Mini Shell

"""Database models used by the SQLAlchemy result store backend."""
from datetime import datetime, timezone

import sqlalchemy as sa
from sqlalchemy.types import PickleType

from celery import states

from .session import ResultModelBase

__all__ = ('Task', 'TaskExtended', 'TaskSet')


class Task(ResultModelBase):
    """Task result/status."""

    __tablename__ = 'celery_taskmeta'
    __table_args__ = {'sqlite_autoincrement': True}

    id = sa.Column(sa.Integer, sa.Sequence('task_id_sequence'),
                   primary_key=True, autoincrement=True)
    task_id = sa.Column(sa.String(155), unique=True)
    status = sa.Column(sa.String(50), default=states.PENDING)
    result = sa.Column(PickleType, nullable=True)
    date_done = sa.Column(sa.DateTime, default=datetime.now(timezone.utc),
                          onupdate=datetime.now(timezone.utc), nullable=True)
    traceback = sa.Column(sa.Text, nullable=True)

    def __init__(self, task_id):
        self.task_id = task_id

    def to_dict(self):
        return {
            'task_id': self.task_id,
            'status': self.status,
            'result': self.result,
            'traceback': self.traceback,
            'date_done': self.date_done,
        }

    def __repr__(self):
        return '<Task {0.task_id} state: {0.status}>'.format(self)

    @classmethod
    def configure(cls, schema=None, name=None):
        cls.__table__.schema = schema
        cls.id.default.schema = schema
        cls.__table__.name = name or cls.__tablename__


class TaskExtended(Task):
    """For the extend result."""

    __tablename__ = 'celery_taskmeta'
    __table_args__ = {'sqlite_autoincrement': True, 'extend_existing': True}

    name = sa.Column(sa.String(155), nullable=True)
    args = sa.Column(sa.LargeBinary, nullable=True)
    kwargs = sa.Column(sa.LargeBinary, nullable=True)
    worker = sa.Column(sa.String(155), nullable=True)
    retries = sa.Column(sa.Integer, nullable=True)
    queue = sa.Column(sa.String(155), nullable=True)

    def to_dict(self):
        task_dict = super().to_dict()
        task_dict.update({
            'name': self.name,
            'args': self.args,
            'kwargs': self.kwargs,
            'worker': self.worker,
            'retries': self.retries,
            'queue': self.queue,
        })
        return task_dict


class TaskSet(ResultModelBase):
    """TaskSet result."""

    __tablename__ = 'celery_tasksetmeta'
    __table_args__ = {'sqlite_autoincrement': True}

    id = sa.Column(sa.Integer, sa.Sequence('taskset_id_sequence'),
                   autoincrement=True, primary_key=True)
    taskset_id = sa.Column(sa.String(155), unique=True)
    result = sa.Column(PickleType, nullable=True)
    date_done = sa.Column(sa.DateTime, default=datetime.now(timezone.utc),
                          nullable=True)

    def __init__(self, taskset_id, result):
        self.taskset_id = taskset_id
        self.result = result

    def to_dict(self):
        return {
            'taskset_id': self.taskset_id,
            'result': self.result,
            'date_done': self.date_done,
        }

    def __repr__(self):
        return f'<TaskSet: {self.taskset_id}>'

    @classmethod
    def configure(cls, schema=None, name=None):
        cls.__table__.schema = schema
        cls.id.default.schema = schema
        cls.__table__.name = name or cls.__tablename__