import streamlit as st import pandas as pd import requests import folium from streamlit_folium import folium_static def get_data(): url = "https://opendata.bordeaux-metropole.fr/api/records/1.0/search/?dataset=met_etablissement_rse&q=&rows=100" response = requests.get(url) if response.status_code == 200: data = response.json() records = data.get("records", []) return [record.get("fields") for record in records] else: return [] def display_organisations_engagees(data): st.markdown("## OPEN DATA RSE") st.markdown("### Découvrez les organisations engagées RSE de la métropole de Bordeaux") num_etablissements = len(data) st.markdown(f"Nombre d'établissements : {num_etablissements}") if data: df = pd.DataFrame(data) st.dataframe(df[['nom_courant_denomination', 'commune', 'libelle_section_naf', 'tranche_effectif_entreprise', 'action_rse']].rename(columns={ 'nom_courant_denomination': 'Nom', 'commune': 'Commune', 'libelle_section_naf': 'Section NAF', 'tranche_effectif_entreprise': 'Effectif', 'action_rse': 'Action RSE' })) def display_map(data): m = folium.Map(location=[44.837789, -0.57918], zoom_start=12) for item in data: point_geo = item.get('point_geo') if isinstance(point_geo, dict): lon = point_geo.get('lon') lat = point_geo.get('lat') if lon and lat: folium.Marker( [lat, lon], icon=folium.Icon(color="green", icon="leaf"), popup=item.get('nom_courant_denomination', 'Information non disponible'), ).add_to(m) folium_static(m) def main(): st.sidebar.title("Navigation") app_mode = st.sidebar.radio("Choisissez l'onglet", ["Organisations engagées", "Localisation des Entreprises"]) data = get_data() if app_mode == "Organisations engagées": display_organisations_engagees(data) elif app_mode == "Localisation des Entreprises": display_map(data) if __name__ == "__main__": main()