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add object ranker
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parent
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commit
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4 changed files with 134 additions and 2 deletions
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@ -6,14 +6,24 @@ from llama_index.core.postprocessor.types import BaseNodePostprocessor
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from llama_index.postprocessor.colbert_rerank import ColbertRerank
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from metagpt.rag.factories.base import ConfigBasedFactory
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from metagpt.rag.schema import BaseRankerConfig, ColbertRerankConfig, LLMRankerConfig
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from metagpt.rag.rankers.object_ranker import ObjectSortPostprocessor
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from metagpt.rag.schema import (
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BaseRankerConfig,
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ColbertRerankConfig,
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LLMRankerConfig,
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ObjectRankerConfig,
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)
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class RankerFactory(ConfigBasedFactory):
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"""Modify creators for dynamically instance implementation."""
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def __init__(self):
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creators = {LLMRankerConfig: self._create_llm_ranker, ColbertRerankConfig: self._create_colbert_ranker}
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creators = {
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LLMRankerConfig: self._create_llm_ranker,
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ColbertRerankConfig: self._create_colbert_ranker,
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ObjectRankerConfig: self._create_object_ranker,
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}
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super().__init__(creators)
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def get_rankers(self, configs: list[BaseRankerConfig] = None, **kwargs) -> list[BaseNodePostprocessor]:
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@ -30,6 +40,9 @@ class RankerFactory(ConfigBasedFactory):
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def _create_colbert_ranker(self, config: ColbertRerankConfig, **kwargs) -> LLMRerank:
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return ColbertRerank(**config.model_dump())
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def _create_object_ranker(self, config: ObjectRankerConfig, **kwargs) -> LLMRerank:
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return ObjectSortPostprocessor(**config.model_dump())
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def _extract_llm(self, config: BaseRankerConfig = None, **kwargs) -> LLM:
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return self._val_from_config_or_kwargs("llm", config, **kwargs)
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54
metagpt/rag/rankers/object_ranker.py
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54
metagpt/rag/rankers/object_ranker.py
Normal file
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@ -0,0 +1,54 @@
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"""Object ranker."""
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import heapq
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import json
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from typing import Literal, Optional
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from llama_index.core.postprocessor.types import BaseNodePostprocessor
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from llama_index.core.schema import NodeWithScore, QueryBundle
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from pydantic import Field
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from metagpt.rag.schema import ObjectNode
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class ObjectSortPostprocessor(BaseNodePostprocessor):
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"""Sorted by object's field, desc or asc.
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Assumes nodes is list of ObjectNode with score.
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"""
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field_name: str = Field(..., description="field name of the object, field's value must can be compared.")
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order: Literal["desc", "asc"] = Field(default="desc", description="the direction of order.")
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top_n: int = 5
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@classmethod
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def class_name(cls) -> str:
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return "ObjectSortPostprocessor"
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def _postprocess_nodes(
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self,
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nodes: list[NodeWithScore],
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query_bundle: Optional[QueryBundle] = None,
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) -> list[NodeWithScore]:
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"""Postprocess nodes."""
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if query_bundle is None:
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raise ValueError("Missing query bundle in extra info.")
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if not nodes:
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return []
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self._check_metadata(nodes[0].node)
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sort_key = lambda node: json.loads(node.node.metadata["obj_json"])[self.field_name]
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return self._get_sort_func()(self.top_n, nodes, key=sort_key)
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def _get_sort_func(self):
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return heapq.nlargest if self.order == "desc" else heapq.nsmallest
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def _check_metadata(self, node: ObjectNode):
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try:
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obj_dict = json.loads(node.metadata.get("obj_json"))
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except Exception as e:
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raise ValueError(f"Invalid object json in metadata: {node.metadata}, error: {e}")
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if self.field_name not in obj_dict:
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raise ValueError(f"Field '{self.field_name}' not found in object: {obj_dict}")
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@ -101,6 +101,11 @@ class ColbertRerankConfig(BaseRankerConfig):
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keep_retrieval_score: bool = Field(default=False, description="Whether to keep the retrieval score in metadata.")
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class ObjectRankerConfig(BaseRankerConfig):
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field_name: str = Field(..., description="field name of the object, field's value must can be compared.")
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order: Literal["desc", "asc"] = Field(default="desc", description="the direction of order.")
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class BaseIndexConfig(BaseModel):
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"""Common config for index.
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