import os, re, sys, time, math, shutil, urllib, string, random, pickle, zipfile, datetime, platform, psutil
import streamlit as st, pandas as pd, numpy as np

st.set_page_config(page_title="Стартовая страница", page_icon="🦋", layout="wide", initial_sidebar_state="expanded")
# This must be the first Streamlit command used on an app page, and must only be set once per page.
# set_page_config() can only be called once per app page, and must be called as the first Streamlit command in your script.

import my_static_tools as mst
from my_static_tools import HF_tools as hft
from my_static_tools import XYZV_tools as xvt

st.html(mst.STYLE_CORRECTION)

st.sidebar.markdown("💎 Стартовая страница")

df = pd.DataFrame([
{"command": "st.selectbox", "rating": 4, "is_widget": True},
{"command": "st.balloons", "rating": 5, "is_widget": False},
{"command": "st.time_input", "rating": 3, "is_widget": True},
])

edited_df = st.sidebar.data_editor(df, num_rows="dynamic")
favorite_command = edited_df.loc[edited_df["rating"].idxmax()]["command"]
st.sidebar.markdown(f"Your favorite command is **{favorite_command}** 🎚️")



with st.container():
    cols1 = st.columns([4,4,4,4])
    psutil_virtual_memory = psutil.virtual_memory()
    dirParams = {
        "psutil.virtual_memory": psutil_virtual_memory,
        "os.getcwd": os.getcwd(),
        "cpu_count": os.cpu_count(),
        #"environ": os.environ,
        #"os.listdir": os.listdir(),
        "platform": platform.platform(),
        "release": platform.release(),
        "node": platform.node(),
        "processor": platform.processor(),
        "machine": platform.machine(),
        "system": platform.system(),
        "version": platform.version(),
        "python_version": platform.python_version(),
        "python_implementation": platform.python_implementation(),
        "uname": platform.uname(),
        "libc_ver": platform.libc_ver(),
        "architecture": platform.architecture(),
    }
    cols1[0].write(dirParams)
    cols1[1].write(os.environ)
    cols1[2].write(os.listdir())
    #_ = psutil.cpu_percent(percpu=True) # first time is zeros
    cols1[2].write(psutil.cpu_percent(percpu=True))