app.py

import sys
import os

import streamlit as st
from organisations_engagees import display_organisations_engagees
from localisation import display_map
from statistiques import main as display_statistics
from ActionsRSE import display_actions_rse
from AnalyseActionsRSE import display_analyse_actions_rse
from partiesprenantes import display_materiality_partiesprenantes
from partie_prenante_carte import display_pp
from codecarbon import EmissionsTracker


# Import modifiédes fonctions liées aux scripts
from projetRSE import display_rse_projects
from labelRSE import display_rse_labels
from entreprises_labellisees import display_labelled_companies
from inspirezvous import *
from collaborons import display_company_selection_for_materiality,display_materiality_matrix
from documentations import display_documentation
from RAG_PDF_WEB import rag_pdf_web
from prompt import get_prompts_list,prompt_execution,execute_prompt
from chat_with_pps import display_chat
from high_chart import test_chart
from chat_te import display_chat_te
from comparateur import *
import base64
import pandas as pd


# Function to read and encode an SVG file to Base64
def load_svg_as_base64(file_path):
    with open(file_path, "rb") as f:
        svg_data = f.read()
    return base64.b64encode(svg_data).decode()

def main():
    st.markdown(":point_left: Cliquez pour vous inspirer", unsafe_allow_html=True)
    
    if "emission" not in st.session_state:
        tracker = EmissionsTracker()
        tracker.start()
        st.session_state["emission"] = tracker
    
    if "partial_emissions" not in st.session_state:
        st.session_state["partial_emissions"] = {
            "Scrapping": {"cc": 0, "el": 0}, #cc for codecarbon , el for ecologits
            "extraction_pp": {"cc": 0, "el": 0},
            "cartographie": {"cc": 0, "el": 0},
            "chatbot": {"cc": 0, "el": 0},
            "download_rapport": {"cc": 0, "el": 0},
        }
 
    st.sidebar.title("OPEN DATA & IA au service de la RSE")
    section_principale = st.sidebar.radio(
        "Choisissez votre section",
        ["Data Bordeaux métropole", "Data bziiit","IA RSE","Documentation"],
        index=2
    )

    if section_principale == "Data Bordeaux métropole":
        app_mode = st.sidebar.radio(
            "Choisissez votre sous-section",
            ["Localisations", "Organisations engagées", "Statistiques", "Actions RSE", "Analyse actions RSE"]
        )
        if app_mode == "Localisations":
            display_map()
        elif app_mode == "Organisations engagées":
            display_organisations_engagees()
        elif app_mode == "Statistiques":
            display_statistics()
        elif app_mode == "Actions RSE":
            display_actions_rse()
        elif app_mode == "Analyse actions RSE":
            display_analyse_actions_rse()

  
    elif section_principale == "Data bziiit":
        ia_mode = st.sidebar.radio(
            "Choisissez votre sous-section",
            ["Labels RSE", "Entreprises labellisées", "Fiches entreprises"]
        )
        if ia_mode == "Labels RSE":
            display_rse_labels()
        elif ia_mode == "Entreprises labellisées":
            display_labelled_companies()
        elif ia_mode == "Fiches entreprises":
            data, bziiit_data = fetch_data()
            selected_company = display_company_selection(data)
            display_company_info(data, bziiit_data, selected_company)
 
    elif section_principale == "IA RSE":
        ia_mode = st.sidebar.radio(
            "Choisissez votre sous-section",
            [
                "Audit flash RSE de vos contenus",
                "Parties prenantes",
                "Chatbot Parties Prenantes",
                # "Prompts RSE - TE",
                # "Chatbot RSE - TE",
            ]
        )

        if ia_mode == "Parties prenantes":
            # data, bziiit_data = fetch_data()
            # selected_company = display_company_selection_for_materiality(data)
            # if selected_company:
            #     display_materiality_partiesprenantes(selected_company, data, bziiit_data)
            display_pp()

        # elif ia_mode == "Matrice de matérialité":
        #     data, bziiit_data = fetch_data()
        #     selected_company = display_company_selection_for_materiality(data)
        #     if selected_company:
        #         display_materiality_matrix(selected_company, data, bziiit_data)
        
        elif ia_mode == "Chatbot Parties Prenantes":
            display_chat()
        
        elif ia_mode == "Audit flash RSE de vos contenus":
            rag_pdf_web()
        
        elif ia_mode == "Prompts RSE - TE":
            get_prompts_list()

        # elif ia_mode == "Générations de contenus RSE":
        #     st.header("Exécutez un prompt")

        #     selected_prompt = prompt_execution()
        #     if selected_prompt:
        #         execute_prompt(selected_prompt) 
        elif ia_mode == "Chatbot RSE - TE":
            display_chat_te()

    elif section_principale == "Documentation":
            display_documentation()
            

    #consommation carbone
    st.sidebar.markdown("---")

    svg_file_path = "feuille.svg"
    svg_base64 = load_svg_as_base64(svg_file_path)
    st.sidebar.markdown(
    f"""
    **Votre consommation Carbone**
        <img src='data:image/svg+xml;base64,{svg_base64}' alt='svg' width='15' height='15' style='margin-left: 10px;'>
    """,
    unsafe_allow_html=True
    )
    
    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

    st.sidebar.markdown(f"<div style='text-align: center; margin-bottom: 10px;'><b>{total_emission*1000:.3f}</b> g eq. CO2</div>", unsafe_allow_html=True)
    st.sidebar.markdown("Dont :")
    st.sidebar.markdown(f"- Empreinte serveur (via CodeCarbon) : **{serveur_emission*1000:.3f}** g eq. CO2 ({pourcentage_serveur:.2%})")
    st.sidebar.markdown(f"- Empreinte serveur (via EcoLogits) : **{emission_api*1000:.3f}** g eq. CO2 ({pourcentage_api:.2%})")
    # st.sidebar.markdown("(avec l'outil CodeCarbon)")
    c1,c2,c3 = st.sidebar.columns([1,1,1])

    c2.write("---")

    st.sidebar.markdown("**Votre équivalence**")
    col1,col2,col3 = st.sidebar.columns([1,1,1])
    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")
    st.sidebar.markdown("\n")
    st.sidebar.markdown(
    f"""
    Powered by **ADEME**
        <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;'>
    """,
    unsafe_allow_html=True
    )
    # Instructions communes à toutes les sections
    st.sidebar.markdown("---")
    st.sidebar.markdown("Powered by **bziiit IA RSE**")
    st.sidebar.markdown("2024 : Open source en Licence MIT")
    st.sidebar.markdown("[email protected]")
    
if __name__ == "__main__":
    main()