You might have to make sure that my indentation there is correct.
Also, I noticed something else about your code: you are assigning 2-tuples
to all of your data types rather than strings when you do
data.PersonID=row[0],
data.FirstName=row[1],
data.LastName=row[2],
data.Address=row[3],
You might actually be aware of this, but I once spent 4 hours debugging
before I realized this on a previous project.
weapons = ('fear', 'surprise', 'fanatical devotion to the pope',)
clearly creates a 3-item tuple. But so does
weapons = 'fear', 'surprise', 'fanatical devotion to the pope',
and in fact
weapons = 'fear',
creates a 1-item tuple.
On Fri, Apr 24, 2015 at 12:33 AM, Andrew Farrell <armorsmit...@gmail.com>
wrote:
> could you replace your function with
> def readcsvfile(request):
> with open('/var/www/html/webapp/csvupload/data.csv','rb') as csvfile:
> readata=csv.reader(csvfile,delimiter=';', quotechar='|')
> #readata=csv.reader(csvfile)
> for i, row in enumerate(readata):
> try:
> data=test()
> data.PersonID=row[0],
> data.FirstName=row[1],
> data.LastName=row[2],
> data.Address=row[3],
> data.save()
> except Exception, e:
> import pdb;pdb.set_trace()
> print i
> print row
> print row[1]
> raise e
> return render_to_response('csv_test.html',locals())
>
> And then re-run this again? When you hit the offending row of data, it
> should pop you into the python debugger
> <https://docs.python.org/2/library/pdb.html>. type 'print row<enter>' and
> you should see what the problem is. If not type 'next<enter>' and step
> though the code.
>
> You can execute arbitrary python from the debugger and once you figure out
> the problem, I encourage you to play around with it. Aside from
> pedantically explaining to yourself what you think going on, pdb is one of
> the most generally useful tools.
>
> On Fri, Apr 24, 2015 at 12:01 AM, sum abiut <suab...@gmail.com> wrote:
>
>> Hi,
>> could you please help me figure out why i am getting this error i am
>> trying to import data from csv file to model buty i am getting the error:
>> *list
>> index out of range* and if refering to line 20 on view which is:
>> *data.FirstName=row[1]*
>>
>> view.py
>> def readcsvfile(request):
>> with open('/var/www/html/webapp/csvupload/data.csv','rb') as csvfile:
>> readata=csv.reader(csvfile,delimiter=';', quotechar='|')
>> #readata=csv.reader(csvfile)
>> for row in readata:
>> data=test()
>> data.PersonID=row[0],
>> data.FirstName=row[1],
>> data.LastName=row[2],
>> data.Address=row[3],
>> data.save()
>> return render_to_response('csv_test.html',locals())
>>
>>
>>
>> model.py
>>
>> class test(models.Model):
>> PersonID = models.CharField(max_length=45)
>> FirstName = models.CharField(max_length=45)
>> LastName = models.CharField(max_length=45)
>> Address = models.CharField(max_length=45)
>>
>>
>> here is the traceback:
>>
>> -
>>
>> /var/www/html/env/local/lib/python2.7/site-packages/django/core/handlers/base.py
>> in get_response
>> response = wrapped_callback(request, *callback_args,
>> **callback_kwargs
>>
>> <http://10.0.142.35:8000/readcsvfile/#>
>> /var/www/html/webapp/csvapp/views.py in readcsvfile
>> data.FirstName=row[1],
>>
>> <http://10.0.142.35:8000/readcsvfile/#>
>>
>> Cheers,
>> Sum
>>
>>
>> On Wed, Apr 1, 2015 at 1:51 PM, sum abiut <suab...@gmail.com> wrote:
>>
>>> Thanks guys,
>>> appreciate your help. Yes i am looking to have a form that accepts CSV
>>> files. I will have a read on the link that you guys have provided and see
>>> how it goes.
>>>
>>> Cheers
>>>
>>>
>>>
>>> On Wed, Apr 1, 2015 at 11:44 AM, Andrew Farrell <armorsmit...@gmail.com>
>>> wrote:
>>>
>>>> Hello Sum,
>>>>
>>>> There are two approaches you could take.
>>>> One is to install a plugin like django-import-export
>>>> <https://django-import-export.readthedocs.org/en/latest/> and then use
>>>> it's import functionality. Its been a while since I've done this, but when
>>>> I did under django-1.4 it Just Worked. This is the best approach if you
>>>> know your data is clean and doesn't require any sort of processing before
>>>> saving it.
>>>>
>>>> The other is to write a custom manage.py command
>>>> <https://docs.djangoproject.com/en/1.7/howto/custom-management-commands/>.
>>>> This would let you load the data using a csv.DictReader
>>>> <https://docs.python.org/2/library/csv.html#csv.DictReader>, do some
>>>> logic on it, and then bulk-create
>>>> <https://docs.djangoproject.com/en/dev/ref/models/querysets/#bulk-create>
>>>> objects
>>>> in the database. This approach has the disadvantage that if you have a bug
>>>> in your processing script, you will end up adding messy data to your
>>>> database and having to clean it up. To avoid this, you could write a unit
>>>> test case
>>>> <https://docs.djangoproject.com/en/1.7/topics/testing/overview/> which
>>>> calls your import function in its setUp() method. This testcase would
>>>> create a separate test database, import the data into it, run your test
>>>> functions, and then clear the test database. This approach would also let
>>>> you, for example, deliberately insert malformed info into the data and
>>>> verify that your import function would catch those errors.
>>>>
>>>> On Tue, Mar 31, 2015 at 6:46 PM, sum abiut <suab...@gmail.com> wrote:
>>>>
>>>>> Hi,
>>>>> Could someone please advise this i am trying to import data from csv
>>>>> file or write to database but i am confuse on how to start. i am using
>>>>> sqllite database.
>>>>>
>>>>> Cheers,
>>>>>
>>>>>
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>>>> <https://groups.google.com/d/msgid/django-users/CA%2By5TLbaBcs8%2BrJsNmXFknRGNTC5%2BOr3URs53eiFBM8GLekmcA%40mail.gmail.com?utm_medium=email&utm_source=footer>
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>>>
>>>
>>>
>>>
>>
>>
>>
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