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.
57 lines
3.9 KiB
XML
57 lines
3.9 KiB
XML
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<title id="loop-title">보류 반려 케이스의 주의 후보 피드백 루프</title>
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<desc id="loop-desc">증거 상태 표시와 케이스 판정을 분리하고 보류 반려 판정에서 주의 후보를 생성해 다음 제출의 내부 유사도 분석에 사용한 뒤 확정 DB 편입 또는 오탐 제외로 관리하는 흐름</desc>
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