refactor: migrate to DDD architecture with Dishka DI
Complete architectural refactoring from simple MVC to Clean Architecture/DDD pattern: Domain Layer: - Add entities (Post, BaseEntity) with business logic - Add value objects (Title, Content, Slug) with validation - Add repository interfaces (PostRepository) - Add domain exceptions Application Layer: - Add use cases (CreatePost, GetPost, UpdatePost, DeletePost, ListPosts, PublishPost) - Add DTOs for data transfer - Add TransactionManager interface Infrastructure Layer: - Add SQLAlchemy models and async database connection - Add SQLAlchemyPostRepository implementation - Add Dishka DI container with providers - Add error handlers and middleware Presentation Layer: - Add FastAPI routes with Dishka integration - Add Pydantic schemas - Add dependency injection using FromDishka[T] Other Changes: - Remove old flat structure (api/, common/, core/, modules/) - Add hatchling build system for package scripts - Add blog CLI command - Update AGENTS.md with new architecture docs - All 48 tests passing, mypy clean, ruff clean
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app/infrastructure/database/models.py
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40
app/infrastructure/database/models.py
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"""SQLAlchemy ORM models."""
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from datetime import datetime, timezone
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from uuid import uuid4
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from sqlalchemy import JSON, Boolean, DateTime, String, Text
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from sqlalchemy.orm import Mapped, declarative_base, mapped_column
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Base = declarative_base()
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class PostORM(Base): # type: ignore[valid-type,misc]
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"""SQLAlchemy model for Blog Post."""
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__tablename__ = "posts"
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id: Mapped[str] = mapped_column(
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String(36), primary_key=True, default=lambda: str(uuid4())
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)
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title: Mapped[str] = mapped_column(String(200), nullable=False)
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content: Mapped[str] = mapped_column(Text, nullable=False)
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slug: Mapped[str] = mapped_column(
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String(200), nullable=False, unique=True, index=True
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)
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author_id: Mapped[str] = mapped_column(String(100), nullable=False, index=True)
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published: Mapped[bool] = mapped_column(
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Boolean, default=False, nullable=False, index=True
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)
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tags: Mapped[list[str]] = mapped_column(JSON, default=list)
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created_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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nullable=False,
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)
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updated_at: Mapped[datetime] = mapped_column(
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DateTime(timezone=True),
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default=lambda: datetime.now(timezone.utc),
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onupdate=lambda: datetime.now(timezone.utc),
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nullable=False,
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)
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