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| from enum import Enum | |
| from typing import List | |
| class ProcessStep(Enum): | |
| """Training process steps""" | |
| LIST_DOCUMENTS = "list_documents" | |
| GENERATE_DOCUMENT_EMBEDDINGS = "generate_document_embeddings" | |
| CHUNK_DOCUMENT = "process_chunks" | |
| CHUNK_EMBEDDING = "chunk_embedding" | |
| EXTRACT_DIMENSIONAL_TOPICS = "extract_dimensional_topics" | |
| GENERATE_BIOGRAPHY = "generate_biography" | |
| MODEL_DOWNLOAD = "model_download" | |
| MAP_ENTITY_NETWORK = "map_your_entity_network" | |
| DECODE_PREFERENCE_PATTERNS = "decode_preference_patterns" | |
| REINFORCE_IDENTITY = "reinforce_identity" | |
| AUGMENT_CONTENT_RETENTION = "augment_content_retention" | |
| TRAIN = "train" | |
| MERGE_WEIGHTS = "merge_weights" | |
| CONVERT_MODEL = "convert_model" | |
| def get_ordered_steps(cls) -> List["ProcessStep"]: | |
| """Get ordered steps""" | |
| return [ | |
| cls.MODEL_DOWNLOAD, | |
| cls.LIST_DOCUMENTS, | |
| cls.GENERATE_DOCUMENT_EMBEDDINGS, | |
| cls.CHUNK_DOCUMENT, | |
| cls.CHUNK_EMBEDDING, | |
| cls.EXTRACT_DIMENSIONAL_TOPICS, | |
| cls.GENERATE_BIOGRAPHY, | |
| cls.MAP_ENTITY_NETWORK, | |
| cls.DECODE_PREFERENCE_PATTERNS, | |
| cls.REINFORCE_IDENTITY, | |
| cls.AUGMENT_CONTENT_RETENTION, | |
| cls.TRAIN, | |
| cls.MERGE_WEIGHTS, | |
| cls.CONVERT_MODEL, | |
| ] | |
| def get_method_name(self) -> str: | |
| """Get the corresponding method name for this step""" | |
| return self.value | |