154 lines
6.8 KiB
Python
154 lines
6.8 KiB
Python
from services.db import local_session
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from resolvers.model import (
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NotificationReaction,
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Notification as NotificationMessage,
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NotificationGroup,
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NotificationShout,
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NotificationAuthor,
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NotificationsResult,
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)
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from orm.notification import NotificationSeen
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from typing import Dict
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import time, json
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import strawberry
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from sqlalchemy.orm import aliased
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from sqlalchemy import select, and_
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async def get_notifications_grouped(
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author_id: int, after: int = 0, limit: int = 10, offset: int = 0, mark_as_read=False
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) -> Dict[str, NotificationGroup]:
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"""
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Retrieves notifications for a given author.
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Args:
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author_id (int): The ID of the author for whom notifications are retrieved.
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session: Database connection session
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after (int, optional): If provided, only notifications created after this timestamp will be considered.
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limit (int, optional): The maximum number of notifications to retrieve.
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Returns:
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Dict[str, NotificationGroup]: A dictionary where keys are thread IDs and values are NotificationGroup objects.
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This function queries the database to retrieve notifications for the specified author, considering optional filters.
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The result is a dictionary where each key is a thread ID, and the corresponding value is a NotificationGroup
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containing information about the notifications within that thread.
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NotificationGroup structure:
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{
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entity: str, # Type of entity (e.g., 'reaction', 'shout', 'follower').
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updated_at: int, # Timestamp of the latest update in the thread.
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reactions: List[Reaction], # List of reactions within the thread.
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authors: List[Author], # List of authors involved in the thread.
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}
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"""
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NotificationSeenAlias = aliased(NotificationSeen)
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query = select(NotificationMessage, NotificationSeenAlias.viewer.label("seen")).outerjoin(
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NotificationSeen,
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and_(NotificationSeen.viewer == author_id, NotificationSeen.notification == NotificationMessage.id),
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)
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if after:
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query = query.filter(NotificationMessage.created_at > after)
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query = query.group_by(NotificationSeen.notification)
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notifications: Dict[str, NotificationGroup] = {}
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counter = 0
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with local_session() as session:
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for n, seen in session.execute(query):
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thread_id = ""
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payload = json.loads(n.payload)
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print(f"[resolvers.schema] {n.action} {n.entity}: {payload}")
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if n.entity == "shout":
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shout: NotificationShout = payload
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thread_id += f"{shout.id}"
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if n.action == "delete":
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del notifications[thread_id]
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elif n.action == "create":
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print(f"[resolvers.schema] create shout: {shout}")
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notification_group = NotificationGroup(
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entity=n.entity,
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shout=shout,
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authors=shout.authors,
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updated_at=shout.created_at,
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reactions=[],
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action="create",
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)
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# store group in result
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notifications[thread_id] = notification_group
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counter += 1
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elif n.entity == "reaction":
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reaction: NotificationReaction = payload
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shout: NotificationShout = reaction.shout
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thread_id += f"{reaction.shout}"
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if reaction.kind == "LIKE" or reaction.kind == "DISLIKE":
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# TODO: making published reaction vote announce
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pass
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elif reaction.kind == "COMMENT":
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if reaction.reply_to:
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thread_id += f"{'::' + str(reaction.reply_to)}"
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notification_group: NotificationGroup | None = notifications.get(thread_id)
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if notification_group:
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notification_group.shout = shout
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notification_group.authors.append(reaction.created_by)
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if not notification_group.reactions:
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notification_group.reactions = []
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notification_group.reactions.append(reaction.id)
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# store group in result
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notifications[thread_id] = notification_group
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counter += 1
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else:
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counter += 1
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if counter > limit:
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break
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else:
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# init notification group
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reactions = []
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reactions.append(reaction.id)
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notification_group = NotificationGroup(
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action=n.action,
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entity=n.entity,
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updated_at=reaction.created_at,
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reactions=reactions,
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shout=shout,
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authors=[
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reaction.created_by,
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],
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)
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# store group in result
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notifications[thread_id] = notification_group
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elif n.entity == "follower":
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thread_id = "followers"
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follower: NotificationAuthor = payload
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notification_group = notifications.get(thread_id)
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if not notification_group:
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notification_group = NotificationGroup(
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authors=[follower],
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updated_at=int(time.time()),
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shout=None,
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reactions=[],
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entity="follower",
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action="follow",
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)
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# store group in result
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notifications[thread_id] = notification_group
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counter += 1
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if counter > limit:
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break
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return notifications
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@strawberry.type
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class Query:
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@strawberry.field
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async def load_notifications(self, info, after: int, limit: int = 50, offset: int = 0) -> NotificationsResult:
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author_id = info.context.get("author_id")
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notification_groups: Dict[str, NotificationGroup] = {}
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if author_id:
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# TODO: add total counter calculation
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# TODO: add unread counter calculation
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notification_groups = await get_notifications_grouped(author_id, after, limit, offset)
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notifications = sorted(notification_groups.values(), key=lambda group: group.updated_at, reverse=True)
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return NotificationsResult(notifications=notifications, total=0, unread=0, error=None)
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