Re: [D] 关于电网拓扑数据导入 [incubator-hugegraph]

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GitHub user dosubot[bot] added a comment to the discussion: 关于电网拓扑数据导入

<!-- Answer -->
是的，struct.json 里 "edges" 部分的 path 字段完全可以都指向你提供的 
`/loader/power_data/edge_connected_to.csv`，只要 field_mapping、source/target 
字段和顶点主键一致即可。每个 edgeLabel 的配置会从这个文件读取数据，Loader 会根据你在 struct.json 里配置的 
label、source、target、field_mapping 等信息，导入对应的边。

如果你的 edge_connected_to.csv 里包含了所有类型的边（比如不同类型的节点之间的连接），你可以在 struct.json 里为每个 
edgeLabel 分别配置一段，path 都指向同一个文件，然后用 selected 或 value_mapping 过滤出当前 edgeLabel 
需要的那部分数据。例如：

```json
{
  "label": "LineSegment2LineSegment",
  "source": ["from"],
  "target": ["to"],
  "input": {
    "type": "file",
    "path": "/loader/power_data/edge_connected_to.csv",
    "format": "CSV",
    "header": ["id", "from", "to", "label"]
  },
  "field_mapping": {
    "from": "id",
    "to": "id"
  },
  "selected": ["from", "to"],
  "value_mapping": {
    "label": {
      "CONNECTED_TO": "LineSegment2LineSegment"
    }
  }
}
```

如果你不区分 label，所有边都用同一个 edgeLabel（比如 CONNECTED_TO），那只需要配置一次即可。如果需要区分不同类型的边（比如 
Substation2LineSegment、LineSegment2StationHouse 等），建议在 edge_connected_to.csv 
里加一列类型，然后用 value_mapping 或 selected 过滤。

官方文档和社区案例都支持这种做法，只要配置正确，不需要拆成多个 CSV 
文件，方便后续扩展和维护。[参考](https://github.com/apache/incubator-hugegraph/issues/2749) 
[官方文档](https://github.com/apache/incubator-hugegraph-doc/blob/3e1c610281c91ea3a5c600b393088e9ffae34799/content/en/docs/quickstart/toolchain/hugegraph-loader.md#L323-L974)

如有 struct.json 配置疑问可以发出来，我可以帮你检查。


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