mirror of
https://github.com/hanzoai/insights.git
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zeekay
1b367e2b62
The tree was a debranded snapshot of upstream taken around 2026-02-20, and upstream has moved about five months since. This replaces it with upstream master, mechanically re-derived: bin/debrand does the rename, and the pipeline and squashed migrations are restored from the shipped tree. Not a merge. The previous import replaced the tree wholesale in a single commit, so there is no shared content history to merge against. Reproducing the rename on the new tree is what actually converges. What survives: .hanzo/workflows, the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md, and insights/migrations. The squashed initial migration is load-bearing — the live database records it by name, so upstream's ~918 individual migrations cannot come back. Nine products are dropped as unreferenced. Twenty-one more that we do not run are kept anyway because the core app still imports them; unpicking those is a refactor and does not belong in a rebase. This base does not build yet, and the reasons are not in the rename: upstream now wants Python 3.13.13 against our 3.12.12 and Django 5.2 against our 4.2, and the dependency manifests still name upstream packages that we republish under our own names. Those are decisions, not renames.
137 lines
6.8 KiB
TypeScript
137 lines
6.8 KiB
TypeScript
import { useActions, useValues } from 'kea'
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import { Banner, Button, Modal } from '@hanzo/elements'
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import { CodeSnippet, Language } from 'lib/components/CodeSnippet'
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import { Markdown } from 'lib/elements/Markdown'
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import { Spinner } from 'lib/elements/Spinner'
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import { endpointSceneLogic } from './endpointSceneLogic'
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export function MaterializationSuggestionModal(): JSX.Element {
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const {
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materializationSuggestionModalOpen,
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materializationSuggestion,
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materializationSuggestionLoading,
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suggestionMatchesCurrentQuery,
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} = useValues(endpointSceneLogic)
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const { closeMaterializationSuggestionModal, applyMaterializationSuggestion, regenerateMaterializationSuggestion } =
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useActions(endpointSceneLogic)
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const suggestion = materializationSuggestion
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const hasValidatedSuggestion = suggestion?.suggestion_status === 'ok' && !!suggestion.suggested_query
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const suggestionFailed =
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suggestion?.suggestion_status === 'invalid' || suggestion?.suggestion_status === 'model_error'
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// The error banner already spells out the failed check — repeating it as context is noise
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const showBlocker = !(suggestionFailed && suggestion?.error === suggestion?.original_reason)
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return (
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<Modal
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isOpen={materializationSuggestionModalOpen}
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onClose={closeMaterializationSuggestionModal}
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title="Make this endpoint materializable"
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description="AI rewrites your query into an equivalent form that passes our materialization checks. Nothing is saved until you apply the changes and update the endpoint."
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width={768}
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footer={
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<>
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<Button type="secondary" onClick={closeMaterializationSuggestionModal}>
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Close
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</Button>
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<Button
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type="secondary"
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onClick={regenerateMaterializationSuggestion}
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loading={materializationSuggestionLoading}
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disabledReason={materializationSuggestionLoading ? 'Waiting for the suggestion' : undefined}
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tooltip="Ask the AI for a fresh rewrite, replacing this suggestion"
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>
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Regenerate
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</Button>
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<Button
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type="primary"
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onClick={applyMaterializationSuggestion}
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disabledReason={
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materializationSuggestionLoading
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? 'Waiting for the suggestion'
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: !hasValidatedSuggestion
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? 'No validated suggestion to apply'
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: suggestionMatchesCurrentQuery
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? 'Your query already matches this suggestion'
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: undefined
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}
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>
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Apply changes to query
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</Button>
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</>
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}
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>
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<div className="flex flex-col gap-3">
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{materializationSuggestionLoading ? (
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<div className="flex items-center gap-2 py-8 justify-center text-muted">
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<Spinner />
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<span>Analyzing your query against the materialization rules…</span>
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</div>
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) : suggestion ? (
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<>
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{showBlocker && (
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<p className="text-secondary text-sm mb-0">Current blocker: {suggestion.original_reason}</p>
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)}
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{suggestion.suggestion_status === 'ok' && suggestionMatchesCurrentQuery && (
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<Banner type="info">
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Your current query already matches this suggestion — there is nothing to apply. If you
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haven't saved yet, update the endpoint to create the new version.
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</Banner>
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)}
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{suggestion.suggestion_status === 'ok' && !suggestionMatchesCurrentQuery && (
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<>
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{suggestion.explanation && (
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<Markdown lowKeyHeadings disableImages>
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{suggestion.explanation}
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</Markdown>
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)}
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<CodeSnippet language={Language.SQL} wrap>
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{suggestion.suggested_query ?? ''}
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</CodeSnippet>
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<p className="text-muted text-xs mb-0">
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This rewrite passes the live materialization checks and keeps your variables
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unchanged. Review it carefully — applying it and saving creates a new version.
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</p>
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</>
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)}
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{suggestion.suggestion_status === 'cannot_fix' && (
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<Banner type="info">
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<Markdown lowKeyHeadings disableImages>
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{suggestion.explanation ||
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'No semantically equivalent rewrite exists for this query.'}
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</Markdown>
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</Banner>
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)}
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{suggestionFailed && (
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<>
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<Banner type="error">
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Couldn't produce a rewrite that passes the checks
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{suggestion.error ? `: ${suggestion.error}` : '.'}
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</Banner>
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{suggestion.suggested_query && (
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<>
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<p className="mb-0">
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Last attempt (did not pass validation — shown as a starting point):
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</p>
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<CodeSnippet language={Language.SQL} wrap>
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{suggestion.suggested_query}
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</CodeSnippet>
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</>
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)}
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</>
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)}
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</>
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) : (
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<Banner type="error">
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The suggestion request failed. Check that AI data processing is enabled for your organization,
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then try again.
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</Banner>
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)}
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</div>
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</Modal>
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)
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}
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