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import os
import logging
import asyncio
from fastapi import FastAPI
from txagent.txagent import TxAgent
from db.mongo import get_mongo_client
# Logging
logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
logger = logging.getLogger("TxAgentAPI")
# Globals
agent = None
patients_collection = None
analysis_collection = None
alerts_collection = None
users_collection = None
# JWT settings (must match CPS-API)
SECRET_KEY = os.getenv("SECRET_KEY", "your-secret-key")
ALGORITHM = "HS256"
def setup_app(app: FastAPI):
global agent, patients_collection, analysis_collection, alerts_collection, users_collection
@app.on_event("startup")
async def startup_event():
global agent, patients_collection, analysis_collection, alerts_collection, users_collection
agent = TxAgent(
model_name="mims-harvard/TxAgent-T1-Llama-3.1-8B",
rag_model_name="mims-harvard/ToolRAG-T1-GTE-Qwen2-1.5B",
enable_finish=True,
enable_rag=False,
force_finish=True,
enable_checker=True,
step_rag_num=4,
seed=42
)
agent.chat_prompt = (
"You are a clinical assistant AI. Analyze the patient's data and provide clear clinical recommendations."
)
agent.init_model()
logger.info("✅ TxAgent initialized")
db = get_mongo_client()["cps_db"]
users_collection = db["users"]
patients_collection = db["patients"]
analysis_collection = db["patient_analysis_results"]
alerts_collection = db["clinical_alerts"]
logger.info("📡 Connected to MongoDB")
asyncio.create_task(analyze_all_patients())
async def analyze_all_patients():
patients = await patients_collection.find({}).to_list(length=None)
for patient in patients:
await analyze_patient(patient)
await asyncio.sleep(0.1) |