3f7b3a9cf2
Image rights / copyright detection system: SQLite store, HTTP app, search integrations (Naver, Google Custom Search, Google Cloud Vision web detection), image analysis (fingerprints, face/person detection, evidence enrichment, risk scoring), an admin/review layer, governance and retention policies, batch jobs, and a browser-based operator GUI. This baseline incorporates a full code-review remediation pass (46 fixes; 358 tests passing). Highlights: CRITICAL - Prevent evidence cascade-delete during the schema-constraint migration by disabling FK enforcement around the table rebuild. Security - Sandbox served media (neutralize stored XSS from uploaded/collected SVGs) via CSP + nosniff on the untrusted media routes. - Strip embedded EXIF/GPS from external image derivatives before they are sent to third-party APIs. - Return a clean 404 (not an uncaught StopIteration) for PATCH on an unknown provider. Correctness - LLM-summary failures no longer add +30 to the risk score. - Decode only explicit JS escapes so Korean image URLs are not mangled. - Consume search quota only after a successful request. - Naver/Google adapters map responses inside the failure boundary, so a malformed response degrades to evidence instead of crashing enrichment. - Domain-aware provider attribution; face-box IoU de-duplication; count searches (not result items); per-box crop isolation; clamp evidence confidence and Google CSE num; real submittedEpoch; and more. Robustness - Offline LLM connect fast-fails (short connect timeout) so seed/reload requests are not stalled; full read timeout preserved for generation. - Malformed numeric env vars fall back to defaults instead of crashing startup. Performance - Per-submission evidence reads (no full-table scan per rescore), audit-log LIMIT, lazy active-store lookup, hoisted timestamps. Tests - ~24 regression tests added pinning the above fixes. Runtime data (data/, outputs/, *.sqlite3, *.log), secrets (.env), and node_modules are gitignored.
31 lines
1 KiB
JavaScript
31 lines
1 KiB
JavaScript
(function attachSubmissionImportHelpers(global) {
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function importedFolderStatusMessage(payload, fallbackLabel) {
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const queueLabel = payload?.submissionQueue?.label || fallbackLabel;
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return `${payload?.imported ?? 0}건 가져옴 · ${queueLabel} 기준으로 로드됨`;
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}
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function importedSubmissionStatusMessage(payload, submissionId) {
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return `${payload?.imported ?? 0}건 추가됨 · ${submissionId} 선택됨`;
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}
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async function fileToImagePayload(file) {
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if (!file) return null;
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const bytes = new Uint8Array(await file.arrayBuffer());
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let binary = "";
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const chunkSize = 0x8000;
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for (let index = 0; index < bytes.length; index += chunkSize) {
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binary += String.fromCharCode(...bytes.subarray(index, index + chunkSize));
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}
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return {
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filename: file.name,
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content_type: file.type || "application/octet-stream",
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data: btoa(binary),
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};
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}
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global.OperatorSubmissionImport = {
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fileToImagePayload,
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importedFolderStatusMessage,
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importedSubmissionStatusMessage,
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};
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})(window);
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