龍魂·創新引擎 鯤鵬服務器集成補丁

本文檔描述如何將「窮則思變創新引擎」集成到鯤鵬(ARM64/aarch64)部署方案中

一、架構總覽

                    鯤鵬服務器 (ARM64/aarch64)
    ┌──────────────────────────────────────────────────┐
    │                                                   │
    │   ┌──────────────┐     ┌──────────────────┐      │
    │   │  人格路由     │────▶│  龍魂創新引擎     │      │
    │   │  (Router)    │     │  (Innovation)    │      │
    │   └──────────────┘     └──────────────────┘      │
    │          │                      │                │
    │          ▼                      ▼                │
    │   ┌──────────────┐     ┌──────────────────┐      │
    │   │  CNSH運行時   │◀───▶│  四態狀態機      │      │
    │   │  (Runtime)   │     │  (Qióng→Jiǔ)   │      │
    │   └──────────────┘     └──────────────────┘      │
    │          │                                        │
    │          ▼                                        │
    │   ┌────────────────────────────────────┐         │
    │   │         監控面板 (Grafana)          │         │
    │   │  balance_index | consensus_rate    │         │
    │   └────────────────────────────────────┘         │
    └──────────────────────────────────────────────────┘

組件關係

組件 角色 與創新引擎的關係
人格路由 請求分發 將低置信度請求導入創新引擎
CNSH運行時 核心執行 調用 state_machine.step() 推動狀態
龍魂創新引擎 瓶頸突破 檢測窮狀態，觸發變，追踪通，穩定久
Grafana 監控面板 展示四態指標和五行平衡指數

二、Docker Compose 配置

新增服務

# docker-compose.yml - 鯤鵬部署配置
version: "3.8"

services:
  # ── 原有服務 ──
  # cns-runtime:
  #   ...

  # personality-router:
  #   ...

  # ── 新增: 龍魂創新引擎 ──
  dragon-innovation:
    image: dragon-soul/innovation-engine:latest
    container_name: dragon_innovation
    platform: linux/arm64/v8  # 鯤鵬指定
    restart: unless-stopped

    # 零外部依賴，基礎Python鏡像即可
    build:
      context: ./innovation-engine
      dockerfile: Dockerfile
      args:
        - PYTHON_VERSION=3.11
        - TARGETARCH=arm64

    environment:
      # ── 核心配置 ──
      - INNOVATION_ENGINE_ENABLED=true
      - INNOVATION_AUTO_TRIGGER=true
      - INNOVATION_LOG_LEVEL=INFO

      # ── 窮狀態閾值 ──
      - QIONG_CONFIDENCE_LOW=0.40
      - QIONG_CONFIDENCE_FAIL_STREAK=3
      - QIONG_BALANCE_INDEX_MIN=20.0
      - QIONG_HUMAN_WEIGHT_MIN=0.34
      - QIONG_INPUT_STAGNANT_SEC=30.0

      # ── 變狀態參數 ──
      - BIAN_SPLIT_MAX_DEPTH=5
      - BIAN_MAX_UNCONVENTIONAL_TRIES=10
      - BIAN_CROSS_AUDIT_THRESHOLD=0.65

      # ── 通狀態參數 ──
      - TONG_VALIDATION_PASS_RATE=0.80
      - TONG_MIN_CONSENSUS_RATIO=0.70

      # ── 久狀態參數 ──
      - JIU_STABLE_CYCLES_REQUIRED=5
      - JIU_TEMPLATE_CONFIDENCE=0.90

      # ── 與人格路由的聯動 ──
      - ROUTER_LOW_CONFIDENCE_ROUTE=innovation
      - ROUTER_HUMAN_WEIGHT_ALERT_THRESHOLD=0.34

      # ── 與CNSH運行時的聯動 ──
      - CNSH_CONTEXT_ENDPOINT=http://cns-runtime:8080/context
      - CNSH_FEEDBACK_ENDPOINT=http://cns-runtime:8080/feedback
      - CNSH_STEP_INTERVAL_MS=1000

      # ── 監控 ──
      - METRICS_PORT=9090
      - METRICS_PATH=/metrics
      - METRICS_FORMAT=prometheus

    ports:
      - "9090:9090"   # Prometheus指標端口
      - "9091:9091"   # gRPC服務端口

    volumes:
      - innovation-data:/data/innovation
      - ./innovation-engine/config:/app/config:ro

    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:9090/health"]
      interval: 10s
      timeout: 5s
      retries: 3
      start_period: 15s

    # 鯤鵬資源限制
    deploy:
      resources:
        limits:
          cpus: '2.0'
          memory: 512M
        reservations:
          cpus: '0.5'
          memory: 128M

    networks:
      - dragon-net

  # ── 新增: 監控指標收集器 ──
  innovation-metrics:
    image: prom/prometheus:latest
    container_name: innovation_metrics
    platform: linux/arm64/v8
    restart: unless-stopped

    volumes:
      - ./monitoring/prometheus.yml:/etc/prometheus/prometheus.yml:ro
      - prometheus-data:/prometheus

    command:
      - '--config.file=/etc/prometheus/prometheus.yml'
      - '--storage.tsdb.path=/prometheus'
      - '--storage.tsdb.retention.time=30d'
      - '--web.enable-lifecycle'
      - '--web.console.libraries=/etc/prometheus/console_libraries'
      - '--web.console.templates=/etc/prometheus/consoles'

    ports:
      - "9092:9090"

    networks:
      - dragon-net

  # ── 新增: Grafana面板 ──
  innovation-grafana:
    image: grafana/grafana:latest
    container_name: innovation_grafana
    platform: linux/arm64/v8
    restart: unless-stopped

    environment:
      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD:-dragon}
      - GF_USERS_ALLOW_SIGN_UP=false
      - GF_SERVER_ROOT_URL=http://localhost:9093
      - GF_INSTALL_PLUGINS=grafana-clock-panel

    volumes:
      - ./monitoring/grafana/dashboards:/etc/grafana/provisioning/dashboards:ro
      - ./monitoring/grafana/datasources:/etc/grafana/provisioning/datasources:ro
      - grafana-data:/var/lib/grafana

    ports:
      - "9093:3000"

    networks:
      - dragon-net

# ── 存儲卷 ──
volumes:
  innovation-data:
    driver: local
  prometheus-data:
    driver: local
  grafana-data:
    driver: local

networks:
  dragon-net:
    driver: bridge
    ipam:
      config:
        - subnet: 172.28.0.0/16

三、Dockerfile

# Dockerfile - 鯤鵬(ARM64/aarch64)構建
ARG PYTHON_VERSION=3.11
FROM python:${PYTHON_VERSION}-slim-bullseye

# 鯤鵬架構標記
LABEL architecture="arm64/aarch64"
LABEL engine="龍魂·窮則思變創新引擎"
LABEL version="1.0.0"

# 安裝系統依賴（極簡，零Python外部依賴）
RUN apt-get update && apt-get install -y --no-install-recommends \
    curl \
    && rm -rf /var/lib/apt/lists/*

# 創建應用目錄
WORKDIR /app

# 複製引擎代碼
COPY 窮則思變創新引擎.py /app/engine.py

# 創建啟動腳本
RUN echo '#!/bin/bash\n\
python3 /app/engine.py "$@"\n\
' > /app/entrypoint.sh && chmod +x /app/entrypoint.sh

# 健康檢查端點
RUN echo '#!/usr/bin/env python3\n\
import http.server\n\
import socketserver\n\
from engine import DragonSoulRuntime\n\
\n\
class HealthHandler(http.server.BaseHTTPRequestHandler):\n\
    runtime = DragonSoulRuntime()\n\
    def do_GET(self):\n\
        if self.path == "/health":\n\
            self.send_response(200)\n\
            self.send_header("Content-type", "text/plain")\n\
            self.end_headers()\n\
            self.wfile.write(b"OK\\n")\n\
        elif self.path == "/metrics":\n\
            metrics = self.runtime.get_prometheus_metrics()\n\
            self.send_response(200)\n\
            self.send_header("Content-type", "text/plain")\n\
            self.end_headers()\n\
            self.wfile.write(metrics.encode())\n\
        else:\n\
            self.send_response(404)\n\
            self.end_headers()\n\
\n\
if __name__ == "__main__":\n\
    PORT = int(os.environ.get("METRICS_PORT", "9090"))\n\
    with socketserver.TCPServer(("", PORT), HealthHandler) as httpd:\n\
        print(f"Metrics server on port {PORT}")\n\
        httpd.serve_forever()\n\
' > /app/metrics_server.py

EXPOSE 9090 9091

HEALTHCHECK --interval=10s --timeout=5s --retries=3 \
    CMD curl -f http://localhost:9090/health || exit 1

ENTRYPOINT ["/app/entrypoint.sh"]
CMD ["--demo"]

四、環境變量配置

核心變量

變量名 默認值 說明
INNOVATION_ENGINE_ENABLED true 啟用創新引擎
INNOVATION_AUTO_TRIGGER true 自動觸發模式
INNOVATION_LOG_LEVEL INFO 日誌級別

窮狀態閾值

變量名 默認值 鐵律 說明
QIONG_CONFIDENCE_LOW 0.40 否 置信度低線
QIONG_CONFIDENCE_FAIL_STREAK 3 否 連續低置信度次數
QIONG_BALANCE_INDEX_MIN 20.0 否 五行平衡指數最低值
QIONG_HUMAN_WEIGHT_MIN 0.34 是 Human權重鐵律線，低於此值強制進入窮
QIONG_INPUT_STAGNANT_SEC 30.0 否 輸入停滯超時秒數

變狀態參數

變量名 默認值 說明
BIAN_SPLIT_MAX_DEPTH 5 問題拆分最大深度
BIAN_MAX_UNCONVENTIONAL_TRIES 10 非常規解法最大嘗試次數
BIAN_CROSS_AUDIT_THRESHOLD 0.65 左右互搏共識閾值

通狀態參數

變量名 默認值 說明
TONG_VALIDATION_PASS_RATE 0.80 驗證通過率要求
TONG_MIN_CONSENSUS_RATIO 0.70 最低共識比例

久狀態參數

變量名 默認值 說明
JIU_STABLE_CYCLES_REQUIRED 5 進入久態所需穩定週期數
JIU_TEMPLATE_CONFIDENCE 0.90 模板標準化置信度

聯動參數

變量名 默認值 說明
ROUTER_LOW_CONFIDENCE_ROUTE innovation 低置信度請求路由目標
ROUTER_HUMAN_WEIGHT_ALERT_THRESHOLD 0.34 Human權重告警閾值
CNSH_CONTEXT_ENDPOINT - CNSH運行時上下文接口
CNSH_FEEDBACK_ENDPOINT - CNSH運行時反饋接口
CNSH_STEP_INTERVAL_MS 1000 步進間隔毫秒

監控參數

變量名 默認值 說明
METRICS_PORT 9090 Prometheus指標端口
METRICS_PATH /metrics 指標訪問路徑
METRICS_FORMAT prometheus 指標輸出格式

五、與人格路由的聯動

5.1 人格路由配置

# router_config.py - 人格路由配置示例

INNOVATION_TRIGGER_RULES = {
    # 置信度低於閾值時，將請求導入創新引擎
    "low_confidence": {
        "threshold": 0.40,
        "action": "route_to_innovation",
        "timeout_sec": 60,
    },

    # Human權重鐵律檢查
    "human_weight_check": {
        "iron_rule": 0.34,  # 不可違反
        "action_if_violated": "force_innovation",
        "alert_level": "critical",
    },

    # 輸入停滯檢測
    "input_stagnation": {
        "threshold_sec": 30,
        "action": "trigger_bian",
    },

    # 所有解法嘗試失敗
    "all_solutions_failed": {
        "action": "enter_qiong_state",
        "max_retry": 3,
    },
}

# 人格路由到創新引擎的接口
class RouterToInnovationAdapter:
    """人格路由 → 創新引擎 適配器"""

    def __init__(self, innovation_endpoint="http://dragon-innovation:9091"):
        self.endpoint = innovation_endpoint

    def on_low_confidence(self, context):
        """置信度低時調用"""
        return self._call_innovation({
            "event": "low_confidence",
            "context": context,
            "priority": "high",
        })

    def on_human_weight_violation(self, weight):
        """Human權重違反鐵律時調用"""
        return self._call_innovation({
            "event": "human_weight_violation",
            "human_weight": weight,
            "iron_rule": 0.34,
            "priority": "critical",
        })

    def _call_innovation(self, payload):
        """調用創新引擎"""
        import urllib.request
        import json

        req = urllib.request.Request(
            f"{self.endpoint}/trigger",
            data=json.dumps(payload).encode("utf-8"),
            headers={"Content-Type": "application/json"},
        )
        try:
            with urllib.request.urlopen(req, timeout=10) as resp:
                return json.loads(resp.read().decode())
        except Exception as e:
            return {"status": "error", "message": str(e)}

5.2 聯動流程圖

用戶請求
    │
    ▼
┌──────────────┐
│   人格路由    │
│  (分析階段)   │
└──────────────┘
    │
    ├── 置信度 < 0.40 ─────────────────┐
    │                                   ▼
    │                          ┌──────────────────┐
    │                          │  龍魂創新引擎     │
    │                          │  進入窮狀態      │
    │                          └──────────────────┘
    │                                   │
    ├── Human權重 < 0.34 ──────────────┤
    │  (鐵律違反)                       ▼
    │                          ┌──────────────────┐
    │                          │  強制觸發變      │
    │                          │  (critical)      │
    │                          └──────────────────┘
    │                                   │
    ├── 所有解法失敗 ──────────────────┤
    │                                   ▼
    │                          ┌──────────────────┐
    │                          │  啟動拆分+互搏   │
    │                          └──────────────────┘
    │                                   │
    │                                   ▼
    │                          ┌──────────────────┐
    │  正常處理 ◀──────────────│  通/久 狀態     │
    │  (置信度OK)              │  返回標準答案   │
    │                          └──────────────────┘
    ▼
┌──────────────┐
│   正常響應    │
└──────────────┘

六、與CNSH運行時的聯動

6.1 CNSH運行時接口

# cnsh_integration.py - CNSH運行時集成

from 窮則思變創新引擎 import (
    InnovationStateMachine,
    DragonSoulRuntime,
    Context,
    OutputRouter,
)


class CNSHInnovationAdapter:
    """
    CNSH運行時 ↔ 龍魂創新引擎 適配器

    CNSH運行時每個處理週期調用此適配器，
    將運行時上下文轉換為創新引擎的輸入。
    """

    def __init__(self):
        self.runtime = DragonSoulRuntime()
        self.step_counter = 0

    def on_cnsh_step(self, cnsh_context: dict) -> dict:
        """
        CNSH運行時步進回調

        Args:
            cnsh_context: CNSH運行時提供的上下文，包含:
                - confidence: float 當前置信度
                - human_weight: float Human權重
                - balance_index: float 平衡指數
                - raw_input: str 原始輸入
                - attempted_solutions: List[str] 已嘗試解法

        Returns:
            dict: 創新引擎的反饋，包含狀態和建議動作
        """
        # 轉換上下文
        ctx = Context(
            confidence=cnsh_context.get("confidence", 0.5),
            human_weight=cnsh_context.get("human_weight", 0.5),
            balance_index=cnsh_context.get("balance_index", 50.0),
            last_input_time=cnsh_context.get("timestamp", time.time()),
            problem_signature=cnsh_context.get("signature", ""),
            attempted_solutions=cnsh_context.get("attempted_solutions", []),
            raw_input=cnsh_context.get("raw_input", ""),
        )

        # 推動狀態機
        transition = self.runtime.state_machine.step(ctx)

        # 構建反饋
        feedback = {
            "current_state": self.runtime.state_machine.state,
            "transition": {
                "from": transition.from_state,
                "to": transition.to_state,
                "reason": transition.trigger_reason,
            },
            "balance": self.runtime.state_machine.balancer.to_dict(),
            "should_reroute": transition.to_state in ["變", "窮"],
            "output_type": "innovation" if transition.to_state == "變" else "standard",
        }

        # 如果進入變狀態，觸發完整處理
        if transition.to_state == "變":
            output = self.runtime.process(ctx.raw_input, audience="internal")
            feedback["innovation_output"] = output.to_dict()

        self.step_counter += 1
        return feedback

    def get_metrics(self) -> str:
        """獲取Prometheus格式指標"""
        return self.runtime.get_prometheus_metrics()

    def force_innovation(self, problem: str) -> dict:
        """強制觸發創新流程"""
        # 強制進入變狀態
        transition = self.runtime.state_machine.force_bian("CNSH強制觸發")
        output = self.runtime.process(problem, audience="internal")
        return {
            "transition": transition.to_dict(),
            "output": output.to_dict(),
        }

6.2 CNSH配置示例

# cnsh-config.yml - CNSH運行時配置

runtime:
  name: "CNSH-鯤鵬"
  architecture: "arm64"

  # 創新引擎聯動
  innovation_engine:
    enabled: true
    endpoint: "http://dragon-innovation:9091"
    trigger_conditions:
      - type: "confidence_low"
        threshold: 0.40
        streak: 3
      - type: "human_weight_violation"
        iron_rule: 0.34
      - type: "balance_critical"
        threshold: 20.0

    # 每個週期調用創新引擎
    step_integration:
      mode: "per_cycle"
      feed_context: true
      receive_feedback: true

    # 狀態映射
    state_mapping:
      qiong: "瓶颈检测"
      bian: "创新触发"
      tong: "突破确认"
      jiu: "稳定输出"

  # 反饋迴路
  feedback_loop:
    enabled: true
    source: "innovation_engine"
    target: "personality_router"
    update_interval_sec: 5

七、監控指標與Grafana面板

7.1 Prometheus指標端點

創新引擎在 http://dragon-innovation:9090/metrics 暴露以下指標：

# HELP innovation_total_steps 創新引擎總步數
# TYPE innovation_total_steps counter
innovation_total_steps 42

# HELP innovation_state_count 各狀態進入次數
# TYPE innovation_state_count counter
innovation_state_count{state="窮"} 8
innovation_state_count{state="變"} 8
innovation_state_count{state="通"} 7
innovation_state_count{state="久"} 5

# HELP innovation_balance_index 五行平衡指數 (0-100)
# TYPE innovation_balance_index gauge
innovation_balance_index 67.5

# HELP innovation_weakest_element_value 最弱五行元素值
# TYPE innovation_weakest_element_value gauge
innovation_weakest_element_value{element="水"} 12.5

# HELP innovations_found_total 發現的創新數量
# TYPE innovations_found_total counter
innovations_found_total 5

# HELP cross_audit_consensus_rate 左右互搏共識率
# TYPE cross_audit_consensus_rate gauge
cross_audit_consensus_rate 0.72

# HELP innovation_uptime_seconds 引擎運行時間(秒)
# TYPE innovation_uptime_seconds gauge
innovation_uptime_seconds 3600

7.2 Grafana面板JSON

保存到 monitoring/grafana/dashboards/dragon-innovation.json：

{
  "dashboard": {
    "title": "龍魂·創新引擎監控面板",
    "tags": ["dragon", "innovation", "鯤鵬"],
    "timezone": "Asia/Shanghai",
    "schemaVersion": 36,
    "refresh": "5s",

    "panels": [
      {
        "id": 1,
        "title": "當前狀態",
        "type": "stat",
        "targets": [
          {
            "expr": "innovation_state_count",
            "legendFormat": "{{state}}"
          }
        ],
        "fieldConfig": {
          "defaults": {
            "mappings": [
              { "options": { "0": { "text": "窮" } }, "type": "value" },
              { "options": { "1": { "text": "變" } }, "type": "value" },
              { "options": { "2": { "text": "通" } }, "type": "value" },
              { "options": { "3": { "text": "久" } }, "type": "value" }
            ]
          }
        },
        "gridPos": { "h": 4, "w": 6, "x": 0, "y": 0 }
      },

      {
        "id": 2,
        "title": "五行平衡指數",
        "type": "gauge",
        "targets": [
          {
            "expr": "innovation_balance_index",
            "legendFormat": "平衡指數"
          }
        ],
        "fieldConfig": {
          "defaults": {
            "min": 0,
            "max": 100,
            "thresholds": {
              "mode": "absolute",
              "steps": [
                { "color": "red", "value": 0 },
                { "color": "yellow", "value": 20 },
                { "color": "green", "value": 50 },
                { "color": "dark-green", "value": 80 }
              ]
            },
            "unit": "none"
          }
        },
        "gridPos": { "h": 8, "w": 8, "x": 6, "y": 0 }
      },

      {
        "id": 3,
        "title": "狀態轉換次數",
        "type": "timeseries",
        "targets": [
          {
            "expr": "innovation_state_count",
            "legendFormat": "{{state}}"
          }
        ],
        "fieldConfig": {
          "defaults": {
            "color": {
              "mode": "palette-classic"
            }
          }
        },
        "gridPos": { "h": 8, "w": 10, "x": 14, "y": 0 }
      },

      {
        "id": 4,
        "title": "左右互搏共識率",
        "type": "gauge",
        "targets": [
          {
            "expr": "cross_audit_consensus_rate",
            "legendFormat": "共識率"
          }
        ],
        "fieldConfig": {
          "defaults": {
            "min": 0,
            "max": 1,
            "thresholds": {
              "mode": "absolute",
              "steps": [
                { "color": "red", "value": 0 },
                { "color": "yellow", "value": 0.5 },
                { "color": "green", "value": 0.65 },
                { "color": "dark-green", "value": 0.8 }
              ]
            },
            "unit": "percentunit"
          }
        },
        "gridPos": { "h": 8, "w": 8, "x": 0, "y": 8 }
      },

      {
        "id": 5,
        "title": "發現的創新數量",
        "type": "timeseries",
        "targets": [
          {
            "expr": "innovations_found_total",
            "legendFormat": "累計創新"
          }
        ],
        "gridPos": { "h": 8, "w": 8, "x": 8, "y": 8 }
      },

      {
        "id": 6,
        "title": "引擎運行時間",
        "type": "stat",
        "targets": [
          {
            "expr": "innovation_uptime_seconds",
            "legendFormat": "運行時間"
          }
        ],
        "fieldConfig": {
          "defaults": {
            "unit": "dtdurations"
          }
        },
        "gridPos": { "h": 4, "w": 8, "x": 16, "y": 8 }
      },

      {
        "id": 7,
        "title": "Human權重監控 (鐵律 0.34)",
        "type": "timeseries",
        "targets": [
          {
            "expr": "cnsh_human_weight < 0.34",
            "legendFormat": "違反鐵律"
          }
        ],
        "fieldConfig": {
          "defaults": {
            "thresholds": {
              "steps": [
                { "color": "green", "value": 0.34 },
                { "color": "red", "value": 0 }
              ]
            }
          }
        },
        "gridPos": { "h": 8, "w": 24, "x": 0, "y": 16 }
      }
    ]
  }
}

7.3 Prometheus配置

# monitoring/prometheus.yml

global:
  scrape_interval: 5s
  evaluation_interval: 5s

scrape_configs:
  - job_name: 'dragon-innovation'
    static_configs:
      - targets: ['dragon-innovation:9090']
    metrics_path: '/metrics'
    scrape_interval: 5s

  - job_name: 'cns-runtime'
    static_configs:
      - targets: ['cns-runtime:8080']
    metrics_path: '/metrics'

  - job_name: 'personality-router'
    static_configs:
      - targets: ['personality-router:8080']
    metrics_path: '/metrics'

7.4 Grafana數據源配置

# monitoring/grafana/datasources/prometheus.yml

apiVersion: 1

datasources:
  - name: Prometheus
    type: prometheus
    access: proxy
    url: http://innovation-metrics:9090
    isDefault: true
    editable: false

八、部署步驟

8.1 鯤鵬服務器準備

# 1. 確認架構
uname -m  # 應輸出 aarch64

# 2. 安裝 Docker (鯤鵬版)
curl -fsSL https://get.docker.com | sh
systemctl enable docker
systemctl start docker

# 3. 安裝 Docker Compose
pip3 install docker-compose

# 4. 確認Docker支持ARM64
docker info | grep Architecture  # 應顯示 aarch64

8.2 部署創新引擎

# 1. 創建項目目錄
mkdir -p /opt/dragon-soul/innovation-engine
cd /opt/dragon-soul/innovation-engine

# 2. 複製引擎文件
cp 窮則思變創新引擎.py .

# 3. 創建目錄結構
mkdir -p monitoring/prometheus
mkdir -p monitoring/grafana/dashboards
mkdir -p monitoring/grafana/datasources
mkdir -p config

# 4. 寫入配置文件
cat > monitoring/prometheus.yml << 'EOF'
global:
  scrape_interval: 5s
scrape_configs:
  - job_name: 'dragon-innovation'
    static_configs:
      - targets: ['dragon-innovation:9090']
EOF

cat > monitoring/grafana/datasources/prometheus.yml << 'EOF'
apiVersion: 1
datasources:
  - name: Prometheus
    type: prometheus
    access: proxy
    url: http://innovation-metrics:9090
    isDefault: true
EOF

# 5. 啟動服務
docker-compose up -d

# 6. 驗證部署
docker-compose ps
curl http://localhost:9090/health
curl http://localhost:9090/metrics

# 7. 查看日誌
docker-compose logs -f dragon-innovation

8.3 驗證清單

檢查項 命令 預期結果
服務狀態 docker-compose ps 全部 Up
健康檢查 curl localhost:9090/health OK
指標輸出 curl localhost:9090/metrics 包含 innovation_ 前綴指標
Prometheus curl localhost:9092/targets dragon-innovation 狀態 UP
Grafana 訪問 localhost:9093 登入後可見面板

九、故障排除

常見問題

問題 原因 解決方案
容器無法啟動 架構不匹配 確認 platform: linux/arm64/v8
指標無法收集 端口衝突 檢查 9090 端口是否被佔用
狀態機不轉換 閾值設置過高 降低 QIONG_CONFIDENCE_LOW
互搏共識率低 審計太嚴格 調整 BIAN_CROSS_AUDIT_THRESHOLD
內存佔用高 歷史記錄累積 減小 MAX_HISTORY 配置

十、API接口文檔

10.1 內部gRPC接口

// innovation.proto
syntax = "proto3";

package dragon.innovation;

service InnovationEngine {
  // 單步推進
  rpc Step(StepRequest) returns (StepResponse);

  // 強制觸發變
  rpc ForceBian(ForceRequest) returns (ForceResponse);

  // 獲取報告
  rpc GetReport(ReportRequest) returns (ReportResponse);

  // 獲取指標
  rpc GetMetrics(MetricsRequest) returns (MetricsResponse);

  // 流式監控
  rpc StreamMetrics(StreamRequest) returns (stream MetricsResponse);
}

message StepRequest {
  float confidence = 1;
  float human_weight = 2;
  float balance_index = 3;
  string raw_input = 4;
  repeated string attempted_solutions = 5;
}

message StepResponse {
  string from_state = 1;
  string to_state = 2;
  string trigger_reason = 3;
  float current_balance_index = 4;
  map<string, float> five_elements = 5;
}

message ForceRequest {
  string reason = 1;
  string problem = 2;
}

message ForceResponse {
  bool success = 1;
  string new_state = 2;
  string transition_id = 3;
}

message ReportRequest {
  bool include_history = 1;
}

message ReportResponse {
  string current_state = 1;
  int32 total_steps = 2;
  int32 innovations_found = 3;
  map<string, int32> state_distribution = 4;
  string json_report = 5;
}

message MetricsRequest {}

message MetricsResponse {
  string prometheus_text = 1;
  int64 timestamp = 2;
}

message StreamRequest {
  int32 interval_seconds = 1;
}

DNA簽名

═══════════════════════════════════════════════
  龍魂·窮則思變變則通通則久 集成補丁
  版本: 1.0.0
  架構: ARM64/aarch64 (鯤鵬)
  簽名: 窮則變·變則通·通則久
  序列: 龍-002-鯤鵬補丁
  適配: 人格路由 + CNSH運行時 + Grafana
═══════════════════════════════════════════════
# 算法 # 网络 # 人工智能 # 科技 # 开发语言
Logo
鲲鹏昇腾开发者社区是面向全社会开放的“联接全球计算开发者，聚合华为+生态”的社区，内容涵盖鲲鹏、昇腾资源，帮助开发者快速获取所需的知识、经验、软件、工具、算力，支撑开发者易学、好用、成功，成为核心开发者。

鲲鹏昇腾开发者社区是面向全社会开放的“联接全球计算开发者，聚合华为+生态”的社区，内容涵盖鲲鹏、昇腾资源，帮助开发者快速获取所需的知识、经验、软件、工具、算力，支撑开发者易学、好用、成功，成为核心开发者。

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