level": risk_level,
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"timestamp": datetime.utcnow(),
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"read": False
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}
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await notifications_collection.insert_one(notification)
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logger.info(f"Notification created for {current_user['email']} at {datetime.utcnow().isoformat()}: {notification['message']}")
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# Send push notification
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await send_push_notification(current_user["email"], notification["message"])
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return JSONResponse(content=jsonable_encoder({
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"status": "success",
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"analysis": analysis,
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@@ -296,7 +240,7 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in report analysis: {str(e)}
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raise HTTPException(
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status_code=500,
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detail=f"Failed to analyze report: {str(e)}"
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@@ -307,30 +251,31 @@ def create_router(agent, logger, patients_collection, analysis_collection, users
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patient_id: str,
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Patient deletion initiated by {current_user['email']}
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try:
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patient = await patients_collection.find_one({"fhir_id": patient_id})
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if not patient:
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raise HTTPException(status_code=404, detail="Patient not found")
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if patient.get("created_by") != current_user["email"] and not current_user.get("is_admin", False):
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raise HTTPException(status_code=403, detail="Not authorized to delete this patient")
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await analysis_collection.delete_many({"patient_id": patient_id})
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logger.info(f"Deleted analyses for patient {patient_id}
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await notifications_collection.delete_many({"patient_id": patient_id})
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logger.info(f"Deleted notifications for patient {patient_id} at {datetime.utcnow().isoformat()}")
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await patients_collection.delete_one({"fhir_id": patient_id})
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logger.info(f"Patient {patient_id} deleted successfully
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return {"status": "success", "message": f"Patient {patient_id} and associated
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error deleting patient {patient_id}: {str(e)}
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raise HTTPException(status_code=500, detail=f"Failed to delete patient: {str(e)}")
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return router
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from fastapi.encoders import jsonable_encoder
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from typing import Optional
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from models import ChatRequest, VoiceOutputRequest, RiskLevel
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from auth import get_current_user
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from utils import clean_text_response
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from analysis import analyze_patient_report
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from voice import recognize_speech, text_to_speech, extract_text_from_pdf
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from docx import Document
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import re
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import io
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from datetime import datetime
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from bson import ObjectId
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import asyncio
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from bson.errors import InvalidId
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def create_router(agent, logger, patients_collection, analysis_collection, users_collection):
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router = APIRouter()
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@router.get("/status")
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async def status(current_user: dict = Depends(get_current_user)):
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logger.info(f"Status endpoint accessed by {current_user['email']}")
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return {
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"status": "running",
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"timestamp": datetime.utcnow().isoformat(),
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name: Optional[str] = Query(None),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Fetching analysis results by {current_user['email']}")
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try:
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query = {}
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if name:
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for analysis in analyses:
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patient = await patients_collection.find_one({"fhir_id": analysis.get("patient_id")})
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if not patient:
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continue # Skip if patient no longer exists
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analysis["full_name"] = patient.get("full_name", "Unknown")
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analysis["_id"] = str(analysis["_id"])
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enriched_results.append(analysis)
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return enriched_results
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except Exception as e:
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logger.error(f"Error fetching analysis results: {e}")
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raise HTTPException(status_code=500, detail="Failed to retrieve analysis results")
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@router.post("/chat-stream")
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async def chat_stream_endpoint(
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request: ChatRequest,
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Chat stream initiated by {current_user['email']}")
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async def token_stream():
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try:
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conversation = [{"role": "system", "content": agent.chat_prompt}]
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yield chunk + " "
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await asyncio.sleep(0.05)
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except Exception as e:
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logger.error(f"Streaming error: {e}")
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yield f"⚠️ Error: {e}"
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return StreamingResponse(token_stream(), media_type="text/plain")
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language: str = Query("en-US", description="Language code for speech recognition"),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Voice transcription initiated by {current_user['email']}")
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try:
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audio_data = await audio.read()
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if not audio.filename.lower().endswith(('.wav', '.mp3', '.ogg', '.flac')):
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in voice transcription: {e}")
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raise HTTPException(status_code=500, detail="Error processing voice input")
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@router.post("/voice/synthesize")
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request: VoiceOutputRequest,
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Voice synthesis initiated by {current_user['email']}")
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try:
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audio_data = text_to_speech(request.text, request.language, request.slow)
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in voice synthesis: {e}")
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raise HTTPException(status_code=500, detail="Error generating voice output")
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@router.post("/voice/chat")
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max_new_tokens: int = Query(512, ge=50, le=1024),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Voice chat initiated by {current_user['email']}")
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try:
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audio_data = await audio.read()
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user_message = recognize_speech(audio_data, language)
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in voice chat: {e}")
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raise HTTPException(status_code=500, detail="Error processing voice chat")
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@router.post("/analyze-report")
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max_new_tokens: int = Form(1024),
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Report analysis initiated by {current_user['email']}")
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try:
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content_type = file.content_type
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allowed_types = [
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if "timestamp" in analysis and isinstance(analysis["timestamp"], datetime):
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analysis["timestamp"] = analysis["timestamp"].isoformat()
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return JSONResponse(content=jsonable_encoder({
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"status": "success",
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"analysis": analysis,
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error in report analysis: {str(e)}")
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raise HTTPException(
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status_code=500,
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detail=f"Failed to analyze report: {str(e)}"
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patient_id: str,
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current_user: dict = Depends(get_current_user)
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):
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logger.info(f"Patient deletion initiated by {current_user['email']} for patient {patient_id}")
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try:
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# Check if the patient exists
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patient = await patients_collection.find_one({"fhir_id": patient_id})
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if not patient:
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raise HTTPException(status_code=404, detail="Patient not found")
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# Check if the current user is authorized (e.g., created_by matches or is admin)
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if patient.get("created_by") != current_user["email"] and not current_user.get("is_admin", False):
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raise HTTPException(status_code=403, detail="Not authorized to delete this patient")
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# Delete all analyses associated with this patient
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await analysis_collection.delete_many({"patient_id": patient_id})
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logger.info(f"Deleted analyses for patient {patient_id}")
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# Delete the patient
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await patients_collection.delete_one({"fhir_id": patient_id})
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logger.info(f"Patient {patient_id} deleted successfully")
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return {"status": "success", "message": f"Patient {patient_id} and associated analyses deleted"}
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except HTTPException:
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raise
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except Exception as e:
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logger.error(f"Error deleting patient {patient_id}: {str(e)}")
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raise HTTPException(status_code=500, detail=f"Failed to delete patient: {str(e)}")
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return router
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