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cbcfd9599f
Snapshots all four versioned Docusaurus sections at v6.1.0. Built on top of the version-cutting tooling work in chore/docs-cut-6.1.0-versions so the snapshot benefits from: - Auto-gen refresh before snapshotting (database pages from engine spec metadata, API reference from openapi.json, component pages from Storybook stories) — captured at the SHA we cut from rather than whatever happened to be on disk. - Data-import freeze: country list, feature flag table, database diagnostics, and component metadata are copied into snapshot-local `_versioned_data/` dirs so the historical version doesn't silently mutate when the source files change. - Depth-aware import-path rewriter that handles deeply-nested component MDX files referencing `../../../src/` from the snapshot. Versioning behavior: `lastVersion` stays at `current` for every section, so the canonical URLs (`/docs/...`, `/admin-docs/...`, `/developer-docs/...`, `/components/...`) continue to render content from master. The `current` version is consistently labeled "Next" with an `unreleased` banner, and `6.1.0` is a historical pin accessible only via its explicit version segment. Component playground: previously `disabled: true` in versions-config.json, now enabled and versioned. The plugin block in docusaurus.config.ts was already gated only by the `disabled` flag, so no other code changes were needed to bring it back online. The frozen `databases.json` in the snapshot is the canonical 80-database artifact from the latest committed state in master (preserved by the generator's input-hash cache), not a fallback regenerated from a local Flask environment.
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919 B
JSON
2 lines
919 B
JSON
{"schema":{"properties":{"aggregates":{"description":"The keys are the name of the aggregate column to be created, and the values specify the details of how to apply the aggregation. If an operator requires additional options, these can be passed here to be unpacked in the operator call. The following numpy operators are supported: average, argmin, argmax, cumsum, cumprod, max, mean, median, nansum, nanmin, nanmax, nanmean, nanmedian, min, percentile, prod, product, std, sum, var. Any options required by the operator can be passed to the `options` object.\n\nIn the example, a new column `first_quantile` is created based on values in the column `my_col` using the `percentile` operator with the `q=0.25` parameter.","example":{"first_quantile":{"column":"my_col","operator":"percentile","options":{"q":0.25}}},"type":"object"}},"type":"object","title":"ChartDataAggregateOptionsSchema"},"schemaType":"response"}
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