FastAPI – GET request results in typeerror (value is not a valid dict)

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FastAPI – GET request results in typeerror (value is not a valid dict)

  1. How to solve FastAPI – GET request results in typeerror (value is not a valid dict)

    SQLAlchemy does not return a dictionary, which is what pydantic expects by default. You can configure your model to also support loading from standard orm parameters (i.e. attributes on the object instead of dictionary lookups):
    class Userattribute(BaseModel): name: str value: str user_id: str id: str class Config: orm_mode = True
    You can also attach a debugger right before the call to return to see what's being returned.
    Since this answer has become slightly popular, I'd like to also mention that you can make orm_mode = True the default for your schema classes by having a common parent class that inherits from BaseModel:
    class OurBaseModel(BaseModel): class Config: orm_mode = True class Userattribute(OurBaseModel): name: str value: str user_id: str id: str
    This is useful if you want to support orm_mode for most of your classes (and for those where you don't, inherit from the regular BaseModel).

  2. FastAPI – GET request results in typeerror (value is not a valid dict)

    SQLAlchemy does not return a dictionary, which is what pydantic expects by default. You can configure your model to also support loading from standard orm parameters (i.e. attributes on the object instead of dictionary lookups):
    class Userattribute(BaseModel): name: str value: str user_id: str id: str class Config: orm_mode = True
    You can also attach a debugger right before the call to return to see what's being returned.
    Since this answer has become slightly popular, I'd like to also mention that you can make orm_mode = True the default for your schema classes by having a common parent class that inherits from BaseModel:
    class OurBaseModel(BaseModel): class Config: orm_mode = True class Userattribute(OurBaseModel): name: str value: str user_id: str id: str
    This is useful if you want to support orm_mode for most of your classes (and for those where you don't, inherit from the regular BaseModel).

Solution 1

SQLAlchemy does not return a dictionary, which is what pydantic expects by default. You can configure your model to also support loading from standard orm parameters (i.e. attributes on the object instead of dictionary lookups):

class Userattribute(BaseModel):
    name: str
    value: str
    user_id: str
    id: str

    class Config:
        orm_mode = True

You can also attach a debugger right before the call to return to see what’s being returned.

Since this answer has become slightly popular, I’d like to also mention that you can make orm_mode = True the default for your schema classes by having a common parent class that inherits from BaseModel:

class OurBaseModel(BaseModel):
    class Config:
        orm_mode = True


class Userattribute(OurBaseModel):
    name: str
    value: str
    user_id: str
    id: str

This is useful if you want to support orm_mode for most of your classes (and for those where you don’t, inherit from the regular BaseModel).

Original Author MatsLindh Of This Content

Conclusion

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I am an Information Technology Engineer. I have Completed my MCA And I have 4 Year Plus Experience, I am a web developer with knowledge of multiple back-end platforms Like PHP, Node.js, Python and frontend JavaScript frameworks Like Angular, React, and Vue.

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