app.py

import streamlit as st

from components import buildings_view, models_view, performance_view, computation_view
import utils

st.set_page_config(page_title="Pv Generation Dashboard", layout="wide")

PAGES = [
    "Buildings",
    "Models",
    "Performance",
    "Computational Resources",
]


@st.cache_data(ttl=86400)
def fetch_data():
    return utils.get_wandb_data(
        st.secrets["wandb_entity"],
        "enfobench-pv-generation",
        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")
    with right:
        st.image("./images/energyville_logo.png")

    view = st.selectbox("View", PAGES, index=0)

    st.header("Models to include")
    left, right = st.columns(2)
    with left:
        select_none = st.button("Select None", use_container_width=True)
        if select_none:
            for model in models:
                st.session_state[model] = False
    with right:
        select_all = st.button("Select All", use_container_width=True)
        if select_all:
            for model in models:
                st.session_state[model] = True

    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, key=f"{model_group}.{model_name}")
            if to_plot:
                models_to_plot.add(f"{model_group}.{model_name}")


st.title("EnFoBench - Electricity Demand")
st.divider()

if view == "Buildings":
    buildings_view(data)
elif view == "Models":
    models_view(data)
elif view == "Performance":
    performance_view(data, models_to_plot)
elif view == "Computational Resources":
    computation_view(data, models_to_plot)
else:
    st.write("Not implemented yet")