python - 异常情况下 "resume next"的 Pythonic 方式？

Question

问题:我正在阅读一系列异构输入文件。我为他们每个人写了一个阅读器类，它使用 __init__(self, file_name) 读取文件，并在输入格式错误的情况下抛出异常。

代码如下所示:

clients              = Clients             ('Clients.csv'             )
simulation           = Simulation          ('Simulation.csv'          )
indicators           = Indicators          ('Indicators.csv'          )
legalEntity          = LegalEntity         ('LegalEntity.csv'         )
defaultPortfolio     = DefaultPortfolio    ('DefaultPortfolio.csv'    )
excludedProductTypes = ExcludedProductTypes('ExcludedProductTypes.csv')

问题是我不想死于第一个格式错误的文件，而是阅读所有文件，然后如果至少有一个格式错误则死掉。我能找到的唯一方法看起来很糟糕:

my errors = []    

try:
    clients              = Clients             ('Clients.csv'             )
except Exception, e:
    errors.append(e)
try:
    simulation           = Simulation          ('Simulation.csv'          )
except Exception, e:
    errors.append(e)
try:
    indicators           = Indicators          ('Indicators.csv'          )
except Exception, e:
    errors.append(e)
try:
    legalEntity          = LegalEntity         ('LegalEntity.csv'         )
except Exception, e:
    errors.append(e)
try:
    defaultPortfolio     = DefaultPortfolio    ('DefaultPortfolio.csv'    )
except Exception, e:
    errors.append(e)
try:
    excludedProductTypes = ExcludedProductTypes('ExcludedProductTypes.csv')
except Exception, e:
    errors.append(e)

if len(errors) > 0:
    raise MultipleErrors(errors)

有没有更好看的方法来解决这个问题？

Answer 1

按顺序存储类和文件，结果存入字典:

inputs = (
    (Clients, 'Clients.csv'),
    (Simulation, 'Simulation.csv'),
    (Indicators, 'Indicators.csv'),
    (LegalEntity, 'LegalEntity.csv'),
    (DefaultPortfolio, 'DefaultPortfolio.csv'),
    (ExcludedProductTypes, 'ExcludedProductTypes.csv'),
)

results = {}
errors = []
for cls, filename in inputs:
    try:
        results[cls.__name__[0].lower() + cls.__name__[1:]] = cls(filename)
    except Exception, e:
        errors.append(e)

if errors:
    raise MultipleErrors(errors)