Actually for my case using google docs api very complicated and tiring
because I just want to get the content to make search in files. I
won't make any modification on the document. I think that using an
external service like https://secure.convert-doc.com/converters/doc-to-txt.html
might be appropriate solution.
I tried using urlfetch
file = self.request.get("file")
form_fields = {
"input_file": file,
"output_type": "txt",
"output_method": "1",
".cgifields": "output_method"
}
form_data = urllib.urlencode(form_fields)
result =
urlfetch.fetch(url="https://secure.convert-doc.com/convert-
file",
payload=form_fields,
method=urlfetch.POST,
headers={'Content-Type': 'multipart/form-
data'})
print result.content
but it gave Internal Server Error. I don't know what is wrong with it.
The system seems working normally but I could not run it with
urlfetch.
On 17 Şubat, 17:12, Ernesto Karim Oltra <ernestoka...@gmail.com>
wrote:
> Taskqueues, that's what I'm using now. To update a word document of
> about ten pages, it takes more or less 1500ms average (at least for me
> =) ). And this have a big advantage, you can take control of retries
> if docs is temporaly unavailable.
>
> Another useful option would be to store a cache in datastore with some
> common used data. For example, i have a downloads section, containing
> some documents stored in google docs. Hourly (it may be five minutes
> or 3 days, whatever you want) cron gets the titles, the URL of the
> document, etc. and save in datastore. Then I haven't got to deal with
> docs when building responses to a user, only use the data cached
> locally.
>
> On 17 feb, 02:41, Calvin <calvin.r...@gmail.com> wrote:
>
>
>
>
>
>
>
> > I think he means that importing and retrieving the converted document using
> > the gdata api may not always be possible within the 30 second limit of a
> > user-facing app engine request.
>
> > If that's the case it would be a good idea to do the conversion using a task
> > queue, which has a much higher limit.
>
> > Another thing to keep in mind is that Google Docs has a size limit on word
> > documents that it will import.
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