import os
import logging
import uvicorn
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from huggingface_hub import snapshot_download
from app.api.routes import router
from app.core.config import settings


HF_CACHE_DIR = "/tmp/hf_cache"
os.makedirs(HF_CACHE_DIR, exist_ok=True)

os.environ["HF_HOME"] = HF_CACHE_DIR
os.environ["TRANSFORMERS_CACHE"] = HF_CACHE_DIR
os.environ["HF_HUB_CACHE"] = HF_CACHE_DIR
os.environ["HF_DATASETS_CACHE"] = HF_CACHE_DIR
os.environ["HF_METRICS_CACHE"] = HF_CACHE_DIR


logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.info("Downloading model and dataset from Hugging Face Hub...")

HF_TOKEN = os.getenv("HF_TOKEN")
if not HF_TOKEN:
    raise RuntimeError("HF_TOKEN environment variable not set")


MODEL_PATH = snapshot_download(
    repo_id="negi2725/legalBert",
    token=HF_TOKEN,
    local_dir="/tmp/legalbert_model",
    local_dir_use_symlinks=False
)

FAISS_INDEX_PATH = snapshot_download(
    repo_id="negi2725/dataRag",
    repo_type="dataset", 
    token=HF_TOKEN,
    local_dir="/tmp/faiss_indexes"
)

logger.info(f"FAISS index files downloaded to: {FAISS_INDEX_PATH}")
logger.info(f"Model files downloaded to: {MODEL_PATH}")


os.environ["MODEL_PATH"] = MODEL_PATH
os.environ["FAISS_INDEX_PATH"] = FAISS_INDEX_PATH


app = FastAPI(
    title="Legal RAG Analysis API",
    description="FastAPI backend for legal case analysis using RAG system with LegalBERT predictions and Gemini AI evaluation",
    version="1.0.0"
)

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


app.include_router(router, prefix="/api/v1")

@app.get("/")
async def root():
    return {"message": "Legal RAG Analysis API", "version": "1.0.0"}

@app.get("/health")
async def health_check():
    return {"status": "healthy", "message": "API is running"}

if __name__ == "__main__":
    uvicorn.run(
        "main:app",
        host="0.0.0.0",
        port=5000,
        reload=True
    )