GitHub user dosubot[bot] edited a comment on 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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GitHub link:
https://github.com/apache/hugegraph/discussions/2917#discussioncomment-15193370
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