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João Herculano
2025-10-24 15:54:54 -03:00
parent 15fa59651c
commit 7221f41ebb
133 changed files with 5195259 additions and 9891 deletions
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Planilha online devolução comercial/.streamlit/config.toml
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[theme]
base = "light"
primaryColor = "#739577"
Planilha online devolução comercial/bg.branco001.jpg
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Planilha online devolução comercial/dados.db
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Planilha online devolução comercial/teste do banco.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "63c7d688",
"metadata": {},
"outputs": [],
"source": [
"import sqlite3\n",
"import pandas as pd\n",
"\n",
"# Caminho absoluto do seu banco\n",
"caminho_banco = r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\CODIGOS\\Planilha online devolução comercial\\dados.db\"\n",
"\n",
"# Conectar e ler a tabela\n",
"conn = sqlite3.connect(caminho_banco)\n",
"df = pd.read_sql(\"SELECT * FROM dados_promocao\", conn)\n",
"\n",
"# Mostrar os dados\n",
"\n",
"\n",
"conn.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "056492cb",
"metadata": {},
"outputs": [
{
"data": {
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>IGUAL?</th>\n",
" <th>NOVO SUPERV</th>\n",
" <th>SUPERVISOR</th>\n",
" <th>ANALISTA</th>\n",
" <th>CANAL</th>\n",
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" <th>SUGESTÃO ABASTECIMENTO</th>\n",
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" <th>SUGESTÃO COMERCIAL original</th>\n",
" <th>QUANTIDADE DEFINITIVA</th>\n",
" <th>qtd aprovados bahia</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1</td>\n",
" <td>Jessica/Mary</td>\n",
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" <td>VA</td>\n",
" <td>CD</td>\n",
" <td>AL</td>\n",
" <td>2099886983</td>\n",
" <td>20998</td>\n",
" <td>CD SERRARIA</td>\n",
" <td>86983</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
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" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>FERNANDA VIEIRA</td>\n",
" <td>FERNANDA VIEIRA</td>\n",
" <td>DARLIN</td>\n",
" <td>VD</td>\n",
" <td>BA</td>\n",
" <td>2099386983</td>\n",
" <td>20993</td>\n",
" <td>ER CANDEIAS</td>\n",
" <td>86983</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>1361</td>\n",
" <td>1019</td>\n",
" <td>1100</td>\n",
" <td>1100</td>\n",
" <td>1100</td>\n",
" <td>3</td>\n",
" <td>3</td>\n",
" <td>1100</td>\n",
" <td>1100.0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>1</td>\n",
" <td>Anna Schelly</td>\n",
" <td>Anna Schelly</td>\n",
" <td>LAIS</td>\n",
" <td>VD</td>\n",
" <td>AL</td>\n",
" <td>2099786983</td>\n",
" <td>20997</td>\n",
" <td>ER PITANGUINHA</td>\n",
" <td>86983</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>1438</td>\n",
" <td>889</td>\n",
" <td>1300</td>\n",
" <td>1300</td>\n",
" <td>0</td>\n",
" <td>30</td>\n",
" <td>30</td>\n",
" <td>30</td>\n",
" <td>NaN</td>\n",
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" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>Anna Schelly</td>\n",
" <td>Anna Schelly</td>\n",
" <td>LAIS</td>\n",
" <td>VD</td>\n",
" <td>AL</td>\n",
" <td>2099686983</td>\n",
" <td>20996</td>\n",
" <td>ER ANTARES</td>\n",
" <td>86983</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>742</td>\n",
" <td>756</td>\n",
" <td>800</td>\n",
" <td>800</td>\n",
" <td>800</td>\n",
" <td>10</td>\n",
" <td>10</td>\n",
" <td>10</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>FERNANDA VIEIRA</td>\n",
" <td>FERNANDA VIEIRA</td>\n",
" <td>LUCAS</td>\n",
" <td>VD</td>\n",
" <td>BA</td>\n",
" <td>2099486983</td>\n",
" <td>20994</td>\n",
" <td>ER SIMOES FILHO</td>\n",
" <td>86983</td>\n",
" <td>...</td>\n",
" <td>0</td>\n",
" <td>912</td>\n",
" <td>719</td>\n",
" <td>800</td>\n",
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" <td>800</td>\n",
" <td>25</td>\n",
" <td>25</td>\n",
" <td>800</td>\n",
" <td>800.0</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 39 columns</p>\n",
"</div>"
],
"text/plain": [
" IGUAL? NOVO SUPERV SUPERVISOR ANALISTA CANAL UF chave \\\n",
"0 1 Jessica/Mary Jessica/Mary VA CD AL 2099886983 \n",
"1 1 FERNANDA VIEIRA FERNANDA VIEIRA DARLIN VD BA 2099386983 \n",
"2 1 Anna Schelly Anna Schelly LAIS VD AL 2099786983 \n",
"3 1 Anna Schelly Anna Schelly LAIS VD AL 2099686983 \n",
"4 1 FERNANDA VIEIRA FERNANDA VIEIRA LUCAS VD BA 2099486983 \n",
"\n",
" PDV DESCRIÇÃO PDV PRODUTO LANÇAMENTO ... ignorar META SELLIN \\\n",
"0 20998 CD SERRARIA 86983 ... 0 3007 \n",
"1 20993 ER CANDEIAS 86983 ... 0 1361 \n",
"2 20997 ER PITANGUINHA 86983 ... 0 1438 \n",
"3 20996 ER ANTARES 86983 ... 0 742 \n",
"4 20994 ER SIMOES FILHO 86983 ... 0 912 \n",
"\n",
" PV GINSENG sugest compilado novo SUGESTÃO ABASTECIMENTO SUGESTÃO COMERCIAL \\\n",
"0 1943 0 2000 5 \n",
"1 1019 1100 1100 1100 \n",
"2 889 1300 1300 0 \n",
"3 756 800 800 800 \n",
"4 719 800 750 800 \n",
"\n",
" nova quantidade SUGESTÃO COMERCIAL original QUANTIDADE DEFINITIVA \\\n",
"0 5 5 5 \n",
"1 3 3 1100 \n",
"2 30 30 30 \n",
"3 10 10 10 \n",
"4 25 25 800 \n",
"\n",
" qtd aprovados bahia \n",
"0 NaN \n",
"1 1100.0 \n",
"2 NaN \n",
"3 NaN \n",
"4 800.0 \n",
"\n",
"[5 rows x 39 columns]"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "12fd47f7",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"np.float64(289.0)"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['SUGESTÃO COMERCIAL'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "36b255d1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Lendo arquivo Excel...\n",
"Abas disponíveis: ['Planilha1 (2)', 'Planilha1', 'faltando', 'Sheet1']\n",
"\\nArquivo lido com sucesso!\n",
"Dimensões: 2508 linhas x 39 colunas\n",
"\\nColunas encontradas:\n",
"1. IGUAL?\n",
"2. NOVO SUPERV\n",
"3. SUPERVISOR\n",
"4. ANALISTA\n",
"5. CANAL\n",
"6. UF\n",
"7. chave\n",
"8. PDV\n",
"9. DESCRIÇÃO PDV\n",
"10. PRODUTO LANÇAMENTO\n",
"11. DESCRIÇÃO DO LANÇAMENTO\n",
"12. MARCA\n",
"13. CATEGORIA\n",
"14. % CONSUMIDOR\n",
"15. MECANICA CONSUMIDOR\n",
"16. % REVENDEDOR\n",
"17. MECANICA REVENDEDOR\n",
"18. IAF\n",
"19. FOCO\n",
"20. PRODUTO SIMILAR\n",
"21. DESCRIÇÃO SIMILAR\n",
"22. CICLO SIMILAR\n",
"23. VENDAS CICLO LANÇAMENTO\n",
"24. C-4\n",
"25. C-3\n",
"26. C-2\n",
"27. C-1\n",
"28. VENDAS CICLO ATUAL\n",
"29. PICO VENDAS SIMILAR ULTIMOS 6 CICLOS\n",
"30. ignorar\n",
"31. META SELLIN\n",
"32. PV GINSENG\n",
"33. sugest compilado novo\n",
"34. SUGESTÃO ABASTECIMENTO\n",
"35. SUGESTÃO COMERCIAL\n",
"36. nova quantidade\n",
"37. SUGESTÃO COMERCIAL original\n",
"38. QUANTIDADE DEFINITIVA\n",
"39. qtd aprovados bahia\n",
"\\nPrimeiras 3 linhas:\n",
" IGUAL? NOVO SUPERV SUPERVISOR ANALISTA CANAL UF chave \\\n",
"0 True Jessica/Mary Jessica/Mary VA CD AL 2099886983 \n",
"1 True FERNANDA VIEIRA FERNANDA VIEIRA DARLIN VD BA 2099386983 \n",
"2 True Anna Schelly Anna Schelly LAIS VD AL 2099786983 \n",
"\n",
" PDV DESCRIÇÃO PDV PRODUTO LANÇAMENTO ... ignorar META SELLIN \\\n",
"0 20998 CD SERRARIA 86983 ... 0 3007 \n",
"1 20993 ER CANDEIAS 86983 ... 0 1361 \n",
"2 20997 ER PITANGUINHA 86983 ... 0 1438 \n",
"\n",
" PV GINSENG sugest compilado novo SUGESTÃO ABASTECIMENTO SUGESTÃO COMERCIAL \\\n",
"0 1943 0 2000 5 \n",
"1 1019 1100 1100 1100 \n",
"2 889 1300 1300 30 \n",
"\n",
" nova quantidade SUGESTÃO COMERCIAL original QUANTIDADE DEFINITIVA \\\n",
"0 5 5 5 \n",
"1 3 3 1100 \n",
"2 30 30 30 \n",
"\n",
" qtd aprovados bahia \n",
"0 NaN \n",
"1 1100.0 \n",
"2 NaN \n",
"\n",
"[3 rows x 39 columns]\n",
"\\nConectando ao banco de dados...\n",
"Inserindo dados na tabela 'dados_promocao'...\n",
"Dados inseridos com sucesso!\n",
"2508 registros foram inseridos na tabela 'dados_promocao'\n",
"\\nVerificação - Primeiras 5 linhas da tabela:\n",
" IGUAL? NOVO SUPERV SUPERVISOR ANALISTA CANAL UF chave \\\n",
"0 1 Jessica/Mary Jessica/Mary VA CD AL 2099886983 \n",
"1 1 FERNANDA VIEIRA FERNANDA VIEIRA DARLIN VD BA 2099386983 \n",
"2 1 Anna Schelly Anna Schelly LAIS VD AL 2099786983 \n",
"3 1 Anna Schelly Anna Schelly LAIS VD AL 2099686983 \n",
"4 1 FERNANDA VIEIRA FERNANDA VIEIRA LUCAS VD BA 2099486983 \n",
"\n",
" PDV DESCRIÇÃO PDV PRODUTO LANÇAMENTO ... ignorar META SELLIN \\\n",
"0 20998 CD SERRARIA 86983 ... 0 3007 \n",
"1 20993 ER CANDEIAS 86983 ... 0 1361 \n",
"2 20997 ER PITANGUINHA 86983 ... 0 1438 \n",
"3 20996 ER ANTARES 86983 ... 0 742 \n",
"4 20994 ER SIMOES FILHO 86983 ... 0 912 \n",
"\n",
" PV GINSENG sugest compilado novo SUGESTÃO ABASTECIMENTO SUGESTÃO COMERCIAL \\\n",
"0 1943 0 2000 5 \n",
"1 1019 1100 1100 1100 \n",
"2 889 1300 1300 30 \n",
"3 756 800 800 10 \n",
"4 719 800 750 800 \n",
"\n",
" nova quantidade SUGESTÃO COMERCIAL original QUANTIDADE DEFINITIVA \\\n",
"0 5 5 5 \n",
"1 3 3 1100 \n",
"2 30 30 30 \n",
"3 10 10 10 \n",
"4 25 25 800 \n",
"\n",
" qtd aprovados bahia \n",
"0 NaN \n",
"1 1100.0 \n",
"2 NaN \n",
"3 NaN \n",
"4 800.0 \n",
"\n",
"[5 rows x 39 columns]\n",
"\\nProcesso concluído com sucesso!\n"
]
}
],
"source": [
"import sqlite3\n",
"import pandas as pd\n",
"\n",
"import sqlite3\n",
"import pandas as pd\n",
"\n",
"# Caminhos\n",
"arquivo_excel = r\"C:\\\\Users\\\\joao.herculano\\\\GRUPO GINSENG\\\\Assistência Suprimentos - 2025\\\\SUPRIMENTOS\\\\BD_LANÇAMENTOS\\\\BOT\\\\Bot - C13\\\\LANÇAMENTOS\\\\Lançamento C2025.13_ com abast.xlsx\"\n",
"caminho_banco = r\"C:\\\\Users\\\\joao.herculano\\\\GRUPO GINSENG\\\\Assistência Suprimentos - 2025\\\\CODIGOS\\\\Planilha online devolução comercial\\\\dados.db\"\n",
"\n",
"print(\"Lendo arquivo Excel...\")\n",
"\n",
"# Ler o arquivo Excel\n",
"try:\n",
" # Primeiro, vamos ver quais abas existem\n",
" excel_file = pd.ExcelFile(arquivo_excel)\n",
" print(f\"Abas disponíveis: {excel_file.sheet_names}\")\n",
" \n",
" # Ler a primeira aba (ou você pode especificar qual aba quer)\n",
" df = pd.read_excel(arquivo_excel, sheet_name='Sheet1') # sheet_name=0 pega a primeira aba\n",
" \n",
" print(f\"\\\\nArquivo lido com sucesso!\")\n",
" print(f\"Dimensões: {df.shape[0]} linhas x {df.shape[1]} colunas\")\n",
" print(f\"\\\\nColunas encontradas:\")\n",
" for i, col in enumerate(df.columns):\n",
" print(f\"{i+1}. {col}\")\n",
" \n",
" print(f\"\\\\nPrimeiras 3 linhas:\")\n",
" print(df.head(3))\n",
" \n",
" # Conectar ao banco\n",
" print(\"\\\\nConectando ao banco de dados...\")\n",
" conn = sqlite3.connect(caminho_banco)\n",
" \n",
" # Subir os dados para a tabela dados_promocao\n",
" print(\"Inserindo dados na tabela 'dados_promocao'...\")\n",
" df.to_sql('dados_promocao', conn, if_exists='replace', index=False)\n",
" \n",
" print(f\"Dados inseridos com sucesso!\")\n",
" print(f\"{len(df)} registros foram inseridos na tabela 'dados_promocao'\")\n",
" \n",
" # Verificar se os dados foram inseridos\n",
" df_verificacao = pd.read_sql(\"SELECT * FROM dados_promocao LIMIT 5\", conn)\n",
" print(f\"\\\\nVerificação - Primeiras 5 linhas da tabela:\")\n",
" print(df_verificacao)\n",
" \n",
" conn.close()\n",
" print(\"\\\\nProcesso concluído com sucesso!\")\n",
" \n",
"except FileNotFoundError:\n",
" print(f\"Erro: Arquivo não encontrado no caminho especificado.\")\n",
" print(f\"Verifique se o arquivo existe em: {arquivo_excel}\")\n",
" \n",
"except Exception as e:\n",
" print(f\"Erro ao processar: {e}\")\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "852a3508",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tabela 'usuarios' criada com sucesso!\n",
"\n",
"Dados inseridos:\n",
"Email: anna.schelly@ginseng.com, Senha: anna123, Supervisor: Anna Schelly\n",
"Email: jessica.mary@ginseng.com, Senha: jessica123, Supervisor: Jessica/Mary\n",
"Email: carla.melo@ginseng.com, Senha: carla123, Supervisor: Carla Melo\n",
"Email: ana.lima@ginseng.com, Senha: ana123, Supervisor: Ana Lima\n",
"Email: taciana.andrade@ginseng.com, Senha: taciana123, Supervisor: Taciana Andrade\n",
"Email: efigenia.herculano@ginseng.com, Senha: efigenia123, Supervisor: Efigênia Herculano\n"
]
}
],
"source": [
"import sqlite3\n",
"\n",
"# Caminho do seu banco\n",
"caminho_banco = r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\CODIGOS\\Planilha online devolução comercial\\dados.db\"\n",
"\n",
"# Dados dos usuários\n",
"usuarios = {\n",
" \"anna.schelly@ginseng.com\": {\"senha\": \"anna123\", \"supervisor\": \"Anna Schelly\"},\n",
" \"jessica.mary@ginseng.com\": {\"senha\": \"jessica123\", \"supervisor\": \"Jessica/Mary\"},\n",
" \"carla.melo@ginseng.com\": {\"senha\": \"carla123\", \"supervisor\": \"Carla Melo\"},\n",
" \"ana.lima@ginseng.com\": {\"senha\": \"ana123\", \"supervisor\": \"Ana Lima\"},\n",
" \"taciana.andrade@ginseng.com\": {\"senha\": \"taciana123\", \"supervisor\": \"Taciana Andrade\"},\n",
" \"efigenia.herculano@ginseng.com\": {\"senha\": \"efigenia123\", \"supervisor\": \"Efigênia Herculano\"},\n",
"}\n",
"\n",
"# Conectar ao banco\n",
"conn = sqlite3.connect(caminho_banco)\n",
"cursor = conn.cursor()\n",
"\n",
"# Criar a tabela usuarios\n",
"cursor.execute('''\n",
"CREATE TABLE IF NOT EXISTS usuarios (\n",
" email TEXT NOT NULL,\n",
" senha TEXT NOT NULL,\n",
" supervisor TEXT NOT NULL\n",
")\n",
"''')\n",
"\n",
"# Inserir os dados\n",
"for email, dados in usuarios.items():\n",
" cursor.execute('''\n",
" INSERT OR REPLACE INTO usuarios (email, senha, supervisor)\n",
" VALUES (?, ?, ?)\n",
" ''', (email, dados['senha'], dados['supervisor']))\n",
"\n",
"# Confirmar as mudanças\n",
"conn.commit()\n",
"\n",
"# Verificar se os dados foram inseridos\n",
"cursor.execute(\"SELECT * FROM usuarios\")\n",
"resultados = cursor.fetchall()\n",
"\n",
"print(\"Tabela 'usuarios' criada com sucesso!\")\n",
"print(\"\\nDados inseridos:\")\n",
"for linha in resultados:\n",
" print(f\"Email: {linha[0]}, Senha: {linha[1]}, Supervisor: {linha[2]}\")\n",
"\n",
"conn.close()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "b3c35879",
"metadata": {},
"outputs": [],
"source": [
"# Conectar ao banco\n",
"conn = sqlite3.connect(caminho_banco)\n",
"cursor = conn.cursor()\n",
"\n",
"\n",
"# Inserir os dados\n",
"\n",
"cursor.execute('''\n",
"INSERT OR REPLACE INTO usuarios (email, senha, supervisor)\n",
"VALUES (?, ?, ?)\n",
"''', ('joao.teste@ginseng.com.br','teste123', 'Ana Lima'))\n",
"\n",
"# Confirmar as mudanças\n",
"conn.commit()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "fa34c1aa",
"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>email</th>\n",
" <th>senha</th>\n",
" <th>supervisor</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>anna.schelly@ginseng.com</td>\n",
" <td>anna123</td>\n",
" <td>Anna Schelly</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>jessica.mary@ginseng.com</td>\n",
" <td>jessica123</td>\n",
" <td>Jessica/Mary</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>carla.melo@ginseng.com</td>\n",
" <td>carla123</td>\n",
" <td>Carla Melo</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>ana.lima@ginseng.com</td>\n",
" <td>ana123</td>\n",
" <td>Ana Lima</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>taciana.andrade@ginseng.com</td>\n",
" <td>taciana123</td>\n",
" <td>Taciana Andrade</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>efigenia.herculano@ginseng.com</td>\n",
" <td>efigenia123</td>\n",
" <td>Efigênia Herculano</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>joao.teste@ginseng.com.br</td>\n",
" <td>teste123</td>\n",
" <td>Jessica/Mary</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>joao.teste@ginseng.com.br</td>\n",
" <td>teste123</td>\n",
" <td>Anna Schelly</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>joao.teste@ginseng.com.br</td>\n",
" <td>teste123</td>\n",
" <td>Taciana Andrade</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>joao.teste@ginseng.com.br</td>\n",
" <td>teste123</td>\n",
" <td>Carla Melo</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>joao.teste@ginseng.com.br</td>\n",
" <td>teste123</td>\n",
" <td>Ana Lima</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" email senha supervisor\n",
"0 anna.schelly@ginseng.com anna123 Anna Schelly\n",
"1 jessica.mary@ginseng.com jessica123 Jessica/Mary\n",
"2 carla.melo@ginseng.com carla123 Carla Melo\n",
"3 ana.lima@ginseng.com ana123 Ana Lima\n",
"4 taciana.andrade@ginseng.com taciana123 Taciana Andrade\n",
"5 efigenia.herculano@ginseng.com efigenia123 Efigênia Herculano\n",
"6 joao.teste@ginseng.com.br teste123 Jessica/Mary\n",
"7 joao.teste@ginseng.com.br teste123 Anna Schelly\n",
"8 joao.teste@ginseng.com.br teste123 Taciana Andrade\n",
"9 joao.teste@ginseng.com.br teste123 Carla Melo\n",
"10 joao.teste@ginseng.com.br teste123 Ana Lima"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Conectar e ler a tabela\n",
"conn = sqlite3.connect(caminho_banco)\n",
"df1 = pd.read_sql(\"SELECT * FROM usuarios\", conn)\n",
"\n",
"# Mostrar os dados\n",
"\n",
"conn.close()\n",
"\n",
"df1.head(20)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "8539e1fe",
"metadata": {},
"outputs": [],
"source": [
"import sqlite3\n",
"\n",
"caminho_banco = r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\CODIGOS\\Planilha online devolução comercial\\dados.db\"\n",
"\n",
"script = \"\"\"\n",
"DROP TABLE IF EXISTS usuarios;\n",
"\n",
"CREATE TABLE usuarios (\n",
" email TEXT NOT NULL,\n",
" senha TEXT NOT NULL,\n",
" supervisor TEXT NOT NULL,\n",
" PRIMARY KEY (email, supervisor)\n",
");\n",
"\n",
"\"\"\"\n",
"\n",
"conn = sqlite3.connect(caminho_banco)\n",
"cursor = conn.cursor()\n",
"cursor.executescript(script)\n",
"conn.commit()\n",
"conn.close()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8e901290",
"metadata": {},
"outputs": [],
"source": [
"conn = sqlite3.connect(caminho_banco)\n",
"cursor = conn.cursor()\n",
"\n",
"cursor.execute('''\n",
"DROP TABLE IF EXISTS dados_promocao''')\n",
"\n",
"# Confirmar as mudanças\n",
"conn.commit()\n",
"conn.close()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "56d08212",
"metadata": {},
"outputs": [],
"source": [
"conn = sqlite3.connect(caminho_banco)\n",
"cursor = conn.cursor()\n",
"\n",
"cursor.execute(\n",
" '''INSERT INTO usuarios (email, senha, supervisor) VALUES\n",
" ('anna.schelly@ginseng.com', 'anna123', 'Anna Schelly'),\n",
" ('jessica.mary@ginseng.com', 'jessica123', 'Jessica/Mary'),\n",
" ('carla.melo@ginseng.com', 'carla123', 'Carla Melo'),\n",
" ('ana.lima@ginseng.com', 'ana123', 'Ana Lima'),\n",
" ('taciana.andrade@ginseng.com', 'taciana123', 'Taciana Andrade'),\n",
" ('efigenia.herculano@ginseng.com', 'efigenia123', 'Efigênia Herculano'),\n",
" ('joao.teste@ginseng.com.br', 'teste123', 'Jessica/Mary'),\n",
" ('joao.teste@ginseng.com.br', 'teste123', 'Anna Schelly');''')\n",
"\n",
"# Confirmar as mudanças\n",
"conn.commit()\n",
"conn.close()\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "ac883a70",
"metadata": {},
"outputs": [],
"source": [
"conn = sqlite3.connect(caminho_banco)\n",
"cursor = conn.cursor()\n",
"\n",
"cursor.execute('''\n",
" INSERT INTO usuarios (email, senha, supervisor)\n",
" VALUES (?, ?, ?)\n",
" ''', ('joao.teste@ginseng.com.br', 'teste123', 'Taciana Andrade'))\n",
"\n",
"# Confirmar as mudanças\n",
"conn.commit()\n",
"conn.close()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "535247e1",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.13.2"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Planilha online devolução comercial/testePlanilhaOnline.py
+189
View File
@@ -0,0 +1,189 @@
import streamlit as st
import pandas as pd
import sqlite3
import os
from PIL import Image
import base64
st.set_page_config(layout="wide")
ARQUIVO_ORIGEM = r"C:\Users\joao.herculano\GRUPO GINSENG\Assistência Suprimentos - 2025\SUPRIMENTOS\BD_LANÇAMENTOS\BOT\BOT - C16\Lançamento BOTI C202516.xlsx"
TABELA_SQLITE = "dados_promocao"
BANCO = r"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\CODIGOS\\Planilha online devolução comercial\\dados.db"
BG_PATH = r"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\ANALISE_ESTOQUE\\PACOTE DE COMUNICAÇÃO - GINSENG 2025\\POWER POINT\\BACKGROUNDS\\bg.branco001.jpg"
@st.cache_data(show_spinner=False)
def carregar_dados_excel():
return pd.read_excel(ARQUIVO_ORIGEM)
def set_background(jpg_file):
with open(jpg_file, "rb") as f:
base64_img = base64.b64encode(f.read()).decode()
css = f"""
<style>
.stApp {{
background-image: url("data:image/jpg;base64,{base64_img}");
background-size: cover;
}}
header {{ display: none !important; }}
#MainMenu {{ visibility: hidden; }}
footer {{ visibility: hidden; }}
</style>
"""
st.markdown(css, unsafe_allow_html=True)
set_background(BG_PATH)
if "autenticado" not in st.session_state:
st.session_state.autenticado = False
if "pagina_liberada" not in st.session_state:
st.session_state.pagina_liberada = False
conn = sqlite3.connect(BANCO, check_same_thread=False)
cursor = conn.cursor()
# LOGIN via tabela de usuários no banco
if not st.session_state.autenticado:
st.header("Bem-vindo!")
st.subheader("A plataforma GINSENG de pedidos.")
with st.form(key="login_form"):
email = st.text_input("Digite seu email:", type="default")
senha = st.text_input("Digite sua senha:", type="password")
submit = st.form_submit_button("Entrar")
if submit:
cursor.execute("SELECT supervisor FROM usuarios WHERE email = ? AND senha = ?", (email, senha))
resultados = cursor.fetchall()
if resultados:
supervisores = [r[0] for r in resultados]
st.session_state.autenticado = True
st.session_state.email = email
st.session_state.supervisores = supervisores
st.rerun()
else:
st.error("Email ou senha inválidos.")
st.stop()
else:
st.stop()
banco_existe = os.path.exists(BANCO)
if not banco_existe:
df_excel = carregar_dados_excel()
df_excel.to_sql(TABELA_SQLITE, conn, if_exists="replace", index=False)
# Criação de tabela apenas se não existir
cursor.execute(f"""
CREATE TABLE IF NOT EXISTS {TABELA_SQLITE} AS
SELECT * FROM carregar_dados_excel() LIMIT 0
""")
# Lê do banco
df = pd.read_sql(f"SELECT * FROM {TABELA_SQLITE}", conn)
if st.session_state.autenticado and not st.session_state.pagina_liberada:
st.title("Resumo")
if "SUGESTÃO COMERCIAL" in df.columns:
df_supervisor = df[df["SUPERVISOR"].isin(st.session_state.supervisores)]
ufs = sorted(df_supervisor["UF"].dropna().unique())
filtro_uf = st.multiselect("Filtrar por UF", ufs, default=ufs)
df_filtro = df_supervisor[df_supervisor["UF"].isin(filtro_uf)]
resumo = df_filtro.groupby("DESCRIÇÃO PDV", as_index=False)["SUGESTÃO COMERCIAL"].sum()
resumo = resumo.sort_values("SUGESTÃO COMERCIAL", ascending=False)
total = df_filtro["SUGESTÃO COMERCIAL"].sum()
st.subheader("Resumo por PDV")
st.dataframe(resumo, use_container_width=True)
st.markdown(f"**Total sugerido:** {total:,.2f}")
if st.button("Continuar para planilha de edição"):
st.session_state.pagina_liberada = True
st.rerun()
else:
st.stop()
if "edicoes" not in st.session_state:
st.session_state.edicoes = {}
if st.session_state.pagina_liberada:
if st.button("Voltar para resumo"):
st.session_state.pagina_liberada = False
st.rerun()
supervisores_usuario = st.session_state.supervisores
coluna_editavel = "SUGESTÃO COMERCIAL"
colunas_usadas = ['SUPERVISOR', 'UF', 'DESCRIÇÃO PDV','DESCRIÇÃO DO LANÇAMENTO', 'IAF','% CONSUMIDOR', '% REVENDEDOR','PV GINSENG',
'SUGESTÃO ABASTECIMENTO', coluna_editavel]
df = df[colunas_usadas]
df_usuario = df[df["SUPERVISOR"].isin(supervisores_usuario)].copy()
pdvs = df_usuario["DESCRIÇÃO PDV"].unique()
pdv_filtrado = st.multiselect("Filtrar por PDV (opcional)", sorted(pdvs), default=pdvs)
df_filtrado = df_usuario[df_usuario["DESCRIÇÃO PDV"].isin(pdv_filtrado)].copy()
df_filtrado["__idx"] = df_filtrado.index
for idx in df_filtrado.index:
if idx in st.session_state.edicoes:
for col, val in st.session_state.edicoes[idx].items():
df_filtrado.at[idx, col] = val
st.write("Aqui estão seus dados filtrados:")
colunas_desabilitadas = [col for col in df_filtrado.columns if col != coluna_editavel]
editado = st.data_editor(
df_filtrado,
disabled=colunas_desabilitadas,
num_rows="fixed",
use_container_width=True,
height=800,
hide_index=True,
key="editor"
)
if st.button("Salvar alterações"):
atualizacoes = 0
for i, row in editado.iterrows():
original_idx = row["__idx"]
novo_val = row[coluna_editavel]
if pd.isna(novo_val) or str(novo_val).strip() == "":
continue
linha_ref = df_filtrado.loc[original_idx]
cursor.execute(f"""
UPDATE {TABELA_SQLITE}
SET "{coluna_editavel}" = ?
WHERE SUPERVISOR = ?
AND "DESCRIÇÃO PDV" = ?
AND "DESCRIÇÃO DO LANÇAMENTO" = ?
""", (
novo_val,
linha_ref["SUPERVISOR"],
linha_ref["DESCRIÇÃO PDV"],
linha_ref["DESCRIÇÃO DO LANÇAMENTO"]
))
atualizacoes += 1
if original_idx not in st.session_state.edicoes:
st.session_state.edicoes[original_idx] = {}
st.session_state.edicoes[original_idx][coluna_editavel] = novo_val
conn.commit()
if atualizacoes:
st.success(f"{atualizacoes} alterações salvas com sucesso!")
st.session_state.edicoes.clear()
st.rerun()
else:
st.info("Nenhuma alteração válida para salvar.")
conn.close()