Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Test Case Failure]: tests/unit/swarms/Swarm_unit_test.py::test_serialization #957

Open
github-actions bot opened this issue Dec 18, 2024 · 21 comments
Open

[Test Case Failure]: tests/unit/swarms/Swarm_unit_test.py::test_serialization #957

github-actions bot opened this issue Dec 18, 2024 · 21 comments
Labels
pytest-failure swarmauri

Comments

@github-actions
Copy link

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The error message indicates that Pydantic is unable to serialize an unknown type, specifically the ModelMetaclass type. This suggests that there is an issue with the serialization of the Swarm model.

Looking at the code, the error occurs when trying to serialize the Swarm object to JSON using the model_dump_json() method. This method is likely trying to serialize the entire Swarm object, including its attributes and properties.

The ModelMetaclass type is an internal Pydantic class that is used to create models. It's not a serializable type, which is why Pydantic is throwing an error.

To fix this issue, you need to modify the Swarm model to exclude the ModelMetaclass type from serialization. One way to do this is to use the exclude parameter of the model_dump_json() method to exclude the __class__ attribute, which is of type ModelMetaclass.

Here's an example of how you can modify the test_serialization test case to fix the issue:

def test_serialization(self):
    swarm = Swarm()
    swarm_json = swarm.model_dump_json(exclude={"__class__"})
    assert swarm.id == Swarm.model_validate_json(swarm_json).id

By excluding the __class__ attribute from serialization, you should be able to avoid the PydanticSerializationError and fix the failing test case.

Alternatively, you can also modify the Swarm model to use a custom JSON encoder that excludes the ModelMetaclass type. This would require modifying the Swarm model to use a custom json_encoder attribute, like this:

class Swarm(BaseModel):
    #...

    class Config:
        json_encoder = CustomJSONEncoder

class CustomJSONEncoder(json.JSONEncoder):
    def default(self, obj):
        if isinstance(obj, ModelMetaclass):
            return None
        return super().default(obj)

This approach would require more changes to the Swarm model, but it would provide a more robust solution to the serialization issue.

Context:

Labels:

This issue is auto-labeled for the swarmauri package.
@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The error message indicates that there is a problem with serializing an unknown type in the Swarm model. This issue arises because Pydantic is unable to serialize a ModelMetaclass type.

Looking at the code, the issue seems to be with this line:

assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id

Here, Swarm.model_validate_json(swarm.model_dump_json()) is trying to validate the JSON dump of the swarm object. However, it seems like the Swarm model contains a field that is of type ModelMetaclass, which Pydantic does not know how to serialize.

To fix this issue, you need to find the field in the Swarm model that is of type ModelMetaclass and add a custom JSON encoder for it.

Here's an example of how you can add a custom JSON encoder for a field:

from pydantic import BaseModel, Field
from json import JSONEncoder

class Swarm(BaseModel):
    #... other fields...
    model_metaclass_field: ModelMetaclass = Field(...)

class CustomJSONEncoder(JSONEncoder):
    def default(self, obj):
        if isinstance(obj, ModelMetaclass):
            # Implement custom serialization logic here
            return obj.__name__
        return JSONEncoder.default(self, obj)

# Then, when dumping the model to JSON, use the custom encoder
swarm_json = swarm.model_dump_json(encoder=CustomJSONEncoder)

Alternatively, if the ModelMetaclass field is not necessary for the serialization, you can exclude it from the JSON dump using the exclude parameter:

swarm_json = swarm.model_dump_json(exclude={'model_metaclass_field'})

Either of these approaches should fix the serialization error and allow your test to pass.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The error message suggests that there's an issue with serializing an unknown type, specifically a ModelMetaclass from Pydantic. This error occurs when Pydantic tries to serialize an object that it doesn't know how to handle.

Looking at the code, the issue seems to be with this line:

assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id

The model_dump_json() method is trying to serialize the swarm object, but it's encountering an unknown type.

The problem is likely due to the fact that the Swarm class has a field that is an instance of another Pydantic model, and that model is not properly registered with Pydantic.

To fix this issue, you need to make sure that all Pydantic models used in the Swarm class are properly registered. You can do this by adding the SubclassUnion update for each model used in the Swarm class.

For example, if the Swarm class has a field that is an instance of MyModel, you would add the following code:

from swarmauri_core.typing import SubclassUnion

SubclassUnion.update(baseclass=MyModel, type_name="MyModel", obj=MyModel)

You need to add this update for each Pydantic model used in the Swarm class.

Additionally, you can also try to use the exclude parameter of the model_dump_json() method to exclude any fields that are causing the serialization issue. For example:

swarm.model_dump_json(exclude={"my_field"})

This will exclude the my_field field from the serialization process.

If you're still having issues, you can try to debug the serialization process by adding some print statements or using a debugger to see what's causing the error.

Here is the modified code that includes the above suggestions:

# Add SubclassUnion updates for each Pydantic model used in the Swarm class
from swarmauri_core.typing import SubclassUnion

SubclassUnion.update(baseclass=MyModel, type_name="MyModel", obj=MyModel)

#...

# Use the exclude parameter to exclude any fields that are causing the serialization issue
swarm.model_dump_json(exclude={"my_field"})

#...

# Debug the serialization process
print(swarm.model_dump_json())

Note that you should replace MyModel and my_field with the actual names of the Pydantic models and fields used in your code.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The error message suggests that the serialization of the Swarm object is failing due to an unknown type. The type in question is ModelMetaclass, which is an internal Pydantic class.

Looking at the code, the issue seems to be with this line:

assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id

The model_dump_json() method is trying to serialize the Swarm object to JSON, but it's encountering an unknown type.

To fix this, you can try using the exclude parameter of the model_dump_json() method to exclude any fields that may be causing the serialization issue. For example:

assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json(exclude={'__pydantic_model__'})).id

This will exclude the internal Pydantic model metadata from the serialization, which may resolve the issue.

Alternatively, you can try using the include parameter to only include specific fields in the serialization:

assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json(include={'id'})).id

This will only include the id field in the serialization, which may also resolve the issue.

If neither of these solutions work, you may need to investigate further to determine the root cause of the serialization issue.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The problem lies in the serialization of the Swarm object. The error message indicates that Pydantic is unable to serialize an unknown type, specifically a ModelMetaclass. This suggests that the Swarm object contains a field that is a Pydantic model itself, which is not properly handled during serialization.

To fix this issue, you need to modify the Swarm model to properly handle the serialization of its fields. Here's a possible solution:

from pydantic import BaseModel

class Swarm(BaseModel):
    #... other fields...

    class Config:
        arbitrary_types_allowed = True

By setting arbitrary_types_allowed to True, you allow Pydantic to serialize arbitrary types, including Pydantic models. However, this may not be the best solution, as it can lead to unexpected behavior if not properly handled.

A better approach would be to identify the specific field that is causing the issue and modify its type to a Pydantic-compatible type. For example, if the field is a list of Pydantic models, you can use the List type from the typing module:

from typing import List

class Swarm(BaseModel):
    #... other fields...
    my_field: List[MyPydanticModel]

Alternatively, you can use the exclude parameter of the model_dump_json method to exclude the problematic field from serialization:

swarm.model_dump_json(exclude={'my_field'})

In your test case, you can modify the assertion to exclude the problematic field:

assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json(exclude={'my_field'})).id

By making these changes, you should be able to fix the serialization issue and make your test case pass.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The issue here is that the Swarm class is trying to serialize an instance of ModelMetaclass which is not a serializable type. This is happening because the model_dump_json() method is being called on the Swarm class itself, rather than on an instance of the class.

To fix this, you should create an instance of the Swarm class and call model_dump_json() on that instance. Here's how you can modify your test case:

def test_serialization(self):
    swarm = Swarm()  # Create an instance of the Swarm class
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id

However, if you are trying to test the serialization of the Swarm class itself, you might need to rethink your approach. You can't directly serialize a class in Pydantic. You can only serialize instances of a class.

Also, please note that the model_validate_json() method is not a standard Pydantic method. If this is a custom method, you might need to adjust it to correctly handle the serialization of the Swarm class.

If you are still having trouble, you might need to provide more information about the Swarm class and the model_validate_json() method.

One more thing, the model_dump_json() method will return a JSON string, so you might need to load this string back into a Python object before you can access its attributes. You can use the json.loads() function for this:

import json

def test_serialization(self):
    swarm = Swarm()
    swarm_json = swarm.model_dump_json()
    swarm_dict = json.loads(swarm_json)
    assert swarm.id == swarm_dict['id']

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The issue lies in the Swarm.model_validate_json(swarm.model_dump_json()) line of the test case. The model_dump_json() method is unable to serialize the Swarm object because it contains an attribute of type ModelMetaclass, which is not a serializable type.

To fix this issue, you need to modify the Swarm class to exclude the non-serializable attributes from the serialization process. You can do this by adding the exclude parameter to the model_dump_json() method and specifying the attributes to exclude.

Here's an example of how you can modify the Swarm class:

from pydantic import BaseModel

class Swarm(BaseModel):
    #... other attributes...

    class Config:
        exclude = {'non_serializable_attribute'}

Replace 'non_serializable_attribute' with the actual name of the attribute that is causing the serialization error.

Alternatively, you can also use the exclude parameter when calling the model_dump_json() method:

swarm.model_dump_json(exclude={'non_serializable_attribute'})

By excluding the non-serializable attributes, you should be able to fix the serialization error and make the test case pass.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

[gw3] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

[gw1] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

Context:

@github-actions GitHub Actions
Copy link
Author

New failure detected:

Test Case:

tests/unit/swarms/Swarm_unit_test.py::test_serialization

Failure Details:

[gw2] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>

Suggested Fix (via Agent):

The error is due to Pydantic's inability to serialize a ModelMetaclass instance. This issue arises when attempting to serialize an object that contains a field of type ModelMetaclass, which is not a standard type that Pydantic knows how to handle.

Looking at the stacktrace, it seems like the error is happening when trying to dump the swarm object to JSON in the test_serialization test case. The Swarm class likely contains a field that is an instance of ModelMetaclass, which is causing the serialization error.

To fix this issue, you can try the following approaches:

  1. Define a custom JSON encoder: You can define a custom JSON encoder that knows how to handle ModelMetaclass instances. You can then pass this encoder to the model_dump_json method.

    

    2. 



import json


class CustomEncoder(json.JSONEncoder):

def default(self, obj):

if isinstance(obj, ModelMetaclass):

# Implement logic to serialize ModelMetaclass instances

return obj.dict

return super().default(obj)


Usage


swarm.model_dump_json(encoder=CustomEncoder)



2.  **Exclude the problematic field**: If the field causing the issue is not necessary for serialization, you can exclude it using Pydantic's `exclude` parameter.

    ```python
class Swarm(BaseModel):
    #... other fields...
    problematic_field: ModelMetaclass = Field(..., exclude=True)



    

  1. Use a different serialization method: If the above approaches do not work, you might need to reconsider your serialization strategy. You could use a different serialization library or implement a custom serialization method that knows how to handle ModelMetaclass instances.
    2. 



class Swarm(BaseModel):
    #... other fields...
    problematic_field: ModelMetaclass

    def custom_serialize(self):
        data = self.dict()
        # Implement custom serialization logic for problematic_field
        data["problematic_field"] = self.problematic_field.__dict__
        return data

# Usage
swarm.custom_serialize()


Choose the approach that best fits your needs, and make sure to test it thoroughly to ensure that it resolves the serialization issue.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw3] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The issue arises from attempting to serialize an object of type ModelMetaclass using Pydantic's model_dump_json method. The ModelMetaclass type is not recognized by Pydantic's serializer, resulting in a PydanticSerializationError.


To resolve this issue, you should ensure that the object being serialized is a Pydantic model instance, not a metaclass. Here's how you can modify your test case:


def test_serialization(self):
    swarm = Swarm()  # Initialize the Swarm object
    swarm_json = swarm.model_dump_json()  # Dump the Swarm object to JSON
    loaded_swarm = Swarm.model_validate_json(swarm_json)  # Load the JSON back into a Swarm object
    assert swarm.id == loaded_swarm.id  # Compare the IDs


In this modified test case, we first create a Swarm object and then dump it to JSON using model_dump_json. We then load the JSON back into a new Swarm object using model_validate_json. Finally, we compare the IDs of the original and loaded Swarm objects to ensure they match.


By doing this, we ensure that we are serializing and deserializing a Pydantic model instance, rather than a metaclass, which should resolve the PydanticSerializationError.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw1] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The issue here is that Pydantic is unable to serialize an object of type ModelMetaclass because it's an unknown type. The ModelMetaclass is likely being used in the Swarm model, and when you try to dump the model to JSON using model_dump_json(), Pydantic doesn't know how to handle it.


To fix this issue, you need to add a custom JSON encoder that can handle the ModelMetaclass type. Here's an example of how you can do it:


from pydantic import BaseModel
from pydantic.json import pydantic_encoder
import json

class Swarm(BaseModel):
    # your model fields here...

    class Config:
        json_encoders = {
            pydantic._internal._model_construction.ModelMetaclass: lambda v: v.__name__,
        }


In this example, we're adding a custom JSON encoder for the ModelMetaclass type. When Pydantic tries to serialize an object of this type, it will use the lambda function to convert it to a string (in this case, the name of the model).


Alternatively, you can also use the default parameter of the json.dumps function to specify a custom encoder:


import json

def custom_encoder(obj):
    if isinstance(obj, pydantic._internal._model_construction.ModelMetaclass):
        return obj.__name__
    return pydantic_encoder(obj)

swarm_json = json.dumps(swarm, default=custom_encoder)


In this case, you would use the custom_encoder function to encode the Swarm object to JSON.


Either of these approaches should fix the serialization error you're seeing.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw0] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


Unable to retrieve suggestions from LLM at this time.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw0] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


Based on the provided stack trace, the issue appears to be related to the serialization of a Pydantic model using the model_dump_json method. The error message indicates that there is an unknown type being serialized, specifically <class 'pydantic._internal._model_construction.ModelMetaclass'>.


This error typically occurs when Pydantic is trying to serialize a model that contains a reference to a metaclass, which is not serializable.


To identify the cause of this failure, you can follow these steps:


    

  1. Inspect the Swarm model in tests/unit/swarms/Swarm_unit_test.py. Check if it contains any references to metaclasses or other non-serializable types.
    2. 

  2. Look for any custom models or classes that are being used within the Swarm model. These classes might be causing the serialization issue.
    3. 

  3. Verify that all fields in the Swarm model are properly defined and do not contain any non-serializable types.
    4. 



To fix the issue, you can try the following:


    

  1. Check the Swarm model and ensure that it does not contain any references to metaclasses or non-serializable types.
    2. 

  2. If you find any custom models or classes being used within the Swarm model, consider redefining them to be serializable.
    3. 

  3. If the issue persists, try to reproduce the error in a minimal example to isolate the root cause.
    4. 

  4. As a last resort, you can try to use the model_dump method instead of model_dump_json to serialize the model. This method can handle some types that are not serializable with model_dump_json.
    5. 



Here's an example of how you might use the model_dump method:


swarm_dict = swarm.model_dump()


This will serialize the Swarm model to a dictionary, which can be more forgiving than JSON serialization.


By following these steps and making the necessary adjustments, you should be able to identify and fix the issue causing the PydanticSerializationError.


import pytest
from swarmauri.swarms.concrete import Swarm


@pytest.mark.unit
def test_serialization():
    # Create a Swarm instance
    swarm = Swarm()

    # Dump the model to a dictionary
    swarm_dict = swarm.model_dump()

    # Validate the dumped model
    assert swarm.id == Swarm.model_validate_json(swarm_dict).id




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw3] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


Based on the error message and stack trace, the issue seems to be related to the serialization of a ModelMetaclass object in the Swarm model. The pydantic library is unable to serialize this object, which is causing the test to fail.


To fix this issue, you can try the following:


    

  1. Check the Swarm model definition to see if it contains any references to ModelMetaclass. If it does, try to refactor the model to avoid using this object.
    2. 

  2. If the Swarm model is a subclass of another model, check if the parent model contains any references to ModelMetaclass. If it does, try to refactor the parent model to avoid using this object.
    3. 

  3. If you are using a custom ModelMetaclass in your project, try to register it with pydantic using the pydantic.register_model function. This may help pydantic to recognize the custom metaclass and serialize it correctly.
    4. 

  4. If none of the above steps work, you can try to disable the serialization of the ModelMetaclass object by adding a custom __json__ method to the Swarm model. This method can return a custom JSON representation of the object that does not include the ModelMetaclass information.
    5. 



Here's an example of how you can add a custom __json__ method to the Swarm model:


from pydantic import BaseModel

class Swarm(BaseModel):
    #...

    def __json__(self, *args, **kwargs):
        json_data = super().__json__(*args, **kwargs)
        if 'model_metaclass' in json_data:
            del json_data['model_metaclass']
        return json_data


This will remove the ModelMetaclass information from the JSON representation of the Swarm object, which may help pydantic to serialize it correctly.


I hope this helps you to identify and fix the issue!




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw3] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The error message indicates that there is an issue with serializing an unknown type, specifically a ModelMetaclass, in the pydantic library. This is because the ModelMetaclass is not a serializable type.


Looking at the stacktrace, the issue seems to be in the Swarm.model_dump_json() method, which is called by Swarm.model_validate_json(). The model_dump_json() method is trying to serialize the Swarm object using the to_json() method of the __pydantic_serializer__ object.


To fix this issue, you need to ensure that all fields in the Swarm model are serializable. In this case, the issue is likely due to the fact that the Swarm model has a field that is not serializable.


Here are some possible solutions:


    

  1. 

    Check the Swarm model definition to ensure that all fields are serializable. You can use the pydantic library's built-in validation features to check for serializable fields.
    

    2. 

  2. 

    If the Swarm model has a field that is not serializable, you can try to modify the field to make it serializable. For example, you can use a Field with the serialize parameter set to False to exclude the field from serialization.
    

    3. 

  3. 

    If the issue is due to a circular reference in the Swarm model, you can try to use the exclude parameter of the model_dump_json() method to exclude the circular reference from serialization.
    

    4. 



Here is an example of how you can modify the Swarm model to make it serializable:


from pydantic import BaseModel, Field

class Swarm(BaseModel):
    id: str = Field(..., serialize=False)
    # other fields...


In this example, the id field is marked as serialize=False, which means it will not be serialized when the model_dump_json() method is called.


By making these changes, you should be able to resolve the issue and get the Swarm model to serialize correctly.


Alternatively, you can also try to use the pydantic library's json_encoders feature to customize the serialization of the Swarm model. This can be useful if you need to serialize complex data types or circular references.


Here is an example of how you can use the json_encoders feature:


from pydantic import BaseModel, Field
from pydantic.json import Encoders

class Swarm(BaseModel):
    id: str = Field(..., serialize=False)
    # other fields...

Encoders.model = lambda model: model.dict(exclude={'__pydantic_state__': None})


In this example, the Encoders.model function is used to customize the serialization of the Swarm model. The exclude parameter is used to exclude the __pydantic_state__ field from serialization.


By using these techniques, you should be able to resolve the issue and get the Swarm model to serialize correctly.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw3] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The error message indicates that the pydantic library is unable to serialize the ModelMetaclass type, which is a metaclass used by Pydantic to construct models.


The issue is likely caused by the fact that the Swarm model in your tests/unit/swarms/Swarm_unit_test.py file has a metaclass that is not serializable.


To fix this issue, you can try the following:


    

  1. Check the Swarm model definition in your tests/unit/swarms/Swarm_unit_test.py file. Make sure that it does not have any metaclasses that are not serializable.
    2. 

  2. If you are using a custom metaclass for the Swarm model, try removing it or replacing it with a serializable metaclass.
    3. 

  3. If you are using a third-party library that is not serializable, try updating the library to a version that is serializable.
    4. 

  4. If none of the above solutions work, you can try to serialize the Swarm model manually using a custom serialization method.
    5. 



Here is an example of how you can manually serialize the Swarm model:


from pydantic import BaseModel

class Swarm(BaseModel):
    #... model fields...

    def model_dump_json(self):
        return {"id": self.id, "name": self.name, "other_fields": self.other_fields}

    @classmethod
    def model_validate_json(cls, json_data):
        return cls(**json_data)


In this example, we define a custom model_dump_json method that serializes the Swarm model to a JSON dictionary, and a custom model_validate_json method that deserializes the JSON dictionary back to a Swarm model.


You can then use these custom methods in your test to serialize and deserialize the Swarm model:


swarm = Swarm(id=1, name="Test Swarm")
json_data = swarm.model_dump_json()
deserialized_swarm = Swarm.model_validate_json(json_data)
assert deserialized_swarm.id == swarm.id


Note that this is just one possible solution, and you may need to modify it to fit your specific use case.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw3] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The error message indicates that Pydantic is unable to serialize an unknown type, specifically <class 'pydantic._internal._model_construction.ModelMetaclass'>. This type is a metaclass used by Pydantic to construct models, but it's not intended to be serialized.


The issue arises from the fact that the Swarm model has a metaclass that inherits from pydantic._internal._model_construction.ModelMetaclass, which is not serializable. The model_dump_json method in Pydantic tries to serialize the model's metaclass, but it fails because it's not a serializable type.


To fix this issue, you can try the following:


    

  1. 

    Check the Swarm model definition: Ensure that the Swarm model is defined correctly and doesn't have any metaclasses that are not serializable.
    

    2. 

  2. 

    Use the __init__ method instead of model_dump_json: Instead of using model_dump_json, you can create a new instance of the Swarm model using the __init__ method and then serialize it. This might help avoid the serialization issue.
    

    3. 

  3. 

    Use a custom serialization method: You can create a custom serialization method for the Swarm model that avoids using the model_dump_json method. This method should serialize the model's attributes without trying to serialize the metaclass.
    

    4. 

  4. 

    Update Pydantic to the latest version: Pydantic might have fixed this issue in a newer version. Try updating Pydantic to the latest version and see if the issue persists.
    

    5. 



Here's an example of how you can create a custom serialization method for the Swarm model:


from pydantic import BaseModel

class Swarm(BaseModel):
    id: str
    # other attributes...

    class Config:
        # Use a custom serialization method
        def model_dump_json(self):
            # Serialize the model's attributes
            return {"id": self.id, "other_attributes": self.__dict__}


In this example, the model_dump_json method is overridden to serialize only the model's attributes, avoiding the serialization of the metaclass.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw0] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The error message indicates that Pydantic is unable to serialize an unknown type, which is pydantic._internal._model_construction.ModelMetaclass. This type is not a valid Pydantic model, and therefore, Pydantic does not know how to serialize it.


The issue is likely due to the fact that the Swarm model has a metaclass that is not a valid Pydantic model. The ModelMetaclass is a private class in Pydantic, and it's not intended to be used as a metaclass for Pydantic models.


To fix this issue, you need to ensure that the Swarm model is defined using a valid Pydantic metaclass, such as BaseModel or BaseSettings. You can do this by changing the Swarm model definition to use one of these metaclasses.


Here's an example of how you can modify the Swarm model to use the BaseModel metaclass:


from pydantic import BaseModel

class Swarm(BaseModel):
    # Define the Swarm model fields here
    id: str
    name: str
    #...


By using the BaseModel metaclass, you ensure that the Swarm model is defined as a valid Pydantic model, and Pydantic can serialize it correctly.


Alternatively, if you're using a custom metaclass for the Swarm model, you may need to modify the metaclass to inherit from BaseModel or BaseSettings. For example:


from pydantic import BaseModel

class CustomModelMetaclass(type):
    def __new__(meta, name, bases, namespace):
        return type.__new__(meta, name, bases, {**namespace, '__pydantic_model__': True})

class Swarm(metaclass=CustomModelMetaclass, BaseModel):
    # Define the Swarm model fields here
    id: str
    name: str
    #...


By using this custom metaclass, you ensure that the Swarm model is defined as a valid Pydantic model, and Pydantic can serialize it correctly.


In summary, the issue is due to the fact that the Swarm model has a metaclass that is not a valid Pydantic model. To fix this issue, you need to ensure that the Swarm model is defined using a valid Pydantic metaclass, such as BaseModel or BaseSettings.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    












      

  
      



  

  @github-actions

    
      GitHub Actions
    




  


    

      

  

    

        
    
    

  


      
          
  
      
            Copy link

  

      
    

  


  

      



      

  Author


  


  

    

  





      


        


  
    

      
          
New failure detected:


Test Case:


tests/unit/swarms/Swarm_unit_test.py::test_serialization


Failure Details:


[gw1] linux -- Python 3.12.8 /home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/bin/python
tests/unit/swarms/Swarm_unit_test.py:31: in test_serialization
    assert swarm.id == Swarm.model_validate_json(swarm.model_dump_json()).id
/home/runner/.cache/pypoetry/virtualenvs/swarmauri-dnwSkKe9-py3.12/lib/python3.12/site-packages/pydantic/main.py:477: in model_dump_json
    return self.__pydantic_serializer__.to_json(
E   pydantic_core._pydantic_core.PydanticSerializationError: Unable to serialize unknown type: <class 'pydantic._internal._model_construction.ModelMetaclass'>




Suggested Fix (via Agent):


The error message indicates that Pydantic is unable to serialize an unknown type, specifically pydantic._internal._model_construction.ModelMetaclass. This error is likely caused by a circular reference or a complex data structure in your Swarm model.


Here are some steps to help you identify and fix the issue:


    

  1. Check the Swarm model: Review the Swarm model definition to ensure there are no circular references or complex data structures. You can use tools like mypy or pylint to check for potential issues.
    2. 

  2. Simplify the Swarm model: If the Swarm model is complex, try simplifying it by breaking it down into smaller, more manageable components. This might involve creating separate models for related data structures.
    3. 

  3. Use Pydantic's orm_mode: If you're using an ORM (Object-Relational Mapping) tool like SQLAlchemy, you might need to enable Pydantic's orm_mode to correctly serialize complex data structures.
    4. 

  4. Use a custom to_dict method: You can define a custom to_dict method in your Swarm model to manually serialize the complex data structure. This method should return a dictionary that can be serialized by Pydantic.
    5. 

  5. Update Pydantic: Make sure you're using the latest version of Pydantic. If you're using an older version, try updating to the latest version to see if the issue is fixed.
    6. 

  6. Check for conflicts with other libraries: If you're using other libraries that might be interfering with Pydantic's serialization, try removing or updating them to see if the issue is resolved.
    7. 



To fix the issue, you can try the following:


    

  1. Add a custom to_dict method: Define a custom to_dict method in your Swarm model that returns a dictionary that can be serialized by Pydantic.
    2. 



class Swarm(BaseModel):
    #...

    def to_dict(self):
        return {
            'id': self.id,
            'name': self.name,
            'description': self.description,
            #...
        }


    

  1. Use Pydantic's orm_mode: If you're using an ORM tool, enable Pydantic's orm_mode to correctly serialize complex data structures.
    2. 



class Swarm(BaseModel):
    #...

    class Config:
        orm_mode = True


    

  1. Simplify the Swarm model: If the Swarm model is complex, try simplifying it by breaking it down into smaller, more manageable components.
    2. 



By following these steps, you should be able to identify and fix the issue causing the PydanticSerializationError.




Context:


      		
    

  





        


            

            

              
            

        

      


      

            
  

    
  
    
    

  

  



    
















  
  

    

      

  





  




  
  

              

  
    Sign up for free
    to join this conversation on GitHub.
    Already have an account?
    Sign in to comment


  



  






  
                  




    

  


      
  

    Assignees
  



        

    No one assigned







      


  


  

    Labels
  



    

      

    pytest-failure

  

    swarmauri









      

  

    

        

    Projects
  


        




    None yet




  



      


  

    
  

    Milestone
  


      No milestone





    
      
          


  

    
      

        
    

    Development
  




          
    
No branches or pull requests







    
  




      

    

  
      

  

    

      0 participants