From 6f5c80da16801f4d9553297115e02c6a342a350c Mon Sep 17 00:00:00 2001 From: qhd <1766646056@qq.com> Date: Fri, 3 Apr 2026 09:16:53 +0800 Subject: [PATCH] =?UTF-8?q?feat:=20rag=E5=88=9D=E5=A7=8B=E7=89=88?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .idea/.gitignore | 10 + .idea/modules.xml | 8 + .idea/rag.iml | 9 + .idea/vcs.xml | 6 + config.yml | 122 +++ consts/document/status.go | 26 + consts/document/vector_status.go | 28 + consts/public/redis_key.go | 20 + consts/public/table_name.go | 15 + controller/dataset.go | 48 ++ controller/dataset_index.go | 5 + controller/document.go | 54 ++ controller/document_chunk.go | 29 + controller/keyword.go | 43 ++ dao/dataset.go | 88 +++ dao/dataset_index.go | 59 ++ dao/document.go | 87 +++ dao/document_chunk.go | 104 +++ dao/keyword.go | 96 +++ go.mod | 167 ++++ go.sum | 1239 ++++++++++++++++++++++++++++++ main.go | 64 ++ model/dto/dataset.go | 69 ++ model/dto/dataset_index.go | 1 + model/dto/document.go | 108 +++ model/dto/document_chunk.go | 64 ++ model/dto/keyword.go | 70 ++ model/entity/dataset.go | 37 + model/entity/dataset_index.go | 46 ++ model/entity/document.go | 64 ++ model/entity/document_chunk.go | 49 ++ model/entity/keyword.go | 27 + service/dataset.go | 87 +++ service/dataset_index.go | 5 + service/document.go | 483 ++++++++++++ service/document_chunk.go | 176 +++++ service/keyword.go | 65 ++ update.sql | 162 ++++ 38 files changed, 3840 insertions(+) create mode 100644 .idea/.gitignore create mode 100644 .idea/modules.xml create mode 100644 .idea/rag.iml create mode 100644 .idea/vcs.xml create mode 100644 config.yml create mode 100644 consts/document/status.go create mode 100644 consts/document/vector_status.go create mode 100644 consts/public/redis_key.go create mode 100644 consts/public/table_name.go create mode 100644 controller/dataset.go create mode 100644 controller/dataset_index.go create mode 100644 controller/document.go create mode 100644 controller/document_chunk.go create mode 100644 controller/keyword.go create mode 100644 dao/dataset.go create mode 100644 dao/dataset_index.go create mode 100644 dao/document.go create mode 100644 dao/document_chunk.go create mode 100644 dao/keyword.go create mode 100644 go.mod create mode 100644 go.sum create mode 100644 main.go create mode 100644 model/dto/dataset.go create mode 100644 model/dto/dataset_index.go create mode 100644 model/dto/document.go create mode 100644 model/dto/document_chunk.go create mode 100644 model/dto/keyword.go create mode 100644 model/entity/dataset.go create mode 100644 model/entity/dataset_index.go create mode 100644 model/entity/document.go create mode 100644 model/entity/document_chunk.go create mode 100644 model/entity/keyword.go create mode 100644 service/dataset.go create mode 100644 service/dataset_index.go create mode 100644 service/document.go create mode 100644 service/document_chunk.go create mode 100644 service/keyword.go create mode 100644 update.sql diff --git a/.idea/.gitignore b/.idea/.gitignore new file mode 100644 index 0000000..b6b1ecf --- /dev/null +++ b/.idea/.gitignore @@ -0,0 +1,10 @@ +# 默认忽略的文件 +/shelf/ +/workspace.xml +# 已忽略包含查询文件的默认文件夹 +/queries/ +# Datasource local storage ignored files +/dataSources/ +/dataSources.local.xml +# 基于编辑器的 HTTP 客户端请求 +/httpRequests/ diff --git a/.idea/modules.xml b/.idea/modules.xml new file mode 100644 index 0000000..5a1de37 --- /dev/null +++ b/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/.idea/rag.iml b/.idea/rag.iml new file mode 100644 index 0000000..5e764c4 --- /dev/null +++ b/.idea/rag.iml @@ -0,0 +1,9 @@ + + + + + + + + + \ No newline at end of file diff --git a/.idea/vcs.xml b/.idea/vcs.xml new file mode 100644 index 0000000..35eb1dd --- /dev/null +++ b/.idea/vcs.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/config.yml b/config.yml new file mode 100644 index 0000000..3996fb8 --- /dev/null +++ b/config.yml @@ -0,0 +1,122 @@ +server: + address: :3006 + name: rag + workerId: 1 + +# Database. +database: + default: + - type: "pgsql" + host: "116.204.74.41" + port: "15432" + user: "postgres" + pass: "Bjang09@686^*^" + name: "rag" + role: "master" # (可选)数据库主从角色(master/slave)，默认为master。如果不使用应用主从机制请不配置或留空即可。 + debug: false # (可选)开启调试模式 + dryRun: false # (可选)ORM空跑(只读不写) + charset: "utf8" # (可选)数据库编码(如: utf8mb4/utf8/gbk/gb2312)，一般设置为utf8mb4。默认为utf8。 + timezone: "Asia/Shanghai" # (可选)时区配置，例如:Local + maxIdle: 5 # (可选)连接池最大闲置的连接数(默认10) + maxOpen: 20 # (可选)连接池最大打开的连接数(默认无限制) + maxLifetime: "30s" # (可选)连接对象可重复使用的时间长度(默认30秒) + maxIdleConnTime: "30s" # (可选，v2.10新增)连接池中空闲连接的最大生存时间(默认30秒)。可以通过配置文件或SetConnMaxIdleTime方法设置，避免长时间空闲连接占用资源。 + createdAt: "created_at" # (可选)自动创建时间字段名称 + updatedAt: "updated_at" # (可选)自动更新时间字段名称 + deletedAt: "deleted_at" # (可选)软删除时间字段名称 + timeMaintainDisabled: false # (可选)是否完全关闭时间更新特性，为true时CreatedAt/UpdatedAt/DeletedAt都将失效 + - type: "pgsql" + host: "116.204.74.41" + port: "15432" + user: "postgres" + pass: "Bjang09@686^*^" + name: "rag" + role: "slave" # (可选)数据库主从角色(master/slave)，默认为master。如果不使用应用主从机制请不配置或留空即可。 + debug: false # (可选)开启调试模式 + dryRun: false # (可选)ORM空跑(只读不写) + charset: "utf8" # (可选)数据库编码(如: utf8mb4/utf8/gbk/gb2312)，一般设置为utf8mb4。默认为utf8。 + timezone: "Asia/Shanghai" # (可选)时区配置，例如:Local + maxIdle: 5 # (可选)连接池最大闲置的连接数(默认10) + maxOpen: 20 # (可选)连接池最大打开的连接数(默认无限制) + maxLifetime: "30s" # (可选)连接对象可重复使用的时间长度(默认30秒) + maxIdleConnTime: "30s" # (可选，v2.10新增)连接池中空闲连接的最大生存时间(默认30秒)。可以通过配置文件或SetConnMaxIdleTime方法设置，避免长时间空闲连接占用资源。 + createdAt: "created_at" # (可选)自动创建时间字段名称 + updatedAt: "updated_at" # (可选)自动更新时间字段名称 + deletedAt: "deleted_at" # (可选)软删除时间字段名称 + timeMaintainDisabled: false # (可选)是否完全关闭时间更新特性，为true时CreatedAt/UpdatedAt/DeletedAt都将失效 + tenant-1: + - type: "pgsql" + host: "localhost" + port: "5432" + user: "postgres" + pass: "123456" + name: "tenant" + role: "master" + prefix: "rag_" # (可选)表名前缀 + debug: true # (可选)开启调试模式 + dryRun: false # (可选)ORM空跑(只读不写) + charset: "utf8" # (可选)数据库编码(如: utf8mb4/utf8/gbk/gb2312)，一般设置为utf8mb4。默认为utf8。 + timezone: "Asia/Shanghai" # (可选)时区配置，例如:Local + maxIdle: 5 # (可选)连接池最大闲置的连接数(默认10) + maxOpen: 20 # (可选)连接池最大打开的连接数(默认无限制) + maxLifetime: "30s" # (可选)连接对象可重复使用的时间长度(默认30秒) + maxIdleConnTime: "30s" # (可选，v2.10新增)连接池中空闲连接的最大生存时间(默认30秒)。可以通过配置文件或SetConnMaxIdleTime方法设置，避免长时间空闲连接占用资源。 + createdAt: "created_at" # (可选)自动创建时间字段名称 + updatedAt: "updated_at" # (可选)自动更新时间字段名称 + deletedAt: "deleted_at" # (可选)软删除时间字段名称 + timeMaintainDisabled: false # (可选)是否完全关闭时间更新特性，为true时CreatedAt/UpdatedAt/DeletedAt都将失效 + +redis: + default: + address: "localhost:6379" + db: 0 + +consul: + address: localhost:8500 + +jaeger: + addr: localhost:4318 + +# eino框架配置 +eino: + # 文件切分配置 + splitter: + bufferSize: 1 + minChunkSize: 64 + percentile: 0.75 + # 向量化配置 + embedding: + provider: "dashscope" +# apiKey: "d158d896-8c54-40ee-9d61-4c5d37cd545c" +# model: "ep-20260326123502-khmdq" +# apiType: "multi_modal_api" + apiKey: "sk-4a8b82770bf74bc490eb3e4c5a8e2be9" + model: "text-embedding-v3" + +# 文件上传服务地址，与oss模块minio中的endpoint一致 +filePrefix: "http://116.204.74.41:9000" + +gmq: + redis: + primary: + addr: "localhost" + port: "6379" + db: 0 + username: "" + password: "" + poolSize: 10 + minIdleConn: 5 + maxActiveConn: 10 + maxRetries: 30 + +# Meilisearch 全文检索配置 +meilisearch: + default: + host: "http://localhost" + port: 7700 + apiKey: "admin" +# apiKey: "6b8b6062bcb5e31f150427961d9da1a9e81758aa" + +cache: + localTTL: 60 + redisTTL: 300 diff --git a/consts/document/status.go b/consts/document/status.go new file mode 100644 index 0000000..3e37ab8 --- /dev/null +++ b/consts/document/status.go @@ -0,0 +1,26 @@ +package document + +import "github.com/gogf/gf/v2/util/gconv" + +var ( + StatusDisable = newStatus(gconv.PtrInt8(0), "disable") + StatusEnable = newStatus(gconv.PtrInt8(1), "enable") +) + +type Status *int8 + +type status struct { + code Status + desc string +} + +func (s status) Code() Status { + return s.code +} +func (s status) Desc() string { + return s.desc +} + +func newStatus(code Status, desc string) status { + return status{code: code, desc: desc} +} diff --git a/consts/document/vector_status.go b/consts/document/vector_status.go new file mode 100644 index 0000000..442e452 --- /dev/null +++ b/consts/document/vector_status.go @@ -0,0 +1,28 @@ +package document + +import "github.com/gogf/gf/v2/util/gconv" + +var ( + VectorStatusPending = newVectorStatus(gconv.PtrInt8(1), "pending") + VectorStatusProcessing = newVectorStatus(gconv.PtrInt8(2), "processing") + VectorStatusCompleted = newVectorStatus(gconv.PtrInt8(3), "completed") + VectorStatusFailed = newVectorStatus(gconv.PtrInt8(4), "failed") +) + +type VectorStatus *int8 + +type vectorStatus struct { + code VectorStatus + desc string +} + +func (s vectorStatus) Code() VectorStatus { + return s.code +} +func (s vectorStatus) Desc() string { + return s.desc +} + +func newVectorStatus(code VectorStatus, desc string) vectorStatus { + return vectorStatus{code: code, desc: desc} +} diff --git a/consts/public/redis_key.go b/consts/public/redis_key.go new file mode 100644 index 0000000..b59bb8b --- /dev/null +++ b/consts/public/redis_key.go @@ -0,0 +1,20 @@ +package public + +const KnowledgeLockEsKey = "rag:knowledge:lock:knowledgeIdEs-%v" +const KnowledgeLockSqlKey = "rag:knowledge:lock:knowledgeIdSql-%v" +const KnowledgeContentHashEsKey = "rag:knowledge:knowledgeId:contentHashEs-%v" +const KnowledgeContentHashSqlKey = "rag:knowledge:knowledgeId:contentHashSql-%v" + +const ( + KnowledgeDocumentVectorStatusTopic = "knowledge:document:vector:status:stream" + KnowledgeDocumentVectorStatusConsumer = "knowledge-document-vector-status-consumer" + KnowledgeDocumentVectorStatusBatchSize = 1 + KnowledgeDocumentVectorStatusAutoAck = false +) + +const ( + KnowledgeDocumentChunkTopic = "knowledge:document:chunk:stream" // 请求 Stream 键名（与发消息的key一致） + KnowledgeDocumentChunkConsumer = "knowledge-document-chunk-consumer" // 消费者名称（唯一标识） + KnowledgeDocumentChunkBatchSize = 1 // 批处理大小（每次读取1条） + KnowledgeDocumentChunkAutoAck = false // ACK是否自动确认（true自动确认，false不确认） +) diff --git a/consts/public/table_name.go b/consts/public/table_name.go new file mode 100644 index 0000000..55e4859 --- /dev/null +++ b/consts/public/table_name.go @@ -0,0 +1,15 @@ +package public + +// sql 数据库表名 +const ( + TableNameDocument = "document" + TableNameDataset = "dataset" + TableNameKeyword = "keyword" + TableNameDatasetIndex = "dataset_index" + TableNameDocumentChunk = "document_chunk" +) + +// es 索引名称 +const ( + IndexNameDocumentChunk = "document_chunk" // 文档分块索引 +) diff --git a/controller/dataset.go b/controller/dataset.go new file mode 100644 index 0000000..c67e58f --- /dev/null +++ b/controller/dataset.go @@ -0,0 +1,48 @@ +package controller + +import ( + "context" + + "rag/model/dto" + "rag/service" + + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" +) + +type dataset struct{} + +var Dataset = new(dataset) + +// Create 创建数据集 +func (c *dataset) Create(ctx context.Context, req *dto.CreateDatasetReq) (res *dto.CreateDatasetRes, err error) { + res, err = service.Dataset.Create(ctx, req) + return +} + +// Update 更新数据集 +func (c *dataset) Update(ctx context.Context, req *dto.UpdateDatasetReq) (res *beans.ResponseEmpty, err error) { + err = service.Dataset.Update(ctx, req) + return +} + +// Delete 删除数据集 +func (c *dataset) Delete(ctx context.Context, req *dto.DeleteDatasetReq) (res *beans.ResponseEmpty, err error) { + err = service.Dataset.Delete(ctx, req) + return +} + +// List 数据集列表 +func (c *dataset) List(ctx context.Context, req *dto.ListDatasetReq) (res *dto.ListDatasetRes, err error) { + if !g.IsEmpty(req.Page) { + req.Page = &beans.Page{PageNum: 1, PageSize: 20} + } + res, err = service.Dataset.List(ctx, req) + return +} + +// Search 搜索 +//func (c *dataset) Search(ctx context.Context, req *dto.SearchReq) (res *dto.SearchRes, err error) { +// res, err = service.Dataset.Search(ctx, req) +// return +//} diff --git a/controller/dataset_index.go b/controller/dataset_index.go new file mode 100644 index 0000000..e89dc16 --- /dev/null +++ b/controller/dataset_index.go @@ -0,0 +1,5 @@ +package controller + +type datasetIndex struct{} + +var DatasetIndex = new(datasetIndex) diff --git a/controller/document.go b/controller/document.go new file mode 100644 index 0000000..0017ddc --- /dev/null +++ b/controller/document.go @@ -0,0 +1,54 @@ +package controller + +import ( + "context" + + "rag/model/dto" + "rag/service" + + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" +) + +type document struct{} + +var Document = new(document) + +// Create 创建文件 +func (c *document) Create(ctx context.Context, req *dto.CreateDocumentReq) (res *dto.CreateDocumentRes, err error) { + res, err = service.Document.Create(ctx, req) + return +} + +// Update 更新文件 +func (c *document) Update(ctx context.Context, req *dto.UpdateDocumentReq) (res *beans.ResponseEmpty, err error) { + err = service.Document.Update(ctx, req) + return +} + +// Delete 删除文件 +func (c *document) Delete(ctx context.Context, req *dto.DeleteDocumentReq) (res *beans.ResponseEmpty, err error) { + err = service.Document.Delete(ctx, req) + return +} + +// Get 获取文件详情 +func (c *document) Get(ctx context.Context, req *dto.GetDocumentReq) (res *dto.DocumentVO, err error) { + res, err = service.Document.Get(ctx, req) + return +} + +// List 文件列表 +func (c *document) List(ctx context.Context, req *dto.ListDocumentReq) (res *dto.ListDocumentRes, err error) { + if !g.IsEmpty(req.Page) { + req.Page = &beans.Page{PageNum: 1, PageSize: 20} + } + res, err = service.Document.List(ctx, req) + return +} + +// Process 处理文件(向量化) +func (c *document) Process(ctx context.Context, req *dto.ProcessDocumentReq) (res *dto.ProcessDocumentRes, err error) { + res, err = service.Document.Process(ctx, req) + return +} diff --git a/controller/document_chunk.go b/controller/document_chunk.go new file mode 100644 index 0000000..12869a5 --- /dev/null +++ b/controller/document_chunk.go @@ -0,0 +1,29 @@ +package controller + +import ( + "context" + "rag/model/dto" + "rag/service" + + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" +) + +type documentChunk struct{} + +var DocumentChunk = new(documentChunk) + +// Update 更新文件片段 +func (c *documentChunk) Update(ctx context.Context, req *dto.UpdateDocumentChunkReq) (res *beans.ResponseEmpty, err error) { + err = service.DocumentChunk.Update(ctx, req) + return +} + +// List 文件片段列表 +func (c *documentChunk) List(ctx context.Context, req *dto.ListDocumentChunkReq) (res *dto.ListDocumentChunkRes, err error) { + if !g.IsEmpty(req.Page) { + req.Page = &beans.Page{PageNum: 1, PageSize: 20} + } + res, err = service.DocumentChunk.List(ctx, req) + return +} diff --git a/controller/keyword.go b/controller/keyword.go new file mode 100644 index 0000000..fcbd34f --- /dev/null +++ b/controller/keyword.go @@ -0,0 +1,43 @@ +package controller + +import ( + "context" + + "rag/model/dto" + "rag/service" + + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" +) + +type keyword struct{} + +var Keyword = new(keyword) + +func (c *keyword) Create(ctx context.Context, req *dto.CreateKeywordReq) (res *dto.CreateKeywordRes, err error) { + res, err = service.Keyword.Create(ctx, req) + return +} + +func (c *keyword) Update(ctx context.Context, req *dto.UpdateKeywordReq) (res *beans.ResponseEmpty, err error) { + err = service.Keyword.Update(ctx, req) + return +} + +func (c *keyword) Delete(ctx context.Context, req *dto.DeleteKeywordReq) (res *beans.ResponseEmpty, err error) { + err = service.Keyword.Delete(ctx, req) + return +} + +func (c *keyword) Get(ctx context.Context, req *dto.GetKeywordReq) (res *dto.KeywordVO, err error) { + res, err = service.Keyword.Get(ctx, req) + return +} + +func (c *keyword) List(ctx context.Context, req *dto.ListKeywordReq) (res *dto.ListKeywordRes, err error) { + if !g.IsEmpty(req.Page) { + req.Page = &beans.Page{PageNum: 1, PageSize: 20} + } + res, err = service.Keyword.List(ctx, req) + return +} diff --git a/dao/dataset.go b/dao/dataset.go new file mode 100644 index 0000000..35c0f68 --- /dev/null +++ b/dao/dataset.go @@ -0,0 +1,88 @@ +package dao + +import ( + "context" + "rag/consts/public" + "rag/model/dto" + "rag/model/entity" + + "gitea.com/red-future/common/db/gfdb" + "github.com/gogf/gf/v2/database/gdb" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/util/gconv" +) + +var Dataset = new(datasetDao) + +type datasetDao struct{} + +// Insert 插入数据集 +func (d *datasetDao) Insert(ctx context.Context, req *dto.CreateDatasetReq) (id int64, err error) { + var res *entity.Dataset + if err = gconv.Struct(req, &res); err != nil { + return + } + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDataset).Data(&res).Insert() + if err != nil { + return + } + return r.LastInsertId() +} + +// Update 更新数据集 +func (d *datasetDao) Update(ctx context.Context, req *dto.UpdateDatasetReq) (rows int64, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameDataset).OmitEmpty() + if !g.IsEmpty(req.DocumentCount) { + model.Data(entity.DatasetCol.DocumentCount, &gdb.Counter{ + Field: entity.DatasetCol.DocumentCount, + Value: gconv.Float64(req.DocumentCount), + }) + } + if !g.IsEmpty(req.DocumentSize) { + model.Data(entity.DatasetCol.DocumentSize, &gdb.Counter{ + Field: entity.DatasetCol.DocumentSize, + Value: gconv.Float64(req.DocumentSize), + }) + } + r, err := model.Data(&req).Where(entity.DatasetCol.Id, req.Id).Update() + if err != nil { + return + } + return r.RowsAffected() +} + +// Delete 删除数据集 +func (d *datasetDao) Delete(ctx context.Context, req *dto.DeleteDatasetReq) (rows int64, err error) { + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDataset).Where(entity.DatasetCol.Id, req.Id).Delete() + if err != nil { + return + } + return r.RowsAffected() +} + +func (d *datasetDao) GetByID(ctx context.Context, req *dto.GetDatasetReq, fields ...string) (res *entity.Dataset, err error) { + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDataset).Where(entity.DatasetCol.Id, req.Id).Fields(fields).One() + if err != nil { + return + } + err = r.Struct(&res) + return +} + +// List 获取数据集列表 +func (d *datasetDao) List(ctx context.Context, req *dto.ListDatasetReq, fields ...string) (res []*entity.Dataset, total int, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameDataset).Fields(fields).OmitEmpty() + if !g.IsEmpty(req.Keyword) { + model.WhereLike(entity.DatasetCol.Name, "%"+req.Keyword+"%") + } + model.OrderDesc(entity.DatasetCol.CreatedAt) + if req.Page != nil { + model.Page(int(req.Page.PageNum), int(req.Page.PageSize)) + } + r, total, err := model.AllAndCount(false) + if err != nil { + return + } + err = r.Structs(&res) + return +} diff --git a/dao/dataset_index.go b/dao/dataset_index.go new file mode 100644 index 0000000..0df04b7 --- /dev/null +++ b/dao/dataset_index.go @@ -0,0 +1,59 @@ +package dao + +import ( + "context" + "database/sql" + "fmt" + "rag/consts/public" + "rag/model/entity" + + "gitea.com/red-future/common/db/gfdb" +) + +var DatasetIndex = new(datasetIndexDao) + +type datasetIndexDao struct{} + +// Insert 插入数据集索引 +func (d *datasetIndexDao) Insert(ctx context.Context, index *entity.DatasetIndex) (id int64, err error) { + _, err = gfdb.DB(ctx).Model(ctx, public.TableNameDatasetIndex).Data(index).Insert() + if err != nil { + return + } + return 0, nil +} + +// GetByDatasetId 根据数据集ID获取索引 +func (d *datasetIndexDao) GetByDatasetId(ctx context.Context, datasetId int64) (result *entity.DatasetIndex, err error) { + err = gfdb.DB(ctx).Model(ctx, public.TableNameDatasetIndex).Where(entity.DatasetIndexCol.DatasetId, datasetId).Scan(&result) + if err != nil { + if err == sql.ErrNoRows { + return nil, nil + } + return + } + return result, nil +} + +// IncVectorCount 增加或减少向量数量 +func (d *datasetIndexDao) IncVectorCount(ctx context.Context, id int64, delta int64) (err error) { + _, err = gfdb.DB(ctx).Model(ctx, public.TableNameDatasetIndex). + Where(entity.DatasetIndexCol.Id, id). + Increment(entity.DatasetIndexCol.VectorCount, delta) + return +} + +func (d *datasetIndexDao) InsertIndex(ctx context.Context, indexName string) (err error) { + prefix, err := gfdb.GetTablePrefix(ctx) + if err != nil { + return + } + sqlStr := fmt.Sprintf(` + CREATE INDEX IF NOT EXISTS %s + ON %s + USING ivfflat (vector vector_cosine_ops) + WHERE vector IS NOT NULL; + `, indexName, prefix+public.TableNameDocumentChunk) + _, err = gfdb.DB(ctx).Exec(ctx, sqlStr) + return +} diff --git a/dao/document.go b/dao/document.go new file mode 100644 index 0000000..b2f2a21 --- /dev/null +++ b/dao/document.go @@ -0,0 +1,87 @@ +package dao + +import ( + "context" + "rag/consts/public" + "rag/model/dto" + "rag/model/entity" + + "gitea.com/red-future/common/db/gfdb" + "github.com/gogf/gf/v2/database/gdb" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/util/gconv" +) + +var Document = new(documentDao) + +type documentDao struct{} + +// Insert 插入文件 +func (d *documentDao) Insert(ctx context.Context, req *dto.CreateDocumentReq) (id int64, err error) { + var res *entity.Document + if err = gconv.Struct(req, &res); err != nil { + return + } + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDocument).Data(&res).Insert() + if err != nil { + return + } + return r.LastInsertId() +} + +// Update 更新文件 +func (d *documentDao) Update(ctx context.Context, req *dto.UpdateDocumentReq) (rows int64, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameDocument).OmitEmpty() + if !g.IsEmpty(req.ChunkCount) { + model.Data(entity.DocumentCol.ChunkCount, &gdb.Counter{ + Field: entity.DocumentCol.ChunkCount, + Value: gconv.Float64(req.ChunkCount), + }) + } + + r, err := model.Data(&req).Where(entity.DocumentCol.Id, req.Id).Update() + if err != nil { + return + } + return r.RowsAffected() +} + +// Delete 删除文件 +func (d *documentDao) Delete(ctx context.Context, req *dto.DeleteDocumentReq) (rows int64, err error) { + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDocument).Where(entity.DocumentCol.Id, req.Id).Delete() + if err != nil { + return + } + return r.RowsAffected() +} + +// GetByID 根据ID获取文件 +func (d *documentDao) GetByID(ctx context.Context, req *dto.GetDocumentReq, fields ...string) (res *entity.Document, err error) { + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDocument).Where(entity.DocumentCol.Id, req.Id).Fields(fields).One() + if err != nil { + return + } + err = r.Struct(&res) + return +} + +// List 获取文件列表 +func (d *documentDao) List(ctx context.Context, req *dto.ListDocumentReq, fields ...string) (res []*entity.Document, total int, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameDocument).OmitEmpty() + if !g.IsEmpty(req.Keyword) { + model.WhereLike(entity.DocumentCol.Title, "%"+req.Keyword+"%") + } + model.Where(entity.DocumentCol.DatasetId, req.DatasetId) + model.Where(entity.DocumentCol.Status, req.Status) + model.Fields(fields) + model.OrderDesc(entity.DocumentCol.CreatedAt) + if req.Page != nil { + model.Page(int(req.Page.PageNum), int(req.Page.PageSize)) + } + r, total, err := model.AllAndCount(false) + if err != nil { + return + } + err = r.Structs(&res) + return +} diff --git a/dao/document_chunk.go b/dao/document_chunk.go new file mode 100644 index 0000000..f99f7a1 --- /dev/null +++ b/dao/document_chunk.go @@ -0,0 +1,104 @@ +package dao + +import ( + "context" + "rag/consts/public" + "rag/model/dto" + "rag/model/entity" + + "gitea.com/red-future/common/db/gfdb" + "github.com/gogf/gf/v2/util/gconv" +) + +var DocumentChunk = new(documentChunkDao) + +type documentChunkDao struct{} + +// BatchInsert 批量插入文件块 +func (d *documentChunkDao) BatchInsert(ctx context.Context, req []*dto.VectorDocumentChunkMsg) (rows int64, err error) { + var res []*entity.DocumentChunk + if err = gconv.Structs(req, &res); err != nil { + return + } + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameDocumentChunk).Data(&res).Insert() + if err != nil { + return + } + return r.RowsAffected() +} + +// Update 更新文件块 +func (d *documentChunkDao) Update(ctx context.Context, req *dto.UpdateDocumentChunkReq) (rows int64, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameDocumentChunk) + r, err := model.Data(&req).Where(entity.DocumentChunkCol.Id, req.Id).Update() + if err != nil { + return + } + return r.RowsAffected() +} + +// List 文件块列表 +func (d *documentChunkDao) List(ctx context.Context, req *dto.ListDocumentChunkReq, fields ...string) (res []*entity.DocumentChunk, total int, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameDocumentChunk).Fields(fields).OmitEmpty(). + Where(entity.DocumentChunkCol.DatasetId, req.DatasetId). + Where(entity.DocumentChunkCol.DocumentId, req.DocumentId). + Where(entity.DocumentChunkCol.Status, req.Status). + Where(entity.DocumentChunkCol.VectorStatus, req.VectorStatus). + OrderDesc(entity.DocumentChunkCol.CreatedAt) + if req.Page != nil { + model.Page(int(req.Page.PageNum), int(req.Page.PageSize)) + } + r, total, err := model.AllAndCount(false) + if err != nil { + return + } + err = r.Structs(&res) + return +} + +//// Insert 插入向量文档 +//func (d *vectorDocumentDao) Insert(ctx context.Context, docs []*entity.DocumentChunk) (ids []interface{}, err error) { +// if len(docs) == 0 { +// return +// } +// interfaces := make([]interface{}, len(docs)) +// for i := range docs { +// interfaces[i] = docs[i] +// } +// return mongoDB.Insert(ctx, interfaces, CollectionVectorDoc) +//} +// +//// DeleteByIDs 根据ID删除向量文档 +//func (d *vectorDocumentDao) DeleteByIDs(ctx context.Context, ids []string) (err error) { +// if len(ids) == 0 { +// return +// } +// objectIDs := make([]bson.ObjectID, len(ids)) +// for i, id := range ids { +// objectIDs[i], err = bson.ObjectIDFromHex(id) +// if err != nil { +// return err +// } +// } +// filter := bson.M{"_id": bson.M{"$in": objectIDs}} +// _, err = mongoDB.Delete(ctx, filter, CollectionVectorDoc) +// return +//} +// +//// GetByIndexID 根据索引ID获取向量文档 +//func (d *vectorDocumentDao) GetByIndexID(ctx context.Context, indexID string, limit int) (result []*entity.DocumentChunk, err error) { +// filter := bson.M{"indexId": indexID} +// page := &beans.Page{PageNum: 1, PageSize: int64(limit)} +// _, err = mongoDB.Find(ctx, filter, &result, CollectionVectorDoc, page, nil) +// return +//} +// +//// GetByVectorIDs 根据向量ID获取向量文档 +//func (d *vectorDocumentDao) GetByVectorIDs(ctx context.Context, vectorIDs []string) (result []*entity.DocumentChunk, err error) { +// if len(vectorIDs) == 0 { +// return +// } +// filter := bson.M{"vectorId": bson.M{"$in": vectorIDs}} +// _, err = mongoDB.Find(ctx, filter, &result, CollectionVectorDoc, &beans.Page{PageSize: -1}, nil) +// return +//} diff --git a/dao/keyword.go b/dao/keyword.go new file mode 100644 index 0000000..f5544a3 --- /dev/null +++ b/dao/keyword.go @@ -0,0 +1,96 @@ +package dao + +import ( + "context" + "rag/consts/public" + "rag/model/dto" + "rag/model/entity" + + "gitea.com/red-future/common/db/gfdb" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/util/gconv" +) + +var Keyword = new(keywordDao) + +type keywordDao struct{} + +func (d *keywordDao) Insert(ctx context.Context, req *dto.CreateKeywordReq) (id int64, err error) { + var res *entity.Keyword + if err = gconv.Struct(req, &res); err != nil { + return + } + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameKeyword).Data(&res).Insert() + if err != nil { + return + } + return r.LastInsertId() +} + +func (d *keywordDao) BatchSaveOrUpdate(ctx context.Context, req []*dto.CreateKeywordReq) (rows int64, err error) { + var res []*entity.Keyword + if err = gconv.Structs(req, &res); err != nil { + return + } + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameKeyword).Data(&res).OnConflict( + entity.KeywordCol.TenantId, + entity.KeywordCol.DatasetId, + entity.KeywordCol.DocumentId, + entity.KeywordCol.Word).Save() + if err != nil { + return + } + return r.RowsAffected() +} + +func (d *keywordDao) Update(ctx context.Context, req *dto.UpdateKeywordReq) (rows int64, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameKeyword) + r, err := model.Data(&req).Where(entity.KeywordCol.Id, req.Id).Update() + if err != nil { + return + } + return r.RowsAffected() +} + +func (d *keywordDao) Delete(ctx context.Context, req *dto.DeleteKeywordReq) (rows int64, err error) { + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameKeyword).Where(entity.KeywordCol.Id, req.Id).Delete() + if err != nil { + return + } + return r.RowsAffected() +} + +func (d *keywordDao) Count(ctx context.Context, req *dto.ListKeywordReq) (count int, err error) { + count, err = gfdb.DB(ctx).Model(ctx, public.TableNameKeyword).OmitEmpty(). + Where(entity.KeywordCol.DatasetId, req.DatasetId). + Where(entity.KeywordCol.DocumentId, req.DocumentId). + Where(entity.KeywordCol.Word, req.Word).Count() + return +} + +func (d *keywordDao) GetByID(ctx context.Context, req *dto.GetKeywordReq, fields ...string) (res *entity.Document, err error) { + r, err := gfdb.DB(ctx).Model(ctx, public.TableNameKeyword).Where(entity.KeywordCol.Id, req.Id).Fields(fields).One() + if err != nil { + return + } + err = r.Struct(&res) + return +} + +func (d *keywordDao) List(ctx context.Context, req *dto.ListKeywordReq, fields ...string) (res []*entity.Keyword, total int, err error) { + model := gfdb.DB(ctx).Model(ctx, public.TableNameKeyword).Fields(fields).OmitEmpty() + if !g.IsEmpty(req.Keyword) { + model.WhereLike(entity.KeywordCol.Word, "%"+req.Keyword+"%") + } + model.OrderDesc(entity.KeywordCol.Weight) + model.OrderDesc(entity.KeywordCol.CreatedAt) + if req.Page != nil { + model.Page(int(req.Page.PageNum), int(req.Page.PageSize)) + } + r, total, err := model.AllAndCount(false) + if err != nil { + return + } + err = r.Structs(&res) + return +} diff --git a/go.mod b/go.mod new file mode 100644 index 0000000..960be24 --- /dev/null +++ b/go.mod @@ -0,0 +1,167 @@ +module rag + +go 1.26.0 + +require ( + gitea.com/red-future/common v0.0.6 + github.com/bjang03/gmq v0.0.0-00010101000000-000000000000 + github.com/cloudwego/eino v0.8.6 + github.com/gogf/gf/contrib/drivers/pgsql/v2 v2.10.0 + github.com/gogf/gf/v2 v2.10.0 + github.com/pgvector/pgvector-go v0.3.0 +) + +replace gitea.com/red-future/common v0.0.6 => ../common + +replace github.com/bjang03/gmq => ../gmq + +require ( + github.com/BurntSushi/toml v1.6.0 // indirect + github.com/PuerkitoBio/goquery v1.8.1 // indirect + github.com/andybalholm/brotli v1.1.1 // indirect + github.com/andybalholm/cascadia v1.3.1 // indirect + github.com/armon/go-metrics v0.4.1 // indirect + github.com/aymerick/douceur v0.2.0 // indirect + github.com/bahlo/generic-list-go v0.2.0 // indirect + github.com/buger/jsonparser v1.1.1 // indirect + github.com/bwmarrin/snowflake v0.3.0 // indirect + github.com/bytedance/gopkg v0.1.3 // indirect + github.com/bytedance/sonic v1.15.0 // indirect + github.com/bytedance/sonic/loader v0.5.0 // indirect + github.com/cenkalti/backoff/v4 v4.1.2 // indirect + github.com/cenkalti/backoff/v5 v5.0.3 // indirect + github.com/cespare/xxhash/v2 v2.3.0 // indirect + github.com/clbanning/mxj/v2 v2.7.0 // indirect + github.com/clipperhouse/displaywidth v0.11.0 // indirect + github.com/clipperhouse/uax29/v2 v2.7.0 // indirect + github.com/cloudwego/base64x v0.1.6 // indirect + github.com/cloudwego/eino-ext/components/document/loader/url v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/document/parser/docx v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/document/parser/html v0.0.0-20241224063832-9fbcc0e56c28 // indirect + github.com/cloudwego/eino-ext/components/document/parser/pdf v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/document/parser/xlsx v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/document/transformer/splitter/recursive v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/document/transformer/splitter/semantic v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/embedding/ark v0.1.1 // indirect + github.com/cloudwego/eino-ext/components/embedding/dashscope v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/embedding/openai v0.0.0-20260323112355-f061db7e8419 // indirect + github.com/cloudwego/eino-ext/components/indexer/es8 v0.0.0-20260331071634-4f359694d2d9 // indirect + github.com/cloudwego/eino-ext/components/retriever/es8 v0.0.0-20260331071634-4f359694d2d9 // indirect + github.com/cloudwego/eino-ext/libs/acl/openai v0.1.14 // indirect + github.com/dgraph-io/badger/v4 v4.2.0 // indirect + github.com/dgraph-io/ristretto v0.1.1 // indirect + github.com/dgryski/go-rendezvous v0.0.0-20200823014737-9f7001d12a5f // indirect + github.com/dslipak/pdf v0.0.2 // indirect + github.com/dustin/go-humanize v1.0.1 // indirect + github.com/eino-contrib/docx2md v0.0.1 // indirect + github.com/eino-contrib/jsonschema v1.0.3 // indirect + github.com/elastic/elastic-transport-go/v8 v8.10.0 // indirect + github.com/elastic/go-elasticsearch/v8 v8.16.0 // indirect + github.com/emirpasic/gods/v2 v2.0.0-alpha // indirect + github.com/evanphx/json-patch v0.5.2 // indirect + github.com/fatih/color v1.19.0 // indirect + github.com/fsnotify/fsnotify v1.9.0 // indirect + github.com/gabriel-vasile/mimetype v1.4.13 // indirect + github.com/go-ego/gse v1.0.2 // indirect + github.com/go-logr/logr v1.4.3 // indirect + github.com/go-logr/stdr v1.2.2 // indirect + github.com/go-playground/locales v0.14.1 // indirect + github.com/go-playground/universal-translator v0.18.1 // indirect + github.com/go-playground/validator/v10 v10.30.1 // indirect + github.com/goccy/go-json v0.10.6 // indirect + github.com/gogf/gf/contrib/nosql/redis/v2 v2.9.1 // indirect + github.com/gogf/gf/contrib/registry/consul/v2 v2.9.5 // indirect + github.com/gogf/gf/contrib/trace/otlphttp/v2 v2.9.5 // indirect + github.com/gogo/protobuf v1.3.2 // indirect + github.com/golang-jwt/jwt/v5 v5.3.1 // indirect + github.com/golang/glog v1.2.5 // indirect + github.com/golang/groupcache v0.0.0-20210331224755-41bb18bfe9da // indirect + github.com/golang/protobuf v1.5.4 // indirect + github.com/golang/snappy v1.0.0 // indirect + github.com/google/flatbuffers v1.12.1 // indirect + github.com/google/uuid v1.6.0 // indirect + github.com/goph/emperror v0.17.2 // indirect + github.com/gorilla/css v1.0.1 // indirect + github.com/gorilla/websocket v1.5.3 // indirect + github.com/grokify/html-strip-tags-go v0.1.0 // indirect + github.com/grpc-ecosystem/grpc-gateway/v2 v2.27.2 // indirect + github.com/hashicorp/consul/api v1.26.1 // indirect + github.com/hashicorp/errwrap v1.1.0 // indirect + github.com/hashicorp/go-cleanhttp v0.5.2 // indirect + github.com/hashicorp/go-hclog v1.5.0 // indirect + github.com/hashicorp/go-immutable-radix v1.3.1 // indirect + github.com/hashicorp/go-multierror v1.1.1 // indirect + github.com/hashicorp/go-rootcerts v1.0.2 // indirect + github.com/hashicorp/golang-lru v1.0.2 // indirect + github.com/hashicorp/serf v0.10.1 // indirect + github.com/jmespath/go-jmespath v0.4.0 // indirect + github.com/json-iterator/go v1.1.12 // indirect + github.com/klauspost/compress v1.18.4 // indirect + github.com/klauspost/cpuid/v2 v2.3.0 // indirect + github.com/leodido/go-urn v1.4.0 // indirect + github.com/lib/pq v1.12.1 // indirect + github.com/magiconair/properties v1.8.10 // indirect + github.com/mailru/easyjson v0.9.0 // indirect + github.com/mattn/go-colorable v0.1.14 // indirect + github.com/mattn/go-isatty v0.0.20 // indirect + github.com/mattn/go-runewidth v0.0.21 // indirect + github.com/meguminnnnnnnnn/go-openai v0.1.1 // indirect + github.com/meilisearch/meilisearch-go v0.36.1 // indirect + github.com/microcosm-cc/bluemonday v1.0.27 // indirect + github.com/mitchellh/go-homedir v1.1.0 // indirect + github.com/mitchellh/mapstructure v1.5.0 // indirect + github.com/modern-go/concurrent v0.0.0-20180306012644-bacd9c7ef1dd // indirect + github.com/modern-go/reflect2 v1.0.2 // indirect + github.com/mohae/deepcopy v0.0.0-20170929034955-c48cc78d4826 // indirect + github.com/nats-io/nats.go v1.49.0 // indirect + github.com/nats-io/nkeys v0.4.15 // indirect + github.com/nats-io/nuid v1.0.1 // indirect + github.com/nikolalohinski/gonja v1.5.3 // indirect + github.com/olekukonko/cat v0.0.0-20250911104152-50322a0618f6 // indirect + github.com/olekukonko/errors v1.2.0 // indirect + github.com/olekukonko/ll v0.1.8 // indirect + github.com/olekukonko/tablewriter v1.1.4 // indirect + github.com/pelletier/go-toml/v2 v2.2.3 // indirect + github.com/pkg/errors v0.9.1 // indirect + github.com/rabbitmq/amqp091-go v1.10.0 // indirect + github.com/redis/go-redis/v9 v9.18.0 // indirect + github.com/richardlehane/mscfb v1.0.4 // indirect + github.com/richardlehane/msoleps v1.0.4 // indirect + github.com/sirupsen/logrus v1.9.3 // indirect + github.com/slongfield/pyfmt v0.0.0-20220222012616-ea85ff4c361f // indirect + github.com/spf13/cast v1.10.0 // indirect + github.com/tiger1103/gfast-token v1.0.10 // indirect + github.com/twitchyliquid64/golang-asm v0.15.1 // indirect + github.com/vcaesar/cedar v0.30.0 // indirect + github.com/volcengine/volc-sdk-golang v1.0.199 // indirect + github.com/volcengine/volcengine-go-sdk v1.0.181 // indirect + github.com/wk8/go-ordered-map/v2 v2.1.8 // indirect + github.com/xuri/efp v0.0.0-20240408161823-9ad904a10d6d // indirect + github.com/xuri/excelize/v2 v2.9.0 // indirect + github.com/xuri/nfp v0.0.0-20240318013403-ab9948c2c4a7 // indirect + github.com/yargevad/filepathx v1.0.0 // indirect + go.mongodb.org/mongo-driver/v2 v2.4.0 // indirect + go.opencensus.io v0.23.0 // indirect + go.opentelemetry.io/auto/sdk v1.2.1 // indirect + go.opentelemetry.io/otel v1.42.0 // indirect + go.opentelemetry.io/otel/exporters/otlp/otlptrace v1.38.0 // indirect + go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracehttp v1.38.0 // indirect + go.opentelemetry.io/otel/metric v1.42.0 // indirect + go.opentelemetry.io/otel/sdk v1.42.0 // indirect + go.opentelemetry.io/otel/trace v1.42.0 // indirect + go.opentelemetry.io/proto/otlp v1.7.1 // indirect + go.uber.org/atomic v1.11.0 // indirect + golang.org/x/arch v0.15.0 // indirect + golang.org/x/crypto v0.49.0 // indirect + golang.org/x/exp v0.0.0-20260312153236-7ab1446f8b90 // indirect + golang.org/x/net v0.52.0 // indirect + golang.org/x/sync v0.20.0 // indirect + golang.org/x/sys v0.42.0 // indirect + golang.org/x/text v0.35.0 // indirect + google.golang.org/genproto/googleapis/api v0.0.0-20250825161204-c5933d9347a5 // indirect + google.golang.org/genproto/googleapis/rpc v0.0.0-20250825161204-c5933d9347a5 // indirect + google.golang.org/grpc v1.75.0 // indirect + google.golang.org/protobuf v1.36.11 // indirect + gopkg.in/yaml.v2 v2.4.0 // indirect + gopkg.in/yaml.v3 v3.0.1 // indirect +) diff --git a/go.sum b/go.sum new file mode 100644 index 0000000..e7369ed --- /dev/null +++ b/go.sum @@ -0,0 +1,1239 @@ +cloud.google.com/go v0.26.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.34.0/go.mod h1:aQUYkXzVsufM+DwF1aE+0xfcU+56JwCaLick0ClmMTw= +cloud.google.com/go v0.38.0/go.mod h1:990N+gfupTy94rShfmMCWGDn0LpTmnzTp2qbd1dvSRU= +cloud.google.com/go v0.44.1/go.mod h1:iSa0KzasP4Uvy3f1mN/7PiObzGgflwredwwASm/v6AU= +cloud.google.com/go v0.44.2/go.mod h1:60680Gw3Yr4ikxnPRS/oxxkBccT6SA1yMk63TGekxKY= +cloud.google.com/go v0.45.1/go.mod h1:RpBamKRgapWJb87xiFSdk4g1CME7QZg3uwTez+TSTjc= +cloud.google.com/go v0.46.3/go.mod h1:a6bKKbmY7er1mI7TEI4lsAkts/mkhTSZK8w33B4RAg0= +cloud.google.com/go v0.50.0/go.mod h1:r9sluTvynVuxRIOHXQEHMFffphuXHOMZMycpNR5e6To= +cloud.google.com/go 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+rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4= +rsc.io/quote/v3 v3.1.0/go.mod h1:yEA65RcK8LyAZtP9Kv3t0HmxON59tX3rD+tICJqUlj0= +rsc.io/sampler v1.3.0/go.mod h1:T1hPZKmBbMNahiBKFy5HrXp6adAjACjK9JXDnKaTXpA= +sigs.k8s.io/yaml v1.2.0/go.mod h1:yfXDCHCao9+ENCvLSE62v9VSji2MKu5jeNfTrofGhJc= diff --git a/main.go b/main.go new file mode 100644 index 0000000..b706aec --- /dev/null +++ b/main.go @@ -0,0 +1,64 @@ +package main + +import ( + "context" + "os" + "os/signal" + "rag/consts/public" + "rag/controller" + "rag/service" + "syscall" + + "gitea.com/red-future/common/http" + "gitea.com/red-future/common/jaeger" + gmq "github.com/bjang03/gmq/core/gmq" + "github.com/bjang03/gmq/mq" + "github.com/bjang03/gmq/types" + _ "github.com/gogf/gf/contrib/drivers/pgsql/v2" + "github.com/gogf/gf/v2/frame/g" +) + +func main() { + ctx := context.Background() + defer jaeger.ShutDown(ctx) + + // 注册路由 + http.RouteRegister([]interface{}{ + controller.Dataset, + controller.Document, + controller.DocumentChunk, + }) + + gmq.Init("config.yml") + + if err := gmq.GetGmq("primary").GmqSubscribe(ctx, &mq.RedisSubMessage{ + SubMessage: types.SubMessage{ + Topic: public.KnowledgeDocumentVectorStatusTopic, + ConsumerName: public.KnowledgeDocumentVectorStatusConsumer, + AutoAck: public.KnowledgeDocumentVectorStatusAutoAck, + FetchCount: public.KnowledgeDocumentVectorStatusBatchSize, + HandleFunc: service.Document.DocsVectorStatusMsg, + }, + }); err != nil { + return + } + + if err := gmq.GetGmq("primary").GmqSubscribe(ctx, &mq.RedisSubMessage{ + SubMessage: types.SubMessage{ + Topic: public.KnowledgeDocumentChunkTopic, + ConsumerName: public.KnowledgeDocumentChunkConsumer, + AutoAck: public.KnowledgeDocumentChunkAutoAck, + FetchCount: public.KnowledgeDocumentChunkBatchSize, + HandleFunc: service.DocumentChunk.DocsChunkMsg, + }, + }); err != nil { + return + } + + // 等待退出信号 + quit := make(chan os.Signal, 1) + signal.Notify(quit, syscall.SIGINT, syscall.SIGTERM) + <-quit + + g.Log().Info(ctx, "服务正在关闭...") +} diff --git a/model/dto/dataset.go b/model/dto/dataset.go new file mode 100644 index 0000000..804044d --- /dev/null +++ b/model/dto/dataset.go @@ -0,0 +1,69 @@ +package dto + +import ( + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/os/gtime" +) + +// CreateDatasetReq 创建数据集请求 +type CreateDatasetReq struct { + g.Meta `path:"/createDataset" method:"post" tags:"知识库（数据集）管理" summary:"创建知识库（数据集）" dc:"创建知识库（数据集）"` + + Name string `json:"name" v:"required#名称不能为空"` + Description string `json:"description"` +} + +// CreateDatasetRes 创建数据集响应 +type CreateDatasetRes struct { + Id int64 `json:"id,string"` +} + +// UpdateDatasetReq 更新数据集请求 +type UpdateDatasetReq struct { + g.Meta `path:"/updateDataset" method:"put" tags:"知识库（数据集）管理" summary:"更新知识库（数据集）" dc:"更新知识库（数据集）"` + + Id int64 `json:"id" v:"required#ID不能为空"` + Name string `json:"name"` + Description string `json:"description"` + DocumentCount int64 `json:"documentCount"` + DocumentSize int64 `json:"documentSize"` +} + +// DeleteDatasetReq 删除数据集请求 +type DeleteDatasetReq struct { + g.Meta `path:"/deleteDataset" method:"delete" tags:"知识库（数据集）管理" summary:"删除知识库（数据集）" dc:"删除知识库（数据集）"` + + Id int64 `json:"id" v:"required#ID不能为空"` +} + +// GetDatasetReq 获取数据集请求 +type GetDatasetReq struct { + g.Meta `path:"/getDataset" method:"get" tags:"知识库（数据集）管理" summary:"获取知识库（数据集）详情" dc:"获取知识库（数据集）详情"` + + Id int64 `json:"id" v:"required#ID不能为空"` +} + +// ListDatasetReq 数据集列表请求 +type ListDatasetReq struct { + g.Meta `path:"/listDataset" method:"get" tags:"知识库（数据集）管理" summary:"获取知识库（数据集）列表" dc:"分页查询知识库（数据集）列表，支持多条件筛选"` + + Page *beans.Page `json:"page"` + Keyword string `json:"keyword" dc:"关键词搜索"` +} + +// ListDatasetRes 数据集列表响应 +type ListDatasetRes struct { + List []*DatasetVO `json:"list"` + Total int `json:"total"` +} + +type DatasetVO struct { + Id int64 `json:"id,string" dc:"id"` + Name string `json:"name" dc:"数据集名称"` + Description string `json:"description" dc:"数据集描述"` + DocumentCount int64 `json:"documentCount" dc:"文件数量"` + DocumentSize int64 `json:"documentSize" dc:"文件大小(字节)"` + CreatedAt *gtime.Time `json:"createdAt" dc:"创建时间"` + UpdatedAt *gtime.Time `json:"updatedAt" dc:"更新时间"` +} diff --git a/model/dto/dataset_index.go b/model/dto/dataset_index.go new file mode 100644 index 0000000..76d3a17 --- /dev/null +++ b/model/dto/dataset_index.go @@ -0,0 +1 @@ +package dto diff --git a/model/dto/document.go b/model/dto/document.go new file mode 100644 index 0000000..1c84dab --- /dev/null +++ b/model/dto/document.go @@ -0,0 +1,108 @@ +package dto + +import ( + "rag/consts/document" + + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/os/gtime" +) + +// CreateDocumentReq 创建文件请求 +type CreateDocumentReq struct { + g.Meta `path:"/createDocument" method:"post" tags:"文件管理" summary:"创建文件" dc:"创建文件"` + + DatasetId int64 `json:"datasetId" v:"required#数据集ID不能为空"` + Title string `json:"title" v:"required#标题不能为空"` + Format string `json:"format" v:"required#格式不能为空"` + FileSize int64 `json:"fileSize" v:"required#大小不能为空"` + FilePath string `json:"filePath" v:"required#路径不能为空"` +} + +// CreateDocumentRes 创建文件响应 +type CreateDocumentRes struct { + Id int64 `json:"id,string"` +} + +// UpdateDocumentReq 更新文件请求 +type UpdateDocumentReq struct { + g.Meta `path:"/updateDocument" method:"put" tags:"文件管理" summary:"更新文件" dc:"更新文件"` + + Id int64 `json:"id" v:"required#ID不能为空"` + Status document.Status `json:"status"` + VectorStatus document.VectorStatus `json:"vectorStatus"` + ChunkCount int64 `json:"chunkCount"` +} + +// DeleteDocumentReq 删除文件请求 +type DeleteDocumentReq struct { + g.Meta `path:"/deleteDocument" method:"delete" tags:"文件管理" summary:"删除文件" dc:"删除文件"` + + Id int64 `json:"id" v:"required#ID不能为空"` +} + +// GetDocumentReq 获取文件请求 +type GetDocumentReq struct { + g.Meta `path:"/getDocument" method:"get" tags:"文件管理" summary:"获取文件详情" dc:"获取文件详情"` + + Id int64 `json:"id" v:"required#ID不能为空"` +} + +// ListDocumentReq 文件列表请求 +type ListDocumentReq struct { + g.Meta `path:"/listDocument" method:"get" tags:"文件管理" summary:"获取文件列表" dc:"分页查询文件列表，支持多条件筛选"` + + Page *beans.Page `json:"page"` + DatasetId int64 `json:"datasetId"` + Keyword string `json:"keyword" dc:"关键词搜索"` + Status document.Status `json:"status"` +} + +// ListDocumentRes 文件列表响应 +type ListDocumentRes struct { + List []*DocumentVO `json:"list"` + Total int `json:"total"` +} + +type DocumentVO struct { + Id int64 `json:"id,string" dc:"id"` + DatasetId int64 `json:"datasetId,string"` + Title string `json:"title" dc:"文件标题"` + Status document.Status `json:"status" dc:"状态1启用/0停用"` + VectorStatus document.VectorStatus `json:"vectorStatus" dc:"向量化状态 状态: 1 待定, 2 处理, 3 完成, 4 失败"` + ChunkCount int64 `json:"chunkCount" dc:"分块数"` + FileSize int64 `json:"fileSize" dc:"文件大小"` + CreatedAt *gtime.Time `json:"createdAt" dc:"创建时间"` + UpdatedAt *gtime.Time `json:"updatedAt" dc:"更新时间"` +} + +// ProcessDocumentReq 处理文件请求(向量化) +type ProcessDocumentReq struct { + g.Meta `path:"/getProcess" method:"get" tags:"文件管理" summary:"文件向量化处理" dc:"文件向量化处理"` + + Id int64 `json:"id" v:"required#ID不能为空"` + DatasetId int64 `json:"datasetId" v:"required#数据集ID不能为空"` +} + +// ProcessDocumentRes 处理文件响应 +type ProcessDocumentRes struct { + ChunkCount int64 `json:"chunkCount"` + CostTime int64 `json:"costTime"` +} + +type ListDocumentChunkRPC struct { + List []*DocumentChunkRPC `json:"list"` +} + +type DocumentChunkRPC struct { + Id int64 `json:"id" dc:"id"` + DatasetId int64 `json:"datasetId" dc:"所属数据集ID"` + ContentHash string `json:"contentHash" dc:"内容hash"` +} + +type KnowledgeDocumentMsg struct { + TenantId uint64 `json:"tenantId"` + Creator string `json:"creator"` + Id int64 `json:"id"` + VectorStatus document.VectorStatus `json:"vectorStatus"` +} diff --git a/model/dto/document_chunk.go b/model/dto/document_chunk.go new file mode 100644 index 0000000..6ff3f96 --- /dev/null +++ b/model/dto/document_chunk.go @@ -0,0 +1,64 @@ +package dto + +import ( + "rag/consts/document" + + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/os/gtime" + "github.com/pgvector/pgvector-go" +) + +// UpdateDocumentChunkReq 更新文件块向量请求 +type UpdateDocumentChunkReq struct { + g.Meta `path:"/updateDocumentChunk" method:"put" tags:"文件块向量管理" summary:"更新文件块" dc:"更新文件块"` + + Id int64 `json:"id" v:"required#ID不能为空"` + Status document.Status `json:"status"` +} + +// ListDocumentChunkReq 文件块向量列表请求 +type ListDocumentChunkReq struct { + g.Meta `path:"/listDocumentChunk" method:"get" tags:"文件块向量管理" summary:"获取文件块向量列表" dc:"分页查询文件块向量列表，支持多条件筛选"` + + Page *beans.Page `json:"page"` + DatasetId int64 `json:"datasetId"` + DocumentId int64 `json:"documentId"` + Status document.Status `json:"status"` + VectorStatus document.VectorStatus `json:"vectorStatus"` +} + +// ListDocumentChunkRes 文件块向量列表响应 +type ListDocumentChunkRes struct { + List []*DocumentChunkItem `json:"list"` + Total int `json:"total"` +} + +type DocumentChunkItem struct { + Id int64 `json:"id,string" dc:"id"` + Status document.Status `json:"status" dc:"状态"` + VectorStatus document.VectorStatus `json:"vectorStatus" dc:"向量状态"` + DatasetId int64 `json:"datasetId,string" dc:"所属数据集ID"` + DocumentId int64 `json:"documentId,string" dc:"所属文档ID"` + Content string `json:"content" dc:"内容"` + ContentHash string `json:"contentHash" dc:"内容hash"` + ChunkIndex int64 `json:"chunkIndex" dc:"块索引"` + Vector []float64 `json:"vector" dc:"向量"` + Metadata map[string]interface{} `json:"metadata" dc:"元信息"` + CreatedAt *gtime.Time `json:"createdAt" dc:"创建时间"` + UpdatedAt *gtime.Time `json:"updatedAt" dc:"更新时间"` +} + +type VectorDocumentChunkMsg struct { + TenantId uint64 `json:"tenantId"` + Creator string `json:"creator"` + DatasetId int64 `json:"datasetId"` // 数据集ID + DocumentId int64 `json:"documentId"` // 所属文档ID + Content string `json:"content"` // 原始内容 + ContentHash string `json:"contentHash"` // 原始内容hash + ChunkIndex int64 `json:"chunkIndex"` // 第几块 + Status document.Status `json:"status"` + VectorStatus document.VectorStatus `json:"vectorStatus"` + Vector pgvector.Vector `json:"vector"` + Metadata map[string]interface{} `json:"metadata"` +} diff --git a/model/dto/keyword.go b/model/dto/keyword.go new file mode 100644 index 0000000..950c504 --- /dev/null +++ b/model/dto/keyword.go @@ -0,0 +1,70 @@ +package dto + +import ( + "gitea.com/red-future/common/beans" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/os/gtime" +) + +// CreateKeywordReq 创建关键词请求 +type CreateKeywordReq struct { + g.Meta `path:"/createKeyword" method:"post" tags:"关键词管理" summary:"创建关键词" dc:"创建关键词"` + + DatasetId int64 `json:"datasetId" v:"required#数据集ID不能为空"` + DocumentId int64 `json:"documentId" v:"required#文档ID不能为空"` + Word string `json:"word" v:"required#名称不能为空"` + Weight int16 `json:"weight" v:"required#权重不能为空"` +} + +// CreateKeywordRes 创建关键词响应 +type CreateKeywordRes struct { + Id int64 `json:"id,string"` +} + +// UpdateKeywordReq 更新关键词请求 +type UpdateKeywordReq struct { + g.Meta `path:"/updateKeyword" method:"put" tags:"关键词管理" summary:"更新关键词" dc:"更新关键词"` + + Id int64 `json:"id" v:"required#ID不能为空"` + Word string `json:"word"` + Weight int16 `json:"weight"` +} + +// DeleteKeywordReq 删除关键词请求 +type DeleteKeywordReq struct { + g.Meta `path:"/deleteKeyword" method:"delete" tags:"关键词管理" summary:"删除关键词" dc:"删除关键词"` + + Id int64 `json:"id" v:"required#ID不能为空"` +} + +// GetKeywordReq 获取关键词请求 +type GetKeywordReq struct { + g.Meta `path:"/getKeyword" method:"get" tags:"关键词管理" summary:"获取关键词详情" dc:"获取关键词详情"` + + Id int64 `json:"id" v:"required#ID不能为空"` +} + +// ListKeywordReq 关键词列表请求 +type ListKeywordReq struct { + g.Meta `path:"/listKeyword" method:"get" tags:"关键词管理" summary:"获取关键词列表" dc:"分页查询关键词列表，支持多条件筛选"` + + Page *beans.Page `json:"page"` + DatasetId int64 `json:"datasetId"` + DocumentId int64 `json:"documentId"` + Word string `json:"word"` + Keyword string `json:"keyword" dc:"关键词搜索"` +} + +// ListKeywordRes 关键词列表响应 +type ListKeywordRes struct { + List []*KeywordVO `json:"list"` + Total int `json:"total"` +} + +type KeywordVO struct { + Id int64 `json:"id,string" dc:"id"` + Word string `json:"word" dc:"关键词名称"` + Weight int16 `json:"weight" dc:"权重"` + CreatedAt *gtime.Time `json:"createdAt" dc:"创建时间"` + UpdatedAt *gtime.Time `json:"updatedAt" dc:"更新时间"` +} diff --git a/model/entity/dataset.go b/model/entity/dataset.go new file mode 100644 index 0000000..df8dc57 --- /dev/null +++ b/model/entity/dataset.go @@ -0,0 +1,37 @@ +package entity + +import ( + "gitea.com/red-future/common/beans" +) + +type datasetCol struct { + beans.SQLBaseCol + Name string + Description string + Embedding string + Dimension string + DocumentCount string + DocumentSize string +} + +var DatasetCol = datasetCol{ + SQLBaseCol: beans.DefSQLBaseCol, + Name: "name", + Description: "description", + Embedding: "embedding", + Dimension: "dimension", + DocumentCount: "document_count", + DocumentSize: "document_size", +} + +// Dataset 数据集表 +type Dataset struct { + beans.SQLBaseDO `orm:",inline"` + + Name string `orm:"name" json:"name" dc:"数据集名称"` + Description string `orm:"description" json:"description" dc:"数据集描述"` + Embedding string `orm:"embedding" json:"embedding" dc:"向量模型"` + Dimension int `orm:"dimension" json:"dimension" dc:"向量维度"` + DocumentCount int64 `orm:"document_count" json:"documentCount" dc:"文档数量"` + DocumentSize int64 `orm:"document_size" json:"documentSize" dc:"文档大小"` +} diff --git a/model/entity/dataset_index.go b/model/entity/dataset_index.go new file mode 100644 index 0000000..0237a44 --- /dev/null +++ b/model/entity/dataset_index.go @@ -0,0 +1,46 @@ +package entity + +import "gitea.com/red-future/common/beans" + +type datasetIndexCol struct { + beans.SQLBaseCol + Status string + VectorStatus string + DatasetId string + Name string + Collection string + Dimension string + FieldType string + MetricType string + VectorCount string + Description string +} + +var DatasetIndexCol = datasetIndexCol{ + SQLBaseCol: beans.DefSQLBaseCol, + Status: "status", + VectorStatus: "vector_status", + DatasetId: "dataset_id", + Name: "name", + Collection: "collection", + Dimension: "dimension", + FieldType: "field_type", + MetricType: "metric_type", + VectorCount: "vector_count", + Description: "description", +} + +// DatasetIndex 数据集索引实体 +type DatasetIndex struct { + beans.SQLBaseDO `orm:",inline"` + + DatasetId int64 `orm:"dataset_id" json:"datasetId" dc:"数据集ID"` + Name string `orm:"name" json:"name" dc:"索引名称"` + Collection string `orm:"collection" json:"collection" dc:"向量集合名称"` + Dimension int `orm:"dimension" json:"dimension" dc:"向量维度"` + FieldType string `orm:"field_type" json:"fieldType" dc:"字段类型: float, binary"` + MetricType string `orm:"metric_type" json:"metricType" dc:"度量类型: L2, IP, COSINE"` + Status *int8 `orm:"status" json:"status" dc:"状态: creating, ready, error"` + VectorCount int64 `orm:"vector_count" json:"vectorCount" dc:"向量数量"` + Description string `orm:"description" json:"description" dc:"描述"` +} diff --git a/model/entity/document.go b/model/entity/document.go new file mode 100644 index 0000000..3df741b --- /dev/null +++ b/model/entity/document.go @@ -0,0 +1,64 @@ +package entity + +import ( + "gitea.com/red-future/common/beans" + + "rag/consts/document" +) + +type documentCol struct { + beans.SQLBaseCol + DatasetId string + Title string + Content string + Format string + Source string + SourceId string + Status string + VectorStatus string + ChunkCount string + FileSize string + FilePath string + Metadata string +} + +var DocumentCol = documentCol{ + SQLBaseCol: beans.DefSQLBaseCol, + DatasetId: "dataset_id", + Title: "title", + Content: "content", + Format: "format", + Source: "source", + SourceId: "source_id", + Status: "status", + VectorStatus: "vector_status", + ChunkCount: "chunk_count", + FileSize: "file_size", + FilePath: "file_path", + Metadata: "metadata", +} + +// Document 文件实体 +type Document struct { + beans.SQLBaseDO `orm:",inline"` + + DatasetId int64 `orm:"dataset_id" json:"datasetId" dc:"数据集ID"` + Title string `orm:"title" json:"title" dc:"文件标题"` + Content string `orm:"content" json:"content" dc:"文件内容"` + Format string `orm:"format" json:"format" dc:"文件格式"` + Source string `orm:"source" json:"source" dc:"来源"` + SourceId string `orm:"source_id" json:"sourceId" dc:"来源ID"` + Status document.Status `orm:"status" json:"status" dc:"状态"` + VectorStatus document.VectorStatus `orm:"vector_status" json:"vectorStatus" dc:"向量状态"` + ChunkCount int64 `orm:"chunk_count" json:"chunkCount" dc:"切分块数量"` + FileSize int64 `orm:"file_size" json:"fileSize" dc:"文件大小"` + FilePath string `orm:"file_path" json:"filePath" dc:"文件存储路径"` + Metadata *Metadata `orm:"metadata" json:"metadata" dc:"文件元信息"` +} + +// Metadata 文件元数据 +type Metadata struct { + Author string `orm:"author" json:"author" dc:"作者"` + Tags []string `orm:"tags" json:"tags" dc:"标签"` + Custom map[string]string `orm:"custom" json:"custom" dc:"自定义字段"` +} diff --git a/model/entity/document_chunk.go b/model/entity/document_chunk.go new file mode 100644 index 0000000..16f8e24 --- /dev/null +++ b/model/entity/document_chunk.go @@ -0,0 +1,49 @@ +package entity + +import ( + "rag/consts/document" + + "gitea.com/red-future/common/beans" + "github.com/pgvector/pgvector-go" +) + +type documentChunkCol struct { + beans.SQLBaseCol + Status string + VectorStatus string + DatasetId string + DocumentId string + Content string + ContentHash string + ChunkIndex string + Vector string + Metadata string +} + +var DocumentChunkCol = documentChunkCol{ + SQLBaseCol: beans.DefSQLBaseCol, + Status: "status", + VectorStatus: "vector_status", + DatasetId: "dataset_id", + DocumentId: "document_id", + Content: "content", + ContentHash: "content_hash", + ChunkIndex: "chunk_index", + Vector: "vector", + Metadata: "metadata", +} + +// DocumentChunk 文档切分块实体 +type DocumentChunk struct { + beans.SQLBaseDO `orm:",inline"` + + Status document.Status `orm:"status" json:"status" dc:"状态"` + VectorStatus document.VectorStatus `orm:"vector_status" json:"vectorStatus" dc:"向量状态"` + DatasetId int64 `orm:"dataset_id" json:"datasetId" dc:"数据集ID"` + DocumentId int64 `orm:"document_id" json:"documentId" dc:"文件ID"` + Content string `orm:"content" json:"content" dc:"切分块内容"` + ContentHash string `orm:"content_hash" json:"contentHash" dc:"切分块内容哈希"` + ChunkIndex int64 `orm:"chunk_index" json:"chunkIndex" dc:"切分块索引"` + Vector pgvector.Vector `orm:"vector" json:"vector" dc:"向量"` + Metadata map[string]interface{} `orm:"metadata" json:"metadata" dc:"元信息"` +} diff --git a/model/entity/keyword.go b/model/entity/keyword.go new file mode 100644 index 0000000..9c7c4f7 --- /dev/null +++ b/model/entity/keyword.go @@ -0,0 +1,27 @@ +package entity + +import "gitea.com/red-future/common/beans" + +type keywordCol struct { + beans.SQLBaseCol + DatasetId string + DocumentId string + Word string + Weight string +} + +var KeywordCol = keywordCol{ + SQLBaseCol: beans.DefSQLBaseCol, + DatasetId: "dataset_id", + DocumentId: "document_id", + Word: "word", + Weight: "weight", +} + +type Keyword struct { + beans.SQLBaseDO `orm:",inline"` + DatasetId int64 `orm:"dataset_id" json:"datasetId" dc:"数据集ID"` + DocumentId int64 `orm:"document_id" json:"documentId" dc:"文件ID"` + Word string `orm:"word" json:"word" dc:"关键词"` + Weight int16 `orm:"weight" json:"weight" dc:"权重"` +} diff --git a/service/dataset.go b/service/dataset.go new file mode 100644 index 0000000..fe7437b --- /dev/null +++ b/service/dataset.go @@ -0,0 +1,87 @@ +package service + +import ( + "context" + "rag/dao" + "rag/model/dto" + + "github.com/gogf/gf/v2/util/gconv" +) + +var Dataset = new(datasetService) + +type datasetService struct{} + +// Create 创建数据集 +func (s *datasetService) Create(ctx context.Context, req *dto.CreateDatasetReq) (res *dto.CreateDatasetRes, err error) { + id, err := dao.Dataset.Insert(ctx, req) + if err != nil { + return + } + return &dto.CreateDatasetRes{Id: id}, nil +} + +// Update 更新数据集 +func (s *datasetService) Update(ctx context.Context, req *dto.UpdateDatasetReq) (err error) { + _, err = dao.Dataset.Update(ctx, req) + return +} + +// Delete 删除数据集 +func (s *datasetService) Delete(ctx context.Context, req *dto.DeleteDatasetReq) (err error) { + _, err = dao.Dataset.Delete(ctx, req) + return +} + +// List 数据集列表 +func (s *datasetService) List(ctx context.Context, req *dto.ListDatasetReq) (res *dto.ListDatasetRes, err error) { + list, total, err := dao.Dataset.List(ctx, req) + if err != nil { + return + } + res = &dto.ListDatasetRes{ + Total: total, + } + err = gconv.Struct(list, &res.List) + return +} + +//// Search 搜索(示例,实际需要调用向量库) +//func (s *datasetService) Search(ctx context.Context, req *dto.SearchReq) (res *dto.SearchRes, err error) { +// // 1. 获取数据集信息 +// kb, err := dao.Dataset.GetByID(ctx, req) +// if err != nil { +// return nil, err +// } +// +// // 2. 获取文件块 +// chunks, err := dao.Chunk.FindChunksByKBIDWithLimit(ctx, req.KBID, 0, req.TopK) +// if err != nil { +// return nil, err +// } +// +// // 3. TODO: 使用向量检索(需要集成向量库) +// // 暂时使用简单的关键词匹配 +// results := make([]dto.SearchResult, 0) +// for _, chunk := range chunks { +// results = append(results, dto.SearchResult{ +// Content: chunk.Content, +// Score: 0.8, // TODO: 计算实际向量相似度 +// DocumentID: chunk.DocumentID, +// ChunkIndex: chunk.Index, +// }) +// } +// +// g.Log().Infof(ctx, "数据集[%s]搜索完成,查询:%s,结果数:%d", kb.Name, req.Query, len(results)) +// +// return &dto.SearchRes{Results: results}, nil +//} +// +//// formatChunks 格式化文件块为上下文 +//func (s *datasetService) formatChunks(chunks []*entity.DocumentChunk) string { +// var sb strings.Builder +// for i, chunk := range chunks { +// sb.WriteString(fmt.Sprintf("[%d] %s\n\n", i+1, chunk.Content)) +// } +// return sb.String() +//} diff --git a/service/dataset_index.go b/service/dataset_index.go new file mode 100644 index 0000000..5ebe407 --- /dev/null +++ b/service/dataset_index.go @@ -0,0 +1,5 @@ +package service + +var DatasetIndex = new(datasetIndexService) + +type datasetIndexService struct{} diff --git a/service/document.go b/service/document.go new file mode 100644 index 0000000..48d7d11 --- /dev/null +++ b/service/document.go @@ -0,0 +1,483 @@ +package service + +import ( + "context" + "fmt" + "rag/consts/document" + "rag/consts/public" + "rag/dao" + "rag/model/dto" + "rag/model/entity" + "strings" + "sync" + "time" + + "gitea.com/red-future/common/beans" + "gitea.com/red-future/common/db/gfdb" + "gitea.com/red-future/common/full-text-search/meilisearch" + "gitea.com/red-future/common/http" + "gitea.com/red-future/common/rag/eino" + "gitea.com/red-future/common/rag/gse" + "gitea.com/red-future/common/utils" + gmq "github.com/bjang03/gmq/core/gmq" + "github.com/bjang03/gmq/mq" + "github.com/bjang03/gmq/types" + "github.com/cloudwego/eino/schema" + "github.com/gogf/gf/v2/container/gvar" + "github.com/gogf/gf/v2/crypto/gmd5" + "github.com/gogf/gf/v2/database/gdb" + "github.com/gogf/gf/v2/database/gredis" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/util/gconv" +) + +var Document = new(documentService) + +type documentService struct{} + +// Create 创建文件 +func (s *documentService) Create(ctx context.Context, req *dto.CreateDocumentReq) (res *dto.CreateDocumentRes, err error) { + err = gfdb.DB(ctx).Transaction(ctx, func(ctx context.Context, tx gdb.TX) (err error) { + var id int64 + id, err = dao.Document.Insert(ctx, req) + if err != nil { + return + } + datasetReq := &dto.UpdateDatasetReq{ + Id: req.DatasetId, + DocumentCount: 1, + DocumentSize: req.FileSize, + } + _, err = dao.Dataset.Update(ctx, datasetReq) + if err != nil { + return + } + res = &dto.CreateDocumentRes{Id: id} + + return + }) + + return +} + +// Update 更新文件 +func (s *documentService) Update(ctx context.Context, req *dto.UpdateDocumentReq) (err error) { + _, err = dao.Document.Update(ctx, req) + return +} + +// Delete 删除文件 +func (s *documentService) Delete(ctx context.Context, req *dto.DeleteDocumentReq) (err error) { + docs, err := dao.Document.GetByID(ctx, &dto.GetDocumentReq{Id: req.Id}) + if err != nil { + return + } + err = gfdb.DB(ctx).Transaction(ctx, func(ctx context.Context, tx gdb.TX) (err error) { + datasetReq := &dto.UpdateDatasetReq{ + Id: docs.DatasetId, + DocumentCount: -1, + DocumentSize: -docs.FileSize, + } + _, err = dao.Dataset.Update(ctx, datasetReq) + if err != nil { + return + } + _, err = dao.Document.Delete(ctx, req) + return + }) + + return +} + +// Get 获取文件详情 +func (s *documentService) Get(ctx context.Context, req *dto.GetDocumentReq) (res *dto.DocumentVO, err error) { + r, err := dao.Document.GetByID(ctx, req) + err = gconv.Struct(r, &res) + return +} + +// List 文件列表 +func (s *documentService) List(ctx context.Context, req *dto.ListDocumentReq) (res *dto.ListDocumentRes, err error) { + list, total, err := dao.Document.List(ctx, req) + if err != nil { + return nil, err + } + res = &dto.ListDocumentRes{ + Total: total, + } + err = gconv.Struct(list, &res.List) + + //eino.TestIndexer() + //eino.TestRetriever() + + return +} + +// Process 处理文件(使用eino框架切分和向量化) +func (s *documentService) Process(ctx context.Context, req *dto.ProcessDocumentReq) (res *dto.ProcessDocumentRes, err error) { + startTime := time.Now() + + // 1. 查询文件信息 + documentReq := dto.GetDocumentReq{Id: req.Id} + doc, err := dao.Document.GetByID(ctx, &documentReq) + if err != nil { + return nil, err + } + + // 2. 使用eino框架进行文件切分（并发执行） + var vectorDocsCount, chunks int64 + // 用 gopool 或者简单的错误等待，绝对不用裸 goroutine + var err1, err2, err3 error + var wg sync.WaitGroup + wg.Add(3) + + // 任务1 + go func() { + defer wg.Done() + vectorDocsCount, chunks, err1 = s.sqlSplitDocument(ctx, doc) + }() + + // 任务2 + go func() { + defer wg.Done() + err2 = s.esSplitDocument(ctx, doc) + }() + + // 任务3 + go func() { + defer wg.Done() + err3 = s.extractDocument(ctx, doc) + }() + + // 直接等待，不使用通道，避免泄漏 + wg.Wait() + + updateDocumentReq := new(dto.UpdateDocumentReq) + updateDocumentReq.Id = req.Id + + // 统一判断错误 + if err1 != nil || err2 != nil || err3 != nil { + // 更新文档状态 + updateDocumentReq.VectorStatus = document.VectorStatusFailed.Code() + if _, err = dao.Document.Update(ctx, updateDocumentReq); err != nil { + return nil, err + } + if err1 != nil { + return nil, err1 + } + if err2 != nil { + return nil, err2 + } + return nil, err3 + } + + // 4. 更新文件状态为处理中和切分数量 + if vectorDocsCount > 0 { + updateDocumentReq.VectorStatus = document.VectorStatusProcessing.Code() + } else { + updateDocumentReq.VectorStatus = document.VectorStatusCompleted.Code() + } + updateDocumentReq.ChunkCount = chunks + if _, err = dao.Document.Update(ctx, updateDocumentReq); err != nil { + return + } + + costTime := time.Since(startTime).Milliseconds() + + return &dto.ProcessDocumentRes{ + ChunkCount: chunks, + CostTime: costTime, + }, nil +} + +func (s *documentService) extractDocument(ctx context.Context, doc *entity.Document) (err error) { + // 1. 加载文件 + docs, err := s.loadDocument(ctx, doc) + if err != nil { + return + } + + var words []gse.Keyword + if len(docs[0].Content) < 500 { + words = gse.GseTool.Extract(docs[0].Content, 4) + } else if len(docs[0].Content) < 2000 { + words = gse.GseTool.Extract(docs[0].Content, 8) + } else if len(docs[0].Content) < 5000 { + words = gse.GseTool.Extract(docs[0].Content, 13) + } else { + var docsSplit []*schema.Document + docsSplit, err = eino.RecursiveSplitDocument(ctx, docs) + if err != nil { + return + } + for _, t := range docsSplit { + words = append(words, gse.GseTool.Extract(t.Content, 6)...) + } + } + + var keywordReqs = make([]*dto.CreateKeywordReq, 0) + for _, word := range words { + keywordReqs = append(keywordReqs, &dto.CreateKeywordReq{ + DatasetId: doc.DatasetId, + DocumentId: doc.Id, + Word: word.Word, + Weight: gconv.Int16(word.Score), + }) + } + if len(keywordReqs) > 0 { + _, err = dao.Keyword.BatchSaveOrUpdate(ctx, keywordReqs) + if err != nil { + return + } + } + return +} + +func (s *documentService) sqlSplitDocument(ctx context.Context, doc *entity.Document) (vectorDocsCount, docsSplitCount int64, err error) { + // 1. 加载文件 + docs, err := s.loadDocument(ctx, doc) + if err != nil { + return + } + // 2. 语义切分文件 + docsSplit, err := eino.SemanticSplitDocument(ctx, docs) + if err != nil { + return + } + docsSplitCount = gconv.Int64(len(docsSplit)) + // 2. 获取历史数据 + err = s.getHistoryData(ctx, doc, public.KnowledgeLockSqlKey, public.KnowledgeContentHashSqlKey) + if err != nil { + return + } + // 3. 组装向量文档 + var vectorDocs = make([]dto.VectorDocumentChunkMsg, 0) + for i, t := range docsSplit { + contentHash := gmd5.MustEncryptString(t.Content) + // 检查是否重复 + var success bool + success, err = s.checkRepeat(ctx, public.KnowledgeContentHashSqlKey, contentHash) + if err != nil { + return + } + if !success { + continue + } + vectorDocs = append(vectorDocs, dto.VectorDocumentChunkMsg{ + TenantId: doc.TenantId, + Creator: doc.Creator, + DatasetId: doc.DatasetId, + DocumentId: doc.Id, + Content: t.Content, + ContentHash: contentHash, + ChunkIndex: gconv.Int64(i), + }) + + } + // 4. 发送消息到队列 + if len(vectorDocs) > 0 { + err = gmq.GetGmq("primary").GmqPublish(ctx, &mq.RedisPubMessage{ + PubMessage: types.PubMessage{ + Topic: public.KnowledgeDocumentChunkTopic, + Data: vectorDocs, + }, + }) + } + vectorDocsCount = gconv.Int64(len(vectorDocs)) + return +} + +func (s *documentService) esSplitDocument(ctx context.Context, doc *entity.Document) (err error) { + // 1. 加载文件 + docs, err := s.loadDocument(ctx, doc) + if err != nil { + return + } + // 2. 递归切分文件 + docsSplit, err := eino.RecursiveSplitDocument(ctx, docs) + if err != nil { + return + } + // 2. 获取历史数据 + err = s.getHistoryData(ctx, doc, public.KnowledgeLockEsKey, public.KnowledgeContentHashEsKey) + if err != nil { + return + } + // 3. 组装向量文档并同时构建meilisearch文档 + var meiliDocs = make([]interface{}, 0) + for i, t := range docsSplit { + contentHash := gmd5.MustEncryptString(t.Content) + // 检查是否重复 + var success bool + success, err = s.checkRepeat(ctx, public.KnowledgeContentHashEsKey, contentHash) + if err != nil { + return + } + if !success { + continue + } + // 构建Meilisearch文档 + meiliDocs = append(meiliDocs, map[string]interface{}{ + "id": contentHash, + "datasetId": doc.DatasetId, + "documentId": doc.Id, + "content": t.Content, + "contentHash": contentHash, + "chunkIndex": i, + }) + } + // 4. 写入到meilisearch数据库中 + if len(meiliDocs) > 0 { + if _, err = meilisearch.DB().InsertMany(ctx, meiliDocs, public.IndexNameDocumentChunk); err != nil { + g.Log().Errorf(ctx, "写入meilisearch失败: %v", err) + return + } + } + return +} + +// loadDocument 加载文件 +func (s *documentService) loadDocument(ctx context.Context, doc *entity.Document) (docs []*schema.Document, err error) { + return eino.LoadDocument(ctx, doc.FilePath, doc.Format) +} + +// getHistoryData 获取历史数据 +func (s *documentService) getHistoryData(ctx context.Context, doc *entity.Document, lockKey, contentKey string) (err error) { + docsLockKey := fmt.Sprintf(lockKey, doc.DatasetId) + success, err := utils.Lock(ctx, docsLockKey, int64(60), func(ctx context.Context) error { + // 1. 扫描 Redis 中所有 前缀为 rag:knowledge:xxx:contentHash 的 key + pattern := fmt.Sprintf(contentKey, "*") + keys, err := g.Redis().Keys(ctx, pattern) + if err != nil { + return err + } + + // 2. Redis 有数据：只刷新过期时间，不查库 + if len(keys) > 0 { + // 批量刷新过期时间为 60s + for _, key := range keys { + _, err = g.Redis().Expire(ctx, key, 600) + if err != nil { + return err + } + } + return nil + } + + // 3. Redis 无数据：根据 contentKey 类型选择查询方式 + var dictData = make([]*dto.DocumentChunkRPC, 0) + if public.KnowledgeContentHashSqlKey == contentKey { + // SQL 方式：调用 HTTP 接口查询 + dictData, err = s.getHistoryDataFromHttp(ctx, doc) + } else { + // ES 方式：查询 meilisearch + dictData, err = s.getHistoryDataFromMeilisearch(ctx, doc) + } + if err != nil { + return err + } + + // 4. 把查询到的数据写入 Redis（600s过期） + for _, item := range dictData { + // 去除可能的 JSON 引号 + contentHash := strings.Trim(item.ContentHash, `"`) + key := fmt.Sprintf(contentKey, contentHash) + _, err = g.Redis().Set(ctx, key, true, gredis.SetOption{ + TTLOption: gredis.TTLOption{ + EX: gconv.PtrInt64(600), + }, + NX: true, + }) + if err != nil { + return err + } + } + + return nil + }) + if err != nil && !success { + return + } + return +} + +// getHistoryDataFromHttp 通过 HTTP 接口查询历史数据 +func (s *documentService) getHistoryDataFromHttp(ctx context.Context, doc *entity.Document) (dictData []*dto.DocumentChunkRPC, err error) { + headers := make(map[string]string) + if r := g.RequestFromCtx(ctx); r != nil { + for k, v := range r.Request.Header { + if len(v) > 0 { + headers[k] = v[0] + } + } + } + + // 调用接口获取数据 + d := &dto.ListDocumentChunkRPC{} + if err = http.Get(ctx, "rag-vector/document/chunk/listDocumentChunk", headers, &d, + "datasetId", gconv.String(doc.DatasetId), + "status", 1); err != nil { + return + } + dictData = d.List + return +} + +// getHistoryDataFromMeilisearch 通过 meilisearch 查询历史数据 +func (s *documentService) getHistoryDataFromMeilisearch(ctx context.Context, doc *entity.Document) (dictData []*dto.DocumentChunkRPC, err error) { + // 构建 meilisearch 查询参数 + searchParams := &meilisearch.SearchParams{ + Filter: fmt.Sprintf("datasetId = %d", doc.DatasetId), + Limit: 10000, + } + + // 执行搜索 + var hits []map[string]interface{} + _, err = meilisearch.DB().Search(ctx, searchParams, public.IndexNameDocumentChunk, &hits) + if err != nil { + return + } + + // 转换查询结果 + dictData = make([]*dto.DocumentChunkRPC, 0) + for _, hit := range hits { + item := &dto.DocumentChunkRPC{} + if err = gconv.Struct(hit, item); err != nil { + return + } + dictData = append(dictData, item) + } + return +} + +// checkRepeat 检查是否重复 +func (s *documentService) checkRepeat(ctx context.Context, contentKey, contentHash string) (success bool, err error) { + var val *gvar.Var + if val, err = g.Redis().Set(ctx, fmt.Sprintf(contentKey, contentHash), true, gredis.SetOption{ + TTLOption: gredis.TTLOption{ + EX: gconv.PtrInt64(600), + }, + NX: true, + }); err != nil { + return + } + success = val.Bool() + return +} + +func (s *documentService) DocsVectorStatusMsg(ctx context.Context, msg any) (err error) { + var req = new(dto.KnowledgeDocumentMsg) + if err = gconv.Struct(msg, &req); err != nil { + g.Log().Error(ctx, "DocsVectorStatusMsg err:", err) + return + } + ctx = context.WithValue(ctx, "user", &beans.User{ + TenantId: req.TenantId, + UserName: req.Creator, + }) + _, err = dao.Document.Update(ctx, &dto.UpdateDocumentReq{ + Id: req.Id, + VectorStatus: req.VectorStatus, + }) + return +} diff --git a/service/document_chunk.go b/service/document_chunk.go new file mode 100644 index 0000000..4e207de --- /dev/null +++ b/service/document_chunk.go @@ -0,0 +1,176 @@ +package service + +import ( + "context" + "database/sql" + "errors" + "fmt" + "rag/consts/document" + "rag/consts/public" + "rag/dao" + "rag/model/dto" + "rag/model/entity" + + "gitea.com/red-future/common/beans" + "gitea.com/red-future/common/rag/eino" + gmq "github.com/bjang03/gmq/core/gmq" + "github.com/bjang03/gmq/mq" + "github.com/bjang03/gmq/types" + "github.com/gogf/gf/v2/frame/g" + "github.com/gogf/gf/v2/util/gconv" + "github.com/pgvector/pgvector-go" +) + +var DocumentChunk = new(documentChunkService) + +type documentChunkService struct{} + +const ( + DatasetIndexStatusReady = "ready" +) + +// Update 更新文件块 +func (s *documentChunkService) Update(ctx context.Context, req *dto.UpdateDocumentChunkReq) (err error) { + _, err = dao.DocumentChunk.Update(ctx, req) + return +} + +// List 获取文件块列表 +func (s *documentChunkService) List(ctx context.Context, req *dto.ListDocumentChunkReq) (res *dto.ListDocumentChunkRes, err error) { + list, total, err := dao.DocumentChunk.List(ctx, req) + if err != nil { + return + } + res = &dto.ListDocumentChunkRes{ + Total: total, + } + err = gconv.Struct(list, &res.List) + return +} + +func (s *documentChunkService) DocsChunkMsg(ctx context.Context, msg any) (err error) { + var req = make([]*dto.VectorDocumentChunkMsg, 0) + msgMap := gconv.Map(msg) + if err = gconv.Structs(msgMap["data"], &req); err != nil { + g.Log().Error(ctx, "DocsChunkMsg err:", err) + return + } + if len(req) == 0 { + g.Log().Error(ctx, "DocsChunkMsg err:", "msg is empty") + return + } + + ctx = context.WithValue(ctx, "user", &beans.User{ + TenantId: req[0].TenantId, + UserName: req[0].Creator, + }) + + // 调用eino接口获取向量 + var vectorDocsStr = make([]string, 0, len(req)) + for _, t := range req { + vectorDocsStr = append(vectorDocsStr, t.Content) + } + embeddings, err := eino.EmbedStrings(ctx, vectorDocsStr) + if err != nil { + g.Log().Error(ctx, "DocsChunkMsg err:", err) + err = s.publishKnowledgeDocumentMsg(ctx, req[0].TenantId, req[0].Creator, req[0].DocumentId, document.VectorStatusFailed.Code()) + return + } + + // 获取向量维度 + dimension := 0 + if len(embeddings) > 0 { + dimension = len(embeddings[0]) + } + + // 创建或更新DatasetIndex + err = s.createOrUpdateDatasetIndex(ctx, req[0].DatasetId, dimension, int64(len(req))) + if err != nil { + g.Log().Error(ctx, "CreateOrUpdateDatasetIndex err:", err) + err = s.publishKnowledgeDocumentMsg(ctx, req[0].TenantId, req[0].Creator, req[0].DocumentId, document.VectorStatusFailed.Code()) + return + } + + // 更新向量文档 + for i, embedding := range embeddings { + req[i].Vector = pgvector.NewVector(gconv.Float32s(embedding)) + req[i].VectorStatus = document.VectorStatusCompleted.Code() + req[i].Status = document.StatusEnable.Code() + } + _, err = dao.DocumentChunk.BatchInsert(ctx, req) + if err != nil { + g.Log().Error(ctx, "DocsChunkMsg err:", err) + err = s.publishKnowledgeDocumentMsg(ctx, req[0].TenantId, req[0].Creator, req[0].DocumentId, document.VectorStatusFailed.Code()) + return + } + + err = s.publishKnowledgeDocumentMsg(ctx, req[0].TenantId, req[0].Creator, req[0].DocumentId, document.VectorStatusCompleted.Code()) + + return +} + +// createOrUpdateDatasetIndex 创建或更新数据集索引 +func (s *documentChunkService) createOrUpdateDatasetIndex(ctx context.Context, datasetId int64, dimension int, vectorCount int64) (err error) { + // 查询数据集是否已有索引 + existIndex, err := dao.DatasetIndex.GetByDatasetId(ctx, datasetId) + if err != nil && !errors.Is(err, sql.ErrNoRows) { + return err + } + + // 已有索引 → 只更新数量 + if existIndex != nil { + _ = dao.DatasetIndex.IncVectorCount(ctx, existIndex.Id, vectorCount) + return nil + } + + // ====================== 创建新索引 ====================== + indexName := fmt.Sprintf("idx_dataset_%d_vector", datasetId) // 真实PG索引名 + // 1. 插入索引配置 + index := &entity.DatasetIndex{ + DatasetId: datasetId, + Name: indexName, + Dimension: dimension, + FieldType: "float", + MetricType: "COSINE", + Status: gconv.PtrInt8(1), + VectorCount: vectorCount, + Description: fmt.Sprintf("数据集%d向量索引", datasetId), + } + _, err = dao.DatasetIndex.Insert(ctx, index) + if err != nil { + return err + } + + // 2. 真正创建 PGVector 索引（唯一真实索引！） + err = s.createRealPGVectorIndex(ctx, indexName) + return err +} + +// createRealPGVectorIndex 真正在PostgreSQL创建向量索引（真实可用） +func (s *documentChunkService) createRealPGVectorIndex(ctx context.Context, indexName string) error { + // 执行真实建索引语句 + err := dao.DatasetIndex.InsertIndex(ctx, indexName) + if err != nil { + g.Log().Error(ctx, "创建向量索引失败：", err) + return err + } + g.Log().Info(ctx, "PGVector真实索引创建成功："+indexName) + return nil +} + +// publishKnowledgeDocumentMsg 发布消息 +func (s *documentChunkService) publishKnowledgeDocumentMsg(ctx context.Context, tenantId uint64, creator string, documentId int64, vectorStatus document.VectorStatus) (err error) { + knowledgeDocumentMsg := dto.KnowledgeDocumentMsg{ + TenantId: tenantId, + Creator: creator, + Id: documentId, + VectorStatus: vectorStatus, + } + err = gmq.GetGmq("primary").GmqPublish(ctx, &mq.RedisPubMessage{ + PubMessage: types.PubMessage{ + Topic: public.KnowledgeDocumentVectorStatusTopic, + Data: knowledgeDocumentMsg, + }, + }) + return +} diff --git a/service/keyword.go b/service/keyword.go new file mode 100644 index 0000000..4999d0f --- /dev/null +++ b/service/keyword.go @@ -0,0 +1,65 @@ +package service + +import ( + "context" + "rag/dao" + "rag/model/dto" + + "github.com/gogf/gf/v2/errors/gerror" + "github.com/gogf/gf/v2/util/gconv" +) + +var Keyword = new(keywordService) + +type keywordService struct{} + +func (s *keywordService) Create(ctx context.Context, req *dto.CreateKeywordReq) (res *dto.CreateKeywordRes, err error) { + count, err := dao.Keyword.Count(ctx, &dto.ListKeywordReq{ + DatasetId: req.DatasetId, + DocumentId: req.DocumentId, + Word: req.Word, + }) + if err != nil { + return + } + if count > 0 { + err = gerror.New("关键词已存在") + return + } + var id int64 + id, err = dao.Keyword.Insert(ctx, req) + if err != nil { + return + } + res = &dto.CreateKeywordRes{Id: id} + + return +} + +func (s *keywordService) Update(ctx context.Context, req *dto.UpdateKeywordReq) (err error) { + _, err = dao.Keyword.Update(ctx, req) + return +} + +func (s *keywordService) Delete(ctx context.Context, req *dto.DeleteKeywordReq) (err error) { + _, err = dao.Keyword.Delete(ctx, req) + return +} + +func (s *keywordService) Get(ctx context.Context, req *dto.GetKeywordReq) (res *dto.KeywordVO, err error) { + r, err := dao.Keyword.GetByID(ctx, req) + err = gconv.Struct(r, &res) + return +} + +func (s *keywordService) List(ctx context.Context, req *dto.ListKeywordReq) (res *dto.ListKeywordRes, err error) { + list, total, err := dao.Keyword.List(ctx, req) + if err != nil { + return nil, err + } + res = &dto.ListKeywordRes{ + Total: total, + } + err = gconv.Struct(list, &res.List) + return +} diff --git a/update.sql b/update.sql new file mode 100644 index 0000000..4da8bca --- /dev/null +++ b/update.sql @@ -0,0 +1,162 @@ +-----------张斌2025-06-16 15:00:00-------------- + +--------------------pgsql创建rag_knowledge_dataset表语句--------------------------- +-- 数据集表（RAG场景专用） +CREATE TABLE IF NOT EXISTS rag_knowledge_dataset ( + -- 基础字段（继承 SQLBaseCol 通用字段，与 SQLBaseDO 对齐） + id BIGINT PRIMARY KEY, -- 主键ID（非自增） + tenant_id BIGINT NOT NULL DEFAULT 0, -- 租户ID int8类型 + creator VARCHAR(64) NOT NULL, + created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + updater VARCHAR(64) NOT NULL, + updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + deleted_at timestamp(6), + + -- 数据集核心字段（调整为允许为空） + name VARCHAR(128) NOT NULL, -- 数据集名称（核心字段仍非空） + description TEXT DEFAULT '', -- 数据集描述（长文本，适配详细描述场景） + embedding VARCHAR(64), -- 向量模型名称（允许为空） + dimension INT, -- 向量维度（允许为空） + document_count BIGINT, -- 文件数量（int64 映射为 BIGINT，允许为空） + document_size BIGINT -- 文件大小(字节)（int64 映射为 BIGINT，允许为空） +); + +-- 索引（针对RAG数据集高频查询优化） +CREATE INDEX idx_dataset_tenant_id ON rag_knowledge_dataset(tenant_id); -- 租户ID索引 +CREATE INDEX idx_dataset_name ON rag_knowledge_dataset(name); -- 数据集名称模糊/精准查询 +CREATE INDEX idx_dataset_embedding ON rag_knowledge_dataset(embedding); -- 按向量模型筛选（允许空值，索引自动忽略NULL） +CREATE INDEX idx_dataset_deleted_at ON rag_knowledge_dataset(deleted_at); -- 软删字段索引 + +-- 唯一索引（保证数据集称唯一性，避免重复创建） +CREATE UNIQUE INDEX uk_dataset_name ON rag_knowledge_dataset(name) WHERE deleted_at IS NULL; + +-- 表和字段注释 +COMMENT ON TABLE rag_knowledge_dataset IS '数据集表（RAG场景专用）'; +COMMENT ON COLUMN rag_knowledge_dataset.id IS '主键ID（非自增）'; +COMMENT ON COLUMN rag_knowledge_dataset.tenant_id IS '租户ID'; +COMMENT ON COLUMN rag_knowledge_dataset.creator IS '创建人'; +COMMENT ON COLUMN rag_knowledge_dataset.created_at IS '创建时间'; +COMMENT ON COLUMN rag_knowledge_dataset.updater IS '更新人'; +COMMENT ON COLUMN rag_knowledge_dataset.updated_at IS '更新时间'; +COMMENT ON COLUMN rag_knowledge_dataset.deleted_at IS '删除时间（软删）'; +COMMENT ON COLUMN rag_knowledge_dataset.name IS '数据集名称'; +COMMENT ON COLUMN rag_knowledge_dataset.description IS '数据集描述'; +COMMENT ON COLUMN rag_knowledge_dataset.embedding IS '向量模型名称（如text-embedding-ada-002，允许为空）'; +COMMENT ON COLUMN rag_knowledge_dataset.dimension IS '向量维度（对应embedding模型的输出维度，允许为空）'; +COMMENT ON COLUMN rag_knowledge_dataset.document_count IS '数据集内文件数量（允许为空）'; +COMMENT ON COLUMN rag_knowledge_dataset.document_size IS '数据集内文件总大小（字节，允许为空）'; + +--------------------pgsql创建rag_knowledge_dataset表语句--------------------------- + +--------------------pgsql创建rag_knowledge_document表语句--------------------------- +-- RAG文件表（存储原始文件及切分相关信息，关联数据集） +CREATE TABLE IF NOT EXISTS rag_knowledge_document ( + -- 基础字段（继承 SQLBaseCol 通用字段） + id BIGINT PRIMARY KEY, -- 主键ID（非自增） + tenant_id BIGINT NOT NULL DEFAULT 0, -- 租户ID int8类型 + creator VARCHAR(64) NOT NULL, + created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + updater VARCHAR(64) NOT NULL, + updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + deleted_at timestamp(6), + + -- 核心关联字段 + dataset_id BIGINT NOT NULL, -- 关联数据集ID（新增，非空） + +-- 文件核心字段 + title VARCHAR(256) NOT NULL, -- 文件标题 + content TEXT, -- 文件内容（长文本，允许为空：大文件内容可仅存路径，不存原文） + format VARCHAR(16) DEFAULT '', -- 文件格式: txt, md, pdf, docx, html + source VARCHAR(64) DEFAULT '', -- 来源（如：手动上传/爬虫/API导入） + source_id VARCHAR(64) DEFAULT '', -- 来源ID（如：爬虫任务ID/上传批次ID） + status SMALLINT NOT NULL DEFAULT 1, -- 状态：1启用/0停用 + vector_status SMALLINT NOT NULL DEFAULT 1, -- 向量化状态: 1pending, 2processing, 3completed, 4failed,5partCompleted + chunk_count BIGINT, -- 切分后的块数量（int64映射为BIGINT，允许为空） + file_size BIGINT, -- 文件大小(字节)（int64映射为BIGINT，允许为空） + file_path VARCHAR(512) DEFAULT '', -- 文件存储路径（如MinIO路径） + metadata JSONB DEFAULT '{}'::JSONB -- 额外元数据（嵌套Metadata结构体，JSONB存储） +); + +-- 单独添加外键约束（避免表定义内写约束导致的语法兼容问题） +-- 注意：执行前确保 rag_knowledge_dataset 表已存在，否则注释此行 +ALTER TABLE rag_knowledge_document ADD CONSTRAINT fk_document_dataset_id FOREIGN KEY (dataset_id) REFERENCES rag_knowledge_dataset(id) ON DELETE CASCADE; + +-- 索引（针对RAG文件高频查询+数据集关联优化） +CREATE INDEX idx_document_tenant_id ON rag_knowledge_document(tenant_id); -- 租户ID索引 +CREATE INDEX idx_document_dataset_id ON rag_knowledge_document(dataset_id); -- 数据集关联查询（核心索引） +CREATE INDEX idx_document_title ON rag_knowledge_document(title); -- 标题模糊查询 +CREATE INDEX idx_document_format ON rag_knowledge_document(format); -- 按文件格式筛选 +CREATE INDEX idx_document_status ON rag_knowledge_document(status); -- 启用/停用筛选 +CREATE INDEX idx_document_vector_status ON rag_knowledge_document(vector_status); -- 向量化状态筛选（核心：监控处理中/失败文件） +CREATE INDEX idx_document_source ON rag_knowledge_document(source, source_id); -- 来源+来源ID组合查询（溯源场景） +CREATE INDEX idx_document_deleted_at ON rag_knowledge_document(deleted_at); -- 软删字段索引 + +-- 表和字段注释 +COMMENT ON TABLE rag_knowledge_document IS 'RAG文件表（存储原始文件及切分、元数据相关信息，关联数据集）'; +COMMENT ON COLUMN rag_knowledge_document.id IS '主键ID（非自增）'; +COMMENT ON COLUMN rag_knowledge_document.tenant_id IS '租户ID'; +COMMENT ON COLUMN rag_knowledge_document.creator IS '创建人'; +COMMENT ON COLUMN rag_knowledge_document.created_at IS '创建时间'; +COMMENT ON COLUMN rag_knowledge_document.updater IS '更新人'; +COMMENT ON COLUMN rag_knowledge_document.updated_at IS '更新时间'; +COMMENT ON COLUMN rag_knowledge_document.deleted_at IS '删除时间（软删）'; +COMMENT ON COLUMN rag_knowledge_document.dataset_id IS '关联数据集ID'; +COMMENT ON COLUMN rag_knowledge_document.title IS '文件标题'; +COMMENT ON COLUMN rag_knowledge_document.content IS '文件内容（大文件建议仅存路径，不存储原文）'; +COMMENT ON COLUMN rag_knowledge_document.format IS '文件格式：txt/md/pdf/docx/html等'; +COMMENT ON COLUMN rag_knowledge_document.source IS '文件来源（手动上传/爬虫/API导入等）'; +COMMENT ON COLUMN rag_knowledge_document.source_id IS '来源ID（溯源标识）'; +COMMENT ON COLUMN rag_knowledge_document.status IS '文件状态：1启用/0停用'; +COMMENT ON COLUMN rag_knowledge_document.vector_status IS '向量化状状态：1pending-待处理/2processing-处理中/3completed-完成/4failed-失败/5partCompleted'; +COMMENT ON COLUMN rag_knowledge_document.chunk_count IS '文件切分后的块数量（int64类型，未切分时为空）'; +COMMENT ON COLUMN rag_knowledge_document.file_size IS '文件大小（字节，int64类型，允许为空）'; +COMMENT ON COLUMN rag_knowledge_document.file_path IS '文件存储路径（如MinIO对象存储路径）'; +COMMENT ON COLUMN rag_knowledge_document.metadata IS '文件元数据，结构：{"author":"作者","tags":["标签1","标签2"],"custom":{"key":"值"}}'; + +--------------------pgsql创建rag_knowledge_document表语句--------------------------- +--------------------pgsql创建rag_knowledge_keyword表语句--------------------------- +-- 关键词表（文档关键词+权重） +CREATE TABLE IF NOT EXISTS rag_knowledge_keyword ( + -- 基础字段（完全对齐项目规范） + id BIGINT PRIMARY KEY, -- 主键ID（非自增） + tenant_id BIGINT NOT NULL DEFAULT 0, -- 租户ID int8 + creator VARCHAR(64) NOT NULL, + created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + updater VARCHAR(64) NOT NULL, + updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP, + deleted_at timestamp(6), + + -- 业务字段 + dataset_id BIGINT NOT NULL, -- 数据集ID + document_id BIGINT NOT NULL, -- 文件ID + word VARCHAR(255) NOT NULL, -- 关键词 + weight SMALLINT NOT NULL DEFAULT 0 -- 权重 +); + +-- 唯一索引：保证 租户 + 数据集 + 文档 + 关键词 全局唯一 +CREATE UNIQUE INDEX uk_rag_knowledge_keyword_tenant_dataset_doc_word + ON rag_knowledge_keyword(tenant_id, dataset_id, document_id, word) + WHERE deleted_at IS NULL; + +-- 索引（按业务高频查询） +CREATE INDEX idx_keyword_tenant_id ON rag_knowledge_keyword(tenant_id); +CREATE INDEX idx_keyword_dataset_id ON rag_knowledge_keyword(dataset_id); +CREATE INDEX idx_keyword_document_id ON rag_knowledge_keyword(document_id); +CREATE INDEX idx_keyword_word ON rag_knowledge_keyword(word); +CREATE INDEX idx_keyword_deleted_at ON rag_knowledge_keyword(deleted_at); + +-- 表和字段注释 +COMMENT ON TABLE rag_knowledge_keyword IS 'RAG关键词表（文档关键词+权重）'; +COMMENT ON COLUMN rag_knowledge_keyword.id IS '主键ID（非自增）'; +COMMENT ON COLUMN rag_knowledge_keyword.tenant_id IS '租户ID'; +COMMENT ON COLUMN rag_knowledge_keyword.creator IS '创建人'; +COMMENT ON COLUMN rag_knowledge_keyword.created_at IS '创建时间'; +COMMENT ON COLUMN rag_knowledge_keyword.updater IS '更新人'; +COMMENT ON COLUMN rag_knowledge_keyword.updated_at IS '更新时间'; +COMMENT ON COLUMN rag_knowledge_keyword.deleted_at IS '删除时间（软删）'; +COMMENT ON COLUMN rag_knowledge_keyword.dataset_id IS '数据集ID'; +COMMENT ON COLUMN rag_knowledge_keyword.document_id IS '文档ID'; +COMMENT ON COLUMN rag_knowledge_keyword.word IS '关键词'; +COMMENT ON COLUMN rag_knowledge_keyword.weight IS '权重'; + +--------------------pgsql创建rag_knowledge_keyword表语句--------------------------- \ No newline at end of file