2022-11-09 22:48:31 -08:00
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from asgiref.sync import sync_to_async
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from django.db import models
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from stator.models import State, StateField, StateGraph, StatorModel
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class InboxMessageStates(StateGraph):
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received = State(try_interval=300)
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processed = State()
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received.transitions_to(processed)
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@classmethod
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async def handle_received(cls, instance: "InboxMessage"):
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2022-11-11 21:02:43 -08:00
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from activities.models import Post
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from users.models import Follow
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match instance.message_type:
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case "follow":
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await sync_to_async(Follow.handle_request_ap)(instance.message)
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case "create":
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match instance.message_object_type:
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case "note":
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await sync_to_async(Post.handle_create_ap)(instance.message)
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case unknown:
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raise ValueError(
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f"Cannot handle activity of type create.{unknown}"
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)
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case "accept":
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match instance.message_object_type:
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case "follow":
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await sync_to_async(Follow.handle_accept_ap)(instance.message)
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case unknown:
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raise ValueError(
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f"Cannot handle activity of type accept.{unknown}"
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)
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case "undo":
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match instance.message_object_type:
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case "follow":
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await sync_to_async(Follow.handle_undo_ap)(instance.message)
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case unknown:
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raise ValueError(
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f"Cannot handle activity of type undo.{unknown}"
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)
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case unknown:
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raise ValueError(f"Cannot handle activity of type {unknown}")
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2022-11-10 22:42:43 -08:00
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return cls.processed
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2022-11-09 22:48:31 -08:00
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class InboxMessage(StatorModel):
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"""
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an incoming inbox message that needs processing.
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Yes, this is kind of its own message queue built on the state graph system.
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It's fine. It'll scale up to a decent point.
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"""
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message = models.JSONField()
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state = StateField(InboxMessageStates)
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2022-11-10 22:42:43 -08:00
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@property
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def message_type(self):
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return self.message["type"].lower()
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2022-11-09 22:48:31 -08:00
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2022-11-11 21:02:43 -08:00
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@property
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def message_object_type(self):
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return self.message["object"]["type"].lower()
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2022-11-12 20:14:21 -08:00
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@property
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def message_actor(self):
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return self.message.get("actor")
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