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import streamlit as st
from components import buildings_view, models_view, performance_view
import utils
st.set_page_config(page_title="Electricity Demand Dashboard", layout="wide")
PAGES = [
"Buildings",
"Models",
"Performance",
]
@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")
with right:
st.image("./images/energyville_logo.png")
view = st.selectbox("View", PAGES, 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}")
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)
else:
st.write("Not implemented yet")
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