advanced-alchemy-repositories（高级炼金术存储库）

Repositories

Execution Workflow

1. Choose the base repository class that matches the runtime: SQLAlchemyAsyncRepository, SQLAlchemySyncRepository, or a slug or query variant.
2. Set model_type immediately and keep repositories model-specific.
3. Use built-in filters and list_and_count() for list endpoints instead of reimplementing pagination logic.
4. Use bulk helpers for inserts, updates, upserts, and deletes when the workload is batch-shaped.
5. Keep transaction ownership outside the repository unless the framework integration explicitly handles commit behavior.

Implementation Rules

• Keep repositories focused on persistence and query composition, not HTTP contracts.
• Prefer repository subclasses over duplicated ad hoc helper functions spread across handlers.
• Reach for query repositories only when custom SQL or aggregation work is materially different from standard CRUD.
• Keep loader options explicit so relationship behavior is predictable.

Example Pattern

from advanced_alchemy.repository import SQLAlchemyAsyncRepository

class PostRepository(SQLAlchemyAsyncRepository[Post]):
    model_type = Post

Validation Checklist

• Confirm the repository type matches the session type.
• Confirm model_type points at the intended mapped class.
• Confirm list filters, counts, and pagination stay consistent under real data.
• Confirm bulk operations are tested against the target database dialect.

Cross-Skill Handoffs

• Use advanced-alchemy-modeling before defining repositories.
• Use advanced-alchemy-services when handlers need schema conversion or domain rules.
• Use advanced-alchemy-routing or a framework skill when repository methods are exposed over HTTP.

Advanced Alchemy References

• https://advanced-alchemy.litestar.dev/latest/usage/repositories.html
• https://github.com/litestar-org/advanced-alchemy/blob/main/README.md