I’m confused. I don’t know if I can help.

> On Jul 22, 2020, at 11:11 AM, Liu Zheng <[email protected]> wrote:
> 
> 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] 
> <mailto:[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] 
>> <mailto:[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] 
>> <mailto:[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] 
>>> <mailto:[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] 
>>> <mailto:[email protected]>>) escribió:
>>> Could you just use the standard python csv module?
>>> 
>>>> On Jul 22, 2020, at 10:25 AM, Ronaldo Mata <[email protected] 
>>>> <mailto:[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] 
>>>> <mailto:[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
>>>>  
>>>> <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 
>>>> <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
>>>>  
>>>> <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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