strawberry-sqlalchemy
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A SQLAlchemy Integration for strawberry-graphql
Bumps the all-dependencies group with 15 updates in the / directory: | Package | From | To | | --- | --- | --- | | [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) | `2.0.23` |...
Bumps [strawberry-graphql](https://github.com/strawberry-graphql/strawberry) from 0.209.1 to 0.229.1. Release notes Sourced from strawberry-graphql's releases. 🍓 0.229.1 This release fixes a regression from 0.229.0 where using a generic interface inside a union would...
## Description Upgrading to the v2 of https://github.com/CodSpeedHQ/action will bring a better base run selection algorithm, better logging, and continued support.
## Description This includes a number of changes, including: 1. `mapper.type` now calls `mapper.convert` - this allows `mapper.convert` to be called within user code, which makes the relevant functionality accessible...
When combining the @strawberry.input and @strawberry_sqlalchemy_mapper.type decorators i was able to declare a valid strawberry input type. However, i came into a problem trying to define which fields (generated by...
I have a model, which includes column_property ``` class User(Base): name = Column(Text) lastname = Column(Text) full_name = column_property(name + " " + lastname) ``` When I start application I...
Would be nice if docs from sqlalchemy fields form schema description ``` class Project(Base): __tablename__ = "projects" address = Column(String, nullable=False, doc="This is an address") ``` ## Feature Request Type...
Hi, is there a way to pass selected fields to the Query so that instead select * from a huge document/table I get only fields I really need? ## Upvote...
## Feature Request Type - [ ] Core functionality - [x] Alteration (enhancement/optimization) of existing feature(s) - [ ] New behavior ## Description I see that the `__exclude__` property is...
My model has a `Survey` class with `owner_id` attribute, which is using a different column name (`user_id`) for historic reasons ```python class User(Base): __tablename__ = "user" user_id: Mapped[int] = mapped_column("id",...