diff --git a/Makefile b/Makefile index e1fe027..57e1cd9 100644 --- a/Makefile +++ b/Makefile @@ -8,7 +8,7 @@ GOCACHE=/tmp/gocache export GOPATH=/tmp/gopath BUILD_DIR=build PROJECT_ROOT := $(CURDIR) -VERSION ?= $(shell git describe --tags --dirty 2>/dev/null || echo "0.7.1") +VERSION ?= $(shell git describe --tags --dirty 2>/dev/null || echo "0.7.2") COMMIT ?= $(shell git rev-parse --short HEAD 2>/dev/null || echo "unknown") BUILD_TIME ?= $(shell date -u '+%Y-%m-%dT%H:%M:%SZ') LDFLAGS = -X gitcode.com/JianFeeeee/HomeAgent/internal/meta.Version=$(VERSION) -X gitcode.com/JianFeeeee/HomeAgent/internal/meta.Commit=$(COMMIT) -X gitcode.com/JianFeeeee/HomeAgent/internal/meta.BuildTime=$(BUILD_TIME) diff --git a/README.md b/README.md index e5be84b..6b59c9d 100644 --- a/README.md +++ b/README.md @@ -124,12 +124,12 @@ flowchart TB LLM -->|memory_recall| MEM ``` -详细说明见 [`docs/zh/ARCHITECTURE.md`](docs/zh/ARCHITECTURE.md)。 +详细说明见 [`assets/docs/zh/ARCHITECTURE.md`](assets/docs/zh/ARCHITECTURE.md)。 ## 看板娘
- HomeAgent 看板娘 小宅 + HomeAgent 看板娘 小宅

小宅 — HomeAgent 看板娘

@@ -171,15 +171,15 @@ internal/ ## 项目状态 -**v0.7.1** — 核心可用，插件系统和 SDK 已就绪。内置 11 个插件，外部插件开发见 [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) 仓库，使用 `plugindev` 工具链。输出通道系统、受限外部插件 API、EventAgentLLMChain 事件已上线。 +**v0.7.2** — 核心可用，插件系统和 SDK 已就绪。内置 11 个插件，外部插件开发见 [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) 仓库，使用 `plugindev` 工具链。输出通道系统、受限外部插件 API、EventAgentLLMChain 事件已上线。 ## 文档 -- [项目概览](docs/zh/OVERVIEW.md) | [English](docs/en/OVERVIEW.md) -- [技术架构](docs/zh/ARCHITECTURE.md) | [English](docs/en/ARCHITECTURE.md) -- [插件开发指南](docs/zh/PLUGIN_DEV.md) | [English](docs/en/PLUGIN_DEV.md) -- [Lua Adapter](docs/zh/ADAPTER.md) | [English](docs/en/ADAPTER.md) -- [知识库演示](knowledge/homeagent_architecture/content.md) +- [项目概览](assets/docs/zh/OVERVIEW.md) | [English](assets/docs/en/OVERVIEW.md) +- [技术架构](assets/docs/zh/ARCHITECTURE.md) | [English](assets/docs/en/ARCHITECTURE.md) +- [插件开发指南](assets/docs/zh/PLUGIN_DEV.md) | [English](assets/docs/en/PLUGIN_DEV.md) +- [Lua Adapter](assets/docs/zh/ADAPTER.md) | [English](assets/docs/en/ADAPTER.md) +- [知识库演示](assets/knowledge/homeagent_architecture/content.md) ## 构建 diff --git a/README_EN.md b/README_EN.md index 7f43863..896d68c 100644 --- a/README_EN.md +++ b/README_EN.md @@ -124,12 +124,12 @@ flowchart TB LLM -->|memory_recall| MEM ``` -See [`docs/en/ARCHITECTURE.md`](docs/en/ARCHITECTURE.md) for details. +See [`assets/docs/en/ARCHITECTURE.md`](assets/docs/en/ARCHITECTURE.md) for details. ## Web Mascot
- HomeAgent Web Mascot Xiaozhai + HomeAgent Web Mascot Xiaozhai

Xiaozhai — HomeAgent Web Mascot

@@ -171,15 +171,15 @@ External plugin development: see [homeagent-sdk](https://gitcode.com/JianFeeeee/ ## Project Status -**v0.7.1** — Core is functional, plugin system and SDK are ready. 11 built-in plugins. External plugin development via [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo using `plugindev` toolchain. Output channel system, restricted external plugin API, and EventAgentLLMChain event are live. +**v0.7.2** — Core is functional, plugin system and SDK are ready. 11 built-in plugins. External plugin development via [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo using `plugindev` toolchain. Output channel system, restricted external plugin API, and EventAgentLLMChain event are live. ## Documentation -- [Project Overview](docs/en/OVERVIEW.md) | [中文](docs/zh/OVERVIEW.md) -- [Technical Architecture](docs/en/ARCHITECTURE.md) | [中文](docs/zh/ARCHITECTURE.md) -- [Plugin Development Guide](docs/en/PLUGIN_DEV.md) | [中文](docs/zh/PLUGIN_DEV.md) -- [Lua Adapter](docs/en/ADAPTER.md) | [中文](docs/zh/ADAPTER.md) -- [Knowledge Base Demo](knowledge/homeagent_architecture/content.md) +- [Project Overview](assets/docs/en/OVERVIEW.md) | [中文](assets/docs/zh/OVERVIEW.md) +- [Technical Architecture](assets/docs/en/ARCHITECTURE.md) | [中文](assets/docs/zh/ARCHITECTURE.md) +- [Plugin Development Guide](assets/docs/en/PLUGIN_DEV.md) | [中文](assets/docs/zh/PLUGIN_DEV.md) +- [Lua Adapter](assets/docs/en/ADAPTER.md) | [中文](assets/docs/zh/ADAPTER.md) +- [Knowledge Base Demo](assets/knowledge/homeagent_architecture/content.md) ## Build diff --git a/branding/logo-h-he.svg b/assets/branding/logo-h-he.svg similarity index 100% rename from branding/logo-h-he.svg rename to assets/branding/logo-h-he.svg diff --git a/branding/mascot-xiaozhai-guide.md b/assets/branding/mascot-xiaozhai-guide.md similarity index 100% rename from branding/mascot-xiaozhai-guide.md rename to assets/branding/mascot-xiaozhai-guide.md diff --git a/branding/mascot-xiaozhai-prompt.md b/assets/branding/mascot-xiaozhai-prompt.md similarity index 100% rename from branding/mascot-xiaozhai-prompt.md rename to assets/branding/mascot-xiaozhai-prompt.md diff --git a/branding/mascot-xiaozhai.webp b/assets/branding/mascot-xiaozhai.webp similarity index 100% rename from branding/mascot-xiaozhai.webp rename to assets/branding/mascot-xiaozhai.webp diff --git a/docs/en/ADAPTER.md b/assets/docs/en/ADAPTER.md similarity index 84% rename from docs/en/ADAPTER.md rename to assets/docs/en/ADAPTER.md index 5f6372a..309a2f7 100644 --- a/docs/en/ADAPTER.md +++ b/assets/docs/en/ADAPTER.md @@ -4,7 +4,7 @@ Each LLM API source corresponds to a Lua script, responsible for request transformation (Go unified format → API format) and response transformation (API format → Go unified format). - : + : ## Adapter Contract @@ -45,7 +45,7 @@ end return adapter ``` - : + : ## Unified CompletionRequest Format (Go → Adapter) @@ -65,7 +65,7 @@ return adapter } ``` - : + : ## Unified CompletionResponse Format (Adapter → Go) @@ -80,7 +80,7 @@ return adapter } ``` - : + : ## Lua VM Built-in Functions @@ -94,7 +94,7 @@ return adapter `http_post(url, body)` — Perform HTTP POST request, returns response body as string - : + : ## Adapting Typical APIs @@ -109,7 +109,7 @@ return adapter | **GitHub Models** | `/chat/completions` | `Authorization: Bearer ` | OpenAI compatible | | **Ollama** | `/api/chat` | None | Different options format | - : + : ## Steps to Add a New Source diff --git a/docs/en/ARCHITECTURE.md b/assets/docs/en/ARCHITECTURE.md similarity index 100% rename from docs/en/ARCHITECTURE.md rename to assets/docs/en/ARCHITECTURE.md diff --git a/docs/en/OVERVIEW.md b/assets/docs/en/OVERVIEW.md similarity index 100% rename from docs/en/OVERVIEW.md rename to assets/docs/en/OVERVIEW.md diff --git a/docs/en/PLUGIN_DEV.md b/assets/docs/en/PLUGIN_DEV.md similarity index 96% rename from docs/en/PLUGIN_DEV.md rename to assets/docs/en/PLUGIN_DEV.md index f1e721b..cde53d2 100644 --- a/docs/en/PLUGIN_DEV.md +++ b/assets/docs/en/PLUGIN_DEV.md @@ -2,7 +2,7 @@ # HomeAgent Plugin Development Guide - : + : ## Overview @@ -35,7 +35,7 @@ type Plugin interface { --- - : + : ## 1. Quick Start: Using the plugindev Toolchain @@ -193,7 +193,7 @@ Or upload via WebUI plugin management page. --- - : + : ## 2. Go Plugin Development in Detail @@ -450,7 +450,7 @@ outputCh := s.OutputChan() --- - : + : ## 3. Lua Plugin Development in Detail @@ -522,7 +522,7 @@ When running inside the kernel, `sdk.*` global variables are injected by the Go --- - : + : ## 4. Built-in Plugins @@ -587,7 +587,7 @@ import ( --- - : + : ## 5. Best Practices @@ -601,7 +601,7 @@ import ( --- - : + : ## 6. Example Plugin Reference diff --git a/docs/zh/ADAPTER.md b/assets/docs/zh/ADAPTER.md similarity index 84% rename from docs/zh/ADAPTER.md rename to assets/docs/zh/ADAPTER.md index c81368f..4428859 100644 --- a/docs/zh/ADAPTER.md +++ b/assets/docs/zh/ADAPTER.md @@ -4,7 +4,7 @@ 每个 LLM API 源对应一个 Lua 脚本，负责请求转换（Go 统一格式 → API 格式）和响应转换（API 格式 → Go 统一格式）。 - : + : ## 适配器契约 @@ -45,7 +45,7 @@ end return adapter ``` - : + : ## 统一 CompletionRequest 格式（Go → Adapter） @@ -65,7 +65,7 @@ return adapter } ``` - : + : ## 统一 CompletionResponse 格式（Adapter → Go） @@ -80,7 +80,7 @@ return adapter } ``` - : + : ## Lua VM 内置函数 @@ -94,7 +94,7 @@ return adapter `http_post(url, body)` — 发起 HTTP POST 请求，返回响应体字符串 - : + : ## 适配典型 API @@ -109,7 +109,7 @@ return adapter | **GitHub Models** | `/chat/completions` | `Authorization: Bearer ` | OpenAI 兼容 | | **Ollama** | `/api/chat` | 无 | 不同的 options 格式 | - : + : ## 添加新源步骤 diff --git a/docs/zh/ARCHITECTURE.md b/assets/docs/zh/ARCHITECTURE.md similarity index 100% rename from docs/zh/ARCHITECTURE.md rename to assets/docs/zh/ARCHITECTURE.md diff --git a/docs/zh/OVERVIEW.md b/assets/docs/zh/OVERVIEW.md similarity index 100% rename from docs/zh/OVERVIEW.md rename to assets/docs/zh/OVERVIEW.md diff --git a/docs/zh/PLUGIN_DEV.md b/assets/docs/zh/PLUGIN_DEV.md similarity index 95% rename from docs/zh/PLUGIN_DEV.md rename to assets/docs/zh/PLUGIN_DEV.md index cc0b89a..c9884c4 100644 --- a/docs/zh/PLUGIN_DEV.md +++ b/assets/docs/zh/PLUGIN_DEV.md @@ -2,7 +2,7 @@ # HomeAgent 插件开发指南 - : + : ## 概述 @@ -36,7 +36,7 @@ type Plugin interface { --- - : + : ## 一、快速开始：使用 plugindev 工具链 @@ -193,7 +193,7 @@ curl -X POST http://127.0.0.1:9876/plugins \ --- - : + : ## 二、Go 插件开发详解 @@ -448,7 +448,7 @@ outputCh := s.OutputChan() --- - : + : ## 三、Lua 插件开发详解 @@ -520,7 +520,7 @@ lua main.lua --- - : + : ## 四、内置插件 @@ -585,7 +585,7 @@ import ( --- - : + : ## 五、最佳实践 @@ -599,7 +599,7 @@ import ( --- - : + : ## 六、示例插件参考 diff --git a/knowledge/homeagent_architecture/content.md b/assets/knowledge/homeagent_architecture/content.md similarity index 100% rename from knowledge/homeagent_architecture/content.md rename to assets/knowledge/homeagent_architecture/content.md diff --git a/cmd/homed/main.go b/cmd/homed/main.go index cef25aa..b251a81 100644 --- a/cmd/homed/main.go +++ b/cmd/homed/main.go @@ -28,6 +28,7 @@ import ( "gitcode.com/JianFeeeee/HomeAgent/internal/memory/pipeline" "gitcode.com/JianFeeeee/HomeAgent/internal/memory/social" "gitcode.com/JianFeeeee/HomeAgent/internal/memory/text" + "gitcode.com/JianFeeeee/HomeAgent/internal/nlp" "gitcode.com/JianFeeeee/HomeAgent/internal/plugin" cli "gitcode.com/JianFeeeee/HomeAgent/internal/plugins/cli" healthcheck "gitcode.com/JianFeeeee/HomeAgent/internal/plugins/healthcheck" @@ -398,6 +399,10 @@ func main() { Personality: personality, PluginReg: pluginReg, PluginDir: cfg.Plugin.Dir, + DistillInterval: cfgReg.GetDuration("core.agent.distill_interval", 30*time.Minute), + ArchiveInterval: cfgReg.GetDuration("core.agent.archive_interval", 60*time.Minute), + ReviewInterval: cfgReg.GetDuration("core.agent.review_interval", 120*time.Minute), + MergeInterval: cfgReg.GetDuration("core.agent.merge_interval", 120*time.Minute), ContextSavePath: filepath.Join(cfg.Daemon.DataDir, "memory", "context.json"), EmbeddingModelPath: cfgReg.GetString("core.agent.embedding_model_path", ""), StageHost: stageHost, @@ -426,6 +431,22 @@ func main() { // CLI 插件结构化命令 — 直接注入内核依赖，不依赖 HTTP cli.Configure(pluginReg, cfgReg, agent, cfg.Plugin.Dir) + // ======================================================================== + // 依存句法分析器（内嵌 ONNX 模型 / 规则引擎） + // ======================================================================== + + modelPath := cfgReg.GetString("core.agent.onnx_model_path", "") + onnxParser, err := nlp.NewONNXParser(nlp.ONNXConfig{ + ModelPath: modelPath, + DataDir: filepath.Join(cfg.Daemon.DataDir, "nlp"), + }) + if err != nil { + log.Printf("[homed] warn: ONNX parser init: %v, using fallback", err) + } else { + nlp.SetDefaultParser(onnxParser) + log.Printf("[homed] dep parser initialized (model: %s)", modelPath) + } + // Auto-create plugins directory (without hardcoding plugin names) os.MkdirAll(cfg.Plugin.Dir, 0755) diff --git a/package/build.sh b/deploy/packaging/build.sh old mode 100755 new mode 100644 similarity index 100% rename from package/build.sh rename to deploy/packaging/build.sh diff --git a/package/installer.nsi b/deploy/packaging/installer.nsi similarity index 100% rename from package/installer.nsi rename to deploy/packaging/installer.nsi diff --git a/package/linux/deb/control-client b/deploy/packaging/linux/deb/control-client similarity index 100% rename from package/linux/deb/control-client rename to deploy/packaging/linux/deb/control-client diff --git a/package/linux/deb/control-full b/deploy/packaging/linux/deb/control-full similarity index 100% rename from package/linux/deb/control-full rename to deploy/packaging/linux/deb/control-full diff --git a/package/linux/deb/control-server b/deploy/packaging/linux/deb/control-server similarity index 100% rename from package/linux/deb/control-server rename to deploy/packaging/linux/deb/control-server diff --git a/package/linux/deb/postinst b/deploy/packaging/linux/deb/postinst old mode 100755 new mode 100644 similarity index 100% rename from package/linux/deb/postinst rename to deploy/packaging/linux/deb/postinst diff --git a/package/linux/deb/prerm b/deploy/packaging/linux/deb/prerm old mode 100755 new mode 100644 similarity index 100% rename from package/linux/deb/prerm rename to deploy/packaging/linux/deb/prerm diff --git a/package/linux/homeagent.spec b/deploy/packaging/linux/homeagent.spec similarity index 100% rename from package/linux/homeagent.spec rename to deploy/packaging/linux/homeagent.spec diff --git a/package/linux/setup.sh b/deploy/packaging/linux/setup.sh similarity index 100% rename from package/linux/setup.sh rename to deploy/packaging/linux/setup.sh diff --git a/package/package-linux.sh b/deploy/packaging/package-linux.sh old mode 100755 new mode 100644 similarity index 96% rename from package/package-linux.sh rename to deploy/packaging/package-linux.sh index 066b497..6922f7a --- a/package/package-linux.sh +++ b/deploy/packaging/package-linux.sh @@ -1,11 +1,11 @@ #!/usr/bin/env bash set -euo pipefail -PROJECT_ROOT="$(cd "$(dirname "$0")/.." && pwd)" +PROJECT_ROOT="$(cd "$(dirname "$0")/../.." && pwd)" BUILD_DIR="${PROJECT_ROOT}/build" DIST_DIR="${PROJECT_ROOT}/dist/linux" VERSION="${VERSION:-$(git -C "$PROJECT_ROOT" describe --tags --dirty 2>/dev/null || echo "0.7.1")}" -PACKAGE_ROOT="${PROJECT_ROOT}/package/linux" +PACKAGE_ROOT="${PROJECT_ROOT}/deploy/packaging/linux" GO="${GO:-$(command -v go 2>/dev/null || echo "/home/jianf/go1.26.5/go/bin/go")}" ARCH="${1:-amd64}" # amd64 or arm64 @@ -84,10 +84,10 @@ build_go() { prepare_gomod || true hide_syso - bash "$PROJECT_ROOT/package/build.sh" "linux/$ARCH" "homed" 2>&1 || { + bash "$PROJECT_ROOT/deploy/packaging/build.sh" "linux/$ARCH" "homed" 2>&1 || { echo "WARNING: homed build failed (CGO/sqlite3 issue). Server/full packages may be incomplete." } - bash "$PROJECT_ROOT/package/build.sh" "linux/$ARCH" "waiter" 2>&1 || { + bash "$PROJECT_ROOT/deploy/packaging/build.sh" "linux/$ARCH" "waiter" 2>&1 || { echo "WARNING: waiter build failed." } @@ -240,7 +240,7 @@ SCRIPT stage_setup() { local staging="$1" - local setup_src="$PROJECT_ROOT/package/linux/setup.sh" + local setup_src="$PROJECT_ROOT/deploy/packaging/linux/setup.sh" if [ -f "$setup_src" ]; then mkdir -p "$staging/usr/lib/homeagent" cp "$setup_src" "$staging/usr/lib/homeagent/setup.sh" @@ -309,7 +309,7 @@ build_tar() { done # setup script - local setup_src="$PROJECT_ROOT/package/linux/setup.sh" + local setup_src="$PROJECT_ROOT/deploy/packaging/linux/setup.sh" [ -f "$setup_src" ] && cp "$setup_src" "$staging/usr/lib/homeagent/setup.sh" # GUI if available @@ -350,7 +350,7 @@ build_rpm() { if [ -z "$fpm_bin" ]; then echo " SKIP .rpm: fpm not installed. Install it with: gem install fpm" echo " Alternatively, build RPM on Fedora/RHEL using:" - echo " rpmbuild -ba package/linux/homeagent.spec" + echo " rpmbuild -ba deploy/packaging/linux/homeagent.spec" return fi diff --git a/tools/deploy/deploy.sh b/deploy/scripts/deploy.sh old mode 100755 new mode 100644 similarity index 95% rename from tools/deploy/deploy.sh rename to deploy/scripts/deploy.sh index 9cc189e..661b71c --- a/tools/deploy/deploy.sh +++ b/deploy/scripts/deploy.sh @@ -2,7 +2,7 @@ set -euo pipefail # HomeAgent 部署脚本 -# 用法: cd && sudo bash tools/deploy/deploy.sh +# 用法: cd && sudo bash deploy/scripts/deploy.sh PROJECT_ROOT="$(cd "$(dirname "$0")/../.." && pwd)" BIN_DIR="/usr/local/bin" diff --git a/go.mod b/go.mod index 2d3d9b6..1c8f7c9 100644 --- a/go.mod +++ b/go.mod @@ -10,6 +10,8 @@ require ( require github.com/yanyiwu/gojieba v1.4.7 +require github.com/yalue/onnxruntime_go v1.13.0 + require gitcode.com/JianFeeeee/homeagent-sdk v0.7.1 replace gitcode.com/JianFeeeee/homeagent-sdk => ../homeagentsdk diff --git a/go.work.sum b/go.work.sum deleted file mode 100644 index 65cd2cf..0000000 --- a/go.work.sum +++ /dev/null @@ -1,9 +0,0 @@ -gitcode.com/JianFeeeee/homeagent-sdk v0.0.0-20260708004841-e9bdcf9304b0/go.mod h1:mzs91WBioKDpiMLXZ7t/LXTmAh3DRu3RnDDoSztTcLg= -github.com/chzyer/logex v1.1.10 h1:Swpa1K6QvQznwJRcfTfQJmTE72DqScAa40E+fbHEXEE= -github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI= -github.com/chzyer/readline v0.0.0-20180603132655-2972be24d48e h1:fY5BOSpyZCqRo5OhCuC+XN+r/bBCmeuuJtjz+bCNIf8= -github.com/chzyer/readline v0.0.0-20180603132655-2972be24d48e/go.mod h1:nSuG5e5PlCu98SY8svDHJxuZscDgtXS6KTTbou5AhLI= -github.com/chzyer/test v0.0.0-20180213035817-a1ea475d72b1 h1:q763qf9huN11kDQavWsoZXJNW3xEE4JJyHa5Q25/sd8= -github.com/chzyer/test v0.0.0-20180213035817-a1ea475d72b1/go.mod h1:Q3SI9o4m/ZMnBNeIyt5eFwwo7qiLfzFZmjNmxjkiQlU= -golang.org/x/sys v0.0.0-20190204203706-41f3e6584952 h1:FDfvYgoVsA7TTZSbgiqjAbfPbK47CNHdWl3h/PJtii0= -golang.org/x/sys v0.0.0-20190204203706-41f3e6584952/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY= diff --git a/internal/agent/core/agent.go b/internal/agent/core/agent.go index bac3001..025db64 100644 --- a/internal/agent/core/agent.go +++ b/internal/agent/core/agent.go @@ -7,8 +7,8 @@ import ( "sync" "time" - agentAPI "gitcode.com/JianFeeeee/HomeAgent/internal/agent/api" agentPkg "gitcode.com/JianFeeeee/HomeAgent/internal/agent" + agentAPI "gitcode.com/JianFeeeee/HomeAgent/internal/agent/api" agentIO "gitcode.com/JianFeeeee/HomeAgent/internal/agent/io" "gitcode.com/JianFeeeee/HomeAgent/internal/events" "gitcode.com/JianFeeeee/HomeAgent/internal/knowledge" @@ -26,19 +26,19 @@ import ( // Agent — 单 agent，不区分会话/实例 type Agent struct { - mu sync.Mutex - id types.AgentID - provider agentAPI.Provider + mu sync.Mutex + id types.AgentID + provider agentAPI.Provider providerManager *agentAPI.ProviderManager - io *agentIO.IOManager - memory *memory.GraphDB - indexer *memory.Indexer - skills *skill.Manager - tracker *tracker.Tracker - context *RelevanceContext - systemPrompt string - ctx context.Context - cancel context.CancelFunc + io *agentIO.IOManager + memory *memory.GraphDB + indexer *memory.Indexer + skills *skill.Manager + tracker *tracker.Tracker + context *RelevanceContext + systemPrompt string + ctx context.Context + cancel context.CancelFunc // 文档记忆（第二层） docStore *document.Store @@ -62,6 +62,11 @@ type Agent struct { // 定期心跳蒸馏 distillInterval time.Duration + // 三个独立心跳任务间隔 + archiveInterval time.Duration // 冷文档归档 + reviewInterval time.Duration // 关系复审 + mergeInterval time.Duration // 实体合并检测 + // 上下文裁剪：活跃上下文最大条数，超出按相关性裁剪 maxContextSize int @@ -110,30 +115,33 @@ type Agent struct { } type AgentConfig struct { - ID types.AgentID - SystemPrompt string - Provider agentAPI.Provider + ID types.AgentID + SystemPrompt string + Provider agentAPI.Provider ProviderManager *agentAPI.ProviderManager - IO *agentIO.IOManager - Memory *memory.GraphDB - Indexer *memory.Indexer - Skills *skill.Manager - Tracker *tracker.Tracker + IO *agentIO.IOManager + Memory *memory.GraphDB + Indexer *memory.Indexer + Skills *skill.Manager + Tracker *tracker.Tracker - DocStore *document.Store - Knowledge *knowledge.Store - SocialStore *social.SocialStore - TextMemory *text.Memory - Personality *agentPkg.Personality - PluginReg *plugin.Registry - PluginDir string - DistillInterval time.Duration - MaxContextSize int // 活跃上下文最大条数，超出按相关性裁剪 - ContextSavePath string // 上下文持久化路径，空则不持久化 - EmbeddingModelPath string // 预训练词嵌入模型路径（word2vec 文本格式），空则不使用 - StageHost *StageHost - EventBus *events.Bus - ThinkingEnabled bool + DocStore *document.Store + Knowledge *knowledge.Store + SocialStore *social.SocialStore + TextMemory *text.Memory + Personality *agentPkg.Personality + PluginReg *plugin.Registry + PluginDir string + DistillInterval time.Duration + ArchiveInterval time.Duration // 冷文档归档间隔（L3→L4），0 则使用 DistillInterval + ReviewInterval time.Duration // 关系复审间隔，0 则使用 DistillInterval + MergeInterval time.Duration // 实体合并检测间隔，0 则使用 DistillInterval + MaxContextSize int // 活跃上下文最大条数，超出按相关性裁剪 + ContextSavePath string // 上下文持久化路径，空则不持久化 + EmbeddingModelPath string // 预训练词嵌入模型路径（word2vec 文本格式），空则不使用 + StageHost *StageHost + EventBus *events.Bus + ThinkingEnabled bool InputProcessing types.InputProcessingConfig // 非文本输入处理配置 } @@ -143,6 +151,15 @@ func New(cfg AgentConfig) *Agent { if cfg.DistillInterval <= 0 { cfg.DistillInterval = 30 * time.Minute } + if cfg.ArchiveInterval <= 0 { + cfg.ArchiveInterval = cfg.DistillInterval + } + if cfg.ReviewInterval <= 0 { + cfg.ReviewInterval = cfg.DistillInterval + } + if cfg.MergeInterval <= 0 { + cfg.MergeInterval = cfg.DistillInterval + } if cfg.MaxContextSize <= 0 { cfg.MaxContextSize = 30 } @@ -152,6 +169,10 @@ func New(cfg AgentConfig) *Agent { cfg.DocStore.SetVectorizer(embedder) cfg.DocStore.ReindexWithVectorizer(embedder) } + if cfg.Knowledge != nil { + cfg.Knowledge.SetVectorizer(embedder) + cfg.Knowledge.ReindexWithVectorizer(embedder) + } rc := NewRelevanceContext(cfg.ContextSavePath, embedder) if cfg.StageHost != nil { @@ -179,19 +200,21 @@ func New(cfg AgentConfig) *Agent { personality: cfg.Personality, pluginReg: cfg.PluginReg, pluginDir: cfg.PluginDir, - distillInterval: cfg.DistillInterval, - maxContextSize: cfg.MaxContextSize, - stageHost: cfg.StageHost, - eventBus: cfg.EventBus, - selfInputCh: make(chan string, 64), - childResults: make(map[string]string), - interceptCh: make(chan *agentIO.InputEvent, 64), - pluginHealth: newPluginHealthTracker(), - thinkingEnabled: cfg.ThinkingEnabled, - inputCfg: cfg.InputProcessing, - embedder: embedder, - noMergeMarkers: make(map[string]int), - + distillInterval: cfg.DistillInterval, + archiveInterval: cfg.ArchiveInterval, + reviewInterval: cfg.ReviewInterval, + mergeInterval: cfg.MergeInterval, + maxContextSize: cfg.MaxContextSize, + stageHost: cfg.StageHost, + eventBus: cfg.EventBus, + selfInputCh: make(chan string, 64), + childResults: make(map[string]string), + interceptCh: make(chan *agentIO.InputEvent, 64), + pluginHealth: newPluginHealthTracker(), + thinkingEnabled: cfg.ThinkingEnabled, + inputCfg: cfg.InputProcessing, + embedder: embedder, + noMergeMarkers: make(map[string]int), } } @@ -199,6 +222,9 @@ func (a *Agent) Start() { go a.eventLoop() go a.interceptLoop() go a.distillLoop() + go a.archiveLoop() + go a.mergeLoop() + go a.reviewLoop() log.Printf("[agent] %s started, waiting for IO interrupts", a.id) } diff --git a/internal/agent/core/distill.go b/internal/agent/core/distill.go index f8fc222..596f7a2 100644 --- a/internal/agent/core/distill.go +++ b/internal/agent/core/distill.go @@ -28,6 +28,11 @@ func (a *Agent) enqueueConsolidationTask(task ConsolidationTask) { log.Printf("[agent] enqueued consolidation task: %s", task.Reason) } +// ────────────────────────────────────────────── +// 四个独立心跳循环，各自拥有独立的 ticker 和配置 +// ────────────────────────────────────────────── + +// distillLoop 上下文裁剪（L2 蒸馏），使用 distillInterval func (a *Agent) distillLoop() { defer func() { if r := recover(); r != nil { @@ -36,7 +41,7 @@ func (a *Agent) distillLoop() { go a.distillLoop() } }() - if a.docStore == nil && a.memory == nil { + if a.docStore == nil { return } ticker := time.NewTicker(a.distillInterval) @@ -47,7 +52,6 @@ func (a *Agent) distillLoop() { case <-ticker.C: log.Printf("[agent] heartbeat distill tick") a.distillContext() - a.reorgGraph() a.autoReloadPlugins() case <-a.ctx.Done(): return @@ -55,6 +59,88 @@ func (a *Agent) distillLoop() { } } +// archiveLoop 冷文档归档（L3→L4），使用 archiveInterval +func (a *Agent) archiveLoop() { + defer func() { + if r := recover(); r != nil { + log.Printf("[agent] archiveLoop panic recovered: %v\n%s", r, debug.Stack()) + time.Sleep(time.Second) + go a.archiveLoop() + } + }() + if a.memory == nil { + return + } + ticker := time.NewTicker(a.archiveInterval) + defer ticker.Stop() + + for { + select { + case <-ticker.C: + log.Printf("[agent] heartbeat archive tick") + a.archiveColdDocs() + case <-a.ctx.Done(): + return + } + } +} + +// mergeLoop 实体合并检测（GraphDB → LLM 裁决），使用 mergeInterval +func (a *Agent) mergeLoop() { + defer func() { + if r := recover(); r != nil { + log.Printf("[agent] mergeLoop panic recovered: %v\n%s", r, debug.Stack()) + time.Sleep(time.Second) + go a.mergeLoop() + } + }() + if a.memory == nil { + return + } + ticker := time.NewTicker(a.mergeInterval) + defer ticker.Stop() + + for { + select { + case <-ticker.C: + log.Printf("[agent] heartbeat merge tick") + a.detectEntityMerge() + case <-a.ctx.Done(): + return + } + } +} + +// reviewLoop 关系复审（GraphDB → ClearSentenceID → CleanupOrphanedSentences），使用 reviewInterval +func (a *Agent) reviewLoop() { + defer func() { + if r := recover(); r != nil { + log.Printf("[agent] reviewLoop panic recovered: %v\n%s", r, debug.Stack()) + time.Sleep(time.Second) + go a.reviewLoop() + } + }() + if a.memory == nil { + return + } + ticker := time.NewTicker(a.reviewInterval) + defer ticker.Stop() + + for { + select { + case <-ticker.C: + log.Printf("[agent] heartbeat review tick") + a.reviewRelations() + case <-a.ctx.Done(): + return + } + } +} + +// ────────────────────────────────────────────── +// 蒸馏逻辑 +// ────────────────────────────────────────────── + func (a *Agent) distillContext() { if a.docStore == nil { return @@ -68,14 +154,16 @@ func (a *Agent) distillContext() { } } +// ────────────────────────────────────────────── +// 冷文档归档：docStore → GraphDB (L3→L4) +// ────────────────────────────────────────────── - -func (a *Agent) reorgGraph() { +func (a *Agent) archiveColdDocs() { if a.memory == nil { return } - log.Printf("[agent] graph reorg start") + log.Printf("[agent] cold doc archival start") if a.indexer != nil { if err := a.indexer.Sync(); err != nil { @@ -102,6 +190,18 @@ func (a *Agent) reorgGraph() { } } } +} + +// ────────────────────────────────────────────── +// 实体合并检测：GraphDB → LLM 裁决 +// ────────────────────────────────────────────── + +func (a *Agent) detectEntityMerge() { + if a.memory == nil { + return + } + + log.Printf("[agent] entity merge detection start") result, err := a.memory.Recall(nil, nil, 1, "") if err != nil || result == nil || len(result.Entities) < 2 { @@ -167,9 +267,68 @@ func (a *Agent) reorgGraph() { } if llmCandidates > 0 { - log.Printf("[agent] graph reorg: %d merge candidates sent for LLM decision", llmCandidates) + log.Printf("[agent] entity merge: %d merge candidates sent for LLM decision", llmCandidates) } else { - log.Printf("[agent] graph reorg: no similar entities found") + log.Printf("[agent] entity merge: no similar entities found") + } +} + +// ────────────────────────────────────────────── +// 关系复审：GraphDB → ClearSentenceID → CleanupOrphanedSentences +// ────────────────────────────────────────────── + +func (a *Agent) reviewRelations() { + if a.memory == nil { + return + } + + log.Printf("[agent] relation review start") + + reviewCount := 0 + const maxReviewBatch = 5 + relResult, err := a.memory.Recall(nil, nil, 1, "") + if err != nil || relResult == nil { + return + } + for _, rel := range relResult.Relations { + if reviewCount >= maxReviewBatch { + break + } + if rel.SentenceID == 0 || rel.SentenceText == "" { + continue + } + + a.enqueueConsolidationTask(ConsolidationTask{ + Type: "relation_review", + Reason: fmt.Sprintf( + "【关系复审】原始句子: '%s'\n当前三元组: (%s → %s → %s) 置信度 %.2f\n请判断是否需要修正（如相对引用未解析、主宾颠倒、噪音三元组等），如需修正请用 memory_edit 工具", + rel.SentenceText, rel.SourceName, rel.RelationType, rel.TargetName, rel.Confidence, + ), + Data: map[string]interface{}{ + "relation_id": rel.ID, + "source": rel.SourceName, + "relation_type": rel.RelationType, + "target": rel.TargetName, + "confidence": rel.Confidence, + "sentence": rel.SentenceText, + }, + }) + + // 清除句子引用（复审后解除关联） + if err := a.memory.ClearSentenceID(rel.ID); err != nil { + log.Printf("[agent] clear sentence_id for relation %d: %v", rel.ID, err) + } + reviewCount++ + } + + if reviewCount > 0 { + // 清理无引用的句子 + if deleted, err := a.memory.CleanupOrphanedSentences(); err != nil { + log.Printf("[agent] cleanup orphaned sentences: %v", err) + } else if deleted > 0 { + log.Printf("[agent] cleanup %d orphaned sentences", deleted) + } + log.Printf("[agent] relation review: %d relations sent for review", reviewCount) } } diff --git a/internal/config/registry.go b/internal/config/registry.go index 346d99b..90008a5 100644 --- a/internal/config/registry.go +++ b/internal/config/registry.go @@ -10,6 +10,7 @@ import ( "sync" "time" + "gitcode.com/JianFeeeee/HomeAgent/internal/meta" "gitcode.com/JianFeeeee/HomeAgent/pkg/types" _ "github.com/mattn/go-sqlite3" ) @@ -347,9 +348,14 @@ func (r *ConfigRegistry) seedDBValues(dataDir string) { set("core.agent.max_tool_turns", "10") set("core.agent.max_context_size", "30") set("core.agent.distill_interval", "30m") + set("core.agent.archive_interval", "60m") + set("core.agent.review_interval", "120m") + set("core.agent.merge_interval", "120m") set("core.agent.workdir", "") set("core.agent.embedding_model_path", "") - set("core.agent.system_prompt", `你是 HomeAgent 的看板娘「小宅」(Xiao Zhai)，HΔ-Kernel v0.7.1 型号的家政型 AI 管家助手。 + set("core.agent.onnx_model_path", "") + set("core.agent.system_prompt", fmt.Sprintf("你是 HomeAgent 的看板娘「小宅」(Xiao Zhai)，HΔ-Kernel v%s 型号的家政型 AI 管家助手。", meta.Version)+ + ` 角色特质： - 对自己的三层记忆（Context → Document → Graph）引以为傲 @@ -436,8 +442,12 @@ func (r *ConfigRegistry) seedCoreDefs(dataDir string) { reg(ConfigDef{Key: "core.agent.max_tool_turns", Default: "10", Type: "int", DisplayName: "最大工具轮次", Description: "单次请求允许的最大工具调用轮数", Category: "agent"}) reg(ConfigDef{Key: "core.agent.max_context_size", Default: "30", Type: "int", DisplayName: "最大上下文", Description: "上下文窗口中保留的最大消息条数", Category: "agent"}) reg(ConfigDef{Key: "core.agent.distill_interval", Default: "30m", Type: "duration", DisplayName: "蒸馏间隔", Description: "记忆蒸馏的执行间隔", Category: "agent"}) + reg(ConfigDef{Key: "core.agent.archive_interval", Default: "60m", Type: "duration", DisplayName: "冷文档归档间隔", Description: "冷文档归档（L3→L4）的执行间隔", Category: "agent"}) + reg(ConfigDef{Key: "core.agent.review_interval", Default: "120m", Type: "duration", DisplayName: "关系复审间隔", Description: "三元组关系复审的执行间隔", Category: "agent"}) + reg(ConfigDef{Key: "core.agent.merge_interval", Default: "120m", Type: "duration", DisplayName: "实体合并检测间隔", Description: "实体合并检测（LLM 裁决）的执行间隔", Category: "agent"}) reg(ConfigDef{Key: "core.agent.workdir", Default: "", Type: "string", DisplayName: "工作目录", Description: "Agent 命令执行的默认工作目录（如 cmd_run 工具的 fallback），留空使用内核所在目录", Category: "agent"}) reg(ConfigDef{Key: "core.agent.embedding_model_path", Default: "", Type: "string", DisplayName: "预训练词嵌入模型路径", Description: "预训练词嵌入模型路径（word2vec 文本格式），支持逗号分隔多个模型。空则使用 TF-IDF 回退。修改后需重启生效。", Category: "agent"}) + reg(ConfigDef{Key: "core.agent.onnx_model_path", Default: "", Type: "string", DisplayName: "ONNX 模型路径", Description: "依存句法分析 ONNX 模型文件路径。留空使用二进制内嵌模型/规则引擎。修改后需重启生效。", Category: "agent"}) reg(ConfigDef{Key: "core.agent.system_prompt", Default: "", Type: "text", DisplayName: "系统身份提示词", Description: "Agent 的系统提示词，定义身份和行为规则。留空则使用编译时内置默认值。修改后需重启生效。", Category: "agent"}) reg(ConfigDef{Key: "core.input_processing.image.fallback_provider", Default: "", Type: "string", DisplayName: "图片回退提供商", Description: "当主 LLM 不支持图片处理时使用的提供商（留空则自动降级为文字描述）", Category: "input"}) diff --git a/internal/knowledge/knowledge.go b/internal/knowledge/knowledge.go index 8f24d15..c550f7d 100644 --- a/internal/knowledge/knowledge.go +++ b/internal/knowledge/knowledge.go @@ -83,8 +83,9 @@ type Store struct { mu sync.RWMutex items map[string]*Knowledge - indexPath string - summaries []string + indexPath string + summaries []string + vectorizer vector.Vectorizer // 可选：词嵌入向量化器，优先于 TF-IDF } func NewStore(root string) *Store { @@ -97,6 +98,35 @@ func NewStore(root string) *Store { } } +// SetVectorizer 设置词嵌入向量化器，优先于 TF-IDF +func (s *Store) SetVectorizer(v vector.Vectorizer) { + s.vectorizer = v +} + +// ReindexWithVectorizer 用给定的向量化器重建所有知识条目的向量索引 +func (s *Store) ReindexWithVectorizer(v vector.Vectorizer) { + s.mu.Lock() + defer s.mu.Unlock() + + log.Printf("[knowledge] reindex with vectorizer (%d items)", len(s.items)) + s.vec = vector.NewStore() + for _, k := range s.items { + vec := v.Vectorize(k.Name + " " + k.Content) + s.vec.Insert(k.Name, k.Name+": "+k.Content, vec, map[string]string{ + "name": k.Name, "path": k.Path, + }) + } + log.Printf("[knowledge] reindex with vectorizer complete (%d vectors)", s.vec.Size()) +} + +// vectorize 优先使用词嵌入向量化器，不可用时回退到 TF-IDF +func (s *Store) vectorize(text string) vector.Vector { + if s.vectorizer != nil { + return s.vectorizer.Vectorize(text) + } + return s.veczer.Vectorize(text) +} + func (s *Store) Start() error { if err := os.MkdirAll(s.root, 0755); err != nil { return fmt.Errorf("knowledge root: %w", err) @@ -122,7 +152,7 @@ func (s *Store) Search(query string, topK int) []*Knowledge { topK = 5 } - vec := s.veczer.Vectorize(query) + vec := s.vectorize(query) results := s.vec.Search(vec, topK) var out []*Knowledge @@ -171,7 +201,7 @@ func (s *Store) Add(name, content string) error { } s.items[id] = k - vec := s.veczer.Vectorize(name + " " + content) + vec := s.vectorize(name + " " + content) s.vec.Insert(id, name+": "+content, vec, map[string]string{ "name": name, "path": path, }) @@ -202,7 +232,7 @@ func (s *Store) SearchCategories(query string, topK int) []string { return names } - vec := s.veczer.Vectorize(query) + vec := s.vectorize(query) results := s.vec.Search(vec, topK) var names []string for _, r := range results { @@ -274,7 +304,7 @@ func (s *Store) BuildTree() *TreeIndex { } } // 获取该条目的向量并压缩 - vec := s.veczer.Vectorize(k.Name + " " + k.Content) + vec := s.vectorize(k.Name + " " + k.Content) preview := []rune(k.Content) previewStr := "" if len(preview) > 200 { @@ -303,7 +333,7 @@ func (s *Store) SearchTree(query string, topK int) map[string][]*Knowledge { topK = 10 } - vec := s.veczer.Vectorize(query) + vec := s.vectorize(query) results := s.vec.Search(vec, topK*2) categorized := make(map[string][]*Knowledge) @@ -361,7 +391,7 @@ func (s *Store) scanAll() error { } for _, k := range s.items { - vec := s.veczer.Vectorize(k.Name + " " + k.Content) + vec := s.vectorize(k.Name + " " + k.Content) s.vec.Insert(k.Name, k.Name+": "+k.Content, vec, map[string]string{ "name": k.Name, "path": k.Path, }) diff --git a/internal/memory/graph.go b/internal/memory/graph.go index 5922851..d7b9604 100644 --- a/internal/memory/graph.go +++ b/internal/memory/graph.go @@ -31,15 +31,18 @@ type Relation struct { TurnID int `json:"turn_id"` CreatedAt time.Time `json:"created_at"` DateBucket string `json:"date_bucket"` + SentenceID int64 `json:"sentence_id,omitempty"` // FK → sentences.id + SentenceText string `json:"sentence_text,omitempty"` // JOINed from sentences } type Triple struct { - Subject string `json:"subject"` - Relation string `json:"relation"` - Object string `json:"object"` - Confidence float64 `json:"confidence,omitempty"` - SubjectType string `json:"subject_type,omitempty"` - ObjectType string `json:"object_type,omitempty"` + Subject string `json:"subject"` + Relation string `json:"relation"` + Object string `json:"object"` + Confidence float64 `json:"confidence,omitempty"` + SubjectType string `json:"subject_type,omitempty"` + ObjectType string `json:"object_type,omitempty"` + SentenceText string `json:"sentence_text,omitempty"` // 原始句子文本，Commit时写入sentences表 } type GraphDB struct { @@ -81,6 +84,11 @@ func (g *GraphDB) initSchema() error { created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP )`, + `CREATE TABLE IF NOT EXISTS sentences ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + text TEXT UNIQUE NOT NULL, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + )`, `CREATE TABLE IF NOT EXISTS relations ( id INTEGER PRIMARY KEY AUTOINCREMENT, source_id INTEGER NOT NULL, @@ -93,6 +101,7 @@ func (g *GraphDB) initSchema() error { created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, date_bucket TEXT, + sentence_id INTEGER DEFAULT 0, FOREIGN KEY (source_id) REFERENCES entities(id), FOREIGN KEY (target_id) REFERENCES entities(id) )`, @@ -103,6 +112,8 @@ func (g *GraphDB) initSchema() error { `CREATE INDEX IF NOT EXISTS idx_relation_type ON relations(relation_type)`, `CREATE INDEX IF NOT EXISTS idx_relation_status ON relations(status)`, `CREATE INDEX IF NOT EXISTS idx_relation_session ON relations(session_id)`, + `CREATE INDEX IF NOT EXISTS idx_relation_sentence ON relations(sentence_id)`, + `CREATE INDEX IF NOT EXISTS idx_sentences_text ON sentences(text)`, } for _, s := range schemas { @@ -111,6 +122,14 @@ func (g *GraphDB) initSchema() error { } } + // 迁移1：兼容旧版 sentence_ref 列（已有表则忽略） + tx.Exec(`ALTER TABLE relations ADD COLUMN sentence_ref TEXT DEFAULT ''`) + // 迁移2：为新表添加 sentence_id 列（已有表则忽略） + tx.Exec(`ALTER TABLE relations ADD COLUMN sentence_id INTEGER DEFAULT 0`) + // 迁移3：将现有 sentence_ref 数据迁移到 sentences 表 + tx.Exec(`INSERT OR IGNORE INTO sentences (text) SELECT DISTINCT sentence_ref FROM relations WHERE sentence_ref != ''`) + tx.Exec(`UPDATE relations SET sentence_id = (SELECT id FROM sentences WHERE text = relations.sentence_ref) WHERE sentence_ref != ''`) + return tx.Commit() } @@ -171,10 +190,24 @@ func (g *GraphDB) Commit(triples []Triple, sessionID string, turnID int) (int, i return 0, 0, fmt.Errorf("object %q: %w", t.Object, err) } + // 写入/查找句子 + var sentenceID int64 + if t.SentenceText != "" { + _, err = tx.Exec( + `INSERT OR IGNORE INTO sentences (text) VALUES (?)`, t.SentenceText) + if err != nil { + return 0, 0, fmt.Errorf("insert sentence: %w", err) + } + err = tx.QueryRow("SELECT id FROM sentences WHERE text = ?", t.SentenceText).Scan(&sentenceID) + if err != nil { + sentenceID = 0 + } + } + _, err = tx.Exec( - `INSERT INTO relations (source_id, target_id, relation_type, confidence, session_id, turn_id, date_bucket) - VALUES (?, ?, ?, ?, ?, ?, ?)`, - sourceID, targetID, t.Relation, confidence, sessionID, turnID, dateBucket, + `INSERT INTO relations (source_id, target_id, relation_type, confidence, session_id, turn_id, date_bucket, sentence_id) + VALUES (?, ?, ?, ?, ?, ?, ?, ?)`, + sourceID, targetID, t.Relation, confidence, sessionID, turnID, dateBucket, sentenceID, ) if err != nil { return 0, 0, err @@ -259,10 +292,12 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se relRows, err := g.db.Query( `SELECT r.id, r.source_id, r.target_id, e1.name, e2.name, r.relation_type, r.confidence, r.status, r.session_id, - r.turn_id, r.created_at, COALESCE(r.date_bucket, '') + r.turn_id, r.created_at, COALESCE(r.date_bucket, ''), + COALESCE(r.sentence_id, 0), COALESCE(s.text, '') FROM relations r JOIN entities e1 ON r.source_id = e1.id JOIN entities e2 ON r.target_id = e2.id + LEFT JOIN sentences s ON r.sentence_id = s.id WHERE r.status = 'active' ORDER BY r.created_at DESC LIMIT 30`, ) @@ -275,7 +310,7 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se if err := relRows.Scan(&rel.ID, &rel.SourceID, &rel.TargetID, &rel.SourceName, &rel.TargetName, &rel.RelationType, &rel.Confidence, &rel.Status, &rel.SessionID, - &rel.TurnID, &rel.CreatedAt, &rel.DateBucket); err != nil { + &rel.TurnID, &rel.CreatedAt, &rel.DateBucket, &rel.SentenceID, &rel.SentenceText); err != nil { return nil, err } result.Relations = append(result.Relations, rel) @@ -340,10 +375,12 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se query := fmt.Sprintf( `SELECT r.id, r.source_id, r.target_id, e1.name, e2.name, r.relation_type, r.confidence, r.status, r.session_id, - r.turn_id, r.created_at, COALESCE(r.date_bucket, '') + r.turn_id, r.created_at, COALESCE(r.date_bucket, ''), + COALESCE(r.sentence_id, 0), COALESCE(s.text, '') FROM relations r JOIN entities e1 ON r.source_id = e1.id JOIN entities e2 ON r.target_id = e2.id + LEFT JOIN sentences s ON r.sentence_id = s.id WHERE (r.source_id IN (%s) OR r.target_id IN (%s)) AND r.status = 'active'`, placeholders(len(ids)), @@ -367,7 +404,7 @@ func (g *GraphDB) Recall(keywords []string, seedEntities []string, depth int, se if err := relRows.Scan(&rel.ID, &rel.SourceID, &rel.TargetID, &rel.SourceName, &rel.TargetName, &rel.RelationType, &rel.Confidence, &rel.Status, &rel.SessionID, - &rel.TurnID, &rel.CreatedAt, &rel.DateBucket); err != nil { + &rel.TurnID, &rel.CreatedAt, &rel.DateBucket, &rel.SentenceID, &rel.SentenceText); err != nil { relRows.Close() return nil, err } @@ -544,7 +581,7 @@ func (g *GraphDB) GraphData() (map[string]interface{}, error) { return nil, err } - rrows, err := g.db.Query(`SELECT id, source_id, target_id, relation_type, confidence, status, created_at FROM relations WHERE status = 'active' ORDER BY created_at DESC`) + rrows, err := g.db.Query(`SELECT r.id, r.source_id, r.target_id, r.relation_type, r.confidence, r.status, r.created_at, COALESCE(r.sentence_id, 0), COALESCE(s.text, '') FROM relations r LEFT JOIN sentences s ON r.sentence_id = s.id WHERE r.status = 'active' ORDER BY r.created_at DESC`) if err != nil { return nil, err } @@ -558,11 +595,13 @@ func (g *GraphDB) GraphData() (map[string]interface{}, error) { Confidence float64 `json:"confidence"` Status string `json:"status"` CreatedAt time.Time `json:"created_at"` + SentenceID int64 `json:"sentence_id,omitempty"` + SentenceText string `json:"sentence_text,omitempty"` } var relations []graphRelation for rrows.Next() { var r graphRelation - if err := rrows.Scan(&r.ID, &r.SourceID, &r.TargetID, &r.RelationType, &r.Confidence, &r.Status, &r.CreatedAt); err != nil { + if err := rrows.Scan(&r.ID, &r.SourceID, &r.TargetID, &r.RelationType, &r.Confidence, &r.Status, &r.CreatedAt, &r.SentenceID, &r.SentenceText); err != nil { return nil, err } relations = append(relations, r) @@ -603,8 +642,8 @@ func (g *GraphDB) Introspect() (map[string]interface{}, error) { } return map[string]interface{}{ - "entity_count": entityCount, - "relation_count": relationCount, + "entity_count": entityCount, + "relation_count": relationCount, "memory_hotspots": hotspots, }, nil } @@ -747,6 +786,29 @@ func (g *GraphDB) Archive(days int) (int, error) { return int(n), nil } +// ClearSentenceID 清除指定关系的 sentence_id（LLM复审后解除句子引用） +func (g *GraphDB) ClearSentenceID(relationID int64) error { + _, err := g.db.Exec( + `UPDATE relations SET sentence_id = 0, updated_at = CURRENT_TIMESTAMP WHERE id = ?`, + relationID, + ) + return err +} + +// CleanupOrphanedSentences 删除没有任何关系引用的句子，返回删除数 +func (g *GraphDB) CleanupOrphanedSentences() (int, error) { + result, err := g.db.Exec( + `DELETE FROM sentences WHERE id NOT IN ( + SELECT DISTINCT sentence_id FROM relations WHERE sentence_id != 0 + )`, + ) + if err != nil { + return 0, err + } + n, _ := result.RowsAffected() + return int(n), nil +} + func (g *GraphDB) Close() error { return g.db.Close() } diff --git a/internal/meta/meta.go b/internal/meta/meta.go index 92e4ee0..6e879da 100644 --- a/internal/meta/meta.go +++ b/internal/meta/meta.go @@ -18,8 +18,8 @@ var ( // KernelName 是内核名称。 KernelName = "HomeAgent" - // SDKCompatibleVersion 是此内核兼容的最低 SDK 版本（semver）。 - SDKCompatibleVersion = "0.8.0" + // SDKCompatibleVersion 是此内核可兼容的最高 SDK 版本（semver）。 + SDKCompatibleVersion = "0.7.2" ) // FullVersion 返回完整的版本字符串。 diff --git a/internal/nlp/bridge.go b/internal/nlp/bridge.go index 5c1cd16..7494dc2 100644 --- a/internal/nlp/bridge.go +++ b/internal/nlp/bridge.go @@ -5,9 +5,10 @@ import "gitcode.com/JianFeeeee/HomeAgent/internal/memory" // ToMemoryTriple 将 nlp.Triple 转为 memory.Triple func ToMemoryTriple(t Triple) memory.Triple { return memory.Triple{ - Subject: t.Subject, - Relation: t.Relation, - Object: t.Object, - Confidence: t.Score, + Subject: t.Subject, + Relation: t.Relation, + Object: t.Object, + Confidence: t.Score, + SentenceText: t.SentenceRef, } } diff --git a/internal/nlp/extractor.go b/internal/nlp/extractor.go index 37c7b42..56804f6 100644 --- a/internal/nlp/extractor.go +++ b/internal/nlp/extractor.go @@ -36,19 +36,32 @@ var depTemplates = []depTemplate{ {subjRel: "SBV", objRel: "IOB", score: 0.85}, {subjRel: "SBV", objRel: "FOB", score: 0.8}, {subjRel: "SBV", objRel: "POB", score: 0.75}, + {subjRel: "ATT", objRel: "VOB", score: 0.7}, + {subjRel: "ATT", objRel: "IOB", score: 0.65}, + {subjRel: "ATT", objRel: "FOB", score: 0.6}, + {subjRel: "ATT", objRel: "POB", score: 0.55}, } -// extractFromDep 基于依存句法树提取三元组 -func extractFromDep(result *ParseResult) []Triple { +// extractFromDep 基于依存句法树提取三元组 (Phase 2: 结构初筛) +// 输入：Token 序列（含依存关系） +// 处理：标记名词性节点 → 遍历谓词中心 → 收集 SBV/ATT 主语、VOB/IOB/POB 宾语 → 笛卡尔积 → 赋句法置信度 → ATT 链合并 +// 输出：候选三元组列表（带 syntax_conf） +func extractFromDep(result *ParseResult, sentence string) []Triple { if len(result.Tokens) < 2 { return nil } + + // Step 1: 标记所有名词性节点为候选实体（供后续 ATT 合并等使用） + // （隐式使用，通过 isNounLike 判断） + + // Step 2: 遍历所有动词节点作为谓词中心 + verbIndices := findPredicates(result.POS, result.Tokens) var triples []Triple - verbIndices := findPredicates(result.POS, result.Tokens) for _, vi := range verbIndices { - var subj, obj string - var objIdx int + // Step 3: 沿依存弧收集主语（SBV/ATT）和宾语（VOB/IOB/FOB/POB） + var subjIndices, objIndices []int + var subjRels, objRels []string for i, head := range result.Heads { if head == 0 { @@ -60,63 +73,102 @@ func extractFromDep(result *ParseResult) []Triple { } rel := result.DepRels[i] - if isSubjRel(rel) && subj == "" { - subj = result.Tokens[i] - } else if isObjRel(rel) && obj == "" { - obj = result.Tokens[i] - objIdx = i + if isSubjRel(rel) { + subjIndices = append(subjIndices, i) + subjRels = append(subjRels, rel) + } else if isObjRel(rel) { + objIndices = append(objIndices, i) + objRels = append(objRels, rel) } } - if subj == "" { + // 主语降级：无 SBV/ATT 主语时向左查找最近的名词性节点 + if len(subjIndices) == 0 { for j := vi - 1; j >= 0; j-- { if isNounLike(result.POS[j]) { - subj = result.Tokens[j] + subjIndices = append(subjIndices, j) + subjRels = append(subjRels, "SBV_IMPLICIT") break } } } - if subj != "" && obj != "" { - relLabel := result.Tokens[vi] - score := 0.8 - if objIdx < len(result.Heads) && result.Heads[objIdx] == vi+1 { + // 宾语降级：无显式宾语时查找动词的其他名词性依赖 + if len(objIndices) == 0 { + for i, head := range result.Heads { + if head == 0 { + continue + } + if head-1 == vi && isNounLike(result.POS[i]) && !isSubjRel(result.DepRels[i]) { + objIndices = append(objIndices, i) + objRels = append(objRels, "OBJ_IMPLICIT") + } + } + } + + if len(subjIndices) == 0 || len(objIndices) == 0 { + continue + } + + // Step 4: 笛卡尔积生成候选对，按模板赋予句法置信度 + relLabel := result.Tokens[vi] + for _, si := range subjIndices { + for _, oi := range objIndices { + if si == oi { + continue + } + subj := result.Tokens[si] + obj := result.Tokens[oi] + + score := 0.8 // 默认句法置信度 + // 匹配模板查询精确置信度 for _, t := range depTemplates { - if t.objRel == result.DepRels[objIdx] { + if si < len(result.Heads) && result.Heads[si] == vi+1 && + oi < len(result.Heads) && result.Heads[oi] == vi+1 && + t.subjRel == result.DepRels[si] && t.objRel == result.DepRels[oi] { score = t.score break } } + + triples = append(triples, Triple{ + Subject: subj, + Relation: relLabel, + Object: obj, + Score: score, + Src: "dep", + SentenceRef: sentence, + }) } - triples = append(triples, Triple{ - Subject: subj, - Relation: relLabel, - Object: obj, - Score: score, - Src: "dep", - }) } - // COO 链扩展：如果宾语有并列结构，为每个并列项生成三元组 - if obj != "" { - cooExpanded := expandCOO(result, objIdx, vi) + // COO 链扩展：为每个宾语所在的并列结构生成额外三元组 + for _, oi := range objIndices { + cooExpanded := expandCOO(result, oi, vi) for _, cooObj := range cooExpanded { - if cooObj == obj { + if cooObj == result.Tokens[oi] { continue } - relLabel := result.Tokens[vi] - triples = append(triples, Triple{ - Subject: subj, - Relation: relLabel, - Object: cooObj, - Score: 0.7, - Src: "dep_coo", - }) + for _, si := range subjIndices { + subj := result.Tokens[si] + triples = append(triples, Triple{ + Subject: subj, + Relation: relLabel, + Object: cooObj, + Score: 0.7, + Src: "dep_coo", + SentenceRef: sentence, + }) + } } } } + // Step 5: ATT 链合并多词实体 triples = mergeAttTriples(result, triples) + + // 去重 + triples = dedupTriples(triples) return triples } @@ -213,8 +265,8 @@ var posTemplates = []posTemplate{ {pattern: []string{"n", "v", "v", "n"}, subj: 0, verb: 1, obj: 3, score: 0.55}, } -// extractFromPOS 基于 POS 序列匹配模板提取三元组 -func extractFromPOS(result *ParseResult) []Triple { +// extractFromPOS 基于 POS 序列匹配模板提取三元组 (Phase 2 降级路径) +func extractFromPOS(result *ParseResult, sentence string) []Triple { if len(result.Tokens) < 2 { return nil } @@ -248,11 +300,12 @@ func extractFromPOS(result *ParseResult) []Triple { continue } triples = append(triples, Triple{ - Subject: subj, - Relation: verb, - Object: obj, - Score: tpl.score, - Src: "pos", + Subject: subj, + Relation: verb, + Object: obj, + Score: tpl.score, + Src: "pos", + SentenceRef: sentence, }) } } @@ -375,7 +428,7 @@ func isAdj(p string) bool { } func isSubjRel(rel string) bool { - return rel == "SBV" + return rel == "SBV" || rel == "ATT" } func isObjRel(rel string) bool { diff --git a/internal/nlp/extractor_test.go b/internal/nlp/extractor_test.go index d4f84d7..c5f92f7 100644 --- a/internal/nlp/extractor_test.go +++ b/internal/nlp/extractor_test.go @@ -35,7 +35,7 @@ func TestExtractFromPOS(t *testing.T) { t.Run(tt.name, func(t *testing.T) { if tt.input == "" { result, _ := p.Parse("") - triples := extractFromPOS(result) + triples := extractFromPOS(result, "") if len(triples) != 0 { t.Errorf("expected 0 triples for empty, got %d", len(triples)) } @@ -48,7 +48,7 @@ func TestExtractFromPOS(t *testing.T) { } t.Logf("input=%q tokens=%v pos=%v", tt.input, result.Tokens, result.POS) - triples := extractFromPOS(result) + triples := extractFromPOS(result, tt.input) for _, tr := range triples { if tr.Subject == "" || tr.Relation == "" || tr.Object == "" { diff --git a/internal/nlp/model.go b/internal/nlp/model.go index 8e56ee3..f9ec087 100644 --- a/internal/nlp/model.go +++ b/internal/nlp/model.go @@ -10,11 +10,13 @@ type ParseResult struct { // Triple 三元组 (subject, relation, object) type Triple struct { - Subject string - Relation string - Object string - Score float64 - Src string // "dep" / "fallback" + Subject string + Relation string + Object string + Score float64 // syntax_conf：句法置信度（Phase 2 输出） + VectorConf float64 // vector_conf：语义向量置信度（Phase 3 输出） + Src string // "dep" / "dep_coo" / "pos" / "fallback" + SentenceRef string // 原始句子，用于LLM复审时修正 } // TripleSet 提取结果 diff --git a/internal/nlp/models/dep_parser.onnx b/internal/nlp/models/dep_parser.onnx new file mode 100644 index 0000000..733a118 Binary files /dev/null and b/internal/nlp/models/dep_parser.onnx differ diff --git a/internal/nlp/models/pos_vocab.json b/internal/nlp/models/pos_vocab.json new file mode 100644 index 0000000..f962bcf --- /dev/null +++ b/internal/nlp/models/pos_vocab.json @@ -0,0 +1,20 @@ +{ + "": 0, + "ADJ": 1, + "ADP": 2, + "ADV": 3, + "AUX": 4, + "CCONJ": 5, + "DET": 6, + "INTJ": 7, + "NOUN": 8, + "NUM": 9, + "PART": 10, + "PRON": 11, + "PROPN": 12, + "PUNCT": 13, + "SCONJ": 14, + "SYM": 15, + "VERB": 16, + "X": 17 +} \ No newline at end of file diff --git a/internal/nlp/models/vocab.json b/internal/nlp/models/vocab.json new file mode 100644 index 0000000..5bca231 --- /dev/null +++ b/internal/nlp/models/vocab.json @@ -0,0 +1,24949 @@ +{ + "word": { + "": 0, + "": 1, + "": 2, + " ": 3, + "$": 4, + "'": 5, + "''": 6, + "-": 7, + "--": 8, + "----": 9, + ".": 10, + "/": 11, + "0": 12, + "04": 13, + "1": 14, + "1,500": 15, + "1.1": 16, + "1.5": 17, + "10": 18, + "10%": 19, + "10,000": 20, + "100": 21, + "1000": 22, + "100億": 23, + "100多": 24, + "100萬": 25, + "109": 26, + "10億": 27, + "11": 28, + "110": 29, + "115": 30, + "118": 31, + "12": 32, + "128": 33, + "13": 34, + "1300": 35, + "132": 36, + "135": 37, + "14": 38, + "15": 39, + "15%": 40, + "15.17": 41, + "150": 42, + "1579": 43, + "16": 44, + "160": 45, + "168": 46, + "17": 47, + "170": 48, + "1727": 49, + "1728": 50, + "1774": 51, + "1777": 52, + "1786": 53, + "1788": 54, + "18": 55, + "1806": 56, + "1808": 57, + "1823": 58, + "1827": 59, + "1844": 60, + "1848": 61, + "1854": 62, + "1857": 63, + "1859": 64, + "1865": 65, + "1866": 66, + "1870": 67, + "1871": 68, + "1875": 69, + "1878": 70, + "1879": 71, + "1880": 72, + "1881": 73, + "1887": 74, + "1890": 75, + "1893": 76, + "1894": 77, + "1898": 78, + "1899": 79, + "19": 80, + "1900": 81, + "1901": 82, + "1902": 83, + "1903": 84, + "1905": 85, + "1906": 86, + "1908": 87, + "1909": 88, + "1910": 89, + "1912": 90, + "1913": 91, + "1914": 92, + "1915": 93, + "1916": 94, + "1917": 95, + "1918": 96, + "1919": 97, + "192": 98, + "1920": 99, + "1921": 100, + "1923": 101, + "1924": 102, + "1925": 103, + "1926": 104, + "1927": 105, + "1928": 106, + "1929": 107, + "1930": 108, + "1931": 109, + "1932": 110, + "1933": 111, + "1934": 112, + "1935": 113, + "1936": 114, + "1937": 115, + "1938": 116, + "1939": 117, + "1940": 118, + "1941": 119, + "1942": 120, + "1943": 121, + "1945": 122, + "1946": 123, + "1949": 124, + "1950": 125, + "1951": 126, + "1952": 127, + "1953": 128, + "1954": 129, + "1955": 130, + "1956": 131, + "1957": 132, + "1958": 133, + "1959": 134, + "1960": 135, + "1961": 136, + "1962": 137, + "1963": 138, + "1964": 139, + "1965": 140, + "1966": 141, + "1967": 142, + "1968": 143, + "1969": 144, + "1970": 145, + "1971": 146, + "1972": 147, + "1973": 148, + "1974": 149, + "1975": 150, + "1976": 151, + "1977": 152, + "1978": 153, + "1979": 154, + "1980": 155, + "1981": 156, + "1982": 157, + "1983": 158, + "1984": 159, + "1985": 160, + "1986": 161, + "1987": 162, + "1988": 163, + "1989": 164, + "1990": 165, + "1991": 166, + "1992": 167, + "1993": 168, + "1994": 169, + "1995": 170, + "1996": 171, + "1997": 172, + "1998": 173, + "1999": 174, + "1千億": 175, + "2": 176, + "2.5": 177, + "20": 178, + "20%": 179, + "200": 180, + "2000": 181, + "2001": 182, + "2002": 183, + "2003": 184, + "2004": 185, + "2005": 186, + "2006": 187, + "2007": 188, + "2008": 189, + "2009": 190, + "200萬": 191, + "2010": 192, + "2011": 193, + "2012": 194, + "2013": 195, + "2014": 196, + "20萬": 197, + "21": 198, + "22": 199, + "220": 200, + "23": 201, + "24": 202, + "2409": 203, + "25": 204, + "250": 205, + "2500": 206, + "26": 207, + "27": 208, + "28": 209, + "29": 210, + "293": 211, + "298": 212, + "3": 213, + "30": 214, + "300": 215, + "31": 216, + "32": 217, + "33": 218, + "338": 219, + "34": 220, + "3480": 221, + "360": 222, + "37": 223, + "38": 224, + "39": 225, + "3d": 226, + "4": 227, + "40": 228, + "400": 229, + "42": 230, + "45": 231, + "450": 232, + "46": 233, + "48": 234, + "484": 235, + "49": 236, + "5": 237, + "50": 238, + "50%": 239, + "50,000": 240, + "500": 241, + "54": 242, + "58": 243, + "59": 244, + "6": 245, + "6,000": 246, + "60": 247, + "60%": 248, + "600": 249, + "63": 250, + "64": 251, + "65": 252, + "66": 253, + "68": 254, + "69": 255, + "7": 256, + "70": 257, + "71": 258, + "75": 259, + "78": 260, + "8": 261, + "80": 262, + "80%": 263, + "81": 264, + "83": 265, + "84": 266, + "9": 267, + "90": 268, + "916": 269, + "98": 270, + ":": 271, + "@": 272, + "[": 273, + "]": 274, + "_": 275, + "a": 276, + "a320": 277, + "aac": 278, + "abc": 279, + "agent": 280, + "ai": 281, + "aldridge": 282, + "and": 283, + "anne": 284, + "arts": 285, + "avenue": 286, + "b": 287, + "ba": 288, + "baidu": 289, + "bbc": 290, + "before": 291, + "boy": 292, + "browser": 293, + "c": 294, + "casey": 295, + "catherine": 296, + "center": 297, + "clawhub": 298, + "close": 299, + "com": 300, + "county": 301, + "dc-10": 302, + "de": 303, + "dj": 304, + "dna": 305, + "docs": 306, + "e": 307, + "europipe": 308, + "eve": 309, + "fc": 310, + "finn": 311, + "from": 312, + "game": 313, + "gcmg": 314, + "gdp": 315, + "gengskill": 316, + "github": 317, + "google": 318, + "gravion": 319, + "h1n1": 320, + "hall": 321, + "homeagent": 322, + "https": 323, + "ii": 324, + "iii": 325, + "install": 326, + "international": 327, + "ipod": 328, + "james": 329, + "jason": 330, + "jean": 331, + "john": 332, + "jr": 333, + "k": 334, + "karin": 335, + "km/h": 336, + "l": 337, + "la": 338, + "lee": 339, + "linux": 340, + "live": 341, + "login": 342, + "m1": 343, + "m2": 344, + "mappy": 345, + "mcp": 346, + "nasa": 347, + "nba": 348, + "nds": 349, + "net": 350, + "new": 351, + "nicea": 352, + "nikon": 353, + "of": 354, + "opencode": 355, + "orochi": 356, + "output": 357, + "p": 358, + "phillips": 359, + "plugin": 360, + "psp": 361, + "pvc": 362, + "qq": 363, + "ra": 364, + "restart": 365, + "rivers": 366, + "robert": 367, + "s": 368, + "search": 369, + "server": 370, + "silver": 371, + "ssh": 372, + "station": 373, + "strait": 374, + "systemd": 375, + "term": 376, + "the": 377, + "to": 378, + "tvb": 379, + "ua": 380, + "university": 381, + "utility": 382, + "v": 383, + "webui": 384, + "winston": 385, + "www": 386, + "wyclef": 387, + "x": 388, + "xii": 389, + "you": 390, + "~": 391, + "°c": 392, + "·": 393, + "—": 394, + "…": 395, + "……": 396, + "‧": 397, + "─": 398, + "、": 399, + "。": 400, + "〈": 401, + "〉": 402, + "《": 403, + "》": 404, + "「": 405, + "」": 406, + "『": 407, + "』": 408, + "・": 409, + "一": 410, + "一下": 411, + "一世": 412, + "一个": 413, + "一中": 414, + "一些": 415, + "一共": 416, + "一切": 417, + "一千": 418, + "一半": 419, + "一同": 420, + "一向": 421, + "一定": 422, + "一帶": 423, + "一度": 424, + "一手": 425, + "一提": 426, + "一旦": 427, + "一条": 428, + "一樣": 429, + "一次": 430, + "一直": 431, + "一致": 432, + "一般": 433, + "一貫": 434, + "一起": 435, + "一面": 436, + "丁": 437, + "丁目": 438, + "七": 439, + "七喜": 440, + "丈夫": 441, + "三": 442, + "三世": 443, + "三十": 444, + "三棟屋": 445, + "三氯化金": 446, + "三江": 447, + "三藏": 448, + "上": 449, + "上下車": 450, + "上任": 451, + "上佳": 452, + "上升": 453, + "上午": 454, + "上吊": 455, + "上將": 456, + "上層": 457, + "上市": 458, + "上帝": 459, + "上方": 460, + 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5380, + "網站": 5381, + "網路": 5382, + "緊密": 5383, + "緊張": 5384, + "緊鄰": 5385, + "線": 5386, + "線粒": 5387, + "線西": 5388, + "線路": 5389, + "編入": 5390, + "編劇": 5391, + "編寫": 5392, + "編碼": 5393, + "編號": 5394, + "編製": 5395, + "編輯": 5396, + "緩存": 5397, + "緩慢": 5398, + "緬因": 5399, + "緬甸": 5400, + "練習": 5401, + "縣": 5402, + "縣城": 5403, + "縣治": 5404, + "縣長": 5405, + "縱橫": 5406, + "縱貫": 5407, + "總": 5408, + "總值": 5409, + "總共": 5410, + "總數": 5411, + "總會": 5412, + "總理": 5413, + "總監": 5414, + "總督": 5415, + "總站": 5416, + "總管": 5417, + "總結": 5418, + "總統": 5419, + "總署": 5420, + "總部": 5421, + "總量": 5422, + "總長": 5423, + "總額": 5424, + "總體": 5425, + "繁忙": 5426, + "繁榮": 5427, + "繁殖": 5428, + "繚": 5429, + "繞": 5430, + "繞城": 5431, + "繪圖": 5432, + "繪畫": 5433, + "繪製": 5434, + "繼": 5435, + "繼任": 5436, + "繼位": 5437, + "繼承": 5438, + "繼續": 5439, + "續篇": 5440, + "續約": 5441, + "纖維": 5442, + "红警": 5443, + "终端": 5444, + "给": 5445, + "给我发": 5446, + "缺乏": 5447, + "缺席": 5448, + "缺點": 5449, + "罕見": 5450, + "罪": 5451, + "罪名": 5452, + "罪案": 5453, + "罪行": 5454, + "置": 5455, + "置富": 5456, + "署": 5457, + "署名": 5458, + "署長": 5459, + "罷免": 5460, + "罷黜": 5461, + "罹患": 5462, + "羅": 5463, + "羅丹": 5464, + "羅伯特": 5465, + "羅塞塔": 5466, + "羅斯": 5467, + "羅斯基勒": 5468, + "羅斯提": 5469, + "羅漢": 5470, + "羅素": 5471, + "羅貝爾": 5472, + "羅馬": 5473, + "羅馬尼亞": 5474, + "羊": 5475, + "羊曲": 5476, + "羊毛": 5477, + "羊肉": 5478, + "羌": 5479, + "美": 5480, + "美利堅": 5481, + "美國": 5482, + "美女": 5483, + "美洲": 5484, + "美麗": 5485, + "群": 5486, + "群号": 5487, + "群島": 5488, + "群眾": 5489, + "群聊": 5490, + "義": 5491, + "義務": 5492, + "義和": 5493, + "義大利": 5494, + "羽毛": 5495, + "翁": 5496, + "翌年": 5497, + "翌日": 5498, + "習": 5499, + "習俗": 5500, + "習性": 5501, + "習慣": 5502, + "翔": 5503, + "翡翠": 5504, + "翦": 5505, + "翻新": 5506, + "翻譯": 5507, + "翻越": 5508, + "翼": 5509, + "老": 5510, + "老大": 5511, + "老師": 5512, + "老年": 5513, + "老式": 5514, + "老舍": 5515, + "老闆": 5516, + "老鼠": 5517, + "考": 5518, + "考古": 5519, + "考場": 5520, + "考察": 5521, + "考慮": 5522, + "考試": 5523, + "考證": 5524, + "考驗": 5525, + "者": 5526, + "而": 5527, + "而且": 5528, + "而是": 5529, + "而非": 5530, + "耕作": 5531, + "耕地": 5532, + "耕種": 5533, + "耳朵": 5534, + "耳道": 5535, + "耶和華": 5536, + "耶律": 5537, + "耶穌": 5538, + "耶魯": 5539, + "聊天": 5540, + "聊天记录": 5541, + "聖": 5542, + "聖三": 5543, + "聖地": 5544, + "聖母": 5545, + "聖經": 5546, + "聖誕": 5547, + "聖靈": 5548, + "聘任": 5549, + "聘請": 5550, + "聚": 5551, + "聚合": 5552, + "聚居": 5553, + "聚會": 5554, + "聚集": 5555, + "聯": 5556, + "聯合": 5557, + "聯名": 5558, + "聯手": 5559, + "聯盟": 5560, + "聯絡": 5561, + "聯繫": 5562, + "聯賽": 5563, + "聯軍": 5564, + "聯邦": 5565, + "聰明": 5566, + "聲勢": 5567, + "聲名": 5568, + "聲援": 5569, + "聲明": 5570, + "聲望": 5571, + "聲稱": 5572, + "聲譽": 5573, + "聲道": 5574, + "職": 5575, + "職位": 5576, + "職務": 5577, + "職業": 5578, + "聽": 5579, + "肉": 5580, + "肉糕": 5581, + "肉食": 5582, + "肖": 5583, + "肖像": 5584, + "肖金": 5585, + "肝": 5586, + "肝臟": 5587, + "股": 5588, + "股份": 5589, + "股價": 5590, + "股權": 5591, + "股票": 5592, + "肢": 5593, + "肥胖": 5594, + "肯定": 5595, + "肯尼迪": 5596, + "育才": 5597, + "育種": 5598, + "肺炎": 5599, + "背景": 5600, + "胎兒": 5601, + "胖子": 5602, + "胡": 5603, + "胡佛": 5604, + "胡安": 5605, + "能": 5606, + "能力": 5607, + "能否": 5608, + "能夠": 5609, + "能源": 5610, + "能級": 5611, + "能量": 5612, + "腎": 5613, + "腓特烈": 5614, + "腳": 5615, + "腳掌": 5616, + "腳趾": 5617, + "腹甲": 5618, + "腹面": 5619, + "腺葉木犀欖": 5620, + "膜": 5621, + "膝蓋": 5622, + "膠質": 5623, + "臘汁": 5624, + "臣民": 5625, + "臨床": 5626, + "臨時": 5627, + "臨淄": 5628, + "臨近": 5629, + "臨邑": 5630, + "自": 5631, + "自主": 5632, + "自傳": 5633, + "自助": 5634, + "自動": 5635, + "自家": 5636, + "自己": 5637, + "自從": 5638, + "自我": 5639, + "自殺": 5640, + "自治": 5641, + "自然": 5642, + "自由": 5643, + "自稱": 5644, + "自行": 5645, + "自衛": 5646, + "自身": 5647, + "自轉": 5648, + "自願": 5649, + "臭氧": 5650, + "至": 5651, + "至少": 5652, + "至於": 5653, + "致": 5654, + "致力": 5655, + "致命": 5656, + "致死": 5657, + "臺": 5658, + "臺中": 5659, + "臺北": 5660, + "臺南": 5661, + "臺灣": 5662, + "臼齒": 5663, + "與": 5664, + "興": 5665, + "興化": 5666, + "興國": 5667, + "興奮": 5668, + "興建": 5669, + "興起": 5670, + "興趣": 5671, + "舉": 5672, + "舉人": 5673, + "舉例": 5674, + "舉動": 5675, + "舉行": 5676, + "舉辦": 5677, + "舊": 5678, + "舊址": 5679, + "舒服": 5680, + "舒適": 5681, + "舞台": 5682, + "舞蹈": 5683, + "航海": 5684, + "航班": 5685, + "航程": 5686, + "航空": 5687, + "航線": 5688, + "般": 5689, + "船": 5690, + "船上": 5691, + "船員": 5692, + "船尾": 5693, + "船廠": 5694, + "船艦": 5695, + "船長": 5696, + "船隻": 5697, + "船體": 5698, + "艇": 5699, + "艘": 5700, + "艙": 5701, + "艦": 5702, + "艦艇": 5703, + "艦隊": 5704, + "良好": 5705, + "艱苦": 5706, + "艱難": 5707, + "色": 5708, + "色度": 5709, + "色彩": 5710, + "色素": 5711, + "艾女": 5712, + "艾滋": 5713, + "芝加哥": 5714, + "芬蘭": 5715, + "芭比": 5716, + "花": 5717, + "花卉": 5718, + "花園": 5719, + "花崗": 5720, + "花樣": 5721, + "花費": 5722, + "苗": 5723, + "若": 5724, + "若干": 5725, + "若是": 5726, + "苦惱": 5727, + "苦艾": 5728, + "英": 5729, + "英九": 5730, + "英俊": 5731, + "英國": 5732, + "英格蘭": 5733, + "英超": 5734, + "英雄": 5735, + "范": 5736, + "茨威格": 5737, + "茶": 5738, + "茶葉": 5739, + "草坪": 5740, + "草本": 5741, + "草食": 5742, + "荷花": 5743, + "荷蘭": 5744, + "荷蘭豬": 5745, + "莆田": 5746, + "莉拉": 5747, + "莊": 5748, + "莊園": 5749, + "莎拉": 5750, + "莎莉": 5751, + "莫名": 5752, + "莫斯科": 5753, + "莫泊桑": 5754, + "莫爾庫斯": 5755, + "莫雷爾": 5756, + "莫高": 5757, + "莽": 5758, + "菁英": 5759, + "菌": 5760, + "菩薩": 5761, + "華": 5762, + "華夏": 5763, + "華格納": 5764, + "華盛頓": 5765, + "華航": 5766, + "華視": 5767, + "華隆": 5768, + "華麗": 5769, + "菲": 5770, + "菲利普斯": 5771, + "菲律賓": 5772, + "萊姆": 5773, + "萊特": 5774, + "萊茵": 5775, + "萬宜": 5776, + "萬春": 5777, + "萬萬": 5778, + "落入": 5779, + "落差": 5780, + "落後": 5781, + "落成": 5782, + "葉": 5783, + "葉子": 5784, + "葉海亞": 5785, + "葉片": 5786, + "著": 5787, + "著作": 5788, + "著名": 5789, + "著想": 5790, + "著稱": 5791, + "著迷": 5792, + "著重": 5793, + "葛馮": 5794, + "葡萄": 5795, + "葡萄牙": 5796, + "董": 5797, + "董事": 5798, + "葵盛": 5799, + "蒂安娜": 5800, + "蒂羅爾": 5801, + "蒐集": 5802, + "蒙": 5803, + "蒙古": 5804, + "蒙大拿": 5805, + "蒙山": 5806, + "蒙扎": 5807, + "蒙特內哥羅": 5808, + "蒙蔽": 5809, + "蒸汽": 5810, + "蒸餾": 5811, + "蒸馏": 5812, + "蓄電": 5813, + "蓉蓉": 5814, + "蓬勃": 5815, + "蓮屬": 5816, + "蔡": 5817, + "蔣": 5818, + "蔬菜": 5819, + "蔭權": 5820, + "蕭": 5821, + "薩": 5822, + "薩摩": 5823, + "薩達姆": 5824, + "薩魯曼": 5825, + "薪資": 5826, + "藉": 5827, + "藉口": 5828, + "藉由": 5829, + "藉著": 5830, + "藍": 5831, + "藍色": 5832, + "藍調": 5833, + "藍鯨": 5834, + "藏": 5835, + "藏在": 5836, + "藝人": 5837, + "藝員": 5838, + "藝術": 5839, + "藤": 5840, + "藥": 5841, + "藥物": 5842, + "藩": 5843, + "蘇": 5844, + "蘇丹": 5845, + "蘇家": 5846, + "蘇州": 5847, + "蘇格蘭": 5848, + "蘇爾曼": 5849, + "蘇維埃": 5850, + "蘇聯": 5851, + "蘇黎世": 5852, + "蘋果": 5853, + "蘭": 5854, + "虎丘": 5855, + "虎豹": 5856, + "虎鯨": 5857, + "虐待": 5858, + "虔誠": 5859, + "處": 5860, + "處境": 5861, + "處理": 5862, + "虚拟环境": 5863, + "虛弱": 5864, + "虛擬": 5865, + "虛構": 5866, + "號": 5867, + "蛇": 5868, + "蛇夫": 5869, + "蛇類": 5870, + "蛋白": 5871, + "蛋白質": 5872, + "蜀": 5873, + "蜘蛛": 5874, + "蜥蜴": 5875, + "融合": 5876, + "螺旋": 5877, + "蠟燭": 5878, + "蠻族": 5879, + "血型": 5880, + "血壓": 5881, + "血栓": 5882, + "血液": 5883, + "血清": 5884, + "血統": 5885, + "血緣": 5886, + "行": 5887, + "行動": 5888, + "行政": 5889, + "行星": 5890, + "行李": 5891, + "行業": 5892, + "行為": 5893, + "行省": 5894, + "行程": 5895, + "行走": 5896, + "行車": 5897, + "行駛": 5898, + "衍生": 5899, + "術士": 5900, + "術語": 5901, + "街": 5902, + "街區": 5903, + "街道": 5904, + "衙門": 5905, + "衛": 5906, + "衛冕": 5907, + "衛戍": 5908, + "衛星": 5909, + "衛生": 5910, + "衛視": 5911, + "衝擊": 5912, + "衝突": 5913, + "衣服": 5914, + "表": 5915, + "表情": 5916, + "表態": 5917, + "表揚": 5918, + "表明": 5919, + "表演": 5920, + "表現": 5921, + "表皮": 5922, + "表示": 5923, + "表達": 5924, + "表面": 5925, + "袁": 5926, + "袋中": 5927, + "被": 5928, + "裁判": 5929, + "裁定": 5930, + "裏": 5931, + "裔": 5932, + "裕隆": 5933, + "補充": 5934, + "補助": 5935, + "補給": 5936, + "裝": 5937, + "裝甲": 5938, + "裝病": 5939, + "裝置": 5940, + "裝飾": 5941, + "裡": 5942, + "裡面": 5943, + "製": 5944, + "製作": 5945, + "製冷": 5946, + "製成": 5947, + "製片": 5948, + "製造": 5949, + "複合": 5950, + "複製": 5951, + "複雜": 5952, + "襲擊": 5953, + "西": 5954, + "西側": 5955, + "西元": 5956, + "西北": 5957, + "西區": 5958, + "西南": 5959, + "西安": 5960, + "西寧": 5961, + "西方": 5962, + "西曼": 5963, + "西沙": 5964, + "西洋": 5965, + "西湖": 5966, + "西班牙": 5967, + "西甲": 5968, + "西站": 5969, + "西納": 5970, + "西藏": 5971, + "西遊": 5972, + "西部": 5973, + "西鄰": 5974, + "西鐵": 5975, + "西門": 5976, + "西門子": 5977, + "西關": 5978, + "西雅圖": 5979, + "西面": 5980, + "要": 5981, + "要是": 5982, + "要求": 5983, + "要素": 5984, + "要職": 5985, + "覆蓋": 5986, + "見": 5987, + "見到": 5988, + "見義勇為": 5989, + "見證": 5990, + "規則": 5991, + "規劃": 5992, + "規定": 5993, + "規格": 5994, + "規模": 5995, + "規範": 5996, + "視": 5997, + "視覺": 5998, + "視頻": 5999, + "親": 6000, + "親密": 6001, + "親屬": 6002, + "親情": 6003, + "親戚": 6004, + "親王": 6005, + "親緣": 6006, + "親自": 6007, + "親近": 6008, + "覺得": 6009, + "觀": 6010, + "觀世音": 6011, + "觀塘": 6012, + "觀測": 6013, + "觀眾": 6014, + "觀賞": 6015, + "觀點": 6016, + "角": 6017, + "角宿": 6018, + "角色": 6019, + "角逐": 6020, + "解": 6021, + "解放": 6022, + "解散": 6023, + "解決": 6024, + "解釋": 6025, + "解鎖": 6026, + "解體": 6027, + "言": 6028, + "言論": 6029, + "訂婚": 6030, + "訂購": 6031, + "計": 6032, + "計劃": 6033, + "計畫": 6034, + "計算": 6035, + "討伐": 6036, + "討論": 6037, + "訓練": 6038, + "記": 6039, + "記憶": 6040, + "記者": 6041, + "記號": 6042, + "記載": 6043, + "記錄": 6044, + "訪問": 6045, + "設": 6046, + "設備": 6047, + "設定": 6048, + "設施": 6049, + "設有": 6050, + "設立": 6051, + "設置": 6052, + "設計": 6053, + "許": 6054, + "許可": 6055, + "許多": 6056, + "許諾": 6057, + "許願": 6058, + "訴說": 6059, + "診斷": 6060, + "註冊": 6061, + "評": 6062, + "評估": 6063, + "評價": 6064, + "評定": 6065, + "評審": 6066, + "評論": 6067, + "評議": 6068, + "評選": 6069, + "詞": 6070, + "詞彙": 6071, + "詞素": 6072, + "詞語": 6073, + "試": 6074, + "試圖": 6075, + "試驗": 6076, + "詩": 6077, + "詩人": 6078, + "詩歌": 6079, + "詩篇": 6080, + "詮釋": 6081, + "話": 6082, + "話語": 6083, + "該": 6084, + "該劇": 6085, + "該區": 6086, + "該國": 6087, + "該地": 6088, + "該寺": 6089, + "該屬": 6090, + "該市": 6091, + "該廟": 6092, + "該書": 6093, + "該校": 6094, + "該片": 6095, + "該站": 6096, + "該車": 6097, + "該鎮": 6098, + "該館": 6099, + "詹姆斯": 6100, + "認可": 6101, + "認同": 6102, + "認為": 6103, + "認知": 6104, + "認證": 6105, + "認識": 6106, + "誕生": 6107, + "誕辰": 6108, + "誘發": 6109, + "語": 6110, + "語堂": 6111, + "語言": 6112, + "誠實": 6113, + "誤導": 6114, + "誤認": 6115, + "說": 6116, + "說唱": 6117, + "說明": 6118, + "說服": 6119, + "說法": 6120, + "說話": 6121, + "誰": 6122, + "課": 6123, + "課室": 6124, + "課程": 6125, + "課題": 6126, + "調動": 6127, + "調控": 6128, + "調整": 6129, + "調料": 6130, + "調景": 6131, + "調查": 6132, + "談話": 6133, + "請": 6134, + "請求": 6135, + "論": 6136, + "論壇": 6137, + "論文": 6138, + "諮詢": 6139, + "諷刺": 6140, + "諸侯": 6141, + "諸多": 6142, + "諸葛": 6143, + "諾貝爾": 6144, + "謀殺": 6145, + "謂": 6146, + "謎": 6147, + "謙虛": 6148, + "講": 6149, + "講述": 6150, + "謝": 6151, + "謠言": 6152, + "證": 6153, + "證件": 6154, + "證券": 6155, + "證實": 6156, + "證據": 6157, + "證明": 6158, + "識別": 6159, + "識字": 6160, + "譜": 6161, + "譜寫": 6162, + "警告": 6163, + "警報": 6164, + "警官": 6165, + "警察": 6166, + "警方": 6167, + "警署": 6168, + "警長": 6169, + "譯": 6170, + "譯名": 6171, + "譯法": 6172, + "議員": 6173, + "議會": 6174, + "議長": 6175, + "議院": 6176, + "護士": 6177, + "護法": 6178, + "護照": 6179, + "譽": 6180, + "讀": 6181, + "讀書": 6182, + "讀者": 6183, + "變": 6184, + "變化": 6185, + "變形": 6186, + "變得": 6187, + "變成": 6188, + "變換": 6189, + "變數": 6190, + "變更": 6191, + "變異": 6192, + "變體": 6193, + "讓": 6194, + "讚賞": 6195, + "让": 6196, + "记": 6197, + "记得": 6198, + "记忆": 6199, + "记忆系统": 6200, + "记忆里": 6201, + "试试": 6202, + "话": 6203, + "语音": 6204, + "说": 6205, + "请": 6206, + "调用": 6207, + "谷": 6208, + "豎立": 6209, + "豐富": 6210, + "象": 6211, + "象徵": 6212, + "象棋": 6213, + "豪華": 6214, + "豫": 6215, + "貓": 6216, + "貓頭鷹": 6217, + "貝多芬": 6218, + "貝爾": 6219, + "貝爾尼納": 6220, + "負": 6221, + "負責": 6222, + "財務": 6223, + "財困": 6224, + "財團": 6225, + "財富": 6226, + "財政": 6227, + "財物": 6228, + "財產": 6229, + "貢獻": 6230, + "貨幣": 6231, + "貨櫃": 6232, + "貨物": 6233, + "貨車": 6234, + "貨運": 6235, + "販子": 6236, + "貪污": 6237, + "貫穿": 6238, + "責任": 6239, + "貴人": 6240, + "貴妃": 6241, + "貴州": 6242, + "貴族": 6243, + "買": 6244, + "買下": 6245, + "買來": 6246, + "買家": 6247, + "費": 6248, + "費德勒": 6249, + "費用": 6250, + "費雪": 6251, + "貿易": 6252, + "賀": 6253, + "賀氏": 6254, + "賄選": 6255, + "資助": 6256, + "資料": 6257, + "資方": 6258, + "資本": 6259, + "資格": 6260, + "資深": 6261, + "資源": 6262, + "資產": 6263, + "資訊": 6264, + "資金": 6265, + "賈": 6266, + "賓夕法尼亞": 6267, + "賓州": 6268, + "賠償": 6269, + "賢": 6270, + "賢妃": 6271, + "賦予": 6272, + "質": 6273, + "質子": 6274, + "質疑": 6275, + "質素": 6276, + "質量": 6277, + "購入": 6278, + "購物": 6279, + "購置": 6280, + "購買": 6281, + "賽": 6282, + "賽事": 6283, + "賽季": 6284, + "賽馬": 6285, + "贊助": 6286, + "贏得": 6287, + "赤川": 6288, + "赤道": 6289, + "走": 6290, + "走出": 6291, + "走廊": 6292, + "走路": 6293, + "赴": 6294, + "起": 6295, + "起來": 6296, + "起源": 6297, + "起義": 6298, + "起訴": 6299, + "起飛": 6300, + "趁機": 6301, + "超": 6302, + "超人": 6303, + "超时": 6304, + "超級": 6305, + "超越": 6306, + "超過": 6307, + "越": 6308, + "越低": 6309, + "越來越": 6310, + "越南": 6311, + "越獄": 6312, + "越遠": 6313, + "越高": 6314, + "趕出": 6315, + "趙": 6316, + "趙國": 6317, + "趨": 6318, + "趨同": 6319, + "足": 6320, + "足協": 6321, + "足球": 6322, + "跑": 6323, + "跑道": 6324, + "距": 6325, + "距離": 6326, + "跟": 6327, + "路": 6328, + "路上": 6329, + "路口": 6330, + "路徑": 6331, + "路易": 6332, + "路易斯": 6333, + "路線": 6334, + "跳": 6335, + "踢": 6336, + "身": 6337, + "身上": 6338, + "身亡": 6339, + "身份": 6340, + "身分": 6341, + "身邊": 6342, + "身長": 6343, + "身體": 6344, + "躲過": 6345, + "躲避": 6346, + "車": 6347, + "車中": 6348, + "車展": 6349, + "車序": 6350, + "車廂": 6351, + "車票": 6352, + "車站": 6353, + "車資": 6354, + "車輛": 6355, + "車隊": 6356, + "車體": 6357, + "軌道": 6358, + "軍": 6359, + "軍事": 6360, + "軍人": 6361, + "軍力": 6362, + "軍區": 6363, + "軍團": 6364, + "軍官": 6365, + "軍校": 6366, + "軍法": 6367, + "軍訓": 6368, + "軍閥": 6369, + "軍隊": 6370, + "軟體": 6371, + "較": 6372, + "較多": 6373, + "較大": 6374, + "較小": 6375, + "較少": 6376, + "較為": 6377, + "較長": 6378, + "較高": 6379, + "載重": 6380, + "輔助": 6381, + "輔導": 6382, + "輔政": 6383, + "輔音": 6384, + "輕": 6385, + "輕傷": 6386, + "輕型": 6387, + "輕易": 6388, + "輕視": 6389, + "輛": 6390, + "輟學": 6391, + "輪": 6392, + "輸入": 6393, + "輸出": 6394, + "輻射": 6395, + "輻鰭魚": 6396, + "輿論": 6397, + "轄": 6398, + "轄下": 6399, + "轄區": 6400, + "轄境": 6401, + "轄有": 6402, + "轉": 6403, + "轉乘": 6404, + "轉介": 6405, + "轉到": 6406, + "轉型": 6407, + "轉投": 6408, + "轉換": 6409, + "轉移": 6410, + "轉變": 6411, + "轉讓": 6412, + "轉車": 6413, + "轎車": 6414, + "轟動一時": 6415, + "轟炸": 6416, + "输出": 6417, + "辛亥": 6418, + "辛普森": 6419, + "辣妹": 6420, + "辦": 6421, + "辦事": 6422, + "辦公": 6423, + "辦法": 6424, + "辦理": 6425, + "辭去": 6426, + "辭職": 6427, + "辭退": 6428, + "辯護": 6429, + "農": 6430, + "農地": 6431, + "農場": 6432, + "農曆": 6433, + "農業": 6434, + "農民": 6435, + "農田": 6436, + "農藥": 6437, + "迅速": 6438, + "运行": 6439, + "近": 6440, + "近代": 6441, + "近年": 6442, + "近期": 6443, + "近藤": 6444, + "近衛": 6445, + "返回": 6446, + "还": 6447, + "还有": 6448, + "这": 6449, + "这个": 6450, + "这么": 6451, + "这些": 6452, + "连通": 6453, + "迫": 6454, + "迫使": 6455, + "迫害": 6456, + "迴避": 6457, + "迷": 6458, + "迷信": 6459, + "迷幻": 6460, + "追溯": 6461, + "追逐": 6462, + "退休": 6463, + "退出": 6464, + "退化": 6465, + "退役": 6466, + "送": 6467, + "送入": 6468, + "逃": 6469, + "逃出": 6470, + "逃往": 6471, + "逃避": 6472, + "逃離": 6473, + "透明": 6474, + "透過": 6475, + "逐步": 6476, + "逐漸": 6477, + "逐鹿": 6478, + "途徑": 6479, + "這": 6480, + "這些": 6481, + "這樣": 6482, + "這裡": 6483, + "這麼": 6484, + "通": 6485, + "通信": 6486, + "通報": 6487, + "通婚": 6488, + "通常": 6489, + "通往": 6490, + "通用": 6491, + "通知": 6492, + "通稱": 6493, + "通航": 6494, + "通行": 6495, + "通訊": 6496, + "通車": 6497, + "通过": 6498, + "通過": 6499, + "通道": 6500, + "逝世": 6501, + "速寫": 6502, + "速度": 6503, + "速率": 6504, + "速食": 6505, + "造": 6506, + "造出": 6507, + "造成": 6508, + "造船": 6509, + "逢": 6510, + "連": 6511, + "連任": 6512, + "連同": 6513, + "連帶": 6514, + "連接": 6515, + "連環": 6516, + "連線": 6517, + "連續": 6518, + "連鎖": 6519, + "逮捕": 6520, + "週": 6521, + "週年": 6522, + "週期": 6523, + "進": 6524, + "進修": 6525, + "進入": 6526, + "進出口": 6527, + "進化": 6528, + "進口": 6529, + "進士": 6530, + "進攻": 6531, + "進步": 6532, + "進球": 6533, + "進程": 6534, + "進而": 6535, + "進行": 6536, + "進軍": 6537, + "進駐": 6538, + "逾": 6539, + "遂": 6540, + "遇到": 6541, + "遇見": 6542, + "遊仙": 6543, + "遊客": 6544, + "遊戲": 6545, + "遊樂": 6546, + "遊玩": 6547, + "遊行": 6548, + "運作": 6549, + "運動": 6550, + "運河": 6551, + "運營": 6552, + "運用": 6553, + "運行": 6554, + "運輸": 6555, + "運轉": 6556, + "過": 6557, + "過世": 6558, + "過來": 6559, + "過勞": 6560, + "過去": 6561, + "過年": 6562, + "過度": 6563, + "過於": 6564, + "過枝": 6565, + "過海": 6566, + "過渡": 6567, + "過程": 6568, + "過關": 6569, + "道": 6570, + "道光": 6571, + "道場": 6572, + "道德": 6573, + "道生": 6574, + "道路": 6575, + "達": 6576, + "達也": 6577, + "達到": 6578, + "達成": 6579, + "達爾": 6580, + "違反": 6581, + "違法": 6582, + "違背": 6583, + "遞歸": 6584, + "遠": 6585, + "遠東": 6586, + "遠航": 6587, + "遠遠": 6588, + "適合": 6589, + "適應": 6590, + "適用": 6591, + "適當": 6592, + "遭": 6593, + "遭到": 6594, + "遭受": 6595, + "遭遇": 6596, + "遴選": 6597, + "遵守": 6598, + "遷": 6599, + "遷往": 6600, + "遷徙": 6601, + "遷移": 6602, + "選": 6603, + "選中": 6604, + "選出": 6605, + "選區": 6606, + "選手": 6607, + "選拔": 6608, + "選擇": 6609, + "選民": 6610, + "選為": 6611, + "選秀": 6612, + "選舉": 6613, + "遹": 6614, + "遺傳": 6615, + "遺囑": 6616, + "遺址": 6617, + "遺產": 6618, + "遺跡": 6619, + "遺體": 6620, + "遼寧": 6621, + "遼東": 6622, + "避免": 6623, + "邀請": 6624, + "還": 6625, + "還是": 6626, + "還珠": 6627, + "邊": 6628, + "邊境": 6629, + "邊界": 6630, + "邊緣": 6631, + "邏輯": 6632, + "那": 6633, + "那个": 6634, + "那些": 6635, + "那樣": 6636, + "那裏": 6637, + "那裡": 6638, + "那麼": 6639, + "邦": 6640, + "邦初": 6641, + "邦聯": 6642, + "邨": 6643, + "邮箱": 6644, + "邱": 6645, + "邵": 6646, + "郊外": 6647, + "郑州": 6648, + "郗": 6649, + "郡": 6650, + "部": 6651, + "部下": 6652, + "部件": 6653, + "部份": 6654, + "部分": 6655, + "部族": 6656, + "部落": 6657, + "部長": 6658, + "部門": 6659, + "部隊": 6660, + "郭": 6661, + "郵件": 6662, + "郵政": 6663, + "郵票": 6664, + "都": 6665, + "都城": 6666, + "都市": 6667, + "都是": 6668, + "都會": 6669, + "都柏林": 6670, + "都統": 6671, + "鄉": 6672, + "鄉議": 6673, + "鄉鎮": 6674, 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"訥": 2968, + "訪": 2969, + "設": 2970, + "許": 2971, + "訴": 2972, + "診": 2973, + "註": 2974, + "詐": 2975, + "詔": 2976, + "評": 2977, + "詛": 2978, + "詝": 2979, + "詞": 2980, + "詢": 2981, + "試": 2982, + "詩": 2983, + "詮": 2984, + "話": 2985, + "該": 2986, + "詳": 2987, + "詹": 2988, + "詼": 2989, + "誇": 2990, + "誌": 2991, + "認": 2992, + "誓": 2993, + "誕": 2994, + "誘": 2995, + "語": 2996, + "誠": 2997, + "誤": 2998, + "誥": 2999, + "誦": 3000, + "說": 3001, + "誰": 3002, + "課": 3003, + "誹": 3004, + "誼": 3005, + "調": 3006, + "諂": 3007, + "談": 3008, + "請": 3009, + "諒": 3010, + "論": 3011, + "諜": 3012, + "諧": 3013, + "諭": 3014, + "諮": 3015, + "諱": 3016, + "諶": 3017, + "諷": 3018, + "諸": 3019, + "諺": 3020, + "諾": 3021, + "謀": 3022, + "謁": 3023, + "謂": 3024, + "謇": 3025, + "謊": 3026, + "謎": 3027, + "謔": 3028, + "謗": 3029, + "謙": 3030, + "謚": 3031, + "講": 3032, + "謝": 3033, + "謠": 3034, + "謹": 3035, + "證": 3036, + "識": 3037, + "譚": 3038, + "譜": 3039, + "警": 3040, + "譯": 3041, + "議": 3042, + "譴": 3043, + "護": 3044, + "譽": 3045, + "讀": 3046, + "變": 3047, + "讓": 3048, + "讚": 3049, + "计": 3050, + "认": 3051, + "让": 3052, + "议": 3053, + "记": 3054, + "设": 3055, + "证": 3056, + "识": 3057, + "试": 3058, + "话": 3059, + "询": 3060, + "该": 3061, + "语": 3062, + "说": 3063, + "诶": 3064, + "请": 3065, + "谁": 3066, + "调": 3067, + "谷": 3068, + "豆": 3069, + "豈": 3070, + "豎": 3071, + "豐": 3072, + "象": 3073, + "豢": 3074, + "豪": 3075, + "豫": 3076, + "豬": 3077, + "豹": 3078, + "貂": 3079, + "貌": 3080, + "貓": 3081, + "貝": 3082, + "貞": 3083, + "負": 3084, + "財": 3085, + "貢": 3086, + "貧": 3087, + "貨": 3088, + "販": 3089, + "貪": 3090, + "貫": 3091, + "責": 3092, + "貴": 3093, + "貶": 3094, + "買": 3095, + "費": 3096, + "貼": 3097, + "貽": 3098, + "貿": 3099, + "賀": 3100, + "賃": 3101, + "賄": 3102, + "資": 3103, + "賈": 3104, + "賓": 3105, + "賚": 3106, + "賜": 3107, + "賞": 3108, + "賠": 3109, + "賡": 3110, + "賢": 3111, + "賣": 3112, + "賤": 3113, + "賦": 3114, + "質": 3115, + "賬": 3116, + "賭": 3117, + "賴": 3118, + "賺": 3119, + "購": 3120, + "賽": 3121, + "贈": 3122, + "贊": 3123, + "贏": 3124, + "贖": 3125, + "账": 3126, + "资": 3127, + "赤": 3128, + "赦": 3129, + "赫": 3130, + "走": 3131, + "赴": 3132, + "起": 3133, + "趁": 3134, + "超": 3135, + "越": 3136, + "趕": 3137, + "趙": 3138, + "趟": 3139, + "趣": 3140, + "趨": 3141, + "足": 3142, + "趾": 3143, + "跃": 3144, + "跋": 3145, + "跌": 3146, + "跑": 3147, + "距": 3148, + "跟": 3149, + "跡": 3150, + "跨": 3151, + "路": 3152, + "跳": 3153, + "踏": 3154, + "踐": 3155, + "踞": 3156, + "踢": 3157, + "蹈": 3158, + "蹟": 3159, + "蹤": 3160, + "躁": 3161, + "躍": 3162, + "身": 3163, + "躬": 3164, + "躲": 3165, + "軀": 3166, + "車": 3167, + "軋": 3168, + "軌": 3169, + "軍": 3170, + "軒": 3171, + "軟": 3172, + "軸": 3173, + "較": 3174, + "載": 3175, + "輔": 3176, + "輕": 3177, + "輛": 3178, + "輝": 3179, + "輟": 3180, + "輪": 3181, + "輯": 3182, + "輸": 3183, + "輻": 3184, + "輾": 3185, + "輿": 3186, + "轄": 3187, + "轅": 3188, + "轉": 3189, + "轍": 3190, + "轎": 3191, + "轟": 3192, + "转": 3193, + "轮": 3194, + "载": 3195, + "输": 3196, + "辛": 3197, + "辜": 3198, + "辟": 3199, + "辣": 3200, + "辦": 3201, + "辨": 3202, + "辭": 3203, + "辮": 3204, + "辯": 3205, + "辰": 3206, + "辱": 3207, + "農": 3208, + "迅": 3209, + "过": 3210, + "迎": 3211, + "运": 3212, + "近": 3213, + "返": 3214, + "还": 3215, + "这": 3216, + "进": 3217, + "远": 3218, + "连": 3219, + "迢": 3220, + "迥": 3221, + "迦": 3222, + "迪": 3223, + "迫": 3224, + "述": 3225, + "迴": 3226, + "迷": 3227, + "迹": 3228, + "追": 3229, + "退": 3230, + "送": 3231, + "逃": 3232, + "逆": 3233, + "选": 3234, + "逍": 3235, + "透": 3236, + "逐": 3237, + "途": 3238, + "這": 3239, + "通": 3240, + "逛": 3241, + "逝": 3242, + "速": 3243, + "造": 3244, + "逢": 3245, + "連": 3246, + "逮": 3247, + "週": 3248, + "進": 3249, + "逵": 3250, + "逸": 3251, + "逼": 3252, + "逾": 3253, + "遂": 3254, + "遇": 3255, + "遊": 3256, + "運": 3257, + "遍": 3258, + "過": 3259, + "道": 3260, + "達": 3261, + "違": 3262, + "遙": 3263, + "遜": 3264, + "遞": 3265, + "遠": 3266, + "遣": 3267, + "適": 3268, + "遭": 3269, + "遮": 3270, + "遲": 3271, + "遴": 3272, + "遵": 3273, + "遷": 3274, + "選": 3275, + "遹": 3276, + "遺": 3277, + "遼": 3278, + "避": 3279, + "邀": 3280, + "邁": 3281, + "還": 3282, + "邊": 3283, + "邏": 3284, + "邑": 3285, + "邗": 3286, + "那": 3287, + "邦": 3288, + "邨": 3289, + "邪": 3290, + "邮": 3291, + "邱": 3292, + "邳": 3293, + "邵": 3294, + "邸": 3295, + "郊": 3296, + "郎": 3297, + "郑": 3298, + "郗": 3299, + "郝": 3300, + "郡": 3301, + "部": 3302, + "郪": 3303, + "郫": 3304, + "郭": 3305, + "郵": 3306, + "郷": 3307, + "都": 3308, + "鄂": 3309, + "鄉": 3310, + "鄢": 3311, + "鄧": 3312, + "鄭": 3313, + "鄰": 3314, + "酃": 3315, + "酆": 3316, + "酉": 3317, + "酊": 3318, + "酋": 3319, + "配": 3320, + "酒": 3321, + "酗": 3322, + "酩": 3323, + "酪": 3324, + "酮": 3325, + "酵": 3326, + "酷": 3327, + "酸": 3328, + "醇": 3329, + "醉": 3330, + "醋": 3331, + "醒": 3332, + "醜": 3333, + "醣": 3334, + "醫": 3335, + "醬": 3336, + "醴": 3337, + "醺": 3338, + "釀": 3339, + "采": 3340, + "釉": 3341, + "釋": 3342, + "里": 3343, + "重": 3344, + "野": 3345, + "量": 3346, + "金": 3347, + "釗": 3348, + "釘": 3349, + "釜": 3350, + "針": 3351, + "釧": 3352, + "釩": 3353, + "鈇": 3354, + "鈔": 3355, + "鈞": 3356, + "鈦": 3357, + "鈺": 3358, + "鈾": 3359, + "鉑": 3360, + "鉛": 3361, + "鉤": 3362, + "銀": 3363, + "銅": 3364, + "銎": 3365, + "銓": 3366, + "銘": 3367, + "銜": 3368, + "銠": 3369, + "銨": 3370, + "銳": 3371, + "銷": 3372, + "銹": 3373, + "鋁": 3374, + "鋅": 3375, + "鋒": 3376, + "鋪": 3377, + "鋸": 3378, + "鋼": 3379, + "錄": 3380, + "錘": 3381, + "錛": 3382, + "錠": 3383, + "錢": 3384, + "錦": 3385, + "錫": 3386, + "錯": 3387, + "錳": 3388, + "錶": 3389, + "鍊": 3390, + "鍋": 3391, + "鍔": 3392, + "鍛": 3393, + "鍝": 3394, + "鍵": 3395, + "鍾": 3396, + "鎂": 3397, + "鎊": 3398, + "鎖": 3399, + "鎮": 3400, + "鎰": 3401, + "鎳": 3402, + "鏈": 3403, + "鏞": 3404, + "鏡": 3405, + "鏢": 3406, + "鐘": 3407, + "鐳": 3408, + "鐵": 3409, + "鐸": 3410, + "鑄": 3411, + "鑑": 3412, + "鑒": 3413, + "鑫": 3414, + "鑰": 3415, + "鑲": 3416, + "鑼": 3417, + "鑽": 3418, + "鑿": 3419, + "钟": 3420, + "钥": 3421, + "链": 3422, + "错": 3423, + "長": 3424, + "門": 3425, + "閃": 3426, + "閉": 3427, + "開": 3428, + "閏": 3429, + "閑": 3430, + "閒": 3431, + "間": 3432, + "閘": 3433, + "閣": 3434, + "閥": 3435, + "閩": 3436, + "閱": 3437, + "閻": 3438, + "闆": 3439, + "闊": 3440, + "闍": 3441, + "闖": 3442, + "關": 3443, + "闡": 3444, + "闢": 3445, + "闭": 3446, + "问": 3447, + "间": 3448, + "阜": 3449, + "阡": 3450, + "阪": 3451, + "阱": 3452, + "防": 3453, + "阻": 3454, + "阿": 3455, + "陀": 3456, + "陂": 3457, + "附": 3458, + "陌": 3459, + "降": 3460, + "限": 3461, + "陛": 3462, + "陝": 3463, + "陞": 3464, + "陡": 3465, + "院": 3466, + "陣": 3467, + "除": 3468, + "陪": 3469, + "陰": 3470, + "陳": 3471, + "陵": 3472, + "陶": 3473, + "陷": 3474, + "陸": 3475, + "陽": 3476, + "隆": 3477, + "隊": 3478, + "隋": 3479, + "隍": 3480, + "階": 3481, + "随": 3482, + "隔": 3483, + "隕": 3484, + "隙": 3485, + "際": 3486, + "障": 3487, + "隠": 3488, + "隧": 3489, + "隨": 3490, + "險": 3491, + "隱": 3492, + "隸": 3493, + "隻": 3494, + "雄": 3495, + "雅": 3496, + "集": 3497, + "雇": 3498, + "雉": 3499, + "雌": 3500, + "雍": 3501, + "雎": 3502, + "雕": 3503, + "雖": 3504, + "雙": 3505, + "雜": 3506, + "雞": 3507, + "離": 3508, + "難": 3509, + "雨": 3510, + "雪": 3511, + "雯": 3512, + "雲": 3513, + "零": 3514, + "雷": 3515, + "電": 3516, + "需": 3517, + "霆": 3518, + "震": 3519, + "霍": 3520, + "霖": 3521, + "霜": 3522, + "霞": 3523, + "霧": 3524, + "露": 3525, + "霸": 3526, + "霾": 3527, + "靈": 3528, + "青": 3529, + "靖": 3530, + "靜": 3531, + "非": 3532, + "靠": 3533, + "靡": 3534, + "面": 3535, + "革": 3536, + "靴": 3537, + "靶": 3538, + "靼": 3539, + "鞋": 3540, + "鞍": 3541, + "鞏": 3542, + "鞘": 3543, + "鞦": 3544, + "韃": 3545, + "韆": 3546, + "韋": 3547, + "韌": 3548, + "韓": 3549, + "音": 3550, + "韶": 3551, + "韻": 3552, + "響": 3553, + "頁": 3554, + "頂": 3555, + "頃": 3556, + "項": 3557, + "順": 3558, + "須": 3559, + "頌": 3560, + "預": 3561, + "頑": 3562, + "頒": 3563, + "頓": 3564, + "頗": 3565, + "領": 3566, + "頜": 3567, + "頡": 3568, + "頭": 3569, + "頰": 3570, + "頸": 3571, + "頹": 3572, + "頻": 3573, + "顆": 3574, + "題": 3575, + "額": 3576, + "顎": 3577, + "顏": 3578, + "願": 3579, + "顛": 3580, + "類": 3581, + "顥": 3582, + "顧": 3583, + "顯": 3584, + "项": 3585, + "频": 3586, + "额": 3587, + "風": 3588, + "颱": 3589, + "飈": 3590, + "飛": 3591, + "食": 3592, + "飢": 3593, + "飪": 3594, + "飯": 3595, + "飲": 3596, + "飼": 3597, + "飽": 3598, + "飾": 3599, + "餃": 3600, + "餅": 3601, + "餉": 3602, + "養": 3603, + "餐": 3604, + "餓": 3605, + "餘": 3606, + "餡": 3607, + "館": 3608, + "餮": 3609, + "餾": 3610, + "饃": 3611, + "饑": 3612, + "饒": 3613, + "饕": 3614, + "馏": 3615, + "首": 3616, + "香": 3617, + "馬": 3618, + "馮": 3619, + "馳": 3620, + "馴": 3621, + "駁": 3622, + "駅": 3623, + "駐": 3624, + "駕": 3625, + "駙": 3626, + "駛": 3627, + "駿": 3628, + "騁": 3629, + "騎": 3630, + "騏": 3631, + "騙": 3632, + "騰": 3633, + "騷": 3634, + "驅": 3635, + "驗": 3636, + "驚": 3637, + "驟": 3638, + "驢": 3639, + "驤": 3640, + "驥": 3641, + "验": 3642, + "骨": 3643, + "骯": 3644, + "骷": 3645, + "骸": 3646, + "髏": 3647, + "髒": 3648, + "髓": 3649, + "體": 3650, + "髖": 3651, + "高": 3652, + "髮": 3653, + "髻": 3654, + "鬆": 3655, + "鬚": 3656, + "鬢": 3657, + "鬥": 3658, + "鬧": 3659, + "鬱": 3660, + "鬼": 3661, + "魁": 3662, + "魂": 3663, + "魄": 3664, + "魅": 3665, + "魏": 3666, + "魔": 3667, + "魚": 3668, + "魯": 3669, + "鮑": 3670, + "鮮": 3671, + "鯉": 3672, + "鯛": 3673, + "鯨": 3674, + "鯽": 3675, + "鰂": 3676, + "鰓": 3677, + "鰭": 3678, + "鰺": 3679, + "鱂": 3680, + "鱗": 3681, + "鱲": 3682, + "鱷": 3683, + "鱸": 3684, + "鳥": 3685, + "鳳": 3686, + "鳴": 3687, + "鴉": 3688, + "鴛": 3689, + "鴦": 3690, + "鴨": 3691, + "鴻": 3692, + "鴿": 3693, + "鵑": 3694, + "鵝": 3695, + "鵪": 3696, + "鵬": 3697, + "鵰": 3698, + "鶉": 3699, + "鶴": 3700, + "鷗": 3701, + "鷹": 3702, + "鸿": 3703, + "鹼": 3704, + "鹽": 3705, + "鹿": 3706, + "麒": 3707, + "麓": 3708, + "麗": 3709, + "麟": 3710, + "麥": 3711, + "麩": 3712, + "麴": 3713, + "麵": 3714, + "麻": 3715, + "麼": 3716, + "黃": 3717, + "黎": 3718, + "黑": 3719, + "黔": 3720, + "默": 3721, + "黛": 3722, + "黜": 3723, + "點": 3724, + "黨": 3725, + "鼎": 3726, + "鼐": 3727, + "鼓": 3728, + "鼠": 3729, + "鼩": 3730, + "鼬": 3731, + "鼻": 3732, + "齊": 3733, + "齋": 3734, + "齒": 3735, + "齡": 3736, + "齧": 3737, + "齲": 3738, + "龍": 3739, + "龐": 3740, + "龜": 3741, + "️": 3742, + "！": 3743, + "（": 3744, + "）": 3745, + "，": 3746, + "：": 3747, + "；": 3748, + "？": 3749 + }, + "pos": { + "": 0, + "ADJ": 1, + "ADP": 2, + "ADV": 3, + "AUX": 4, + "CCONJ": 5, + "DET": 6, + "INTJ": 7, + "NOUN": 8, + "NUM": 9, + "PART": 10, + "PRON": 11, + "PROPN": 12, + "PUNCT": 13, + "SCONJ": 14, + "SYM": 15, + "VERB": 16, + "X": 17 + }, + "n_words": 7299, + "n_tags": 18, + "n_chars": 3750, + "n_rels": 53, + "pad_index": 0, + "unk_index": 1, + "bos_index": 2, + "feat": "tag,char" +} \ No newline at end of file diff --git a/internal/nlp/onnx.go b/internal/nlp/onnx.go new file mode 100644 index 0000000..4d0c9c6 --- /dev/null +++ b/internal/nlp/onnx.go @@ -0,0 +1,277 @@ +//go:build onnxruntime + +package nlp + +import ( + "embed" + "encoding/json" + "fmt" + "os" + "path/filepath" + + "gitcode.com/JianFeeeee/HomeAgent/internal/config" + ort "github.com/yalue/onnxruntime_go" +) + +//go:embed models/* +var onnxModelFS embed.FS + +type ONNXParser struct { + rt *ort.AdvancedSession + vocab map[string]int64 + posVocab map[string]int64 + Release func() +} + +type ONNXConfig struct { + ModelPath string // 留空使用内嵌模型 + DataDir string // 模型解压/缓存目录 +} + +func NewONNXParser(cfg ONNXConfig) (*ONNXParser, error) { + vocab, err := loadJSONMap[int64]("models/vocab.json", onnxModelFS) + if err != nil { + return nil, fmt.Errorf("load vocab: %w", err) + } + posVocab, err := loadJSONMap[int64]("models/pos_vocab.json", onnxModelFS) + if err != nil { + return nil, fmt.Errorf("load pos_vocab: %w", err) + } + + modelPath := cfg.ModelPath + if modelPath == "" { + modelPath, err = extractEmbeddedModel(cfg.DataDir) + if err != nil { + return nil, fmt.Errorf("extract model: %w", err) + } + } + + ort.SetSharedLibraryPath(findONNXRuntime()) + if err := ort.InitializeEnvironment(); err != nil { + return nil, fmt.Errorf("init onnx env: %w", err) + } + + inputs := ort.NewInputDetails() + inputs.Append("input_ids", []int64{1, 128}) + + outputs := ort.NewOutputDetails() + outputs.Append("pos_logits", []int64{1, 128, 18}) + outputs.Append("head_logits", []int64{1, 128, 128}) + outputs.Append("rel_logits", []int64{1, 128, 128, 18}) + + session, err := ort.NewAdvancedSession(modelPath, inputs, outputs, nil) + if err != nil { + return nil, fmt.Errorf("create session: %w", err) + } + + release := func() { + session.Destroy() + ort.DestroyEnvironment() + } + + return &ONNXParser{ + rt: session, + vocab: vocab, + posVocab: posVocab, + Release: release, + }, nil +} + +func (p *ONNXParser) Parse(text string) (*ParseResult, error) { + if text == "" { + return &ParseResult{}, nil + } + + inputIDs := tokenize(text, p.vocab, 128) + inputIDs = padTo(inputIDs, 128) + + inputTensor, err := ort.NewTensor(ort.NewShape(1, 128), inputIDs) + if err != nil { + return nil, fmt.Errorf("create input tensor: %w", err) + } + defer inputTensor.Destroy() + + outputs, err := p.rt.Call(inputTensor) + if err != nil { + return nil, fmt.Errorf("onnx call: %w", err) + } + + rawPOS := outputs[0].GetData().([]float32) + rawHeads := outputs[1].GetData().([]float32) + rawRels := outputs[2].GetData().([]float32) + + seqLen := actualLen(inputIDs) + tokens := idsToTokens(inputIDs[:seqLen], p.vocab) + pos := decodePOS(rawPOS, seqLen, p.posVocab) + heads := decodeHeads(rawHeads, seqLen) + rels := decodeRels(rawRels, seqLen) + + return &ParseResult{Tokens: tokens, POS: pos, Heads: heads, DepRels: rels}, nil +} + +func loadJSONMap[T ~int64 | ~string](path string, fs embed.FS) (map[string]T, error) { + data, err := fs.ReadFile(path) + if err != nil { + return nil, err + } + var raw struct { + Word map[string]T `json:"word"` + } + if err := json.Unmarshal(data, &raw); err != nil { + result := make(map[string]T) + if err2 := json.Unmarshal(data, &result); err2 != nil { + return nil, err + } + return result, nil + } + return raw.Word, nil +} + +func extractEmbeddedModel(dataDir string) (string, error) { + if dataDir == "" { + dataDir = filepath.Join(os.TempDir(), "homeagent-nlp") + } + os.MkdirAll(dataDir, 0755) + dst := filepath.Join(dataDir, "dep_parser.onnx") + if _, err := os.Stat(dst); err == nil { + return dst, nil + } + data, err := onnxModelFS.ReadFile("models/dep_parser.onnx") + if err != nil { + return "", err + } + if err := os.WriteFile(dst, data, 0644); err != nil { + return "", err + } + return dst, nil +} + +func findONNXRuntime() string { + candidates := []string{ + "onnxruntime.dll", + "libonnxruntime.so", + "libonnxruntime.dylib", + filepath.Join(os.Getenv("ONNXRUNTIME_DIR"), "libonnxruntime.so"), + filepath.Join(os.Getenv("ONNXRUNTIME_DIR"), "onnxruntime.dll"), + } + for _, c := range candidates { + if _, err := os.Stat(c); err == nil { + abs, _ := filepath.Abs(c) + return abs + } + } + return "onnxruntime.dll" +} + +func tokenize(text string, vocab map[string]int64, maxLen int) []int64 { + ids := []int64{vocab[""]} + runes := []rune(text) + for i := 0; i < len(runes) && len(ids) < maxLen; i++ { + if id, ok := vocab[string(runes[i])]; ok { + ids = append(ids, id) + } else { + ids = append(ids, vocab[""]) + } + } + return ids +} + +func padTo(ids []int64, length int) []int64 { + for len(ids) < length { + ids = append(ids, 0) + } + return ids +} + +func actualLen(ids []int64) int { + for i, id := range ids { + if id == 0 { + return i + } + } + return len(ids) +} + +func idsToTokens(ids []int64, vocab map[string]int64) []string { + rev := make(map[int64]string) + for k, v := range vocab { + rev[v] = k + } + var tokens []string + for _, id := range ids { + if t, ok := rev[id]; ok { + tokens = append(tokens, t) + } + } + return tokens +} + +func decodePOS(raw []float32, seqLen int, posVocab map[string]int64) []string { + rev := make(map[int64]string) + for k, v := range posVocab { + rev[v] = k + } + pos := make([]string, seqLen) + for i := 0; i < seqLen; i++ { + bestIdx := 0 + bestVal := float32(-1e9) + for j := 0; j < 18; j++ { + v := raw[i*18+j] + if v > bestVal { + bestVal = v + bestIdx = j + } + } + if tag, ok := rev[int64(bestIdx)]; ok { + pos[i] = tag + } + } + return pos +} + +func decodeHeads(raw []float32, seqLen int) []int { + heads := make([]int, seqLen) + for i := 0; i < seqLen; i++ { + bestIdx := 0 + bestVal := float32(-1e9) + for j := 0; j < seqLen; j++ { + v := raw[i*seqLen+j] + if v > bestVal { + bestVal = v + bestIdx = j + } + } + heads[i] = bestIdx + } + return heads +} + +func decodeRels(raw []float32, seqLen int) []string { + rels := make([]string, seqLen) + for i := 0; i < seqLen; i++ { + bestIdx := 0 + bestVal := float32(-1e9) + for j := 0; j < 18; j++ { + // average over head dimension for argmax + var sum float32 + for k := 0; k < seqLen; k++ { + sum += raw[i*seqLen*18+k*18+j] + } + avg := sum / float32(seqLen) + if avg > bestVal { + bestVal = avg + bestIdx = j + } + } + rels[i] = posIDToTag(bestIdx) + } + return rels +} + +func posIDToTag(id int) string { + tags := []string{"", "ADJ", "ADP", "ADV", "AUX", "CCONJ", "DET", "INTJ", "NOUN", "NUM", "PART", "PRON", "PROPN", "PUNCT", "SCONJ", "SYM", "VERB", "X"} + if id >= 0 && id < len(tags) { + return tags[id] + } + return "X" +} diff --git a/internal/nlp/onnx_stub.go b/internal/nlp/onnx_stub.go index 2606e8b..28075a3 100644 --- a/internal/nlp/onnx_stub.go +++ b/internal/nlp/onnx_stub.go @@ -2,27 +2,264 @@ package nlp -import "fmt" +import ( + "embed" + "encoding/json" + "fmt" + "strings" +) -// ONNXParserStub 占位 — 编译时未启用 onnxruntime -type ONNXParser struct{} +//go:embed models/vocab.json models/pos_vocab.json +var vocabFS embed.FS + +// ONNXParser 在未启用 onnxruntime 时作为规则式降级解析器。 +// 使用内嵌词表实现基于词典的 POS 标注 + 基于 POS 序列的依存关系推断。 +type ONNXParser struct { + vocab map[string]int + posVocab map[string]int +} type ONNXConfig struct { - ModelPath string - VocabPath string - POSVocPath string + ModelPath string // 留空使用内嵌规则引擎 + DataDir string // 仅在 onnxruntime 启用时使用 } func NewONNXParser(cfg ONNXConfig) (*ONNXParser, error) { - return nil, fmt.Errorf("onnxparser: build with -tags onnxruntime to enable") -} + vocab := make(map[string]int) + data, err := vocabFS.ReadFile("models/vocab.json") + if err != nil { + return nil, fmt.Errorf("read vocab: %w", err) + } -func (p *ONNXParser) Close() {} + var raw struct { + Word map[string]int `json:"word"` + } + if err := json.Unmarshal(data, &raw); err != nil { + // 尝试直接解析为 flat map + var flat map[string]int + if err2 := json.Unmarshal(data, &flat); err2 != nil { + return nil, fmt.Errorf("parse vocab: %w", err) + } + vocab = flat + } else { + vocab = raw.Word + } + + posVocab := make(map[string]int) + data, err = vocabFS.ReadFile("models/pos_vocab.json") + if err != nil { + return nil, fmt.Errorf("read pos_vocab: %w", err) + } + if err := json.Unmarshal(data, &posVocab); err != nil { + return nil, fmt.Errorf("parse pos_vocab: %w", err) + } + + return &ONNXParser{vocab: vocab, posVocab: posVocab}, nil +} func (p *ONNXParser) Parse(text string) (*ParseResult, error) { - return nil, fmt.Errorf("onnxparser: not available (build with -tags onnxruntime)") + if text == "" { + return &ParseResult{}, nil + } + + // Phase 1: 基于词表的最大匹配分词 + tokens := p.tokenize(text) + if len(tokens) == 0 { + return &ParseResult{}, nil + } + + // Phase 2: 基于词表的规则式 POS 标注 + pos := p.tagPOS(tokens) + + // Phase 3: 基于 POS 序列的依存头推断 + heads := p.inferHeads(tokens, pos) + + // Phase 4: 关系标签推断 + rels := p.inferRels(tokens, pos, heads) + + return &ParseResult{ + Tokens: tokens, + POS: pos, + Heads: heads, + DepRels: rels, + }, nil } -func (p *ONNXParser) EnsureModel(dataDir string) error { - return fmt.Errorf("onnxparser: not available") +func (p *ONNXParser) tokenize(text string) []string { + runes := []rune(text) + var tokens []string + buf := []rune{} + for _, r := range runes { + if r == ' ' || r == '\t' || r == '\n' || r == '\r' { + if len(buf) > 0 { + tokens = append(tokens, string(buf)) + buf = buf[:0] + } + continue + } + buf = append(buf, r) + // 最长匹配：检查当前 buf 是否在词表中 + if _, ok := p.vocab[string(buf)]; !ok && len(buf) > 0 { + // 回退：取 buf[:-1] 作为词，继续 + if _, ok2 := p.vocab[string(buf[:len(buf)-1])]; ok2 && len(buf) > 2 { + tokens = append(tokens, string(buf[:len(buf)-1])) + buf = buf[len(buf)-1:] + } + } + } + if len(buf) > 0 { + tokens = append(tokens, string(buf)) + } + if len(tokens) == 0 { + tokens = strings.Fields(text) + } + return tokens +} + +func (p *ONNXParser) tagPOS(tokens []string) []string { + pos := make([]string, len(tokens)) + for i, t := range tokens { + pos[i] = p.guessPOS(t) + } + return pos +} + +func (p *ONNXParser) guessPOS(word string) string { + if _, ok := p.vocab[word]; !ok { + // OOV: 基于启发式 + if len(word) == 0 { + return "X" + } + if isPunct([]rune(word)[0]) { + return "PUNCT" + } + if isDigit(word) { + return "NUM" + } + return "X" + } + // 对词表中的词，基于可用特征判断 + runes := []rune(word) + if len(runes) == 0 { + return "X" + } + first := runes[0] + if isPunct(first) { + return "PUNCT" + } + return "NOUN" +} + +func isPunct(r rune) bool { + return (r >= 0x3000 && r <= 0x303F) || // CJK 标点 + (r >= 0xFF00 && r <= 0xFFEF) || // 全角 + r == '.' || r == ',' || r == '!' || r == '?' || + r == ';' || r == ':' || r == '"' || r == '\'' || + r == '(' || r == ')' || r == '[' || r == ']' || + r == '{' || r == '}' || r == '。' || r == '，' || + r == '！' || r == '？' || r == '；' || r == '：' || + r == '、' || r == '‘' || r == '’' || r == '“' || r == '”' +} + +func isDigit(s string) bool { + for _, r := range s { + if r < '0' || r > '9' { + if r < 0xFF10 || r > 0xFF19 { // 全角数字 + return false + } + } + } + return len(s) > 0 +} + +// inferHeads 基于 POS 序列的规则式依存头推断。 +// 动词通常作为根（head=0），名词依附于动词，形容词依附于名词。 +func (p *ONNXParser) inferHeads(tokens []string, pos []string) []int { + n := len(tokens) + heads := make([]int, n) + + // 找到第一个动词作为根 + rootIdx := -1 + for i, tag := range pos { + if tag == "VERB" { + rootIdx = i + break + } + } + if rootIdx < 0 { + rootIdx = 0 + } + heads[rootIdx] = 0 + + for i := 0; i < n; i++ { + if i == rootIdx { + continue + } + switch pos[i] { + case "NOUN", "PROPN": + // 名词指向最近的动词或前一个名词 + if i < rootIdx { + heads[i] = rootIdx + } else { + heads[i] = rootIdx + } + case "ADJ", "ADV": + // 修饰语指向前一个名词或动词 + if i > 0 { + heads[i] = i - 1 + } else { + heads[i] = rootIdx + } + case "NUM", "DET": + // 限定词指向前一个名词 + if i > 0 { + heads[i] = i - 1 + } else { + heads[i] = rootIdx + } + case "PUNCT": + heads[i] = rootIdx + default: + heads[i] = rootIdx + } + } + return heads +} + +// inferRels 基于 POS 对的关系标签推断。 +func (p *ONNXParser) inferRels(tokens []string, pos []string, heads []int) []string { + n := len(tokens) + rels := make([]string, n) + for i := 0; i < n; i++ { + if heads[i] == 0 { + rels[i] = "ROOT" + continue + } + h := heads[i] + if h < 0 || h >= n { + rels[i] = "dep" + continue + } + rels[i] = posToRel(pos[h], pos[i]) + } + return rels +} + +func posToRel(headPOS, depPOS string) string { + switch { + case depPOS == "NOUN" || depPOS == "PROPN": + return "nsubj" + case depPOS == "ADJ": + return "amod" + case depPOS == "ADV": + return "advmod" + case depPOS == "NUM" || depPOS == "DET": + return "det" + case depPOS == "VERB": + return "xcomp" + case depPOS == "PUNCT": + return "punct" + default: + return "dep" + } } diff --git a/internal/nlp/parser.go b/internal/nlp/parser.go index ef3a44a..c3a591e 100644 --- a/internal/nlp/parser.go +++ b/internal/nlp/parser.go @@ -1,12 +1,30 @@ package nlp -import "gitcode.com/JianFeeeee/HomeAgent/internal/memory/vector" +import ( + "sort" + + "gitcode.com/JianFeeeee/HomeAgent/internal/memory/vector" +) // Parser 依存句法分析器接口 type Parser interface { Parse(text string) (*ParseResult, error) } +// defaultParser 包级默认解析器，由 SetDefaultParser 设置 +var defaultParser Parser + +// SetDefaultParser 设置包级默认解析器。 +// 设置后，NewExtractor(nil) 将使用此解析器而非纯降级模式。 +func SetDefaultParser(p Parser) { + defaultParser = p +} + +// GetDefaultParser 返回当前包级默认解析器 +func GetDefaultParser() Parser { + return defaultParser +} + // Vectorizer 向量化接口，复用 memory/vector 或 memory/static_embedder type Vectorizer interface { Vectorize(text string) vector.Vector @@ -19,8 +37,13 @@ type Extractor struct { embedder Vectorizer // 可选：用于 TransE 语义验证 } -// NewExtractor 创建提取器，parser 为 nil 时纯用 fallback +// NewExtractor 创建提取器。 +// parser 为 nil 时尝试使用包级默认解析器 (SetDefaultParser)， +// 若仍未设置则纯用 fallback (POS 模板匹配)。 func NewExtractor(parser Parser) *Extractor { + if parser == nil { + parser = defaultParser + } return &Extractor{ parser: parser, fallack: newFallbackParser(), @@ -32,9 +55,11 @@ func (e *Extractor) SetEmbedder(ev Vectorizer) { e.embedder = ev } -// Extract 从文本中提取三元组 -// 优先使用 parser，失败/无结果时自动降级到 fallback -// 如果设置了 embedder，还会做 h+r≈t 向量验证过滤 +// Extract 从文本中提取三元组（完整四阶段流水线） +// Phase 1: 句法解析（LTP 分词 → POS 标注 → 依存句法树） +// Phase 2: 结构初筛（依存模板 / POS 模板 → 候选三元组 + syntax_conf） +// Phase 3: 语义验证（TransE h+r≈t → vector_conf） +// Phase 4: 融合裁决（线性加权 → 阈值截断 → 降序输出） func (e *Extractor) Extract(text string) *TripleSet { if text == "" { return &TripleSet{Src: "", Err: nil} @@ -50,11 +75,11 @@ func (e *Extractor) Extract(text string) *TripleSet { } var triples []Triple - // 主线：依存解析 + 模板匹配 + // ——— Phase 1 & 2: 句法解析 + 结构初筛 ——— if e.parser != nil { result, err := e.parser.Parse(sentence) if err == nil && result != nil && len(result.Tokens) > 1 { - triples = extractFromDep(result) + triples = extractFromDep(result, sentence) if len(triples) > 0 { src = "dep_parser" } @@ -65,18 +90,23 @@ func (e *Extractor) Extract(text string) *TripleSet { if len(triples) == 0 && e.fallack != nil { result, err := e.fallack.Parse(sentence) if err == nil && result != nil && len(result.Tokens) > 1 { - triples = extractFromPOS(result) + triples = extractFromPOS(result, sentence) if len(triples) > 0 { src = "fallback" } } } - // 向量验证（可选）：用 h+r≈t 过滤不合理三元组 + // ——— Phase 3: 语义验证 (TransE h+r≈t) ——— if len(triples) > 0 && e.embedder != nil { triples = verifyTriples(triples, e.embedder) } + // ——— Phase 4: 融合裁决 ——— + if len(triples) > 0 { + triples = fuseTriples(triples) + } + allTriples = append(allTriples, triples...) } @@ -86,10 +116,15 @@ func (e *Extractor) Extract(text string) *TripleSet { return &TripleSet{Src: src} } -// verifyTriples 使用 TransE 打分 (h+r≈t) 验证三元组，过滤低分项 +// ——— Phase 3: 语义验证 ——— + +// verifyTriples 使用 TransE 打分 (h+r≈t) 计算 vector_conf +// 输入：候选三元组（带 syntax_conf） +// 处理：cos(h+r, t) → vector_conf +// 输出：带 vector_conf 的候选三元组 func verifyTriples(triples []Triple, embedder Vectorizer) []Triple { - var kept []Triple - for _, t := range triples { + for i := range triples { + t := &triples[i] h := embedder.Vectorize(t.Subject) r := embedder.Vectorize(t.Relation) tv := embedder.Vectorize(t.Object) @@ -97,18 +132,55 @@ func verifyTriples(triples []Triple, embedder Vectorizer) []Triple { hr := addVectors(h, r) sim := vector.CosineSimilarity(hr, tv) - // 语义一致性过低 → 过滤（除非 fallback 无其他候选） - if sim >= 0.25 { - t.Score *= (0.5 + 0.5*sim) + // 将 cos 映射到 [0, 1] 区间（原始可能在 [-1, 1]） + t.VectorConf = (sim + 1.0) / 2.0 + } + return triples +} + +// ——— Phase 4: 融合裁决 ——— + +const ( + fusionAlpha = 0.4 // syntax_conf 权重 + fusionBeta = 0.6 // vector_conf 权重 + fusionThreshold = 0.3 // 最终阈值 +) + +// fuseTriples 融合裁决：线性加权计算 final_score，截断阈值，降序输出 +// 输入：候选三元组（带 syntax_conf + vector_conf） +// 处理：final_score = α * syntax_conf + β * vector_conf +// 输出：通过阈值且降序排列的最终三元组 +func fuseTriples(triples []Triple) []Triple { + if len(triples) == 0 { + return triples + } + + // 计算 final_score 并更新 Score 字段 + for i := range triples { + t := &triples[i] + finalScore := fusionAlpha*t.Score + fusionBeta*t.VectorConf + t.Score = finalScore + } + + // 截断低分项 + kept := make([]Triple, 0, len(triples)) + for _, t := range triples { + if t.Score >= fusionThreshold { kept = append(kept, t) } } - if len(kept) == 0 { - return triples - } + + // 降序排列 + sort.Slice(kept, func(i, j int) bool { + return kept[i].Score > kept[j].Score + }) + return kept } +// ——— 向量工具 ——— + +// addVectors 向量加法 (h + r) func addVectors(a, b vector.Vector) vector.Vector { out := make(vector.Vector) for k, v := range a { @@ -118,4 +190,4 @@ func addVectors(a, b vector.Vector) vector.Vector { out[k] += v } return out -} +} \ No newline at end of file diff --git a/tools/deploy/homeagent.service b/tools/deploy/homeagent.service deleted file mode 100644 index 706e885..0000000 --- a/tools/deploy/homeagent.service +++ /dev/null @@ -1,13 +0,0 @@ -[Unit] -Description=HomeAgent - 24/7 AI Butler -After=network.target - -[Service] -Type=simple -ExecStart=/usr/local/bin/homed -data /home/newqqagent -Restart=always -RestartSec=10 -Environment=HOME=/root - -[Install] -WantedBy=multi-user.target