import hashlib
import os
import sys
from contextlib import redirect_stdout
from pathlib import Path
from typing import Type

import onnxruntime as ort
import pooch

from .session_base import BaseSession
from .session_cloth import ClothSession
from .session_simple import SimpleSession


def new_session(model_name: str = "u2net") -> BaseSession:
    session_class: Type[BaseSession]
    md5 = "60024c5c889badc19c04ad937298a77b"
    url = "https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net.onnx"
    session_class = SimpleSession

    if model_name == "u2netp":
        md5 = "8e83ca70e441ab06c318d82300c84806"
        url = (
            "https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2netp.onnx"
        )
        session_class = SimpleSession
    elif model_name == "u2net_human_seg":
        md5 = "c09ddc2e0104f800e3e1bb4652583d1f"
        url = "https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_human_seg.onnx"
        session_class = SimpleSession
    elif model_name == "u2net_cloth_seg":
        md5 = "2434d1f3cb744e0e49386c906e5a08bb"
        url = "https://github.com/danielgatis/rembg/releases/download/v0.0.0/u2net_cloth_seg.onnx"
        session_class = ClothSession
    elif model_name == "silueta":
        md5 = "55e59e0d8062d2f5d013f4725ee84782"
        url = (
            "https://github.com/danielgatis/rembg/releases/download/v0.0.0/silueta.onnx"
        )
        session_class = SimpleSession

    u2net_home = os.getenv(
        "U2NET_HOME", os.path.join(os.getenv("XDG_DATA_HOME", "~"), ".u2net")
    )

    fname = f"{model_name}.onnx"
    path = Path(u2net_home).expanduser()
    full_path = Path(u2net_home).expanduser() / fname

    pooch.retrieve(
        url,
        f"md5:{md5}",
        fname=fname,
        path=Path(u2net_home).expanduser(),
        progressbar=True,
    )

    sess_opts = ort.SessionOptions()

    if "OMP_NUM_THREADS" in os.environ:
        sess_opts.inter_op_num_threads = int(os.environ["OMP_NUM_THREADS"])

    return session_class(
        model_name,
        ort.InferenceSession(
            str(full_path),
            providers=ort.get_available_providers(),
            sess_options=sess_opts,
        ),
    )