def remove(instance: Queue):
if len(instance._data) == 0:
return print("Não há elementos")
path_file = instance._data[0]["nome_do_arquivo"]
instance.dequeue()
return print(f"Arquivo {path_file} removido com sucesso")
def test_search_com_indice_invalido():
queue = Queue()
with pytest.raises(IndexError):
queue.search(0)
queue.enqueue(42)
with pytest.raises(IndexError):
queue.search(-1)
with pytest.raises(IndexError):
queue.search(2)
def test_search_deve_buscar_um_valor_a_partir_de_um_indice():
queue = Queue()
queue.enqueue(42)
queue.enqueue(43)
queue.enqueue(44)
assert queue.search(0) == 42
assert queue.search(1) == 43
assert queue.search(2) == 44
def test_validar_funcao_process_com_sucesso(capsys):
project = Queue()
process("statics/arquivo_teste.txt", project)
out, err = capsys.readouterr()
assert "'nome_do_arquivo': 'statics/arquivo_teste.txt'" in out
assert "'qtd_linhas': 3" in out
assert "'linhas_do_arquivo': ['Acima de tudo,'" in out
def test_dequeue_deve_remover_um_valor_a_fila():
queue = Queue()
queue.enqueue(42)
queue.enqueue(43)
queue.enqueue(44)
given = queue.dequeue()
assert len(queue) == 2
assert given == 42
def test_validar_funcao_file_metadata_com_sucesso(capsys):
project = Queue()
process("statics/novo_paradigma_globalizado-min.txt", project)
file_metadata(project, 0)
out, err = capsys.readouterr()
assert ("'nome_do_arquivo': 'statics/novo_paradigma_globalizado-min.txt'"
in out)
assert "'qtd_linhas': 19" in out
assert (
"'linhas_do_arquivo': ['Estratégias em um Novo Paradigma Globalizado'"
in out)
def test_validar_search_by_word_com_palavra_inexistente(capsys):
project = Queue()
process("statics/nome_pedro.txt", project)
word = search_by_word("Ratinho", project)
out, err = capsys.readouterr()
assert word == []
def test_validar_search_by_word_com_sucesso(capsys):
project = Queue()
process("statics/nome_pedro.txt", project)
word = search_by_word("pedro", project)
out, err = capsys.readouterr()
assert word == text_search_by_word
def test_validar_funcao_exists_word_sem_palavra_existente(capsys):
project = Queue()
process("statics/nome_pedro.txt", project)
word = exists_word("Ratinho", project)
out, err = capsys.readouterr()
assert word == []
def test_validar_funcao_exists_word_com_sucesso(capsys):
project = Queue()
process("statics/nome_pedro.txt", project)
word = exists_word("Pedro", project)
out, err = capsys.readouterr()
assert word == text_exists_word
def test_validar_funcao_file_metadata_com_posicao_invalida(capsys):
project = Queue()
process("statics/novo_paradigma_globalizado-min.txt", project)
file_metadata(project, 200)
out, err = capsys.readouterr()
assert "Posição inválida" in err
def test_remover_arquivo_inexistente(capsys):
project = Queue()
remove(project)
out, err = capsys.readouterr()
assert out == "Não há elementos\n"
def test_remover_arquivo_com_sucesso(capsys):
project2 = Queue()
process("statics/arquivo_teste.txt", project2)
remove(project2)
out, err = capsys.readouterr()
assert "Arquivo statics/arquivo_teste.txt removido com sucesso\n" in out
def test_validar_funcao_process_ignorando_mesmo_nome(capsys):
project = Queue()
process("statics/arquivo_teste.txt", project)
process("statics/arquivo_teste.txt", project)
assert len(project) == 1
def search_by_word(word, instance):
news = []
for i_news in range(len(instance)):
current = instance.dequeue()
matched_lines = search_word_sentence(
word, current["linhas_do_arquivo"]
)
if matched_lines:
news.append(
{
"palavra": word,
"arquivo": current["nome_do_arquivo"],
"ocorrencias": matched_lines,
}
)
instance.enqueue(current)
return news
if __name__ == "__main__":
from ting_file_management.queue import Queue
from ting_file_management.file_process import process
project = Queue()
process("statics/nome_pedro.txt", project)
word = search_by_word("pedro", project)
print(word)
def test_enqueue_deve_adicionar_um_valor_a_fila():
queue = Queue()
queue.enqueue(42)
assert len(queue) == 1