Files
codetutor/backend/src/models/pattern.py

54 lines
2.2 KiB
Python

from typing import TYPE_CHECKING, Any
from sqlalchemy import Integer, String, Text
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import Mapped, mapped_column, relationship
from src.models.base import Base, UUIDMixin
if TYPE_CHECKING:
from src.models.question import Question
class Pattern(Base, UUIDMixin):
"""Algorithmic pattern (e.g., Two Pointers, Sliding Window)."""
__tablename__ = "patterns"
# Core fields
name: Mapped[str] = mapped_column(String(100), unique=True, nullable=False)
slug: Mapped[str] = mapped_column(String(100), unique=True, nullable=False)
description: Mapped[str | None] = mapped_column(Text, nullable=True)
when_to_use: Mapped[str | None] = mapped_column(Text, nullable=True)
# Tutorial content fields
metaphor: Mapped[str | None] = mapped_column(Text, nullable=True)
core_concept: Mapped[str | None] = mapped_column(Text, nullable=True)
visualization: Mapped[str | None] = mapped_column(Text, nullable=True)
code_template: Mapped[str | None] = mapped_column(Text, nullable=True)
# Structured data fields (JSONB)
recognition_signals: Mapped[list[str] | None] = mapped_column(JSONB, nullable=True)
common_mistakes: Mapped[list[dict[str, Any]] | None] = mapped_column(JSONB, nullable=True)
variations: Mapped[list[dict[str, Any]] | None] = mapped_column(JSONB, nullable=True)
related_patterns: Mapped[list[str] | None] = mapped_column(JSONB, nullable=True)
prerequisite_patterns: Mapped[list[str] | None] = mapped_column(JSONB, nullable=True)
# Difficulty level (1-5 learning curve)
difficulty_level: Mapped[int | None] = mapped_column(Integer, nullable=True)
# Pattern classification
pattern_type: Mapped[str | None] = mapped_column(String(50), nullable=True)
display_order: Mapped[int | None] = mapped_column(Integer, nullable=True)
# Interactive visualization examples
visualization_examples: Mapped[list[dict[str, Any]] | None] = mapped_column(
JSONB, nullable=True
)
# Relationships
questions: Mapped[list["Question"]] = relationship(
secondary="question_patterns",
back_populates="patterns",
)