Files
daveadmin 06d01a3bce feat(dashboard): add corpus dashboard at /dashboard/
Full private corpus dashboard for tools.dobetternorge.no users — each SSO
account gets an auto-provisioned CaveauAI tenant (clients row, corpus) on
first visit. Includes upload (file/paste/URL), RAG chat with SSE streaming
and citation chips, document CRUD, FalkorDB graph relations tab, and
improved save-from-tool flow with tag/preview support.

- dashboard/{index,documents,document,upload,chat,settings}.php
- api/dashboard/{corpus-init,documents,upload,ingest-status,chat-stream,
  save-from-tool,graph}.php
- includes/{CorpusProvision,layout_dashboard,layout_dashboard_footer}.php
- assets/css/dashboard.css  assets/js/corpus-save.js (routing upgrade)
- includes/{bootstrap,layout}.php extended for dashboard provisioning

Migration 141 (clients.dbn_sso_uid + import_method enum) applied on chloe.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-23 17:15:40 +02:00

137 lines
5.1 KiB
PHP

<?php
/**
* POST /api/dashboard/save-from-tool.php
*
* Improved successor to /api/save-to-corpus.php — adds:
* - tags as either CSV string or array
* - source_tool slug recorded as import provenance
* - chat-answer kind (records import_method='chat_answer')
* - preview flag: if true, returns the proposed chunks WITHOUT persisting (dry-run)
*
* Request body (JSON, max 2 MB):
* title: string (required)
* content: string (required, min 30 chars)
* source_tool: string (optional slug; default 'dashboard-save')
* tags: string[] | string CSV (optional, max 20 tags, 32 chars each)
* category: string (optional; default 'tool-output')
* language: string (optional; default 'no')
* author: string (optional)
* kind: 'tool_output'|'chat_answer'|'manual' (default 'tool_output')
* preview: bool (optional; if true, return chunk preview without saving)
*
* Response (saved):
* { ok, document_id, chunks, status }
* Response (preview):
* { ok, preview:true, chunks: [...], word_count }
*/
declare(strict_types=1);
require_once dirname(__DIR__, 2) . '/includes/bootstrap.php';
dbnToolsRequireMethod('POST');
dbnToolsRequireAuth();
try {
$tenant = dbnToolsEnsureDashboardTenant();
} catch (DbnToolsHttpException $e) {
dbnToolsError($e->getMessage(), $e->status, $e->errorCode);
}
$clientId = (int)$tenant['client_id'];
$corpusId = (int)$tenant['corpus_id'];
$input = dbnToolsJsonInput(2_000_000);
$title = trim((string)($input['title'] ?? ''));
if ($title === '') dbnToolsError('title is required.', 400, 'missing_title');
if (mb_strlen($title, 'UTF-8') > 500) dbnToolsError('title too long (max 500).', 422, 'title_too_long');
$content = trim((string)($input['content'] ?? ''));
if (mb_strlen($content, 'UTF-8') < 30) dbnToolsError('content too short (min 30 chars).', 400, 'content_too_short');
if (mb_strlen($content, 'UTF-8') > 1_900_000) dbnToolsError('content exceeds 2 MB.', 422, 'content_too_large');
$sourceTool = trim((string)($input['source_tool'] ?? 'dashboard-save'));
$sourceTool = substr(preg_replace('/[^a-z0-9\-_]/', '', strtolower($sourceTool)) ?: 'dashboard-save', 0, 64);
$rawTags = $input['tags'] ?? '';
$tagList = is_array($rawTags)
? array_map('strval', $rawTags)
: array_map('trim', explode(',', (string)$rawTags));
$tagList = array_values(array_filter(array_map(fn($t) => substr(trim($t), 0, 32), $tagList)));
$tagList = array_slice($tagList, 0, 20);
$tagsCsv = implode(',', $tagList);
$category = strtolower(trim((string)($input['category'] ?? 'tool-output')));
$category = substr(preg_replace('/[^a-z0-9\-_]/', '', $category) ?: 'tool-output', 0, 50);
$language = trim((string)($input['language'] ?? 'no')) ?: 'no';
$author = trim((string)($input['author'] ?? '')) ?: null;
$kind = (string)($input['kind'] ?? 'tool_output');
$importMethod = match ($kind) {
'chat_answer' => 'chat_answer',
'manual' => 'manual',
default => 'tool_output',
};
$preview = !empty($input['preview']);
$wordCount = str_word_count($content);
dbnToolsBootCaveau();
try {
if ($preview) {
require_once dbnToolsAiPortalRoot() . '/lib/ai/TextChunker.php';
$chunker = new TextChunker();
$chunks = $chunker->chunk($content);
$sample = array_slice($chunks, 0, 8);
dbnToolsRespond([
'ok' => true,
'preview' => true,
'word_count' => $wordCount,
'chunks' => array_map(fn($c) => [
'section_title' => (string)($c['section_title'] ?? ''),
'word_count' => (int)str_word_count((string)($c['content'] ?? '')),
'snippet' => mb_substr((string)($c['content'] ?? ''), 0, 240, 'UTF-8'),
], $sample),
'total_chunks' => count($chunks),
]);
}
$db = getDb();
$ins = $db->prepare("
INSERT INTO client_documents
(client_id, corpus_id, title, source_type, content, category, language,
tags, author, import_method, source_tool, word_count, status)
VALUES (?, ?, ?, 'text', ?, ?, ?, ?, ?, ?, ?, ?, 'pending')
");
$ins->execute([
$clientId, $corpusId, $title, $content, $category, $language,
$tagsCsv, $author, $importMethod, $sourceTool, $wordCount,
]);
$docId = (int)$db->lastInsertId();
$rag = new ClientRagPipeline($clientId);
$chunks = $rag->ingestDocument($docId);
dbnToolsRespond([
'ok' => true,
'document_id' => $docId,
'chunks' => (int)$chunks,
'status' => 'ready',
], 201);
} catch (Throwable $e) {
if (isset($docId)) {
try {
$db->prepare("UPDATE client_documents SET status='error', error_message=? WHERE id=?")
->execute([substr($e->getMessage(), 0, 1000), $docId]);
} catch (Throwable $ignored) { /* non-fatal */ }
dbnToolsError(
'Saved to corpus but indexing failed: ' . $e->getMessage(),
500, 'index_failed',
['document_id' => $docId]
);
}
dbnToolsError('Save failed: ' . $e->getMessage(), 500, 'save_failed');
}