from .base import BaseAsset

class PaimonAsset(BaseAsset):
    @classmethod
    def register(cls, client, catalog, namespace, name, location, **kwargs):
        return super().register(client, catalog, namespace, name, location, kind="APACHE_PAIMON", **kwargs)

    @classmethod
    def write(cls, client, catalog, namespace, name, data, location, schema=None, primary_keys=None, partition_keys=None, **kwargs):
        """
        Write data to a Paimon table using pypaimon.
        
        Args:
            client: PangolinClient
            catalog: Catalog name
            namespace: Namespace name
            name: Asset name
            data: Data to write (Pandas DataFrame or Arrow Table)
            location: Storage location (URI)
            schema: PyArrow schema (optional if inferred from data)
            primary_keys: List of primary key column names (optional)
            partition_keys: List of partition column names (optional)
        """
        try:
            from pypaimon import Schema
            from pypaimon.api import Catalog
            import pyarrow as pa
        except ImportError:
            raise ImportError("Please install 'pypaimon' (pip install pypangolin[paimon]) to use PaimonAsset")

        # Basic implementation assuming local file system or supported fs
        # Note: pypaimon API usage might vary, keeping it simple based on research
        
        # In a real scenario, we'd need to configure the Paimon Catalog to point to the location
        # For now, let's assume 'location' is a path accessible to pypaimon
        
        # 1. Write Data logic (Placeholder - heavily dependent on pypaimon API surfacing)
        # Assuming user has set up pypaimon catalog independently or we create a filesystem catalog at 'location'
        # Current research showed pypaimon uses Catalog to create tables.
        
        raise NotImplementedError("Paimon write support is experimental and requires pypaimon configuration. Use register() for existing tables.")
        
        # 2. Register
        return cls.register(client, catalog, namespace, name, location, **kwargs)
