Initial release: async repository layer over SQLModel
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README.md
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# MetaORM
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Async repository layer over [SQLModel](https://sqlmodel.tiangolo.com). Provides a minimal, explicit pattern for database access with optional DTO mapping, automatic transaction management via `contextvars`, and built-in filter / pagination / sort support via `pydantic-filters`.
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## Install
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```bash
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pip install "git+https://github.com/OlegYurchik/metaorm.git"
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```
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Requires Python `>=3.12`.
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> **Note:** The package is installed directly from GitHub because `metaorm` depends on a patched version of `pydantic-filters` (from `so-saf/pydantic-filters`) that is not yet available on PyPI.
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## Quick start
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The simplest mode works with SQLModel tables directly — no DTOs, no generics, no magic:
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```python
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from sqlmodel import Field
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from metaorm import BaseRepository, BaseTable, DatabaseSettings
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class UserTable(BaseTable, table=True):
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__tablename__ = "users"
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id: int | None = Field(default=None, primary_key=True)
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name: str
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email: str = Field(unique=True)
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class UserRepository(BaseRepository):
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def get_db_table(self) -> type[UserTable]:
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return UserTable
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async def main():
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repo = UserRepository(
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settings=DatabaseSettings(dsn="sqlite+aiosqlite:///:memory:"),
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)
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await repo.create_tables()
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user = await repo.create_item(
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UserTable(name="Alice", email="alice@example.com"),
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)
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print(user.id, user.name)
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all_users = [u async for u in repo.get_items()]
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print(len(all_users))
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```
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## DTO mapping
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When you want repository methods to return separate Pydantic models instead of table instances, override `get_dto_type()` and implement `from_item` / `to_item` on the table:
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```python
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from pydantic import BaseModel
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from sqlmodel import Field
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from metaorm import BaseRepository, BaseTable, DatabaseSettings
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class User(BaseModel):
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id: int | None = None
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name: str
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class UserTable(BaseTable[User], table=True):
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__tablename__ = "users"
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id: int | None = Field(default=None, primary_key=True)
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name: str
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@classmethod
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def from_item(cls, item: User) -> "UserTable":
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return cls(id=item.id, name=item.name)
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def to_item(self) -> User:
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return User(id=self.id, name=self.name)
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class UserRepository(BaseRepository):
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def get_db_table(self) -> type[UserTable]:
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return UserTable
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def get_dto_type(self) -> type[User]:
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return User
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async def main():
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repo = UserRepository(
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settings=DatabaseSettings(dsn="sqlite+aiosqlite:///:memory:"),
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)
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await repo.create_tables()
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user = await repo.create_item(User(name="Alice"))
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# user is a User DTO, not UserTable
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print(user.model_dump())
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```
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## Filters, pagination and sorting
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`pydantic-filters` provides `BaseFilter`, `BasePagination` and `BaseSort`. Pass them to `get_items`:
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```python
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from pydantic_filters import BaseFilter, BaseSort, OffsetPagination
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class BookFilter(BaseFilter):
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title: str | None = None
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year: int | None = None
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class BookRepository(BaseRepository):
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def get_db_table(self) -> type[BookTable]:
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return BookTable
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def get_filter_type(self) -> type[BookFilter]:
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return BookFilter
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# Exact match filter
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filtered = [
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item
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async for item in repo.get_items(filter_=BookFilter(year=2025))
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]
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# Pagination
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page = [
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item
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async for item in repo.get_items(
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pagination=OffsetPagination(offset=10, limit=20),
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)
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]
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# Sorting
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sorted_items = [
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item
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async for item in repo.get_items(
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sort=BaseSort(sort_by="year", sort_by_order="desc"),
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)
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]
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```
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## Explicit transactions
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Each repository method already runs inside a transaction automatically. If you need an explicit scope (e.g. to read `repository.session`), use `repository.transaction()`:
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```python
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async with repo.transaction():
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user = await repo.create_item(UserTable(name="Alice"))
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# nested transaction reuses the same session
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async with repo.transaction():
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items = [item async for item in repo.get_items()]
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```
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## Atomic transactions across multiple repositories
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Use `RepositoriesContainer` when you need a single atomic transaction spanning multiple repositories:
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```python
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from metaorm import RepositoriesContainer
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container = RepositoriesContainer(settings=settings)
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user_repo = container.get_repository(UserRepository)
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order_repo = container.get_repository(OrderRepository)
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async with container.transaction():
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user = await user_repo.create_item(UserTable(name="Alice"))
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await order_repo.create_item(OrderTable(user_id=user.id, total=100))
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```
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`container.transaction()` stores the session in a `contextvars.ContextVar`. All repository operations within the `async with` block automatically reuse that session. Nested `container.transaction()` calls yield the same session.
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## Eager loading
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`get_items()` and `update_items()` accept an optional `options` parameter for SQLAlchemy eager loading strategies:
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```python
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from sqlalchemy.orm import joinedload
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books = [
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item
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async for item in book_repo.get_items(
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options=[joinedload(BookTable.author)],
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)
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]
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```
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## Exceptions
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```
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DatabaseException
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├── NotFoundError
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├── HaveNoSessionError
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└── AlreadyExistsError
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```
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All repository methods raise `DatabaseException` subclasses or SQLAlchemy errors.
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## License
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MIT
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