TypeError: the JSON object must be str, bytes or bytearray, not NoneType

[hu0514]

File "/data/leisu/leisu_env/lib/python3.7/site-packages/googletrans/client.py", line 219, in translate
parsed = json.loads(data[0][2])
File "/data/local/python3.7/lib/python3.7/json/init.py", line 341, in loads
raise TypeError(f'the JSON object must be str, bytes or bytearray, '
TypeError: the JSON object must be str, bytes or bytearray, not NoneType

[qinghuan1998]

我遇到了同样的报错，经过检测发现是翻译的字符数超过5000或者传入的是""空字符串就会有这样的报错。但API文档中显示单个文本最大翻译字符上限为15K，我也有点迷糊，想到issue中寻找答案来着，，，

[alperenkaplan]

I believe you encounter this issue because your text is too long.I think documentation says the character limit is15k but I encounter the same problem when I send anything longer than 5k. Try to send your text in 5k chunks and see if you still have the issue. Make sure the chunks end with complete sentences tho. Then you can concatenate the results

[benjaminvanrenterghem]

Your content is too long, I recommend using something smaller than 5000 as mentioned above.
I would consider it a good suggestion for googletrans to automatically assert this and to automatically break up content into chunks.
You can manually break your content up into chunks and translate them, example below:

from time import sleep
import backoff

class Translator:
    def __init__(self):
        self.client = GoogleTranslator()
        self.sleep_in_between_translations_seconds = 10
        self.source_language = "en"
        self.max_chunk_size = 4000

    def __createChunks(self, corpus):
        chunks = [corpus[i:i + self.max_chunk_size] for i in range(0, len(corpus), self.max_chunk_size)]
        return chunks

    def __sleepBetweenQuery(self):
        print('Sleeping for {}s after translation query..'.format(self.sleep_in_between_translations_seconds))
        sleep(self.sleep_in_between_translations_seconds)

    @backoff.on_exception(backoff.expo, Exception, max_tries=150)
    def Translate(self, content, dest_language_code):
        try:
            print('Attempting to translate to lang={}'.format(dest_language_code))
            if len(content) > self.max_chunk_size:
                print('Warning: Content is longer than allowed size of {}, breaking into chunks'.format(self.max_chunk_size))
                results_list = []
                concatenated_result = ""

                original_chunks = self.__createChunks(content)
                for i in original_chunks:
                    r = self.client.translate(i, dest=dest_language_code, src=self.source_language)
                    self.__sleepBetweenQuery()
                    results_list.append(r.text)

                for i in results_list:
                    concatenated_result += i

                return concatenated_result
            else:
                res = self.client.translate(content, dest=dest_language_code, src=self.source_language)
                self.__sleepBetweenQuery()
                return res.text
        except Exception as e:
            print(e)
            raise e```

[benjaminvanrenterghem]

Apparently this error also occurs when a bunch of whitespace / no content to actually translate is present. Something to keep in mind.

[NawtJ0sh]

if yall cant get this working, you can try this instead #268

[stale]

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[ghost]

I'm getting this error with just the README's example of bulk translating.

translations = translator.translate(['The quick brown fox', 'jumps over', 'the lazy dog'], dest='ko')

the entire error message:

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-c4a9f98d835f> in <module>
----> 1 translations = translator.translate(['The quick brown fox', 'jumps over', 'the lazy dog'], dest='ko')

C:\ProgramData\Anaconda3\lib\site-packages\googletrans\client.py in translate(self, text, dest, src)
    217
    218         data = json.loads(resp)
--> 219         parsed = json.loads(data[0][2])
    220         # not sure
    221         should_spacing = parsed[1][0][0][3]

C:\ProgramData\Anaconda3\lib\json\__init__.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
    339     else:
    340         if not isinstance(s, (bytes, bytearray)):
--> 341             raise TypeError(f'the JSON object must be str, bytes or bytearray, '
    342                             f'not {s.__class__.__name__}')
    343         s = s.decode(detect_encoding(s), 'surrogatepass')

TypeError: the JSON object must be str, bytes or bytearray, not NoneType

only bulk translating doesn't work however. Translating normally works just fine.

[stale]

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[Secret-chest]

It also happens if the string is empty. I translate from a JSON file, add this line before translating:

if sourceTranslation == "" or sourceTranslation is None:

[ganbayard]

result=df.to_json(orient="index",default_handler=str).encode('utf-8')

[Absolutorcinus]

I am trying to get the source language from a sentence:

langs = translator.detect(['Hehehe, di daerah '])
....... for lang in langs:
..............print(lang.lang, lang.confidence)

i get the following Error:

TypeError Traceback (most recent call last)

in ()
----> 1 langs = translator.detect(['Hehehe, di daerah '])
2 for lang in langs:
3 print(lang.lang, lang.confidence)

2 frames

/usr/local/lib/python3.7/dist-packages/googletrans/client.py in detect(self, text)
367
368 def detect(self, text: str):
--> 369 translated = self.translate(text, src='auto', dest='en')
370 result = Detected(lang=translated.src, confidence=translated.extra_data.get('confidence', None), response=translated._response)
371 return result

/usr/local/lib/python3.7/dist-packages/googletrans/client.py in translate(self, text, dest, src)
217
218 data = json.loads(resp)
--> 219 parsed = json.loads(data[0][2])
220 # not sure
221 should_spacing = parsed[1][0][0][3]

/usr/lib/python3.7/json/init.py in loads(s, encoding, cls, object_hook, parse_float, parse_int, parse_constant, object_pairs_hook, **kw)
339 else:
340 if not isinstance(s, (bytes, bytearray)):
--> 341 raise TypeError(f'the JSON object must be str, bytes or bytearray, '
342 f'not {s.class.name}')
343 s = s.decode(detect_encoding(s), 'surrogatepass')

TypeError: the JSON object must be str, bytes or bytearray, not NoneType