[Test Case Failure]: tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

[github-actions]

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

---

Context:

• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branch: mono/dev-automation
• Commit: 6a522172cd4dd8db3722af574c90c4911447b24f
• Commit Tree: 6a522172cd4dd8db3722af574c90c4911447b24f
• Workflow Run: View Run

Labels:

This issue is auto-labeled for the swarmauri package.

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that Pydantic is unable to serialize an unknown type, specifically a function. This suggests that one of the attributes of the Pipeline object is a function, which cannot be serialized to JSON.

Looking at the code, the issue is likely due to the parameters attribute of the Pipeline object, which is a list of Parameter objects. One of the Parameter objects might have a function as its value, which is causing the serialization error.

To fix this issue, you need to ensure that all attributes of the Pipeline object can be serialized to JSON. You can do this by checking the parameters attribute and making sure that all values are serializable.

Here's an example of how you can modify the test_serialization test case to check for non-serializable values:

def test_serialization(self):
    pipeline = Pipeline()
    for param in pipeline.parameters:
        if callable(param.value):
            raise ValueError(f"Parameter {param.name} has a non-serializable value: {param.value}")
    assert pipeline.id == Pipeline.model_validate_json(pipeline.model_dump_json()).id

This code checks if any of the Parameter objects in the parameters list have a value that is a function (i.e., callable). If it finds one, it raises a ValueError with a message indicating which parameter has a non-serializable value.

Alternatively, you can modify the Parameter class to ensure that its values are always serializable. For example, you can add a validate method to the Parameter class that checks if the value is serializable:

class Parameter:
    def __init__(self, name, value):
        self.name = name
        self.value = value
        self.validate()

    def validate(self):
        if callable(self.value):
            raise ValueError(f"Value {self.value} is not serializable")

This way, when you create a Parameter object, it will automatically check if its value is serializable and raise an error if it's not.

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

---

Context:

• Commit: c702ff4c4e571f869de622a77b466dde60cc23a1
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branch: mono/dev-automation => mono/dev
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that there's an issue with serializing an unknown type, specifically a function, when calling model_dump_json() on the pipeline object. This suggests that one of the attributes of the pipeline object is a function, which cannot be serialized to JSON.

Looking at the code, the Pipeline class is not provided, but based on the error message, it's likely that one of the attributes of the Pipeline class is a function.

To fix this issue, you need to identify the attribute that is a function and exclude it from serialization or modify it to be serializable.

Here are a few possible solutions:

1. Exclude the function attribute from serialization by using the exclude parameter of the model_dump_json method. For example:

pipeline.model_dump_json(exclude={'function_attribute'})

   Replace `'function_attribute'` with the actual name of the attribute that is a function.

2. Modify the function attribute to be serializable. If the function attribute is a method of the `Pipeline` class, you could convert it to a property or a static method, which can be serialized.

3. If the function attribute is not necessary for serialization, you could remove it from the `Pipeline` class.

Without the actual code of the `Pipeline` class, it's difficult to provide a more specific solution. However, by identifying and addressing the function attribute that's causing the serialization issue, you should be able to resolve the error. 

Here's a code snippet that demonstrates how to exclude an attribute from serialization:
```python
from pydantic import BaseModel

class Pipeline(BaseModel):
    id: int
    function_attribute: callable  # This is the function attribute that's causing the issue

pipeline = Pipeline(id=1, function_attribute=lambda x: x)

# Exclude the function attribute from serialization
serialized_pipeline = pipeline.model_dump_json(exclude={'function_attribute'})

print(serialized_pipeline)  # This should print the serialized pipeline without the function attribute

---

Context:

• Commit: e510ac2da8004c4afb39123fd8c0b7b8e7c85b48
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branch: mono/dev-automation => mono/dev
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that the test case 'tests/unit/pipelines/Pipeline_unit_test.py::test_serialization' is failing due to an issue with serializing an unknown type, specifically a function. This suggests that the Pipeline model contains a field that is a function, which cannot be serialized to JSON.

To fix this issue, you need to modify the Pipeline model to exclude the function field from serialization or provide a custom serialization method for that field.

Here's an example of how you can modify the Pipeline model to exclude the function field from serialization:

from pydantic import BaseModel, Field

class Pipeline(BaseModel):
    #... other fields...
    func_field: callable = Field(exclude=True)  # exclude the function field from serialization
    #... other fields...

Alternatively, you can provide a custom serialization method for the function field using the json_encoder parameter of the model_dump_json method:

from pydantic import BaseModel
import json

class Pipeline(BaseModel):
    #... other fields...
    func_field: callable
    #... other fields...

    class Config:
        json_encoders = {
            callable: lambda f: f.__name__  # serialize the function field as its name
        }

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

Here is the debugged code:

from pydantic import BaseModel, Field
import json

class Pipeline(BaseModel):
    #... other fields...
    func_field: callable = Field(exclude=True)  # exclude the function field from serialization
    #... other fields...

    class Config:
        json_encoders = {
            callable: lambda f: f.__name__  # serialize the function field as its name
        }

---

Context:

• Commit: bd31121c54b2a9873a8d5b4501df9125a10c9b26
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev-automation ==> mono/dev
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that Pydantic is unable to serialize a function type. This suggests that there is a function or method within the Pipeline object that is not being properly handled during serialization.

Looking at the stack trace, the issue arises from the model_dump_json method of the Pipeline object. This method is likely trying to serialize the entire object, including any methods or functions it contains.

To fix this issue, you need to ensure that any functions or methods within the Pipeline object are excluded from serialization. You can do this by using the exclude parameter of the model_dump_json method to specify which attributes should be excluded.

Here's an example of how you might modify the test_serialization test case to exclude functions from serialization:

def test_serialization(self):
    pipeline = Pipeline()
    exclude = {"__call__"}  # Add any other function names that should be excluded
    assert pipeline.id == Pipeline.model_validate_json(
        pipeline.model_dump_json(exclude=exclude)
    ).id

Alternatively, you can modify the Pipeline model to exclude functions from serialization by default. You can do this by adding an exclude parameter to the model's model_dump_json method:

class Pipeline(BaseModel):
    #...

    def model_dump_json(self, **kwargs):
        exclude = kwargs.get("exclude", set())
        exclude.update({"__call__"})  # Add any other function names that should be excluded
        return super().model_dump_json(exclude=exclude, **kwargs)

By excluding functions from serialization, you should be able to resolve the PydanticSerializationError and get your test case passing.

---

Context:

• Commit: d8226022212bb1fc39b6460af5a47136c267886f
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that Pydantic is unable to serialize a function type. This is likely because the Pipeline model has an attribute that is a function, which cannot be serialized to JSON.

To fix this issue, you need to exclude the function attribute from the serialization process. You can do this by adding the exclude parameter to the model_dump_json method and specifying the name of the function attribute.

Here's an example of how you can modify the test_serialization test case to exclude the function attribute:

def test_serialization(self):
    pipeline = Pipeline()
    # Exclude the function attribute from serialization
    exclude_attributes = {"function_attribute_name"}  # Replace with the actual attribute name
    serialized_pipeline = pipeline.model_dump_json(exclude=exclude_attributes)
    deserialized_pipeline = Pipeline.model_validate_json(serialized_pipeline)
    assert pipeline.id == deserialized_pipeline.id

Alternatively, you can also use the exclude parameter on the Pipeline model itself to exclude the function attribute from serialization. This can be done by adding the exclude parameter to the Pipeline model definition:

class Pipeline(BaseModel):
    #... other attributes...
    function_attribute_name: Callable = Field(exclude=True)  # Replace with the actual attribute name

By excluding the function attribute from serialization, you should be able to fix the PydanticSerializationError and make the test_serialization test case pass.

---

Context:

• Commit: 08ed7396eca76011bfb86fa55b8775f8b20aeaff
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

---

Context:

• Commit: 633c08fe67809339a9025fa0f1aa87ceb4fe12ff
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error is due to an attempt to serialize an unknown type, specifically a function, in the model_dump_json method. This suggests that one of the attributes of the Pipeline object is a function, which cannot be serialized to JSON.

To fix this issue, you need to exclude the function attribute from serialization. You can do this by adding the exclude parameter to the model_dump_json method and specifying the name of the function attribute.

Here is an example of how you can modify the test_serialization test case to exclude the function attribute:

def test_serialization(self):
    pipeline = Pipeline()
    # Exclude the function attribute from serialization
    exclude_attributes = ["function_attribute_name"]
    serialized_pipeline = pipeline.model_dump_json(exclude=exclude_attributes)
    deserialized_pipeline = Pipeline.model_validate_json(serialized_pipeline)
    assert pipeline.id == deserialized_pipeline.id

Replace "function_attribute_name" with the actual name of the function attribute that is causing the serialization error.

Alternatively, you can also use the exclude parameter on the Pipeline model itself to exclude the function attribute from serialization. This can be done by adding the following code to the Pipeline model:

class Pipeline(BaseModel):
    #... other attributes...
    function_attribute_name: Callable = Field(exclude=True)
    #... other attributes...

This will exclude the function_attribute_name attribute from serialization for all instances of the Pipeline model.

---

Context:

• Commit: 0fc5e34b85dd03e1a0357938c18550c1e7fd2424
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_unit_test.py::test_serialization

Failure Details:

tests/unit/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that the test case 'tests/unit/pipelines/Pipeline_unit_test.py::test_serialization' is failing due to an issue with serializing an unknown type, specifically a function.

Looking at the stack trace, it seems like the issue is occurring when trying to serialize the pipeline object to JSON using model_dump_json() method. This method is unable to serialize a function, which is likely a part of the pipeline object.

To fix this issue, you need to modify the Pipeline class to properly handle the serialization of functions. One way to do this is to use a custom JSON encoder that can handle functions.

Here's an example of how you can modify the Pipeline class to use a custom JSON encoder:

import json
from pydantic import BaseModel

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

    def model_dump_json(self):
        return json.dumps(self, default=self._encode_function)

    @staticmethod
    def _encode_function(obj):
        if callable(obj):
            return obj.__name__
        return obj

In this example, the model_dump_json method uses a custom JSON encoder _encode_function to serialize functions. This encoder checks if an object is callable (i.e., a function) and returns its name as a string. Otherwise, it returns the object as is.

By using this custom encoder, you should be able to serialize the pipeline object without encountering the PydanticSerializationError.

Alternatively, you can also modify the Pipeline class to exclude functions from serialization by using the exclude parameter of the model_dump_json method. For example:

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

    def model_dump_json(self):
        return self.dict(exclude={'function_field'})

In this example, the model_dump_json method excludes the function_field from serialization, assuming that this field contains the function that's causing the serialization error.

By excluding the function field from serialization, you should be able to avoid the PydanticSerializationError and successfully serialize the pipeline object.

---

Context:

• Commit: 9b1ff09416b53f7b5f8969f781ae9c70326565c6
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_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/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

---

Context:

• Commit: cb6fcfda15e7704e1aa2c957f2416c919811095d
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_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/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

---

Context:

• Commit: 2c6fbc91ff37a8378b1f2199cb93b447070fbb66
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_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/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

---

Context:

• Commit: d0240ab11e87fa26872f1f1fc022340c7b836e69
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_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/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

The error message indicates that Pydantic is unable to serialize an unknown type, specifically a function. This error occurs when trying to serialize an object that contains a function as one of its attributes.

To fix this issue, you need to identify the attribute in the Pipeline object that is a function and exclude it from serialization. You can do this by adding the exclude parameter to the model_dump_json method and specifying the attribute name.

Here's an example of how you can modify the test_serialization test case to exclude the function attribute:

def test_serialization(self):
    pipeline = Pipeline()
    # Exclude the function attribute from serialization
    exclude = {"function_attribute_name"}
    serialized_pipeline = pipeline.model_dump_json(exclude=exclude)
    deserialized_pipeline = Pipeline.model_validate_json(serialized_pipeline)
    assert pipeline.id == deserialized_pipeline.id

Replace "function_attribute_name" with the actual name of the attribute that is a function.

Alternatively, you can also use the exclude parameter on the Pipeline model itself to exclude the function attribute from serialization. You can do this by adding the exclude parameter to the Pipeline model definition:

class Pipeline(BaseModel):
    #...
    class Config:
        exclude = {"function_attribute_name"}

This will exclude the function attribute from serialization for all instances of the Pipeline model.

By excluding the function attribute from serialization, you should be able to fix the error and successfully serialize and deserialize the Pipeline object.

---

Context:

• Commit: b9c171d9c2aeb82334fd11b98985e1f274772643
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run

[github-actions]

New failure detected:

Test Case:

tests/unit/pipelines/Pipeline_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/pipelines/Pipeline_unit_test.py:41: in test_serialization
    assert pipeline.id == Pipeline.model_validate_json(pipeline.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 'function'>

---

Suggested Fix (via Agent):

Unable to retrieve suggestions from LLM at this time.

---

Context:

• Commit: b55987d714ad728ac8605ea91c6dde4bf25bb9c9
• Matrix Package: swarmauri
• Component: pkgs/swarmauri/swarmauri/pipelines/concrete/Pipeline.py
• Test File: pkgs/swarmauri/tests/unit/pipelines/Pipeline_unit_test.py
• Branches: mono/dev ==> master
• Changes: View Changes
• Files: View Files
• Workflow Run: View Run