# -*- coding: utf-8 -*- import requests import json import socket import pyodbc import time from requests.exceptions import RequestException from datetime import datetime, timezone, timedelta # URL da API url = "https://mar-orders-bff-api.demanda-abastecimento.grupoboticario.digital/api/orderdraft/order-building-data?draftType=SEM" # Cabeçalhos da requisição headers = { "accept": "*/*", "accept-language": "pt-BR,pt;q=0.9,en-US;q=0.8,en;q=0.7", "authorization": "Basic b2NVc2VySW50ZXJuYWw6Nk5RV0BOU2M1anpEUy1oeg==", "content-type": "application/json", "origin": "https://extranet.grupoboticario.com.br", "priority": "u=1, i", "referer": "https://extranet.grupoboticario.com.br/", "sec-ch-ua": '"Not)A;Brand";v="99", "Google Chrome";v="127", "Chromium";v="127"', "sec-ch-ua-mobile": "?0", "sec-ch-ua-platform": '"Windows"', "sec-fetch-dest": "empty", "sec-fetch-mode": "cors", "sec-fetch-site": "cross-site", "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36" } # Lista de códigos das lojas store_codes = [ "12522", "12817", "12818", "12820", "12823", "12824", "12826", "12828", "12829", "12830", "12838", "13427", "14617", "19103", "20005", "20006", "20009", "20056", "20057", "20441", "20858", "20968", "20969", "20970", "20986", "20988", "20989", "20991", "20992", "20993", "20994", "20995", "20996", "20997", "20998", "20999", "21000", "21001", "21068", "21277", "21278", "21296", "21375", "21381", "21383", "21495", "21624", "21647", "22541", "3546", "4560", "5699", "910173", "910291", "21007", "23665", "23712", "23705", "23711", "23704", "23707", "23702", "23703", "23713", "23708", "23706", "23701", "23709","23475","23156","14668", "24253", "24254", "24255", "24258", "24257", "24268", "24269", "24293", "23813" ] # Mapeamento de códigos para nomes de categorias category_map = { "10040": "CUIDADOS COM A PELE", "10090": "HOME CARE", "10060": "DESODORANTES", "10110": "MAQUIAGEM", "10080": "GIFTS", "10120": "OLEOS", "10050": "CUIDADOS FACIAIS", "10170": "UNHAS", "10150": "SOLAR", "10190": "CUIDADOS PETS", "10160": "SUPORTE A VENDA", "10030": "CUIDADOS COM A BARBA", "10130": "PERFUMARIA", "10100": "INFANTIL", "10020": "CABELOS", "10070": "EMBALAGENS", "10140": "SABONETE CORPO", "10010": "ACESSORIOS" } # Mapeamento de códigos para nomes de subcategorias subcategory_map = { "1004020125": "CUIDADOS COM O CORPO", "1006020150": "DESODORANTE FEMININO", "1013020285": "PERFUMARIA FEMININA", "1006020155": "DESODORANTE MASCULINO", "1013020290": "PERFUMARIA MASCULINA", "1001020055": "ORGANIZADOR COSTURAVEL", "1014020315": "MULTIFUNCIONAL", "1019020430": "PETS", "1016020385": "MATERIAL DE APOIO", "1001020030": "ELETRONICOS", "1001020045": "FUNCIONAIS MAQUIAGEM", "1010020225": "PERFUMARIA", "1010020200": "CABES", "1010020205": "CUIDADOS COM O CORPO", "1010020235": "SABONETES", "1016020395": "PRM", "1009020195": "AROMATIZACAO", "1001020025": "CORPO E BANHO", "1015020335": "POS-SOL", "1015020360": "PROTETOR FACIAL", "1015020355": "PROTETOR CORPO", "1014020300": "CORPO", "1005020135": "HIDRATANTES E TRATAMENTOS", "1005020140": "LIMPEZA", "1005020145": "MASCARA FACIAL", "1001020015": "CAPINHA", "1009020140": "LIMPEZA", "1004020120": "CUIDADOS COM AS MAOS", "1001020060": "ORGANIZADOR NAO COSTURAVEL", "1002020085": "CONDICIONADOR", "1004020130": "CUIDADOS COM OS PES", "1002020090": "FINALIZADOR", "1006020160": "DESODORANTE UNISSEX", "1002020105": "TRATAMENTO CABELOS", "1012020275": "CUIDADOS COM O CORPO", "1014020305": "CUIDADOS INTIMOS", "1002020095": "SHAMPOO/PRE-SHAMPOO", "1003020110": "POS-BARBEAR", "1003020115": "PRE-BARBEAR", "1001020005": "BRINQUEDO", "1008020190": "ESTOJO REGULAR", "1011020255": "MAQUIAGEM MULTIFUNCIONAL", "1011020260": "MAQUIAGEM OLHOS", "1011020245": "MAQUIAGEM BOCA", "1001020070": "PINCEIS", "1007020170": "EMBALAGENS VENDAVEIS", "1001020035": "EMBALAGEM PRESENTEAVEL", "1011020265": "MAQUIAGEM ROSTO", "1001020040": "EMBALAGEM PRODUTO", "1011020270": "MAQUIAGEM SOBRANCELHAS", "1013020295": "PERFUMARIA UNISSEX", "1014020310": "MAOS", "1002020100": "STYLING", "1001020010": "CABES", "1002020075": "2 EM 1", "1015020365": "PROTETOR FACIAL COM COR", "1012020280": "MULTIFUNCIONAL", "1010020220": "MAQUIAGEM", "1010020210": "DESODORANTE" } # Configurações de conexão com o banco de dados conn = pyodbc.connect( 'DRIVER={ODBC Driver 18 for SQL Server};' 'SERVER=10.77.77.10;' 'DATABASE=GINSENG;' 'UID=supginseng;' 'PWD=Iphone2513@;' 'PORT=1433;' 'TrustServerCertificate=yes' ) def check_internet_connection(): """Verifica se há conexão com a internet""" try: socket.gethostbyname("google.com") return True except socket.error: return False def create_draft_temp_table(cursor): """Cria a tabela draft_temp se ela não existir""" try: # Verifica se a tabela já existe cursor.execute(""" IF NOT EXISTS (SELECT * FROM sys.tables WHERE name = 'draft_temp' AND schema_id = SCHEMA_ID('dbo')) BEGIN CREATE TABLE dbo.draft_temp ( id INT IDENTITY(1,1) PRIMARY KEY, date DATE DEFAULT CAST(GETDATE() AS DATE), loja_id VARCHAR(50), code VARCHAR(50), description VARCHAR(255), launch VARCHAR(50), deactivation VARCHAR(50), thirdToLastCycleSales INT, secondToLastCycleSales INT, lastCycleSales INT, currentCycleSales INT, nextCycleProjection INT, secondToNextCycleProjection INT, stock_actual INT, stock_inTransit INT, purchaseSuggestion INT, smartPurchase_purchaseSuggestionCycle INT, smartPurchase_nextCyclePurchaseSuggestion INT, pendingOrder INT, salesCurve VARCHAR(50), promotions_description NVARCHAR(MAX), promotions_discountPercent NVARCHAR(MAX), priceSellin DECIMAL(18, 2), businessUnit VARCHAR(50), codCategory VARCHAR(255), criticalItem_dtProvidedRegularization VARCHAR(50), criticalItem_blockedWallet NVARCHAR(MAX), criticalItem_isCritical NVARCHAR(MAX), codSubCategory VARCHAR(255), isProductDeactivated NVARCHAR(MAX), brandGroupCode VARCHAR(50), daysWithoutSales INT, coverageDays INT, hasCoverage VARCHAR(50) ) END """) conn.commit() print("Tabela draft_temp verificada/criada com sucesso.") except Exception as e: print(f"Erro ao criar tabela draft_temp: {e}") conn.rollback() raise def process_and_insert_data(store_code, response_data, cursor): """Processa os dados da API e insere na tabela draft_temp""" try: # Limpar dados da loja no banco antes de inserir novos dados delete_sql = "DELETE FROM draft_temp WHERE loja_id = ?" cursor.execute(delete_sql, (store_code,)) products = response_data.get('data', {}).get('products', []) current_cycle = response_data.get('data', {}).get('currentCycle', '') registros = [] for product in products: promotions = product.get('promotions', []) filtered_promotions = [promo for promo in promotions if promo.get('cycle') == current_cycle] if filtered_promotions: promotion_description = " | ".join(promo.get('description', '') for promo in filtered_promotions) promotion_discount = " | ".join(str(promo.get('discountPercent', '')) for promo in filtered_promotions) else: promotion_description = '' promotion_discount = '' # Busca o nome da categoria no dicionário cod_category = product.get('codCategory', '') category_name = category_map.get(str(cod_category), '') # Busca o nome da subcategoria no dicionário cod_subcategory = product.get('codSubCategory', '') subcategory_name = subcategory_map.get(str(cod_subcategory), '') # Corrigir o campo criticalItem_dtProvidedRegularization dt_provided_regularization = product.get('criticalItem', {}).get('dtProvidedRegularization', '') if isinstance(dt_provided_regularization, list): if not dt_provided_regularization or dt_provided_regularization[0] is None: dt_provided_regularization = '' elif dt_provided_regularization is None: dt_provided_regularization = '' # Corrigindo o campo daysWithoutSales e coverageDays days_without_sales = product.get('daysWithoutSales', 0) coverage_days = product.get('coverageDays', 0) if days_without_sales is None: days_without_sales = 0 if coverage_days is None: coverage_days = 0 registro = ( store_code, product.get('code'), product.get('description'), product.get('launch'), product.get('deactivation'), product.get('sales', {}).get('thirdToLastCycleSales', 0), product.get('sales', {}).get('secondToLastCycleSales', 0), product.get('sales', {}).get('lastCycleSales', 0), product.get('sales', {}).get('currentCycleSales', 0), product.get('sales', {}).get('nextCycleProjection', 0), product.get('sales', {}).get('secondToNextCycleProjection', 0), product.get('stock', {}).get('actual', 0), product.get('stock', {}).get('inTransit', 0), product.get('purchaseSuggestion', 0), product.get('smartPurchase', {}).get('purchaseSuggestionCycle', 0), product.get('smartPurchase', {}).get('nextCyclePurchaseSuggestion', 0), product.get('pendingOrder', 0), product.get('salesCurve', ''), promotion_description, promotion_discount, product.get('priceSellin', 0.0), product.get('businessUnit', ''), category_name, dt_provided_regularization, product.get('criticalItem', {}).get('blockedWallet', False), product.get('criticalItem', {}).get('isCritical', False), subcategory_name, product.get('isProductDeactivated', False), product.get('brandGroupCode', ''), days_without_sales, coverage_days, product.get('hasCoverage', False) ) registros.append(registro) if registros: sql = """ INSERT INTO draft_temp ( loja_id, code, description, launch, deactivation, thirdToLastCycleSales, secondToLastCycleSales, lastCycleSales, currentCycleSales, nextCycleProjection, secondToNextCycleProjection, stock_actual, stock_inTransit, purchaseSuggestion, smartPurchase_purchaseSuggestionCycle, smartPurchase_nextCyclePurchaseSuggestion, pendingOrder, salesCurve, promotions_description, promotions_discountPercent, priceSellin, businessUnit, codCategory, criticalItem_dtProvidedRegularization, criticalItem_blockedWallet, criticalItem_isCritical, codSubCategory, isProductDeactivated, brandGroupCode, daysWithoutSales, coverageDays, hasCoverage ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?) """ cursor.executemany(sql, registros) conn.commit() return len(registros) return 0 except Exception as e: print(f"Erro ao processar dados da loja {store_code}: {e}") conn.rollback() raise def fetch_and_insert_data(store_code, index, total, cursor, retry_count=1): """Baixa os dados da API e insere diretamente no banco""" attempt = 0 while attempt < retry_count: try: # Definindo storeType com base no código da loja if store_code == "21007": store_type = "TQT" elif store_code in ["910173", "910291"]: store_type = "QDB" else: store_type = "BOT" # Dados da requisição com o código da loja data = { "storeCode": store_code, "useId": 163165, "storeType": store_type, "generateNew": False } # Fazendo a requisição POST response = requests.post(url, headers=headers, json=data) response.raise_for_status() # Requisição bem-sucedida response_data = response.json() # Processa e insere os dados diretamente no banco num_products = process_and_insert_data(store_code, response_data, cursor) print(f"{index}/{total}: Loja {store_code} processada com sucesso ({num_products} produtos inseridos).") return True except RequestException as e: print(f"{index}/{total}: Erro na requisição para a loja {store_code}: {e}") except Exception as e: print(f"{index}/{total}: Erro inesperado para a loja {store_code}: {e}") attempt += 1 print(f"{index}/{total}: Tentativa {attempt} de {retry_count} para a loja {store_code}.") time.sleep(5) print(f"{index}/{total}: Falha ao processar a loja {store_code} após {retry_count} tentativas.") return False def finalize_tables(cursor): """ Finaliza o processo: 1. Atualiza dbo.draft_historico com os dados da dbo.draft_temp 2. Exclui a tabela dbo.draft_temp """ try: print("\n=== Iniciando finalização das tabelas ===") # Passo 1: Atualizar draft_historico print("Passo 1: Atualizando dbo.draft_historico...") # Obter a data de hoje today = datetime.now().strftime("%Y-%m-%d") print(f"Data de hoje: {today}") # Verificar se já existem dados para hoje cursor.execute("SELECT COUNT(*) FROM dbo.draft_historico WHERE CAST(data AS DATE) = ?", (today,)) count = cursor.fetchone()[0] if count > 0: print(f"Encontrados {count} registros para a data {today}. Excluindo...") cursor.execute("DELETE FROM dbo.draft_historico WHERE CAST(data AS DATE) = ?", (today,)) conn.commit() print(f"Registros da data {today} excluídos com sucesso.") else: print(f"Nenhum registro encontrado para a data {today}.") # Inserir dados da tabela draft_temp na draft_historico print("Inserindo dados da dbo.draft_temp na dbo.draft_historico...") cursor.execute(""" INSERT INTO dbo.draft_historico ( loja_id, code, description, launch, deactivation, thirdtolastcyclesales, secondtolastcyclesales, lastcyclesales, currentcyclesales, nextcycleprojection, secondtonextcycleprojection, stock_actual, stock_intransit, purchasesuggestion, smartpurchase_purchasesuggestioncycle, smartpurchase_nextcyclepurchasesuggestion, pendingorder, salescurve, promotions_description, promotions_discountpercent, pricesellin, businessunit, codcategory, criticalitem_dtprovidedregularization, criticalitem_blockedwallet, criticalitem_iscritical, codsubcategory, isproductdeactivated, brandgroupcode, dayswithoutsales, coveragedays, hascoverage, data ) SELECT loja_id, code, description, launch, deactivation, thirdToLastCycleSales, secondToLastCycleSales, lastCycleSales, currentCycleSales, nextCycleProjection, secondToNextCycleProjection, stock_actual, stock_inTransit, purchaseSuggestion, smartPurchase_purchaseSuggestionCycle, smartPurchase_nextCyclePurchaseSuggestion, pendingOrder, salesCurve, promotions_description, promotions_discountPercent, priceSellin, businessUnit, codCategory, criticalItem_dtProvidedRegularization, criticalItem_blockedWallet, criticalItem_isCritical, codSubCategory, isProductDeactivated, brandGroupCode, daysWithoutSales, coverageDays, hasCoverage, date FROM dbo.draft_temp """) conn.commit() # Verificar quantos registros foram inseridos cursor.execute("SELECT @@ROWCOUNT") inserted_count = cursor.fetchone()[0] print(f"{inserted_count} registros inseridos na dbo.draft_historico com sucesso.") # Passo 2: Excluir a tabela draft_temp print("Passo 2: Excluindo tabela dbo.draft_temp...") cursor.execute(""" IF EXISTS (SELECT * FROM sys.tables WHERE name = 'draft_temp' AND schema_id = SCHEMA_ID('dbo')) BEGIN DROP TABLE dbo.draft_temp END """) conn.commit() print("Tabela dbo.draft_temp excluída com sucesso.") print("=== Finalização das tabelas concluída com sucesso ===\n") return True except Exception as e: print(f"Erro ao finalizar tabelas: {e}") conn.rollback() return False def update_api_status(status): """Atualiza o status da API""" try: url_status = "https://api.grupoginseng.com.br/api/status/1" # Definir fuso horário de São Paulo (UTC-3) sao_paulo_offset = timedelta(hours=-3) # Gerar data/hora atual no formato YYYY-MM-DD HH:MM:SS com UTC-3 current_datetime = datetime.now(timezone(sao_paulo_offset)).strftime("%Y-%m-%d %H:%M:%S") # Montar o payload payload = { "STATUS": status, "DATA": current_datetime } # Cabeçalhos headers_status = { "Content-Type": "application/json" } # Enviar PUT request response = requests.put(url_status, json=payload, headers=headers_status) print("Hora enviada:", current_datetime) print("Status Code:", response.status_code) print("Response Body:", response.text) except Exception as e: print(f"Erro ao atualizar status da API: {e}") def main(): """Função principal""" if not check_internet_connection(): print("Sem conexão com a internet. Verifique sua conexão e tente novamente.") update_api_status("FAIL") return cursor = conn.cursor() try: # Criar a tabela draft_temp se não existir create_draft_temp_table(cursor) failed_stores = [] total = len(store_codes) # Processa todas as lojas for index, store_code in enumerate(store_codes, start=1): success = fetch_and_insert_data(store_code, index, total, cursor) if not success: failed_stores.append(store_code) # Tenta novamente as lojas que falharam if failed_stores: print("\nTentando novamente as lojas que falharam.") retry_count = 1 for attempt in range(1, retry_count + 1): retry_failed_stores = [] for store_code in failed_stores: index = store_codes.index(store_code) + 1 success = fetch_and_insert_data(store_code, index, total, cursor) if not success: retry_failed_stores.append(store_code) failed_stores = retry_failed_stores if not failed_stores: print("\nTodos os arquivos foram processados com sucesso.") # Finalizar tabelas antes de atualizar status if finalize_tables(cursor): update_api_status("OK") else: update_api_status("FAIL") break if failed_stores: print(f"Tentativa {attempt} de {retry_count} para as lojas que falharam.") time.sleep(10) # Se ainda houver lojas com falha após todas as tentativas if failed_stores: print(f"\nNão foi possível processar algumas lojas: {failed_stores}") update_api_status("FAIL") else: print("\nTodos os arquivos foram processados com sucesso.") # Finalizar tabelas antes de atualizar status if finalize_tables(cursor): update_api_status("OK") else: update_api_status("FAIL") except Exception as e: print(f"Erro durante a execução: {e}") update_api_status("FAIL") finally: cursor.close() conn.close() print("\nProcesso finalizado.") if __name__ == "__main__": main()