Hi, glad you solved the problem. Yes, both the request.FILES[‘file’] and
the chardet file handler are binary handlers. Binary handler presents the
raw data. chardet takes a sequence or raw data and then detect the encoding
format. With its prediction, if you want to open that puece of data in text
mode, you can use the .decode(<encoding format>) method of bytes object to
get a python string.

On Wed, 22 Jul 2020 at 11:04 PM, Kovy Jacob <[email protected]> wrote:

> That’s probably not the proper answer, but that’s the best I can do. Sorry
> :-(
>
>
> On Jul 22, 2020, at 10:46 AM, Ronaldo Mata <[email protected]>
> wrote:
>
> Yes, the problem here is that the files will be loaded by the user, so I
> don't know what delimiter I will receive. This is not a base command that I
> am using, it is the logic that I want to incorporate in a view
>
> El mié., 22 jul. 2020 a las 10:43, Kovy Jacob (<[email protected]>)
> escribió:
>
>> Ah, so is the problem that you don’t always know what the delimiter is
>> when you read it? If yes, what is the use case for this? You might not need
>> a universal solution, maybe just put all the info into a csv yourself,
>> manually.
>>
>> On Jul 22, 2020, at 10:39 AM, Ronaldo Mata <[email protected]>
>> wrote:
>>
>> Hi Kovy, I'm using csv module, but I need to handle the delimiters of the
>> files, sometimes you come separated by "," others by ";" and rarely by "|"
>>
>> El mié., 22 jul. 2020 a las 10:28, Kovy Jacob (<[email protected]>)
>> escribió:
>>
>>> Could you just use the standard python csv module?
>>>
>>> On Jul 22, 2020, at 10:25 AM, Ronaldo Mata <[email protected]>
>>> wrote:
>>>
>>> Hi Liu thank for your answer.
>>>
>>> This has been a headache, I am trying to read the file using
>>> csv.DictReader initially i had an error trying to get the dict keys when
>>> iterating by rows, and i thought it could be encoding (for this reason i
>>> wanted to prepare the view to use the correct encoding). for that reason I
>>> asked my question.
>>>
>>> 1) your first approach doesn't work, if i send utf-8 file, chardet
>>> returns ascii as encoding. it seems request.FILES ['file']. read () returns
>>> a binary with that encoding.
>>>
>>> 2) In the end I realized that the problem was the delimiter of the csv
>>> but predicting it is another problem.
>>>
>>> Anyway, it was a task that I had to do and that was my limitation. I
>>> think there must be a library that does all this, uploading a csv file is
>>> common practice in many web apps.
>>>
>>> El mar., 21 jul. 2020 a las 13:47, Liu Zheng (<[email protected]>)
>>> escribió:
>>>
>>>> Hi. First of all, I think it's impossible to perfectly detect encoding
>>>> without further information. See the answer in this SO post:
>>>> https://stackoverflow.com/questions/436220/how-to-determine-the-encoding-of-text
>>>>  There
>>>> are many packages and tools to help detect encoding format, but keep in
>>>> mind that they are only giving educated guesses. (Most of the time, the
>>>> guess is correct, but do check the dev page to see whether there are known
>>>> issues related to your problem.)
>>>>
>>>> Now let's say you have decided to use chardet. Check its doc page for
>>>> the usage: https://chardet.readthedocs.io/en/latest/usage.html#usage You'll
>>>> have more than one solutions. Here are some examples:
>>>>
>>>> 1. If the files uploaded to your server are all expected to be small
>>>> csv files (less than a few MB and not many users do it concurrently), you
>>>> can do the following:
>>>>
>>>> #in the view to handle the uploaded file: (assume file input name is
>>>> just "file")
>>>> file_content = request.FILES['file'].read()
>>>> chardet.detect(file_content)
>>>>
>>>> 2. Also, chardet seems to support incremental (line-by-line) detection
>>>> https://chardet.readthedocs.io/en/latest/usage.html#example-detecting-encoding-incrementally
>>>>
>>>> Given this, we can also read from requests.FILES line by line and pass
>>>> each line to chardet
>>>>
>>>> from chardet.universaldetector import UniversalDetector
>>>>
>>>> #somewhere in a view function
>>>> detector = UniversalDetector()
>>>> file_handle = request.FILES['file']
>>>> for line in file_handle:
>>>>     detector.feed(line)
>>>>     if detector.done: break
>>>> detector.close()
>>>> # result available as a dict at detector.result
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> On Tuesday, July 21, 2020 at 7:09:35 AM UTC+8, Ronaldo Mata wrote:
>>>>>
>>>>> How to deal with encoding when you try to read a csv file on view.
>>>>>
>>>>> I have a view to upload csv file, in this view I read file and save
>>>>> each row as new record.
>>>>>
>>>>> My bug is when I try to upload a csv file with a differente encoding
>>>>> (not UTF-8)
>>>>>
>>>>> how to handle this on django (using request.FILES) I was researching
>>>>> and I found chardet but I don't know how to pass it a request.FILES. I 
>>>>> need
>>>>> help please.
>>>>>
>>>>
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