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Manipulação de banco de dados com a biblioteca ORM Sqlalchemy

Chatbots com Whatsapp e Cielo integrados – Nesse curso, eu vou te mostrar como o consumidor poder realizar um pagamento por dentro do aplicativo do WhatsApp, aonde o seu cliente vai entrar numa conversa como entraria numa conversa com qualquer pessoa ou com a sua empresa, navegar entre os produtos/serviços em menus simples enviados pelo chatbot, adicionar esses produtos/serviços no carrinho de compras, e num determinado ponto do chat, um link exclusivo é enviado para o cliente preencher os dados do cartão de crédito. No final, a análise é devolvida para o Whatsapp no qual a conversa foi iniciada. Inscreva-se.

Fala pessoal blz? No post de hoje vamos trocar uma ideia sobre a biblioteca ORM SQLALCHEMY utilizada com python para manipulação de bancos de dados. E aí, bora aprender algo novo?

INTRODUÇÃO AO FRAMEWORK SQL ALCHEMY

SQL ALCHEMY é um framework do tipo Mapeamento objeto-relacional ou simplesmente ORM. Isso significa que por meio da linguagem python e orientação a objetos é possível converter código python e entidades de dados e também realizar o gerenciamento das mesmas. A seguir, vou ilustrar como isso funciona passo a passo para te ajudar a se tornar um profissional melhor.

INSTALANDO A BIBLIOTECA DO SQL ALCHEMY NO PYTHON 3

# no seu terminal digite apenas => pip install SQLAlchemy

# o comando abaixo com ! é por eu estar executando em um notebook que estou preparando esse tutorial

#!pip install SQLAlchemy

from sqlalchemy.exc import SQLAlchemyError #USAMOS ESSE OBJETO DA BIBLIOTECA SQLACHEMY PARA RECUPERAR OS ERROS QUE PODEM OCORRER DURANTE AS INTERAÇÕES COM O BANCO DE DADOS

from sqlalchemy import inspect #USAMOS ESSE OBJETO DA BIBLIOTECA SQLACHEMY PARA VERIFICAR SE ALGUMA TABELA NOSSA QUE DESEJAMOS CRIAR JÁ POSSA EXISTIR E PODERMOS TOMAR ALGUMA DECISÃO QUANTO A ISSO

CRIANDO UMA ENGINE

O engine é como o SQLAlchemy se comunica com o banco de dados. Portanto, ao criar o mecanismo, você deve adicionar a URL do banco de dados e é basicamente isso. A seguir vou utilizar o sqlite por sem bem simples e fácil de outras pessoas conseguirem reproduzir esse tutotial, mas se você quiser basta pesquisar na internet o modo de se comunicar com o banco de dados que você utiliza seja ele Mysql, SqlServer, Oracle etc…

from sqlalchemy import create_engine

# Para utilizar o debug deve-se adicionar “echo=True“: ele permite que ao interagir com o banco você visualize todos os comandos executados pelo SQLAlchemy

database_url = ‘sqlite:///teste.db’

engine = create_engine(database_url, echo=True)

engine

Engine(sqlite:///teste.db)

Com a engine pronta você pode se conectar e manipular um banco de dados de 2 formas possíveis. A seguir eu apresento a primeira forma que permite a manipulação de uma banco de dados forma direta:

# EXEMPLO DE CONSULTA DE DATA ATUAL USANDO SQL

conn = engine.connect()

trans = conn.begin()

query = ‘SELECT DATE();’

result = conn.execute(query)

for row in result:

print(f“DATE = {row[0]}“)

trans.commit()

conn.close()

2022-10-20 00:40:41,809 INFO sqlalchemy.engine.Engine BEGIN (implicit)

2022-10-20 00:40:41,810 INFO sqlalchemy.engine.Engine SELECT DATE();

2022-10-20 00:40:41,811 INFO sqlalchemy.engine.Engine [raw sql] ()

DATE = 2022-10-20

2022-10-20 00:40:41,813 INFO sqlalchemy.engine.Engine COMMIT

LEMBRETE

Nunca se esqueça que se você abrir uma conexão, você precisa fecha-lá ao terminar de manipular os dados no banco de dados. Também é importante fechar qualquer transação que você abra após terminar de manipular os dados. A conexão permite que você converse com o banco de dados. A transação garante que o banco execute o comando que você deseja que ele realize.

conn = engine.connect() #ABRIR CONEXÃO COM O BANCO DE DADOS

trans = conn.begin() #ABRIR TRANSAÇÃO PARA MANIPULAR OS DADOS

# aqui nesse espaço você constroe suas consultas ou outro tipo de ação que desejar realizar

trans.commit() #FECHAR A TRANSAÇÃO ABERTA ANTERIORMENTE PARA MANIPULAR OS DADOS

conn.close() #FECHAR A CONEXÃO COM O BANCO DE DADOS

CRIANDO UMA FUNÇÃO QUE RETORNA SE UMA TABELA JÁ EXISTE OU NÃO

inspector = inspect(engine)

def tabela_ja_existe(nome_tabela):

print(f“VALIDANDO SE A TABELA {nome_tabela} JÁ EXISTE OU NÃO”)

if nome_tabela in inspector.get_table_names():

return True

else:

return False

CRIANDO TABELAS

Se as tabelas já existirem você irá receber um erro ao executar o bloco a baixo. Caso as tabelas ainda não existam elas serão criadas.

#AQUI TEMOS AS TABELAS QUE DESEJAMOS CRIAR
tabelas = [“funcionarios”, “departamentos”, “trabalha”]#EXIBINDO OS NOMES DE NOSSAS TABELAS QUE INFORMAMOS NA LISTA ACIMA
print(“EXIBINDO OS NOMES DE NOSSAS TABELAS QUE DESEJAMOS CRIAR:”)
print(“TABELA: “, tabelas[0])
print(“TABELA: “, tabelas[1])
print(“TABELA: “, tabelas[2])
print(“nnn“)

ddl_1 = “””
CREATE TABLE {} (
id INTEGER PRIMARY KEY,
nome TEXT,
sobrenome TEXT,
idade INT,
salario DECIMAL(10,3)
);
“””.format(tabelas[0])

ddl_2 = “””
CREATE TABLE {} (
id INTEGER PRIMARY KEY,
nome TEXT
);
“””.format(tabelas[1])

ddl_3 = “””
CREATE TABLE trabalha (
id INTEGER PRIMARY KEY,
id_funcionario INT,
id_departamento INT,
data_entrada DATE,
data_saida DATE,
FOREIGN KEY (id_funcionario) REFERENCES funcionarios (id),
FOREIGN KEY (id_departamento) REFERENCES departamentos (id)
);
“””.format(tabelas[2])

conn = engine.connect()
trans = conn.begin()

if tabela_ja_existe(tabelas[0]) == False:
try:
conn.execute(ddl_1)
except Exception as e:
print(e,“nnn“)
else:
print(f“Tabela {tabelas[0]} já existe!”)
#==============================================
if tabela_ja_existe(tabelas[1]) == False:
try:
conn.execute(ddl_2)
except Exception as e:
print(e,“nnn“)
else:
print(f“Tabela {tabelas[1]} já existe!”)
#==============================================
if tabela_ja_existe(tabelas[2]) == False:
try:
conn.execute(ddl_3)
except Exception as e:
print(e,“nnn“)
else:
print(f“Tabela {tabelas[2]} já existe!”)

trans.commit()
conn.close()

EXIBINDO OS NOMES DE NOSSAS TABELAS QUE DESEJAMOS CRIAR:
TABELA: funcionarios
TABELA: departamentos
TABELA: trabalha2022-10-20 00:40:41,901 INFO sqlalchemy.engine.Engine BEGIN (implicit)
VALIDANDO SE A TABELA funcionarios JÁ EXISTE OU NÃO
2022-10-20 00:40:41,903 INFO sqlalchemy.engine.Engine SELECT name FROM sqlite_master WHERE type=’table’ ORDER BY name
2022-10-20 00:40:41,903 INFO sqlalchemy.engine.Engine [raw sql] ()
2022-10-20 00:40:41,905 INFO sqlalchemy.engine.Engine
CREATE TABLE funcionarios (
id INTEGER PRIMARY KEY,
nome TEXT,
sobrenome TEXT,
idade INT,
salario DECIMAL(10,3)
);

2022-10-20 00:40:41,906 INFO sqlalchemy.engine.Engine [raw sql] ()
VALIDANDO SE A TABELA departamentos JÁ EXISTE OU NÃO
2022-10-20 00:40:42,022 INFO sqlalchemy.engine.Engine
CREATE TABLE departamentos (
id INTEGER PRIMARY KEY,
nome TEXT
);

2022-10-20 00:40:42,023 INFO sqlalchemy.engine.Engine [raw sql] ()
VALIDANDO SE A TABELA trabalha JÁ EXISTE OU NÃO
2022-10-20 00:40:42,078 INFO sqlalchemy.engine.Engine
CREATE TABLE trabalha (
id INTEGER PRIMARY KEY,
id_funcionario INT,
id_departamento INT,
data_entrada DATE,
data_saida DATE,
FOREIGN KEY (id_funcionario) REFERENCES funcionarios (id),
FOREIGN KEY (id_departamento) REFERENCES departamentos (id)
);

2022-10-20 00:40:42,079 INFO sqlalchemy.engine.Engine [raw sql] ()
2022-10-20 00:40:42,134 INFO sqlalchemy.engine.Engine COMMIT

INSERINDO DADOS NAS TABELAS

# PARTINDO DO PENSAMENTO DE QUE JÁ TEMOS AS TABELAS CRIADAS COM SUCESSO, AGORA DESEJAMOS INSERIR INFORMAÇÕES NAS TABELAS

conn = engine.connect()

trans = conn.begin()

try:

comando_sql = “””

INSERT INTO {} (nome, idade, salario)

VALUES (‘Hephzibah’, 38, 306.261),

(‘Paxon’, 65, 428.725),

(‘Corty’, 48, 198.27),

(‘Hedy’, 46, 440.927),

(‘Elyse’, 39, 480.426),

(‘Ira’, 21, 186.163),

(‘Mattias’, 43, 344.029),

(‘Tybalt’, 57, 363.227),

(‘Sully’, 40, 282.221),

(‘Wrennie’, 41, 122.309),

(‘Anatol’, 60, 176.018),

(‘Craggie’, 69, 201.606),

(‘Aila’, 20, 358.59),

(‘Marylin’, 40, 163.559),

(‘Moselle’, 48, 306.284),

(‘Raleigh’, 23, 430.375),

(‘Tracey’, 31, 109.874),

(‘Olenolin’, 40, 190.977),

(‘Myranda’, 49, 324.872),

(‘Filberto’, 24, 362.89),

(‘Calvin’, 37, 498.879),

(‘Ravid’, 33, 329.84),

(‘Valeria’, 61, 454.795),

(‘Walsh’, 49, 222.983),

(‘Tildy’, 26, 340.03),

(‘Ozzie’, 28, 460.795),

(‘Vassily’, 69, 461.507),

(‘Chester’, 48, 228.136),

(‘Drusy’, 65, 330.337),

(‘Joshuah’, 36, 271.316),

(‘Jessalyn’, 33, 435.451),

(‘Hastings’, 67, 105.676),

(‘Nichol’, 38, 209.852),

(‘Callie’, 19, 261.095),

(‘Efren’, 44, 149.052),

(‘Omero’, 19, 430.706),

(‘Aharon’, 65, 210.921),

(‘Thedrick’, 19, 270.674),

(‘Chiarra’, 27, 197.729),

(‘Tani’, 18, 457.511),

(‘Tanitansy’, 44, 174.833),

(‘Griswold’, 47, 477.253),

(‘Sandi’, 31, 188.89),

(‘Harland’, 40, 447.03),

(‘Debora’, 67, 393.019),

(‘Randy’, 22, 281.047),

(‘Annamarie’, 29, 160.797),

(‘Ash’, 52, 131.195),

(‘Kevon’, 21, 253.041),

(‘Loria’, 68, 109.354),

(‘Inessa’, 65, 187.908),

(‘Gayle’, 66, 419.131),

(‘Cleavland’, 56, 281.807),

(‘Della’, 27, 443.801),

(‘Theo’, 31, 211.841),

(‘Emmalynn’, 23, 178.087),

(‘Lenore’, 21, 167.761),

(‘Sebastien’, 50, 212.595),

(‘Maye’, 42, 157.183),

(‘Adler’, 36, 125.511),

(‘Indira’, 35, 455.862),

(‘Griffith’, 54, 332.999),

(‘Terri’, 20, 198.459),

(‘Nevins’, 59, 478.889),

(‘Gary’, 53, 173.63),

(‘Gus’, 30, 338.104),

(‘Giuseppe’, 61, 192.944),

(‘Inna’, 19, 214.232),

(‘Amanda’, 70, 347.533),

(‘Vaughan’, 42, 339.797),

(‘Aileen’, 65, 340.789),

(‘Philippe’, 54, 218.0),

(‘Hymie’, 43, 415.404),

(‘Lindy’, 42, 339.442),

(‘Bettina’, 52, 329.928),

(‘Valdemar’, 49, 479.844),

(‘Dominique’, 68, 478.001),

(‘Jillane’, 62, 182.667),

(‘Krystyna’, 34, 390.99),

(‘Franklyn’, 18, 212.867),

(‘Haywood’, 22, 307.16),

(‘Hamnet’, 65, 160.588),

(‘Silvie’, 22, 207.014),

(‘Reider’, 46, 250.875),

(‘Faustine’, 31, 341.601),

(‘Aidan’, 60, 118.999),

(‘Mirabelle’, 37, 399.88),

(‘Gael’, 69, 210.08),

(‘Jolene’, 42, 126.617),

(‘Tabb’, 23, 125.177),

(‘Della’, 33, 138.436),

(‘Adiana’, 47, 320.703),

(‘Brant’, 26, 470.602),

(‘Jarred’, 62, 298.066),

(‘Isabeau’, 43, 213.286),

(‘Samson’, 53, 376.524),

(‘Hill’, 18, 240.595),

(‘Everett’, 56, 209.022),

(‘Den’, 40, 287.707),

(‘Conroy’, 19, 180.845),

(‘Curt’, 38, 115.125),

(‘Lacee’, 43, 446.607),

(‘Valentina’, 68, 218.617),

(‘Willabella’, 50, 266.203),

(‘Catie’, 39, 314.167),

(‘Ainslie’, 69, 482.091),

(‘Rutger’, 50, 273.965),

(‘Lyssa’, 55, 418.887),

(‘Mahala’, 62, 454.605),

(‘Lezley’, 22, 204.433),

(‘Urban’, 56, 370.748),

(‘Annice’, 63, 453.042),

(‘Spencer’, 43, 226.196),

(‘Dot’, 57, 450.624),

(‘Dawn’, 57, 392.393),

(‘Kipper’, 53, 243.837),

(‘Harland’, 63, 302.217),

(‘Kirby’, 41, 406.159),

(‘Raye’, 26, 291.721),

(‘Berget’, 45, 423.384),

(‘Hobie’, 47, 186.007),

(‘Francklin’, 59, 284.006),

(‘Smitty’, 54, 273.56),

(‘Nefen’, 42, 493.67),

(‘Theodore’, 62, 132.44),

(‘Marsiella’, 41, 110.863),

(‘Alwyn’, 48, 473.699),

(‘Alexei’, 24, 412.807),

(‘Zaria’, 37, 230.695),

(‘Doll’, 57, 269.332),

(‘Ki’, 68, 405.171),

(‘Deck’, 62, 200.996),

(‘Lisette’, 59, 181.479),

(‘Meggie’, 26, 177.731),

(‘Merline’, 55, 418.238),

(‘Siffre’, 36, 194.485),

(‘Terrell’, 18, 439.512),

(‘Hugues’, 56, 293.896),

(‘Nikki’, 34, 399.623),

(‘Valentijn’, 56, 218.529),

(‘Margarette’, 24, 416.397),

(‘Ursala’, 40, 145.621),

(‘Karmen’, 53, 374.742),

(‘Rozina’, 26, 482.856),

(‘Clark’, 39, 495.927),

(‘Winnah’, 19, 179.0),

(‘Rhonda’, 43, 116.94),

(‘Drusy’, 23, 135.594),

(‘Foss’, 58, 178.494),

(‘Hermine’, 60, 367.081),

(‘Dell’, 48, 268.315),

(‘Pierson’, 20, 429.18),

(‘Katina’, 58, 317.815),

(‘Damien’, 34, 213.981),

(‘Frederique’, 63, 100.61),

(‘Dulciana’, 51, 323.949),

(‘Kanya’, 34, 349.71),

(‘Lexy’, 36, 321.608),

(‘Valry’, 26, 262.233),

(‘Doe’, 68, 284.735),

(‘Nannie’, 53, 261.205),

(‘Monty’, 39, 269.844),

(‘Gordie’, 67, 193.91),

(‘Fredrika’, 64, 214.458),

(‘Terry’, 56, 182.12),

(‘Phebe’, 19, 104.299),

(‘Cairistiona’, 55, 311.222),

(‘Hogan’, 65, 449.963),

(‘Jeniffer’, 37, 475.454),

(‘Daisie’, 20, 192.547),

(‘Nanny’, 26, 137.485),

(‘Odille’, 46, 400.349),

(‘Ave’, 34, 272.756),

(‘Jefferey’, 60, 273.254),

(‘Burr’, 40, 138.34),

(‘Odey’, 70, 201.24),

(‘Fairfax’, 42, 344.731),

(‘Tad’, 36, 297.546),

(‘Sansone’, 69, 381.81),

(‘Lilah’, 45, 367.141),

(‘Berton’, 39, 332.707),

(‘Bernardo’, 68, 149.717),

(‘Joeann’, 66, 287.338),

(‘Clarke’, 29, 129.738),

(‘Andras’, 40, 369.574),

(‘Gabriele’, 70, 151.144),

(‘Flor’, 66, 307.82),

(‘Karylin’, 40, 238.075),

(‘Marsh’, 58, 299.746),

(‘Sigismund’, 70, 243.135),

(‘Peirce’, 45, 280.845),

(‘Baillie’, 48, 495.854),

(‘Raddie’, 48, 435.531),

(‘Humfrid’, 61, 370.754),

(‘Eadmund’, 36, 310.677),

(‘Kennie’, 54, 195.917),

(‘Minnie’, 36, 350.209),

(‘Vonny’, 54, 447.48),

(‘Hildagarde’, 18, 279.594),

(‘Vivien’, 26, 437.542),

(‘Veronica’, 59, 214.691),

(‘Bert’, 24, 402.584),

(‘Silvester’, 23, 356.291),

(‘Cole’, 23, 378.213),

(‘Raphael’, 63, 337.65),

(‘Paten’, 21, 415.936),

(‘Nahum’, 51, 390.52),

(‘Elset’, 64, 402.291),

(‘Fax’, 30, 495.006),

(‘Neile’, 30, 304.415),

(‘Mariette’, 52, 368.595),

(‘Cy’, 21, 176.253),

(‘Samson’, 58, 416.701),

(‘Hollyanne’, 68, 341.654),

(‘Trina’, 53, 103.217),

(‘Dylan’, 54, 360.017),

(‘Barrie’, 20, 310.089),

(‘Meggy’, 54, 144.638),

(‘Alla’, 39, 451.404),

(‘Gram’, 70, 204.231),

(‘Zia’, 40, 429.518),

(‘Audy’, 37, 428.554),

(‘Vivyanne’, 22, 119.592),

(‘Freddi’, 23, 461.84),

(‘Lucinda’, 45, 487.863),

(‘Tabor’, 60, 211.419),

(‘Dale’, 44, 250.133),

(‘Em’, 20, 106.474),

(‘Ruthe’, 52, 479.67),

(‘Marlowe’, 63, 165.062),

(‘Nolly’, 45, 331.065),

(‘Sinclare’, 44, 455.868),

(‘Sharity’, 46, 335.093),

(‘Gabbi’, 36, 285.275),

(‘Ransell’, 45, 348.328),

(‘Elke’, 34, 499.65),

(‘Riki’, 52, 485.701),

(‘Dagmar’, 33, 496.402),

(‘Jimmie’, 27, 103.936),

(‘Haze’, 31, 422.859),

(‘Karoly’, 59, 104.004),

(‘Libby’, 38, 288.982),

(‘Garvey’, 70, 143.045),

(‘Aguste’, 47, 116.48),

(‘Holden’, 23, 211.504),

(‘Ase’, 21, 467.578),

(‘Ruprecht’, 18, 185.174),

(‘Zorine’, 24, 484.04),

(‘Celia’, 59, 188.485),

(‘Rosemaria’, 48, 468.76),

(‘Hermann’, 59, 147.332),

(‘Cherie’, 55, 378.569),

(‘Nicolas’, 20, 220.722),

(‘Dalenna’, 45, 484.842),

(‘Katrina’, 46, 314.927),

(‘Carmine’, 42, 413.981),

(‘Brana’, 59, 278.751),

(‘Dominic’, 46, 296.977),

(‘Margeaux’, 66, 322.981),

(‘Tera’, 56, 177.97),

(‘Salvador’, 70, 419.773),

(‘Angelita’, 34, 300.101),

(‘Nana’, 61, 361.234),

(‘Jena’, 28, 446.782),

(‘Cecilio’, 58, 496.735),

(‘Free’, 53, 315.526),

(‘Pancho’, 69, 491.235),

(‘Damaris’, 63, 128.535),

(‘Liuka’, 43, 301.944),

(‘Carlotta’, 67, 339.595),

(‘Geno’, 32, 224.063),

(‘Abbe’, 31, 388.741),

(‘Isak’, 65, 277.879),

(‘Charlie’, 47, 147.348),

(‘Maribeth’, 62, 182.92),

(‘Hussein’, 27, 451.214),

(‘Valene’, 63, 341.54),

(‘Josie’, 44, 392.928),

(‘Madonna’, 69, 167.313),

(‘Carolann’, 63, 156.511),

(‘Sindee’, 42, 336.273),

(‘Geoff’, 24, 460.948),

(‘Saree’, 51, 136.93),

(‘Rodrigo’, 36, 491.018),

(‘Basilio’, 20, 296.263),

(‘Arch’, 30, 134.986),

(‘Dania’, 18, 307.369),

(‘Camel’, 30, 133.254),

(‘Gilligan’, 59, 194.957),

(‘Shina’, 35, 225.006),

(‘Olly’, 49, 104.654),

(‘Nanice’, 25, 194.673),

(‘Therese’, 39, 485.183),

(‘Levy’, 39, 400.245),

(‘Charmain’, 64, 196.884),

(‘Stephanie’, 18, 392.283),

(‘Keeley’, 38, 299.179),

(‘Lorie’, 59, 280.21),

(‘Tonia’, 21, 193.782),

(‘Ruthie’, 66, 480.053),

(‘Muire’, 46, 326.472),

(‘Tiffany’, 67, 297.019),

(‘Aryn’, 19, 395.885),

(‘Elisha’, 67, 386.202),

(‘Willamina’, 45, 428.558),

(‘Ario’, 48, 305.467),

(‘Jacintha’, 66, 441.641),

(‘Debra’, 40, 121.626),

(‘Tomlin’, 48, 397.828),

(‘Orelia’, 67, 193.519),

(‘Dag’, 54, 316.986),

(‘Donnie’, 30, 137.869),

(‘Gallard’, 55, 422.403),

(‘Dukey’, 49, 335.619),

(‘Hobart’, 53, 247.518),

(‘Wilfrid’, 42, 348.686),

(‘Harold’, 28, 356.393),

(‘Keven’, 28, 135.521),

(‘Emmeline’, 34, 419.088),

(‘Rozele’, 52, 195.181),

(‘Stearn’, 22, 340.914),

(‘Wain’, 51, 231.005),

(‘Lizabeth’, 33, 299.755),

(‘Mattias’, 56, 208.941),

(‘Phil’, 20, 453.664),

(‘Vladamir’, 24, 108.759),

(‘Charo’, 67, 428.457),

(‘Schuyler’, 69, 418.62),

(‘Cammi’, 53, 496.175),

(‘Louie’, 26, 475.382),

(‘Seline’, 48, 207.226),

(‘Byron’, 48, 321.657),

(‘Matty’, 24, 251.926),

(‘Walt’, 31, 369.02),

(‘Natal’, 64, 340.942),

(‘Rebecca’, 49, 418.515),

(‘Vincenty’, 42, 498.821),

(‘Ertha’, 37, 187.843),

(‘Sheffy’, 29, 416.712),

(‘Tanney’, 51, 120.588),

(‘Morly’, 22, 415.127),

(‘Issi’, 66, 295.236),

(‘Mata’, 61, 294.383),

(‘Normand’, 45, 111.98),

(‘Edgardo’, 69, 404.059),

(‘Shae’, 32, 494.039),

(‘Katie’, 35, 196.1),

(‘Sigismond’, 50, 247.62),

(‘Emerson’, 45, 229.67),

(‘Pegeen’, 69, 118.719),

(‘Jedidiah’, 22, 456.459),

(‘Robinson’, 59, 121.278),

(‘Natalya’, 66, 219.474),

(‘Wilhelmina’, 54, 225.523),

(‘Torrie’, 53, 480.341),

(‘Sharron’, 57, 238.622),

(‘Cammie’, 61, 121.465),

(‘Ana’, 37, 183.229),

(‘Willy’, 32, 173.536),

(‘Shellie’, 63, 464.418),

(‘Venus’, 30, 354.231),

(‘Jeana’, 43, 189.858),

(‘Jaimie’, 40, 412.73),

(‘Katerine’, 23, 164.376),

(‘Cobbie’, 49, 242.872),

(‘Albertina’, 43, 458.584),

(‘Keriann’, 62, 285.133),

(‘Shelbi’, 66, 482.851),

(‘Kate’, 43, 377.503),

(‘Angeli’, 67, 402.659),

(‘Fidole’, 28, 476.645),

(‘Imelda’, 33, 319.092),

(‘Cletis’, 59, 190.628),

(‘Ellissa’, 70, 374.109),

(‘Yulma’, 39, 175.63),

(‘Francene’, 43, 169.168),

(‘Ethe’, 29, 153.766),

(‘Alfons’, 21, 218.048),

(‘Leanna’, 20, 428.724),

(‘Genny’, 47, 319.854),

(‘Wyn’, 46, 173.171),

(‘Ossie’, 46, 354.056),

(‘Opaline’, 34, 410.943),

(‘Joscelin’, 49, 151.695),

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(‘Bernarr’, 57, 208.223),

(‘Scarlett’, 27, 178.735),

(‘Howie’, 68, 485.619),

(‘Reta’, 32, 487.526),

(‘Corinna’, 41, 130.741),

(‘Lucas’, 48, 367.105),

(‘Tirrell’, 65, 154.7),

(‘Hercule’, 61, 130.828),

(‘Ruttger’, 67, 143.587),

(‘Melli’, 50, 323.667),

(‘Annmarie’, 65, 494.155),

(‘Karoly’, 48, 157.7),

(‘Hobart’, 33, 187.605),

(‘Filbert’, 47, 211.617),

(‘Dar’, 48, 392.597);

“””.format(tabelas[0])

conn.execute(comando_sql)

except SQLAlchemyError as e:

print(e,“nnn“)

try:

comando_sql = “””

INSERT INTO {} (nome)

VALUES (‘Human Resources’),

(‘Services’),

(‘Product Management’),

(‘Support’),

(‘Business Development’),

(‘Services’),

(‘Human Resources’),

(‘Support’),

(‘Engineering’),

(‘Services’);

“””.format(tabelas[1])

conn.execute(comando_sql)

except SQLAlchemyError as e:

print(e,“nnn“)

try:

comando_sql = “””

INSERT INTO {} (id_funcionario, id_departamento, data_entrada, data_saida)

VALUES (1, 4, ‘7/8/2022′, ’10/8/2021’),

(2, 5, ‘1/10/2022’, ‘3/14/2022’),

(3, 7, ‘3/3/2021’, ‘6/24/2021’),

(4, 10, ‘1/4/2022′, ’11/27/2021’),

(5, 3, ‘5/20/2022’, ‘2/20/2021’),

(6, 5, ‘9/7/2021′, ’10/11/2022’),

(7, 6, ‘5/29/2021’, ‘7/11/2022’),

(8, 5, ‘2/18/2022’, ‘5/28/2022’),

(9, 3, ‘3/17/2022’, null),

(10, 9, ‘1/31/2022′, ’10/11/2021’),

(11, 9, ‘2/6/2022’, null),

(12, 2, ‘9/28/2021’, null),

(13, 6, ‘2/28/2021’, ‘4/6/2022′),

(14, 5, ’11/25/2022’, null),

(15, 10, ‘8/8/2021’, ‘6/16/2021’),

(16, 5, ‘8/1/2022’, null),

(17, 1, ‘5/26/2022′, null),

(18, 6, ’11/13/2021’, null),

(19, 8, ‘6/22/2022′, ’12/11/2022’),

(20, 5, ‘2/19/2021’, ‘7/11/2022’),

(21, 3, ‘1/6/2021’, null),

(22, 2, ‘3/30/2022’, ‘3/15/2021’),

(23, 8, ‘9/18/2022’, null),

(24, 3, ‘6/24/2022’, ‘3/12/2021’),

(25, 7, ‘3/30/2021′, null),

(26, 3, ’10/11/2022’, null),

(27, 7, ‘4/13/2021′, ’12/5/2022’),

(28, 7, ‘6/9/2021’, null),

(29, 6, ‘1/18/2022’, null),

(30, 5, ‘2/11/2021’, ‘7/11/2021′),

(31, 6, ’12/19/2021’, ‘5/20/2022’),

(32, 2, ‘5/15/2021’, ‘4/25/2021′),

(33, 3, ’11/20/2022′, ’10/30/2022’),

(34, 4, ‘5/26/2022’, ‘7/2/2022′),

(35, 3, ’12/30/2021’, ‘7/22/2021’),

(36, 6, ‘1/24/2022′, ’12/23/2021’),

(37, 7, ‘6/19/2022’, ‘2/3/2021′),

(38, 5, ’11/16/2022’, ‘9/29/2021’),

(39, 3, ‘5/27/2022′, ’11/17/2021’),

(40, 1, ‘4/4/2021’, ‘1/17/2022′),

(41, 2, ’10/29/2021’, ‘8/7/2022’),

(42, 10, ‘7/21/2021’, ‘7/24/2021’),

(43, 3, ‘7/4/2022’, null),

(44, 3, ‘9/17/2022′, ’12/6/2022’),

(45, 6, ‘3/9/2022’, ‘5/24/2021′),

(46, 2, ’12/31/2021′, null),

(47, 5, ’12/24/2022’, null),

(48, 10, ‘5/24/2022’, ‘2/12/2021’),

(49, 4, ‘1/27/2021’, ‘9/19/2022′),

(50, 1, ’11/17/2021′, null),

(51, 1, ’10/1/2022’, ‘7/29/2021’),

(52, 6, ‘2/11/2021’, ‘7/12/2022’),

(53, 8, ‘7/4/2021’, ‘7/12/2021’),

(54, 8, ‘3/4/2022’, ‘9/27/2021’),

(55, 6, ‘3/24/2021′, ’11/8/2021′),

(56, 6, ’10/17/2021′, null),

(57, 10, ’10/17/2022’, ‘4/13/2021’),

(58, 3, ‘8/11/2021’, null),

(59, 3, ‘7/2/2021’, ‘9/10/2021’),

(60, 5, ‘4/27/2022′, ’11/2/2021′),

(61, 5, ’11/3/2022’, ‘6/20/2022’),

(62, 2, ‘9/14/2021’, ‘8/21/2022’),

(63, 1, ‘4/22/2022’, ‘8/19/2022’),

(64, 10, ‘4/24/2021’, null),

(65, 1, ‘8/22/2021’, ‘1/10/2021′),

(66, 9, ’11/10/2022′, ’11/10/2021’),

(67, 9, ‘7/25/2022’, ‘1/18/2022’),

(68, 3, ‘7/17/2021’, null),

(69, 9, ‘3/29/2022’, ‘2/14/2022’),

(70, 6, ‘6/28/2021’, ‘2/18/2021′),

(71, 2, ’11/14/2022′, ’10/17/2021’),

(72, 6, ‘5/25/2022′, ’10/21/2022′),

(73, 7, ’10/17/2022′, ’12/29/2021′),

(74, 5, ’11/18/2022’, ‘1/11/2021’),

(75, 3, ‘1/1/2022’, ‘2/6/2021’),

(76, 7, ‘2/15/2022’, ‘4/15/2022’),

(77, 5, ‘4/18/2022′, ’12/7/2022’),

(78, 5, ‘5/24/2022’, ‘8/19/2022’),

(79, 5, ‘5/7/2022’, ‘2/19/2022’),

(80, 6, ‘3/29/2021′, ’11/7/2022’),

(81, 5, ‘3/20/2021’, ‘9/28/2021’),

(82, 3, ‘4/11/2021’, ‘1/16/2021’),

(83, 1, ‘3/17/2022′, ’12/27/2022’),

(84, 3, ‘2/17/2021’, ‘7/26/2022’),

(85, 7, ‘5/14/2021’, ‘4/23/2021’),

(86, 10, ‘1/19/2021’, ‘8/31/2021’),

(87, 6, ‘4/28/2021’, ‘7/14/2021′),

(88, 9, ’11/2/2021′, ’11/17/2022’),

(89, 2, ‘6/18/2021’, ‘8/15/2022’),

(90, 10, ‘5/26/2021′, ’10/13/2021’),

(91, 10, ‘6/13/2022’, ‘5/7/2022′),

(92, 4, ’10/14/2021′, ’12/25/2022′),

(93, 6, ’12/8/2021′, ’12/20/2021′),

(94, 10, ’11/29/2021’, null),

(95, 2, ‘7/17/2021’, null),

(96, 3, ‘6/20/2021’, ‘8/9/2021’),

(97, 4, ‘9/10/2022′, ’11/16/2021’),

(98, 2, ‘6/24/2022′, null),

(99, 9, ’12/2/2022’, ‘4/22/2022’),

(100, 2, ‘1/24/2021’, ‘3/10/2022’),

(101, 10, ‘8/6/2022’, null),

(102, 6, ‘7/13/2021′, ’12/21/2021’),

(103, 8, ‘9/1/2021’, ‘9/18/2022’),

(104, 7, ‘2/24/2022’, ‘9/26/2021’),

(105, 6, ‘1/19/2021’, null),

(106, 8, ‘8/28/2022’, ‘7/25/2021’),

(107, 8, ‘6/1/2021′, ’10/21/2021’),

(108, 1, ‘1/24/2022’, null),

(109, 8, ‘6/17/2022’, ‘2/25/2021’),

(110, 1, ‘5/20/2021’, ‘7/8/2021’),

(111, 5, ‘3/10/2021’, null),

(112, 2, ‘8/22/2022′, ’12/8/2022’),

(113, 7, ‘4/23/2022’, ‘5/11/2021’),

(114, 4, ‘2/2/2021’, ‘5/1/2021’),

(115, 7, ‘2/7/2022’, ‘6/14/2021’),

(116, 9, ‘2/5/2021’, ‘7/30/2022’),

(117, 7, ‘9/26/2021’, ‘4/27/2022′),

(118, 9, ’12/19/2021′, ’10/29/2021’),

(119, 5, ‘7/26/2021’, ‘5/22/2022’),

(120, 9, ‘5/28/2021’, ‘7/7/2022’),

(121, 8, ‘3/17/2022′, ’10/29/2021’),

(122, 9, ‘6/4/2021’, ‘8/9/2021’),

(123, 5, ‘2/20/2021′, ’12/5/2021′),

(124, 8, ’10/10/2022’, ‘2/8/2022’),

(125, 4, ‘9/8/2022′, null),

(126, 5, ’11/23/2021’, ‘7/13/2021’),

(127, 7, ‘5/8/2021’, ‘6/14/2022’),

(128, 3, ‘5/23/2021′, null),

(129, 4, ’10/30/2022’, null),

(130, 3, ‘9/10/2022’, ‘1/27/2022’),

(131, 5, ‘9/10/2021’, null),

(132, 6, ‘3/16/2021’, ‘1/23/2021′),

(133, 2, ’12/4/2021’, null),

(134, 5, ‘1/18/2022’, ‘3/4/2021’),

(135, 10, ‘5/13/2022′, ’11/7/2022’),

(136, 3, ‘5/4/2022’, ‘2/23/2022’),

(137, 10, ‘2/3/2022′, null),

(138, 1, ’11/21/2022′, ’10/24/2022’),

(139, 4, ‘4/15/2021’, ‘9/29/2022′),

(140, 8, ’12/15/2021’, ‘5/15/2022’),

(141, 8, ‘2/8/2022’, ‘7/25/2022’),

(142, 1, ‘2/10/2021’, ‘4/20/2021’),

(143, 3, ‘5/7/2022’, null),

(144, 4, ‘3/7/2021′, ’10/13/2021’),

(145, 8, ‘3/13/2021’, ‘2/13/2021’),

(146, 7, ‘7/24/2021’, null),

(147, 8, ‘6/20/2021′, ’10/23/2022’),

(148, 6, ‘5/25/2021’, null),

(149, 9, ‘8/28/2022’, null),

(150, 2, ‘6/26/2021′, ’11/27/2021′),

(151, 3, ’12/11/2022′, ’11/5/2021’),

(152, 6, ‘9/18/2022’, ‘3/6/2021’),

(153, 9, ‘8/5/2022’, ‘5/16/2022’),

(154, 6, ‘3/1/2021’, null),

(155, 2, ‘3/8/2021’, ‘2/24/2022’),

(156, 6, ‘5/25/2021’, ‘4/12/2022’),

(157, 1, ‘3/2/2022’, ‘3/27/2022′),

(158, 3, ’12/21/2022’, ‘5/12/2022’),

(159, 4, ‘4/1/2022′, ’11/26/2021′),

(160, 1, ’10/29/2021’, ‘9/22/2022’),

(161, 6, ‘6/16/2022’, null),

(162, 8, ‘6/5/2021’, null),

(163, 9, ‘4/24/2022’, null),

(164, 8, ‘3/6/2022′, ’11/30/2021’),

(165, 9, ‘4/18/2022’, null),

(166, 2, ‘8/13/2022’, null),

(167, 6, ‘7/19/2021′, ’11/3/2022’),

(168, 8, ‘9/18/2021′, ’12/25/2022’),

(169, 6, ‘4/15/2022’, ‘1/6/2022’),

(170, 7, ‘2/8/2021’, ‘5/20/2022’),

(171, 9, ‘5/3/2021′, ’11/23/2022’),

(172, 3, ‘9/2/2022’, null),

(173, 8, ‘1/8/2021’, ‘7/28/2022′),

(174, 5, ’11/26/2021’, ‘7/1/2022’),

(175, 8, ‘9/10/2021’, null),

(176, 10, ‘8/18/2022′, ’12/9/2022′),

(177, 8, ’12/9/2022’, ‘1/19/2021’),

(178, 5, ‘3/27/2021’, ‘6/14/2022′),

(179, 6, ’10/20/2021′, ’11/2/2021’),

(180, 1, ‘2/7/2021’, ‘5/16/2021′),

(181, 10, ’10/30/2022′, ’10/6/2022′),

(182, 4, ’11/2/2021’, ‘1/12/2021’),

(183, 4, ‘2/24/2022’, ‘6/15/2021’),

(184, 2, ‘7/1/2021’, ‘7/20/2022’),

(185, 4, ‘3/9/2022’, ‘5/9/2022’),

(186, 8, ‘1/16/2021’, null),

(187, 5, ‘6/13/2021’, null),

(188, 6, ‘6/11/2022’, ‘4/7/2022’),

(189, 10, ‘6/2/2022’, ‘5/23/2022’),

(190, 6, ‘4/2/2021’, ‘2/14/2022’),

(191, 8, ‘4/8/2022’, null),

(192, 4, ‘1/2/2021’, ‘6/28/2022’),

(193, 10, ‘1/16/2021’, ‘5/12/2021’),

(194, 7, ‘6/7/2021’, ‘7/4/2021’),

(195, 8, ‘1/27/2021’, null),

(196, 10, ‘2/1/2021’, null),

(197, 7, ‘8/27/2022’, ‘9/22/2022’),

(198, 5, ‘7/1/2022’, ‘1/25/2022’),

(199, 9, ‘5/2/2022′, ’10/19/2021′),

(200, 2, ’12/25/2021’, ‘2/9/2021’),

(201, 4, ‘2/5/2021’, ‘3/7/2021’),

(202, 10, ‘4/24/2022’, ‘2/16/2022′),

(203, 5, ’10/19/2021’, null),

(204, 7, ‘5/5/2022′, ’12/3/2022′),

(205, 8, ’10/6/2021’, null),

(206, 4, ‘2/21/2022’, null),

(207, 1, ‘9/22/2022’, ‘8/25/2022’),

(208, 7, ‘4/21/2022′, null),

(209, 8, ’11/2/2021’, ‘9/1/2021’),

(210, 7, ‘7/10/2021’, ‘1/7/2021’),

(211, 5, ‘1/24/2022’, ‘1/9/2021′),

(212, 10, ’11/20/2021’, ‘3/31/2022’),

(213, 6, ‘2/4/2022’, ‘3/12/2021′),

(214, 3, ’12/21/2022’, ‘6/26/2021’),

(215, 9, ‘6/12/2022’, ‘9/3/2022′),

(216, 5, ’11/15/2021′, ’11/19/2021′),

(217, 9, ’12/4/2022’, ‘1/10/2021’),

(218, 5, ‘6/22/2021’, ‘7/16/2021′),

(219, 9, ’11/17/2022’, ‘9/1/2022’),

(220, 7, ‘5/31/2022’, ‘1/6/2022’),

(221, 5, ‘3/25/2021′, null),

(222, 7, ’12/7/2022’, null),

(223, 9, ‘6/13/2021′, ’10/16/2022′),

(224, 3, ’12/7/2022’, ‘9/14/2022’),

(225, 3, ‘8/30/2021’, ‘2/27/2021’),

(226, 3, ‘6/10/2022’, ‘7/8/2021’),

(227, 3, ‘8/19/2021′, ’10/15/2022’),

(228, 7, ‘9/3/2021’, ‘1/10/2021’),

(229, 4, ‘5/11/2021’, ‘6/17/2022′),

(230, 3, ’12/6/2021’, null),

(231, 6, ‘3/19/2022’, ‘1/27/2021’),

(232, 2, ‘4/1/2022’, ‘5/27/2021’),

(233, 5, ‘3/27/2022’, null),

(234, 9, ‘7/8/2021′, ’11/27/2021’),

(235, 7, ‘3/22/2022’, ‘9/15/2021’),

(236, 1, ‘2/20/2022’, null),

(237, 2, ‘6/11/2021’, ‘7/15/2022’),

(238, 5, ‘4/4/2022’, ‘5/27/2021’),

(239, 1, ‘9/19/2021’, ‘8/8/2022′),

(240, 4, ’12/6/2022’, null),

(241, 3, ‘1/2/2022’, null),

(242, 8, ‘3/25/2021’, null),

(243, 8, ‘4/6/2021’, ‘9/21/2022’),

(244, 7, ‘2/22/2022’, ‘1/3/2022’),

(245, 5, ‘8/20/2021’, ‘7/3/2021’),

(246, 9, ‘9/5/2021’, ‘7/6/2021’),

(247, 3, ‘5/12/2022′, ’11/21/2022′),

(248, 6, ’10/28/2022’, null),

(249, 7, ‘6/1/2022’, ‘6/3/2021’),

(250, 3, ‘5/3/2021′, ’10/9/2021’),

(251, 7, ‘3/29/2021’, ‘3/15/2021’),

(252, 1, ‘8/23/2021′, ’11/21/2021’),

(253, 7, ‘3/29/2022’, null),

(254, 9, ‘4/16/2022’, ‘5/1/2022’),

(255, 10, ‘4/6/2022’, null),

(256, 8, ‘6/13/2021’, ‘3/30/2021′),

(257, 3, ’11/26/2021’, ‘9/6/2021’),

(258, 4, ‘3/21/2022′, null),

(259, 6, ’12/7/2022’, ‘6/17/2021’),

(260, 8, ‘8/10/2021’, ‘8/6/2021’),

(261, 5, ‘5/23/2022′, null),

(262, 2, ’10/11/2021′, ’10/27/2022’),

(263, 2, ‘7/7/2021′, ’10/19/2021’),

(264, 5, ‘8/4/2021′, null),

(265, 9, ’12/13/2022’, ‘8/25/2021’),

(266, 8, ‘6/16/2021’, ‘9/12/2022′),

(267, 3, ’10/8/2021’, ‘9/25/2021’),

(268, 1, ‘7/25/2021’, ‘7/14/2022’),

(269, 6, ‘2/24/2022’, ‘5/6/2021′),

(270, 7, ’11/15/2022′, null),

(271, 8, ’11/25/2022’, ‘7/16/2022’),

(272, 4, ‘7/7/2022’, null),

(273, 4, ‘7/24/2021’, ‘4/20/2021’),

(274, 6, ‘6/30/2021′, ’12/16/2022′),

(275, 1, ’11/10/2021’, ‘1/11/2022’),

(276, 4, ‘3/12/2021’, ‘9/21/2022’),

(277, 9, ‘5/5/2021’, ‘3/24/2021’),

(278, 4, ‘5/12/2022’, ‘9/20/2021’),

(279, 6, ‘1/1/2022’, ‘5/15/2022’),

(280, 2, ‘5/4/2022’, ‘3/5/2022′),

(281, 9, ’10/6/2021’, null),

(282, 7, ‘2/6/2021’, ‘3/28/2021’),

(283, 9, ‘6/26/2021’, ‘9/16/2022’),

(284, 3, ‘7/30/2022′, null),

(285, 2, ’11/23/2022’, ‘3/27/2022’),

(286, 2, ‘6/20/2021′, ’11/20/2022’),

(287, 3, ‘2/18/2021’, null),

(288, 9, ‘7/16/2022′, ’11/27/2021’),

(289, 5, ‘5/10/2021’, ‘8/6/2021’),

(290, 10, ‘6/10/2022’, ‘7/4/2021’),

(291, 5, ‘2/20/2021’, null),

(292, 8, ‘1/10/2021′, null),

(293, 2, ’10/12/2021’, ‘3/31/2021′),

(294, 9, ’10/26/2022’, null),

(295, 8, ‘1/13/2021’, ‘3/29/2021’),

(296, 9, ‘3/24/2022’, ‘9/22/2021′),

(297, 1, ’10/21/2022’, null),

(298, 10, ‘6/4/2021’, null),

(299, 10, ‘9/19/2021’, null),

(300, 6, ‘2/16/2021’, ‘9/11/2022’),

(301, 9, ‘6/17/2022’, ‘2/11/2022’),

(302, 2, ‘2/17/2021’, ‘1/13/2021’),

(303, 5, ‘5/3/2021’, null),

(304, 3, ‘7/22/2021’, ‘5/14/2022’),

(305, 8, ‘5/29/2022′, ’12/25/2022’),

(306, 8, ‘1/15/2022′, ’12/21/2022’),

(307, 7, ‘5/20/2021’, null),

(308, 4, ‘7/23/2021′, null),

(309, 3, ’11/7/2021’, ‘5/17/2022’),

(310, 1, ‘5/8/2021′, ’10/3/2022’),

(311, 8, ‘2/11/2022’, ‘5/21/2022’),

(312, 3, ‘9/17/2022’, ‘8/17/2022’),

(313, 10, ‘4/4/2022’, null),

(314, 5, ‘4/7/2021’, null),

(315, 4, ‘9/7/2021’, ‘4/5/2021′),

(316, 5, ’10/26/2022′, null),

(317, 6, ’11/26/2022’, ‘6/27/2021’),

(318, 10, ‘9/23/2022’, ‘9/21/2022’),

(319, 4, ‘5/19/2022’, ‘4/20/2022’),

(320, 5, ‘2/6/2022’, ‘4/4/2022’),

(321, 5, ‘9/21/2021’, null),

(322, 7, ‘1/13/2021’, null),

(323, 9, ‘8/11/2022’, ‘6/20/2022’),

(324, 8, ‘7/1/2022′, ’11/18/2022′),

(325, 6, ’10/15/2021’, null),

(326, 1, ‘3/30/2022’, null),

(327, 9, ‘3/13/2022′, null),

(328, 9, ’10/22/2022’, ‘9/28/2021’),

(329, 5, ‘6/23/2021’, ‘4/4/2022’),

(330, 2, ‘2/3/2021’, null),

(331, 5, ‘8/29/2022’, ‘9/18/2022′),

(332, 9, ’12/31/2021’, ‘5/3/2022’),

(333, 7, ‘4/6/2022′, ’10/10/2021′),

(334, 7, ’12/25/2021’, ‘2/17/2021’),

(335, 3, ‘9/15/2022’, ‘5/16/2021′),

(336, 4, ’11/9/2021’, ‘4/4/2021’),

(337, 6, ‘3/12/2021’, ‘5/12/2021′),

(338, 10, ’11/15/2022’, ‘8/31/2022’),

(339, 1, ‘7/7/2022’, ‘1/30/2021’),

(340, 2, ‘8/2/2021’, ‘7/10/2021’),

(341, 6, ‘9/7/2021’, null),

(342, 10, ‘3/20/2022’, ‘6/8/2021′),

(343, 9, ’11/6/2022′, null),

(344, 8, ’10/7/2021’, ‘6/3/2021’),

(345, 6, ‘6/3/2021′, null),

(346, 5, ’10/18/2022’, ‘6/3/2021’),

(347, 10, ‘7/28/2021’, null),

(348, 4, ‘6/28/2022’, null),

(349, 2, ‘2/3/2021’, ‘8/8/2021’),

(350, 9, ‘6/15/2021’, ‘1/6/2021′),

(351, 9, ’10/11/2022’, ‘1/17/2021′),

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(719, 9, ’11/13/2022’, ‘8/3/2021’),

(720, 9, ‘7/26/2021’, ‘9/7/2021′),

(721, 5, ’10/27/2021’, ‘4/17/2022’),

(722, 1, ‘2/27/2021’, ‘8/1/2022′),

(723, 2, ’10/18/2021’, ‘2/14/2021’),

(724, 6, ‘2/13/2022’, ‘9/8/2021’),

(725, 6, ‘3/19/2022′, ’11/27/2022′),

(726, 3, ’12/12/2021’, ‘6/6/2022′),

(727, 4, ’12/16/2021’, null),

(728, 10, ‘1/1/2021’, ‘8/8/2021’),

(729, 9, ‘9/28/2021′, null),

(730, 3, ’10/27/2022’, ‘9/15/2022’),

(731, 9, ‘7/25/2022’, null),

(732, 7, ‘8/30/2022′, ’11/16/2021′),

(733, 1, ’11/30/2021′, null),

(734, 3, ’10/31/2021′, null),

(735, 6, ’12/4/2021′, ’12/22/2021’),

(736, 1, ‘3/17/2022′, null),

(737, 4, ’10/2/2021’, null),

(738, 1, ‘8/22/2021’, ‘7/17/2022′),

(739, 4, ’11/16/2021’, null),

(740, 2, ‘2/10/2022’, ‘9/2/2022′),

(741, 5, ’11/6/2022′, null),

(742, 2, ’11/30/2021’, ‘7/20/2021′),

(743, 10, ’12/10/2022’, ‘4/2/2021’),

(744, 3, ‘3/21/2021’, ‘5/3/2021’),

(745, 7, ‘6/29/2022’, ‘9/23/2021’),

(746, 10, ‘4/17/2021′, null),

(747, 9, ’11/4/2021’, ‘8/20/2022’),

(748, 3, ‘7/30/2022’, null),

(749, 2, ‘2/10/2022’, null),

(750, 2, ‘8/8/2021’, ‘9/21/2022′),

(751, 2, ’12/1/2021’, null),

(752, 3, ‘8/6/2021’, null),

(753, 8, ‘9/3/2021′, ’10/27/2022’),

(754, 2, ‘8/24/2021’, null),

(755, 7, ‘5/15/2021’, ‘5/11/2021′),

(756, 10, ’12/30/2022’, ‘8/30/2022’),

(757, 5, ‘9/11/2022’, ‘6/27/2021’),

(758, 4, ‘5/3/2021’, null),

(759, 9, ‘5/11/2022’, ‘4/8/2022’),

(760, 6, ‘8/21/2022′, null),

(761, 9, ’12/24/2022’, ‘3/7/2021’),

(762, 4, ‘4/11/2022’, ‘9/28/2021′),

(763, 1, ’11/23/2022’, null),

(764, 4, ‘4/8/2022’, null),

(765, 6, ‘7/20/2021’, ‘9/11/2022’),

(766, 10, ‘5/24/2022’, ‘9/23/2021′),

(767, 3, ’12/7/2022’, ‘7/28/2021’),

(768, 5, ‘5/24/2021′, ’10/9/2021′),

(769, 3, ’10/16/2022′, null),

(770, 5, ’11/9/2021’, null),

(771, 5, ‘6/21/2022′, null),

(772, 9, ’12/11/2022′, null),

(773, 3, ’10/16/2021′, ’10/17/2022’),

(774, 8, ‘8/25/2021’, ‘6/22/2022’),

(775, 8, ‘5/5/2021′, ’10/8/2021’),

(776, 6, ‘3/18/2021′, null),

(777, 3, ’11/4/2021’, null),

(778, 5, ‘9/7/2022’, ‘8/4/2021′),

(779, 8, ’11/2/2021’, null),

(780, 6, ‘9/28/2022’, null),

(781, 4, ‘3/27/2022′, ’10/30/2021’),

(782, 1, ‘5/8/2021’, null),

(783, 4, ‘8/31/2021’, null),

(784, 1, ‘8/6/2021’, null),

(785, 8, ‘4/26/2021’, ‘2/26/2021’),

(786, 4, ‘1/12/2022’, ‘5/2/2022′),

(787, 6, ’10/5/2021’, null),

(788, 1, ‘9/21/2021’, ‘7/7/2021’),

(789, 7, ‘2/4/2022’, ‘4/13/2022’),

(790, 1, ‘9/3/2022’, null),

(791, 7, ‘2/16/2021’, ‘8/8/2022′),

(792, 7, ’10/21/2021’, null),

(793, 8, ‘6/21/2021’, ‘1/16/2021′),

(794, 1, ’12/19/2022’, ‘3/2/2021’),

(795, 10, ‘9/26/2021’, ‘3/22/2022’),

(796, 10, ‘4/6/2022’, ‘1/8/2021’),

(797, 10, ‘5/5/2022′, ’12/7/2021’),

(798, 9, ‘3/8/2022’, ‘2/2/2022′),

(799, 4, ’10/12/2022’, ‘8/18/2021’),

(800, 5, ‘7/10/2022′, null),

(801, 2, ’10/5/2021′, null),

(802, 3, ’10/5/2021′, ’12/5/2021′),

(803, 9, ’10/30/2022′, ’12/17/2022’),

(804, 8, ‘7/13/2022’, ‘8/30/2021′),

(805, 6, ’10/22/2021’, ‘2/25/2022’),

(806, 10, ‘5/8/2022′, ’12/21/2022′),

(807, 2, ’12/10/2021′, ’10/16/2021’),

(808, 6, ‘1/7/2021’, ‘5/22/2021′),

(809, 6, ’11/2/2022’, ‘2/5/2021’),

(810, 2, ‘5/23/2022’, ‘3/12/2022’),

(811, 10, ‘9/11/2021’, null),

(812, 3, ‘1/6/2022’, ‘3/18/2021’),

(813, 4, ‘1/22/2021’, null),

(814, 7, ‘9/22/2021’, ‘7/13/2021’),

(815, 3, ‘7/1/2021′, null),

(816, 9, ’10/10/2021’, ‘5/5/2021’),

(817, 4, ‘7/2/2021′, ’10/12/2022’),

(818, 8, ‘6/30/2021′, ’11/23/2022’),

(819, 7, ‘1/31/2021’, null),

(820, 4, ‘9/28/2021’, null),

(821, 4, ‘2/8/2022’, ‘8/31/2022′),

(822, 6, ’11/15/2021′, ’12/16/2021’),

(823, 9, ‘3/27/2022’, null),

(824, 4, ‘1/23/2022′, ’11/2/2022’),

(825, 2, ‘1/11/2022’, ‘4/21/2021’),

(826, 1, ‘5/23/2021′, null),

(827, 3, ’11/30/2021’, ‘9/16/2022’),

(828, 8, ‘1/5/2022’, ‘7/11/2021’),

(829, 6, ‘6/30/2022′, null),

(830, 7, ’12/7/2022’, null),

(831, 9, ‘9/4/2021’, null),

(832, 10, ‘6/3/2021’, ‘2/10/2021’),

(833, 4, ‘7/20/2022’, ‘5/18/2021’),

(834, 6, ‘1/3/2021’, ‘9/14/2021′),

(835, 10, ’10/9/2021’, null),

(836, 5, ‘8/22/2022’, ‘6/2/2022’),

(837, 10, ‘2/21/2022′, ’11/18/2022′),

(838, 1, ’10/14/2021′, ’11/11/2021’),

(839, 1, ‘9/24/2022’, ‘2/8/2021’),

(840, 3, ‘6/29/2022’, ‘7/13/2021’),

(841, 9, ‘7/6/2021’, null),

(842, 2, ‘8/21/2021’, null),

(843, 5, ‘1/29/2022′, null),

(844, 2, ’11/5/2021’, ‘6/24/2022’),

(845, 9, ‘6/29/2021’, ‘2/24/2022′),

(846, 10, ’11/28/2022’, ‘6/18/2022′),

(847, 6, ’10/11/2022’, ‘3/27/2021’),

(848, 1, ‘6/12/2021′, ’11/16/2022’),

(849, 5, ‘2/14/2021’, ‘2/28/2021′),

(850, 9, ’12/23/2022’, null),

(851, 2, ‘4/27/2022’, ‘6/23/2021′),

(852, 7, ’10/6/2022’, ‘7/25/2021’),

(853, 10, ‘4/5/2021’, ‘2/19/2021’),

(854, 1, ‘1/21/2021’, ‘3/4/2022′),

(855, 8, ’10/4/2022’, ‘6/12/2021’),

(856, 10, ‘2/16/2022’, ‘4/21/2022’),

(857, 8, ‘3/1/2022′, null),

(858, 3, ’11/28/2022’, ‘6/19/2021′),

(859, 4, ’11/23/2022’, ‘1/13/2021’),

(860, 8, ‘3/13/2022’, ‘5/2/2021’),

(861, 5, ‘1/30/2022’, ‘6/16/2021’),

(862, 8, ‘6/9/2022’, ‘1/8/2021′),

(863, 3, ’10/7/2022′, ’10/2/2022’),

(864, 8, ‘1/14/2021′, ’11/24/2021’),

(865, 9, ‘6/23/2022′, ’11/22/2022′),

(866, 7, ’12/4/2021’, null),

(867, 10, ‘8/6/2021’, ‘1/18/2022’),

(868, 6, ‘3/30/2021’, ‘6/21/2021′),

(869, 1, ’11/30/2021’, ‘7/28/2021’),

(870, 7, ‘9/8/2021’, null),

(871, 4, ‘6/27/2022’, ‘6/30/2022’),

(872, 9, ‘1/12/2021′, ’11/25/2021’),

(873, 7, ‘5/15/2021’, null),

(874, 1, ‘1/21/2021’, null),

(875, 10, ‘7/16/2022’, ‘9/21/2022’),

(876, 5, ‘2/28/2021’, null),

(877, 5, ‘1/4/2021’, ‘3/26/2022’),

(878, 8, ‘8/24/2022’, null),

(879, 5, ‘1/25/2021’, ‘3/27/2021’),

(880, 3, ‘3/9/2022’, ‘5/31/2021′),

(881, 10, ’11/22/2022′, ’11/18/2021′),

(882, 7, ’10/4/2021’, ‘6/11/2022’),

(883, 4, ‘5/13/2021′, ’11/20/2021’),

(884, 3, ‘6/4/2022′, ’10/12/2021′),

(885, 9, ’11/27/2021’, null),

(886, 6, ‘3/21/2021′, ’12/8/2022′),

(887, 1, ’12/22/2022’, ‘7/28/2021’),

(888, 3, ‘2/15/2022’, null),

(889, 3, ‘4/13/2022’, ‘3/30/2022’),

(890, 1, ‘8/6/2022’, ‘8/16/2021’),

(891, 8, ‘3/31/2021’, ‘9/30/2021’),

(892, 5, ‘9/19/2022’, ‘5/14/2021′),

(893, 1, ’12/4/2022′, ’12/7/2022′),

(894, 5, ’10/7/2021’, null),

(895, 9, ‘7/5/2021’, ‘4/16/2022′),

(896, 2, ’10/6/2022’, null),

(897, 3, ‘3/26/2022′, ’10/19/2022’),

(898, 5, ‘1/22/2021’, ‘9/25/2021’),

(899, 2, ‘9/14/2021’, null),

(900, 10, ‘6/29/2021’, null),

(901, 5, ‘4/20/2021’, null),

(902, 2, ‘4/1/2022’, ‘5/3/2022’),

(903, 9, ‘7/3/2021′, ’10/21/2021’),

(904, 9, ‘8/15/2022’, ‘8/22/2022′),

(905, 3, ’12/12/2022’, ‘5/3/2021’),

(906, 4, ‘1/30/2021′, ’10/21/2022’),

(907, 3, ‘3/30/2021’, ‘8/27/2021’),

(908, 4, ‘9/4/2022’, ‘9/29/2022’),

(909, 3, ‘7/24/2021’, null),

(910, 9, ‘4/24/2022’, null),

(911, 2, ‘4/21/2022’, null),

(912, 9, ‘5/9/2021’, ‘2/8/2021’),

(913, 2, ‘9/5/2022’, null),

(914, 3, ‘3/2/2021’, ‘5/15/2021′),

(915, 3, ’10/19/2021’, ‘7/4/2021′),

(916, 3, ’12/14/2022’, ‘8/21/2022’),

(917, 8, ‘8/19/2021’, ‘9/25/2021′),

(918, 5, ’12/28/2022’, ‘9/14/2022’),

(919, 8, ‘9/10/2021′, ’12/2/2022’),

(920, 5, ‘7/27/2021’, ‘6/26/2022’),

(921, 5, ‘4/2/2021’, ‘4/27/2022’),

(922, 1, ‘8/28/2022’, null),

(923, 6, ‘2/3/2021’, ‘7/27/2022’),

(924, 4, ‘8/18/2021’, null),

(925, 1, ‘5/25/2022’, ‘6/1/2022’),

(926, 5, ‘6/25/2021’, null),

(927, 9, ‘2/28/2021’, ‘7/12/2022′),

(928, 3, ’10/17/2021’, null),

(929, 2, ‘4/2/2022′, null),

(930, 3, ’10/22/2021′, ’12/28/2021’),

(931, 9, ‘1/4/2021’, ‘1/20/2022’),

(932, 1, ‘5/24/2021’, ‘3/16/2022’),

(933, 5, ‘4/11/2022’, ‘2/14/2022’),

(934, 6, ‘2/12/2022’, null),

(935, 10, ‘6/26/2021’, null),

(936, 3, ‘3/30/2021′, null),

(937, 2, ’11/23/2021’, ‘5/28/2021’),

(938, 3, ‘6/11/2021’, ‘4/2/2022′),

(939, 8, ’10/19/2021’, ‘6/5/2022’),

(940, 4, ‘2/7/2022’, ‘1/28/2021’),

(941, 1, ‘6/16/2022’, ‘6/6/2021’),

(942, 4, ‘3/30/2022’, ‘3/28/2021’),

(943, 1, ‘3/10/2022′, ’12/2/2021’),

(944, 1, ‘9/27/2022′, ’12/6/2021′),

(945, 3, ’11/7/2021’, ‘9/5/2021’),

(946, 8, ‘6/23/2021’, ‘6/4/2021′),

(947, 8, ’10/15/2022′, ’12/28/2022’),

(948, 4, ‘6/16/2022′, null),

(949, 10, ’11/22/2021′, ’12/1/2022’),

(950, 2, ‘2/27/2021’, ‘5/10/2022′),

(951, 9, ’10/26/2022’, ‘3/6/2022’),

(952, 5, ‘8/14/2022’, ‘2/13/2022’),

(953, 8, ‘6/15/2022’, ‘7/27/2021’),

(954, 8, ‘8/14/2021’, ‘9/28/2021’),

(955, 9, ‘6/29/2022′, null),

(956, 10, ’10/1/2021’, ‘9/19/2022’),

(957, 5, ‘6/17/2022’, ‘3/27/2022’),

(958, 9, ‘5/1/2022′, null),

(959, 5, ’11/8/2022’, ‘9/9/2021’),

(960, 8, ‘7/1/2021’, null),

(961, 7, ‘8/15/2021’, ‘5/8/2022’),

(962, 6, ‘6/25/2021’, ‘1/6/2022’),

(963, 4, ‘6/9/2022’, ‘2/11/2022’),

(964, 9, ‘5/8/2021’, ‘2/22/2022′),

(965, 6, ’11/17/2021′, null),

(966, 2, ’10/10/2022’, ‘7/27/2022’),

(967, 5, ‘3/23/2021’, null),

(968, 5, ‘1/30/2021’, ‘5/14/2022’),

(969, 8, ‘6/13/2021′, null),

(970, 10, ’11/2/2021’, ‘4/29/2021’),

(971, 7, ‘6/25/2022’, ‘4/5/2022′),

(972, 1, ’12/17/2022′, ’12/22/2021′),

(973, 4, ’11/18/2022’, ‘6/24/2021’),

(974, 3, ‘5/23/2021’, ‘9/11/2022’),

(975, 10, ‘6/30/2021′, null),

(976, 2, ’11/11/2022′, ’10/23/2022’),

(977, 6, ‘1/2/2021′, ’12/12/2021′),

(978, 8, ’10/16/2021’, null),

(979, 7, ‘6/20/2021′, null),

(980, 10, ’10/10/2021′, ’10/5/2022’),

(981, 2, ‘3/29/2022′, ’10/23/2021′),

(982, 1, ’12/20/2021’, null),

(983, 2, ‘7/6/2022’, null),

(984, 9, ‘4/5/2022’, ‘9/4/2021’),

(985, 10, ‘7/1/2021’, ‘6/24/2021′),

(986, 3, ’10/20/2021’, null),

(987, 5, ‘5/11/2021’, ‘5/15/2022′),

(988, 8, ’12/30/2021’, ‘6/11/2022’),

(989, 7, ‘9/20/2021’, null),

(990, 1, ‘4/19/2021’, ‘2/1/2022′),

(991, 9, ’10/4/2021’, ‘2/24/2021’),

(992, 3, ‘3/2/2021’, null),

(993, 5, ‘6/2/2021’, ‘5/21/2022’),

(994, 6, ‘3/8/2022′, ’11/12/2021′),

(995, 10, ’10/28/2022’, ‘9/11/2021′),

(996, 2, ’10/22/2022’, ‘3/25/2022’),

(997, 3, ‘3/20/2021′, ’12/22/2022’),

(998, 3, ‘3/15/2022’, ‘7/15/2021’),

(999, 2, ‘5/15/2022’, ‘5/29/2021’),

(1000, 8, ‘1/26/2021’, ‘6/24/2022’);

“””.format(tabelas[2])

conn.execute(comando_sql)

except SQLAlchemyError as e:

print(e,“nnn“)

trans.commit()

conn.close()

2022-10-20 00:40:42,176 INFO sqlalchemy.engine.Engine BEGIN (implicit)
2022-10-20 00:40:42,179 INFO sqlalchemy.engine.Engine
INSERT INTO funcionarios (nome, idade, salario)
VALUES (‘Hephzibah’, 38, 306.261),
(‘Paxon’, 65, 428.725),
(‘Corty’, 48, 198.27),
(‘Hedy’, 46, 440.927),
(‘Elyse’, 39, 480.426),
(‘Ira’, 21, 186.163),
(‘Mattias’, 43, 344.029),
(‘Tybalt’, 57, 363.227),
(‘Sully’, 40, 282.221),
(‘Wrennie’, 41, 122.309),
(‘Anatol’, 60, 176.018),
(‘Craggie’, 69, 201.606),
(‘Aila’, 20, 358.59),
(‘Marylin’, 40, 163.559),
(‘Moselle’, 48, 306.284),
(‘Raleigh’, 23, 430.375),
(‘Tracey’, 31, 109.874),
(‘Olenolin’, 40, 190.977),
(‘Myranda’, 49, 324.872),
(‘Filberto’, 24, 362.89),
(‘Calvin’, 37, 498.879),
(‘Ravid’, 33, 329.84),
(‘Valeria’, 61, 454.795),
(‘Walsh’, 49, 222.983),
(‘Tildy’, 26, 340.03),
(‘Ozzie’, 28, 460.795),
(‘Vassily’, 69, 461.507),
(‘Chester’, 48, 228.136),
(‘Drusy’, 65, 330.337),
(‘Joshuah’, 36, 271.316),
(‘Jessalyn’, 33, 435.451),
(‘Hastings’, 67, 105.676),
(‘Nichol’, 38, 209.852),
(‘Callie’, 19, 261.095),
(‘Efren’, 44, 149.052),
(‘Omero’, 19, 430.706),
(‘Aharon’, 65, 210.921),
(‘Thedrick’, 19, 270.674),
(‘Chiarra’, 27, 197.729),
(‘Tani’, 18, 457.511),
(‘Tanitansy’, 44, 174.833),
(‘Griswold’, 47, 477.253),
(‘Sandi’, 31, 188.89),
(‘Harland’, 40, 447.03),
(‘Debora’, 67, 393.019),
(‘Randy’, 22, 281.047),
(‘Annamarie’, 29, 160.797),
(‘Ash’, 52, 131.195),
(‘Kevon’, 21, 253.041),
(‘Loria’, 68, 109.354),
(‘Inessa’, 65, 187.908),
(‘Gayle’, 66, 419.131),
(‘Cleavland’, 56, 281.807),
(‘Della’, 27, 443.801),
(‘Theo’, 31, 211.841),
(‘Emmalynn’, 23, 178.087),
(‘Lenore’, 21, 167.761),
(‘Sebastien’, 50, 212.595),
(‘Maye’, 42, 157.183),
(‘Adler’, 36, 125.511),
(‘Indira’, 35, 455.862),
(‘Griffith’, 54, 332.999),
(‘Terri’, 20, 198.459),
(‘Nevins’, 59, 478.889),
(‘Gary’, 53, 173.63),
(‘Gus’, 30, 338.104),
(‘Giuseppe’, 61, 192.944),
(‘Inna’, 19, 214.232),
(‘Amanda’, 70, 347.533),
(‘Vaughan’, 42, 339.797),
(‘Aileen’, 65, 340.789),
(‘Philippe’, 54, 218.0),
(‘Hymie’, 43, 415.404),
(‘Lindy’, 42, 339.442),
(‘Bettina’, 52, 329.928),
(‘Valdemar’, 49, 479.844),
(‘Dominique’, 68, 478.001),
(‘Jillane’, 62, 182.667),
(‘Krystyna’, 34, 390.99),
(‘Franklyn’, 18, 212.867),
(‘Haywood’, 22, 307.16),
(‘Hamnet’, 65, 160.588),
(‘Silvie’, 22, 207.014),
(‘Reider’, 46, 250.875),
(‘Faustine’, 31, 341.601),
(‘Aidan’, 60, 118.999),
(‘Mirabelle’, 37, 399.88),
(‘Gael’, 69, 210.08),
(‘Jolene’, 42, 126.617),
(‘Tabb’, 23, 125.177),
(‘Della’, 33, 138.436),
(‘Adiana’, 47, 320.703),
(‘Brant’, 26, 470.602),
(‘Jarred’, 62, 298.066),
(‘Isabeau’, 43, 213.286),
(‘Samson’, 53, 376.524),
(‘Hill’, 18, 240.595),
(‘Everett’, 56, 209.022),
(‘Den’, 40, 287.707),
(‘Conroy’, 19, 180.845),
(‘Curt’, 38, 115.125),
(‘Lacee’, 43, 446.607),
(‘Valentina’, 68, 218.617),
(‘Willabella’, 50, 266.203),
(‘Catie’, 39, 314.167),
(‘Ainslie’, 69, 482.091),
(‘Rutger’, 50, 273.965),
(‘Lyssa’, 55, 418.887),
(‘Mahala’, 62, 454.605),
(‘Lezley’, 22, 204.433),
(‘Urban’, 56, 370.748),
(‘Annice’, 63, 453.042),
(‘Spencer’, 43, 226.196),
(‘Dot’, 57, 450.624),
(‘Dawn’, 57, 392.393),
(‘Kipper’, 53, 243.837),
(‘Harland’, 63, 302.217),
(‘Kirby’, 41, 406.159),
(‘Raye’, 26, 291.721),
(‘Berget’, 45, 423.384),
(‘Hobie’, 47, 186.007),
(‘Francklin’, 59, 284.006),
(‘Smitty’, 54, 273.56),
(‘Nefen’, 42, 493.67),
(‘Theodore’, 62, 132.44),
(‘Marsiella’, 41, 110.863),
(‘Alwyn’, 48, 473.699),
(‘Alexei’, 24, 412.807),
(‘Zaria’, 37, 230.695),
(‘Doll’, 57, 269.332),
(‘Ki’, 68, 405.171),
(‘Deck’, 62, 200.996),
(‘Lisette’, 59, 181.479),
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(‘Hy’, 43, 145.96),
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(‘Annmarie’, 65, 494.155),
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(‘Hobart’, 33, 187.605),
(‘Filbert’, 47, 211.617),
(‘Dar’, 48, 392.597);2022-10-20 00:40:42,180 INFO sqlalchemy.engine.Engine [raw sql] ()
2022-10-20 00:40:42,183 INFO sqlalchemy.engine.Engine
INSERT INTO departamentos (nome)
VALUES (‘Human Resources’),
(‘Services’),
(‘Product Management’),
(‘Support’),
(‘Business Development’),
(‘Services’),
(‘Human Resources’),
(‘Support’),
(‘Engineering’),
(‘Services’);

2022-10-20 00:40:42,184 INFO sqlalchemy.engine.Engine [raw sql] ()
2022-10-20 00:40:42,185 INFO sqlalchemy.engine.Engine
INSERT INTO trabalha (id_funcionario, id_departamento, data_entrada, data_saida)
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(935, 10, ‘6/26/2021’, null),
(936, 3, ‘3/30/2021′, null),
(937, 2, ’11/23/2021’, ‘5/28/2021’),
(938, 3, ‘6/11/2021’, ‘4/2/2022′),
(939, 8, ’10/19/2021’, ‘6/5/2022’),
(940, 4, ‘2/7/2022’, ‘1/28/2021’),
(941, 1, ‘6/16/2022’, ‘6/6/2021’),
(942, 4, ‘3/30/2022’, ‘3/28/2021’),
(943, 1, ‘3/10/2022′, ’12/2/2021’),
(944, 1, ‘9/27/2022′, ’12/6/2021′),
(945, 3, ’11/7/2021’, ‘9/5/2021’),
(946, 8, ‘6/23/2021’, ‘6/4/2021′),
(947, 8, ’10/15/2022′, ’12/28/2022’),
(948, 4, ‘6/16/2022′, null),
(949, 10, ’11/22/2021′, ’12/1/2022’),
(950, 2, ‘2/27/2021’, ‘5/10/2022′),
(951, 9, ’10/26/2022’, ‘3/6/2022’),
(952, 5, ‘8/14/2022’, ‘2/13/2022’),
(953, 8, ‘6/15/2022’, ‘7/27/2021’),
(954, 8, ‘8/14/2021’, ‘9/28/2021’),
(955, 9, ‘6/29/2022′, null),
(956, 10, ’10/1/2021’, ‘9/19/2022’),
(957, 5, ‘6/17/2022’, ‘3/27/2022’),
(958, 9, ‘5/1/2022′, null),
(959, 5, ’11/8/2022’, ‘9/9/2021’),
(960, 8, ‘7/1/2021’, null),
(961, 7, ‘8/15/2021’, ‘5/8/2022’),
(962, 6, ‘6/25/2021’, ‘1/6/2022’),
(963, 4, ‘6/9/2022’, ‘2/11/2022’),
(964, 9, ‘5/8/2021’, ‘2/22/2022′),
(965, 6, ’11/17/2021′, null),
(966, 2, ’10/10/2022’, ‘7/27/2022’),
(967, 5, ‘3/23/2021’, null),
(968, 5, ‘1/30/2021’, ‘5/14/2022’),
(969, 8, ‘6/13/2021′, null),
(970, 10, ’11/2/2021’, ‘4/29/2021’),
(971, 7, ‘6/25/2022’, ‘4/5/2022′),
(972, 1, ’12/17/2022′, ’12/22/2021′),
(973, 4, ’11/18/2022’, ‘6/24/2021’),
(974, 3, ‘5/23/2021’, ‘9/11/2022’),
(975, 10, ‘6/30/2021′, null),
(976, 2, ’11/11/2022′, ’10/23/2022’),
(977, 6, ‘1/2/2021′, ’12/12/2021′),
(978, 8, ’10/16/2021’, null),
(979, 7, ‘6/20/2021′, null),
(980, 10, ’10/10/2021′, ’10/5/2022’),
(981, 2, ‘3/29/2022′, ’10/23/2021′),
(982, 1, ’12/20/2021’, null),
(983, 2, ‘7/6/2022’, null),
(984, 9, ‘4/5/2022’, ‘9/4/2021’),
(985, 10, ‘7/1/2021’, ‘6/24/2021′),
(986, 3, ’10/20/2021’, null),
(987, 5, ‘5/11/2021’, ‘5/15/2022′),
(988, 8, ’12/30/2021’, ‘6/11/2022’),
(989, 7, ‘9/20/2021’, null),
(990, 1, ‘4/19/2021’, ‘2/1/2022′),
(991, 9, ’10/4/2021’, ‘2/24/2021’),
(992, 3, ‘3/2/2021’, null),
(993, 5, ‘6/2/2021’, ‘5/21/2022’),
(994, 6, ‘3/8/2022′, ’11/12/2021′),
(995, 10, ’10/28/2022’, ‘9/11/2021′),
(996, 2, ’10/22/2022’, ‘3/25/2022’),
(997, 3, ‘3/20/2021′, ’12/22/2022’),
(998, 3, ‘3/15/2022’, ‘7/15/2021’),
(999, 2, ‘5/15/2022’, ‘5/29/2021’),
(1000, 8, ‘1/26/2021’, ‘6/24/2022’);

2022-10-20 00:40:42,186 INFO sqlalchemy.engine.Engine [raw sql] ()
2022-10-20 00:40:42,189 INFO sqlalchemy.engine.Engine COMMIT

RECUPERANDO OS DADOS DAS TABELAS

conn = engine.connect() #ABRIR CONEXÃO COM O BANCO DE DADOS
trans = conn.begin() #ABRIR TRANSAÇÃO PARA MANIPULAR OS DADOS

print(“######################## RECUPERANDO OS DADOS DOS FUNCIONARIOS ########################”)comando_sql = “””
SELECT * FROM funcionarios;
“””
funcionarios = conn.execute(comando_sql)

for f in funcionarios:
print(f)

print(“######################## RECUPERANDO OS DADOS DOS DEPARTAMENTOS ########################”)

comando_sql = “””
SELECT * FROM departamentos;
“””
departamentos = conn.execute(comando_sql)

for d in departamentos:
print(d)

print(“######################## RECUPERANDO OS DADOS DOS FUNCIONARIOS QUEM TRABALHAM NOS DEPARTAMENTOS ########################”)

comando_sql = “””
SELECT f.nome, f.idade, f.salario, d.nome, t.data_entrada, t.data_saida FROM trabalha as t JOIN funcionarios as f ON t.id_funcionario = f.id JOIN departamentos d ON t.id_departamento = d.id;
“””
trabalham = conn.execute(comando_sql)

for t in trabalham:
print(t)

trans.commit() #FECHAR A TRANSAÇÃO ABERTA ANTERIORMENTE PARA MANIPULAR OS DADOS
conn.close() #FECHAR A CONEXÃO COM O BANCO DE DADOS

2022-10-20 00:50:49,903 INFO sqlalchemy.engine.Engine BEGIN (implicit)
######################## RECUPERANDO OS DADOS DOS FUNCIONARIOS ########################
2022-10-20 00:50:49,905 INFO sqlalchemy.engine.Engine
SELECT * FROM funcionarios;2022-10-20 00:50:49,906 INFO sqlalchemy.engine.Engine [raw sql] ()
(1, ‘Hephzibah’, None, 38, 306.261)
(2, ‘Paxon’, None, 65, 428.725)
(3, ‘Corty’, None, 48, 198.27)
(4, ‘Hedy’, None, 46, 440.927)
(5, ‘Elyse’, None, 39, 480.426)
(6, ‘Ira’, None, 21, 186.163)
(7, ‘Mattias’, None, 43, 344.029)
(8, ‘Tybalt’, None, 57, 363.227)
(9, ‘Sully’, None, 40, 282.221)
(10, ‘Wrennie’, None, 41, 122.309)
(11, ‘Anatol’, None, 60, 176.018)
(12, ‘Craggie’, None, 69, 201.606)
(13, ‘Aila’, None, 20, 358.59)
(14, ‘Marylin’, None, 40, 163.559)
(15, ‘Moselle’, None, 48, 306.284)
(16, ‘Raleigh’, None, 23, 430.375)
(17, ‘Tracey’, None, 31, 109.874)
(18, ‘Olenolin’, None, 40, 190.977)
(19, ‘Myranda’, None, 49, 324.872)
(20, ‘Filberto’, None, 24, 362.89)
(21, ‘Calvin’, None, 37, 498.879)
(22, ‘Ravid’, None, 33, 329.84)
(23, ‘Valeria’, None, 61, 454.795)
(24, ‘Walsh’, None, 49, 222.983)
(25, ‘Tildy’, None, 26, 340.03)
(26, ‘Ozzie’, None, 28, 460.795)
(27, ‘Vassily’, None, 69, 461.507)
(28, ‘Chester’, None, 48, 228.136)
(29, ‘Drusy’, None, 65, 330.337)
(30, ‘Joshuah’, None, 36, 271.316)
(31, ‘Jessalyn’, None, 33, 435.451)
(32, ‘Hastings’, None, 67, 105.676)
(33, ‘Nichol’, None, 38, 209.852)
(34, ‘Callie’, None, 19, 261.095)
(35, ‘Efren’, None, 44, 149.052)
(36, ‘Omero’, None, 19, 430.706)
(37, ‘Aharon’, None, 65, 210.921)
(38, ‘Thedrick’, None, 19, 270.674)
(39, ‘Chiarra’, None, 27, 197.729)
(40, ‘Tani’, None, 18, 457.511)
(41, ‘Tanitansy’, None, 44, 174.833)
(42, ‘Griswold’, None, 47, 477.253)
(43, ‘Sandi’, None, 31, 188.89)
(44, ‘Harland’, None, 40, 447.03)
(45, ‘Debora’, None, 67, 393.019)
(46, ‘Randy’, None, 22, 281.047)
(47, ‘Annamarie’, None, 29, 160.797)
(48, ‘Ash’, None, 52, 131.195)
(49, ‘Kevon’, None, 21, 253.041)
(50, ‘Loria’, None, 68, 109.354)
(51, ‘Inessa’, None, 65, 187.908)
(52, ‘Gayle’, None, 66, 419.131)
(53, ‘Cleavland’, None, 56, 281.807)
(54, ‘Della’, None, 27, 443.801)
(55, ‘Theo’, None, 31, 211.841)
(56, ‘Emmalynn’, None, 23, 178.087)
(57, ‘Lenore’, None, 21, 167.761)
(58, ‘Sebastien’, None, 50, 212.595)
(59, ‘Maye’, None, 42, 157.183)
(60, ‘Adler’, None, 36, 125.511)
(61, ‘Indira’, None, 35, 455.862)
(62, ‘Griffith’, None, 54, 332.999)
(63, ‘Terri’, None, 20, 198.459)
(64, ‘Nevins’, None, 59, 478.889)
(65, ‘Gary’, None, 53, 173.63)
(66, ‘Gus’, None, 30, 338.104)
(67, ‘Giuseppe’, None, 61, 192.944)
(68, ‘Inna’, None, 19, 214.232)
(69, ‘Amanda’, None, 70, 347.533)
(70, ‘Vaughan’, None, 42, 339.797)
(71, ‘Aileen’, None, 65, 340.789)
(72, ‘Philippe’, None, 54, 218)
(73, ‘Hymie’, None, 43, 415.404)
(74, ‘Lindy’, None, 42, 339.442)
(75, ‘Bettina’, None, 52, 329.928)
(76, ‘Valdemar’, None, 49, 479.844)
(77, ‘Dominique’, None, 68, 478.001)
(78, ‘Jillane’, None, 62, 182.667)
(79, ‘Krystyna’, None, 34, 390.99)
(80, ‘Franklyn’, None, 18, 212.867)
(81, ‘Haywood’, None, 22, 307.16)
(82, ‘Hamnet’, None, 65, 160.588)
(83, ‘Silvie’, None, 22, 207.014)
(84, ‘Reider’, None, 46, 250.875)
(85, ‘Faustine’, None, 31, 341.601)
(86, ‘Aidan’, None, 60, 118.999)
(87, ‘Mirabelle’, None, 37, 399.88)
(88, ‘Gael’, None, 69, 210.08)
(89, ‘Jolene’, None, 42, 126.617)
(90, ‘Tabb’, None, 23, 125.177)
(91, ‘Della’, None, 33, 138.436)
(92, ‘Adiana’, None, 47, 320.703)
(93, ‘Brant’, None, 26, 470.602)
(94, ‘Jarred’, None, 62, 298.066)
(95, ‘Isabeau’, None, 43, 213.286)
(96, ‘Samson’, None, 53, 376.524)
(97, ‘Hill’, None, 18, 240.595)
(98, ‘Everett’, None, 56, 209.022)
(99, ‘Den’, None, 40, 287.707)
(100, ‘Conroy’, None, 19, 180.845)
(101, ‘Curt’, None, 38, 115.125)
(102, ‘Lacee’, None, 43, 446.607)
(103, ‘Valentina’, None, 68, 218.617)
(104, ‘Willabella’, None, 50, 266.203)
(105, ‘Catie’, None, 39, 314.167)
(106, ‘Ainslie’, None, 69, 482.091)
(107, ‘Rutger’, None, 50, 273.965)
(108, ‘Lyssa’, None, 55, 418.887)
(109, ‘Mahala’, None, 62, 454.605)
(110, ‘Lezley’, None, 22, 204.433)
(111, ‘Urban’, None, 56, 370.748)
(112, ‘Annice’, None, 63, 453.042)
(113, ‘Spencer’, None, 43, 226.196)
(114, ‘Dot’, None, 57, 450.624)
(115, ‘Dawn’, None, 57, 392.393)
(116, ‘Kipper’, None, 53, 243.837)
(117, ‘Harland’, None, 63, 302.217)
(118, ‘Kirby’, None, 41, 406.159)
(119, ‘Raye’, None, 26, 291.721)
(120, ‘Berget’, None, 45, 423.384)
(121, ‘Hobie’, None, 47, 186.007)
(122, ‘Francklin’, None, 59, 284.006)
(123, ‘Smitty’, None, 54, 273.56)
(124, ‘Nefen’, None, 42, 493.67)
(125, ‘Theodore’, None, 62, 132.44)
(126, ‘Marsiella’, None, 41, 110.863)
(127, ‘Alwyn’, None, 48, 473.699)
(128, ‘Alexei’, None, 24, 412.807)
(129, ‘Zaria’, None, 37, 230.695)
(130, ‘Doll’, None, 57, 269.332)
(131, ‘Ki’, None, 68, 405.171)
(132, ‘Deck’, None, 62, 200.996)
(133, ‘Lisette’, None, 59, 181.479)
(134, ‘Meggie’, None, 26, 177.731)
(135, ‘Merline’, None, 55, 418.238)
(136, ‘Siffre’, None, 36, 194.485)
(137, ‘Terrell’, None, 18, 439.512)
(138, ‘Hugues’, None, 56, 293.896)
(139, ‘Nikki’, None, 34, 399.623)
(140, ‘Valentijn’, None, 56, 218.529)
(141, ‘Margarette’, None, 24, 416.397)
(142, ‘Ursala’, None, 40, 145.621)
(143, ‘Karmen’, None, 53, 374.742)
(144, ‘Rozina’, None, 26, 482.856)
(145, ‘Clark’, None, 39, 495.927)
(146, ‘Winnah’, None, 19, 179)
(147, ‘Rhonda’, None, 43, 116.94)
(148, ‘Drusy’, None, 23, 135.594)
(149, ‘Foss’, None, 58, 178.494)
(150, ‘Hermine’, None, 60, 367.081)
(151, ‘Dell’, None, 48, 268.315)
(152, ‘Pierson’, None, 20, 429.18)
(153, ‘Katina’, None, 58, 317.815)
(154, ‘Damien’, None, 34, 213.981)
(155, ‘Frederique’, None, 63, 100.61)
(156, ‘Dulciana’, None, 51, 323.949)
(157, ‘Kanya’, None, 34, 349.71)
(158, ‘Lexy’, None, 36, 321.608)
(159, ‘Valry’, None, 26, 262.233)
(160, ‘Doe’, None, 68, 284.735)
(161, ‘Nannie’, None, 53, 261.205)
(162, ‘Monty’, None, 39, 269.844)
(163, ‘Gordie’, None, 67, 193.91)
(164, ‘Fredrika’, None, 64, 214.458)
(165, ‘Terry’, None, 56, 182.12)
(166, ‘Phebe’, None, 19, 104.299)
(167, ‘Cairistiona’, None, 55, 311.222)
(168, ‘Hogan’, None, 65, 449.963)
(169, ‘Jeniffer’, None, 37, 475.454)
(170, ‘Daisie’, None, 20, 192.547)
(171, ‘Nanny’, None, 26, 137.485)
(172, ‘Odille’, None, 46, 400.349)
(173, ‘Ave’, None, 34, 272.756)
(174, ‘Jefferey’, None, 60, 273.254)
(175, ‘Burr’, None, 40, 138.34)
(176, ‘Odey’, None, 70, 201.24)
(177, ‘Fairfax’, None, 42, 344.731)
(178, ‘Tad’, None, 36, 297.546)
(179, ‘Sansone’, None, 69, 381.81)
(180, ‘Lilah’, None, 45, 367.141)
(181, ‘Berton’, None, 39, 332.707)
(182, ‘Bernardo’, None, 68, 149.717)
(183, ‘Joeann’, None, 66, 287.338)
(184, ‘Clarke’, None, 29, 129.738)
(185, ‘Andras’, None, 40, 369.574)
(186, ‘Gabriele’, None, 70, 151.144)
(187, ‘Flor’, None, 66, 307.82)
(188, ‘Karylin’, None, 40, 238.075)
(189, ‘Marsh’, None, 58, 299.746)
(190, ‘Sigismund’, None, 70, 243.135)
(191, ‘Peirce’, None, 45, 280.845)
(192, ‘Baillie’, None, 48, 495.854)
(193, ‘Raddie’, None, 48, 435.531)
(194, ‘Humfrid’, None, 61, 370.754)
(195, ‘Eadmund’, None, 36, 310.677)
(196, ‘Kennie’, None, 54, 195.917)
(197, ‘Minnie’, None, 36, 350.209)
(198, ‘Vonny’, None, 54, 447.48)
(199, ‘Hildagarde’, None, 18, 279.594)
(200, ‘Vivien’, None, 26, 437.542)
(201, ‘Veronica’, None, 59, 214.691)
(202, ‘Bert’, None, 24, 402.584)
(203, ‘Silvester’, None, 23, 356.291)
(204, ‘Cole’, None, 23, 378.213)
(205, ‘Raphael’, None, 63, 337.65)
(206, ‘Paten’, None, 21, 415.936)
(207, ‘Nahum’, None, 51, 390.52)
(208, ‘Elset’, None, 64, 402.291)
(209, ‘Fax’, None, 30, 495.006)
(210, ‘Neile’, None, 30, 304.415)
(211, ‘Mariette’, None, 52, 368.595)
(212, ‘Cy’, None, 21, 176.253)
(213, ‘Samson’, None, 58, 416.701)
(214, ‘Hollyanne’, None, 68, 341.654)
(215, ‘Trina’, None, 53, 103.217)
(216, ‘Dylan’, None, 54, 360.017)
(217, ‘Barrie’, None, 20, 310.089)
(218, ‘Meggy’, None, 54, 144.638)
(219, ‘Alla’, None, 39, 451.404)
(220, ‘Gram’, None, 70, 204.231)
(221, ‘Zia’, None, 40, 429.518)
(222, ‘Audy’, None, 37, 428.554)
(223, ‘Vivyanne’, None, 22, 119.592)
(224, ‘Freddi’, None, 23, 461.84)
(225, ‘Lucinda’, None, 45, 487.863)
(226, ‘Tabor’, None, 60, 211.419)
(227, ‘Dale’, None, 44, 250.133)
(228, ‘Em’, None, 20, 106.474)
(229, ‘Ruthe’, None, 52, 479.67)
(230, ‘Marlowe’, None, 63, 165.062)
(231, ‘Nolly’, None, 45, 331.065)
(232, ‘Sinclare’, None, 44, 455.868)
(233, ‘Sharity’, None, 46, 335.093)
(234, ‘Gabbi’, None, 36, 285.275)
(235, ‘Ransell’, None, 45, 348.328)
(236, ‘Elke’, None, 34, 499.65)
(237, ‘Riki’, None, 52, 485.701)
(238, ‘Dagmar’, None, 33, 496.402)
(239, ‘Jimmie’, None, 27, 103.936)
(240, ‘Haze’, None, 31, 422.859)
(241, ‘Karoly’, None, 59, 104.004)
(242, ‘Libby’, None, 38, 288.982)
(243, ‘Garvey’, None, 70, 143.045)
(244, ‘Aguste’, None, 47, 116.48)
(245, ‘Holden’, None, 23, 211.504)
(246, ‘Ase’, None, 21, 467.578)
(247, ‘Ruprecht’, None, 18, 185.174)
(248, ‘Zorine’, None, 24, 484.04)
(249, ‘Celia’, None, 59, 188.485)
(250, ‘Rosemaria’, None, 48, 468.76)
(251, ‘Hermann’, None, 59, 147.332)
(252, ‘Cherie’, None, 55, 378.569)
(253, ‘Nicolas’, None, 20, 220.722)
(254, ‘Dalenna’, None, 45, 484.842)
(255, ‘Katrina’, None, 46, 314.927)
(256, ‘Carmine’, None, 42, 413.981)
(257, ‘Brana’, None, 59, 278.751)
(258, ‘Dominic’, None, 46, 296.977)
(259, ‘Margeaux’, None, 66, 322.981)
(260, ‘Tera’, None, 56, 177.97)
(261, ‘Salvador’, None, 70, 419.773)
(262, ‘Angelita’, None, 34, 300.101)
(263, ‘Nana’, None, 61, 361.234)
(264, ‘Jena’, None, 28, 446.782)
(265, ‘Cecilio’, None, 58, 496.735)
(266, ‘Free’, None, 53, 315.526)
(267, ‘Pancho’, None, 69, 491.235)
(268, ‘Damaris’, None, 63, 128.535)
(269, ‘Liuka’, None, 43, 301.944)
(270, ‘Carlotta’, None, 67, 339.595)
(271, ‘Geno’, None, 32, 224.063)
(272, ‘Abbe’, None, 31, 388.741)
(273, ‘Isak’, None, 65, 277.879)
(274, ‘Charlie’, None, 47, 147.348)
(275, ‘Maribeth’, None, 62, 182.92)
(276, ‘Hussein’, None, 27, 451.214)
(277, ‘Valene’, None, 63, 341.54)
(278, ‘Josie’, None, 44, 392.928)
(279, ‘Madonna’, None, 69, 167.313)
(280, ‘Carolann’, None, 63, 156.511)
(281, ‘Sindee’, None, 42, 336.273)
(282, ‘Geoff’, None, 24, 460.948)
(283, ‘Saree’, None, 51, 136.93)
(284, ‘Rodrigo’, None, 36, 491.018)
(285, ‘Basilio’, None, 20, 296.263)
(286, ‘Arch’, None, 30, 134.986)
(287, ‘Dania’, None, 18, 307.369)
(288, ‘Camel’, None, 30, 133.254)
(289, ‘Gilligan’, None, 59, 194.957)
(290, ‘Shina’, None, 35, 225.006)
(291, ‘Olly’, None, 49, 104.654)
(292, ‘Nanice’, None, 25, 194.673)
(293, ‘Therese’, None, 39, 485.183)
(294, ‘Levy’, None, 39, 400.245)
(295, ‘Charmain’, None, 64, 196.884)
(296, ‘Stephanie’, None, 18, 392.283)
(297, ‘Keeley’, None, 38, 299.179)
(298, ‘Lorie’, None, 59, 280.21)
(299, ‘Tonia’, None, 21, 193.782)
(300, ‘Ruthie’, None, 66, 480.053)
(301, ‘Muire’, None, 46, 326.472)
(302, ‘Tiffany’, None, 67, 297.019)
(303, ‘Aryn’, None, 19, 395.885)
(304, ‘Elisha’, None, 67, 386.202)
(305, ‘Willamina’, None, 45, 428.558)
(306, ‘Ario’, None, 48, 305.467)
(307, ‘Jacintha’, None, 66, 441.641)
(308, ‘Debra’, None, 40, 121.626)
(309, ‘Tomlin’, None, 48, 397.828)
(310, ‘Orelia’, None, 67, 193.519)
(311, ‘Dag’, None, 54, 316.986)
(312, ‘Donnie’, None, 30, 137.869)
(313, ‘Gallard’, None, 55, 422.403)
(314, ‘Dukey’, None, 49, 335.619)
(315, ‘Hobart’, None, 53, 247.518)
(316, ‘Wilfrid’, None, 42, 348.686)
(317, ‘Harold’, None, 28, 356.393)
(318, ‘Keven’, None, 28, 135.521)
(319, ‘Emmeline’, None, 34, 419.088)
(320, ‘Rozele’, None, 52, 195.181)
(321, ‘Stearn’, None, 22, 340.914)
(322, ‘Wain’, None, 51, 231.005)
(323, ‘Lizabeth’, None, 33, 299.755)
(324, ‘Mattias’, None, 56, 208.941)
(325, ‘Phil’, None, 20, 453.664)
(326, ‘Vladamir’, None, 24, 108.759)
(327, ‘Charo’, None, 67, 428.457)
(328, ‘Schuyler’, None, 69, 418.62)
(329, ‘Cammi’, None, 53, 496.175)
(330, ‘Louie’, None, 26, 475.382)
(331, ‘Seline’, None, 48, 207.226)
(332, ‘Byron’, None, 48, 321.657)
(333, ‘Matty’, None, 24, 251.926)
(334, ‘Walt’, None, 31, 369.02)
(335, ‘Natal’, None, 64, 340.942)
(336, ‘Rebecca’, None, 49, 418.515)
(337, ‘Vincenty’, None, 42, 498.821)
(338, ‘Ertha’, None, 37, 187.843)
(339, ‘Sheffy’, None, 29, 416.712)
(340, ‘Tanney’, None, 51, 120.588)
(341, ‘Morly’, None, 22, 415.127)
(342, ‘Issi’, None, 66, 295.236)
(343, ‘Mata’, None, 61, 294.383)
(344, ‘Normand’, None, 45, 111.98)
(345, ‘Edgardo’, None, 69, 404.059)
(346, ‘Shae’, None, 32, 494.039)
(347, ‘Katie’, None, 35, 196.1)
(348, ‘Sigismond’, None, 50, 247.62)
(349, ‘Emerson’, None, 45, 229.67)
(350, ‘Pegeen’, None, 69, 118.719)
(351, ‘Jedidiah’, None, 22, 456.459)
(352, ‘Robinson’, None, 59, 121.278)
(353, ‘Natalya’, None, 66, 219.474)
(354, ‘Wilhelmina’, None, 54, 225.523)
(355, ‘Torrie’, None, 53, 480.341)
(356, ‘Sharron’, None, 57, 238.622)
(357, ‘Cammie’, None, 61, 121.465)
(358, ‘Ana’, None, 37, 183.229)
(359, ‘Willy’, None, 32, 173.536)
(360, ‘Shellie’, None, 63, 464.418)
(361, ‘Venus’, None, 30, 354.231)
(362, ‘Jeana’, None, 43, 189.858)
(363, ‘Jaimie’, None, 40, 412.73)
(364, ‘Katerine’, None, 23, 164.376)
(365, ‘Cobbie’, None, 49, 242.872)
(366, ‘Albertina’, None, 43, 458.584)
(367, ‘Keriann’, None, 62, 285.133)
(368, ‘Shelbi’, None, 66, 482.851)
(369, ‘Kate’, None, 43, 377.503)
(370, ‘Angeli’, None, 67, 402.659)
(371, ‘Fidole’, None, 28, 476.645)
(372, ‘Imelda’, None, 33, 319.092)
(373, ‘Cletis’, None, 59, 190.628)
(374, ‘Ellissa’, None, 70, 374.109)
(375, ‘Yulma’, None, 39, 175.63)
(376, ‘Francene’, None, 43, 169.168)
(377, ‘Ethe’, None, 29, 153.766)
(378, ‘Alfons’, None, 21, 218.048)
(379, ‘Leanna’, None, 20, 428.724)
(380, ‘Genny’, None, 47, 319.854)
(381, ‘Wyn’, None, 46, 173.171)
(382, ‘Ossie’, None, 46, 354.056)
(383, ‘Opaline’, None, 34, 410.943)
(384, ‘Joscelin’, None, 49, 151.695)
(385, ‘Mireille’, None, 32, 438.1)
(386, ‘Jackqueline’, None, 36, 112.426)
(387, ‘Cicily’, None, 49, 368.731)
(388, ‘Tasha’, None, 29, 255.632)
(389, ‘Annabell’, None, 26, 283.482)
(390, ‘Obed’, None, 52, 278.922)
(391, ‘Guillermo’, None, 61, 205.995)
(392, ‘Cynthy’, None, 39, 400.043)
(393, ‘Tawnya’, None, 21, 353.038)
(394, ‘Jojo’, None, 41, 401.974)
(395, ‘Cyrus’, None, 36, 188.259)
(396, ‘Catlaina’, None, 58, 126.276)
(397, ‘Zared’, None, 34, 299.964)
(398, ‘Elijah’, None, 32, 325.757)
(399, ‘Tildie’, None, 61, 163.909)
(400, ‘Ludwig’, None, 33, 264.083)
(401, ‘Arda’, None, 39, 147.643)
(402, ‘Roxanne’, None, 70, 126.342)
(403, ‘Letti’, None, 54, 464.082)
(404, ‘Adolf’, None, 67, 352.255)
(405, ‘Sibyl’, None, 30, 311.861)
(406, ‘Bunni’, None, 70, 379.805)
(407, ‘Roseanna’, None, 55, 330.71)
(408, ‘Kalie’, None, 38, 375.397)
(409, ‘Emelia’, None, 41, 150.431)
(410, ‘Sile’, None, 46, 470.745)
(411, ‘Sharl’, None, 49, 165.368)
(412, ‘Magdalene’, None, 43, 303.063)
(413, ‘Pincas’, None, 55, 207.538)
(414, ‘Maury’, None, 39, 403.952)
(415, ‘Drusi’, None, 68, 257.472)
(416, ‘Shaun’, None, 48, 435.987)
(417, ‘Liana’, None, 48, 322.006)
(418, ‘Wallache’, None, 56, 251.172)
(419, ‘Dorrie’, None, 30, 306.222)
(420, ‘Rurik’, None, 43, 131.947)
(421, ‘Charline’, None, 58, 495.058)
(422, ‘Sunny’, None, 56, 393.458)
(423, ‘Renata’, None, 68, 283.555)
(424, ‘Emelda’, None, 20, 151.664)
(425, ‘Dmitri’, None, 41, 406.272)
(426, ‘Tessi’, None, 31, 395.391)
(427, ‘Candis’, None, 68, 243.283)
(428, ‘Ivy’, None, 41, 401.534)
(429, ‘Alikee’, None, 67, 255.268)
(430, ‘Lisa’, None, 65, 368.079)
(431, ‘Aveline’, None, 45, 196.051)
(432, ‘Dorree’, None, 51, 252.268)
(433, ‘Carver’, None, 44, 351.166)
(434, ‘Berton’, None, 34, 465.204)
(435, ‘Lia’, None, 18, 322.142)
(436, ‘Terrye’, None, 37, 170.752)
(437, ‘Erroll’, None, 56, 312.139)
(438, ‘Auroora’, None, 59, 142.584)
(439, ‘Huberto’, None, 44, 263.814)
(440, ‘Anestassia’, None, 49, 345.663)
(441, ‘Vassily’, None, 57, 199.565)
(442, ‘Hildegaard’, None, 59, 150.297)
(443, ‘Tobin’, None, 51, 127.724)
(444, ‘Son’, None, 70, 380.024)
(445, ‘Franni’, None, 44, 343.635)
(446, ‘Emmalynn’, None, 23, 202.094)
(447, ‘Casandra’, None, 52, 375.737)
(448, ‘Gayelord’, None, 41, 244.661)
(449, ‘Denna’, None, 40, 293.492)
(450, ‘Winna’, None, 33, 486.075)
(451, ‘Jedd’, None, 32, 365.908)
(452, ‘Xenia’, None, 20, 182.196)
(453, ‘Brinna’, None, 49, 213.682)
(454, ‘Barnett’, None, 20, 480.262)
(455, ‘Pollyanna’, None, 38, 343.567)
(456, ‘Alwin’, None, 58, 164.022)
(457, ‘Lindy’, None, 31, 406.932)
(458, ‘Mariejeanne’, None, 46, 435.732)
(459, ‘Nana’, None, 41, 439.955)
(460, ‘Rosana’, None, 22, 245.171)
(461, ‘Ozzy’, None, 36, 216.219)
(462, ‘Sayer’, None, 20, 417.541)
(463, ‘Deonne’, None, 32, 328.319)
(464, ‘Alan’, None, 27, 149.461)
(465, ‘Archy’, None, 57, 365.717)
(466, ‘Millie’, None, 59, 443.907)
(467, ‘Carter’, None, 24, 106.936)
(468, ‘Klarrisa’, None, 35, 373.659)
(469, ‘Selie’, None, 64, 273.108)
(470, ‘Melany’, None, 65, 212.662)
(471, ‘Eleni’, None, 34, 274.088)
(472, ‘Kimble’, None, 28, 448.475)
(473, ‘Lib’, None, 27, 252.936)
(474, ‘Niall’, None, 21, 431.723)
(475, ‘Jeth’, None, 19, 219.779)
(476, ‘Georgie’, None, 40, 421.954)
(477, ‘Georas’, None, 66, 150.771)
(478, ‘Bern’, None, 20, 489.96)
(479, ‘Fredi’, None, 51, 276.85)
(480, ‘Paulo’, None, 28, 299.113)
(481, ‘Doy’, None, 62, 352.355)
(482, ‘Floris’, None, 30, 460.551)
(483, ‘Clementia’, None, 41, 248.641)
(484, ‘Sim’, None, 40, 132.321)
(485, ‘Carolyne’, None, 25, 172.49)
(486, ‘Elsi’, None, 22, 141.319)
(487, ‘Gelya’, None, 62, 473.489)
(488, ‘Hadrian’, None, 67, 135.401)
(489, ‘Donnamarie’, None, 53, 470.884)
(490, ‘Killy’, None, 33, 355.302)
(491, ‘Waite’, None, 55, 438.966)
(492, ‘Isaiah’, None, 49, 247.853)
(493, ‘Cosmo’, None, 70, 180.049)
(494, ‘Hirsch’, None, 33, 232.396)
(495, ‘Sawyere’, None, 52, 398.201)
(496, ‘Linnea’, None, 57, 178.029)
(497, ‘Brok’, None, 57, 392.566)
(498, ‘Salli’, None, 28, 165.264)
(499, ‘Padgett’, None, 41, 214.548)
(500, ‘Caren’, None, 40, 320.673)
(501, ‘Brita’, None, 42, 245.365)
(502, ‘Traver’, None, 18, 277.556)
(503, ‘Leandra’, None, 48, 306.646)
(504, ‘Nina’, None, 47, 312.212)
(505, ‘Marjorie’, None, 22, 327.256)
(506, ‘Rhea’, None, 20, 114.225)
(507, ‘Godiva’, None, 25, 487.819)
(508, ‘Deidre’, None, 39, 279.143)
(509, ‘Farra’, None, 48, 453.426)
(510, ‘Jedediah’, None, 48, 161.34)
(511, ‘Trefor’, None, 43, 228.842)
(512, ‘Mortie’, None, 65, 245.214)
(513, ‘Neils’, None, 30, 415.986)
(514, ‘Spike’, None, 57, 135.976)
(515, ‘Gussi’, None, 47, 178.608)
(516, ‘Faith’, None, 28, 365.493)
(517, ‘Janis’, None, 32, 276.658)
(518, ‘Anallese’, None, 59, 327.945)
(519, ‘Jakie’, None, 50, 123.571)
(520, ‘Thaxter’, None, 53, 160.702)
(521, ‘Jessy’, None, 53, 130.465)
(522, ‘Lilah’, None, 67, 113.936)
(523, ‘Carlie’, None, 49, 326.614)
(524, ‘Lottie’, None, 50, 202.99)
(525, ‘Dilan’, None, 30, 175.845)
(526, ‘Val’, None, 19, 128.028)
(527, ‘Kimmy’, None, 25, 428.284)
(528, ‘Caesar’, None, 59, 106.982)
(529, ‘Riva’, None, 29, 158.355)
(530, ‘Delila’, None, 51, 451.661)
(531, ‘Syd’, None, 62, 455.312)
(532, ‘Guinevere’, None, 23, 250.804)
(533, ‘Ellerey’, None, 34, 232.701)
(534, ‘Grover’, None, 29, 310.923)
(535, ‘Tabbie’, None, 27, 199.39)
(536, ‘Tybie’, None, 19, 417.827)
(537, ‘Dolorita’, None, 48, 104.817)
(538, ‘Troy’, None, 48, 454.332)
(539, ‘Aurelie’, None, 65, 174.642)
(540, ‘Maible’, None, 47, 332.634)
(541, ‘Lorettalorna’, None, 70, 224.176)
(542, ‘Marci’, None, 30, 215.283)
(543, ‘Hallsy’, None, 18, 194.813)
(544, ‘Arte’, None, 18, 250.132)
(545, ‘Bell’, None, 65, 290.192)
(546, ‘Cheri’, None, 29, 409.6)
(547, ‘Celie’, None, 49, 430.086)
(548, ‘Chelsy’, None, 49, 420.044)
(549, ‘Lucien’, None, 24, 265.666)
(550, ‘Tiebout’, None, 30, 312.637)
(551, ‘Tamarah’, None, 64, 305.288)
(552, ‘Rubia’, None, 52, 201.68)
(553, ‘Jo’, None, 24, 377.677)
(554, ‘Britni’, None, 66, 372.197)
(555, ‘Kalie’, None, 55, 181.718)
(556, ‘Ferrel’, None, 65, 408.981)
(557, ‘Rafaela’, None, 46, 468.071)
(558, ‘Hayyim’, None, 21, 144.843)
(559, ‘Abigael’, None, 35, 155.875)
(560, ‘Mollie’, None, 23, 286.605)
(561, ‘Justinn’, None, 37, 471.629)
(562, ‘Vance’, None, 65, 378.242)
(563, ‘Lenora’, None, 37, 182.328)
(564, ‘Rice’, None, 18, 154.699)
(565, ‘Perice’, None, 31, 167.284)
(566, ‘Farah’, None, 69, 437.996)
(567, ‘Dane’, None, 55, 294.751)
(568, ‘Oran’, None, 57, 265.066)
(569, ‘Staffard’, None, 50, 249.151)
(570, ‘Doyle’, None, 57, 170.44)
(571, ‘Carlin’, None, 29, 134.856)
(572, ‘Bing’, None, 44, 386.291)
(573, ‘Tonya’, None, 69, 267.067)
(574, ‘Natty’, None, 61, 149.945)
(575, ‘Wynny’, None, 46, 187.978)
(576, ‘Mose’, None, 60, 461.852)
(577, ‘Raoul’, None, 68, 489.17)
(578, ‘Petronella’, None, 34, 134.833)
(579, ‘Charmane’, None, 44, 338.526)
(580, ‘Ikey’, None, 60, 198.66)
(581, ‘Farley’, None, 20, 333.503)
(582, ‘Emmey’, None, 38, 379.347)
(583, ‘Alexi’, None, 39, 438.641)
(584, ‘Aylmar’, None, 67, 314.214)
(585, ‘Gaspard’, None, 26, 430.281)
(586, ‘Vic’, None, 35, 292.143)
(587, ‘Norbie’, None, 38, 232.792)
(588, ‘Geoffrey’, None, 43, 386.832)
(589, ‘Odey’, None, 68, 362.247)
(590, ‘Dynah’, None, 69, 332.305)
(591, ‘Terri’, None, 36, 319.398)
(592, ‘Aksel’, None, 53, 123.042)
(593, ‘Celestyn’, None, 33, 358.71)
(594, ‘Bebe’, None, 51, 195.663)
(595, ‘Wayne’, None, 37, 280.093)
(596, ‘Babbie’, None, 65, 337.282)
(597, ‘Kenyon’, None, 51, 406.248)
(598, ‘Samaria’, None, 23, 411.439)
(599, ‘Tomlin’, None, 30, 443.063)
(600, ‘Lusa’, None, 29, 188.391)
(601, ‘Wilfred’, None, 53, 449.962)
(602, ‘Teador’, None, 64, 380.263)
(603, ‘Kittie’, None, 64, 403.729)
(604, ‘Ceil’, None, 68, 397.757)
(605, ‘Remington’, None, 35, 111.449)
(606, ‘Ibrahim’, None, 66, 465.94)
(607, ‘Gallagher’, None, 45, 220.304)
(608, ‘Darn’, None, 21, 188.884)
(609, ‘Keith’, None, 54, 449.016)
(610, ‘Vite’, None, 37, 458.92)
(611, ‘Danny’, None, 30, 393.273)
(612, ‘Germain’, None, 43, 236.275)
(613, ‘Billie’, None, 19, 370.135)
(614, ‘Ronald’, None, 53, 141.934)
(615, ‘Manfred’, None, 34, 478.892)
(616, ‘Lori’, None, 57, 278.196)
(617, ‘Burch’, None, 24, 130.463)
(618, ‘Tulley’, None, 56, 425.66)
(619, ‘Katee’, None, 69, 208.888)
(620, ‘Quillan’, None, 50, 444.74)
(621, ‘Farrand’, None, 53, 392.191)
(622, ‘Meridith’, None, 56, 233.137)
(623, ‘Daniel’, None, 45, 407.86)
(624, ‘Lionel’, None, 28, 327.184)
(625, ‘Karola’, None, 63, 493.706)
(626, ‘Adriano’, None, 19, 223.546)
(627, ‘Reece’, None, 62, 115.507)
(628, ‘Garey’, None, 35, 303.748)
(629, ‘Jenny’, None, 26, 468.826)
(630, ‘Monte’, None, 65, 120.527)
(631, ‘Raymund’, None, 33, 120.983)
(632, ‘Derk’, None, 57, 434.31)
(633, ‘Mariel’, None, 42, 167.806)
(634, ‘Sean’, None, 24, 268.808)
(635, ‘Cissiee’, None, 44, 113.543)
(636, ‘Gavra’, None, 51, 447.91)
(637, ‘Logan’, None, 34, 249.245)
(638, ‘Romona’, None, 59, 250.856)
(639, ‘Cristabel’, None, 52, 126.84)
(640, ‘Hadrian’, None, 40, 464.279)
(641, ‘Else’, None, 22, 429.886)
(642, ‘Francyne’, None, 69, 146.005)
(643, ‘Allix’, None, 24, 315.057)
(644, ‘Francyne’, None, 66, 301.152)
(645, ‘Richy’, None, 65, 275.431)
(646, ‘Yasmin’, None, 42, 127.627)
(647, ‘Cos’, None, 19, 474.714)
(648, ‘Josie’, None, 57, 177.558)
(649, ‘Cordelie’, None, 40, 292.653)
(650, ‘Selia’, None, 30, 296.638)
(651, ‘Clive’, None, 37, 172.261)
(652, ‘Wilhelmina’, None, 35, 237.175)
(653, ‘Cori’, None, 22, 482.748)
(654, ‘Tabor’, None, 34, 264.644)
(655, ‘Tom’, None, 18, 485.83)
(656, ‘Emlynne’, None, 35, 354.899)
(657, ‘Tony’, None, 70, 249.123)
(658, ‘Joann’, None, 46, 413.478)
(659, ‘Gae’, None, 67, 250.508)
(660, ‘Aldis’, None, 43, 332.876)
(661, ‘Carline’, None, 63, 489.038)
(662, ‘Consalve’, None, 30, 351.625)
(663, ‘Dela’, None, 60, 250.486)
(664, ‘Joanie’, None, 56, 207.333)
(665, ‘Tait’, None, 18, 335.13)
(666, ‘Sanderson’, None, 56, 210.211)
(667, ‘Othilie’, None, 70, 141.26)
(668, ‘Archibold’, None, 65, 342.863)
(669, ‘Lezley’, None, 43, 348.897)
(670, ‘Thea’, None, 19, 353.974)
(671, ‘Ambrosio’, None, 51, 427.106)
(672, ‘Nikolaos’, None, 19, 334.013)
(673, ‘Legra’, None, 53, 253.075)
(674, ‘Angelita’, None, 26, 368.875)
(675, ‘Fletcher’, None, 19, 427.274)
(676, ‘Jacquelynn’, None, 54, 119.535)
(677, ‘Clarke’, None, 25, 422.298)
(678, ‘Kiele’, None, 57, 152.117)
(679, ‘Charmane’, None, 19, 186.62)
(680, ‘Thor’, None, 34, 202.655)
(681, ‘Brittne’, None, 33, 453.235)
(682, ‘Rahel’, None, 41, 400.402)
(683, ‘Bent’, None, 61, 360.946)
(684, ‘Gwen’, None, 62, 125.852)
(685, ‘Elicia’, None, 22, 172.569)
(686, ‘Annnora’, None, 62, 162.313)
(687, ‘Elsbeth’, None, 54, 248.385)
(688, ‘Friedrich’, None, 18, 396.65)
(689, ‘Samuel’, None, 58, 113.77)
(690, ‘Clive’, None, 32, 220.777)
(691, ‘Gwenette’, None, 57, 111.442)
(692, ‘Maddy’, None, 51, 476.989)
(693, ‘Staford’, None, 34, 256.308)
(694, ‘Casey’, None, 23, 166.121)
(695, ‘Idette’, None, 49, 190.696)
(696, ‘Micheal’, None, 40, 415.466)
(697, ‘Ernaline’, None, 46, 451.11)
(698, ‘Brody’, None, 25, 183.205)
(699, ‘Tisha’, None, 63, 142.737)
(700, ‘Ginger’, None, 29, 379.151)
(701, ‘Wittie’, None, 63, 463.17)
(702, ‘Nadeen’, None, 56, 220.406)
(703, ‘Katti’, None, 69, 343.331)
(704, ‘Francoise’, None, 58, 224.467)
(705, ‘Herculie’, None, 58, 399.656)
(706, ‘Reinwald’, None, 43, 204.384)
(707, ‘Nobe’, None, 27, 194.413)
(708, ‘Alix’, None, 55, 231.651)
(709, ‘Boyce’, None, 19, 324.769)
(710, ‘Conrad’, None, 20, 172.906)
(711, ‘Julian’, None, 21, 297.974)
(712, ‘Rosalinda’, None, 58, 158.883)
(713, ‘Mallorie’, None, 48, 243.279)
(714, ‘Roseanne’, None, 68, 366.423)
(715, ‘Cristie’, None, 43, 316.797)
(716, ‘Carrissa’, None, 47, 445.837)
(717, ‘Tommie’, None, 30, 426.07)
(718, ‘Rosanna’, None, 19, 322.119)
(719, ‘Carce’, None, 21, 437.952)
(720, ‘Katrina’, None, 61, 168.691)
(721, ‘Eliza’, None, 28, 170.839)
(722, ‘Rainer’, None, 26, 138.766)
(723, ‘Riva’, None, 42, 226.12)
(724, ‘Alisander’, None, 31, 358.071)
(725, ‘Lezlie’, None, 28, 186.507)
(726, ‘Inge’, None, 64, 471.435)
(727, ‘Roby’, None, 27, 200.064)
(728, ‘Sterling’, None, 57, 260.591)
(729, ‘Tann’, None, 30, 419.634)
(730, ‘Cathlene’, None, 50, 216.862)
(731, ‘Brander’, None, 62, 244.769)
(732, ‘Ursa’, None, 52, 451.578)
(733, ‘Brianne’, None, 41, 432.015)
(734, ‘Tatiana’, None, 52, 134.633)
(735, ‘Sylvia’, None, 58, 315.133)
(736, ‘Francene’, None, 24, 320.125)
(737, ‘Jamal’, None, 46, 428.368)
(738, ‘Shae’, None, 53, 171.089)
(739, ‘Elladine’, None, 24, 131.716)
(740, ‘Claybourne’, None, 70, 316.378)
(741, ‘Bondy’, None, 40, 474.144)
(742, ‘Engelbert’, None, 54, 470.737)
(743, ‘Jillene’, None, 30, 212.933)
(744, ‘Aila’, None, 31, 469.689)
(745, ‘Riobard’, None, 36, 319.928)
(746, ‘Cirillo’, None, 34, 307.498)
(747, ‘Michaelina’, None, 35, 256.505)
(748, ‘Lilyan’, None, 23, 441.286)
(749, ‘Mervin’, None, 44, 130.357)
(750, ‘Tomlin’, None, 47, 122.442)
(751, ‘Bridget’, None, 59, 216.833)
(752, ‘Gladys’, None, 35, 431.309)
(753, ‘Rosanna’, None, 61, 117.253)
(754, ‘Faulkner’, None, 35, 355.958)
(755, ‘Fleurette’, None, 60, 192.383)
(756, ‘Locke’, None, 64, 231.571)
(757, ‘Aline’, None, 43, 492.691)
(758, ‘Charlie’, None, 65, 440.178)
(759, ‘Latisha’, None, 27, 194.694)
(760, ‘Vale’, None, 31, 246.608)
(761, ‘Georgena’, None, 50, 379.445)
(762, ‘Meridith’, None, 50, 146.624)
(763, ‘Talya’, None, 62, 390.882)
(764, ‘Mathilda’, None, 52, 364.019)
(765, ‘Rolando’, None, 53, 137.133)
(766, ‘Lusa’, None, 26, 159.902)
(767, ‘Talya’, None, 24, 100.35)
(768, ‘Vera’, None, 19, 481.757)
(769, ‘Amelie’, None, 54, 184.047)
(770, ‘Padraic’, None, 19, 220.796)
(771, ‘Pamelina’, None, 57, 468.096)
(772, ‘Fawne’, None, 65, 281.203)
(773, ‘Nelle’, None, 36, 489.435)
(774, ‘Kata’, None, 59, 409.717)
(775, ‘Alica’, None, 54, 259.511)
(776, ‘Cecilius’, None, 47, 495.158)
(777, ‘Jewel’, None, 53, 316.013)
(778, ‘Ruby’, None, 66, 473.778)
(779, ‘Orella’, None, 30, 345.865)
(780, ‘Saba’, None, 68, 292.235)
(781, ‘Joannes’, None, 21, 226.345)
(782, ‘Vi’, None, 29, 113.652)
(783, ‘Boonie’, None, 56, 417.701)
(784, ‘Amery’, None, 42, 127.657)
(785, ‘Max’, None, 54, 331.876)
(786, ‘Stephan’, None, 48, 153.239)
(787, ‘Jaynell’, None, 55, 362.447)
(788, ‘Leighton’, None, 27, 470.42)
(789, ‘Thom’, None, 44, 492.019)
(790, ‘Eirena’, None, 23, 401.468)
(791, ‘Rodina’, None, 62, 427.092)
(792, ‘Valerie’, None, 39, 481.518)
(793, ‘Kimberley’, None, 51, 122.395)
(794, ‘Roldan’, None, 68, 237.815)
(795, ‘Ida’, None, 67, 442.141)
(796, ‘Cooper’, None, 58, 388.585)
(797, ‘Olivette’, None, 64, 152.415)
(798, ‘Marketa’, None, 24, 230.299)
(799, ‘Heather’, None, 19, 460.499)
(800, ‘Bear’, None, 63, 362.549)
(801, ‘Annice’, None, 63, 155.804)
(802, ‘Kelcie’, None, 70, 454.782)
(803, ‘Sarah’, None, 53, 118.344)
(804, ‘Orella’, None, 28, 157.033)
(805, ‘Shane’, None, 34, 414.571)
(806, ‘Phillis’, None, 30, 189.799)
(807, ‘Jeni’, None, 60, 384.159)
(808, ‘Gertruda’, None, 53, 103.587)
(809, ‘Violet’, None, 44, 467.582)
(810, ‘Dacey’, None, 39, 279.759)
(811, ‘Brande’, None, 25, 286.343)
(812, ‘Giuditta’, None, 22, 275.292)
(813, ‘Quintus’, None, 47, 106.727)
(814, ‘Percival’, None, 69, 454.619)
(815, ‘Gordie’, None, 42, 457.543)
(816, ‘Morganica’, None, 36, 438.114)
(817, ‘Tani’, None, 47, 383.36)
(818, ‘Den’, None, 29, 303.954)
(819, ‘Ronnie’, None, 39, 358.125)
(820, ‘Tierney’, None, 35, 478.559)
(821, ‘Dorri’, None, 21, 365.265)
(822, ‘Brian’, None, 35, 264.755)
(823, ‘Alexine’, None, 35, 218.977)
(824, ‘Lynelle’, None, 64, 462.235)
(825, ‘Ches’, None, 54, 480.93)
(826, ‘Revkah’, None, 38, 403.663)
(827, ‘Seward’, None, 62, 212.875)
(828, ‘Emmit’, None, 37, 217.017)
(829, ‘Brittani’, None, 40, 450.639)
(830, ‘Gearard’, None, 36, 105.18)
(831, ‘Eugenie’, None, 41, 122.338)
(832, ‘Sholom’, None, 21, 255.798)
(833, ‘Brandy’, None, 56, 145.884)
(834, ‘Ulla’, None, 21, 153.604)
(835, ‘Ninnette’, None, 41, 458.055)
(836, ‘Hedvige’, None, 53, 122.241)
(837, ‘Barnie’, None, 36, 480.085)
(838, ‘Ailyn’, None, 50, 394.694)
(839, ‘Rickert’, None, 37, 409.342)
(840, ‘Avram’, None, 33, 288.949)
(841, ‘Marlene’, None, 35, 470.483)
(842, ‘Arte’, None, 51, 116.834)
(843, ‘Lonna’, None, 58, 205.345)
(844, ‘Bartel’, None, 37, 307.788)
(845, ‘Davina’, None, 66, 203.463)
(846, ‘Kirby’, None, 51, 128.238)
(847, ‘Mada’, None, 18, 351.758)
(848, ‘Toby’, None, 53, 477.661)
(849, ‘Hobie’, None, 43, 118.832)
(850, ‘Casey’, None, 61, 399.091)
(851, ‘Daryl’, None, 51, 103.977)
(852, ‘Minette’, None, 54, 473.023)
(853, ‘Avrom’, None, 42, 276.127)
(854, ‘Wilma’, None, 50, 356.835)
(855, ‘Vaughn’, None, 64, 101.039)
(856, ‘Claudette’, None, 59, 391.146)
(857, ‘Gray’, None, 66, 128.468)
(858, ‘Gasparo’, None, 64, 390.352)
(859, ‘Roderigo’, None, 40, 254.946)
(860, ‘Tabbi’, None, 26, 202.086)
(861, ‘Berne’, None, 21, 284.261)
(862, ‘Alasdair’, None, 47, 242.11)
(863, ‘Alessandro’, None, 64, 276.317)
(864, ‘Simon’, None, 32, 364.418)
(865, ‘Tanitansy’, None, 27, 429.578)
(866, ‘Valeria’, None, 29, 383.718)
(867, ‘Olivero’, None, 51, 444.631)
(868, ‘Hamil’, None, 64, 408.172)
(869, ‘Quintana’, None, 46, 186.659)
(870, ‘Alfons’, None, 20, 144.748)
(871, ‘Melli’, None, 63, 320.272)
(872, ‘Rochelle’, None, 31, 250.846)
(873, ‘Jeane’, None, 62, 393.221)
(874, ‘Madeleine’, None, 37, 484.576)
(875, ‘Tabbitha’, None, 45, 207.446)
(876, ‘Charla’, None, 54, 472.432)
(877, ‘Dukey’, None, 40, 449.033)
(878, ‘Napoleon’, None, 42, 178.943)
(879, ‘Aurora’, None, 24, 117.362)
(880, ‘Pennie’, None, 61, 381.739)
(881, ‘Lisle’, None, 38, 242.421)
(882, ‘Teodora’, None, 31, 252.257)
(883, ‘Myron’, None, 56, 446.53)
(884, ‘Sadye’, None, 70, 292.607)
(885, ‘Hal’, None, 47, 167.518)
(886, ‘Avis’, None, 57, 127.745)
(887, ‘Kaye’, None, 46, 193.227)
(888, ‘Barry’, None, 58, 130.713)
(889, ‘Olva’, None, 41, 267.493)
(890, ‘Wolf’, None, 44, 313.825)
(891, ‘Daryl’, None, 53, 403.271)
(892, ‘Hugues’, None, 39, 407.67)
(893, ‘Bird’, None, 68, 292.714)
(894, ‘Vi’, None, 33, 259.792)
(895, ‘Tammara’, None, 45, 217.119)
(896, ‘Wolfie’, None, 52, 111.22)
(897, ‘Merrill’, None, 33, 227.804)
(898, ‘Raleigh’, None, 57, 447.469)
(899, ‘Clay’, None, 60, 463.825)
(900, ‘Boniface’, None, 27, 195.895)
(901, ‘Royal’, None, 30, 117.685)
(902, ‘Bernardine’, None, 67, 405.863)
(903, ‘Dosi’, None, 25, 305.352)
(904, ‘Dinah’, None, 43, 109.79)
(905, ‘Cindie’, None, 40, 475.231)
(906, ‘Maggie’, None, 68, 137.07)
(907, ‘Judi’, None, 59, 147.676)
(908, ‘Simonne’, None, 58, 137.379)
(909, ‘Tommi’, None, 46, 367.118)
(910, ‘Conrade’, None, 21, 160.509)
(911, ‘Irwinn’, None, 38, 429.731)
(912, ‘Rourke’, None, 49, 121.053)
(913, ‘Paxon’, None, 25, 250.137)
(914, ‘Neilla’, None, 32, 431.989)
(915, ‘Erena’, None, 43, 278.154)
(916, ‘Veriee’, None, 33, 196.639)
(917, ‘Addy’, None, 63, 334.733)
(918, ‘Emeline’, None, 52, 457.621)
(919, ‘Jerome’, None, 47, 155.108)
(920, ‘Kristoffer’, None, 49, 435.569)
(921, ‘Delmer’, None, 47, 196.043)
(922, ‘Mallorie’, None, 32, 379.701)
(923, ‘Bridget’, None, 57, 440.37)
(924, ‘Mathias’, None, 62, 117.834)
(925, ‘Jeanna’, None, 22, 188.059)
(926, ‘Langston’, None, 31, 231.15)
(927, ‘Kaitlyn’, None, 51, 122.6)
(928, ‘Jaquenette’, None, 36, 470.282)
(929, ‘Harland’, None, 25, 416.391)
(930, ‘Gasper’, None, 47, 229.824)
(931, ‘Starr’, None, 31, 336.441)
(932, ‘Abra’, None, 47, 243.769)
(933, ‘Carmen’, None, 55, 199.734)
(934, ‘Jessika’, None, 37, 225.714)
(935, ‘Jacki’, None, 25, 472.783)
(936, ‘Aaron’, None, 27, 165.487)
(937, ‘Henryetta’, None, 49, 234.415)
(938, ‘Etta’, None, 24, 250.941)
(939, ‘Elka’, None, 41, 114.75)
(940, ‘Gibbie’, None, 56, 260.69)
(941, ‘Page’, None, 54, 176.051)
(942, ‘Sammie’, None, 69, 146.269)
(943, ‘Teresita’, None, 23, 289.313)
(944, ‘Cesaro’, None, 56, 318.02)
(945, ‘Esme’, None, 35, 461.433)
(946, ‘Michal’, None, 66, 482.079)
(947, ‘Megen’, None, 19, 490.074)
(948, ‘Kristi’, None, 40, 221.119)
(949, ‘Fonzie’, None, 67, 262.506)
(950, ‘Genna’, None, 44, 499.257)
(951, ‘Chryste’, None, 54, 162.804)
(952, ‘Berke’, None, 27, 344.713)
(953, ‘Lauraine’, None, 68, 125.334)
(954, ‘Sadie’, None, 64, 341.059)
(955, ‘Major’, None, 57, 423.474)
(956, ‘Velma’, None, 66, 284.826)
(957, ‘Tani’, None, 54, 466.247)
(958, ‘Merissa’, None, 23, 331.612)
(959, ‘Robinett’, None, 47, 348.536)
(960, ‘Raffarty’, None, 37, 158.351)
(961, ‘Rosalinda’, None, 36, 485.511)
(962, ‘Robbert’, None, 48, 406.93)
(963, ‘Nanete’, None, 37, 323.413)
(964, ‘La verne’, None, 55, 111.108)
(965, ‘Dinny’, None, 49, 384.448)
(966, ‘Arabelle’, None, 34, 496.765)
(967, ‘Catherine’, None, 48, 308.026)
(968, ‘Nataline’, None, 59, 208.841)
(969, ‘Olwen’, None, 66, 288.112)
(970, ‘Issy’, None, 29, 288.602)
(971, ‘Sonja’, None, 68, 324.646)
(972, ‘Isidoro’, None, 32, 198.899)
(973, ‘Kiele’, None, 22, 391.18)
(974, ‘Gothart’, None, 25, 446.266)
(975, ‘Margaretta’, None, 48, 367.871)
(976, ‘Alla’, None, 66, 188.452)
(977, ‘Sammy’, None, 68, 216.58)
(978, ‘Archy’, None, 37, 222.617)
(979, ‘Hy’, None, 43, 145.96)
(980, ‘Locke’, None, 28, 464.173)
(981, ‘Samaria’, None, 52, 245.772)
(982, ‘Sheila-kathryn’, None, 62, 111.62)
(983, ‘Billi’, None, 50, 161.386)
(984, ‘Nessy’, None, 27, 251.08)
(985, ‘Katey’, None, 34, 228.444)
(986, ‘Bernarr’, None, 57, 208.223)
(987, ‘Scarlett’, None, 27, 178.735)
(988, ‘Howie’, None, 68, 485.619)
(989, ‘Reta’, None, 32, 487.526)
(990, ‘Corinna’, None, 41, 130.741)
(991, ‘Lucas’, None, 48, 367.105)
(992, ‘Tirrell’, None, 65, 154.7)
(993, ‘Hercule’, None, 61, 130.828)
(994, ‘Ruttger’, None, 67, 143.587)
(995, ‘Melli’, None, 50, 323.667)
(996, ‘Annmarie’, None, 65, 494.155)
(997, ‘Karoly’, None, 48, 157.7)
(998, ‘Hobart’, None, 33, 187.605)
(999, ‘Filbert’, None, 47, 211.617)
(1000, ‘Dar’, None, 48, 392.597)
######################## RECUPERANDO OS DADOS DOS DEPARTAMENTOS ########################
2022-10-20 00:50:49,916 INFO sqlalchemy.engine.Engine
SELECT * FROM departamentos;

2022-10-20 00:50:49,918 INFO sqlalchemy.engine.Engine [raw sql] ()
(1, ‘Human Resources’)
(2, ‘Services’)
(3, ‘Product Management’)
(4, ‘Support’)
(5, ‘Business Development’)
(6, ‘Services’)
(7, ‘Human Resources’)
(8, ‘Support’)
(9, ‘Engineering’)
(10, ‘Services’)
######################## RECUPERANDO OS DADOS DOS FUNCIONARIOS QUEM TRABALHAM NOS DEPARTAMENTOS ########################
2022-10-20 00:50:49,919 INFO sqlalchemy.engine.Engine
SELECT f.nome, f.idade, f.salario, d.nome, t.data_entrada, t.data_saida FROM trabalha as t JOIN funcionarios as f ON t.id_funcionario = f.id JOIN departamentos d ON t.id_departamento = d.id;

2022-10-20 00:50:49,920 INFO sqlalchemy.engine.Engine [raw sql] ()
(‘Hephzibah’, 38, 306.261, ‘Support’, ‘7/8/2022′, ’10/8/2021’)
(‘Paxon’, 65, 428.725, ‘Business Development’, ‘1/10/2022’, ‘3/14/2022’)
(‘Corty’, 48, 198.27, ‘Human Resources’, ‘3/3/2021’, ‘6/24/2021’)
(‘Hedy’, 46, 440.927, ‘Services’, ‘1/4/2022′, ’11/27/2021’)
(‘Elyse’, 39, 480.426, ‘Product Management’, ‘5/20/2022’, ‘2/20/2021’)
(‘Ira’, 21, 186.163, ‘Business Development’, ‘9/7/2021′, ’10/11/2022’)
(‘Mattias’, 43, 344.029, ‘Services’, ‘5/29/2021’, ‘7/11/2022’)
(‘Tybalt’, 57, 363.227, ‘Business Development’, ‘2/18/2022’, ‘5/28/2022’)
(‘Sully’, 40, 282.221, ‘Product Management’, ‘3/17/2022’, None)
(‘Wrennie’, 41, 122.309, ‘Engineering’, ‘1/31/2022′, ’10/11/2021’)
(‘Anatol’, 60, 176.018, ‘Engineering’, ‘2/6/2022’, None)
(‘Craggie’, 69, 201.606, ‘Services’, ‘9/28/2021’, None)
(‘Aila’, 20, 358.59, ‘Services’, ‘2/28/2021’, ‘4/6/2022’)
(‘Marylin’, 40, 163.559, ‘Business Development’, ’11/25/2022′, None)
(‘Moselle’, 48, 306.284, ‘Services’, ‘8/8/2021’, ‘6/16/2021’)
(‘Raleigh’, 23, 430.375, ‘Business Development’, ‘8/1/2022’, None)
(‘Tracey’, 31, 109.874, ‘Human Resources’, ‘5/26/2022’, None)
(‘Olenolin’, 40, 190.977, ‘Services’, ’11/13/2021′, None)
(‘Myranda’, 49, 324.872, ‘Support’, ‘6/22/2022′, ’12/11/2022’)
(‘Filberto’, 24, 362.89, ‘Business Development’, ‘2/19/2021’, ‘7/11/2022’)
(‘Calvin’, 37, 498.879, ‘Product Management’, ‘1/6/2021’, None)
(‘Ravid’, 33, 329.84, ‘Services’, ‘3/30/2022’, ‘3/15/2021’)
(‘Valeria’, 61, 454.795, ‘Support’, ‘9/18/2022’, None)
(‘Walsh’, 49, 222.983, ‘Product Management’, ‘6/24/2022’, ‘3/12/2021’)
(‘Tildy’, 26, 340.03, ‘Human Resources’, ‘3/30/2021’, None)
(‘Ozzie’, 28, 460.795, ‘Product Management’, ’10/11/2022′, None)
(‘Vassily’, 69, 461.507, ‘Human Resources’, ‘4/13/2021′, ’12/5/2022’)
(‘Chester’, 48, 228.136, ‘Human Resources’, ‘6/9/2021’, None)
(‘Drusy’, 65, 330.337, ‘Services’, ‘1/18/2022’, None)
(‘Joshuah’, 36, 271.316, ‘Business Development’, ‘2/11/2021’, ‘7/11/2021’)
(‘Jessalyn’, 33, 435.451, ‘Services’, ’12/19/2021′, ‘5/20/2022’)
(‘Hastings’, 67, 105.676, ‘Services’, ‘5/15/2021’, ‘4/25/2021’)
(‘Nichol’, 38, 209.852, ‘Product Management’, ’11/20/2022′, ’10/30/2022′)
(‘Callie’, 19, 261.095, ‘Support’, ‘5/26/2022’, ‘7/2/2022’)
(‘Efren’, 44, 149.052, ‘Product Management’, ’12/30/2021′, ‘7/22/2021’)
(‘Omero’, 19, 430.706, ‘Services’, ‘1/24/2022′, ’12/23/2021’)
(‘Aharon’, 65, 210.921, ‘Human Resources’, ‘6/19/2022’, ‘2/3/2021’)
(‘Thedrick’, 19, 270.674, ‘Business Development’, ’11/16/2022′, ‘9/29/2021’)
(‘Chiarra’, 27, 197.729, ‘Product Management’, ‘5/27/2022′, ’11/17/2021’)
(‘Tani’, 18, 457.511, ‘Human Resources’, ‘4/4/2021’, ‘1/17/2022’)
(‘Tanitansy’, 44, 174.833, ‘Services’, ’10/29/2021′, ‘8/7/2022’)
(‘Griswold’, 47, 477.253, ‘Services’, ‘7/21/2021’, ‘7/24/2021’)
(‘Sandi’, 31, 188.89, ‘Product Management’, ‘7/4/2022’, None)
(‘Harland’, 40, 447.03, ‘Product Management’, ‘9/17/2022′, ’12/6/2022’)
(‘Debora’, 67, 393.019, ‘Services’, ‘3/9/2022’, ‘5/24/2021’)
(‘Randy’, 22, 281.047, ‘Services’, ’12/31/2021′, None)
(‘Annamarie’, 29, 160.797, ‘Business Development’, ’12/24/2022′, None)
(‘Ash’, 52, 131.195, ‘Services’, ‘5/24/2022’, ‘2/12/2021’)
(‘Kevon’, 21, 253.041, ‘Support’, ‘1/27/2021’, ‘9/19/2022’)
(‘Loria’, 68, 109.354, ‘Human Resources’, ’11/17/2021′, None)
(‘Inessa’, 65, 187.908, ‘Human Resources’, ’10/1/2022′, ‘7/29/2021’)
(‘Gayle’, 66, 419.131, ‘Services’, ‘2/11/2021’, ‘7/12/2022’)
(‘Cleavland’, 56, 281.807, ‘Support’, ‘7/4/2021’, ‘7/12/2021’)
(‘Della’, 27, 443.801, ‘Support’, ‘3/4/2022’, ‘9/27/2021’)
(‘Theo’, 31, 211.841, ‘Services’, ‘3/24/2021′, ’11/8/2021’)
(‘Emmalynn’, 23, 178.087, ‘Services’, ’10/17/2021′, None)
(‘Lenore’, 21, 167.761, ‘Services’, ’10/17/2022′, ‘4/13/2021’)
(‘Sebastien’, 50, 212.595, ‘Product Management’, ‘8/11/2021’, None)
(‘Maye’, 42, 157.183, ‘Product Management’, ‘7/2/2021’, ‘9/10/2021’)
(‘Adler’, 36, 125.511, ‘Business Development’, ‘4/27/2022′, ’11/2/2021’)
(‘Indira’, 35, 455.862, ‘Business Development’, ’11/3/2022′, ‘6/20/2022’)
(‘Griffith’, 54, 332.999, ‘Services’, ‘9/14/2021’, ‘8/21/2022’)
(‘Terri’, 20, 198.459, ‘Human Resources’, ‘4/22/2022’, ‘8/19/2022’)
(‘Nevins’, 59, 478.889, ‘Services’, ‘4/24/2021’, None)
(‘Gary’, 53, 173.63, ‘Human Resources’, ‘8/22/2021’, ‘1/10/2021’)
(‘Gus’, 30, 338.104, ‘Engineering’, ’11/10/2022′, ’11/10/2021′)
(‘Giuseppe’, 61, 192.944, ‘Engineering’, ‘7/25/2022’, ‘1/18/2022’)
(‘Inna’, 19, 214.232, ‘Product Management’, ‘7/17/2021’, None)
(‘Amanda’, 70, 347.533, ‘Engineering’, ‘3/29/2022’, ‘2/14/2022’)
(‘Vaughan’, 42, 339.797, ‘Services’, ‘6/28/2021’, ‘2/18/2021’)
(‘Aileen’, 65, 340.789, ‘Services’, ’11/14/2022′, ’10/17/2021′)
(‘Philippe’, 54, 218, ‘Services’, ‘5/25/2022′, ’10/21/2022’)
(‘Hymie’, 43, 415.404, ‘Human Resources’, ’10/17/2022′, ’12/29/2021′)
(‘Lindy’, 42, 339.442, ‘Business Development’, ’11/18/2022′, ‘1/11/2021’)
(‘Bettina’, 52, 329.928, ‘Product Management’, ‘1/1/2022’, ‘2/6/2021’)
(‘Valdemar’, 49, 479.844, ‘Human Resources’, ‘2/15/2022’, ‘4/15/2022’)
(‘Dominique’, 68, 478.001, ‘Business Development’, ‘4/18/2022′, ’12/7/2022’)
(‘Jillane’, 62, 182.667, ‘Business Development’, ‘5/24/2022’, ‘8/19/2022’)
(‘Krystyna’, 34, 390.99, ‘Business Development’, ‘5/7/2022’, ‘2/19/2022’)
(‘Franklyn’, 18, 212.867, ‘Services’, ‘3/29/2021′, ’11/7/2022’)
(‘Haywood’, 22, 307.16, ‘Business Development’, ‘3/20/2021’, ‘9/28/2021’)
(‘Hamnet’, 65, 160.588, ‘Product Management’, ‘4/11/2021’, ‘1/16/2021’)
(‘Silvie’, 22, 207.014, ‘Human Resources’, ‘3/17/2022′, ’12/27/2022’)
(‘Reider’, 46, 250.875, ‘Product Management’, ‘2/17/2021’, ‘7/26/2022’)
(‘Faustine’, 31, 341.601, ‘Human Resources’, ‘5/14/2021’, ‘4/23/2021’)
(‘Aidan’, 60, 118.999, ‘Services’, ‘1/19/2021’, ‘8/31/2021’)
(‘Mirabelle’, 37, 399.88, ‘Services’, ‘4/28/2021’, ‘7/14/2021’)
(‘Gael’, 69, 210.08, ‘Engineering’, ’11/2/2021′, ’11/17/2022′)
(‘Jolene’, 42, 126.617, ‘Services’, ‘6/18/2021’, ‘8/15/2022’)
(‘Tabb’, 23, 125.177, ‘Services’, ‘5/26/2021′, ’10/13/2021’)
(‘Della’, 33, 138.436, ‘Services’, ‘6/13/2022’, ‘5/7/2022’)
(‘Adiana’, 47, 320.703, ‘Support’, ’10/14/2021′, ’12/25/2022′)
(‘Brant’, 26, 470.602, ‘Services’, ’12/8/2021′, ’12/20/2021′)
(‘Jarred’, 62, 298.066, ‘Services’, ’11/29/2021′, None)
(‘Isabeau’, 43, 213.286, ‘Services’, ‘7/17/2021’, None)
(‘Samson’, 53, 376.524, ‘Product Management’, ‘6/20/2021’, ‘8/9/2021’)
(‘Hill’, 18, 240.595, ‘Support’, ‘9/10/2022′, ’11/16/2021’)
(‘Everett’, 56, 209.022, ‘Services’, ‘6/24/2022’, None)
(‘Den’, 40, 287.707, ‘Engineering’, ’12/2/2022′, ‘4/22/2022’)
(‘Conroy’, 19, 180.845, ‘Services’, ‘1/24/2021’, ‘3/10/2022’)
(‘Curt’, 38, 115.125, ‘Services’, ‘8/6/2022’, None)
(‘Lacee’, 43, 446.607, ‘Services’, ‘7/13/2021′, ’12/21/2021’)
(‘Valentina’, 68, 218.617, ‘Support’, ‘9/1/2021’, ‘9/18/2022’)
(‘Willabella’, 50, 266.203, ‘Human Resources’, ‘2/24/2022’, ‘9/26/2021’)
(‘Catie’, 39, 314.167, ‘Services’, ‘1/19/2021’, None)
(‘Ainslie’, 69, 482.091, ‘Support’, ‘8/28/2022’, ‘7/25/2021’)
(‘Rutger’, 50, 273.965, ‘Support’, ‘6/1/2021′, ’10/21/2021’)
(‘Lyssa’, 55, 418.887, ‘Human Resources’, ‘1/24/2022’, None)
(‘Mahala’, 62, 454.605, ‘Support’, ‘6/17/2022’, ‘2/25/2021’)
(‘Lezley’, 22, 204.433, ‘Human Resources’, ‘5/20/2021’, ‘7/8/2021’)
(‘Urban’, 56, 370.748, ‘Business Development’, ‘3/10/2021’, None)
(‘Annice’, 63, 453.042, ‘Services’, ‘8/22/2022′, ’12/8/2022’)
(‘Spencer’, 43, 226.196, ‘Human Resources’, ‘4/23/2022’, ‘5/11/2021’)
(‘Dot’, 57, 450.624, ‘Support’, ‘2/2/2021’, ‘5/1/2021’)
(‘Dawn’, 57, 392.393, ‘Human Resources’, ‘2/7/2022’, ‘6/14/2021’)
(‘Kipper’, 53, 243.837, ‘Engineering’, ‘2/5/2021’, ‘7/30/2022’)
(‘Harland’, 63, 302.217, ‘Human Resources’, ‘9/26/2021’, ‘4/27/2022’)
(‘Kirby’, 41, 406.159, ‘Engineering’, ’12/19/2021′, ’10/29/2021′)
(‘Raye’, 26, 291.721, ‘Business Development’, ‘7/26/2021’, ‘5/22/2022’)
(‘Berget’, 45, 423.384, ‘Engineering’, ‘5/28/2021’, ‘7/7/2022’)
(‘Hobie’, 47, 186.007, ‘Support’, ‘3/17/2022′, ’10/29/2021’)
(‘Francklin’, 59, 284.006, ‘Engineering’, ‘6/4/2021’, ‘8/9/2021’)
(‘Smitty’, 54, 273.56, ‘Business Development’, ‘2/20/2021′, ’12/5/2021’)
(‘Nefen’, 42, 493.67, ‘Support’, ’10/10/2022′, ‘2/8/2022’)
(‘Theodore’, 62, 132.44, ‘Support’, ‘9/8/2022’, None)
(‘Marsiella’, 41, 110.863, ‘Business Development’, ’11/23/2021′, ‘7/13/2021’)
(‘Alwyn’, 48, 473.699, ‘Human Resources’, ‘5/8/2021’, ‘6/14/2022’)
(‘Alexei’, 24, 412.807, ‘Product Management’, ‘5/23/2021’, None)
(‘Zaria’, 37, 230.695, ‘Support’, ’10/30/2022′, None)
(‘Doll’, 57, 269.332, ‘Product Management’, ‘9/10/2022’, ‘1/27/2022’)
(‘Ki’, 68, 405.171, ‘Business Development’, ‘9/10/2021’, None)
(‘Deck’, 62, 200.996, ‘Services’, ‘3/16/2021’, ‘1/23/2021’)
(‘Lisette’, 59, 181.479, ‘Services’, ’12/4/2021′, None)
(‘Meggie’, 26, 177.731, ‘Business Development’, ‘1/18/2022’, ‘3/4/2021’)
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(‘Winnah’, 19, 179, ‘Human Resources’, ‘7/24/2021’, None)
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(‘Drusy’, 23, 135.594, ‘Services’, ‘5/25/2021’, None)
(‘Foss’, 58, 178.494, ‘Engineering’, ‘8/28/2022’, None)
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(‘Dell’, 48, 268.315, ‘Product Management’, ’12/11/2022′, ’11/5/2021′)
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(‘Terry’, 56, 182.12, ‘Engineering’, ‘4/18/2022’, None)
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(‘Jefferey’, 60, 273.254, ‘Business Development’, ’11/26/2021′, ‘7/1/2022’)
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(‘Fairfax’, 42, 344.731, ‘Support’, ’12/9/2022′, ‘1/19/2021’)
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(‘Andras’, 40, 369.574, ‘Support’, ‘3/9/2022’, ‘5/9/2022’)
(‘Gabriele’, 70, 151.144, ‘Support’, ‘1/16/2021’, None)
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(‘Peirce’, 45, 280.845, ‘Support’, ‘4/8/2022’, None)
(‘Baillie’, 48, 495.854, ‘Support’, ‘1/2/2021’, ‘6/28/2022’)
(‘Raddie’, 48, 435.531, ‘Services’, ‘1/16/2021’, ‘5/12/2021’)
(‘Humfrid’, 61, 370.754, ‘Human Resources’, ‘6/7/2021’, ‘7/4/2021’)
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(‘Kennie’, 54, 195.917, ‘Services’, ‘2/1/2021’, None)
(‘Minnie’, 36, 350.209, ‘Human Resources’, ‘8/27/2022’, ‘9/22/2022’)
(‘Vonny’, 54, 447.48, ‘Business Development’, ‘7/1/2022’, ‘1/25/2022’)
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(‘Vivien’, 26, 437.542, ‘Services’, ’12/25/2021′, ‘2/9/2021’)
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(‘Zia’, 40, 429.518, ‘Business Development’, ‘3/25/2021’, None)
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(‘Lucinda’, 45, 487.863, ‘Product Management’, ‘8/30/2021’, ‘2/27/2021’)
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(‘Sinclare’, 44, 455.868, ‘Services’, ‘4/1/2022’, ‘5/27/2021’)
(‘Sharity’, 46, 335.093, ‘Business Development’, ‘3/27/2022’, None)
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(‘Dagmar’, 33, 496.402, ‘Business Development’, ‘4/4/2022’, ‘5/27/2021’)
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(‘Brana’, 59, 278.751, ‘Product Management’, ’11/26/2021′, ‘9/6/2021’)
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(‘Tonia’, 21, 193.782, ‘Services’, ‘9/19/2021’, None)
(‘Ruthie’, 66, 480.053, ‘Services’, ‘2/16/2021’, ‘9/11/2022’)
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(‘Hobart’, 53, 247.518, ‘Support’, ‘9/7/2021’, ‘4/5/2021’)
(‘Wilfrid’, 42, 348.686, ‘Business Development’, ’10/26/2022′, None)
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(‘Rozele’, 52, 195.181, ‘Business Development’, ‘2/6/2022’, ‘4/4/2022’)
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(‘Louie’, 26, 475.382, ‘Services’, ‘2/3/2021’, None)
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(‘Byron’, 48, 321.657, ‘Engineering’, ’12/31/2021′, ‘5/3/2022’)
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(‘Ertha’, 37, 187.843, ‘Services’, ’11/15/2022′, ‘8/31/2022’)
(‘Sheffy’, 29, 416.712, ‘Human Resources’, ‘7/7/2022’, ‘1/30/2021’)
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(‘Morly’, 22, 415.127, ‘Services’, ‘9/7/2021’, None)
(‘Issi’, 66, 295.236, ‘Services’, ‘3/20/2022’, ‘6/8/2021’)
(‘Mata’, 61, 294.383, ‘Engineering’, ’11/6/2022′, None)
(‘Normand’, 45, 111.98, ‘Support’, ’10/7/2021′, ‘6/3/2021’)
(‘Edgardo’, 69, 404.059, ‘Services’, ‘6/3/2021’, None)
(‘Shae’, 32, 494.039, ‘Business Development’, ’10/18/2022′, ‘6/3/2021’)
(‘Katie’, 35, 196.1, ‘Services’, ‘7/28/2021’, None)
(‘Sigismond’, 50, 247.62, ‘Support’, ‘6/28/2022’, None)
(‘Emerson’, 45, 229.67, ‘Services’, ‘2/3/2021’, ‘8/8/2021’)
(‘Pegeen’, 69, 118.719, ‘Engineering’, ‘6/15/2021’, ‘1/6/2021’)
(‘Jedidiah’, 22, 456.459, ‘Engineering’, ’10/11/2022′, ‘1/17/2021’)
(‘Robinson’, 59, 121.278, ‘Engineering’, ’12/30/2022′, ‘8/9/2021’)
(‘Natalya’, 66, 219.474, ‘Support’, ‘7/28/2022’, None)
(‘Wilhelmina’, 54, 225.523, ‘Services’, ’10/12/2021′, ‘1/22/2021’)
(‘Torrie’, 53, 480.341, ‘Product Management’, ’11/30/2021′, ‘7/21/2022’)
(‘Sharron’, 57, 238.622, ‘Services’, ‘9/6/2022’, ‘2/20/2021’)
(‘Cammie’, 61, 121.465, ‘Business Development’, ‘4/12/2022’, None)
(‘Ana’, 37, 183.229, ‘Services’, ‘7/18/2022′, ’10/31/2022’)
(‘Willy’, 32, 173.536, ‘Engineering’, ‘9/21/2022’, None)
(‘Shellie’, 63, 464.418, ‘Human Resources’, ‘9/11/2021’, ‘3/27/2021’)
(‘Venus’, 30, 354.231, ‘Services’, ‘2/19/2021’, ‘6/25/2021’)
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(‘Jaimie’, 40, 412.73, ‘Human Resources’, ’12/27/2021′, ’11/22/2022′)
(‘Katerine’, 23, 164.376, ‘Product Management’, ‘4/17/2022’, ‘6/18/2022’)
(‘Cobbie’, 49, 242.872, ‘Support’, ‘2/24/2022’, ‘4/3/2021’)
(‘Albertina’, 43, 458.584, ‘Services’, ‘8/13/2022’, None)
(‘Keriann’, 62, 285.133, ‘Services’, ‘1/24/2021’, None)
(‘Shelbi’, 66, 482.851, ‘Support’, ‘3/10/2022′, ’11/30/2021’)
(‘Kate’, 43, 377.503, ‘Human Resources’, ’11/6/2021′, None)
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(‘Tabor’, 34, 264.644, ‘Business Development’, ’11/14/2022′, ’11/24/2022′)
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(‘Thor’, 34, 202.655, ‘Support’, ‘1/9/2022’, ‘5/14/2021’)
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(‘Maddy’, 51, 476.989, ‘Business Development’, ‘1/30/2022’, ‘8/7/2021’)
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(‘Micheal’, 40, 415.466, ‘Services’, ‘3/18/2021’, ‘1/17/2022’)
(‘Ernaline’, 46, 451.11, ‘Services’, ‘1/12/2022’, None)
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(‘Tisha’, 63, 142.737, ‘Services’, ‘5/27/2021’, ‘8/19/2022’)
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(‘Nadeen’, 56, 220.406, ‘Human Resources’, ‘1/22/2022’, ‘8/13/2021’)
(‘Katti’, 69, 343.331, ‘Services’, ’10/23/2021′, None)
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(‘Tann’, 30, 419.634, ‘Engineering’, ‘9/28/2021’, None)
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(‘Vera’, 19, 481.757, ‘Business Development’, ‘5/24/2021′, ’10/9/2021’)
(‘Amelie’, 54, 184.047, ‘Product Management’, ’10/16/2022′, None)
(‘Padraic’, 19, 220.796, ‘Business Development’, ’11/9/2021′, None)
(‘Pamelina’, 57, 468.096, ‘Business Development’, ‘6/21/2022’, None)
(‘Fawne’, 65, 281.203, ‘Engineering’, ’12/11/2022′, None)
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(‘Cecilius’, 47, 495.158, ‘Services’, ‘3/18/2021’, None)
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(‘Stephan’, 48, 153.239, ‘Support’, ‘1/12/2022’, ‘5/2/2022’)
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(‘Bear’, 63, 362.549, ‘Business Development’, ‘7/10/2022’, None)
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(‘Giuditta’, 22, 275.292, ‘Product Management’, ‘1/6/2022’, ‘3/18/2021’)
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(‘Emmit’, 37, 217.017, ‘Support’, ‘1/5/2022’, ‘7/11/2021’)
(‘Brittani’, 40, 450.639, ‘Services’, ‘6/30/2022’, None)
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(‘Ulla’, 21, 153.604, ‘Services’, ‘1/3/2021’, ‘9/14/2021’)
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(‘Hedvige’, 53, 122.241, ‘Business Development’, ‘8/22/2022’, ‘6/2/2022’)
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(‘Marlene’, 35, 470.483, ‘Engineering’, ‘7/6/2021’, None)
(‘Arte’, 51, 116.834, ‘Services’, ‘8/21/2021’, None)
(‘Lonna’, 58, 205.345, ‘Business Development’, ‘1/29/2022’, None)
(‘Bartel’, 37, 307.788, ‘Services’, ’11/5/2021′, ‘6/24/2022’)
(‘Davina’, 66, 203.463, ‘Engineering’, ‘6/29/2021’, ‘2/24/2022’)
(‘Kirby’, 51, 128.238, ‘Services’, ’11/28/2022′, ‘6/18/2022’)
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(‘Casey’, 61, 399.091, ‘Engineering’, ’12/23/2022′, None)
(‘Daryl’, 51, 103.977, ‘Services’, ‘4/27/2022’, ‘6/23/2021’)
(‘Minette’, 54, 473.023, ‘Human Resources’, ’10/6/2022′, ‘7/25/2021’)
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(‘Wilma’, 50, 356.835, ‘Human Resources’, ‘1/21/2021’, ‘3/4/2022’)
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(‘Claudette’, 59, 391.146, ‘Services’, ‘2/16/2022’, ‘4/21/2022’)
(‘Gray’, 66, 128.468, ‘Support’, ‘3/1/2022’, None)
(‘Gasparo’, 64, 390.352, ‘Product Management’, ’11/28/2022′, ‘6/19/2021’)
(‘Roderigo’, 40, 254.946, ‘Support’, ’11/23/2022′, ‘1/13/2021’)
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(‘Berne’, 21, 284.261, ‘Business Development’, ‘1/30/2022’, ‘6/16/2021’)
(‘Alasdair’, 47, 242.11, ‘Support’, ‘6/9/2022’, ‘1/8/2021’)
(‘Alessandro’, 64, 276.317, ‘Product Management’, ’10/7/2022′, ’10/2/2022′)
(‘Simon’, 32, 364.418, ‘Support’, ‘1/14/2021′, ’11/24/2021’)
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(‘Valeria’, 29, 383.718, ‘Human Resources’, ’12/4/2021′, None)
(‘Olivero’, 51, 444.631, ‘Services’, ‘8/6/2021’, ‘1/18/2022’)
(‘Hamil’, 64, 408.172, ‘Services’, ‘3/30/2021’, ‘6/21/2021’)
(‘Quintana’, 46, 186.659, ‘Human Resources’, ’11/30/2021′, ‘7/28/2021’)
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(‘Melli’, 63, 320.272, ‘Support’, ‘6/27/2022’, ‘6/30/2022’)
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(‘Jeane’, 62, 393.221, ‘Human Resources’, ‘5/15/2021’, None)
(‘Madeleine’, 37, 484.576, ‘Human Resources’, ‘1/21/2021’, None)
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(‘Charla’, 54, 472.432, ‘Business Development’, ‘2/28/2021’, None)
(‘Dukey’, 40, 449.033, ‘Business Development’, ‘1/4/2021’, ‘3/26/2022’)
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(‘Lisle’, 38, 242.421, ‘Services’, ’11/22/2022′, ’11/18/2021′)
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(‘Sadye’, 70, 292.607, ‘Product Management’, ‘6/4/2022′, ’10/12/2021’)
(‘Hal’, 47, 167.518, ‘Engineering’, ’11/27/2021′, None)
(‘Avis’, 57, 127.745, ‘Services’, ‘3/21/2021′, ’12/8/2022’)
(‘Kaye’, 46, 193.227, ‘Human Resources’, ’12/22/2022′, ‘7/28/2021’)
(‘Barry’, 58, 130.713, ‘Product Management’, ‘2/15/2022’, None)
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(‘Wolf’, 44, 313.825, ‘Human Resources’, ‘8/6/2022’, ‘8/16/2021’)
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(‘Vi’, 33, 259.792, ‘Business Development’, ’10/7/2021′, None)
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(‘Boniface’, 27, 195.895, ‘Services’, ‘6/29/2021’, None)
(‘Royal’, 30, 117.685, ‘Business Development’, ‘4/20/2021’, None)
(‘Bernardine’, 67, 405.863, ‘Services’, ‘4/1/2022’, ‘5/3/2022’)
(‘Dosi’, 25, 305.352, ‘Engineering’, ‘7/3/2021′, ’10/21/2021’)
(‘Dinah’, 43, 109.79, ‘Engineering’, ‘8/15/2022’, ‘8/22/2022’)
(‘Cindie’, 40, 475.231, ‘Product Management’, ’12/12/2022′, ‘5/3/2021’)
(‘Maggie’, 68, 137.07, ‘Support’, ‘1/30/2021′, ’10/21/2022’)
(‘Judi’, 59, 147.676, ‘Product Management’, ‘3/30/2021’, ‘8/27/2021’)
(‘Simonne’, 58, 137.379, ‘Support’, ‘9/4/2022’, ‘9/29/2022’)
(‘Tommi’, 46, 367.118, ‘Product Management’, ‘7/24/2021’, None)
(‘Conrade’, 21, 160.509, ‘Engineering’, ‘4/24/2022’, None)
(‘Irwinn’, 38, 429.731, ‘Services’, ‘4/21/2022’, None)
(‘Rourke’, 49, 121.053, ‘Engineering’, ‘5/9/2021’, ‘2/8/2021’)
(‘Paxon’, 25, 250.137, ‘Services’, ‘9/5/2022’, None)
(‘Neilla’, 32, 431.989, ‘Product Management’, ‘3/2/2021’, ‘5/15/2021’)
(‘Erena’, 43, 278.154, ‘Product Management’, ’10/19/2021′, ‘7/4/2021’)
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(‘Emeline’, 52, 457.621, ‘Business Development’, ’12/28/2022′, ‘9/14/2022’)
(‘Jerome’, 47, 155.108, ‘Support’, ‘9/10/2021′, ’12/2/2022’)
(‘Kristoffer’, 49, 435.569, ‘Business Development’, ‘7/27/2021’, ‘6/26/2022’)
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(‘Mallorie’, 32, 379.701, ‘Human Resources’, ‘8/28/2022’, None)
(‘Bridget’, 57, 440.37, ‘Services’, ‘2/3/2021’, ‘7/27/2022’)
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(‘Kristi’, 40, 221.119, ‘Support’, ‘6/16/2022’, None)
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(‘Sammy’, 68, 216.58, ‘Services’, ‘1/2/2021′, ’12/12/2021’)
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(‘Hy’, 43, 145.96, ‘Human Resources’, ‘6/20/2021’, None)
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(‘Samaria’, 52, 245.772, ‘Services’, ‘3/29/2022′, ’10/23/2021’)
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(‘Dar’, 48, 392.597, ‘Support’, ‘1/26/2021’, ‘6/24/2022’)
2022-10-20 00:50:49,935 INFO sqlalchemy.engine.Engine COMMIT

Em construção….

ATUALIZANDO OS DADOS NAS TABELAS

DELETANDOS OS DADOS NAS TABELAS

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