kag产品端联动问题，index构建报错 #727
Description
- 参考官方文档尝试把约束模式抽取的extractor添加到kag_index_manager.py
@KAGIndexManager.register("spo_graph_index")
class KAGConstraintSPOIndexManager(KAGIndexManager):
@property
def name(self):
return "图谱约束模式索引管理器"
@property
def description(self) -> str:
return "它首先从文本中抽取实体和关系构建图谱，然后将文本块与图谱节点关联起来。在检索时，它同时利用图谱的结构化查询能力（CS/FR Retriever）和文本的向量检索能力，实现更精准、更具推理能力的检索，特别适合复杂的问答任务。"
@property
def schema(self) -> str:
return """
Chunk(文本块): IndexType
properties:
content(内容): Text
index: TextAndVector
KnowledgeUnit(知识点): IndexType
properties:
structedContent(结构化文本): Text
index: TextAndVector
ontology(本体): Text
desc(描述): Text
index: TextAndVector
relatedQuery(关联问): AtomicQuery
extendedKnowledge(关联外扩知识点):Text
content(内容): Text
index: TextAndVector
knowledgeType(知识类型): Text
AtomicQuery(原子问): IndexType
properties:
title(标题): Text
index: TextAndVector
relations:
sourceChunk(关联文本块): Chunk
similar(相似问题): AtomicQuery
relatedTo(相关): KnowledgeUnit
"""
@property
def index_cost(self) -> str:
msg = """
索引构建的成本：
未知
"""
return msg
@property
def applicable_scenarios(self) -> str:
return """
**适用场景**: 适用于需要深度推理和关联分析的复杂问题。它能够理解问题的结构，并在知识图谱和文本块之间进行联合查询，应对需要跨领域知识或多跳推理的场景。
**检索流程（多路并行）**:
- **路径1 (FR)**: `kg_fr_retriever(query)` -> 自由文本检索，召回相关文本块。
- **路径2 (CS)**: `kg_cs_retriever(logic_form)` -> 基于问题的逻辑结构，在图谱中进行精确检索。
- **路径3 (RC)**: `vector_chunk_retriever(query)` -> 纯向量检索，作为补充召回。
最终将多路结果融合，提供最全面的答案依据。
"""
@property
def retrieval_method(self) -> str:
return "通过构建chunk 与 图谱的关联，实现图谱、chunk 的检索，一般用于检索与图谱相关的chunk"
@classmethod
def build_extractor_config(
cls, llm_config: Dict, vectorize_model_config: Dict, **kwargs
):
kb_task_project_id = kwargs.get(KAGConstants.KAG_QA_TASK_CONFIG_KEY, None)
return [
{
"type": "schema_constraint_extractor",
"llm": llm_config,
"ner_prompt": {"type": "spg_entity"},
"std_prompt": {"type": "default_std"},
"relation_prompt": {"type": "spg_relation"},
"event_prompt": {"type": "spg_event"},
"kag_qa_task_config_key": kb_task_project_id,
}
]
@classmethod
def build_retriever_config(
cls, llm_config: Dict, vectorize_model_config: Dict, **kwargs
):
kb_task_project_id = kwargs.get(KAGConstants.KAG_QA_TASK_CONFIG_KEY, None)
return [
{
"type": "kg_cs_open_spg",
"path_select": {
"type": "exact_one_hop_select",
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"graph_api": {
"type": "openspg_graph_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
},
"entity_linking": {
"type": "entity_linking",
"recognition_threshold": 0.9,
"exclude_types": ["Chunk"],
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"graph_api": {
"type": "openspg_graph_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
},
"std_schema": {
"type": "default_std_schema",
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
},
"llm": llm_config,
"kag_qa_task_config_key": kb_task_project_id,
},
{
"type": "kg_fr_knowledge_unit",
"top_k": 20,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"graph_api": {
"type": "openspg_graph_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"path_select": {
"type": "fuzzy_one_hop_select",
"llm_client": llm_config,
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"graph_api": {
"type": "openspg_graph_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
},
"ppr_chunk_retriever_tool": {
"type": "ppr_chunk_retriever",
"llm_client": llm_config,
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"graph_api": {
"type": "openspg_graph_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
"ner": {
"type": "ner",
"kag_qa_task_config_key": kb_task_project_id,
"ner_prompt": {
"type": "default_question_ner",
"kag_qa_task_config_key": kb_task_project_id,
},
"std_prompt": {"type": "default_std"},
"llm_module": llm_config,
},
},
"entity_linking": {
"type": "entity_linking",
"recognition_threshold": 0.8,
"exclude_types": ["Chunk"],
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"graph_api": {
"type": "openspg_graph_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
},
"std_schema": {
"type": "default_std_schema",
"vectorize_model": vectorize_model_config,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"": kb_task_project_id,
},
"llm": llm_config,
"kag_qa_task_config_key": kb_task_project_id,
},
{
"type": "rc_open_spg",
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"vector_chunk_retriever": {
"type": "vector_chunk_retriever",
"vectorize_model": vectorize_model_config,
"score_threshold": 0.65,
"search_api": {
"type": "openspg_search_api",
"kag_qa_task_config_key": kb_task_project_id,
},
"kag_qa_task_config_key": kb_task_project_id,
},
"vectorize_model": vectorize_model_config,
"top_k": 20,
"kag_qa_task_config_key": kb_task_project_id,
},
]
在页面上新建项目，修改自定义schema，然后上传文档出现报错。
Create Index
2025-11-15 16:28:09(10.199.0.5): Task scheduling completed. cost:38 ms !
2025-11-15 16:28:09(10.199.0.5): Lock released successfully!
2025-11-15 16:28:09(10.199.0.5): Scheduler execute failed with error:com.antgroup.openspg.core.schema.model.SchemaException: property: eventTime is defined by system, no need to define or alter
at com.antgroup.openspg.core.schema.model.SchemaException.alterError(SchemaException.java:34)
at com.antgroup.openspg.server.biz.schema.impl.SchemaManagerImpl.alterSchema(SchemaManagerImpl.java:81)
at com.antgroup.openspg.server.biz.schema.impl.SchemaManagerImpl$$FastClassBySpringCGLIB$$d616d11c.invoke(<generated>)
at org.springframework.cglib.proxy.MethodProxy.invoke(MethodProxy.java:218)
at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.invokeJoinpoint(CglibAopProxy.java:793)
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:163)
at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:763)
at org.springframework.transaction.interceptor.TransactionInterceptor$1.proceedWithInvocation(TransactionInterceptor.java:123)
at org.springframework.transaction.interceptor.TransactionAspectSupport.invokeWithinTransaction(TransactionAspectSupport.java:388)
at org.springframework.transaction.interceptor.TransactionInterceptor.invoke(TransactionInterceptor.java:119)
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:186)
at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.proceed(CglibAopProxy.java:763)
at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:708)
at com.antgroup.openspg.server.biz.schema.impl.SchemaManagerImpl$$EnhancerBySpringCGLIB$$3c0fdfcf.alterSchema(<generated>)
at com.antgroup.openspg.server.core.scheduler.service.task.sync.builder.RetrievalSyncTask.submit(RetrievalSyncTask.java:91)
at com.antgroup.openspg.server.core.scheduler.service.task.sync.SyncTaskExecuteTemplate.execute(SyncTaskExecuteTemplate.java:25)
at com.antgroup.openspg.server.core.scheduler.service.task.TaskExecuteTemplate.executeEntry(TaskExecuteTemplate.java:53)
at com.antgroup.openspg.server.core.scheduler.service.engine.impl.SchedulerExecuteServiceImpl.executeTask(SchedulerExecuteServiceImpl.java:161)
at com.antgroup.openspg.server.core.scheduler.service.engine.impl.SchedulerExecuteServiceImpl.lambda$executeInstance$2(SchedulerExecuteServiceImpl.java:144)
at java.util.ArrayList.forEach(ArrayList.java:1259)
at com.antgroup.openspg.server.core.scheduler.service.engine.impl.SchedulerExecuteServiceImpl.executeInstance(SchedulerExecuteServiceImpl.java:144)
at com.antgroup.openspg.server.core.scheduler.service.engine.impl.SchedulerExecuteServiceImpl.executeInstance(SchedulerExecuteServiceImpl.java:132)
at com.antgroup.openspg.server.core.scheduler.service.api.impl.SchedulerServiceImpl.lambda$executeJob$0(SchedulerServiceImpl.java:124)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:750)
Caused by: java.lang.IllegalArgumentException: property: eventTime is defined by system, no need to define or alter
at com.antgroup.openspg.server.core.schema.service.alter.check.PropertyChecker.checkBuiltInProperty(PropertyChecker.java:205)
at com.antgroup.openspg.server.core.schema.service.alter.check.PropertyChecker.check(PropertyChecker.java:68)
at com.antgroup.openspg.server.core.schema.service.alter.check.BaseSpgTypeChecker.check(BaseSpgTypeChecker.java:62)
at com.antgroup.openspg.server.core.schema.service.alter.check.SchemaAlterChecker.check(SchemaAlterChecker.java:47)
at com.antgroup.openspg.server.core.schema.service.alter.stage.PreProcessStage.execute(PreProcessStage.java:65)
at com.antgroup.openspg.server.core.schema.service.alter.SchemaAlterPipeline.run(SchemaAlterPipeline.java:40)
at com.antgroup.openspg.server.biz.schema.impl.SchemaManagerImpl.alterSchema(SchemaManagerImpl.java:79)
... 24 more
2025-11-15 16:28:09(10.199.0.5): update index(spo_graph_index) schema
2025-11-15 16:28:09(10.199.0.5): update index schema index_ids:[7]
2025-11-15 16:28:09(10.199.0.5): Lock preempted successfully!