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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.
32 lines
1.9 KiB
Plaintext
32 lines
1.9 KiB
Plaintext
---
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id: chartdataquerycontextschema
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title: "ChartDataQueryContextSchema"
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description: ""
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sidebar_label: "ChartDataQueryContextSchema"
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hide_title: true
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hide_table_of_contents: true
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schema: true
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sample: {"custom_cache_timeout":0,"datasource":{"type":"table"},"force":true,"queries":[{"annotation_layers":[{"annotationType":"FORMULA","color":"string","descriptionColumns":["string"],"hideLine":true,"intervalEndColumn":"string","name":"string","opacity":"","overrides":{},"show":true,"showLabel":true,"showMarkers":true,"sourceType":"","style":"dashed","timeColumn":"string","titleColumn":"string","width":0}],"applied_time_extras":{"__time_range":"1 year ago : now"},"apply_fetch_values_predicate":true,"columns":[null],"datasource":{"type":"table"},"extras":{"column_order":["string"],"having":"string","instant_time_comparison_range":"string","relative_end":"today","relative_start":"today","time_grain_sqla":"P1D","transpile_to_dialect":true,"where":"string"},"filters":[{"col":"country","grain":"PT1M","isExtra":true,"op":"IN","val":["China","France","Japan"]}],"granularity":"string","group_others_when_limit_reached":false,"groupby":[null],"is_rowcount":true,"is_timeseries":true,"metrics":[null],"order_desc":true,"orderby":[["my_col_1",false],["my_col_2",true]],"post_processing":[{"operation":"aggregate","options":{"aggregates":{"age_mean":{"column":"age","operator":"mean"},"age_q1":{"column":"age","operator":"percentile","options":{"q":0.25}}},"groupby":["country","gender"]}}],"row_limit":0,"row_offset":0,"series_columns":[null],"series_limit":0,"time_offsets":["string"],"time_range":"Last week","time_shift":"string","timeseries_limit":0,"url_params":{}}]}
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custom_edit_url: null
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---
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import Schema from "@theme/Schema";
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import Heading from "@theme/Heading";
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<Heading
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as={"h1"}
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className={"openapi__heading"}
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children={"ChartDataQueryContextSchema"}
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>
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</Heading>
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<Schema
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{...require("./chartdataquerycontextschema.Schema.json")}
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>
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</Schema>
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