mirror of
https://github.com/tanrax/org-social-relay
synced 2026-01-10 15:03:33 +01:00
196 lines
7.2 KiB
Python
196 lines
7.2 KiB
Python
from rest_framework.views import APIView
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from rest_framework.response import Response
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from rest_framework import status
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from django.core.cache import cache
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from django.db.models import Q
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import logging
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from app.feeds.models import Profile, Post, Mention
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logger = logging.getLogger(__name__)
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class NotificationsView(APIView):
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"""Get all notifications (mentions, reactions, and replies) for a specific feed URL"""
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def get(self, request):
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feed_url = request.query_params.get("feed")
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notification_type = request.query_params.get("type", "").strip().lower()
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if not feed_url or not feed_url.strip():
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return Response(
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{
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"type": "Error",
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"errors": ["Feed URL parameter is required"],
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"data": None,
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},
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status=status.HTTP_400_BAD_REQUEST,
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)
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feed_url = feed_url.strip()
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# Validate type parameter if provided
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valid_types = ["mention", "reaction", "reply", "boost"]
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if notification_type and notification_type not in valid_types:
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return Response(
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{
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"type": "Error",
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"errors": [
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f"Invalid type parameter. Must be one of: {', '.join(valid_types)}"
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],
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"data": None,
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},
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status=status.HTTP_400_BAD_REQUEST,
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)
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# Try to get notifications from cache first
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cache_key = f"notifications_{feed_url}_{notification_type}"
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cached_response = cache.get(cache_key)
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if cached_response is not None:
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return Response(cached_response, status=status.HTTP_200_OK)
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# Check if the profile exists
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try:
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profile = Profile.objects.get(feed=feed_url)
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except Profile.DoesNotExist:
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return Response(
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{
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"type": "Error",
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"errors": ["Profile not found for the given feed URL"],
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"data": None,
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},
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status=status.HTTP_404_NOT_FOUND,
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)
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notifications_data = []
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counts = {"mentions": 0, "reactions": 0, "replies": 0, "boosts": 0}
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# Get all post IDs from this profile (for reactions and replies)
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profile_post_ids = list(profile.posts.values_list("post_id", flat=True))
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reply_to_patterns = [f"{feed_url}#{post_id}" for post_id in profile_post_ids]
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# 1. Get mentions (if not filtering or filtering for mentions)
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if not notification_type or notification_type == "mention":
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mentions = (
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Mention.objects.filter(mentioned_profile=profile)
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.select_related("post", "post__profile")
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.order_by("-post__post_id")
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)
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for mention in mentions:
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notifications_data.append(
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{
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"type": "mention",
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"post": f"{mention.post.profile.feed}#{mention.post.post_id}",
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"_sort_key": mention.post.post_id, # For sorting
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}
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)
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counts["mentions"] = len(mentions)
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# 2. Get reactions (if not filtering or filtering for reactions)
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if not notification_type or notification_type == "reaction":
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reactions = (
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Post.objects.filter(reply_to__in=reply_to_patterns, mood__isnull=False)
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.exclude(mood="")
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.select_related("profile")
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.order_by("-post_id")
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)
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for reaction in reactions:
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notifications_data.append(
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{
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"type": "reaction",
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"post": f"{reaction.profile.feed}#{reaction.post_id}",
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"emoji": reaction.mood,
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"parent": reaction.reply_to,
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"_sort_key": reaction.post_id,
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}
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)
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counts["reactions"] = len(reactions)
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# 3. Get replies (if not filtering or filtering for replies)
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if not notification_type or notification_type == "reply":
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replies = (
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Post.objects.filter(reply_to__in=reply_to_patterns)
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.filter(Q(mood="") | Q(mood__isnull=True))
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.exclude(poll_votes__isnull=False)
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.select_related("profile")
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.order_by("-post_id")
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)
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for reply in replies:
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notifications_data.append(
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{
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"type": "reply",
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"post": f"{reply.profile.feed}#{reply.post_id}",
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"parent": reply.reply_to,
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"_sort_key": reply.post_id,
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}
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)
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counts["replies"] = len(replies)
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# 4. Get boosts (if not filtering or filtering for boosts)
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# Build include patterns (feed#post_id) for all posts from this profile
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include_patterns = [f"{feed_url}#{post_id}" for post_id in profile_post_ids]
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if not notification_type or notification_type == "boost":
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boosts = (
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Post.objects.filter(include__in=include_patterns)
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.select_related("profile")
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.order_by("-post_id")
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)
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for boost in boosts:
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notifications_data.append(
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{
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"type": "boost",
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"post": f"{boost.profile.feed}#{boost.post_id}",
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"boosted": boost.include,
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"_sort_key": boost.post_id,
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}
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)
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counts["boosts"] = len(boosts)
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# Sort all notifications by post_id (most recent first)
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notifications_data.sort(key=lambda x: x["_sort_key"], reverse=True)
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# Remove the _sort_key field from the final output
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for notification in notifications_data:
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del notification["_sort_key"]
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# URL encode the feed_url for links
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from urllib.parse import quote
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encoded_feed_url = quote(feed_url, safe="")
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response_data = {
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"type": "Success",
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"errors": [],
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"data": notifications_data,
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"meta": {
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"feed": feed_url,
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"total": len(notifications_data),
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"by_type": counts,
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},
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"_links": {
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"self": {
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"href": f"/notifications/?feed={encoded_feed_url}",
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"method": "GET",
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},
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"mentions": {
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"href": f"/mentions/?feed={encoded_feed_url}",
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"method": "GET",
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},
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"reactions": {
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"href": f"/reactions/?feed={encoded_feed_url}",
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"method": "GET",
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},
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"replies-to": {
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"href": f"/replies-to/?feed={encoded_feed_url}",
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"method": "GET",
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},
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},
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}
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# Cache permanently (will be cleared by scan_feeds task)
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cache.set(cache_key, response_data, None)
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return Response(response_data, status=status.HTTP_200_OK)
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