import streamlit as st

import utils
from components import (
    buildings_view,
    computation_view,
    header,
    logos,
    model_selector,
    models_view,
    overview_view,
    accuracy_view,
    relative_performance_view,
    links,
)


USE_CASE = st.secrets["enfobench_usecase"]
PAGES = [
    "Overview",
    "Buildings",
    "Models",
    "Accuracy",
    "Relative Performance",
    "Computational Resources",
]


st.set_page_config(page_title=f"{USE_CASE} Dashboard", layout="wide")


@st.cache_data(ttl=86400)
def fetch_data():
    return utils.get_wandb_data(
        entity=st.secrets["wandb_entity"],
        project=st.secrets["wandb_project"],
        api_key=st.secrets["wandb_api_key"],
        job_type="metrics",
    )


# Load data
data = fetch_data()

# Extract models
models = sorted(data["model"].unique().tolist())


with st.sidebar:
    logos()
    view = st.selectbox("View", PAGES, index=0)

    if view in ["Accuracy", "Relative Performance", "Computational Resources"]:
        models_to_plot = model_selector(models, data)

    if view == "Overview":
        links(current=USE_CASE)

    st.header("Refresh data")
    refresh = st.button(
        "Refresh", use_container_width=True, help="Fetch the latest data from W&B"
    )
    if refresh:
        fetch_data.clear()
        st.rerun()


header(f"EnFoBench - {USE_CASE}")

if view == "Overview":
    overview_view(data)
elif view == "Buildings":
    buildings_view(data)
elif view == "Models":
    models_view(data)
elif view == "Accuracy":
    accuracy_view(data, models_to_plot)
elif view == "Relative Performance":
    relative_performance_view(data, models_to_plot)
elif view == "Computational Resources":
    computation_view(data, models_to_plot)
else:
    st.write("Not implemented yet")