# CardioAI Configuration
# Environment variables for the cardiovascular disease intelligent assistant system

# Data file path (relative to project root)
DATA_PATH=./data/心血管疾病.xlsx

# Flask server configuration
FLASK_APP=module2_predictor/app.py
FLASK_ENV=development
FLASK_DEBUG=True
FLASK_HOST=0.0.0.0
FLASK_PORT=5000

# Streamlit dashboard configuration
STREAMLIT_PORT=8501
STREAMLIT_THEME=light

# AI Model API Keys (replace with your actual keys)
# DeepSeek API (from dashscope)
DASHSCOPE_API_KEY=your_dashscope_api_key_here

# OpenAI API (for langchain-openai, if used)
OPENAI_API_KEY=your_openai_api_key_here

# Voice assistant configuration
VOICE_ASSISTANT_PORT=5001
VOICE_ASSISTANT_HOST=0.0.0.0

# Model file paths (will be generated during training)
MODEL_PATH=./module2_predictor/models/xgb_model.pkl
SCALER_PATH=./module2_predictor/models/scaler.pkl
ENCODER_PATH=./module2_predictor/models/encoder.pkl

# Feature configuration
NUMERICAL_FEATURES=age,trestbps,chol,thalach,oldpeak
CATEGORICAL_FEATURES=sex,cp,fbs,restecg,exang,slope,ca,thal