{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c8d9a033",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import glob\n",
    "import os \n",
    "from datetime import date\n",
    "\n",
    "# Set the path to the folder containing CSV files\n",
    "folder_path = r\"C:\\Users\\joao.herculano\\Documents\\estudo cobertura alta 1107\\DRAFT\"\n",
    "\n",
    "# Pattern to match all CSV files\n",
    "csv_files = glob.glob(os.path.join(folder_path, '*.csv'))\n",
    "\n",
    "# Read and concat all CSVs\n",
    "df_draft = pd.concat([pd.read_csv(file) for file in csv_files], ignore_index=True)\n",
    "\n",
    "df_draft.shape\n",
    "\n",
    "today = date.today()\n",
    "\n",
    "df_draft = df_draft[df_draft['Dias sem venda']>40]\n",
    "\n",
    "df_draft = df_draft[df_draft['Estoque Atual']>0]\n",
    "\n",
    "df_draft['Total estoque'] = df_draft['Preço Sell In'] * df_draft['Estoque Atual']\n",
    "\n",
    "df_draft['Total trânsito'] = df_draft['Preço Sell In'] * df_draft['Estoque em Transito']\n",
    "\n",
    "df_draft.sort_values(by='Total estoque',ascending=False,inplace=True)\n",
    "\n",
    "df_draft['Promoção'] = np.where(~df_draft['Promoção Próximo Ciclo'].isna(),'SIM',np.where(~df_draft['Promoção Próximo Ciclo + 1'].isna(),'SIM','NÃO'))\n",
    "\n",
    "df_draft['Projeção Próximo Ciclo + 1'] = df_draft['Projeção Próximo Ciclo + 1']-df_draft['Projeção Próximo Ciclo']\n",
    "\n",
    "df_draft2 = df_draft\n",
    "\n",
    "\n",
    "df_draft2.to_excel(f'C:\\\\Users\\\\joao.herculano\\\\Documents\\\\estudo cobertura alta 1107\\\\draft{today}2.xlsx',index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4538e881",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(1884)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_draft['Promoção Próximo Ciclo'].isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "71240beb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(12480)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_draft['Estoque Atual'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6cda199e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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