---
name: realtime-stream-ingestion-521bc070bc78
description: 用于行情/交易/事件流的实时流数据接入原子 skill，适用于通用行业数据接入场景。
---

# 实时流数据接入 Skill

## 数据来源

本 Skill 支持多种实时流数据输入格式，核心数据来源包括：

### 1. 实时流类型
- **行情流**：股票行情、期货行情、外汇行情
- **交易流**：交易数据流、订单数据流
- **事件流**：实时事件流、监控事件流
- **其他实时流**：日志流、指标流

### 2. 数据源类型
- **消息队列**：Kafka、RabbitMQ、RocketMQ等
- **WebSocket**：WebSocket实时数据流
- **API接口**：实时API、流式API
- **数据库**：实时数据库、时序数据库

### 3. 数据格式要求
- **连接信息**：消息队列连接信息、WebSocket地址
- **认证信息**：用户名密码、API密钥、Token
- **订阅配置**：数据订阅配置、过滤规则
- **数据格式**：实时数据格式和编码方式

### 4. 实时流特征
- **数据频率**：高频数据（毫秒级）、中频数据（秒级）
- **数据规模**：小规模数据、大规模数据
- **数据实时性**：实时数据、近实时数据
- **数据连续性**：连续数据流、离散数据流

> 说明：本 Skill 不包含数据源配置功能，需要用户提供实时流连接信息。建议实时流稳定可靠，以便进行准确的实时数据接入。

---

## 功能

本 Skill 提供全面的实时流数据接入能力，涵盖多种接入功能：

### 1. 实时流连接
- **连接管理**：管理实时流连接
- **连接验证**：验证实时流连接
- **连接监控**：监控实时流状态
- **连接优化**：优化连接性能

### 2. 数据订阅
- **主题订阅**：订阅数据主题
- **过滤订阅**：基于条件过滤订阅
- **多主题订阅**：订阅多个数据主题
- **动态订阅**：动态调整订阅配置

### 3. 实时接收
- **实时接收**：实时接收数据流
- **流式处理**：流式处理数据
- **缓冲处理**：缓冲处理数据
- **背压处理**：处理数据背压

### 4. 数据解析
- **数据解析**：解析实时数据格式
- **数据分类**：对数据进行分类
- **数据标签**：为数据添加标签
- **数据提取**：提取数据关键信息

### 5. 数据处理
- **数据过滤**：过滤不需要的数据
- **数据转换**：转换数据格式
- **数据聚合**：聚合相关数据
- **数据采样**：采样数据流

### 6. 高级处理功能
- **数据存储**：存储实时数据
- **数据索引**：建立数据索引
- **数据查询**：支持数据查询功能
- **接入报告**：生成数据接入报告

---

## 使用示例

### 输出示例
```json
{
  "source_info": {
    "source_type": "websocket",
    "source_name": "market_data_stream",
    "endpoint": "ws://market.example.com/stream",
    "data_type": "stock_quotes"
  },
  "ingestion_config": {
    "subscription_mode": "subscribe",
    "symbols": ["000001", "000002", "600519"],
    "update_frequency": "real_time",
    "buffer_size": 1000
  },
  "ingestion_results": {
    "total_messages": 100000,
    "processed_messages": 99500,
    "failed_messages": 500,
    "ingestion_start_time": "2024-03-15T10:00:00",
    "ingestion_end_time": "2024-03-15T11:00:00",
    "duration": "3600s"
  },
  "data_samples": [
    {
      "message_id": "MSG001",
      "timestamp": "2024-03-15T10:00:00.123",
      "symbol": "000001",
      "data": {
        "price": 10.50,
        "volume": 1000000,
        "bid": 10.49,
        "ask": 10.51
      },
      "processed": true
    }
  ],
  "statistics": {
    "messages_received": 100000,
    "messages_processed": 99500,
    "messages_stored": 99500,
    "processing_rate": "27.6 messages/s",
    "success_rate": 0.995,
    "average_latency": "50ms"
  }
}
```

---

## 注意事项与限制

### 1. 实时流要求
- 实时流需要稳定可靠
- 连接信息需要准确
- 网络延迟需要控制

### 2. 实时处理性能
- 高频数据可能影响性能
- 需要优化处理流程
- 需要合理设置缓冲

### 3. 数据质量
- 实时数据质量影响处理结果
- 需要验证数据完整性
- 异常数据需要处理

### 4. 数据延迟
- 实时处理可能存在延迟
- 需要监控处理延迟
- 需要优化处理速度

### 5. 使用限制
- 本 Skill 不包含数据源管理功能
- 接入结果需要人工复核
- 复杂实时流可能需要特殊处理

---

## 参考资料
- 见 references/ 目录中的相关文档，包括：
  - 实时流数据接入方法手册
  - WebSocket配置指南
  - 实时处理策略说明
  - 性能优化指南


---
Source attribution: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/archive/realtime-stream-ingestion/SKILL.md
License: Apache-2.0
License information: https://www.apache.org/licenses/LICENSE-2.0
Original upstream instructions; downloaded from Mega AI Hub.

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# Mega AI Hub resource metadata

Creator / publisher: aifinlab
Original project: https://github.com/aifinlab/FinClaw/blob/9e62862d1412157fa03ffd1f0b74969dcf0ed66c/skills/archive/realtime-stream-ingestion/SKILL.md
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Fields of work: Development & Engineering
Roles: Backend Developer, Data Engineer, ML / AI Engineer
Specialties: API, Backend
Tools: Kafka, Rabbitmq, Rocketmq, Websocket
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Classification basis: Source catalog labels
Instruction SHA-256: ee9e296801b3146da659eef5bbd3996577fbb0b73a538073fa8b2e902d8411bd
