10:44:21 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:39', '', '0', '0', '', '0');
10:44:21 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '', Agregado1 = '' WHERE Id = '123';
10:46:42 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:42', '', '0', '0', '', '0');
10:46:42 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '', Agregado1 = '' WHERE Id = '123';
10:49:15 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:44', '', '0', '0', '', '0');
10:49:15 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
10:49:15 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>ABOBORA CABOTIA</agregado><agregado1>ABOBORA CABOTIA</agregado1></dados>', 'ABOBORA CABOTIA', 'ABOBORA CABOTIA');
10:50:08 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:45', '', '0', '0', '', '0');
10:50:08 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
10:50:08 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>ABOBORA CABOTIA</agregado><agregado1>ABOBORA CABOTIA</agregado1></dados>', 'ABOBORA CABOTIA', 'ABOBORA CABOTIA');
10:56:06 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:45', '', '0', '0', '', '0');
10:56:06 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
10:56:06 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>ABOBORA CABOTIA</agregado><agregado1>ABOBORA CABOTIA</agregado1></dados>', 'ABOBORA CABOTIA', 'ABOBORA CABOTIA');
10:56:38 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:51', '', '0', '0', '', '0');
10:56:38 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
10:56:38 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>ABOBORA CABOTIA</agregado><agregado1>ABOBORA CABOTIA</agregado1></dados>', 'ABOBORA CABOTIA', 'ABOBORA CABOTIA');
10:59:12 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:54', '', '0', '0', '', '0');
10:59:12 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado></agregado><agregado1></agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
10:59:12 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>ABOBORA CABOTIA</agregado><agregado1>ABOBORA CABOTIA</agregado1></dados>', 'ABOBORA CABOTIA', 'ABOBORA CABOTIA');
11:00:11 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 09:55', '', '0', '0', '', '0');
11:00:11 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado>0</agregado><agregado1>0</agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
11:00:11 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>ABOBORA CABOTIA</agregado><agregado1>ABOBORA CABOTIA</agregado1></dados>', 'ABOBORA CABOTIA', 'ABOBORA CABOTIA');
11:06:01 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000073', 'TESTE INCLUSAO', 'TESTE', '24729727096', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 10:01', '', '0', '0', '', '0');
11:06:01 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado>0</agregado><agregado1>0</agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '123';
11:06:01 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('141', '2026-03-03 09:38:00', '2026-03-03 10:38:00', '1', '0', 'BA', 'A', 'TESTEwwwww', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>TESTE</obs><agregado>0</agregado><agregado1>0</agregado1></dados>', '0', '0');
11:10:58 - UPDATE agenda SET DataHoraInicio = '2026-02-27 13:00:00', DataHoraFinal = '2026-02-27 14:00:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'EVELYN - PAULA EDUARDA BUENO DE JESUS - REPELEX LOCAO', Dados = '<dados><tipo>BA</tipo><cliente>0</cliente><cnome>TESTE INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>REPELEX LOCAO</descricao><obs>TESTE</obs><agregado>ABACAXI UN.</agregado><agregado1>0</agregado1></dados>', Agregado = '25658', Agregado1 = '0' WHERE Id = '123';
11:10:58 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('142', '2026-03-03 09:05:00', '2026-03-03 10:05:00', '1', '0', 'BA', 'A', 'TESTE', '<dados><tipo>BA</tipo><cliente>1000048</cliente><cnome>NOVO TESTE</cnome><func>1</func><fnome>EVELYN</fnome><produto>25686</produto><descricao>ABOBORA CABOTIA</descricao><agregado>0</agregado><agregado1>0</agregado1></dados>', '0', '0');
11:21:02 - UPDATE os SET ValorPecas = 18.60, ValorOutros = 132.00 WHERE Controle = 9000046;
11:21:03 - UPDATE os_equips SET Acessorios = '', KmEntrada = '0.0', KmSaida = '0.0', Placa = '', NoSerie = '', Modelo = '', Ano = '', Cor = '', Problemas = '' WHERE OS = 9000046;
11:21:03 - INSERT IGNORE INTO os_equips (Id, OS, Equipamento, Acessorios, KmEntrada, KmSaida, Descricao, Localizacao, Placa, NoSerie, Modelo, Ano, Cor, Problemas, UID) VALUES (0, 9000046, 0, '', 0.0, 0.0, '', '', '', '', '', '', '', '', 'null');
11:21:03 - DELETE FROM ositens WHERE Controle = 9000046;
11:21:03 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (140, 9000046, 29730, 2.000, 9.30, 18.60, 'P', 6, 'COCA 2LT S/ ACUCAR', 9.300, 0, 0, 0, 'null');
11:21:03 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (142, 9000046, 33852, 1.000, 10.00, 10.00, 'S', 6, 'UM SERVICO QUQER', 10.000, 0, 0, 0, 'null');
11:21:03 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (0, 9000046, 32621, 2.000, 1.00, 2.00, 'S', 6, '', 1.000, 0, 0, 0, 'null');
11:21:03 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (0, 9000046, 370, 1.000, 120.00, 120.00, 'S', 6, 'um dois três quatro cinco seis', 120.000, 0, 0, 0, 'null');
11:23:28 - UPDATE os SET ValorPecas = 18.60, ValorOutros = 130.00 WHERE Controle = 9000046;
11:23:28 - UPDATE os_equips SET Acessorios = '', KmEntrada = '0.0', KmSaida = '0.0', Placa = '', NoSerie = '', Modelo = '', Ano = '', Cor = '', Problemas = '' WHERE OS = 9000046;
11:23:28 - INSERT IGNORE INTO os_equips (Id, OS, Equipamento, Acessorios, KmEntrada, KmSaida, Descricao, Localizacao, Placa, NoSerie, Modelo, Ano, Cor, Problemas, UID) VALUES (0, 9000046, 0, '', 0.0, 0.0, '', '', '', '', '', '', '', '', 'null');
11:23:28 - DELETE FROM ositens WHERE Controle = 9000046;
11:23:28 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (140, 9000046, 29730, 2.000, 9.30, 18.60, 'P', 6, 'COCA 2LT S/ ACUCAR', 9.300, 0, 0, 0, 'null');
11:23:28 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (142, 9000046, 33852, 1.000, 10.00, 10.00, 'S', 6, 'UM SERVICO QUQER', 10.000, 0, 0, 0, 'null');
11:23:28 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (0, 9000046, 370, 1.000, 120.00, 120.00, 'S', 6, 'um dois três quatro cinco seis', 120.000, 0, 0, 0, 'null');
11:39:00 - UPDATE os SET ValorPecas = 18.60, ValorOutros = 130.00 WHERE Controle = 9000046;
11:39:00 - UPDATE os_equips SET Acessorios = '', KmEntrada = '0.0', KmSaida = '0.0', Placa = '', NoSerie = '', Modelo = '', Ano = '', Cor = '', Problemas = '' WHERE OS = 9000046;
11:39:00 - INSERT IGNORE INTO os_equips (Id, OS, Equipamento, Acessorios, KmEntrada, KmSaida, Descricao, Localizacao, Placa, NoSerie, Modelo, Ano, Cor, Problemas, UID) VALUES (0, 9000046, 0, '', 0.0, 0.0, '', '', '', '', '', '', '', '', 'null');
11:39:00 - DELETE FROM ositens WHERE Controle = 9000046;
11:39:00 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (140, 9000046, 29730, 2.000, 9.30, 18.60, 'P', 6, 'COCA 2LT S/ ACUCAR', 9.300, 0, 0, 0, 'null');
11:39:00 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (142, 9000046, 33852, 1.000, 10.00, 10.00, 'S', 6, 'UM SERVICO QUQER', 10.000, 0, 0, 0, 'null');
11:39:00 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (0, 9000046, 370, 1.000, 120.00, 120.00, 'S', 6, 'um dois três quatro cinco seis sete oito nove dez onze', 120.000, 0, 0, 0, 'null');
11:47:18 - UPDATE os SET ValorPecas = 18.60, ValorOutros = 130.00 WHERE Controle = 9000046;
11:47:18 - UPDATE os_equips SET Acessorios = '', KmEntrada = '0.0', KmSaida = '0.0', Placa = '', NoSerie = '', Modelo = '', Ano = '', Cor = '', Problemas = '' WHERE OS = 9000046;
11:47:18 - INSERT IGNORE INTO os_equips (Id, OS, Equipamento, Acessorios, KmEntrada, KmSaida, Descricao, Localizacao, Placa, NoSerie, Modelo, Ano, Cor, Problemas, UID) VALUES (0, 9000046, 0, '', 0.0, 0.0, '', '', '', '', '', '', '', '', 'null');
11:47:18 - DELETE FROM ositens WHERE Controle = 9000046;
11:47:18 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (140, 9000046, 29730, 2.000, 9.30, 18.60, 'P', 6, 'COCA 2LT S/ ACUCAR', 9.300, 0, 0, 0, 'null');
11:47:18 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (142, 9000046, 33852, 1.000, 10.00, 10.00, 'S', 6, 'UM SERVICO QUQER', 10.000, 0, 0, 0, 'null');
11:47:18 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (0, 9000046, 370, 1.000, 120.00, 120.00, 'S', 6, 'um dois três quatro cinco seis sete oito nove dez onze doze treze', 120.000, 0, 0, 0, 'null');
11:53:41 - UPDATE os SET ValorPecas = 18.60, ValorOutros = 130.00 WHERE Controle = 9000046;
11:53:41 - UPDATE os_equips SET Acessorios = '', KmEntrada = '0.0', KmSaida = '0.0', Placa = '', NoSerie = '', Modelo = '', Ano = '', Cor = '', Problemas = '' WHERE OS = 9000046;
11:53:42 - INSERT IGNORE INTO os_equips (Id, OS, Equipamento, Acessorios, KmEntrada, KmSaida, Descricao, Localizacao, Placa, NoSerie, Modelo, Ano, Cor, Problemas, UID) VALUES (0, 9000046, 0, '', 0.0, 0.0, '', '', '', '', '', '', '', '', 'null');
11:53:42 - DELETE FROM ositens WHERE Controle = 9000046;
11:53:42 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (140, 9000046, 29730, 2.000, 9.30, 18.60, 'P', 6, 'COCA 2LT S/ ACUCAR', 9.300, 0, 0, 0, 'null');
11:53:42 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (142, 9000046, 33852, 1.000, 10.00, 10.00, 'S', 6, 'UM SERVICO QUQER', 10.000, 0, 0, 0, 'null');
11:53:42 - INSERT INTO ositens (Id, Controle, Produto, Qtde, Unitario, Total, Tipo, Vendedor, Descricao, VUOriginal, Faturado, Acrescimo, Desconto, UID) VALUES (0, 9000046, 370, 1.000, 120.00, 120.00, 'S', 6, 'um dois três quatro cinco seis sete oito nove dez onze doze treze hhhhh', 120.000, 0, 0, 0, 'null');
12:05:28 - UPDATE agenda SET DataHoraInicio = '2026-03-03 09:05:00', DataHoraFinal = '2026-03-03 10:05:00', Dono = '1', Operacao = '0', Modo = 'BA', Situacao = 'A', Anotacoes = 'TESTE', Dados = '<dados><tipo>BA</tipo><cliente>660</cliente><cnome>ADELAIDE ISABELA TIEGS</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>ABOBORA CABOTIA</descricao><agregado>0</agregado><agregado1>0</agregado1></dados>', Agregado = '0', Agregado1 = '0' WHERE Id = '142';
12:10:03 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('143', '2026-03-03 13:30:00', '2026-03-03 14:30:00', '1', '0', 'BA', 'A', 'ajahsbaush', '<dados><tipo>BA</tipo><cliente>1418</cliente><cnome>1° IGREJA E. PENTECOSTAL O BRASIL PARA CRISTO</cnome><func>1</func><fnome>EVELYN</fnome><produto>355</produto><descricao>ABOBORA MENINA</descricao><obs>vai fazer botox</obs><agregado>ABACAXI UN.</agregado><agregado1>0</agregado1></dados>', '25658', '0');
13:02:12 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000074', 'TESTE INCLUSAO NOVO CLIENTE', 'TESTE TESTE', '31636100058', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', '200', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 11:57', '', '0', '0', '', '0');
13:02:12 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('144', '2026-03-03 12:34:00', '2026-03-03 13:34:00', '1', '0', 'BA', 'A', 'TESTE', '<dados><tipo>BA</tipo><cliente>1418</cliente><cnome>1° IGREJA E. PENTECOSTAL O BRASIL PARA CRISTO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><agregado>0</agregado><agregado1>0</agregado1></dados>', '0', '0');
15:15:44 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000075', 'INCLUSAO NOVO REGISTRO', 'INCLUSAO NOVO REGISTGRGO', '57635711008', '', '67999944230', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', '231', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 14:11', '', '0', '0', '', '0');
15:15:44 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('145', '2026-03-03 14:10:00', '2026-03-03 15:10:00', '1', '0', 'BA', 'A', 'TESTE', '<dados><tipo>BA</tipo><cliente>99000001</cliente><cnome>INCLUSAO NOVO REGISTRO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25686</produto><descricao>ABOBORA CABOTIA</descricao><obs>TESTE</obs><agregado>0</agregado><agregado1>0</agregado1></dados>', '0', '0');
15:26:26 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000076', 'TESTE 2 INCLUSAO', 'asdasd', '79440271019', '', '623457823465', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asdasd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 14:21', '', '0', '0', '', '0');
15:26:26 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('146', '2026-03-03 14:14:00', '2026-03-03 15:14:00', '1', '0', 'BA', 'A', 'asdasd', 'org.apache.harmony.xml.dom.DocumentImpl@744b2c7', '0', '0');
15:47:36 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000077', 'TESTE 3 INCLUSAO', 'asdasd', '76574706076', '', '67236148', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asdasda', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 14:39', '', '0', '0', '', '0');
15:47:36 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('136', '2026-03-03 14:26:00', '2026-03-03 15:26:00', '1', '0', 'BA', 'A', 'TESTE', '<dados><dados><tipo>BA</tipo><cliente>1000077</cliente><cnome>TESTE 3 INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25686</produto><descricao>ABOBORA CABOTIA</descricao><obs>TESTE</obs><agregado>0</agregado><agregado1>0</agregado1></dados></dados>', '0', '0');
15:57:13 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000078', 'TESTE 4 INCLUSAO', 'asdasdas', '50686159004', '', '3456879', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', '1234', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 14:51', '', '0', '0', '', '0');
15:57:13 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('137', '2026-03-03 14:50:00', '2026-03-03 15:50:00', '1', '0', 'BA', 'A', 'asdasd', '<tipo>BA</tipo><cliente>1000078</cliente><cnome>TESTE 4 INCLUSAO</cnome><func>1</func><fnome>EVELYN</fnome><produto>25658</produto><descricao>ABACAXI UN.</descricao><obs>asdasd</obs><agregado>0</agregado><agregado1>0</agregado1>', '0', '0');
16:12:26 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000079', 'teste 6 inclusao', 'ucufucu', '22590676034', '', '585858585', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'cjcuv', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 15:07', '', '0', '0', '', '0');
16:12:26 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('148', '2026-03-03 15:05:00', '2026-03-03 16:05:00', '1', '0', 'BA', 'A', 'vivivucu', '<tipo>BA</tipo><cliente>1000079</cliente><cnome>teste 5 inclusao</cnome><func>1</func><fnome>EVELYN</fnome><produto>25686</produto><descricao>ABOBORA CABOTIA</descricao><obs>xjjcjcjc</obs><agregado>0</agregado><agregado1>0</agregado1>', '0', '0'),('149', '2026-03-03 15:05:00', '2026-03-03 16:05:00', '1', '0', 'BA', 'A', 'vivivucu', '<tipo>BA</tipo><cliente>1000079</cliente><cnome>teste 6 inclusao</cnome><func>1</func><fnome>EVELYN</fnome><produto>31617</produto><descricao>ABOVE URBAN</descricao><obs>xjjcjcjc</obs><agregado>ABS ALWAYS</agregado><agregado1>ABOBORA CABOTIA</agregado1>', '26039', '25686'),('150', '2026-03-04 15:05:00', '2026-03-04 16:05:00', '1', '0', 'BA', 'A', 'vivivucu', '<tipo>BA</tipo><cliente>0</cliente><cnome>teste 6 inclusao</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>ABOVE URBAN</descricao><obs>xjjcjcjc</obs><agregado>ABS ALWAYS</agregado><agregado1>ABOBORA CABOTIA</agregado1>', '0', '0');
16:30:26 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000080', 'tezste7 inclusao', 'asdasd', '01908230037', '', '345345', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asd', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 15:25', '', '0', '0', '', '0');
16:30:26 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('151', '2026-03-05 15:23:00', '2026-03-05 16:23:00', '1', '0', 'BA', 'A', 'asdasdasdasd', '<tipo>BA</tipo><cliente>0</cliente><cnome>tezste7 inclusao</cnome><func>1</func><fnome>EVELYN</fnome><produto>0</produto><descricao>ABOBORA CABOTIAN</descricao><obs>asdasdasdasd</obs><agregado>ABACAXI UN.</agregado><agregado1>ABACAXI UN.</agregado1>', '0', '0');
16:37:40 - INSERT INTO clientes (Cliente, Nome, Fantasia, CPFCNPJ, RGIEST, Telefone1, Telefone2, CEP, Endereco, Numero, Complemento, Bairro, Cidade, UF, CodUF, EMail, TipoPreco, Tipo, DDD, Telefone3, Limite, Suspenso, Notas, SemImp, CodCidade, Tabela, Rota, DataCadastro, Obs, Forn, TaxaEntrega, IMunicipal, ISSRetido) VALUES ('1000081', 'teste9', 'asdasd', '65019667013', '', '234534534', '', '79840303', 'RUA BELMIRO BARROSO DA SILVA', 'asda', '', 'CONJUNTO HABITACIONAL IZIDRO P', 'DOURADOS', 'MS', '5003702', '', 'A', 'F', '0', '', '0', '0', '', '0', '0', '0', '0', '2026-03-03 15:33', '', '0', '0', '', '0');
16:37:40 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('152', '2026-03-06 15:31:00', '2026-03-06 16:31:00', '1', '0', 'BA', 'A', 'asdasdasd', '<tipo>BA</tipo><cliente>1000081</cliente><cnome>teste9</cnome><func>1</func><fnome>EVELYN</fnome><produto>25686</produto><descricao>ABOBORA CABOTIA</descricao><obs>asdasdas teste</obs><agregado>0</agregado><agregado1>0</agregado1>', '0', '0');
17:37:45 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('153', '2026-03-03 16:32:00', '2026-03-03 17:02:00', '1', '0', 'PA', 'A', 'Teste', '<tipo>PA</tipo><cliente>3110</cliente><cnome>PAULO AGUIAR</cnome><pet>34</pet><pnome>MISHA</pnome><func>1</func><fnome>EVELYN</fnome><produto>32538</produto><descricao> SABAO ALPES COCO</descricao><agregado>0</agregado><agregado1>0</agregado1>', '0', '0');
17:41:46 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('154', '2026-03-06 16:35:00', '2026-03-06 17:05:00', '1', '0', 'PA', 'A', 'TESTE', '<tipo>PA</tipo><cliente>3059</cliente><cnome>ADÃO ROBERTO BALICO</cnome><pet>39</pet><pnome>BIXIGA</pnome><func>1</func><fnome>EVELYN</fnome><produto>32538</produto><descricao> SABAO ALPES COCO</descricao><agregado> SABAO ALPES COCO</agregado><agregado1> SHAMPOO SEDA CERAMIDAS</agregado1>', '0', '0');
17:43:28 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('155', '2026-03-03 16:38:00', '2026-03-03 17:08:00', '1', '0', 'PA', 'A', 'TESTE', '<tipo>PA</tipo><cliente>3110</cliente><cnome>PAULO AGUIAR</cnome><pet>38</pet><pnome>BOB</pnome><func>1</func><fnome>EVELYN</fnome><produto>32538</produto><descricao> SABAO ALPES COCO</descricao><agregado> SABAO ALPES COCO</agregado><agregado1> SABAO ALPES COCO</agregado1>', '32538', '32538');
17:51:15 - INSERT INTO agenda (Id, DataHoraInicio, DataHoraFinal, Dono, Operacao, Modo, Situacao, Anotacoes, Dados, Agregado, Agregado1) VALUES ('136', '2026-03-05 16:45:00', '2026-03-05 17:15:00', '1', '0', 'PA', 'A', 'TESTE', '<tipo>PA</tipo><cliente>3059</cliente><cnome>ADÃO ROBERTO BALICO</cnome><pet>39</pet><pnome>BIXIGA</pnome><func>1</func><fnome>EVELYN</fnome><produto>29757</produto><descricao> SHAMPOO SEDA CERAMIDAS</descricao><agregado> SHAMPOO SEDA CERAMIDAS</agregado><agregado1> SORVETE 1 LT PRESTIGIO</agregado1>', '29757', '29985');
18:01:27 - INSERT INTO os_assinatura (OS, Assinatura, DataHora) VALUES (9000046, 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'2026-03-03 16:56:51');