apache beam 2.7.0 在 utf-8 编码法语字符时崩溃

Question

我正在尝试将来自谷歌云平台的存储桶中的 csv 写入数据存储区，其中包含 法语字符/口音，但我收到一条关于解码的错误消息。

尝试从“latin-1”编码和解码到“utf-8”但没有成功（使用unicode、unicodedata和编解码器 ) 我尝试手动更改内容...

我使用的操作系统默认使用“ascii”编码，我手动将“Anaconda3/envs/py27/lib/site.py”更改为UTF-8。

def setencoding():
    """Set the string encoding used by the Unicode implementation.  The
    default is 'ascii', but if you're willing to experiment, you can
    change this."""
    encoding = "utf-8" # Default value set by _PyUnicode_Init()
    sys.setdefaultencoding("utf-8")

我已经在本地尝试了一个测试文件，通过打印然后将带有重音符号的字符串写入文件，它成功了！

string='naïve café'
test_decode=codecs.utf_8_decode(string, "strict", True)[0]
print(test_decode)

with  open('./test.txt', 'w') as outfile:
    outfile.write(test_decode)

但是 apache_beam 没有运气...

然后我尝试手动更改“/usr/lib/python2.7/encodings/utf_8.py”并放入“ignore”而不是“严格”转换成codecs.utf_8_decode

def decode(input, errors='ignore'):
    return codecs.utf_8_decode(input, errors, True)

但我意识到 apache_beam 不使用此文件或至少不考虑任何更改

有什么办法解决吗？

请在错误信息下方查找

Traceback (most recent call last):
  File "etablissementsFiness.py", line 146, in <module>
    dataflow(run_locally)
  File "etablissementsFiness.py", line 140, in dataflow
    | 'Write entities into Datastore' >> WriteToDatastore(PROJECT)
  File "C:\Users\Georges\Anaconda3\envs\py27\lib\site-packages\apache_beam\pipel
ine.py", line 414, in __exit__
    self.run().wait_until_finish()
  File "C:\Users\Georges\Anaconda3\envs\py27\lib\site-packages\apache_beam\runne
rs\dataflow\dataflow_runner.py", line 1148, in wait_until_finish
    (self.state, getattr(self._runner, 'last_error_msg', None)), self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow
pipeline failed. State: FAILED, Error:
Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/batchworker.py",
line 642, in do_work
    work_executor.execute()
  File "/usr/local/lib/python2.7/dist-packages/dataflow_worker/executor.py", lin
e 156, in execute
    op.start()
  File "dataflow_worker/native_operations.py", line 38, in dataflow_worker.nativ
e_operations.NativeReadOperation.start
    def start(self):
  File "dataflow_worker/native_operations.py", line 39, in dataflow_worker.nativ
e_operations.NativeReadOperation.start
    with self.scoped_start_state:
  File "dataflow_worker/native_operations.py", line 44, in dataflow_worker.nativ
e_operations.NativeReadOperation.start
    with self.spec.source.reader() as reader:
  File "dataflow_worker/native_operations.py", line 48, in dataflow_worker.nativ
e_operations.NativeReadOperation.start
    for value in reader:
  File "/usr/local/lib/python2.7/dist-packages/apache_beam/io/textio.py", line 2
01, in read_records
    yield self._coder.decode(record)
  File "/usr/local/lib/python2.7/dist-packages/apache_beam/coders/coders.py", li
ne 307, in decode
    return value.decode('utf-8')
  File "/usr/lib/python2.7/encodings/utf_8.py", line 16, in decode
    return codecs.utf_8_decode(input, errors, True)
UnicodeDecodeError: 'utf8' codec can't decode byte 0xe9 in position 190: invalid continuation byte

Answer 1

尝试编写一个 CustomCoder 类并在解码时“忽略”任何错误：

from apache_beam.coders.coders import Coder

class CustomCoder(Coder):
    """A custom coder used for reading and writing strings as UTF-8."""

    def encode(self, value):
        return value.encode("utf-8", "replace")

    def decode(self, value):
        return value.decode("utf-8", "ignore")

    def is_deterministic(self):
        return True

然后，使用coder=CustomCoder() 读写文件：

lines = p | "Read" >> ReadFromText("files/path/*.txt", coder=CustomCoder())

# More processing code here...

output | WriteToText("output/file/path", file_name_suffix=".txt", coder=CustomCoder())

Answer 2

此错误：“UnicodeDecodeError: 'utf8' codec can't decode byte” 意味着，您的 CSV 文件仍然包含一些错误的字节，解码器无法将其识别为 UTF 字符。

对此最简单的解决方案是convert 并验证 csv 输入文件在提交数据存储之前不包含 UTF8 错误。 Simple online UTF8 validation can check it.

如果你需要在 python 中将 latin-1 转换为 UTF8，你可以这样做：

string.decode('iso-8859-1').encode('utf8')