import streamlit as st

from components import summary_view
import utils

wandb_api_key = st.secrets["wandb"]

st.set_page_config(page_title='Electricity Demand Dashboard', layout='wide')


@st.cache_data(ttl=86400)
def fetch_data():
    return utils.get_wandb_data(
        st.secrets['wandb']['entity'],
        "enfobench-electricity-demand",
        st.secrets["wandb"]['api_key'],
        job_type="metrics",
    )


data = fetch_data()
models = sorted(data['model'].unique().tolist())
models_to_plot = set()
model_groups: dict[str, list[str]] = {}


for model in models:
    group, model_name = model.split(".", maxsplit=1)
    if group not in model_groups:
        model_groups[group] = []
    model_groups[group].append(model_name)


with st.sidebar:
    left, right = st.columns(2)  # Create two columns within the right column for side-by-side images
    with left:
        st.image("./images/ku_leuven_logo.png")   # Adjust the path and width as needed
    with right:
        st.image("./images/energyville_logo.png")

    view = st.selectbox("View", ["Summary", "Raw Data"], index=0)

    st.header("Models to include")
    for model_group, models in model_groups.items():
        st.text(model_group)
        for model_name in models:
            to_plot = st.checkbox(model_name, value=True)
            if to_plot:
                models_to_plot.add(f"{model_group}.{model_name}")

if view == "Summary":
    summary_view(data, models_to_plot)