Source code for api.v1.serializers.daemon_serializers.BaseDaemonSerializer

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"""Module with the :class:`BaseDaemonSerializer` serializer class."""

from __future__ import annotations

from typing import TYPE_CHECKING, Any, ClassVar, Final, override

from django.core.exceptions import ValidationError
from django_celery_beat.models import IntervalSchedule
from rest_framework import serializers

from api.v1.serializers.django_celery_beat_serializers import (
    IntervalScheduleSerializer,
    PeriodicTaskSerializer,
)
from core.models import Daemon, Mailbox

if TYPE_CHECKING:
    from django.db.models import Model


[docs] class BaseDaemonSerializer(serializers.ModelSerializer[Daemon]): """The base serializer for :class:`core.models.Daemon`. Includes all viable fields from the model. Sets all constraints that must be implemented in all serializers. Other serializers for :class:`core.models.Daemon` should inherit from this. """ interval = IntervalScheduleSerializer() """The interval is serialized by :class:`api.v1.serializers.django_celery_beat_serializers.IntervalScheduleSerializer`. It can be altered. """ celery_task = PeriodicTaskSerializer(read_only=True) """The celery_task is serialized by :class:`api.v1.serializers.django_celery_beat_serializers.PeriodicTaskSerializer`. """
[docs] class Meta: """Metadata class for the base serializer. Contains constraints that must be implemented by all serializers. Other serializer metaclasses should inherit from this. :attr:`read_only_fields` and :attr:`exclude` must not be shortened in subclasses. """ model: Final[type[Model]] = Daemon """The model to serialize.""" fields: ClassVar[str] = "__all__" """Include all fields.""" read_only_fields: Final[list[str]] = [ "uuid", "is_healthy", "last_error", "last_error_occurred_at", "created", "updated", ] """The :attr:`core.models.Daemon.Daemon.uuid`, :attr:`core.models.Daemon.Daemon.is_healthy`, :attr:`core.models.Daemon.Daemon.created` and :attr:`core.models.Daemon.Daemon.updated` fields are read-only. """
[docs] @override def validate(self, attrs: dict[str, Any]) -> dict[str, Any]: """Include full model-side validation to allow testing of account on submission. Args: attrs: The attributes on the serializer. Returns: The same attributes. Raises: serializers.ValidationError: If the validation fails. """ instance = self.instance or self.Meta.model() for attr, value in attrs.items(): if attr == "interval": instance.interval = IntervalSchedule( every=value["every"], period=value["period"] ) else: setattr(instance, attr, value) try: instance.clean() except ValidationError as error: raise serializers.ValidationError( error.message_dict or error.messages ) from error return attrs
[docs] def validate_mailbox(self, value: Mailbox) -> Mailbox: """Validate that the given mailbox belongs to the requesting user.""" if ( "request" not in self.context or value.account.user != self.context["request"].user ): raise serializers.ValidationError("No mailbox with that id found.") return value
[docs] @override def update(self, instance: Daemon, validated_data: dict) -> Daemon: """Extended to add the intervaldata to the instance. Important: The nested intervaldata must be popped as update does not support nested dicts! There should not be duplicate IntervalSchedules. https://django-celery-beat.readthedocs.io/en/latest/index.html#example-creating-interval-based-periodic-task """ interval_data = validated_data.pop("interval", None) if interval_data: instance.interval, _ = IntervalSchedule.objects.get_or_create( every=interval_data["every"], period=interval_data["period"], ) return super().update(instance, validated_data)
[docs] @override def create(self, validated_data: dict) -> Daemon: """Extended to add the intervaldata to the instance. Important: The nested intervaldata must be popped as create does not support nested dicts! There should not be duplicate IntervalSchedules. https://django-celery-beat.readthedocs.io/en/latest/index.html#example-creating-interval-based-periodic-task """ interval_data = validated_data.pop("interval") interval, _ = IntervalSchedule.objects.get_or_create( every=interval_data["every"], period=interval_data["period"], ) return super().create({**validated_data, "interval": interval})