Files
aionboarding/ai-patient-onboarding/app/api/onboarding.py
T

395 lines
11 KiB
Python

import json
import time
from uuid import uuid4
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.orm import Session
from app.database.database import get_db
from app.database.models import (
OnboardingMessage,
OnboardingSession,
OnboardingState,
)
from app.schemas.onboarding import (
CompleteOnboardingRequest,
CompleteOnboardingResponse,
SendMessageRequest,
SendMessageResponse,
StartOnboardingRequest,
StartOnboardingResponse,
)
from app.services.ai_onboarding_service import (
AIOnboardingService,
)
from app.services.completion_service import (
CompletionService,
)
from app.services.onboarding_service import (
OnboardingService,
)
from app.services.patient_submission_service import (
PatientSubmissionService,
)
from app.services.result_extraction_service import (
ResultExtractionService,
)
from app.services.voice_service import VoiceService
from fastapi import APIRouter, Depends, HTTPException, Request
from sqlalchemy.orm import Session
from app.core.security import get_auth_context, AuthContext, check_rate_limit
router = APIRouter(
prefix="/v1/onboarding",
tags=["Patient Onboarding"],
)
@router.post(
"/start",
response_model=StartOnboardingResponse,
)
async def start_onboarding(
request: StartOnboardingRequest,
req_obj: Request = None,
auth: AuthContext = Depends(get_auth_context),
db: Session = Depends(get_db),
):
if req_obj and req_obj.client:
check_rate_limit(req_obj.client.host, limit=30, window_sec=60)
onboarding_service = OnboardingService()
session_id = f"ONB-{uuid4().hex[:8].upper()}"
# Use authenticated patient identity
patient_id = request.patient.id or auth.patient_id
session = OnboardingSession(
session_id=session_id,
patient_id=patient_id,
patient_name=request.patient.name,
age=request.patient.age,
gender=request.patient.gender,
category_type=request.category.type,
category_code=request.category.code,
category_name=request.category.name,
language=request.language,
status="in_progress",
stage="greeting",
)
db.add(session)
db.commit()
db.refresh(session)
# Initialize empty state
onboarding_service.get_state(db, session_id)
voice_service = VoiceService()
greeting_msg = voice_service.get_initial_greeting(
request.patient.name,
request.language,
)
# Save initial assistant greeting
onboarding_service.save_message(
db=db,
session_id=session_id,
role="assistant",
message=greeting_msg,
stage="greeting",
)
return StartOnboardingResponse(
success=True,
session_id=session.session_id,
patient_id=session.patient_id,
category=request.category,
language=session.language,
status=session.status,
stage=session.stage,
message=greeting_msg,
)
@router.post(
"/{session_id}/message",
response_model=SendMessageResponse,
)
async def send_message(
session_id: str,
request: SendMessageRequest,
req_obj: Request = None,
auth: AuthContext = Depends(get_auth_context),
db: Session = Depends(get_db),
):
if req_obj and req_obj.client:
check_rate_limit(req_obj.client.host, limit=30, window_sec=60)
t0 = time.perf_counter()
onboarding_service = OnboardingService()
ai_service = AIOnboardingService()
# 1. Get session
t_sess_start = time.perf_counter()
session = onboarding_service.get_session(
db,
session_id,
)
t_sess_end = time.perf_counter()
if not session:
raise HTTPException(
status_code=404,
detail="Onboarding session not found",
)
# 1b. Verify Session Ownership (IDOR Prevention)
if session.patient_id != auth.patient_id and auth.role != "admin":
raise HTTPException(
status_code=403,
detail="Forbidden: You do not have authorization to access or modify this patient onboarding session.",
)
# 2. Check session
if session.status != "in_progress":
raise HTTPException(
status_code=400,
detail="Onboarding session is not active",
)
# 3. Save patient message
onboarding_service.save_message(
db=db,
session_id=session_id,
role="patient",
message=request.message,
stage=session.stage,
)
# 4. Get state
t_state_start = time.perf_counter()
state = onboarding_service.get_state(
db,
session_id,
)
t_state_end = time.perf_counter()
# 5. Get conversation history
t_hist_start = time.perf_counter()
messages = (
db.query(OnboardingMessage)
.filter(
OnboardingMessage.session_id == session_id
)
.order_by(
OnboardingMessage.created_at.asc()
)
.all()
)
conversation_history = [
{
"role": message.role,
"message": message.message,
"stage": message.stage,
}
for message in messages
]
t_hist_end = time.perf_counter()
# 6. Send to AI
t_ai_start = time.perf_counter()
ai_response = await ai_service.process_message(
session=session,
state=state,
conversation_history=conversation_history,
user_message=request.message,
)
t_ai_end = time.perf_counter()
# 7. Update state
current_state = json.loads(
state.state_json
)
updates = ai_response.get(
"state_updates",
{},
)
for key, value in updates.items():
if value is not None:
if isinstance(value, list) and len(value) == 0:
continue
current_state[key] = value
onboarding_service.update_state(
db=db,
state=state,
data=current_state,
)
# 8. Update stage
session.stage = ai_response.get("next_stage", session.stage)
# 9. Check completion
if ai_response.get("completed"):
session.status = "completed"
t_db_start = time.perf_counter()
db.commit()
t_db_end = time.perf_counter()
# 10. Save AI message
onboarding_service.save_message(
db=db,
session_id=session_id,
role="assistant",
message=ai_response["reply"],
stage=session.stage,
)
t_total_end = time.perf_counter()
total_ms = round((t_total_end - t0) * 1000, 2)
total_sec = round(t_total_end - t0, 3)
print(f"[PERF PROFILE - send_message] SESSION_LOOKUP: {(t_sess_end - t_sess_start)*1000:.2f}ms | STATE_LOAD: {(t_state_end - t_state_start)*1000:.2f}ms | HIST_LOAD: {(t_hist_end - t_hist_start)*1000:.2f}ms | AI_PROCESS: {(t_ai_end - t_ai_start)*1000:.2f}ms | DB_COMMIT: {(t_db_end - t_db_start)*1000:.2f}ms | TOTAL: {total_ms}ms")
return SendMessageResponse(
success=True,
session_id=session_id,
stage=session.stage,
message=ai_response["reply"],
status=session.status,
response_time_ms=total_ms,
response_time_sec=total_sec,
)
@router.post(
"/{session_id}/complete",
response_model=CompleteOnboardingResponse,
)
async def complete_onboarding(
session_id: str,
request: CompleteOnboardingRequest,
auth: AuthContext = Depends(get_auth_context),
db: Session = Depends(get_db),
):
start_time = time.time()
onboarding_service = OnboardingService()
completion_service = CompletionService()
result_service = ResultExtractionService()
submission_service = PatientSubmissionService()
# 1. Find session
session = onboarding_service.get_session(
db,
session_id,
)
if not session:
raise HTTPException(
status_code=404,
detail="Onboarding session not found",
)
# 1b. Verify Session Ownership (IDOR Prevention)
if session.patient_id != auth.patient_id and auth.role != "admin":
raise HTTPException(
status_code=403,
detail="Forbidden: You do not have authorization to complete this onboarding session.",
)
# 2. Load state
state = onboarding_service.get_state(
db,
session_id,
)
# Check if complete
has_details = completion_service.is_complete(session, state)
# 4. Get conversation history
messages = (
db.query(OnboardingMessage)
.filter(OnboardingMessage.session_id == session_id)
.order_by(OnboardingMessage.created_at.asc())
.all()
)
conversation_history = [
{
"role": message.role,
"message": message.message,
"stage": message.stage,
}
for message in messages
]
# 5. Generate final structured result
result = await result_service.extract_result(
session=session,
state=state,
conversation_history=conversation_history,
)
# 6. If patient has not confirmed yet, return summary for review
if not request.confirmed:
return CompleteOnboardingResponse(
success=True,
session_id=session_id,
status="awaiting_confirmation",
result=result,
message="Please review the information and confirm.",
)
# 7. Patient confirmed -> submit to existing patient / hospital API
submission = await submission_service.submit(result)
if isinstance(result, dict):
result["onboarding_completed"] = True
if session.status == "completed":
return CompleteOnboardingResponse(
success=True,
session_id=session_id,
status="completed",
result=result,
message="Onboarding session is already completed.",
response_time_ms=round((time.time() - start_time) * 1000, 2),
response_time_sec=round(time.time() - start_time, 3),
)
if submission.get("success"):
# Mark session completed in DB instead of hard-deleting
session.status = "completed"
session.stage = "confirmation"
db.commit()
elapsed = time.time() - start_time
return CompleteOnboardingResponse(
success=True,
session_id=session_id,
status="completed",
result=result,
message="Onboarding successfully completed and saved to patient record.",
response_time_ms=round(elapsed * 1000, 2),
response_time_sec=round(elapsed, 3),
)
# If submission failed, preserve SQLite session for retry
session.status = "submission_pending_retry"
db.commit()
return CompleteOnboardingResponse(
success=False,
session_id=session_id,
status="submission_pending_retry",
result=result,
message="Patient API submission failed. Session preserved for retry.",
)