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import streamlit as st
from components import (
buildings_view,
models_view,
performance_view,
computation_view,
logos,
model_selector,
header,
overview_view,
)
import utils
PAGES = [
"Overview",
"Buildings",
"Models",
"Performance",
"Computational Resources",
]
st.set_page_config(page_title="Electricity Demand Dashboard", layout="wide")
@st.cache_data(ttl=86400)
def fetch_data():
return utils.get_wandb_data(
entity=st.secrets["wandb_entity"],
project="enfobench-electricity-demand",
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 == "Performance" or view == "Computational Resources":
models_to_plot = model_selector(models)
if view == "Overview":
st.header("Sources")
st.link_button("GitHub Repository", url="https://github.com/attila-balint-kul/energy-forecast-benchmark-toolkit", use_container_width=True)
st.link_button("Documentation", url="https://attila-balint-kul.github.io/energy-forecast-benchmark-toolkit/", use_container_width=True)
st.link_button("Electricity Demand Dataset", url="https://huggingface.co/datasets/EDS-lab/electricity-demand", use_container_width=True)
st.link_button("HuggingFace Organization", url="https://huggingface.co/EDS-lab", use_container_width=True)
st.header("Other Dashboards")
st.link_button("PV Generation", url="https://huggingface.co/spaces/EDS-lab/EnFoBench-PVGeneration", use_container_width=True)
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()
if view == "Overview":
overview_view(data)
elif 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")
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