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.
37 lines
1,007 B
JavaScript
37 lines
1,007 B
JavaScript
(function attachOperatorSearch(global) {
|
|
function formatQueryStatus(status) {
|
|
const labels = {
|
|
ok: "성공",
|
|
covered: "근거 있음",
|
|
empty: "결과 없음",
|
|
failed: "실패",
|
|
disabled: "중지",
|
|
skipped: "건너뜀",
|
|
pending: "대기",
|
|
not_run: "미실행",
|
|
};
|
|
return labels[status] || status || "미실행";
|
|
}
|
|
|
|
function formatQueryStrategy(strategy) {
|
|
const labels = {
|
|
google_title: "구글 페이지 제목 기반",
|
|
google_page_title: "구글 페이지 제목 기반",
|
|
submission_title: "제출 제목/파일명 기반",
|
|
submission_filename: "제출 제목/파일명 기반",
|
|
manual: "운영자 입력",
|
|
suggested: "추천 쿼리",
|
|
};
|
|
return labels[strategy] || strategy || "";
|
|
}
|
|
|
|
function normalizeManualSearchProvider(provider) {
|
|
return "naver";
|
|
}
|
|
|
|
global.OperatorSearch = {
|
|
formatQueryStatus,
|
|
formatQueryStrategy,
|
|
normalizeManualSearchProvider,
|
|
};
|
|
})(window);
|