"""
Context model.
This module contains the Context SQLAlchemy model.
"""
from __future__ import annotations
from datetime import datetime
from sqlalchemy import TIMESTAMP, Integer, String, Text
from sqlalchemy.orm import Mapped, mapped_column, relationship
from todowrite.core.associations import (
concepts_contexts,
contexts_labels,
goals_contexts,
requirements_contexts,
)
from todowrite.core.models.base import Base
from todowrite.core.timestamp_mixins import TimestampMixin
[docs]
class Context(Base, TimestampMixin):
"""ToDoWrite Context model for hierarchical task management."""
__tablename__ = "contexts"
# Primary key convention
id: Mapped[int] = mapped_column(
Integer, primary_key=True, autoincrement=True, nullable=False
)
# Model fields
title: Mapped[str] = mapped_column(String, nullable=False)
description: Mapped[str | None] = mapped_column(Text)
status: Mapped[str] = mapped_column(String, default="planned")
progress: Mapped[int | None] = mapped_column(Integer)
started_on: Mapped[datetime | None] = mapped_column(
TIMESTAMP, nullable=True
)
ended_on: Mapped[datetime | None] = mapped_column(TIMESTAMP, nullable=True)
# Metadata fields
owner: Mapped[str | None] = mapped_column(String)
severity: Mapped[str | None] = mapped_column(String)
work_type: Mapped[str | None] = mapped_column(String)
assignee: Mapped[str | None] = mapped_column(String)
# JSON fields for complex data
extra_data: Mapped[str | None] = mapped_column(Text)
# Relationships
labels: Mapped[list[Label]] = relationship(
"Label", secondary=contexts_labels, back_populates="contexts"
)
# belongs_to :concepts (through concepts_contexts)
concepts: Mapped[list[Concept]] = relationship(
"Concept", secondary=concepts_contexts, back_populates="contexts"
)
# belongs_to :goals (through goals_contexts)
goals: Mapped[list[Goal]] = relationship(
"Goal", secondary=goals_contexts, back_populates="contexts"
)
# belongs_to :requirements (through requirements_contexts)
requirements: Mapped[list[Requirements]] = relationship(
"Requirements",
secondary=requirements_contexts,
back_populates="contexts",
)