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# Code copied and modified from: https://huggingface.co/spaces/BAAI/SegVol

import tempfile
from pathlib import Path

import SimpleITK as sitk
from mrsegmentator.utils import add_postfix

import streamlit as st
import utils

print("script run")
st.title("MRSegmentator")
st.write("(On-site segmentation is currently disabled, because we lack access to GPUs)")

#############################################
# init session_state
if "option" not in st.session_state:
    st.session_state.option = None

if "reset_demo_case" not in st.session_state:
    st.session_state.reset_demo_case = False

if "preds_3D" not in st.session_state:
    st.session_state.preds_3D = None
    st.session_state.preds_path = None

if "data_item" not in st.session_state:
    st.session_state.data_item = None

if "rectangle_3Dbox" not in st.session_state:
    st.session_state.rectangle_3Dbox = [0, 0, 0, 0, 0, 0]

if "running" not in st.session_state:
    st.session_state.running = False

if "transparency" not in st.session_state:
    st.session_state.transparency = 0.25

case_list = [
    "amos_0517_MRI.nii.gz",
    "amos_0541_MRI.nii.gz",
    "amos_0571_MRI.nii.gz",
]

#############################################


#############################################
# reset functions
def clear_prompts():
    st.session_state.rectangle_3Dbox = [0, 0, 0, 0, 0, 0]


def reset_demo_case():
    st.session_state.data_item = None
    st.session_state.reset_demo_case = True
    st.session_state.preds_3D = None
    st.session_state.preds_3D_ori = None
    clear_prompts()


def clear_file():
    st.session_state.option = None
    reset_demo_case()
    clear_prompts()


#############################################

github_col, arxive_col = st.columns(2)

with github_col:
    st.write("Git: https://github.com/hhaentze/mrsegmentator")

with arxive_col:
    st.write("Paper: https://arxiv.org/abs/2405.06463")

    # modify demo case here
demo_type = st.radio("Demo case source", ["Select (presegmented)", "Upload"], on_change=clear_file)

with tempfile.TemporaryDirectory() as tmpdirname:

    # modify demo case here
    if demo_type == "Select (presegmented)":
        selection = st.selectbox(
            "Select a demo case",
            case_list,
            index=None,
            placeholder="Select a demo case...",
            on_change=reset_demo_case,
        )

        if selection:
            uploaded_file = "images/" + selection
            seg_path = Path(__file__).parent / ("segmentations/" + add_postfix(selection, "seg"))
            st.session_state.preds_3D = utils.read_image(seg_path)
            st.session_state.preds_3D_ori = sitk.ReadImage(seg_path)
        else:
            uploaded_file = None

    else:
        uploaded_file = st.file_uploader("Upload demo case(nii.gz)", type="nii.gz", on_change=reset_demo_case)

        if uploaded_file is not None:
            with open(tmpdirname + "/" + uploaded_file.name, "wb") as f:
                f.write(uploaded_file.getvalue())
            uploaded_file = tmpdirname + "/" + uploaded_file.name

    st.session_state.option = uploaded_file

    if (
        st.session_state.option is not None
        and st.session_state.reset_demo_case
        or (st.session_state.data_item is None and st.session_state.option is not None)
    ):

        st.session_state.data_item = utils.read_image(Path(__file__).parent / str(uploaded_file))
        # st.session_state.preds_3D = None
        # st.session_state.preds_3D_ori = None
        st.session_state.reset_demo_case = False

    if st.session_state.option is None:
        st.write("please select demo case first")
    else:
        image_3D = st.session_state.data_item
        px_range = st.slider(
            "Select intensity range",
            int(image_3D.min()),
            int(image_3D.max()),
            (int(image_3D.min()), int(image_3D.max())),
        )
        col_control1, col_control2 = st.columns(2)

        with col_control1:
            selected_index_z = st.slider(
                "Axial view",
                0,
                image_3D.shape[0] - 1,
                image_3D.shape[0] // 2,
                key="xy",
                disabled=st.session_state.running,
            )

        with col_control2:
            selected_index_y = st.slider(
                "Coronal view",
                0,
                image_3D.shape[1] - 1,
                image_3D.shape[1] // 2,
                key="xz",
                disabled=st.session_state.running,
            )

        col_image1, col_image2 = st.columns(2)

        if st.session_state.preds_3D is not None:
            st.session_state.transparency = st.slider("Mask opacity", 0.0, 1.0, 0.35, disabled=st.session_state.running)

        with col_image1:

            image_z_array = image_3D[selected_index_z]

            preds_z_array = None
            if st.session_state.preds_3D is not None:
                preds_z_array = st.session_state.preds_3D[selected_index_z]

            image_z = utils.make_fig(image_z_array, preds_z_array, px_range, st.session_state.transparency)
            st.image(image_z, use_column_width=False)

        with col_image2:
            image_y_array = image_3D[:, selected_index_y, :]

            preds_y_array = None
            if st.session_state.preds_3D is not None:
                preds_y_array = st.session_state.preds_3D[:, selected_index_y, :]

            image_y = utils.make_fig(image_y_array, preds_y_array, px_range, st.session_state.transparency)
            st.image(image_y, use_column_width=False)

    ######################################################

    col1, col2, col3 = st.columns(3)

    with col1:
        st.markdown("#")
        st.markdown("####")
        st.markdown("####")
        if st.button(
            "Clear",
            use_container_width=True,
            disabled=(st.session_state.option is None or (st.session_state.preds_3D is None)),
        ):
            clear_prompts()
            st.session_state.preds_3D = None
            st.session_state.preds_path = None
            st.rerun()

    with col2:
        st.markdown("#")
        st.markdown("####")
        st.markdown("####")

        if st.session_state.preds_3D is not None and st.session_state.data_item is not None:

            with tempfile.NamedTemporaryFile(suffix=".nii.gz") as tmpfile:

                preds = st.session_state.preds_3D_ori
                sitk.WriteImage(preds, tmpfile.name)

                with open(tmpfile.name, "rb") as f:
                    bytes_data = f.read()
                    st.download_button(
                        label="Download result (.nii.gz)",
                        data=bytes_data,
                        file_name="segmentation.nii.gz",
                        mime="application/octet-stream",
                        disabled=False,
                    )

    with col3:
        folds = st.radio("", ["Model of Fold 1 (fast)", "Ensemble Segmentation"])
        if folds == "Model of Fold 1":
            st.session_state.folds = (0,)
        else:
            st.session_state.folds = (
                0,
                1,
                2,
                3,
                4,
            )

        run_button_name = "Run" if not st.session_state.running else "Running"
        if st.button(
            run_button_name,
            type="primary",
            use_container_width=True,
            disabled=True,
            # disabled=(st.session_state.data_item is None or st.session_state.running),
        ):
            st.session_state.running = True
            st.rerun()

    if st.session_state.running:
        st.session_state.running = False
        with st.status("Running...", expanded=False) as status:
            utils.run(tmpdirname)
        st.rerun()