app.py

import pandas as pd
from openai import OpenAI
import os
import json
import altair as alt
import sqlite3
import ast
import streamlit as st
from streamlit_navigation_bar import st_navbar 
from reportlab.lib.pagesizes import letter
from reportlab.lib import colors
from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Image
from altair_saver import save
from utils.menu import menu
from loguru import logger
from datetime import datetime

st.set_page_config( page_title = 'Insight Lab', page_icon="chart_with_upwards_trend", layout = 'wide')

if "logger" not in st.session_state:
    logger.add("Logger.txt", format="{time:YYYY-MM-DD HH:mm:ss} {level} {message}", level="INFO", enqueue=True)
    st.session_state.logger = logger
    def log_data(data):
        current_date = datetime.now().strftime('%Y-%m-%d')
        current_time = datetime.now().strftime('%H:%M:%S')
        logger.info(f"Date: {current_date}\n========================================\nTime: {current_time}\nLogger Data: {data}\n----------------------------------------\n")
    data = "This is Insight's lab log data."
    log_data(data)
else:
    logger = st.session_state.logger

# logger.add("file_{time}.log")

# Initialize token storage
token_file = "token_usage.json"
if not os.path.exists(token_file):
    with open(token_file, 'w') as f:
        json.dump({}, f)
def store_token_usage(token_usage):
    # current_month = "2025-01"
    current_month = datetime.now().strftime('%Y-%m')
    with open(token_file, 'r') as f:
        token_data = json.load(f)

    if current_month in token_data:
        token_data[current_month] += token_usage
    else:
        token_data[current_month] = token_usage

    with open(token_file, 'w') as f:
        json.dump(token_data, f)

def get_monthly_token_usage():
    with open(token_file, 'r') as f:
        token_data = json.load(f)
    return token_data

# Example usage of get_monthly_token_usage function
monthly_token_usage = get_monthly_token_usage()
# print(monthly_token_usage)
menu()