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fix: metadata filter not work (#19020)

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Co-authored-by: 金鹏程 <jinpengcheng01@corp.netease.com>
Co-authored-by: crazywoola <427733928@qq.com>
This commit is contained in:
kingpc 2025-04-30 11:06:03 +08:00 committed by GitHub
parent 1bc94b92ac
commit 65b7a783fe
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3 changed files with 18 additions and 0 deletions
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7
api/core/agent/cot_agent_runner.py
View File

@ -69,6 +69,13 @@ class CotAgentRunner(BaseAgentRunner, ABC):
tool_instances, prompt_messages_tools = self._init_prompt_tools()
self._prompt_messages_tools = prompt_messages_tools
# fix metadata filter not work
if app_config.dataset is not None:
metadata_filtering_conditions = app_config.dataset.retrieve_config.metadata_filtering_conditions
for key, dataset_retriever_tool in tool_instances.items():
if hasattr(dataset_retriever_tool, "retrieval_tool"):
dataset_retriever_tool.retrieval_tool.metadata_filtering_conditions = metadata_filtering_conditions
function_call_state = True
llm_usage: dict[str, Optional[LLMUsage]] = {"usage": None}
final_answer = ""

7
api/core/agent/fc_agent_runner.py
View File

@ -45,6 +45,13 @@ class FunctionCallAgentRunner(BaseAgentRunner):
# convert tools into ModelRuntime Tool format
tool_instances, prompt_messages_tools = self._init_prompt_tools()
# fix metadata filter not work
if app_config.dataset is not None:
metadata_filtering_conditions = app_config.dataset.retrieve_config.metadata_filtering_conditions
for key, dataset_retriever_tool in tool_instances.items():
if hasattr(dataset_retriever_tool, "retrieval_tool"):
dataset_retriever_tool.retrieval_tool.metadata_filtering_conditions = metadata_filtering_conditions
assert app_config.agent
iteration_step = 1

4
api/core/tools/utils/dataset_retriever/dataset_retriever_tool.py
View File

@ -4,6 +4,7 @@ from pydantic import BaseModel, Field
from core.rag.datasource.retrieval_service import RetrievalService
from core.rag.entities.context_entities import DocumentContext
from core.rag.entities.metadata_entities import MetadataCondition
from core.rag.models.document import Document as RetrievalDocument
from core.rag.retrieval.retrieval_methods import RetrievalMethod
from core.tools.utils.dataset_retriever.dataset_retriever_base_tool import DatasetRetrieverBaseTool
@ -33,6 +34,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
args_schema: type[BaseModel] = DatasetRetrieverToolInput
description: str = "use this to retrieve a dataset. "
dataset_id: str
metadata_filtering_conditions: MetadataCondition
@classmethod
def from_dataset(cls, dataset: Dataset, **kwargs):
@ -46,6 +48,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
tenant_id=dataset.tenant_id,
dataset_id=dataset.id,
description=description,
metadata_filtering_conditions=MetadataCondition(),
**kwargs,
)
@ -65,6 +68,7 @@ class DatasetRetrieverTool(DatasetRetrieverBaseTool):
dataset_id=dataset.id,
query=query,
external_retrieval_parameters=dataset.retrieval_model,
metadata_condition=self.metadata_filtering_conditions,
)
for external_document in external_documents:
document = RetrievalDocument(