{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bd78c2e2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(105809, 4)\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import glob\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# Caminho da pasta com os arquivos Excel\n",
    "folder_path = r\"C:\\Users\\joao.herculano\\Documents\\analise de previsao ginseng x mar\\promoções\"\n",
    "\n",
    "# Padrão para localizar todos os arquivos .xlsx\n",
    "excel_files = glob.glob(os.path.join(folder_path, '*.xlsx'))\n",
    "\n",
    "# Lista para armazenar os DataFrames válidos\n",
    "dataframes = []\n",
    "\n",
    "# Colunas obrigatórias\n",
    "required_columns = ['PDV',\n",
    "'PRODUTO',\n",
    "'COMPRA FINAL']\n",
    "\n",
    "# Para cada arquivo Excel\n",
    "for file in excel_files:\n",
    "    success = False\n",
    "    for header_row in range(10):\n",
    "        try:\n",
    "            df = pd.read_excel(file, header=header_row)\n",
    "            if all(col in df.columns for col in required_columns):\n",
    "                if 'Sugestão Pedro' in df.columns or 'Sugestão Laura' in df.columns:\n",
    "                    print(file)\n",
    "                df = df[required_columns]\n",
    "                df['arquivo fonte'] = file\n",
    "                dataframes.append(df)\n",
    "                success = True\n",
    "                break\n",
    "        except Exception as e:\n",
    "            continue\n",
    "    if not success:\n",
    "        print(f\"Arquivo ignorado (colunas ausentes ou erro na leitura): {file}\")\n",
    "\n",
    "# Concatena os DataFrames válidos\n",
    "retorno_analista = pd.concat(dataframes, ignore_index=True)\n",
    "\n",
    "# Exibe a forma do DataFrame resultante\n",
    "print(retorno_analista.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8f30f0f6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(105809, 4)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retorno_analista = retorno_analista.drop_duplicates()\n",
    "retorno_analista.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3288bda7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PDV', 'PRODUTO', 'COMPRA FINAL', 'arquivo fonte'], dtype='object')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retorno_analista.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d3e20e1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "retorno_analista = retorno_analista.fillna(0)\n",
    "#retorno_analista = retorno_analista[retorno_analista['COMPRA FINAL']!=0]\n",
    "retorno_analista['COMPRA FINAL'] = retorno_analista['COMPRA FINAL'].astype('Int64')\n",
    "\n",
    "retorno_analista2 = retorno_analista.groupby(['PDV','PRODUTO','arquivo fonte'])['COMPRA FINAL'].max().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "96504ca6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PDV</th>\n",
       "      <th>PRODUTO</th>\n",
       "      <th>arquivo fonte</th>\n",
       "      <th>COMPRA FINAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>57211</th>\n",
       "      <td>20997</td>\n",
       "      <td>84387</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "      <td>3000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55854</th>\n",
       "      <td>20997</td>\n",
       "      <td>22249</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54453</th>\n",
       "      <td>20996</td>\n",
       "      <td>48062</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49726</th>\n",
       "      <td>20993</td>\n",
       "      <td>19734</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "      <td>1450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50060</th>\n",
       "      <td>20993</td>\n",
       "      <td>50677</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "      <td>1450</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         PDV  PRODUTO                                      arquivo fonte  \\\n",
       "57211  20997    84387  C:\\Users\\joao.herculano\\Documents\\analise de p...   \n",
       "55854  20997    22249  C:\\Users\\joao.herculano\\Documents\\analise de p...   \n",
       "54453  20996    48062  C:\\Users\\joao.herculano\\Documents\\analise de p...   \n",
       "49726  20993    19734  C:\\Users\\joao.herculano\\Documents\\analise de p...   \n",
       "50060  20993    50677  C:\\Users\\joao.herculano\\Documents\\analise de p...   \n",
       "\n",
       "       COMPRA FINAL  \n",
       "57211          3000  \n",
       "55854          1600  \n",
       "54453          1500  \n",
       "49726          1450  \n",
       "50060          1450  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retorno_analista2.sort_values('COMPRA FINAL',ascending=False).head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "e66c606c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chave</th>\n",
       "      <th>PDV</th>\n",
       "      <th>PRODUTO</th>\n",
       "      <th>COMPRA FINAL</th>\n",
       "      <th>arquivo fonte</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>35461004</td>\n",
       "      <td>3546</td>\n",
       "      <td>1004</td>\n",
       "      <td>0</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>35461004</td>\n",
       "      <td>3546</td>\n",
       "      <td>1004</td>\n",
       "      <td>0</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35461004</td>\n",
       "      <td>3546</td>\n",
       "      <td>1004</td>\n",
       "      <td>0</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35461676</td>\n",
       "      <td>3546</td>\n",
       "      <td>1676</td>\n",
       "      <td>0</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35461680</td>\n",
       "      <td>3546</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>C:\\Users\\joao.herculano\\Documents\\analise de p...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      chave   PDV  PRODUTO  COMPRA FINAL  \\\n",
       "0  35461004  3546     1004             0   \n",
       "1  35461004  3546     1004             0   \n",
       "2  35461004  3546     1004             0   \n",
       "3  35461676  3546     1676             0   \n",
       "4  35461680  3546     1680             0   \n",
       "\n",
       "                                       arquivo fonte  \n",
       "0  C:\\Users\\joao.herculano\\Documents\\analise de p...  \n",
       "1  C:\\Users\\joao.herculano\\Documents\\analise de p...  \n",
       "2  C:\\Users\\joao.herculano\\Documents\\analise de p...  \n",
       "3  C:\\Users\\joao.herculano\\Documents\\analise de p...  \n",
       "4  C:\\Users\\joao.herculano\\Documents\\analise de p...  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retorno_analista2['chave'] = retorno_analista2['PDV'].astype('str')+retorno_analista2['PRODUTO'].astype('str')\n",
    "\n",
    "retorno_analista2.head()\n",
    "retorno_analista2 = retorno_analista2[['chave','PDV',\t'PRODUTO',\t'COMPRA FINAL','arquivo fonte'\t]]\n",
    "\n",
    "retorno_analista2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "527c33cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    35461004\n",
       "1    35461004\n",
       "2    35461004\n",
       "3    35461676\n",
       "4    35461680\n",
       "Name: chave, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "retorno_analista2['chave'] = retorno_analista2['chave'].str.replace('.0','')\n",
    "\n",
    "retorno_analista2['chave'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2819f6d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "retorno_analista2.to_excel(r'C:\\Users\\joao.herculano\\Documents\\analise de previsao ginseng x mar\\CompiladoPromo.xlsx',index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1d8b6fc0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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