Heroku worker does not work - django

Question

I am following Heroku's documentation about workers but never succeeded. There is a module util.py which will be run as a background job:
util.py:
import requests
def count_words_at_url(url):
resp = requests.get(url)
return len(resp.text.split())
And to put utils.py to the worker's queue:
from utils import count_words_at_url
from rq import Queue
from worker import conn
q = Queue(connection=conn)
result = q.enqueue(count_words_at_url, 'http://heroku.com')
Question1: I would like to know how q.enqueue(...) works. I suppose that the first argument (count_words_at_url is the function name and the second argument ('http://heroku.com') will be used as the count_words_at_url function's argument.
If I am correct, why is resp = requests.get(url) necessary to get that argument? Why not just return len(url.split())?
EDIT:
Question 2: In order to be able to upload large files (Heroku always terminate such a request due to TIMEOUT), I would like to pass an HTTP request to a function which will be run as a background job:
urls.py:
urlpatterns = [
url(r'upload/', views.upload),
]
views.py
def upload(request):
if request.method=='GET':
return render(request, 'upload/upload.html')
# POST
q = Queue(connection=conn)
q.enqueue(uploadFile, request)
return render(request, 'upload/upload.html')
def uploadFile(request):
# Upload files to Google Storage
fileToUpload = request.FILES.get('fileToUpload')
cloudFilename = 'uploads/' + fileToUpload.name
conn = boto.connect_gs(gs_access_key_id=GS_ACCESS_KEY,
gs_secret_access_key=GS_SECRET_KEY)
bucket = conn.get_bucket(GS_BUCKET_NAME)
fpic = boto.gs.key.Key(bucket)
fpic.key = cloudFilename
# Public read:
fpic.set_contents_from_file(fileToUpload, policy='public-read')
upload.html:
...
<form method=post action="/upload/" enctype=multipart/form-data>
{% csrf_token %}
<input type=file name=fileToUpload><br><br>
<input type=submit value=Upload>
</form>
...
I got the error message: Cannot serialize socket object
Turn out that I cannot pass a socket object to a forked process. Is there any other solution for large file uploading? Thanks.

Answer 1

The clue to 1 is in the name of the function. It doesn't say "count words in URL", it says "count words at URL". In other words, it needs to go and get the page that is referenced by the URL, then count the words on it. That's what requests.get() does.
I don't understand what you're asking in point 2.