AttributeError: 'super' object has no attribute 'parse_obj' when using OpenAPISpec.from_file

[elliexcoding]

System Info

Langchain version 0.0.268

Who can help?

No response

Information

• The official example notebooks/scripts
• My own modified scripts

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Reproduction

1. Load in .yaml file containing the OpenAPI specification.
2. Call the OpenAPISpec with open_api_spec = OpenAPISpec.from_file(file_path)

Error shows that in openapi.py line 202 ,return super().parse_obj(obj) no longer inherits the super method from Pydantic's BaseModel parse_obj.

Expected behavior

The OpenAPISpec should be delivered so that it can be passed on to NLAToolkit.from_llm_and_spec.

[dosubot]

🤖

Hello,

The error you're encountering, 'super' object has no attribute 'parse_obj', is likely due to the fact that the 'parse_obj' method is not available in the superclass of 'OpenAPISpec'.

In LangChain, 'OpenAPISpec' is a subclass of 'OpenAPI', which is imported from the 'openapi_schema_pydantic' package. The 'parse_obj' method is called on the superclass in the 'parse_obj' method of 'OpenAPISpec':

@classmethod
def parse_obj(cls, obj: dict) -> OpenAPISpec:
    try:
        cls._alert_unsupported_spec(obj)
        return super().parse_obj(obj)
    except ValidationError as e:
        # We are handling possibly misconfigured specs and
        # want to do a best-effort job to get a reasonable interface out of it.
        new_obj = copy.deepcopy(obj)
        for error in e.errors():
            keys = error["loc"]
            item = new_obj
            for key in keys[:-1]:
                item = item[key]
            item.pop(keys[-1], None)
        return cls.parse_obj(new_obj)

The error suggests that the 'OpenAPI' class does not have a 'parse_obj' method. This could be due to a version mismatch between the 'openapi_schema_pydantic' package used in your environment and the one expected by LangChain.

LangChain v0.0.268 is compatible with the 'openapi_schema_pydantic' package version "^1.2". This means any version that is compatible with version 1.2. The caret (^) symbol in "^1.2" indicates compatibility with versions up to but not including 2.0.0. This information is found in the 'pyproject.toml' file under the '[tool.poetry.dependencies]' section:

openapi-schema-pydantic = {version = "^1.2", optional = true}

Please ensure that you have the correct version of 'openapi_schema_pydantic' installed. If the issue persists, it might be a bug in LangChain or 'openapi_schema_pydantic', and you should consider reporting it to the maintainers.

I hope this helps! Let me know if you have any other questions.

Sources

• libs/langchain/langchain/utilities/openapi.py
• libs/langchain/pyproject.toml

---

This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

If you want to continue the conversation, start your reply with @dosu-bot.

[kreneskyp]

Also affecting

• OpenAPISpec.from_url
• get_openapi_chain

The get_openapi_chain error is hidden, but I confirmed it's the same error as above.

File "/usr/local/lib/python3.11/site-packages/langchain/chains/openai_functions/openapi.py", line 272, in get_openapi_chain
    raise ValueError(f"Unable to parse spec from source {spec}")

[kreneskyp]

cc @baskaryan @eyurtsev

Tracked this regression to openapi-schema-pydantic being switched to an optional dependency (#9408).

Work around:

install openapi-schema-pydantic into your environment.

Root cause:

1. OpenAPISpec's parent class defaults to object when openapi-schema-pydantic is unavailable.

   https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/utilities/openapi.py#L54-L57

2. This leads to an exception in OpenAPISpec.parse_obj when it calls super().parse_obj().

   https://github.com/langchain-ai/langchain/blob/master/libs/langchain/langchain/utilities/openapi.py#L201-L202

[batmanscode]

Thanks for looking into it and figuring out a workaround @kreneskyp

Unfortunately for me installing openapi-schema-pydantic didn't work

[EnkrateiaLucca]

Having the same issue, installing openaiapi-schema-pydantic did not work. :(

[kreneskyp]

Having the same issue, installing openaiapi-schema-pydantic did not work. :(

I ran into this issue again when using Pydantic 2.0 with LangChain.

Try langchain==0.0.319 with openapi-pydantic==0.3.2. Hopefully fixes all the issues now!

[PizBernina]

Having the same issue, installing openaiapi-schema-pydantic did not work. :(

I ran into this issue again when using Pydantic 2.0 with LangChain.

Try langchain==0.0.319 with openapi-pydantic==0.3.2. Hopefully fixes all the issues now!

This resolved the issue for me, cheers!

[borisko123]

openapi_schema_pydantic is changed to:
openapi-pydantic 0.3.2 (last version)
install it when using langchain

[jepsenwan]

openapi_schema_pydantic is changed to:
openapi-pydantic 0.3.2 (last version)
install it when using langchain

This works perfectly fine, thanks for the advise.

[marufaytekin]

openapi_schema_pydantic is changed to:
openapi-pydantic 0.3.2 (last version)
install it when using langchain

This worked fine, thanks for the advise.

[payamsaremi]

"pip install openapi-pydantic" fixed it for me

[xinyangfan]

langchain 0.1.9
openapi-pydantic 0.4.0
Still having this issue

[prova]

My colleague is facing the same issue on Python 3.10.12 and langchain==0.1.12 plus openapi-pydantic==0.4.0 (and also tried 0.3.2). On my PC, all is good with the same versions and Python. This is some random stuff.

[ChanduTadanki]

openapi_schema_pydantic is changed to: openapi-pydantic 0.3.2 (last version) install it when using langchain

That solved my issue. Thanks.
Note: (1) I also had to restart the kernel, (2) remove the imports from openapi_schema_pydantic, and (3) include imports from openapi-pydantic only.
More details here: https://community.deeplearning.ai/t/attributeerror-super-object-has-no-attribute-parse-obj/481376/11