[Bug]: Marvin Metadata Extractor Demo code not working about llama_index HOT 1 OPEN

The error you're encountering, TypeError: metaclass conflict, typically occurs when there's a clash between the metaclasses of the base classes in your class definition. This can happen when combining classes or decorators from different libraries that use incompatible metaclasses. Here's how you can address this issue:

1. Identify Incompatible Metaclasses: Check the metaclasses for BaseModel, BaseExtractor, and any decorators like @ai_model used in your class. This involves inspecting the __class__ attribute or using type() on these classes to understand their metaclass dependencies.

2. Unified Metaclass Solution: If incompatible metaclasses are identified, you might need to create a new metaclass that inherits from the conflicting metaclasses and use this as the metaclass for your class. This approach requires a solid understanding of Python's metaclass mechanisms.

3. Avoid Multiple Inheritance: If feasible, redesign your class to avoid inheriting from multiple classes with different metaclasses. This might mean changing the class hierarchy or preferring composition over inheritance.

4. Consult Documentation: Look into the documentation for marvin and other involved libraries for any guidance on integration and avoiding metaclass conflicts.

The issue arises from the attempt to mix classes or use decorators that introduce incompatible metaclasses. Ensuring compatibility between marvin_model and ai_model is crucial, as the error suggests a conflict when trying to subclass ai_model. Reviewing the implementation of @ai_model or consulting its documentation may provide further insights into resolving the conflict.

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from llama_index.