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Pyright type checking when working with aggregate data
First Check
- [X] I added a very descriptive title to this issue.
- [X] I used the GitHub search to find a similar issue and didn't find it.
- [X] I searched the SQLModel documentation, with the integrated search.
- [X] I already searched in Google "How to X in SQLModel" and didn't find any information.
- [X] I already read and followed all the tutorial in the docs and didn't find an answer.
- [X] I already checked if it is not related to SQLModel but to Pydantic.
- [X] I already checked if it is not related to SQLModel but to SQLAlchemy.
Commit to Help
- [X] I commit to help with one of those options 👆
Example Code
from typing import Optional
from sqlmodel import Field, SQLModel, Session, create_engine, func, select
class Score(SQLModel, table=True):
__tablename__ = "scores" # type: ignore
id: Optional[int] = Field(default=None, primary_key=True)
name: str
score: int = Field(ge=0, le=100)
engine = create_engine("sqlite:///")
SQLModel.metadata.create_all(engine)
with Session(engine) as session:
session.add(Score(name="Bob", score=51))
session.add(Score(name="Alice", score=88))
session.add(Score(name="Greg", score=12))
session.add(Score(name="Patrick", score=100))
session.add(Score(name="Susie", score=45))
session.commit()
with Session(engine) as session:
res = session.exec(
select(
func.min(Score.score),
func.max(Score.score)
)
).one()
print(f"Minimum score: {res['min']}")
print(f"Maximum score: {res['max']}")
Description
The above code works as expected and outputs:
Minimum score: 12
Maximum score: 100
However the issue I'm having is the pyright static type checking around:
res = session.exec(
select(
func.min(Score.score),
func.max(Score.score)
)
).one()
Pyright gives me the following error and the res
variable has an Unkown
type according to Pyright.
Argument of type "Function[NullType]" cannot be assigned to parameter "entity_1" of type "Type[_TModel_1@select]" in function "select"
Type "Function[NullType]" cannot be assigned to type "Type[_TModel_1@select]
Expected Result / Solution Idea
The res
variable should not have an unknown type.
Given the following code, the type of res should be something like CustomMinMax
where CustomMinMax
is a generated pydantic model/named tuple/dataclass like the following:
class CustomMinMax(BaseModel):
min: int
max: int
Not sure how possible that would be to do.
Has anybody faced the same issue or has any ideas on ways around this so the res
variable has an appropriate type, or maybe I'm just missing a pyright config option that solves this problem?
Operating System
Linux
Operating System Details
Arch
SQLModel Version
0.0.8
Python Version
3.9.13
Additional Context
Pyright version: 1.1.271
It's not a perfect solution, but you can use declared_attr
and column_property
:
from typing import cast
from sqlalchemy.orm import column_property, declared_attr
...
class ScoreTableBase(SQLModel):
__tablename__ = "scores" # type: ignore
id: Optional[int] = Field(default=None, primary_key=True)
name: str
score: int = Field(ge=0, le=100)
class Score(ScoreTableBase, table=True):
pass
class ScoreAggregate(ScoreTableBase, table=True):
__table_args__ = {"extend_existing": True}
@declared_attr
def max(cls) -> int:
return cast(int, column_property(func.max(cls.score)))
@declared_attr
def min(cls) -> int:
return cast(int, column_property(func.min(cls.score)))
...
with Session(engine) as session:
res = session.exec(
select(
ScoreAggregate
)
).one()
print(f"Minimum score: {res.min}")
print(f"Maximum score: {res.max}")
use
Session.exec
-> Session.execute
sqlmodel.select
-> sqlalchemy.select
ex:
from typing import ClassVar, Optional
from sqlalchemy import select
from sqlmodel import Field, Session, SQLModel, create_engine, func
class Score(SQLModel, table=True):
__tablename__: ClassVar[str] = "scores"
id: Optional[int] = Field(default=None, primary_key=True)
name: str
score: int = Field(ge=0, le=100)
engine = create_engine("sqlite:///")
SQLModel.metadata.create_all(engine)
with Session(engine) as session:
session.add(Score(name="Bob", score=51))
session.add(Score(name="Alice", score=88))
session.add(Score(name="Greg", score=12))
session.add(Score(name="Patrick", score=100))
session.add(Score(name="Susie", score=45))
session.commit()
with Session(engine) as session:
res = session.execute(select(func.min(Score.score), func.max(Score.score))).one()
print(f"Minimum score: {res['min']}")
print(f"Maximum score: {res['max']}")