Signed-off-by: TIANHE <TIANHE@GMAIL.COM>
This commit is contained in:
TIANHE
2025-12-30 21:14:30 +08:00
parent 50939212be
commit c451e16caa
5 changed files with 351 additions and 127 deletions
+68 -45
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@@ -126,57 +126,80 @@ QuantDinger 的多智能体不是“每次从零开始”。它内置了一个**
#### 逻辑图(从请求到记忆闭环)
```mermaid
flowchart TD
A[POST /api/analysis/multi] --> B[AnalysisService]
B --> C[AgentCoordinator]
flowchart TB
%% ===== 🌐 入口层 =====
subgraph Entry["🌐 API 入口"]
A["📡 POST /api/analysis/multi"]
A2["🔄 POST /api/analysis/reflect"]
end
C --> D[构建上下文: price/kline/news/indicators]
%% ===== ⚙️ 服务编排层 =====
subgraph Service["⚙️ 服务编排"]
B[AnalysisService]
C[AgentCoordinator]
D["📊 构建上下文<br/>price · kline · news · indicators"]
end
subgraph Agents[多智能体并行/串行工作流]
E1[MarketAnalyst]
E2[FundamentalAnalyst]
E3[NewsAnalyst]
E4[SentimentAnalyst]
E5[RiskAnalyst]
F1[BullResearcher]
F2[BearResearcher]
G[TraderAgent]
end
%% ===== 🤖 多智能体工作流 =====
subgraph Agents["🤖 多智能体工作流"]
C -->|Phase 1 并行| E1
C -->|Phase 1 并行| E2
C -->|Phase 1 并行| E3
C -->|Phase 1 并行| E4
C -->|Phase 1 并行| E5
C -->|Phase 2 并行| F1
C -->|Phase 2 并行| F2
C -->|Phase 3| G
subgraph P1["📈 Phase 1 · 多维分析(并行)"]
E1["🔍 MarketAnalyst<br/><i>技术面分析</i>"]
E2["📑 FundamentalAnalyst<br/><i>基本面分析</i>"]
E3["📰 NewsAnalyst<br/><i>新闻舆情</i>"]
E4["💭 SentimentAnalyst<br/><i>市场情绪</i>"]
E5["⚠️ RiskAnalyst<br/><i>风险评估</i>"]
end
subgraph MemDB[本地 SQLite 记忆库(按角色拆分)]
M1[(data/memory/market_analyst_memory.db)]
M2[(data/memory/fundamental_analyst_memory.db)]
M3[(data/memory/news_analyst_memory.db)]
M4[(data/memory/sentiment_analyst_memory.db)]
M5[(data/memory/risk_analyst_memory.db)]
M6[(data/memory/bull_researcher_memory.db)]
M7[(data/memory/bear_researcher_memory.db)]
M8[(data/memory/trader_agent_memory.db)]
end
subgraph P2["🎯 Phase 2 · 多空博弈(并行)"]
F1["🐂 BullResearcher<br/><i>看多论据</i>"]
F2["🐻 BearResearcher<br/><i>看空论据</i>"]
end
E1 <-->|get_memories / add_memory| M1
E2 <-->|get_memories / add_memory| M2
E3 <-->|get_memories / add_memory| M3
E4 <-->|get_memories / add_memory| M4
E5 <-->|get_memories / add_memory| M5
F1 <-->|get_memories / add_memory| M6
F2 <-->|get_memories / add_memory| M7
G <-->|get_memories / add_memory| M8
subgraph P3["💹 Phase 3 · 交易决策"]
G["🎰 TraderAgent<br/><i>综合研判 → BUY / SELL / HOLD</i>"]
end
C --> R[ReflectionService.record_analysis]
R --> RR[(data/memory/reflection_records.db)]
W[ReflectionWorker(可选,定时)] --> RR
W -->|到期验证 + 写回经验| M8
A2[POST /api/analysis/reflect(手动复盘)] -->|reflect_and_learn| M8
end
%% ===== 🧠 记忆层 =====
subgraph Memory["🧠 本地记忆库 SQLitedata/memory/"]
M1[("market_analyst")]
M2[("fundamental")]
M3[("news_analyst")]
M4[("sentiment")]
M5[("risk_analyst")]
M6[("bull_researcher")]
M7[("bear_researcher")]
M8[("trader_agent")]
end
%% ===== 🔄 反思闭环 =====
subgraph Reflect["🔄 反思闭环(可选)"]
R[ReflectionService]
RR[("reflection_records.db")]
W["⏰ ReflectionWorker"]
end
%% ===== 主流程 =====
A --> B --> C --> D
D --> P1 --> P2 --> P3
%% ===== 记忆读写 =====
E1 <-.-> M1
E2 <-.-> M2
E3 <-.-> M3
E4 <-.-> M4
E5 <-.-> M5
F1 <-.-> M6
F2 <-.-> M7
G <-.-> M8
%% ===== 反思流程 =====
C --> R --> RR
W --> RR
W -.->|"验证 + 学习"| M8
A2 -.->|"手动复盘"| M8
```
#### 1) 记忆是如何“注入提示词”的?