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import streamlit as st |
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import pandas as pd |
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import requests |
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import folium |
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from streamlit_folium import folium_static |
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def get_data(): |
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url = "https://opendata.bordeaux-metropole.fr/api/records/1.0/search/?dataset=met_etablissement_rse&q=&rows=100" |
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response = requests.get(url) |
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if response.status_code == 200: |
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data = response.json() |
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records = data.get("records", []) |
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return [record["fields"] for record in records], data.get("nhits", 0) |
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else: |
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return [], 0 |
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def display_organisations_engagees(): |
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st.markdown("## OPEN DATA RSE") |
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st.markdown("### Découvrez les organisations engagées RSE de la métropole de Bordeaux") |
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data, _ = get_data() |
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if data: |
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df = pd.DataFrame(data) |
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df = df.rename(columns={ |
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"nom_courant_denomination": "Nom", |
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"commune": "Commune", |
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"libelle_section_naf": "Section NAF", |
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"tranche_effectif_entreprise": "Effectif", |
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"action_rse": "Action RSE" |
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}) |
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df = df[["Nom", "Commune", "Section NAF", "Effectif", "Action RSE"]] |
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st.dataframe(df, width=None, height=None) |
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def display_map(): |
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data, _ = get_data() |
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if data: |
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m = folium.Map(location=[44.837789, -0.57918], zoom_start=12) |
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for item in data: |
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if 'point_geo' in item and item['point_geo'] is not None: |
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lat = item['point_geo']['lat'] |
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lon = item['point_geo']['lon'] |
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folium.Marker( |
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[lat, lon], |
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popup=item.get("Nom", "Sans nom") |
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).add_to(m) |
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folium_static(m) |
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def display_dialogue(): |
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st.markdown("# Patientez quelques heures encore... :)") |
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def main(): |
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st.sidebar.title("Navigation") |
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app_mode = st.sidebar.radio("Choisissez l'onglet", ["Organisations engagées", "Carte", "Dialoguer avec l'assistant IA RSE bziiit"]) |
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if app_mode == "Organisations engagées": |
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display_organisations_engagees() |
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elif app_mode == "Carte": |
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display_map() |
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elif app_mode == "Dialoguer avec l'assistant IA RSE bziiit": |
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display_dialogue() |
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if __name__ == "__main__": |
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main() |
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