import os
import sys
import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
from fastapi.responses import FileResponse
from pydantic import BaseModel, Field

# Ensure project root is in python path
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
if project_root not in sys.path:
    sys.path.append(project_root)

from src.predict import SuicideRiskPredictor

app = FastAPI(
    title="Suicide Risk Detection System",
    description="Real-time web application fusing Chat Brain and Profile Brain for suicide risk level prediction."
)

# Enable CORS
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Instantiate predictor (loads BanglaBERT by default)
print("Initializing SuicideRiskPredictor with BanglaBERT...")
predictor = SuicideRiskPredictor(model_name="banglabert")
print("Predictor loaded successfully.")

class ProfileData(BaseModel):
    age_group: str = None
    age: float = None
    gender: str = None
    profession_group: str = None
    religion: str = None
    hometown: str = None
    reason: str = None
    reason_description: str = None
    time: str = None
    temperature: float = None
    feels_like: float = None
    temp_min: float = None
    temp_max: float = None
    air_pressure: float = None
    air_humidity: float = None
    wind_speed: float = None
    wind_deg: float = None
    clouds_sky: float = None
    weather_main: str = None
    weather_description: str = None

class PredictionRequest(BaseModel):
    text: str
    profile: ProfileData = Field(default_factory=ProfileData)

@app.get("/api/metadata")
def get_metadata():
    return {
        "categories": {
            "gender": ["Male", "Female", "3rd Gender"],
            "profession_group": ["Student", "Unemployed", "Worker", "Housewife", "Service holder", "Day labourer", "Teacher", "Farmer", "Doctor", "Other"],
            "religion": ["Muslim", "Hindu", "Buddhism", "Christian", "Other"],
            "hometown": ["Dhaka", "Sylhet", "Rajshahi", "Barisal", "Chittagong", "Khulna", "Rangpur", "Mymensingh", "Bogra", "Pabna", "Brahmanbaria", "Manikganj", "Other"],
            "reason": ["Relationship problem", "Harassment", "Marital affair", "Family issue", "Violence and mental issue", "Humiliation", "Poverty", "Physical issue", "Academic Fail", "Other"],
            "time": ["morning", "noon", "afternoon", "evening", "night"],
            "weather_main": ["Clear", "Clouds", "Rain", "Drizzle", "Mist", "Haze", "Fog", "Thunderstorm"]
        },
        "defaults": {
            "age": 24.0,
            "gender": "Male",
            "profession_group": "Student",
            "religion": "Muslim",
            "hometown": "Dhaka",
            "reason": "relationship problem",
            "time": "afternoon",
            "temperature": 299.1,
            "feels_like": 302.2,
            "temp_min": 298.7,
            "temp_max": 298.6,
            "air_pressure": 1005.0,
            "air_humidity": 82.2,
            "wind_speed": 4.1,
            "wind_deg": 148.7,
            "clouds_sky": 58.3,
            "weather_main": "Clear"
        }
    }

@app.post("/api/predict")
def predict_risk(req: PredictionRequest):
    try:
        # Convert Pydantic model to raw dict, filtering out None values
        profile_dict = {k: v for k, v in req.profile.dict().items() if v is not None}
        
        # Call the predictor
        results = predictor.predict_one(text=req.text, profile=profile_dict)
        return results
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

# Configure static assets path
static_dir = os.path.join(os.path.dirname(os.path.abspath(__file__)), "static")
os.makedirs(static_dir, exist_ok=True)

# Serve the static files
app.mount("/static", StaticFiles(directory=static_dir), name="static")

@app.get("/")
def read_root():
    index_path = os.path.join(static_dir, "index.html")
    if os.path.exists(index_path):
        return FileResponse(index_path)
    return {"message": "Suicide Risk Detection System backend is running. Create static/index.html to view UI."}

if __name__ == "__main__":
    uvicorn.run("server:app", host="127.0.0.1", port=8000, reload=True)