Carto-RSE / empreinte_export.py
Ilyas KHIAT
emission export
225177d
raw
history blame
4.5 kB
import streamlit as st
import pandas as pd
import altair as alt
import base64
import pdfkit
import io
from comparateur import get_table_empreintes_detailed
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_cf_comparison():
svg_file_path = "feuille.svg"
svg_base64 = load_svg_as_base64(svg_file_path)
html_content = f"""
<h2>Votre consommation Carbone</h2>
<img src='data:image/svg+xml;base64,{svg_base64}' alt='svg' width='15' height='15' style='margin-left: 10px;'>
<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 += "<h2>Votre équivalence</h2>"
# Implement the `display_comparaison` function as needed
# display_comparaison(col1, total_emission, dict_comparaison_1kgCO2["eau en litre"][0]*1000, dict_comparaison_1kgCO2["eau en litre"][1], "ml")
# display_comparaison(col2, total_emission, dict_comparaison_1kgCO2["tgv en km"][0], dict_comparaison_1kgCO2["tgv en km"][1], "km")
# display_comparaison(col3, total_emission, dict_comparaison_1kgCO2["voiture en km"][0]*1000, dict_comparaison_1kgCO2["voiture en km"][1], "m")
html_content += f"""
<br>
<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>
<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 = ""
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 Cumulée (g eqCo2)'})
styled_df = styled_df.style.applymap(color_scale, subset=['Consommation Cumulée (g eqCo2)'])
html_content += """
<h2>DETAIL PAR TACHE</h2>
"""
html_content += styled_df.to_html()
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({"Categorie": ["Identification + dessin", "Dialogue avec IA"], "valeur": [pourcentage_serveur, pourcentage_api]})
base = alt.Chart(df).encode(
theta=alt.Theta(field="valeur", type="quantitative", stack=True),
color=alt.Color(field="Categorie", type="nominal")
)
pie = base.mark_arc(outerRadius=100)
text = base.mark_text(radius=115, fill="black").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>
"""
html_content += chart.to_html()
return html_content