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I have the same problem. It occurs on windows(64bit) when parsing bigint. It's ok in Linux
> I have the same problem. It occurs on windows(64bit) when parsing bigint. It's ok in Linux i use python 3.9 amd64
I have no such problem on windows x64 - python ~= 3.9.0 - fastapi ~= 0.75.0 - uvicorn ~= 0.17.0 
I use aiomysql connection pool
You should create or change schema by using `dependency injection` in FastAPI. (in Step 3, 4, 5) And I suggest `tenant column`
It's better to use `DI` to create specific type
you can set `json_encoders` in pydantic model instead of `json_dumps` for example: `json_encoders = {float: lambda x: float(x)}`
It's a bug. The `response_model` should be a pydantic model or basic type. You can add one `response_model` to avoid the bug temporarily `@app.get("/favicon.ico", response_model=str)`
class Hero(SQLModel, table=True): id: Optional[int] = Field(default=None, primary_key=True) normhash: Optional[int] = Field(default=None, index=True, sa_column=Column(BigInteger()))
@unidesigner uhhhh, you can make it a column in sqlalchemy just like this: `id: int = Field( default_factory=next_val, sa_column=Column(BigInteger(), primary_key=True, autoincrement=False) )` and also, you can use sa_column_kwargs to set...