bito-code-review[bot] commented on code in PR #38403:
URL: https://github.com/apache/superset/pull/38403#discussion_r2980536775
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superset/mcp_service/chart/schemas.py:
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@@ -590,6 +590,111 @@ class MixedTimeseriesChartConfig(BaseModel):
filters: List[FilterConfig] | None = None
+class BigNumberChartConfig(BaseModel):
+ model_config = ConfigDict(extra="forbid")
+
+ chart_type: Literal["big_number"] = Field(
+ ...,
+ description=(
+ "Chart type discriminator - MUST be 'big_number'. "
+ "Creates Big Number charts that display a single prominent "
+ "metric value. Set show_trendline=True with a temporal_column "
+ "for a number with trendline, or leave show_trendline=False "
+ "for a standalone number."
+ ),
+ )
+ metric: ColumnRef = Field(
+ ...,
+ description=(
+ "The metric to display as a big number. "
+ "Must include an aggregate function (e.g., SUM, COUNT)."
+ ),
+ )
+ temporal_column: str | None = Field(
+ None,
+ description=(
+ "Temporal column for the trendline x-axis. "
+ "Required when show_trendline is True."
+ ),
+ min_length=1,
+ max_length=255,
+ pattern=r"^[a-zA-Z0-9_][a-zA-Z0-9_\s\-\.]*$",
+ )
+ time_grain: TimeGrain | None = Field(
+ None,
+ description=(
+ "Time granularity for trendline data. "
+ "Common values: PT1H (hour), P1D (day), P1W (week), "
+ "P1M (month), P1Y (year)."
+ ),
+ )
+ show_trendline: bool = Field(
+ False,
+ description=(
+ "Show a trendline below the big number. "
+ "Requires 'temporal_column' to be set."
+ ),
+ )
+ subheader: str | None = Field(
+ None,
+ description="Subtitle text displayed below the big number",
+ max_length=500,
+ )
+ y_axis_format: str | None = Field(
+ None,
+ description=(
+ "Number format string for the metric value "
+ "(e.g., '$,.2f' for currency, ',.0f' for integers, "
+ "'.2%' for percentages)"
+ ),
+ max_length=50,
+ )
+ start_y_axis_at_zero: bool = Field(
+ True,
+ description="Anchor trendline y-axis at zero",
+ )
+ compare_lag: int | None = Field(
+ None,
+ description=(
+ "Number of time periods to compare against. "
+ "Displays a percentage change vs the prior period."
+ ),
+ ge=1,
+ )
+ filters: list[FilterConfig] | None = Field(
+ None,
+ description="Filters to apply",
+ )
+
+ @model_validator(mode="after")
+ def validate_trendline_fields(self) -> "BigNumberChartConfig":
Review Comment:
<!-- Bito Reply -->
Yes, the suggestion is valid — changing the return type to Self follows
Pydantic v2 best practices for model validators, ensuring type safety and
self-referential returns.
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