Spaces:
Sleeping
Sleeping
File size: 2,180 Bytes
2929135 bafa5e5 2929135 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 |
# src/config/settings.py
import os
from typing import Dict, Any
from dotenv import load_dotenv
load_dotenv()
class Settings:
"""Configuration settings for the Healthcare Operations Management Agent"""
# OpenAI Configuration
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
MODEL_NAME = "gpt-4o-mini"
MODEL_TEMPERATURE = 0
# LangGraph Configuration
MEMORY_TYPE = os.getenv("MEMORY_TYPE", "sqlite")
MEMORY_URI = os.getenv("MEMORY_URI", ":memory:")
# Hospital Configuration
HOSPITAL_SETTINGS = {
"total_beds": 300,
"departments": ["ER", "ICU", "General", "Surgery", "Pediatrics"],
"staff_roles": ["Doctor", "Nurse", "Specialist", "Support Staff"]
}
# Application Settings
MAX_RETRIES = int(os.getenv("MAX_RETRIES", "3"))
REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "30"))
BATCH_SIZE = int(os.getenv("BATCH_SIZE", "10"))
# Logging Configuration
LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")
LOG_FORMAT = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
LOG_FILE = "logs/healthcare_ops_agent.log"
# Quality Metrics Thresholds
QUALITY_THRESHOLDS = {
"min_satisfaction_score": 7.0,
"max_wait_time_minutes": 45,
"optimal_bed_utilization": 0.85,
"min_staff_ratio": {
"ICU": 0.5, # 1 nurse per 2 patients
"General": 0.25 # 1 nurse per 4 patients
}
}
@classmethod
def get_model_config(cls) -> Dict[str, Any]:
"""Get model configuration"""
return {
"model": cls.MODEL_NAME,
"temperature": cls.MODEL_TEMPERATURE,
"api_key": cls.OPENAI_API_KEY
}
@classmethod
def validate_settings(cls) -> bool:
"""Validate required settings"""
required_settings = [
"OPENAI_API_KEY",
"MODEL_NAME",
"MEMORY_TYPE"
]
for setting in required_settings:
if not getattr(cls, setting):
raise ValueError(f"Missing required setting: {setting}")
return True# Configuration settings implementation
|