pages/Limite_Usage.py

# Importation des bibliothèques
import json
import components.fonctions_transcription as TRS
import streamlit as st
import components.logo as logo
import components.identification_aws as authenticate
import datetime
from datetime import datetime as date
import math


# Chargement du fichier des utilisateurs
with open("users_info.json", 'r') as file:
    dict_user = json.load(file)

# Logo de la page
my_logo = logo.add_logo(logo_path="logo_digitalixsa.png", width=100, height=100)
st.image(my_logo)

# Titre de la page
st.title("Limite d'utilisation de la transcription")

# Calcul annee-mois de trascription
maintenant = datetime.datetime.now()
Year = maintenant.year
Month = maintenant.month
Year_Month = str(Year) + '_' + str(Month).zfill(2)

# Check authentication
authenticate.set_st_state_vars()
# Add login/logout buttons
if st.session_state["authenticated"]:
    authenticate.button_logout()
    # informations de l'utilisateur
    user_group = 'utilisateurs_sidwaya'
    user_info = st.session_state["user_info"]
    username = user_info['username']
    user_group = st.session_state["user_cognito_groups"][0]
    # information de l'utilisateur
    user_pool_name = 'transcription_streamlit'
    # auth_code = st.session_state["auth_code"]
    # add user to users_dict and group free
    if username not in dict_user.keys():
        dict_user[username] = {"email": user_info['email'],
                                            "durees_audio_sec":[0],
                                            "date_inscription":str(maintenant),
                                            "dates_transcription":[str(maintenant)],
                                            "abonnement":1}
        #group_name = 'utilisateurs_gratuits'
        # get user pool id 
        #user_pool_id = authenticate.get_user_pool_id(user_pool_name)
        #print("User Pool ID:", user_pool_id)
        #authenticate.add_user_to_group(user_pool_id, username, group_name)

    ##### Affichage utilisation de l'utilisateur #####

    figure , consommation = TRS.graphique_utilisation(dict_user, username, Year_Month)

    ### Utilisateur SIDWAYA
    if user_group == "utilisateurs_sidwaya":
        date_inscription = dict_user[user_info['username']]['date_inscription']
        format = "%Y-%m-%d %H:%M:%S.%f"
        datetime_obj = date.strptime(date_inscription, format)
        # Calculate the difference between the two dates
        difference = maintenant - datetime_obj

        # Display the Plotly figure in Streamlit app
        st.plotly_chart(figure)
        # Affichage consommation 
        st.text("Consommation du mois : "+ str(round(consommation/3600,2))+ "/ 20H")
        st.text("Duree abonnement : "+ str(math.floor(difference.days/30) +1) +"/ 12 mois")

    if user_group == "utilisateurs_vip":
            # Display the Plotly figure in Streamlit app
            st.plotly_chart(figure)
            # Affichage consommation 
            st.text("Consommation du mois : "+ str(round(consommation/3600,2))+ "/ 20H")

    if user_group == "utilisateurs_gratuits":
            # Display the Plotly figure in Streamlit app
            st.plotly_chart(figure)
            # Affichage consommation 
            st.text("Consommation du mois : "+ str(round(consommation/3600,2))+ "/ 20H")
else:
    authenticate.button_login()