From 1498b91bcff9216d233bc0d26c83c6c066bbed34 Mon Sep 17 00:00:00 2001 From: wangys <3401275564@qq.com> Date: Sat, 20 Dec 2025 12:03:26 +0800 Subject: [PATCH] =?UTF-8?q?=E7=9F=A5=E8=AF=86=E5=BA=93=E5=88=9D=E5=A7=8B?= =?UTF-8?q?=E5=8C=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../database/postgres/sql/initDataConfig.sql | 12 +- .../ai/service/impl/KnowledgeServiceImpl.java | 74 +- .../resources/mapper/TbKnowledgeMapper.xml | 2 +- .../java/org/xyzh/api/ai/dto/TbKnowledge.java | 4 +- .../xyzh/api/ai/service/KnowledgeService.java | 9 + .../xyzh/workcase/config/KnowledgeInit.java | 52 +- urbanLifelineServ/模型供应商.json | 3342 +++++++++++++++++ .../views/admin/knowledge/KnowLedgeView.scss | 72 + .../views/admin/knowledge/KnowLedgeView.vue | 29 +- 9 files changed, 3562 insertions(+), 34 deletions(-) create mode 100644 urbanLifelineServ/模型供应商.json diff --git a/urbanLifelineServ/.bin/database/postgres/sql/initDataConfig.sql b/urbanLifelineServ/.bin/database/postgres/sql/initDataConfig.sql index bab83223..d16074d1 100644 --- a/urbanLifelineServ/.bin/database/postgres/sql/initDataConfig.sql +++ b/urbanLifelineServ/.bin/database/postgres/sql/initDataConfig.sql @@ -65,7 +65,7 @@ INSERT INTO config.tb_sys_config ( -- Dify AI 配置 -- Dify 基础配置 ('CFG-0450', 'cfg_dify_api_base', 'dify.apiBaseUrl', 'Dify API地址', 'http://localhost:8000/v1', 'String', 'input', 'Dify API基础地址', NULL, NULL, 'dify', 'mod_agent', 10, 1, 'Dify服务的API基础地址，如 http://localhost/dify/api', 'system', NULL, NULL, now(), NULL, NULL, false), -('CFG-0452', 'cfg_dify_knowledge_key','dify.knowledgeApiKey', '知识库API密钥', 'dataset-nupqKP4LONpzdXmGthIrbjeJ', 'String', 'password', '知识库API密钥', NULL, NULL, 'dify', 'mod_agent', 30, 1, '用于访问Dify知识库的API密钥', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0452', 'cfg_dify_knowledge_key','dify.knowledgeApiKey', '知识库API密钥', 'dataset-LepcmgOE95n2S7yweNhQzNoB', 'String', 'password', '知识库API密钥', NULL, NULL, 'dify', 'mod_agent', 30, 1, '用于访问Dify知识库的API密钥', 'system', NULL, NULL, now(), NULL, NULL, false), ('CFG-0453', 'cfg_dify_timeout', 'dify.timeout', '请求超时时间', '60', 'INTEGER', 'input', '请求超时时间（秒）', NULL, NULL, 'dify', 'mod_agent', 40, 1, 'API请求的超时时间（10-600秒）', 'system', NULL, NULL, now(), NULL, NULL, false), ('CFG-0454', 'cfg_dify_conn_timeout','dify.connectTimeout', '连接超时时间', '10', 'INTEGER', 'input', '连接超时时间（秒）', NULL, NULL, 'dify', 'mod_agent', 50, 1, 'API连接的超时时间（5-60秒）', 'system', NULL, NULL, now(), NULL, NULL, false), ('CFG-0455', 'cfg_dify_read_timeout','dify.readTimeout', '读取超时时间', '60', 'INTEGER', 'input', '读取超时时间（秒）', NULL, NULL, 'dify', 'mod_agent', 60, 1, 'API读取响应的超时时间（10-600秒）', 'system', NULL, NULL, now(), NULL, NULL, false), @@ -76,8 +76,14 @@ INSERT INTO config.tb_sys_config ( ('CFG-0461', 'cfg_dify_upload_max', 'dify.upload.maxSize', '最大文件大小', '50', 'INTEGER', 'input', '最大文件大小（MB）', NULL, NULL, 'dify', 'mod_agent', 90, 1, '单个文件上传的最大大小限制（1-500MB）', 'system', NULL, NULL, now(), NULL, NULL, false), -- Dify 知识库配置 -('CFG-0470', 'cfg_dify_index_tech', 'dify.dataset.defaultIndexingTechnique','默认索引方式', 'high_quality', 'String', 'select', '默认索引方式', NULL, '["high_quality", "economy"]'::json, 'dify', 'mod_agent', 100, 1, '知识库文档的默认索引方式：high_quality（高质量）或 economy（经济）', 'system', NULL, NULL, now(), NULL, NULL, false), -('CFG-0471', 'cfg_dify_embed_model', 'dify.dataset.defaultEmbeddingModel','默认Embedding模型', 'text-embedding-ada-002', 'String', 'input', '默认Embedding模型', NULL, NULL, 'dify', 'mod_agent', 110, 1, '知识库使用的默认Embedding模型名称', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0470', 'cfg_dify_index_tech', 'dify.knowledge.indexing.tchnique','默认索引方式', 'high_quality', 'String', 'select', '默认索引方式', NULL, '["high_quality", "economy"]'::json, 'dify', 'mod_agent', 100, 1, '知识库文档的默认索引方式：high_quality（高质量）或 economy（经济）', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0471', 'cfg_dify_embed_model', 'dify.knowledge.embedding.model','默认Embedding模型', 'Qwen/Qwen3-Embedding-8B', 'String', 'input', '默认Embedding模型', NULL, NULL, 'dify', 'mod_agent', 110, 1, '知识库使用的默认Embedding模型名称', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0472', 'cfg_dify_embed_provider', 'dify.knowledge.embedding.model.provider','Embedding模型供应商', 'langgenius/siliconflow/siliconflow', 'String', 'input', 'Embedding模型供应商', NULL, NULL, 'dify', 'mod_agent', 120, 1, 'Embedding模型的供应商标识', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0473', 'cfg_dify_rerank_enable', 'dify.knowledge.reranking.enable','启用Rerank', 'true', 'BOOLEAN', 'switch', '是否启用Rerank重排序', NULL, NULL, 'dify', 'mod_agent', 130, 1, '启用后会对检索结果进行重排序提升相关性', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0474', 'cfg_dify_rerank_model', 'dify.knowledge.rerank.model','Rerank模型', 'Qwen/Qwen3-Reranker-8B', 'String', 'input', 'Rerank重排序模型', NULL, NULL, 'dify', 'mod_agent', 140, 1, '知识库使用的Rerank模型名称', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0475', 'cfg_dify_rerank_provider', 'dify.knowledge.rerank.model.provider','Rerank模型供应商', 'langgenius/siliconflow/siliconflow', 'String', 'input', 'Rerank模型供应商', NULL, NULL, 'dify', 'mod_agent', 150, 1, 'Rerank模型的供应商标识', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0476', 'cfg_dify_retrieval_topk', 'dify.knowledge.retrieval.top.k','检索TopK', '5', 'INTEGER', 'input', '检索返回的最大文档数', NULL, NULL, 'dify', 'mod_agent', 160, 1, '知识库检索时返回的最相关文档数量（1-20）', 'system', NULL, NULL, now(), NULL, NULL, false), +('CFG-0477', 'cfg_dify_retrieval_threshold', 'dify.knowledge.retrieval.score.threshold','相似度阈值', '0.5', 'DOUBLE', 'input', '检索相似度阈值', NULL, NULL, 'dify', 'mod_agent', 170, 1, '低于此阈值的文档将被过滤（0.0-1.0）', 'system', NULL, NULL, now(), NULL, NULL, false), -- 日志与审计 ('CFG-0501', 'cfg_log_level', 'log.level', '日志级别', 'INFO', 'String', 'select', '系统日志级别', NULL, '["DEBUG", "INFO", "WARN", "ERROR"]'::json, 'log', 'mod_system', 10, 0, 'DEBUG/INFO/WARN/ERROR', 'system', NULL, NULL, now(), NULL, NULL, false), diff --git a/urbanLifelineServ/ai/src/main/java/org/xyzh/ai/service/impl/KnowledgeServiceImpl.java b/urbanLifelineServ/ai/src/main/java/org/xyzh/ai/service/impl/KnowledgeServiceImpl.java index 9f3b515e..51a8f232 100644 --- a/urbanLifelineServ/ai/src/main/java/org/xyzh/ai/service/impl/KnowledgeServiceImpl.java +++ b/urbanLifelineServ/ai/src/main/java/org/xyzh/ai/service/impl/KnowledgeServiceImpl.java @@ -20,6 +20,7 @@ import org.xyzh.api.ai.service.AIFileUploadService; import org.xyzh.api.ai.service.KnowledgeService; import org.xyzh.api.file.dto.TbSysFileDTO; import org.xyzh.api.file.service.FileService; +import org.xyzh.common.core.domain.LoginDomain; import org.xyzh.common.core.domain.ResultDomain; import org.xyzh.common.core.page.PageParam; import org.xyzh.common.utils.id.IdUtil; @@ -75,12 +76,14 @@ public class KnowledgeServiceImpl implements KnowledgeService { } // 2. 获取当前用户 - String userId = LoginUtil.getCurrentUserId(); - if (!StringUtils.hasText(userId)) { + LoginDomain loginDomain = LoginUtil.getCurrentLogin(); + if (loginDomain == null || !StringUtils.hasText(loginDomain.getUser().getUserId())) { return ResultDomain.failure("用户未登录"); } + String userId = loginDomain.getUser().getUserId(); // 3. 生成ID + knowledge.setDeptPath(loginDomain.getUserDepts().get(0).getDeptPath()); knowledge.setOptsn(IdUtil.getOptsn()); knowledge.setKnowledgeId(IdUtil.getSnowflakeId()); knowledge.setCreator(userId); @@ -126,6 +129,73 @@ public class KnowledgeServiceImpl implements KnowledgeService { return ResultDomain.failure("创建知识库失败"); } + /** + * @description 内部创建知识库（不检查登录状态，用于系统初始化） + * 注意：调用方需要自行设置knowledgeId和creator + * @param knowledge 知识库信息 + * @return ResultDomain 创建结果 + * @author yslg + * @since 2025-12-20 + */ + @Override + public ResultDomain createKnowledgeInternal(TbKnowledge knowledge) { + // 1. 参数校验 + if (!StringUtils.hasText(knowledge.getTitle())) { + return ResultDomain.failure("知识库标题不能为空"); + } + if (!StringUtils.hasText(knowledge.getKnowledgeId())) { + return ResultDomain.failure("知识库ID不能为空"); + } + + // 2. 设置默认值 + if (!StringUtils.hasText(knowledge.getOptsn())) { + knowledge.setOptsn(IdUtil.getOptsn()); + } + if (!StringUtils.hasText(knowledge.getCreator())) { + knowledge.setCreator("system"); + } + + // 3. 创建Dify知识库 + String difyDatasetId = null; + try { + DatasetCreateRequest createRequest = new DatasetCreateRequest(); + createRequest.setName(knowledge.getTitle()); + createRequest.setDescription(knowledge.getDescription()); + if (StringUtils.hasText(knowledge.getDifyIndexingTechnique())) { + createRequest.setIndexingTechnique(knowledge.getDifyIndexingTechnique()); + } + + DatasetCreateResponse difyResponse = difyApiClient.createDataset(createRequest); + if (difyResponse != null && StringUtils.hasText(difyResponse.getId())) { + difyDatasetId = difyResponse.getId(); + knowledge.setDifyDatasetId(difyDatasetId); + } else { + return ResultDomain.failure("创建Dify知识库失败"); + } + } catch (Exception e) { + logger.error("创建Dify知识库异常: {}", e.getMessage(), e); + return ResultDomain.failure("创建Dify知识库异常: " + e.getMessage()); + } + + // 4. 插入数据库 + int rows = knowledgeMapper.insertKnowledge(knowledge); + if (rows > 0) { + logger.info("内部创建知识库成功: knowledgeId={}, title={}", knowledge.getKnowledgeId(), knowledge.getTitle()); + return ResultDomain.success("创建知识库成功", knowledge); + } + + // 数据库保存失败，补偿删除Dify知识库 + if (StringUtils.hasText(difyDatasetId)) { + try { + difyApiClient.deleteDataset(difyDatasetId); + logger.info("补偿删除Dify知识库成功: difyDatasetId={}", difyDatasetId); + } catch (Exception e) { + logger.warn("补偿删除Dify知识库失败: {}", e.getMessage()); + } + } + return ResultDomain.failure("创建知识库失败"); + } + /** * @description 更新知识库，包含dify知识库各种参数的配置 * @param knowledge 知识库信息 diff --git a/urbanLifelineServ/ai/src/main/resources/mapper/TbKnowledgeMapper.xml b/urbanLifelineServ/ai/src/main/resources/mapper/TbKnowledgeMapper.xml index 4cd67bfc..1fb778ad 100644 --- a/urbanLifelineServ/ai/src/main/resources/mapper/TbKnowledgeMapper.xml +++ b/urbanLifelineServ/ai/src/main/resources/mapper/TbKnowledgeMapper.xml @@ -14,7 +14,7 @@ - + diff --git a/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/dto/TbKnowledge.java b/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/dto/TbKnowledge.java index 0c042fd9..2489abf2 100644 --- a/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/dto/TbKnowledge.java +++ b/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/dto/TbKnowledge.java @@ -40,8 +40,8 @@ public class TbKnowledge extends BaseDTO{ @Schema(description = "Rerank模型提供商") private String rerankModelProvider; - @Schema(description = "是否启用Rerank（0否 1是）") - private Integer rerankingEnable; + @Schema(description = "是否启用Rerank（false否 true是）") + private Boolean rerankingEnable; @Schema(description = "检索Top K（返回前K个结果）") private Integer retrievalTopK; diff --git a/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/service/KnowledgeService.java b/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/service/KnowledgeService.java index b62ec80f..44c26dba 100644 --- a/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/service/KnowledgeService.java +++ b/urbanLifelineServ/apis/api-ai/src/main/java/org/xyzh/api/ai/service/KnowledgeService.java @@ -24,6 +24,15 @@ public interface KnowledgeService { */ ResultDomain createKnowledge(TbKnowledge knowledge); + /** + * @description 内部创建知识库（不检查登录状态，用于系统初始化） + * @param knowledge 知识库信息（需要包含knowledgeId和creator） + * @return ResultDomain 创建结果 + * @author yslg + * @since 2025-12-20 + */ + ResultDomain createKnowledgeInternal(TbKnowledge knowledge); + /** * @description 更新知识库，包含dify知识库各种参数的配置 * @param knowledge 知识库信息 diff --git a/urbanLifelineServ/workcase/src/main/java/org/xyzh/workcase/config/KnowledgeInit.java b/urbanLifelineServ/workcase/src/main/java/org/xyzh/workcase/config/KnowledgeInit.java index 5965a4f7..38c67e89 100644 --- a/urbanLifelineServ/workcase/src/main/java/org/xyzh/workcase/config/KnowledgeInit.java +++ b/urbanLifelineServ/workcase/src/main/java/org/xyzh/workcase/config/KnowledgeInit.java @@ -4,7 +4,6 @@ import java.util.ArrayList; import java.util.List; import org.apache.dubbo.config.annotation.DubboReference; -import org.bouncycastle.jcajce.provider.asymmetric.EXTERNAL; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.boot.CommandLineRunner; @@ -14,6 +13,7 @@ import org.xyzh.api.ai.dto.TbKnowledge; import org.xyzh.api.ai.service.KnowledgeService; import org.xyzh.api.system.service.SysConfigService; import org.xyzh.common.core.domain.ResultDomain; +import org.xyzh.common.utils.id.IdUtil; /** * @description 初始化客服系统必须的8个知识库，4个内部知识库，4个外部知识库，运行结束即销毁 @@ -44,16 +44,13 @@ public class KnowledgeInit { List knowledges = buildKnowledgeConfigs(); int successCount = 0; int skipCount = 0; - - for (TbKnowledge knowledge : knowledges) { - if (checkKnowledgeExists(knowledge)) { - logger.info("知识库已存在，跳过: {}", knowledge.getTitle()); + for(TbKnowledge knowledge : knowledges){ + if(!checkKnowledgeExists(knowledge.getKnowledgeId())){ + if(createKnowledge(knowledge)){ + successCount++; + } + }else{ skipCount++; - continue; - } - - if (createKnowledge(knowledge)) { - successCount++; } } @@ -66,6 +63,18 @@ public class KnowledgeInit { */ private List buildKnowledgeConfigs() { List knowledges = new ArrayList<>(); + // 从数据库获取知识库配置默认信息 + TbKnowledge baseKnowledge = new TbKnowledge(); + baseKnowledge.setDifyIndexingTechnique(sysConfigService.getStringConfig("dify.knowledge.indexing.tchnique")); + baseKnowledge.setEmbeddingModel(sysConfigService.getStringConfig("dify.knowledge.embedding.model")); + baseKnowledge.setEmbeddingModelProvider(sysConfigService.getStringConfig("dify.knowledge.embedding.model.provider")); + baseKnowledge.setRerankingEnable(sysConfigService.getBooleanConfig("dify.knowledge.reranking.enable")); + baseKnowledge.setRerankModel(sysConfigService.getStringConfig("dify.knowledge.rerank.model")); + baseKnowledge.setRerankModelProvider(sysConfigService.getStringConfig("dify.knowledge.rerank.model.provider")); + baseKnowledge.setRetrievalTopK(sysConfigService.getIntConfig("dify.knowledge.retrieval.top.k")); + baseKnowledge.setRetrievalScoreThreshold(sysConfigService.getDoubleConfig("dify.knowledge.retrieval.score.threshold")); + + // 外部知识库 TbKnowledge outerDevOperKnowledge = new TbKnowledge(); outerDevOperKnowledge.setKnowledgeId("workcase_outer_device_operate"); @@ -125,12 +134,29 @@ public class KnowledgeInit { knowledges.add(innerServChatKnowledge); // 统一设置dify知识库相关参数,并设置service为workcase + for(TbKnowledge knowledge: knowledges){ + knowledge.setService(SERVICE_WORKCASE); + knowledge.setOptsn(IdUtil.getOptsn()); + // 从baseKnowledge同步知识库默认配置 + knowledge.setDifyIndexingTechnique(baseKnowledge.getDifyIndexingTechnique()); + knowledge.setEmbeddingModel(baseKnowledge.getEmbeddingModel()); + knowledge.setEmbeddingModelProvider(baseKnowledge.getEmbeddingModelProvider()); + knowledge.setRerankingEnable(baseKnowledge.getRerankingEnable()); + knowledge.setRerankModel(baseKnowledge.getRerankModel()); + knowledge.setRerankModelProvider(baseKnowledge.getRerankModelProvider()); + knowledge.setRetrievalTopK(baseKnowledge.getRetrievalTopK()); + knowledge.setRetrievalScoreThreshold(baseKnowledge.getRetrievalScoreThreshold()); + } return knowledges; } - private boolean checkKnowledgeExists(TbKnowledge knowledge){ - return true; + private boolean checkKnowledgeExists(String knowledgeId){ + ResultDomain knowledge = knowledgeService.getKnowledgeById(knowledgeId); + if(knowledge.getSuccess() && knowledge.getData() != null){ + return true; + } + return false; } /** @@ -138,7 +164,7 @@ public class KnowledgeInit { */ private boolean createKnowledge(TbKnowledge knowledge) { - ResultDomain result = knowledgeService.createKnowledge(knowledge); + ResultDomain result = knowledgeService.createKnowledgeInternal(knowledge); if (result.getSuccess()) { logger.info("创建知识库成功: {} [{}]", knowledge.getTitle(), knowledge.getCategory()); diff --git a/urbanLifelineServ/模型供应商.json b/urbanLifelineServ/模型供应商.json new file mode 100644 index 00000000..581fca5d --- /dev/null +++ b/urbanLifelineServ/模型供应商.json @@ -0,0 +1,3342 @@ +{ + "data": [ + { + "model": "Pro\/moonshotai\/Kimi-K2-Instruct", + "label": { + "zh_Hans": "Pro\/moonshotai\/Kimi-K2-Instruct", + "en_US": "Pro\/moonshotai\/Kimi-K2-Instruct" + }, + "model_type": "llm", + "features": [ + "agent-thought" + ], + "fetch_from": "predefined-model", + "model_properties": { + "context_size": 128000, + "mode": "chat" + }, + "deprecated": false, + "status": "active", + "load_balancing_enabled": false, + "has_invalid_load_balancing_configs": false, + "provider": { + "provider": "langgenius\/siliconflow\/siliconflow", + "label": { + "zh_Hans": "\u7845\u57fa\u6d41\u52a8", + "en_US": "SiliconFlow" + }, + "icon_small": { + "zh_Hans": "\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_small\/zh_Hans", + "en_US": "\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_small\/en_US" + }, + "icon_small_dark": null, + "icon_large": { + "zh_Hans": "\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_large\/zh_Hans", + "en_US": "\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_large\/en_US" + }, + "supported_model_types": [ + "llm", + "text-embedding", + "rerank", + "speech2text", + "tts" + ], + "models": [], + "tenant_id": "fe3bcf55-9a04-4850-8473-7f97e1c09b97" + } + }, + { + "model": "moonshotai\/Kimi-K2-Instruct", + "label": { + "zh_Hans": "moonshotai\/Kimi-K2-Instruct", + "en_US": "moonshotai\/Kimi-K2-Instruct" + 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"\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_small\/en_US" + }, + "icon_small_dark": null, + "icon_large": { + "zh_Hans": "\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_large\/zh_Hans", + "en_US": "\/console\/api\/workspaces\/fe3bcf55-9a04-4850-8473-7f97e1c09b97\/model-providers\/langgenius\/siliconflow\/siliconflow\/icon_large\/en_US" + }, + "supported_model_types": [ + "llm", + "text-embedding", + "rerank", + "speech2text", + "tts" + ], + "models": [], + "tenant_id": "fe3bcf55-9a04-4850-8473-7f97e1c09b97" + } + } + ] +} \ No newline at end of file diff --git a/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.scss b/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.scss index e69de29b..bde5da5a 100644 --- a/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.scss +++ b/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.scss @@ -0,0 +1,72 @@ +.kb-categories { + display: grid; + grid-template-columns: repeat(auto-fill, minmax(200px, 1fr)); + gap: 16px; + margin-bottom: 24px; + + .kb-category-card { + display: flex; + flex-direction: column; + align-items: center; + gap: 8px; + padding: 20px 16px; + background: #f5f7fa; + border: 2px solid transparent; + border-radius: 8px; + cursor: pointer; + transition: all 0.3s ease; + + &:hover { + background: #ecf5ff; + border-color: #b3d8ff; + } + + &.active { + background: #ecf5ff; + border-color: #409eff; + } + + .el-icon { + font-size: 32px; + } + + .cat-name { + font-size: 14px; + font-weight: 500; + color: #303133; + text-align: center; + } + + .cat-count { + font-size: 12px; + color: #909399; + } + } +} + +.kb-files-section { + .section-toolbar { + display: flex; + justify-content: space-between; + align-items: center; + margin-bottom: 16px; + + h3 { + margin: 0; + font-size: 16px; + font-weight: 500; + color: #303133; + } + } + + .file-name-cell { + display: flex; + align-items: center; + gap: 8px; + + .file-icon { + color: #409eff; + font-size: 18px; + } + } +} diff --git a/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.vue b/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.vue index 5488bb4e..51b52504 100644 --- a/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.vue +++ b/urbanLifelineWeb/packages/workcase/src/views/admin/knowledge/KnowLedgeView.vue @@ -157,10 +157,8 @@ const currentTabDesc = computed(() => currentTabConfig.value.desc) const currentTabLabel = computed(() => currentTabConfig.value.label) const currentTabColor = computed(() => currentTabConfig.value.color) -// 当前 Tab 下的知识库列表 -const currentKnowledges = computed(() => - knowledges.value.filter((kb: TbKnowledge) => kb.category === activeTab.value) -) +// 当前 Tab 下的知识库列表（直接使用查询结果，不再前端过滤） +const currentKnowledges = computed(() => knowledges.value) // 当前选中的知识库名称 const currentKnowledgeName = computed(() => { @@ -176,16 +174,18 @@ const filteredDocuments = computed(() => { ) }) -// 获取知识库列表 +// 获取知识库列表（根据当前 Tab 的 category 查询） const fetchKnowledges = async () => { loading.value = true try { - const result = await aiKnowledgeAPI.listKnowledges({ service: 'workcase' }) - if (result.success && Array.isArray(result.data)) { - knowledges.value = result.data - // 默认选中当前 Tab 下的第一个知识库 - selectFirstKnowledge() - } + const result = await aiKnowledgeAPI.listKnowledges({ + service: 'workcase', + category: activeTab.value + }) + console.log('知识库列表响应:', result) + // API 返回的是 dataList 字段 + knowledges.value = result.dataList || [] + selectFirstKnowledge() } catch (error) { console.error('获取知识库列表失败:', error) ElMessage.error('获取知识库列表失败') @@ -236,10 +236,13 @@ const fetchDocuments = async (knowledgeId: string) => { } } -// Tab 切换 +// Tab 切换时重新查询对应类别的知识库 const handleTabChange = () => { searchKeyword.value = '' - selectFirstKnowledge() + knowledges.value = [] + activeKnowledgeId.value = '' + documents.value = [] + fetchKnowledges() } // 选择知识库