NewsBlur-viq/apps/analyzer/views.py

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from django.shortcuts import render_to_response, get_list_or_404, get_object_or_404
from django.contrib.auth.decorators import login_required
from django.template import RequestContext
from django.db import IntegrityError
from django.core.cache import cache
from django.contrib.auth.models import User
from django.http import HttpResponse, HttpRequest
from django.core import serializers
from django.utils.safestring import mark_safe
from django.views.decorators.cache import cache_page
from django.views.decorators.http import require_POST
from apps.rss_feeds.models import Feed, Story, Tag, StoryAuthor
from apps.reader.models import UserSubscription, UserStory
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from apps.analyzer.models import ClassifierTitle, ClassifierAuthor, ClassifierFeed, ClassifierTag, get_classifiers_for_user
from utils import json
from utils.user_functions import get_user
import logging
import datetime
import random
def index(requst):
pass
@require_POST
@json.json_view
def save_classifier_story(request):
post = request.POST
facets = post.getlist('facet')
code = 0
message = 'OK'
payload = {}
feed = Feed.objects.get(pk=post['feed_id'])
story = Story.objects.get(pk=post['story_id'])
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score = int(post['score'])
if 'title' in post and 'title' in facets:
classifier_title, created = ClassifierTitle.objects.get_or_create(
user=request.user,
title=post['title'],
feed=feed,
defaults={
'original_story': story,
'score': score,
})
if not created:
classifier_title.score = score
classifier_title.save()
if 'author' in facets:
author = story.story_author
classifier_author, created = ClassifierAuthor.objects.get_or_create(
user=request.user,
author=author,
feed=feed,
defaults={
'original_story': story,
'score': score,
})
if not created:
classifier_author.score = score
classifier_author.save()
if 'publisher' in facets:
classifier_feed, created = ClassifierFeed.objects.get_or_create(
user=request.user,
feed=feed,
defaults={
'original_story': story,
'score': score,
})
if not created:
classifier_feed.score = score
classifier_feed.save()
if 'tag' in post:
tags = post.getlist('tag')
for tag_name in tags:
tag = Tag.objects.get(name=tag_name, feed=feed)
classifier_tag, created = ClassifierTag.objects.get_or_create(
user=request.user,
tag=tag,
feed=feed,
defaults={
'original_story': story,
'score': score,
})
print classifier_tag, classifier_tag.score, created, score
if not created:
classifier_tag.score = score
classifier_tag.save()
response = dict(code=code, message=message, payload=payload)
return response
@require_POST
@json.json_view
def save_classifier_publisher(request):
post = request.POST
feed = Feed.objects.get(pk=post['feed_id'])
code = 0
message = 'OK'
payload = {}
def _save_classifier(ClassifierCls, content_type, ContentCls=None, post_content_field=None):
for opinion, score in {'like_'+content_type: 1, 'dislike_'+content_type: -2}.items():
if opinion in post:
post_contents = post.getlist(opinion)
for post_content in post_contents:
classifier_dict = {
'user': request.user,
'feed': feed,
'defaults': {
'score': score
}
}
if content_type in ('author', 'tag'):
# Use content to lookup object. Authors, Tags.
content_dict = {
post_content_field: post_content,
'feed': feed
}
content = ContentCls.objects.get(**content_dict)
classifier_dict.update({content_type: content})
elif content_type in ('title',):
# Skip content lookup and just use content directly. Titles.
classifier_dict.update({content_type: post_content})
classifier, _ = ClassifierCls.objects.get_or_create(**classifier_dict)
if classifier.score != score:
classifier.score = score
classifier.save()
_save_classifier(ClassifierAuthor, 'author', StoryAuthor, 'author_name')
_save_classifier(ClassifierTag, 'tag', Tag, 'name')
_save_classifier(ClassifierTitle, 'title')
_save_classifier(ClassifierFeed, 'publisher')
response = dict(code=code, message=message, payload=payload)
return response
@json.json_view
def get_classifiers_feed(request):
feed = request.POST['feed_id']
user = get_user(request)
code = 0
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payload = get_classifiers_for_user(user, feed)
response = dict(code=code, payload=payload)
return response