view user_photos/forms.py @ 861:e4f8d87c3d30

Configure Markdown logger to reduce noise in logs. Markdown is logging at the INFO level whenever it loads an extension. This looks like it has been fixed in master at GitHub. But until then we will explicitly configure the MARKDOWN logger to log at WARNING or higher.
author Brian Neal <bgneal@gmail.com>
date Mon, 01 Dec 2014 18:36:27 -0600
parents b6e98717690b
children 51a2051588f5
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"""Forms for the user_photos application."""
import datetime
import hashlib

from django import forms
from django.conf import settings

from core.s3 import S3Bucket
from core.image_uploader import upload
from core.services import get_redis_connection
from user_photos.models import Photo


def rate_limit(key, limit, seconds):
    """Use Redis to do a rate limit check. Returns True if the limit is violated
    and False otherwise.

    key - the key to check in Redis
    limit - the rate limit maximum value
    seconds - the rate limit period in seconds

    """
    conn = get_redis_connection()
    val = conn.incr(key)
    if val == 1:
        conn.expire(key, seconds)
    return val > limit


class UploadForm(forms.Form):
    image_file = forms.ImageField()

    def __init__(self, *args, **kwargs):
        self.user = kwargs.pop('user')
        super(UploadForm, self).__init__(*args, **kwargs)

    def clean(self):
        cleaned_data = super(UploadForm, self).clean()

        # rate limit uploads
        key = 'user_photos:counts:' + self.user.username
        limit = settings.USER_PHOTOS_RATE_LIMIT
        if rate_limit(key, *limit):
            raise forms.ValidationError("You've exceeded your upload quota. "
                    "Please try again later.")

        return cleaned_data

    def save(self):
        """Processes the image and creates a new Photo object, which is saved to
        the database. The new Photo instance is returned.

        Note that we do de-duplication. A signature is computed for the photo.
        If the user has already uploaded a file with the same signature, that
        photo object is returned instead.

        This function should only be called if is_valid() returns True.

        """
        # Check for duplicate uploads from this user
        signature = self._signature()
        try:
            return Photo.objects.get(user=self.user, signature=signature)
        except Photo.DoesNotExist:
            pass

        # This must not be a duplicate, proceed with upload to S3
        bucket = S3Bucket(access_key=settings.USER_PHOTOS_ACCESS_KEY,
                          secret_key=settings.USER_PHOTOS_SECRET_KEY,
                          base_url=settings.USER_PHOTOS_BASE_URL,
                          bucket_name=settings.USER_PHOTOS_BUCKET)

        now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
        metadata = {'user': self.user.username, 'date': now}

        url, thumb_url = upload(fp=self.cleaned_data['image_file'],
                                bucket=bucket,
                                metadata=metadata,
                                new_size=settings.USER_PHOTOS_MAX_SIZE,
                                thumb_size=settings.USER_PHOTOS_THUMB_SIZE)

        photo = Photo(user=self.user, url=url, thumb_url=thumb_url,
                signature=signature)
        photo.save()
        return photo

    def _signature(self):
        """Calculates and returns a signature for the image file as a hex digest
        string.

        This function should only be called if is_valid() is True.

        """
        fp = self.cleaned_data['image_file']
        md5 = hashlib.md5()
        for chunk in fp.chunks():
            md5.update(chunk)
        return md5.hexdigest()