zhanghongyu_0626
1ddd44a6cb
- Introduced `MYSQL_CORE_DATABASE` in `.env.example` and `settings.py` for core database configuration. - Added `CoreReadOnlyRepository` for read-only access to the `jinrong_core` database. - Updated `AGENTS.md`, `README.md`, and various documentation files to reflect new agent onboarding processes and project structure. - Revised requirements in `requirements.txt` to include `langgraph` and `langchain-core`. - Enhanced `FLOW.md` with local bootstrap instructions for setting up the core simulation environment. - Added new scripts for database creation and seeding for the core simulation library. - Improved overall documentation for clarity on project architecture and memory management. - Updated `TODO.md` to reflect current development priorities and tasks.
120 lines
3.8 KiB
Markdown
120 lines
3.8 KiB
Markdown
# 实现流程
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> To-Be 端到端链路；As-Is 见 `ENVIRONMENT.md`
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> 画像分层见 `docs/项目框架设计/表设计/00-架构总览.md`
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------
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## 0. 本地 bootstrap（新环境 / 新 Agent）
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```text
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前置：MySQL 8、Redis、Neo4j Desktop、Ollama(bge-m3) 已安装并启动
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① 配置
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cp .env.example .env
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必填：MYSQL_PASSWORD、NEO4J_PASSWORD、DEEPSEEK_API_KEY（对话阶段）
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② 依赖
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pip install -r requirements.txt
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③ Core 模拟库（L0）
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.\scripts\core\reset.ps1
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→ 创建 jinrong_core + 28 客户 / 12 产品 / 持仓交易种子
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④ Agent 共用底座（若库未建）
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mysql -u root -p < docs/项目框架设计/表设计/01-mysql-共用底座.sql
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⑤ 同步
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python scripts/sync/sync_advisor_rel.py → customer_advisor_rel
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python scripts/sync/sync_neo4j.py → 关系图
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⑥ 验证
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uvicorn app.main:app --reload
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GET http://127.0.0.1:8000/health → {"status":"ok"}
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（可选）Python 调 CoreReadOnlyRepository.get_customer_l0("CUST-10001")
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RBAC 联调账号：scripts/dev/rbac-seed-reference.md
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```
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**尚未自动化：** agent 专用表 SQL、Milvus 建 Collection、JWT 中间件 — 见 `TODO.md`。
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------
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## 1. 链路总览（目标）
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```text
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Client → Gateway(JWT/RBAC) → api/chat → agent_service(LangGraph) → Tools → 存储 → 响应 + audit_log
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```
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当前：`main.py` 仅 health；全链路待 Wave 0 起逐步挂载。
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------
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## 2. 主链路 · 对话
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```text
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输入：Authorization + X-Agent-Type + X-Trace-Id + 用户消息
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↓
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Gateway：验签、角色准入、注入 AuthContext 【待做 T-01】
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↓
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api/chat：SessionGuard；创建/续 agent_session 【待做】
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↓
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memory_service：Redis 读最近 N 轮；异步写 agent_message 【待做】
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↓
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agent_service：LangGraph StateGraph + DeepSeek；按 Agent 类型选 Tool 节点 【待做】
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↓
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Tool 示例：
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- CoreReadOnlyRepository：持仓/流水/L0（自动注入 customer_id） 【Repository 已有，Tool 未接】
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- milvus_tool：产品规则 RAG + source_refs 【待做】
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- memory_service：读/写 L1/L2/L3（ProfileGuard） 【待做】
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- 风控 service 账号：R-02 适当性（无会话） 【待做】
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↓
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输出：assistant 消息 + has_disclaimer（客户/对外）
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↓
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落库：agent_message、agent_tool_call、audit_log（同 trace_id）
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```
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------
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## 3. 主链路 · 知识库入库
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```text
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admin/knowledge 上传 → document_parser → embedding_tool(Ollama bge-m3)
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→ milvus_tool 写入 Collection（dim=1024）
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→ 元数据可选写 MySQL；原文件存 data/kb/
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```
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------
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## 4. 分支 · 四 Agent
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| X-Agent-Type | 写画像 | 特殊 |
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| --- | --- | --- |
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| customer | L1 | 仅本人；读 suitability 本人 |
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| advisor | L2 | customer_advisor_rel 校验 |
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| analyst | 无 | 仅 SELECT SQL |
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| risk | L3、预警、适当性 | R-02 可 blocked |
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------
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## 5. 每步 I/O
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| 步骤 | 输入 | 输出 | 约定 |
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| --- | --- | --- | --- |
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| 鉴权 | JWT | AuthContext | 失败 401/403 + audit |
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| 会话 | session_id | Redis ctx + MySQL session | actor_id 一致 |
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| RAG | question + product_id? | chunks + source_doc_id | 必须溯源 |
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| 画像读 | customer_id | L1/L2/L3 JSON | RBAC 矩阵 §8 |
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| Core RO | customer_id | L0/持仓/流水 | 只读 jinrong_core |
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| 审计 | 任意判定 | audit_log INSERT | 不可删改 |
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------
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## 6. 关键数据约定
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- Agent 库 SQL：`docs/项目框架设计/表设计/01-mysql-共用底座.sql`、`02-mysql-agent专用.sql`
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- Core 模拟：`scripts/core/01-ddl.sql` · 说明 `docs/项目框架设计/Core模拟底座/01-表结构与种子说明.md`
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- Redis Key：`docs/项目框架设计/表设计/02-redis-keys.md`
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- Milvus：`kb_product_rules`、`kb_business_ops`；向量 **1024** 维
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- 禁止：Agent 覆盖 L0 正式 C1~C5
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