<?php
/**
 * POST /api/save-to-corpus.php
 *
 * Save tool output text into the user's CaveauAI corpus.
 * Uses dbnToolsBootCaveau() to call ClientRagPipeline directly via filesystem include.
 *
 * Request body (JSON, max 500 KB):
 *   title       string (required)
 *   content     string (required, min 30 chars)
 *   source_tool string (optional, slug)
 *   tags        string (optional, comma-separated)
 */

declare(strict_types=1);

require_once dirname(__DIR__) . '/includes/bootstrap.php';

dbnToolsRequireMethod('POST');
dbnToolsRequireAuth();

$user     = dbnToolsAuthenticatedUser();
$clientId = (int)($user['client_id'] ?? 0);
if ($clientId <= 0) {
    dbnToolsError('No linked CaveauAI workspace. Log in via the CaveauAI portal first.', 403, 'no_workspace');
}

$input      = dbnToolsJsonInput(500_000);
$title      = trim($input['title'] ?? '');
$content    = trim($input['content'] ?? '');
$sourceTool = substr(preg_replace('/[^a-z0-9\-_]/', '', strtolower($input['source_tool'] ?? '')), 0, 64) ?: null;
$rawTags    = trim($input['tags'] ?? '');
$tags       = json_encode(
    array_values(array_filter(array_map('trim', explode(',', $rawTags)))),
    JSON_UNESCAPED_UNICODE
);

if ($title === '') {
    dbnToolsError('title is required.', 400, 'bad_request');
}
if (strlen($content) < 30) {
    dbnToolsError('content too short (min 30 chars).', 400, 'bad_request');
}
if (strlen($content) > 2_000_000) {
    dbnToolsError('content exceeds 2 MB limit.', 400, 'too_large');
}

// Load CaveauAI platform (getDb, ClientRagPipeline, etc.)
dbnToolsBootCaveau();

try {
    $db = getDb();
} catch (Throwable $e) {
    dbnToolsError('CaveauAI database unavailable: ' . $e->getMessage(), 503, 'db_unavailable');
}

// Resolve default corpus for this client
$stmt = $db->prepare('SELECT id FROM client_corpora WHERE client_id = ? AND is_default = 1 LIMIT 1');
$stmt->execute([$clientId]);
$corpusId = (int)($stmt->fetchColumn() ?: 0);
if ($corpusId === 0) {
    dbnToolsError(
        'No default corpus found for your account. Set one up in the CaveauAI portal.',
        409,
        'no_corpus'
    );
}

$wordCount = str_word_count($content);

$ins = $db->prepare("
    INSERT INTO client_documents
      (client_id, corpus_id, title, source_type, content, category,
       tags, import_method, source_tool, word_count, status)
    VALUES (?, ?, ?, 'text', ?, 'tool-output', ?, 'tool_output', ?, ?, 'pending')
");
$ins->execute([$clientId, $corpusId, $title, $content, $tags, $sourceTool, $wordCount]);
$docId = (int)$db->lastInsertId();

try {
    $rag    = new ClientRagPipeline($clientId);
    $chunks = $rag->ingestDocument($docId);
} catch (Throwable $e) {
    // Document is saved but not indexed — mark error and return partial success
    $db->prepare("UPDATE client_documents SET status='error', error_message=? WHERE id=?")
       ->execute([$e->getMessage(), $docId]);
    dbnToolsError(
        'Saved to corpus but indexing failed: ' . $e->getMessage(),
        500,
        'index_failed',
        ['document_id' => $docId]
    );
}

dbnToolsRespond(['ok' => true, 'document_id' => $docId, 'chunks' => $chunks], 201);