rebenitez1802 commented on code in PR #44681:
URL: https://github.com/apache/superset/pull/44681#discussion_r4160928234
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superset/mcp_service/dashboard/schemas.py:
##########
@@ -417,7 +421,16 @@ class DashboardChartSummary(BaseModel):
id: int | None = Field(None, description="Chart ID")
slice_name: str | None = Field(None, description="Chart name")
viz_type: str | None = Field(None, description="Visualization type")
- datasource_name: str | None = Field(None, description="Datasource name")
+ datasource_id: int | None = Field(
Review Comment:
🟡 Medium — `datasource_id` without `datasource_type`
`DashboardChartSummary` now has `datasource_id` but no `datasource_type`,
and a datasource id is only unique within its type. The fixture in this PR
gives a table and a semantic view the same id 1, so `get_dashboard_info` (and
generate/add/remove/duplicate dashboard) can return two charts with
`datasource_id: 1` that can't be told apart. A saved_query chart reports a
SavedQuery id. Matching by name doesn't work either: `get_dashboard_datasets`
names tables by bare `table_name`, while these summaries use
`schema.table_name`.
Fix: add the type next to the id, behind the same gate (`datasource_type` is
already in `CHART_DATA_MODEL_COLUMNS`):
```python
datasource_type: str | None = Field(
None,
description="Type of the datasource; datasource_id is only unique within
this type",
)
```
and in `serialize_chart_summary`:
```python
datasource_type=getattr(chart, "datasource_type", None)
if include_data_model_metadata
else None,
```
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