Python UserSubscription.feed_stories方法代码示例

# 需要导入模块: from apps.reader.models import UserSubscription [as 别名]
# 或者: from apps.reader.models.UserSubscription import feed_stories [as 别名]
def api_unread_story(request, trigger_slug=None):
    user = request.user
    body = request.body_json
    after = body.get('after', None)
    before = body.get('before', None)
    limit = body.get('limit', 50)
    fields = body.get('triggerFields')
    feed_or_folder = fields['feed_or_folder']
    entries = []

    if isinstance(feed_or_folder, int) or feed_or_folder.isdigit():
        feed_id = int(feed_or_folder)
        usersub = UserSubscription.objects.get(user=user, feed_id=feed_id)
        found_feed_ids = [feed_id]
        found_trained_feed_ids = [feed_id] if usersub.is_trained else []
        stories = usersub.get_stories(order="newest", read_filter="unread", 
                                      offset=0, limit=limit,
                                      default_cutoff_date=user.profile.unread_cutoff)
    else:
        folder_title = feed_or_folder
        if folder_title == "Top Level":
            folder_title = " "
        usf = UserSubscriptionFolders.objects.get(user=user)
        flat_folders = usf.flatten_folders()
        feed_ids = None
        if folder_title != "all":
            feed_ids = flat_folders.get(folder_title)
        usersubs = UserSubscription.subs_for_feeds(user.pk, feed_ids=feed_ids,
                                                   read_filter="unread")
        feed_ids = [sub.feed_id for sub in usersubs]
        params = {
            "user_id": user.pk, 
            "feed_ids": feed_ids,
            "offset": 0,
            "limit": limit,
            "order": "newest",
            "read_filter": "unread",
            "usersubs": usersubs,
            "cutoff_date": user.profile.unread_cutoff,
        }
        story_hashes, unread_feed_story_hashes = UserSubscription.feed_stories(**params)
        mstories = MStory.objects(story_hash__in=story_hashes).order_by('-story_date')
        stories = Feed.format_stories(mstories)
        found_feed_ids = list(set([story['story_feed_id'] for story in stories]))
        trained_feed_ids = [sub.feed_id for sub in usersubs if sub.is_trained]
        found_trained_feed_ids = list(set(trained_feed_ids) & set(found_feed_ids))
    
    if found_trained_feed_ids:
        classifier_feeds = list(MClassifierFeed.objects(user_id=user.pk,
                                                        feed_id__in=found_trained_feed_ids))
        classifier_authors = list(MClassifierAuthor.objects(user_id=user.pk, 
                                                            feed_id__in=found_trained_feed_ids))
        classifier_titles = list(MClassifierTitle.objects(user_id=user.pk, 
                                                          feed_id__in=found_trained_feed_ids))
        classifier_tags = list(MClassifierTag.objects(user_id=user.pk, 
                                                      feed_id__in=found_trained_feed_ids))
    feeds = dict([(f.pk, {
        "title": f.feed_title,
        "website": f.feed_link,
        "address": f.feed_address,
    }) for f in Feed.objects.filter(pk__in=found_feed_ids)])

    for story in stories:
        if before and int(story['story_date'].strftime("%s")) > before: continue
        if after and int(story['story_date'].strftime("%s")) < after: continue
        score = 0
        if found_trained_feed_ids and story['story_feed_id'] in found_trained_feed_ids:
            score = compute_story_score(story, classifier_titles=classifier_titles, 
                                        classifier_authors=classifier_authors, 
                                        classifier_tags=classifier_tags,
                                        classifier_feeds=classifier_feeds)
            if score < 0: continue
            if trigger_slug == "new-unread-focus-story" and score < 1: continue
        feed = feeds.get(story['story_feed_id'], None)
        entries.append({
            "StoryTitle": story['story_title'],
            "StoryContent": story['story_content'],
            "StoryURL": story['story_permalink'],
            "StoryAuthor": story['story_authors'],
            "PublishedAt": story['story_date'].strftime("%Y-%m-%dT%H:%M:%SZ"),
            "StoryScore": score,
            "Site": feed and feed['title'],
            "SiteURL": feed and feed['website'],
            "SiteRSS": feed and feed['address'],
            "ifttt": {
                "id": story['story_hash'],
                "timestamp": int(story['story_date'].strftime("%s"))
            },
        })
    
    if after:
        entries = sorted(entries, key=lambda s: s['ifttt']['timestamp'])
        
    logging.user(request, "~FYChecking unread%s stories with ~SB~FCIFTTT~SN~FY: ~SB%s~SN - ~SB%s~SN stories" % (" ~SBfocus~SN" if trigger_slug == "new-unread-focus-story" else "", feed_or_folder, len(entries)))
    
    return {"data": entries[:limit]}