Request to clone a taxonomy with optional modifications. Purpose: Cloning creates a NEW taxonomy (with new ID) based on an existing one, allowing you to make changes that aren't allowed via PATCH (config, retriever_id, collections). This is the recommended way to iterate on taxonomy designs. Clone vs Template vs Version: - Clone: Copy THIS taxonomy and modify it (for iteration/fixes) - Template: Create taxonomy from a reusable pattern (for new projects) - Version: (Not implemented) - Use clone instead Use Cases: - Fix configuration errors without losing join history - Change retriever or input mappings - Change target collections - Test modifications before replacing production taxonomy - Create variants for different datasets All fields are OPTIONAL: - Omit a field to keep the original value - Provide a field to override the original value - taxonomy_name is REQUIRED (clones must have unique names)
| Name | Type | Description | Notes |
|---|---|---|---|
| taxonomy_name | str | REQUIRED. Name for the cloned taxonomy. Must be unique and different from the source taxonomy. | |
| description | str | OPTIONAL. Description override. If omitted, copies from source taxonomy. | [optional] |
| config | Config | [optional] |
from mixpeek.models.clone_taxonomy_request import CloneTaxonomyRequest
# TODO update the JSON string below
json = "{}"
# create an instance of CloneTaxonomyRequest from a JSON string
clone_taxonomy_request_instance = CloneTaxonomyRequest.from_json(json)
# print the JSON string representation of the object
print(CloneTaxonomyRequest.to_json())
# convert the object into a dict
clone_taxonomy_request_dict = clone_taxonomy_request_instance.to_dict()
# create an instance of CloneTaxonomyRequest from a dict
clone_taxonomy_request_from_dict = CloneTaxonomyRequest.from_dict(clone_taxonomy_request_dict)