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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.
2 lines
1.4 KiB
JSON
2 lines
1.4 KiB
JSON
{"schema":{"properties":{"confidence_interval":{"description":"Width of predicted confidence interval","example":0.8,"maximum":1,"minimum":0,"type":"number"},"monthly_seasonality":{"description":"Should monthly seasonality be applied. An integer value will specify Fourier order of seasonality, `None` will automatically detect seasonality.","example":false},"periods":{"description":"Time periods (in units of `time_grain`) to predict into the future","example":7,"type":"integer"},"time_grain":{"description":"Time grain used to specify time period increments in prediction. Supports [ISO 8601](https://en.wikipedia.org/wiki/ISO_8601#Durations) durations.","enum":["PT1S","PT5S","PT30S","PT1M","PT5M","PT10M","PT15M","PT30M","PT1H","PT6H","P1D","P1W","P1M","P3M","P1Y","1969-12-28T00:00:00Z/P1W","1969-12-29T00:00:00Z/P1W","P1W/1970-01-03T00:00:00Z","P1W/1970-01-04T00:00:00Z"],"example":"P1D","type":"string"},"weekly_seasonality":{"description":"Should weekly seasonality be applied. An integer value will specify Fourier order of seasonality, `None` will automatically detect seasonality.","example":false},"yearly_seasonality":{"description":"Should yearly seasonality be applied. An integer value will specify Fourier order of seasonality, `None` will automatically detect seasonality.","example":false}},"required":["confidence_interval","periods","time_grain"],"type":"object","title":"ChartDataProphetOptionsSchema"},"schemaType":"response"}
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