from __future__ import annotations

import os

import uvicorn

from app.config import settings
from app.services.rag import MedicalRAGService


def build_index_if_possible() -> None:
    try:
        service = MedicalRAGService(
            pdf_path=settings.pdf_source_path,
            index_path=settings.vector_index_path,
            metadata_path=settings.vector_metadata_path,
            embedding_model=settings.openai_embedding_model,
            top_k=settings.top_k_results,
            api_key=settings.openai_api_key,
        )

        if service.indexed:
            print("MedBRAIN AI: vector index already present.")
            return

        if not settings.pdf_source_path.exists():
            print(f"MedBRAIN AI: PDF not found at {settings.pdf_source_path}.")
            return

        if not settings.openai_api_key:
            print("MedBRAIN AI: OPENAI_API_KEY missing, skipping index build.")
            return

        print("MedBRAIN AI: building vector index for first startup...")
        result = service.build_index()
        print(
            f"MedBRAIN AI: indexed {result['pages']} pages into {result['chunks']} chunks."
        )
    except Exception as exc:
        print(f"MedBRAIN AI: startup indexing skipped due to error: {exc}")


def main() -> None:
    build_index_if_possible()
    port = int(os.getenv("PORT", "7860"))
    reload_enabled = os.getenv("MEDBRAIN_RELOAD", "false").lower() == "true"
    uvicorn.run("app.main:app", host="0.0.0.0", port=port, reload=reload_enabled)


if __name__ == "__main__":
    main()