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| import streamlit as st | |
| import pandas as pd | |
| import altair as alt | |
| import base64 | |
| import pdfkit | |
| import io | |
| from comparateur import * | |
| def load_svg_as_base64(svg_file_path): | |
| with open(svg_file_path, "rb") as svg_file: | |
| return base64.b64encode(svg_file.read()).decode() | |
| def save_pdf(html_content): | |
| pdf = pdfkit.from_string(html_content, False) | |
| return pdf | |
| def display_comparaison_html(value_init, ratio_equivalent, icon, unit): | |
| link_url = f"https://impactco2.fr/outils/comparateur?value={value_init}&comparisons=tgv,eauenbouteille,voiturethermique" | |
| html = f""" | |
| <div style='text-align: center;'> | |
| <a href='{link_url}' target='_blank'><img src='{icon}' alt='{unit}' width='50'></a> | |
| </div> | |
| <div style='text-align: center;'> | |
| <b>{compare(value_init, ratio_equivalent):.2f}</b> {unit} | |
| </div> | |
| """ | |
| return html | |
| def display_cf_comparison(): | |
| svg_file_path = "feuille.svg" | |
| svg_base64 = load_svg_as_base64(svg_file_path) | |
| html_content = f""" | |
| <div style='display: flex; align-items: center;'> | |
| <h4 style='margin: 0;'>Votre consommation Carbone</h4> | |
| <img src='data:image/svg+xml;base64,{svg_base64}' alt='svg' width='15' height='15' style='margin-left: 10px;'> | |
| </div> | |
| <br> | |
| """ | |
| serveur_emission = st.session_state['emission'].stop() | |
| emission_api = sum([value["el"] for value in st.session_state["partial_emissions"].values()]) | |
| total_emission = serveur_emission + emission_api | |
| pourcentage_api = emission_api / total_emission | |
| pourcentage_serveur = serveur_emission / total_emission | |
| html_content += f"<div style='text-align: center; margin-bottom: 10px;'><b>{total_emission*1000:.3f}</b> g eq. CO2</div>" | |
| html_content += f"<p>Dont :</p>" | |
| html_content += f"<p>- Empreinte serveur (via CodeCarbon) : <b>{serveur_emission*1000:.3f}</b> g eq. CO2 ({pourcentage_serveur:.2%})</p>" | |
| html_content += f"<p>- Empreinte IA (via EcoLogits) : <b>{emission_api*1000:.3f}</b> g eq. CO2 ({pourcentage_api:.2%})</p>" | |
| html_content += "<h4>Votre équivalence</h4>" | |
| html_content += """ | |
| <div style='display: flex; justify-content: space-around;'> | |
| """ | |
| html_content += f""" | |
| <div> | |
| {display_comparaison_html(total_emission, dict_comparaison_1kgCO2["eau en litre"][0]*1000, dict_comparaison_1kgCO2["eau en litre"][1], "ml")} | |
| </div> | |
| <div> | |
| {display_comparaison_html(total_emission, dict_comparaison_1kgCO2["tgv en km"][0], dict_comparaison_1kgCO2["tgv en km"][1], "km")} | |
| </div> | |
| <div> | |
| {display_comparaison_html(total_emission, dict_comparaison_1kgCO2["voiture en km"][0]*1000, dict_comparaison_1kgCO2["voiture en km"][1], "m")} | |
| </div> | |
| """ | |
| html_content += "</div><br>" | |
| html_content += f""" | |
| <br> | |
| <div style='display: flex; align-items: center;'> | |
| <p>Powered by <b>ADEME</b></p> | |
| <a href='https://www.ademe.fr' target='_blank'><img src='https://www.ademe.fr/wp-content/uploads/2022/11/ademe-logo-2022-1.svg' alt='svg' width='30' height='30' style='margin-left: 10px;'></a> | |
| </div> | |
| <br> | |
| """ | |
| #st.markdown(html_content, unsafe_allow_html=True) | |
| return html_content | |
| def color_scale(val): | |
| if val == '-': | |
| return 'background-color: white' | |
| elif val <= 1: | |
| return 'background-color: rgba(0,100,0,0.5)' # dark green with opacity | |
| elif val <= 10: | |
| return 'background-color: rgba(0,128,0,0.5)' # green with opacity | |
| elif val <= 50: | |
| return 'background-color: rgba(255,255,0,0.5)' # yellow with opacity | |
| elif val <= 100: | |
| return 'background-color: rgba(255,165,0,0.5)' # orange with opacity | |
| else: | |
| return 'background-color: rgba(255,0,0,0.5)' # red with opacity | |
| def get_carbon_footprint_html(): | |
| html_content = "<h2>EMPREINTE ÉNERGÉTIQUE DE L'APPLICATION IA CARTO RSE</h2>" | |
| html_content += display_cf_comparison() | |
| table = get_table_empreintes_detailed() | |
| table.replace({0.00: '-'}, inplace=True) | |
| styled_df = table[['Consommation Totale']].rename(columns={'Consommation Totale': 'Consommation totale (g eqCo2)'}) | |
| styled_df = styled_df.style.applymap(color_scale, subset=['Consommation totale (g eqCo2)']) | |
| html_content += """ | |
| <style> | |
| .centered-table { | |
| margin-left: auto; | |
| margin-right: auto; | |
| border-collapse: collapse; | |
| width: 80%; | |
| } | |
| .centered-table th, .centered-table td { | |
| border: 1px solid #ddd; | |
| padding: 8px; | |
| text-align: left; | |
| } | |
| .centered-table th { | |
| background-color: #f2f2f2; | |
| } | |
| </style> | |
| """ | |
| html_content += """ | |
| <h2>DÉTAIL PAR TÂCHE</h2> | |
| <div style="overflow-x:auto;"> | |
| """ | |
| html_content += styled_df.set_table_attributes('class="centered-table"').to_html() | |
| html_content += """ | |
| </div> | |
| """ | |
| serveur_emission = st.session_state['emission'].stop() | |
| emission_api = sum([value["el"] for value in st.session_state["partial_emissions"].values()]) | |
| total_emission = serveur_emission + emission_api | |
| pourcentage_api = emission_api / total_emission | |
| pourcentage_serveur = serveur_emission / total_emission | |
| df = pd.DataFrame({"Catégorie": ["Identification + dessin", "IA (extraction pp + dialogue)"], "valeur": [pourcentage_serveur, pourcentage_api]}) | |
| color_scale_alt = alt.Scale(domain=['Identification + dessin', 'IA (extraction pp + dialogue)'], range=['#011166', '#63abdf']) | |
| base = alt.Chart(df).encode( | |
| theta=alt.Theta(field="valeur", type="quantitative", stack=True), | |
| color=alt.Color(field="Catégorie", type="nominal",scale=color_scale_alt) | |
| ) | |
| pie = base.mark_arc(outerRadius=100) | |
| text = base.mark_text(radius=150, fill="black",align='center', baseline='middle',fontSize=14).encode(alt.Text(field="valeur", type="quantitative", format=".2%")) | |
| chart = alt.layer(pie, text, data=df).resolve_scale(theta="independent") | |
| html_content += """ | |
| <h2>SYNTHESE (Dialogue IA et non IA)</h2> | |
| """ | |
| chart.save("chart.png") | |
| with open("chart.png", "rb") as image_file: | |
| encoded_image = base64.b64encode(image_file.read()).decode() | |
| html_content += f'<div style="text-align:center;"><img src="data:image/png;base64,{encoded_image}" alt="Pie chart"></div>' | |
| return html_content | |