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| import streamlit as st | |
| from collections import Counter | |
| from data_manager import get_data | |
| from data_manager_bziiit import get_labels, get_engaged_brands | |
| def display_rse_labels(): | |
| st.markdown("## OPEN DATA bziiit Labels RSE") | |
| st.markdown("### Découvrez les labels et certifications (RSE, Qualité...)") | |
| labels_option = st.radio( | |
| "Choisissez les labels à afficher :", | |
| ("Labels / Certifications des organisations engagées Bdx Métropole", "Tous les labels / Certifications DATA bziiit") | |
| ) | |
| st.markdown("""<hr style='border-color: darkgrey;'>""", unsafe_allow_html=True) | |
| labels = get_labels() | |
| if labels_option == "Tous les labels / Certifications DATA bziiit": | |
| labels.sort(key=lambda x: x['name']) | |
| else: | |
| # Get the data from Bordeaux Metropole API | |
| data, _ = get_data() | |
| # Get the engaged brands | |
| engaged_brands = get_engaged_brands() | |
| # Get the names of the organizations from Bordeaux Metropole API | |
| org_names = set(org['nom_courant_denomination'] for org in data if 'nom_courant_denomination' in org) | |
| # Filter the engaged brands to include only the organizations in Bordeaux Metropole | |
| engaged_brands = [brand for brand in engaged_brands if brand['name'] in org_names] | |
| # Get the labels used by the organizations | |
| org_labels = [label['name'] for brand in engaged_brands if 'labels' in brand and brand['labels'] for label in brand['labels']] | |
| # Count the labels | |
| label_counts = Counter(org_labels) | |
| # Filter the labels and add the count | |
| labels = [{'name': label['name'], 'logo_url': label['logo_url'], 'count': label_counts[label['name']]} for label in labels if label['name'] in label_counts] | |
| # Sort the labels by count in descending order | |
| labels.sort(key=lambda x: x['count'], reverse=True) | |
| # Display the total number of unique labels | |
| unique_labels = set(label['name'] for label in labels) | |
| st.markdown(f"**Nombre de labels / certifications :** {len(unique_labels)}") | |
| # Display the labels | |
| for i in range(0, len(labels), 5): | |
| cols = st.columns(5) | |
| for j in range(5): | |
| if i + j < len(labels): | |
| label = labels[i + j] | |
| with cols[j]: | |
| st.image(label['logo_url']) | |
| if labels_option == "Tous les labels / Certifications DATA bziiit": | |
| st.markdown(f'<p style="text-align: center; font-size: 10px;"><a href="{label["website"]}" style="color: darkgray;">Site web</a></p>', unsafe_allow_html=True) | |
| else: | |
| st.markdown(f'<p style="text-align: center; font-size: 10px; color: darkgray;">Nb marques certifiées : {label["count"]}</p>', unsafe_allow_html=True) | |