diff --git a/backend/pom.xml b/backend/pom.xml index e7503c6..e1e2786 100644 --- a/backend/pom.xml +++ b/backend/pom.xml @@ -27,6 +27,8 @@ org.springframework.bootspring-boot-starter-aop org.mybatis.spring.bootmybatis-spring-boot-starter${mybatis.version} org.postgresqlpostgresql${postgresql.version} + + org.duckdbduckdb_jdbc1.1.3 io.jsonwebtokenjjwt-api${jjwt.version} io.jsonwebtokenjjwt-impl${jjwt.version}runtime io.jsonwebtokenjjwt-jackson${jjwt.version}runtime diff --git a/backend/src/main/java/com/zioinfo/mall/ai/MallAiService.java b/backend/src/main/java/com/zioinfo/mall/ai/MallAiService.java index 57d5d05..ff3a880 100644 --- a/backend/src/main/java/com/zioinfo/mall/ai/MallAiService.java +++ b/backend/src/main/java/com/zioinfo/mall/ai/MallAiService.java @@ -1,5 +1,7 @@ package com.zioinfo.mall.ai; +import com.zioinfo.mall.ai.service.AiTextRouter; +import com.zioinfo.mall.common.ai.TextAiClient.GenResult; import com.zioinfo.mall.inventory.mapper.StoreInventoryMapper; import com.zioinfo.mall.product.MallProduct; import com.zioinfo.mall.product.mapper.ProductMapper; @@ -22,11 +24,20 @@ import java.util.*; @RequiredArgsConstructor public class MallAiService { - private final OllamaClient ollama; + private final AiTextRouter aiRouter; // provider 라우팅(Claude↔Ollama) + infer 로그. 실패 시 아래 Java 폴백. private final ProductMapper productMapper; private final ReviewMapper reviewMapper; private final StoreInventoryMapper storeInventoryMapper; + /** + * 선택된 provider(Claude/Ollama)로 텍스트 생성. degraded/빈응답이면 빈 문자열 반환 → + * 각 기능의 기존 결정론적 Java 폴백이 그대로 동작(무회귀). + */ + private String aiGenerate(String prompt) { + GenResult r = aiRouter.generate(prompt); + return (r != null && !r.degraded() && r.text() != null) ? r.text() : ""; + } + /** 1. 상품 추천 — 행사/키워드 기반. AI 실패 시 인기/평점 폴백. */ public List recommend(String occasion, String keyword, int limit) { List pool = productMapper.search(null, keyword, "ON_SALE", occasion, null, null, "sales", 30, 0); @@ -37,7 +48,7 @@ public class MallAiService { String prompt = "You are a florist recommender. From this catalog: [" + names + "]. " + "Recommend up to " + limit + " bouquets for occasion='" + (occasion == null ? "any" : occasion) + "' keyword='" + (keyword == null ? "" : keyword) + "'. Reply ONLY product names comma-separated."; - String ai = ollama.generate(prompt); + String ai = aiGenerate(prompt); if (ai != null && !ai.isBlank()) { List ordered = reorderByAi(pool, ai); if (!ordered.isEmpty()) return ordered.subList(0, Math.min(limit, ordered.size())); @@ -58,7 +69,7 @@ public class MallAiService { } String prompt = "Summarize these flower bouquet reviews in 2 concise sentences (pros/cons):\n" + String.join("\n", contents); - String ai = ollama.generate(prompt); + String ai = aiGenerate(prompt); if (ai != null && !ai.isBlank()) { out.put("summary", ai); out.put("source", "ollama"); @@ -89,7 +100,7 @@ public class MallAiService { public String csAutoReply(String subject, String content) { String prompt = "You are a polite flower-shop customer support agent. Write a short helpful reply (<=4 sentences) to:\n" + "Subject: " + subject + "\nMessage: " + content; - String ai = ollama.generate(prompt); + String ai = aiGenerate(prompt); if (ai != null && !ai.isBlank()) return ai; return "Thank you for reaching out about \"" + subject + "\". We're sorry for any inconvenience. " + "Our team is reviewing your request and will follow up shortly. " @@ -121,7 +132,7 @@ public class MallAiService { } String prompt = "Compose a creative 'Daily Standard' bouquet name and 1-line description using surplus flowers: [" + String.join(", ", surplus) + "]. Reply as: NAME | DESCRIPTION."; - String ai = ollama.generate(prompt); + String ai = aiGenerate(prompt); if (ai != null && !ai.isBlank()) { out.put("bouquet", ai); out.put("source", "ollama"); @@ -165,7 +176,7 @@ public class MallAiService { String prompt = "Write 3 short flower-card messages for occasion='" + occasion + "' tone='" + (tone == null ? "warm" : tone) + "' recipient='" + (recipient == null ? "" : recipient) + "'. One per line, no numbering."; - String ai = ollama.generate(prompt); + String ai = aiGenerate(prompt); if (ai != null && !ai.isBlank()) { List lines = new ArrayList<>(); for (String l : ai.split("\n")) { diff --git a/backend/src/main/java/com/zioinfo/mall/ai/OllamaClient.java b/backend/src/main/java/com/zioinfo/mall/ai/OllamaClient.java index c2d14a7..b7965ac 100644 --- a/backend/src/main/java/com/zioinfo/mall/ai/OllamaClient.java +++ b/backend/src/main/java/com/zioinfo/mall/ai/OllamaClient.java @@ -30,10 +30,23 @@ public class OllamaClient { this.model = model; } - @SuppressWarnings("unchecked") + /** 기본 모델(guardia.ollama-text-model)로 생성. 실패 시 빈 문자열. */ public String generate(String prompt) { + return generateText(prompt, model); + } + + /** + * 지정 모델로 평문 생성(AiTextRouter 의 Ollama 경로·Claude 폴백 공용 진입점). + * + *

모델 미지정 시 서버 기본(guardia.ollama-text-model). localhost Ollama 만 호출하며, + * 장애/오프라인/타임아웃 시 예외 없이 빈 문자열 반환(호출자가 폴백 수행). [GUARDiA-MALL] + */ + @SuppressWarnings("unchecked") + public String generateText(String prompt, String reqModel) { + if (prompt == null || prompt.isBlank()) return ""; + String useModel = (reqModel == null || reqModel.isBlank()) ? model : reqModel.trim(); try { - Map body = Map.of("model", model, "prompt", prompt, "stream", false); + Map body = Map.of("model", useModel, "prompt", prompt, "stream", false); Map res = builder.baseUrl(ollamaUrl).build() .post().uri("/api/generate").bodyValue(body) .retrieve().bodyToMono(Map.class) @@ -43,7 +56,7 @@ public class OllamaClient { Object r = res.get("response"); return r == null ? "" : String.valueOf(r).trim(); } catch (Exception e) { - log.warn("Ollama 일시 불가 — Java 폴백 사용: {}", e.getMessage()); + log.warn("Ollama 일시 불가 — Java 폴백 사용: {}", e.getClass().getSimpleName()); return ""; } } diff --git a/backend/src/main/java/com/zioinfo/mall/ai/controller/AiConfigController.java b/backend/src/main/java/com/zioinfo/mall/ai/controller/AiConfigController.java new file mode 100644 index 0000000..9ad0abd --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/controller/AiConfigController.java @@ -0,0 +1,54 @@ +package com.zioinfo.mall.ai.controller; + +import com.zioinfo.mall.admin.AuditService; +import com.zioinfo.mall.ai.dto.AiConfigDto; +import com.zioinfo.mall.ai.dto.AiConfigUpdateRequest; +import com.zioinfo.mall.ai.service.AiConfigService; +import com.zioinfo.mall.common.ApiResponse; +import lombok.RequiredArgsConstructor; +import org.springframework.web.bind.annotation.GetMapping; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.PutMapping; +import org.springframework.web.bind.annotation.RequestBody; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RestController; + +/** + * AI 플랫폼(LLM provider) 설정 관리(ADMIN). [GUARDiA-MALL] + * SecurityConfig {@code /api/admin/ai-config/** hasRole(ADMIN)} 게이트로 보호된다. + * + *

mall_setting(key='ai.*')에 저장된 런타임 설정을 조회/갱신/테스트한다. API 키는 환경변수 + * (ANTHROPIC_API_KEY)로만 주입되어 응답·로그에 노출되지 않는다(GET 은 {@code claudeKeySet} 불리언만). + * 설정 변경은 재기동 없이 다음 AI 호출부터 반영된다. + * + *

    + *
  • GET /api/admin/ai-config 현재 효과 설정(키 값 제외, keySet 불리언만)
    • + *
  • PUT /api/admin/ai-config provider/모델 갱신(화이트리스트 검증)
    • + *
  • POST /api/admin/ai-config/test 저장 설정 기준 선택 provider 연결 테스트(요약 결과만)
    • + *
+ */ +@RestController +@RequestMapping("/api/admin/ai-config") +@RequiredArgsConstructor +public class AiConfigController { + + private final AiConfigService service; + + @GetMapping + public ApiResponse get() { + return ApiResponse.ok(service.getConfig()); + } + + @PutMapping + public ApiResponse update(@RequestBody AiConfigUpdateRequest req) { + return ApiResponse.ok(service.update(req, AuditService.currentActor())); + } + + @PostMapping("/test") + public ApiResponse test() { + AiConfigService.TestResult result = service.test(); + return result.ok() + ? ApiResponse.ok(result) + : new ApiResponse<>(false, result.message(), result); + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/ai/controller/AiFeedbackController.java b/backend/src/main/java/com/zioinfo/mall/ai/controller/AiFeedbackController.java new file mode 100644 index 0000000..fb622bd --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/controller/AiFeedbackController.java @@ -0,0 +1,106 @@ +package com.zioinfo.mall.ai.controller; + +import com.zioinfo.mall.ai.learning.MallLearningStore; +import com.zioinfo.mall.common.ApiResponse; +import com.zioinfo.mall.rag.RagProperties; +import lombok.RequiredArgsConstructor; +import lombok.extern.slf4j.Slf4j; +import org.springframework.security.core.Authentication; +import org.springframework.web.bind.annotation.PostMapping; +import org.springframework.web.bind.annotation.RequestBody; +import org.springframework.web.bind.annotation.RequestMapping; +import org.springframework.web.bind.annotation.RestController; +import org.springframework.web.reactive.function.client.WebClient; + +import java.time.Duration; +import java.util.LinkedHashMap; +import java.util.Map; + +/** + * AI 답변 피드백 수집 API — {@code POST /api/ai/feedback} (인증 사용자). [GUARDiA-MALL] + * + *

👍/👎(+교정)을 둘 다 기록한다: + *

    + *
  1. 로컬 임베디드 DuckDB({@link MallLearningStore#recordFeedback}) — 솔루션별 오프라인 학습셋(PII 마스킹).
    2. + *
  2. 중앙 guardia-rag 학습 서비스({@code {rag.base-url}/feedback}, 온프레미스 루프백) — 통합 학습·평가 게이트.
    3. + *
+ * + *

불변: 중앙 전달 실패는 예외 미전파(로컬 기록은 유지). 응답에 키·PII·스택트레이스 미노출. + * 외부 호출 금지 — 중앙 rag 는 서버 내부 루프백(127.0.0.1:8020)이다. + */ +@Slf4j +@RestController +@RequestMapping("/api/ai/feedback") +@RequiredArgsConstructor +public class AiFeedbackController { + + private final MallLearningStore learningStore; + private final WebClient.Builder webClientBuilder; + private final RagProperties ragProps; + + @PostMapping + public ApiResponse> feedback(@RequestBody Map req, Authentication auth) { + String feature = str(req.get("feature")); + String question = str(req.get("question")); + String answer = str(req.get("answer")); + String verdict = normVerdict(str(req.get("verdict"))); + String correction = str(req.get("correction")); + String userRef = auth != null ? auth.getName() : null; + + // 1) 로컬 DuckDB 기록(PII 마스킹, 내결함성) + learningStore.recordFeedback(feature, question, answer, verdict, correction, userRef); + + // 2) 중앙 guardia-rag 전달(온프레미스 루프백, 실패해도 무시) + boolean forwarded = forwardCentral(feature, question, answer, verdict, correction, userRef); + + Map out = new LinkedHashMap<>(); + out.put("storedLocal", learningStore.isEnabled()); + out.put("forwardedCentral", forwarded); + out.put("verdict", verdict); + return ApiResponse.ok(out); + } + + /** POST {rag.base-url}/feedback — solution=mall 격리. 실패 시 false(예외 미전파). */ + @SuppressWarnings("unchecked") + private boolean forwardCentral(String feature, String question, String answer, + String verdict, String correction, String userRef) { + if (!ragProps.isEnabled()) return false; + try { + Map body = new LinkedHashMap<>(); + body.put("solution", ragProps.getSolution()); + if (feature != null) body.put("feature", feature); + if (question != null) body.put("question", question); + if (answer != null) body.put("answer", answer); + body.put("verdict", verdict); + if (correction != null) body.put("correction", correction); + if (userRef != null) body.put("user_ref", userRef); + Map res = webClientBuilder.baseUrl(ragProps.getBaseUrl()).build() + .post().uri("/feedback") + .header("X-Solution-Key", ragProps.getSolution()) + .bodyValue(body) + .retrieve() + .bodyToMono(Map.class) + .timeout(Duration.ofMillis(Math.min(ragProps.getTimeoutMs(), 10_000L))) + .map(m -> (Map) m) + .block(); + return res != null; + } catch (Exception e) { + log.warn("중앙 rag /feedback 전달 실패(무시): {}", e.getClass().getSimpleName()); + return false; + } + } + + private static String str(Object o) { + if (o == null) return null; + String s = String.valueOf(o).trim(); + return s.isEmpty() ? null : s; + } + + /** verdict 정규화: up/down 만 허용(그 외는 'down' 로 보수적 처리). */ + private static String normVerdict(String v) { + if (v == null) return "down"; + String l = v.toLowerCase(); + if (l.startsWith("up") || l.equals("good") || l.equals("👍") || l.equals("positive")) return "up"; + return "down"; + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/ai/dto/AiConfigDto.java b/backend/src/main/java/com/zioinfo/mall/ai/dto/AiConfigDto.java new file mode 100644 index 0000000..cdc1f75 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/dto/AiConfigDto.java @@ -0,0 +1,18 @@ +package com.zioinfo.mall.ai.dto; + +/** + * AI 설정 조회 DTO — API 키 값 미반환(claudeKeySet 으로 설정 여부만). [GUARDiA-MALL] + * + * @param provider 효과 provider(ollama/claude/qwen3/deepseek/glm) + * @param ollamaTextModel 효과 Ollama 텍스트 모델(provider 별 해석 결과) + * @param claudeModel 효과 Claude 모델 ID + * @param claudeKeySet 서버 환경변수 ANTHROPIC_API_KEY 존재 여부(값/길이/마스킹 일절 미포함) + * @param aiEnabled 전역 AI 사용 여부(off 시 규칙 기반 degraded) + */ +public record AiConfigDto( + String provider, + String ollamaTextModel, + String claudeModel, + boolean claudeKeySet, + boolean aiEnabled) { +} diff --git a/backend/src/main/java/com/zioinfo/mall/ai/dto/AiConfigUpdateRequest.java b/backend/src/main/java/com/zioinfo/mall/ai/dto/AiConfigUpdateRequest.java new file mode 100644 index 0000000..f877f2b --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/dto/AiConfigUpdateRequest.java @@ -0,0 +1,14 @@ +package com.zioinfo.mall.ai.dto; + +/** + * AI 설정 저장 요청 — 화이트리스트 검증. [GUARDiA-MALL] + * + * @param provider ollama/claude/qwen3/deepseek/glm (필수) + * @param claudeModel Claude 모델 ID(선택, 미제공 시 기존 유지) + * @param ollamaTextModel Ollama 텍스트 모델(선택, 미제공 시 기존 유지) + */ +public record AiConfigUpdateRequest( + String provider, + String claudeModel, + String ollamaTextModel) { +} diff --git a/backend/src/main/java/com/zioinfo/mall/ai/learning/MallLearningStore.java b/backend/src/main/java/com/zioinfo/mall/ai/learning/MallLearningStore.java new file mode 100644 index 0000000..ada790d --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/learning/MallLearningStore.java @@ -0,0 +1,148 @@ +package com.zioinfo.mall.ai.learning; + +import jakarta.annotation.PostConstruct; +import jakarta.annotation.PreDestroy; +import lombok.extern.slf4j.Slf4j; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Component; + +import java.io.File; +import java.sql.Connection; +import java.sql.DriverManager; +import java.sql.PreparedStatement; +import java.sql.Statement; +import java.time.LocalDateTime; +import java.util.regex.Pattern; + +/** + * GUARDiA Mall 로컬 임베디드 DuckDB 학습 저장소. [GUARDiA-MALL] + * + *

AI 피드백·추론 로그를 솔루션 로컬 파일({@code /opt/guardia-mall/data/mall_learning.duckdb})에 격리 + * 저장한다(오프라인 분석·학습 데이터셋). 중앙 guardia-rag(8020) 로의 전달은 {@code AiFeedbackController} 가 + * 별도로 수행한다(둘 다 기록). + * + *

내결함성(불변): DuckDB 초기화/기록 실패는 절대 예외를 전파하지 않는다(AI 본기능·서비스 무영향). + * 초기화 실패 시 {@code enabled=false} 로 no-op 동작한다. 로컬 컴파일 환경에 경로가 없어도 안전. + * + *

PII 마스킹(불변): question·answer·correction·user_ref 는 저장 전 이메일/전화/카드/주민번호를 + * 마스킹한다. 자격증명·카드·회원 PII 원문을 파일에 남기지 않는다. + * + *

스키마(멱등): {@code ai_feedback(id,ts,solution,feature,question,answer,verdict,correction,user_masked)}, + * {@code ai_infer_log(id,ts,provider,model,latency_ms,degraded)}. + */ +@Slf4j +@Component +public class MallLearningStore { + + private static final String SOLUTION = "mall"; + + private static final Pattern EMAIL = Pattern.compile("[A-Za-z0-9._%+\\-]+@[A-Za-z0-9.\\-]+\\.[A-Za-z]{2,}"); + private static final Pattern CARD = Pattern.compile("\\b(?:\\d[ \\-]?){13,16}\\b"); + private static final Pattern PHONE = Pattern.compile("\\b(?:\\+?\\d{1,3}[\\-. ]?)?(?:\\(?\\d{2,4}\\)?[\\-. ]?)\\d{3,4}[\\-. ]?\\d{4}\\b"); + private static final Pattern SSN = Pattern.compile("\\b\\d{6}[\\-]?\\d{7}\\b"); + + private final String dbPath; + private volatile boolean enabled = false; + private Connection conn; + + public MallLearningStore( + @Value("${guardia.mall.learning.duckdb-path:/opt/guardia-mall/data/mall_learning.duckdb}") String dbPath) { + this.dbPath = dbPath; + } + + /** 부팅 시 DuckDB 연결·스키마 멱등 생성. 실패해도 서비스는 정상(enabled=false). */ + @PostConstruct + public synchronized void init() { + try { + File f = new File(dbPath); + File parent = f.getParentFile(); + if (parent != null && !parent.exists() && !parent.mkdirs()) { + log.warn("Mall learning store: data dir 생성 불가 -> 로컬 학습저장소 비활성"); + return; + } + Class.forName("org.duckdb.DuckDBDriver"); + this.conn = DriverManager.getConnection("jdbc:duckdb:" + dbPath); + try (Statement st = conn.createStatement()) { + st.execute("CREATE SEQUENCE IF NOT EXISTS seq_ai_feedback START 1"); + st.execute("CREATE SEQUENCE IF NOT EXISTS seq_ai_infer_log START 1"); + st.execute("CREATE TABLE IF NOT EXISTS ai_feedback (" + + "id BIGINT PRIMARY KEY, ts TIMESTAMP, solution VARCHAR, feature VARCHAR, " + + "question VARCHAR, answer VARCHAR, verdict VARCHAR, correction VARCHAR, user_masked VARCHAR)"); + st.execute("CREATE TABLE IF NOT EXISTS ai_infer_log (" + + "id BIGINT PRIMARY KEY, ts TIMESTAMP, provider VARCHAR, model VARCHAR, " + + "latency_ms BIGINT, degraded BOOLEAN)"); + } + this.enabled = true; + log.info("Mall learning store(DuckDB) 활성: {}", dbPath); + } catch (Throwable t) { // 드라이버 부재·경로 불가 등 모든 오류를 흡수(서비스 무영향) + this.enabled = false; + log.warn("Mall learning store(DuckDB) 초기화 실패 -> 비활성(no-op): {}", t.getClass().getSimpleName()); + } + } + + public boolean isEnabled() { + return enabled; + } + + /** 피드백 로컬 기록(PII 마스킹). 실패해도 예외 미전파. */ + public synchronized void recordFeedback(String feature, String question, String answer, + String verdict, String correction, String userRef) { + if (!enabled || conn == null) return; + try (PreparedStatement ps = conn.prepareStatement( + "INSERT INTO ai_feedback (id,ts,solution,feature,question,answer,verdict,correction,user_masked) " + + "VALUES (nextval('seq_ai_feedback'),?,?,?,?,?,?,?,?)")) { + ps.setObject(1, LocalDateTime.now()); + ps.setString(2, SOLUTION); + ps.setString(3, trunc(feature, 120)); + ps.setString(4, mask(trunc(question, 4000))); + ps.setString(5, mask(trunc(answer, 8000))); + ps.setString(6, trunc(verdict, 16)); + ps.setString(7, mask(trunc(correction, 8000))); + ps.setString(8, mask(trunc(userRef, 120))); + ps.executeUpdate(); + } catch (Throwable t) { + log.warn("Mall learning store: feedback 기록 실패(무시): {}", t.getClass().getSimpleName()); + } + } + + /** 추론 로그 기록(provider/model/지연/degraded). 실패해도 예외 미전파. */ + public synchronized void recordInfer(String provider, String model, long latencyMs, boolean degraded) { + if (!enabled || conn == null) return; + try (PreparedStatement ps = conn.prepareStatement( + "INSERT INTO ai_infer_log (id,ts,provider,model,latency_ms,degraded) " + + "VALUES (nextval('seq_ai_infer_log'),?,?,?,?,?)")) { + ps.setObject(1, LocalDateTime.now()); + ps.setString(2, trunc(provider, 40)); + ps.setString(3, trunc(model, 60)); + ps.setLong(4, Math.max(0, latencyMs)); + ps.setBoolean(5, degraded); + ps.executeUpdate(); + } catch (Throwable t) { + log.warn("Mall learning store: infer 로그 실패(무시): {}", t.getClass().getSimpleName()); + } + } + + @PreDestroy + public synchronized void close() { + if (conn != null) { + try { conn.close(); } catch (Exception ignore) { /* no-op */ } + } + } + + // ── helpers ─────────────────────────────────────────────────────────── + /** 이메일/카드/전화/주민번호 마스킹(원문 미저장). */ + static String mask(String s) { + if (s == null || s.isBlank()) return s; + String out = s; + out = SSN.matcher(out).replaceAll("######-#######"); + out = CARD.matcher(out).replaceAll("****-****-****-****"); + out = EMAIL.matcher(out).replaceAll("***@***"); + out = PHONE.matcher(out).replaceAll("***-****-****"); + return out; + } + + private static String trunc(String s, int max) { + if (s == null) return null; + return s.length() > max ? s.substring(0, max) : s; + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/ai/service/AiConfigService.java b/backend/src/main/java/com/zioinfo/mall/ai/service/AiConfigService.java new file mode 100644 index 0000000..61d9e39 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/service/AiConfigService.java @@ -0,0 +1,248 @@ +package com.zioinfo.mall.ai.service; + +import com.zioinfo.mall.admin.AuditService; +import com.zioinfo.mall.admin.dto.MallSetting; +import com.zioinfo.mall.admin.mapper.SettingMapper; +import com.zioinfo.mall.ai.OllamaClient; +import com.zioinfo.mall.ai.dto.AiConfigDto; +import com.zioinfo.mall.ai.dto.AiConfigUpdateRequest; +import com.zioinfo.mall.common.ai.ClaudeTextClient; +import com.zioinfo.mall.common.ai.TextAiClient.GenResult; +import lombok.RequiredArgsConstructor; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.util.Set; + +/** + * AI provider 런타임 설정(mall_setting, key='ai.*') 단일 출처 서비스. [GUARDiA-MALL] + * + *

해상도: DB(mall_setting) 우선 → 미설정 시 기본값/env 폴백. 시드(db/104) 미적용/키 비움 + * 상태에서도 기존 Ollama 동작이 바이트 동일하게 유지된다(provider 기본 ollama, ollamaTextModel 미설정 시 + * {@code guardia.ollama-text-model} env 그대로). + * + *

보안: Claude API 키는 본 서비스가 다루지 않는다. {@code claudeKeySet} 은 + * {@link ClaudeTextClient#isConfigured()}(환경변수 존재 여부)만 반환 — 값/길이/마스킹 일절 미포함. + * + *

프로바이더: claude / qwen3 / deepseek / glm / ollama. Ollama 계열(qwen3·deepseek·glm·ollama)은 각 + * 해당 소형 텍스트 모델로 generate. claude 는 Claude→실패 시 Ollama(선택모델) 폴백(라우터). + * glm(glm4:9b)은 서버 RAM 초과 가능(§RAM 배지) — 화이트리스트 등록/선택 허용, 콜드로드 실패 시 폴백. + * + *

레퍼런스: guardia-ocr {@code ai.service.AiConfigService} 미러(provider 에 glm 추가). + */ +@Service +@RequiredArgsConstructor +public class AiConfigService { + + // --- mall_setting 키 (db/104 시드와 일치) + public static final String K_PROVIDER = "ai.provider"; // ENUM: ollama|claude|qwen3|deepseek|glm + public static final String K_CLAUDE_MODEL = "ai.claude.model"; // ENUM: 화이트리스트 + public static final String K_OLLAMA_TEXT_MODEL = "ai.ollama.textModel"; // STRING (미설정 시 env 폴백) + public static final String K_ENABLED = "ai.enabled"; // BOOL (off=규칙기반 degraded) + + public static final String PROVIDER_OLLAMA = "ollama"; + public static final String PROVIDER_CLAUDE = "claude"; + public static final String PROVIDER_QWEN3 = "qwen3"; + public static final String PROVIDER_DEEPSEEK = "deepseek"; + public static final String PROVIDER_GLM = "glm"; + public static final String DEFAULT_CLAUDE_MODEL = "claude-sonnet-4-6"; + + // Ollama 계열 provider → 고정 소형/중형 모델(서버 RAM 제약 준수, glm 은 RAM 초과 가능) + public static final String MODEL_QWEN3 = "qwen3:1.7b"; + public static final String MODEL_DEEPSEEK = "deepseek-r1:1.5b"; + public static final String MODEL_GLM = "glm4:9b"; + + /** 허용 provider(임의 문자열 거부). */ + public static final Set ALLOWED_PROVIDERS = + Set.of(PROVIDER_OLLAMA, PROVIDER_CLAUDE, PROVIDER_QWEN3, PROVIDER_DEEPSEEK, PROVIDER_GLM); + /** 허용 Claude 모델 ID(임의 문자열 거부). */ + public static final Set ALLOWED_CLAUDE_MODELS = + Set.of("claude-sonnet-4-6", "claude-haiku-4-5", "claude-opus-4-8"); + /** 허용 Ollama 텍스트 모델(임의 문자열 거부). */ + public static final Set ALLOWED_OLLAMA_MODELS = + Set.of("qwen3:1.7b", "deepseek-r1:1.5b", "glm4:9b", "llama3.2:1b"); + + private final SettingMapper repo; + private final ClaudeTextClient claudeClient; + private final OllamaClient ollamaClient; // 연결 테스트용 텍스트 generate + private final AuditService auditService; + + /** 서버 기본 Ollama 텍스트 모델(application.yml guardia.ollama-text-model). */ + @Value("${guardia.ollama-text-model:llama3.2:1b}") + private String defaultOllamaTextModel; + + // ---------------------------------------------------------------- 효과값(DB 우선 → 기본) + + /** 효과 provider. DB 우선, 미설정/비허용 시 ollama. */ + public String provider() { + String v = dbVal(K_PROVIDER); + if (v != null) { + String p = v.trim().toLowerCase(); + if (ALLOWED_PROVIDERS.contains(p)) { + return p; + } + } + return PROVIDER_OLLAMA; + } + + /** 효과 Claude 모델 ID(DB 우선, 미설정/비허용 시 기본 sonnet-4-6). */ + public String claudeModel() { + String v = dbVal(K_CLAUDE_MODEL); + if (v != null) { + String m = v.trim(); + if (ALLOWED_CLAUDE_MODELS.contains(m)) { + return m; + } + } + return DEFAULT_CLAUDE_MODEL; + } + + /** + * 효과 Ollama 텍스트 모델. provider=qwen3/deepseek/glm 면 고정 모델, 그 외(ollama·claude 폴백)는 + * DB 설정(화이트리스트) 우선 → 미설정 시 env 기본(llama3.2:1b). 라우터의 Ollama 경로·Claude 폴백 공용. + */ + public String ollamaTextModel() { + String p = provider(); + if (PROVIDER_QWEN3.equals(p)) { + return MODEL_QWEN3; + } + if (PROVIDER_DEEPSEEK.equals(p)) { + return MODEL_DEEPSEEK; + } + if (PROVIDER_GLM.equals(p)) { + return MODEL_GLM; + } + String v = dbVal(K_OLLAMA_TEXT_MODEL); + if (v != null && ALLOWED_OLLAMA_MODELS.contains(v.trim())) { + return v.trim(); + } + return defaultOllamaTextModel; + } + + /** 전역 AI 토글(ai.enabled). false 면 모든 AI 결과는 규칙기반(degraded). 기본 true. */ + public boolean aiEnabled() { + String v = dbVal(K_ENABLED); + return v == null || !"false".equalsIgnoreCase(v.trim()); + } + + /** Claude API 키가 환경변수로 설정되어 있는지(여부만). */ + public boolean claudeKeySet() { + return claudeClient.isConfigured(); + } + + /** + * 실제 호출이 Claude 경로로 가야 하는지: provider=claude · 키 설정됨 · AI 전역 활성. + * false 면 호출자는 Ollama 경로/폴백을 사용한다(키 미설정/실패 시 자동 폴백 정책 반영). + */ + public boolean isClaudeActive() { + return PROVIDER_CLAUDE.equals(provider()) && claudeKeySet() && aiEnabled(); + } + + // ---------------------------------------------------------------- ADMIN: 조회 / 갱신 + + /** 현재 효과 설정 조회. 키 값·길이·마스킹 일절 미포함(claudeKeySet 불리언만). */ + public AiConfigDto getConfig() { + return new AiConfigDto( + provider(), + ollamaTextModel(), + claudeModel(), + claudeKeySet(), + aiEnabled()); + } + + /** + * 설정 갱신(upsert). 화이트리스트 검증: provider∈{ollama,claude,qwen3,deepseek,glm}, claudeModel∈허용셋, + * ollamaTextModel(선택)∈허용셋. 재기동 없이 다음 호출부터 반영. + */ + public AiConfigDto update(AiConfigUpdateRequest req, String actor) { + String provider = req.provider() == null ? "" : req.provider().trim().toLowerCase(); + if (!ALLOWED_PROVIDERS.contains(provider)) { + throw new IllegalArgumentException("ERR-AI-400: provider 는 ollama/claude/qwen3/deepseek/glm 중 하나여야 합니다."); + } + upsertAudited(K_PROVIDER, provider, actor); + + if (req.claudeModel() != null && !req.claudeModel().isBlank()) { + String model = req.claudeModel().trim(); + if (!ALLOWED_CLAUDE_MODELS.contains(model)) { + throw new IllegalArgumentException("ERR-AI-400: 허용되지 않은 Claude 모델 ID 입니다."); + } + upsertAudited(K_CLAUDE_MODEL, model, actor); + } + + // ollamaTextModel 은 선택. 제공 시에만 갱신(미제공/공백 = 기존 유지). + if (req.ollamaTextModel() != null && !req.ollamaTextModel().isBlank()) { + String om = req.ollamaTextModel().trim(); + if (!ALLOWED_OLLAMA_MODELS.contains(om)) { + throw new IllegalArgumentException("ERR-AI-400: 허용되지 않은 Ollama 텍스트 모델입니다."); + } + upsertAudited(K_OLLAMA_TEXT_MODEL, om, actor); + } + return getConfig(); + } + + // ---------------------------------------------------------------- ADMIN: 연결 테스트 + + /** + * 저장된 설정 기준으로 선택 provider 에 짧은 ping 생성을 요청해 연결을 확인한다. + * 결과 메시지에는 키·스택트레이스·내부 IP 를 절대 포함하지 않는다(요약만). + */ + public TestResult test() { + if (isClaudeActive()) { + String model = claudeModel(); + long start = System.currentTimeMillis(); + GenResult r = claudeClient.generate("ping", model, 8); + long ms = System.currentTimeMillis() - start; + if (!r.degraded() && r.text() != null && !r.text().isBlank()) { + return new TestResult(true, false, "정상 · " + model + " · " + fmtMs(ms)); + } + return new TestResult(false, true, "Claude 연결 실패 · 모델/네트워크/키 설정을 확인하세요."); + } + // provider=claude 인데 키 미설정 → 실제로는 Ollama 폴백 동작 안내(혼선 방지). + if (PROVIDER_CLAUDE.equals(provider()) && !claudeKeySet()) { + return new TestResult(false, true, + "Claude API 키가 설정되지 않아 Ollama(온프레미스)로 폴백 동작합니다. 서버 환경변수 설정 후 다시 시도하세요."); + } + // Ollama 계열 경로(ollama/qwen3/deepseek/glm) + if (!aiEnabled()) { + return new TestResult(false, true, "AI 기능이 비활성 상태입니다. 모든 AI 결과는 규칙 기반(degraded)으로 동작합니다."); + } + String model = ollamaTextModel(); + long start = System.currentTimeMillis(); + String txt = ollamaClient.generateText("ping", model); + long ms = System.currentTimeMillis() - start; + if (txt != null && !txt.isBlank()) { + return new TestResult(true, false, "정상 · " + model + " · " + fmtMs(ms)); + } + return new TestResult(false, true, "Ollama 연결 실패 또는 모델 미가용 — 설정을 확인하세요."); + } + + private static String fmtMs(long ms) { + return String.format("%.1fs", ms / 1000.0); + } + + /** 연결 테스트 결과(요약만 — 키/스택/IP 미노출). */ + public record TestResult(boolean ok, boolean degraded, String message) { + } + + // ---------------------------------------------------------------- helpers + + /** DB 값(공백/null 은 '미설정'으로 보고 null 반환 → 기본/env 폴백 유도). */ + private String dbVal(String key) { + MallSetting c = repo.findByKey(key); + if (c == null) { + return null; + } + String v = c.getValue(); + return (v != null && !v.isBlank()) ? v : null; + } + + private void upsertAudited(String key, String val, String actor) { + MallSetting before = repo.findByKey(key); + String prev = before == null ? "(none)" : before.getValue(); + if (val.equals(prev)) { + return; // 변경 없음 → 감사 로그 생략 + } + repo.upsert(key, val); + auditService.log(actor == null ? "SYSTEM" : actor, "AI_CONFIG_CHANGE", key, prev + " -> " + val); + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/ai/service/AiTextRouter.java b/backend/src/main/java/com/zioinfo/mall/ai/service/AiTextRouter.java new file mode 100644 index 0000000..9b8d1c9 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/ai/service/AiTextRouter.java @@ -0,0 +1,69 @@ +package com.zioinfo.mall.ai.service; + +import com.zioinfo.mall.ai.OllamaClient; +import com.zioinfo.mall.ai.learning.MallLearningStore; +import com.zioinfo.mall.common.ai.ClaudeTextClient; +import com.zioinfo.mall.common.ai.TextAiClient; +import com.zioinfo.mall.common.ai.TextAiClient.GenResult; +import lombok.RequiredArgsConstructor; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Service; + +/** + * AI provider 선택 라우팅(런타임). 평문 텍스트 생성 진입점(추천·리뷰요약·자연어검색·CS응답·카드메시지 등). [GUARDiA-MALL] + * {@link AiConfigService#provider()} 를 읽어 Claude ↔ Ollama(qwen3/deepseek/glm/기존소형) 를 선택한다. + * + *

선택/폴백 정책: + *

    + *
  • provider=claude · 키 설정됨 · AI 활성 → {@link ClaudeTextClient}. 실패(degraded)면 Ollama 자동 폴백(선택모델).
    • + *
  • provider=qwen3/deepseek/glm/ollama → 해당 Ollama 텍스트 모델로 generate.
    • + *
  • provider=claude 인데 키 미설정 → 곧장 Ollama(폴백모델).
    • + *
+ * 두 경로 모두 실패 시 {@code GenResult.degraded=true·text=null} → 호출자가 기존 Java 규칙기반 폴백 유지(무회귀). + * 각 생성은 로컬 DuckDB {@link MallLearningStore}(ai_infer_log)에 provider/model/지연/degraded 를 기록한다. + * + *

레퍼런스: guardia-ocr {@code ai.service.AiTextRouter} 미러(Ollama 텍스트 경로·infer 로그 치환). + */ +@Slf4j +@Service +@RequiredArgsConstructor +public class AiTextRouter implements TextAiClient { + + private final AiConfigService aiConfig; + private final ClaudeTextClient claudeClient; + private final OllamaClient ollamaClient; // 온프레미스 평문 generate + private final MallLearningStore learningStore; + + /** + * 선택된 provider 로 텍스트를 생성한다. Claude 선택·실패 시 Ollama 폴백. 예외를 던지지 않는다. + */ + @Override + public GenResult generate(String prompt) { + if (aiConfig.isClaudeActive()) { + String model = aiConfig.claudeModel(); + long start = System.currentTimeMillis(); + GenResult r = claudeClient.generate(prompt, model); + if (!r.degraded() && r.text() != null && !r.text().isBlank()) { + learningStore.recordInfer("claude", model, System.currentTimeMillis() - start, false); + return r; + } + // claude 실패/빈응답 → 온프레미스 Ollama 자동 폴백(선택모델). + log.warn("Claude path degraded -> Ollama fallback"); + return ollamaGenerate(prompt, aiConfig.ollamaTextModel(), "claude->ollama"); + } + // provider = ollama / qwen3 / deepseek / glm → 해당 Ollama 모델 + return ollamaGenerate(prompt, aiConfig.ollamaTextModel(), aiConfig.provider()); + } + + /** Ollama 평문 generate 를 GenResult 로 래핑(실패 시 degraded) + infer 로그. */ + private GenResult ollamaGenerate(String prompt, String model, String providerLabel) { + long start = System.currentTimeMillis(); + String txt = ollamaClient.generateText(prompt, model); + boolean degraded = (txt == null || txt.isBlank()); + learningStore.recordInfer(providerLabel, model, System.currentTimeMillis() - start, degraded); + if (degraded) { + return new GenResult(null, true); + } + return new GenResult(txt, false); + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/common/ai/ClaudeTextClient.java b/backend/src/main/java/com/zioinfo/mall/common/ai/ClaudeTextClient.java new file mode 100644 index 0000000..692bb1b --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/common/ai/ClaudeTextClient.java @@ -0,0 +1,171 @@ +package com.zioinfo.mall.common.ai; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.zioinfo.mall.common.ai.TextAiClient.GenResult; +import lombok.extern.slf4j.Slf4j; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.net.URI; +import java.net.http.HttpClient; +import java.net.http.HttpRequest; +import java.net.http.HttpResponse; +import java.time.Duration; + +/** + * 외부 Claude(Anthropic) Messages API 텍스트 생성 클라이언트. [ISSUER=GUARDiA-MALL] + * + *

외부 호출 예외 허용: 본 클라이언트는 소유자 승인(2026-07-03)에 따라 {@code api.anthropic.com} + * 호출이 허용된 유일한 외부 경로다. 그 외 외부 API 호출은 여전히 금지(Ollama localhost 전용). + * + *

API 키 보안(최우선): 키는 환경변수 {@code ANTHROPIC_API_KEY} 에서만 로드하며 + * ({@code @Value("${ANTHROPIC_API_KEY:}")}), DB·코드·커밋·로그·응답·예외 메시지 어디에도 기록하지 않는다. + * 키는 오직 HTTP 헤더 {@code x-api-key} 로만 전달된다. 로그는 상태코드/예외 클래스명만 남긴다(본문·키 미기록). + * + *

실패 처리: 키 미설정/타임아웃/비200/예외 시 {@code GenResult.degraded=true·text=null} 반환 + * (예외를 던지지 않음 → 호출자는 Ollama 폴백). 신규 라이브러리 0 — JDK {@link HttpClient} 사용. + * + *

모델은 인자로 받는다(호출자가 화이트리스트 검증된 모델 ID 전달). 인터페이스 {@link TextAiClient}의 + * {@code generate(String)} 은 기본 모델로 위임한다(주로 라우터가 모델을 명시 호출). + * + *

레퍼런스: guardia-ocr {@code com.zioinfo.ocr.common.ai.ClaudeTextClient} 미러(패키지·ISSUER 치환). + */ +@Slf4j +@Service +public class ClaudeTextClient implements TextAiClient { + + /** Anthropic Messages API 엔드포인트(외부 호출 예외 허용 단일 경로). */ + private static final String API_URL = "https://api.anthropic.com/v1/messages"; + /** Anthropic 버전 헤더(고정). */ + private static final String ANTHROPIC_VERSION = "2023-06-01"; + /** 기본 모델(키 검증된 화이트리스트의 기본값). */ + static final String DEFAULT_MODEL = "claude-sonnet-4-6"; + /** 일반 생성 max_tokens. */ + private static final int DEFAULT_MAX_TOKENS = 1024; + /** 콜드 응답 대비 요청 타임아웃(초). Ollama timeout 과 동급. */ + private static final int TIMEOUT_SEC = 120; + private static final int CONNECT_TIMEOUT_SEC = 15; + + private static final ObjectMapper MAPPER = new ObjectMapper(); + + /** 환경변수 전용 주입. 미설정 시 빈 문자열(=미구성). 값은 절대 외부 노출/로그 금지. */ + @Value("${ANTHROPIC_API_KEY:}") + private String apiKey; + + /** API 키가 환경변수로 설정되어 있는지(여부만 — 값/길이/마스킹 일절 미노출). */ + public boolean isConfigured() { + return apiKey != null && !apiKey.isBlank(); + } + + /** {@link TextAiClient} 계약: 기본 모델로 생성. */ + @Override + public GenResult generate(String prompt) { + return generate(prompt, DEFAULT_MODEL); + } + + /** 지정 모델로 생성(라우터가 화이트리스트 검증된 모델 ID 전달). */ + public GenResult generate(String prompt, String model) { + return generate(prompt, model, DEFAULT_MAX_TOKENS); + } + + /** + * Anthropic Messages API 호출. 실패 시 {@code degraded=true·text=null}. + * 키·요청본문·응답본문은 로그에 남기지 않는다(상태코드/예외 클래스명만). + */ + public GenResult generate(String prompt, String model, int maxTokens) { + if (!isConfigured()) { + return new GenResult(null, true); + } + if (prompt == null || prompt.isBlank()) { + return new GenResult(null, true); + } + String useModel = (model == null || model.isBlank()) ? DEFAULT_MODEL : model.trim(); + int tokens = maxTokens > 0 ? maxTokens : DEFAULT_MAX_TOKENS; + try { + String payload = "{" + + "\"model\":" + str(useModel) + "," + + "\"max_tokens\":" + tokens + "," + + "\"messages\":[{\"role\":\"user\",\"content\":" + str(prompt) + "}]" + + "}"; + + HttpClient client = HttpClient.newBuilder() + .connectTimeout(Duration.ofSeconds(CONNECT_TIMEOUT_SEC)) + .build(); + HttpRequest req = HttpRequest.newBuilder() + .uri(URI.create(API_URL)) + .timeout(Duration.ofSeconds(TIMEOUT_SEC)) + .header("content-type", "application/json") + .header("x-api-key", apiKey) // 키는 헤더로만 — 로그/응답 미노출 + .header("anthropic-version", ANTHROPIC_VERSION) + .POST(HttpRequest.BodyPublishers.ofString(payload)) + .build(); + HttpResponse resp = client.send(req, HttpResponse.BodyHandlers.ofString()); + if (resp.statusCode() != 200) { + log.warn("Claude API status {} -> degraded fallback", resp.statusCode()); // 본문 미기록 + return new GenResult(null, true); + } + String text = extractText(resp.body()); + if (text == null || text.isBlank()) { + return new GenResult(null, true); + } + return new GenResult(text.trim(), false); + } catch (Exception e) { + log.warn("Claude API call failed -> degraded fallback: {}", e.getClass().getSimpleName()); // 메시지·키 미기록 + return new GenResult(null, true); + } + } + + /** Messages API 응답에서 content[].text(type=text) 추출·연결. */ + private static String extractText(String body) { + if (body == null || body.isBlank()) { + return null; + } + try { + JsonNode root = MAPPER.readTree(body); + JsonNode content = root.get("content"); + if (content == null || !content.isArray()) { + return null; + } + StringBuilder sb = new StringBuilder(); + for (JsonNode block : content) { + JsonNode type = block.get("type"); + if (type != null && "text".equals(type.asText())) { + JsonNode t = block.get("text"); + if (t != null && !t.isNull()) { + sb.append(t.asText()); + } + } + } + String out = sb.toString(); + return out.isBlank() ? null : out; + } catch (Exception e) { + return null; + } + } + + /** JSON 문자열 이스케이프(Ollama 프롬프트 직렬화와 동일 규칙). */ + private static String str(String s) { + if (s == null) { + return "\"\""; + } + StringBuilder sb = new StringBuilder("\""); + for (char c : s.toCharArray()) { + switch (c) { + case '"' -> sb.append("\\\""); + case '\\' -> sb.append("\\\\"); + case '\n' -> sb.append("\\n"); + case '\r' -> sb.append("\\r"); + case '\t' -> sb.append("\\t"); + default -> { + if (c < 0x20) { + sb.append(String.format("\\u%04x", (int) c)); + } else { + sb.append(c); + } + } + } + } + return sb.append("\"").toString(); + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/common/ai/TextAiClient.java b/backend/src/main/java/com/zioinfo/mall/common/ai/TextAiClient.java new file mode 100644 index 0000000..9b7a99e --- /dev/null +++ b/backend/src/main/java/com/zioinfo/mall/common/ai/TextAiClient.java @@ -0,0 +1,27 @@ +package com.zioinfo.mall.common.ai; + +/** + * 텍스트 생성 공용 인터페이스 (AI provider 추상화). [GUARDiA-MALL] + * + *

온프레미스 Ollama({@code ai.OllamaClient#generateText})와 외부 Claude({@link ClaudeTextClient})를 + * 동일 계약으로 다루기 위한 얇은 추상화. 구현체는 어떤 사유로든(비활성/실패/타임아웃/키미설정) 실패 시 + * {@link GenResult#degraded()}=true · {@link GenResult#text()}=null 을 반환하고, 호출자가 폴백을 책임진다. + * + *

provider 선택/폴백 라우팅은 {@code ai.service.AiTextRouter} 가 담당한다(이 인터페이스를 구현). + * + *

레퍼런스: guardia-ocr {@code com.zioinfo.ocr.common.ai.TextAiClient} 미러(패키지·ISSUER 치환). + */ +public interface TextAiClient { + + /** + * 프롬프트로 텍스트를 생성한다. 실패 시 {@code degraded=true·text=null}(예외를 던지지 않음). + * + * @param prompt 지시문(컨텍스트 포함) + * @return 생성 결과(텍스트 또는 degraded 폴백 신호) + */ + GenResult generate(String prompt); + + /** 생성 결과: 텍스트(폴백 시 null) + degraded(폴백 여부). */ + record GenResult(String text, boolean degraded) { + } +} diff --git a/backend/src/main/java/com/zioinfo/mall/config/SecurityConfig.java b/backend/src/main/java/com/zioinfo/mall/config/SecurityConfig.java index 62b0a38..12ce60f 100644 --- a/backend/src/main/java/com/zioinfo/mall/config/SecurityConfig.java +++ b/backend/src/main/java/com/zioinfo/mall/config/SecurityConfig.java @@ -71,6 +71,10 @@ public class SecurityConfig { .requestMatchers("/api/admin/audit").hasAnyRole("ADMIN", "MANAGER") .requestMatchers(HttpMethod.GET, "/api/admin/settings").hasAnyRole("ADMIN", "MANAGER") .requestMatchers("/api/admin/settings/**").hasRole("ADMIN") + // AI 플랫폼(LLM provider) 설정 — ADMIN 전용(조회/갱신/연결테스트) + .requestMatchers("/api/admin/ai-config/**", "/api/admin/ai-config").hasRole("ADMIN") + // AI 답변 피드백 수집(로컬 DuckDB + 중앙 rag 전달) — 인증 사용자 + .requestMatchers(HttpMethod.POST, "/api/ai/feedback").authenticated() // 운영 분석 — MANAGER 이상 .requestMatchers("/api/mall/analytics/**").hasAnyRole("ADMIN", "MANAGER") .requestMatchers("/api/mall/settlement/**").hasAnyRole("ADMIN", "MANAGER") diff --git a/backend/src/main/resources/application.yml b/backend/src/main/resources/application.yml index d6b0417..8042761 100644 --- a/backend/src/main/resources/application.yml +++ b/backend/src/main/resources/application.yml @@ -14,7 +14,7 @@ spring: sql: init: mode: ${SQL_INIT_MODE:always} - schema-locations: classpath:db/91_uiws_port.sql,classpath:db/92_uiws_system.sql + schema-locations: classpath:db/91_uiws_port.sql,classpath:db/92_uiws_system.sql,classpath:db/104_seed_ai_config.sql continue-on-error: true servlet: multipart: @@ -60,6 +60,10 @@ guardia: ocr-url: ${OCR_URL:http://localhost:8005} ollama-url: ${OLLAMA_URL:http://localhost:11434} ollama-text-model: ${OLLAMA_TEXT_MODEL:llama3.2:1b} + # 로컬 임베디드 DuckDB 학습 저장소 파일(솔루션 격리). 경로 미가용/드라이버 부재 시 자동 비활성(no-op). + mall: + learning: + duckdb-path: ${MALL_LEARNING_DUCKDB:/opt/guardia-mall/data/mall_learning.duckdb} # 중앙 guardia-rag(온프레미스 전용) — 최신 AI 기법 경유. 미가용 시 Mall 로컬 폴백(degraded) rag: base-url: ${RAG_URL:http://127.0.0.1:8020} diff --git a/backend/src/main/resources/db/104_seed_ai_config.sql b/backend/src/main/resources/db/104_seed_ai_config.sql new file mode 100644 index 0000000..a4655f8 --- /dev/null +++ b/backend/src/main/resources/db/104_seed_ai_config.sql @@ -0,0 +1,27 @@ +-- ===================================================================== +-- GUARDiA Mall — 104. AI 플랫폼(LLM provider) 설정 시드 (멱등) +-- 대상 DB : mall_db (테이블 mall_setting — schema.sql 에서 생성) +-- 적용 : application.yml spring.sql.init.mode=always + schema-locations 에 본 파일 등재. +-- mode:always 재실행 안전(ON CONFLICT DO NOTHING). +-- 설명 : 외부 Claude(Anthropic) API 를 온프레미스 Ollama 와 병행·선택형으로 추가. +-- 관리자(ADMIN)가 런타임으로 provider/모델을 선택(재기동 불요, AiConfigService). +-- * ai.provider : ollama(기본) / claude / qwen3 / deepseek / glm +-- * ai.claude.model : claude-sonnet-4-6(기본) / claude-haiku-4-5 / claude-opus-4-8 +-- * ai.ollama.textModel: 빈값(=서버 프로퍼티 guardia.ollama-text-model 폴백, llama3.2:1b) +-- * ai.enabled : true(기본, off=규칙기반 degraded) +-- 보안 : Claude API 키는 DB 에 저장하지 않는다 — 서버 환경변수 ANTHROPIC_API_KEY 로만 주입. +-- 본 시드에 키/시크릿/IP/비밀번호 일절 미포함. +-- 무회귀 : 기본 provider=ollama → 설정 미변경 시 기존 Ollama 동작과 바이트 동일. +-- 멱등 : INSERT ... ON CONFLICT (key) DO NOTHING. +-- ===================================================================== + +SET client_encoding = 'UTF8'; + +INSERT INTO mall_setting (key, value) VALUES + ('ai.provider', 'ollama'), + ('ai.claude.model', 'claude-sonnet-4-6'), + ('ai.ollama.textModel', ''), + ('ai.enabled', 'true') +ON CONFLICT (key) DO NOTHING; + +-- end 104_seed_ai_config.sql diff --git a/backend/src/main/resources/static/assets/index-B51ISNUZ.css b/backend/src/main/resources/static/assets/index-B51ISNUZ.css deleted file mode 100644 index 1ea5b76..0000000 --- a/backend/src/main/resources/static/assets/index-B51ISNUZ.css +++ /dev/null @@ -1 +0,0 @@ -:root,:root[data-uiws-theme=dark]{--uiws-bg: #0b0f17;--uiws-surface: #131927;--uiws-surface-2: #1a2234;--uiws-border: #26304a;--uiws-text: #e6edf6;--uiws-text-muted: #9aa7bd;--uiws-text-faint: #6b7a93;--uiws-primary: #00a0c8;--uiws-primary-contrast: #06121a;--uiws-primary-soft: rgba(0, 160, 200, .16);--uiws-danger: #f87171;--uiws-success: 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T=this.hasListeners(),P=!T&&NO(t,n),C=T&&EO(t,r,n,a);(P||C)&&(d={...d,...gD(f.data,t.options)}),n._optimisticResults==="isRestoring"&&(d.fetchStatus="idle")}let{error:y,errorUpdatedAt:m,status:v}=d;p=d.data;let g=!1;if(n.placeholderData!==void 0&&p===void 0&&v==="pending"){let T;i!=null&&i.isPlaceholderData&&n.placeholderData===(o==null?void 0:o.placeholderData)?(T=i.data,g=!0):T=typeof n.placeholderData=="function"?n.placeholderData((E=R(this,Ul))==null?void 0:E.state.data,R(this,Ul)):n.placeholderData,T!==void 0&&(v="success",p=o0(i==null?void 0:i.data,T,n),h=!0)}if(n.select&&p!==void 0&&!g)if(i&&p===(s==null?void 0:s.data)&&n.select===R(this,Rd))p=R(this,Bl);else try{te(this,Rd,n.select),p=n.select(p),p=o0(i==null?void 0:i.data,p,n),te(this,Bl,p),te(this,Pi,null)}catch(T){te(this,Pi,T)}R(this,Pi)&&(y=R(this,Pi),p=R(this,Bl),m=Date.now(),v="error");const x=d.fetchStatus==="fetching",b=v==="pending",w=v==="error",S=b&&x,A=p!==void 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N}updateResult(){const t=R(this,hn),n=this.createResult(R(this,_e),this.options);if(te(this,Ks,R(this,_e).state),te(this,zl,this.options),R(this,Ks).data!==void 0&&te(this,Ul,R(this,_e)),i0(n,t))return;te(this,hn,n);const r=()=>{if(!t)return!0;const{notifyOnChangeProps:a}=this.options,i=typeof a=="function"?a():a;if(i==="all"||!i&&!R(this,Fl).size)return!0;const s=new Set(i??R(this,Fl));return this.options.throwOnError&&s.add("error"),Object.keys(R(this,hn)).some(o=>{const c=o;return R(this,hn)[c]!==t[c]&&s.has(c)})};Te(this,Ue,vD).call(this,{listeners:r()})}onQueryUpdate(){this.updateResult(),this.hasListeners()&&Te(this,Ue,h0).call(this)}},Nn=new WeakMap,_e=new WeakMap,Md=new WeakMap,hn=new WeakMap,Ks=new WeakMap,zl=new WeakMap,Ra=new WeakMap,Pi=new WeakMap,Rd=new WeakMap,Bl=new WeakMap,Ul=new WeakMap,Gs=new WeakMap,Ys=new WeakMap,Mi=new WeakMap,Fl=new WeakMap,Ue=new WeakSet,Bu=function(t){Te(this,Ue,y0).call(this);let n=R(this,_e).fetch(this.options,t);return t!=null&&t.throwOnError||(n=n.catch(Cn)),n},u0=function(){Te(this,Ue,p0).call(this);const t=Zi(this.options.staleTime,R(this,_e));if(zf.isServer()||R(this,hn).isStale||!a0(t))return;const r=cD(R(this,hn).dataUpdatedAt,t)+1;te(this,Gs,Ms.setTimeout(()=>{R(this,hn).isStale||this.updateResult()},r))},f0=function(){return(typeof this.options.refetchInterval=="function"?this.options.refetchInterval(R(this,_e)):this.options.refetchInterval)??!1},d0=function(t){Te(this,Ue,m0).call(this),te(this,Mi,t),!(zf.isServer()||Vn(this.options.enabled,R(this,_e))===!1||!a0(R(this,Mi))||R(this,Mi)===0)&&te(this,Ys,Ms.setInterval(()=>{(this.options.refetchIntervalInBackground||_w.isFocused())&&Te(this,Ue,Bu).call(this)},R(this,Mi)))},h0=function(){Te(this,Ue,u0).call(this),Te(this,Ue,d0).call(this,Te(this,Ue,f0).call(this))},p0=function(){R(this,Gs)!==void 0&&(Ms.clearTimeout(R(this,Gs)),te(this,Gs,void 0))},m0=function(){R(this,Ys)!==void 0&&(Ms.clearInterval(R(this,Ys)),te(this,Ys,void 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nU(e,t){return!i0(e.getCurrentResult(),t)}var kd,Xr,ln,Ws,Qr,yi,rM,rU=(rM=class extends mD{constructor(t){super();ue(this,Qr);ue(this,kd);ue(this,Xr);ue(this,ln);ue(this,Ws);te(this,kd,t.client),this.mutationId=t.mutationId,te(this,ln,t.mutationCache),te(this,Xr,[]),this.state=t.state||aU(),this.setOptions(t.options),this.scheduleGc()}setOptions(t){this.options=t,this.updateGcTime(this.options.gcTime)}get meta(){return this.options.meta}addObserver(t){R(this,Xr).includes(t)||(R(this,Xr).push(t),this.clearGcTimeout(),R(this,ln).notify({type:"observerAdded",mutation:this,observer:t}))}removeObserver(t){te(this,Xr,R(this,Xr).filter(n=>n!==t)),this.scheduleGc(),R(this,ln).notify({type:"observerRemoved",mutation:this,observer:t})}optionalRemove(){R(this,Xr).length||(this.state.status==="pending"?this.scheduleGc():R(this,ln).remove(this))}continue(){var t;return((t=R(this,Ws))==null?void 0:t.continue())??this.execute(this.state.variables)}async execute(t){var 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Object.keys(t).length>0?n.filter(r=>xO(t,r)):n}notify(t){en.batch(()=>{this.listeners.forEach(n=>{n(t)})})}onFocus(){en.batch(()=>{this.getAll().forEach(t=>{t.onFocus()})})}onOnline(){en.batch(()=>{this.getAll().forEach(t=>{t.onOnline()})})}},Zr=new WeakMap,iM),vt,Ri,ki,Vl,Hl,Di,ql,Kl,sM,oU=(sM=class{constructor(e={}){ue(this,vt);ue(this,Ri);ue(this,ki);ue(this,Vl);ue(this,Hl);ue(this,Di);ue(this,ql);ue(this,Kl);te(this,vt,e.queryCache||new sU),te(this,Ri,e.mutationCache||new iU),te(this,ki,e.defaultOptions||{}),te(this,Vl,new Map),te(this,Hl,new Map),te(this,Di,0)}mount(){bh(this,Di)._++,R(this,Di)===1&&(te(this,ql,_w.subscribe(async e=>{e&&(await this.resumePausedMutations(),R(this,vt).onFocus())})),te(this,Kl,mm.subscribe(async e=>{e&&(await this.resumePausedMutations(),R(this,vt).onOnline())})))}unmount(){var e,t;bh(this,Di)._--,R(this,Di)===0&&((e=R(this,ql))==null||e.call(this),te(this,ql,void 0),(t=R(this,Kl))==null||t.call(this),te(this,Kl,void 0))}isFetching(e){return 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n.throwOnError||(i=i.catch(Cn)),a.state.fetchStatus==="paused"?Promise.resolve():i}));return Promise.all(r).then(Cn)}fetchQuery(e){const t=this.defaultQueryOptions(e);t.retry===void 0&&(t.retry=!1);const n=R(this,vt).build(this,t);return n.isStaleByTime(Zi(t.staleTime,n))?n.fetch(t):Promise.resolve(n.state.data)}prefetchQuery(e){return this.fetchQuery(e).then(Cn).catch(Cn)}fetchInfiniteQuery(e){return e._type="infinite",this.fetchQuery(e)}prefetchInfiniteQuery(e){return this.fetchInfiniteQuery(e).then(Cn).catch(Cn)}ensureInfiniteQueryData(e){return e._type="infinite",this.ensureQueryData(e)}resumePausedMutations(){return mm.isOnline()?R(this,Ri).resumePausedMutations():Promise.resolve()}getQueryCache(){return R(this,vt)}getMutationCache(){return R(this,Ri)}getDefaultOptions(){return R(this,ki)}setDefaultOptions(e){te(this,ki,e)}setQueryDefaults(e,t){R(this,Vl).set(Lf(e),{queryKey:e,defaultOptions:t})}getQueryDefaults(e){const t=[...R(this,Vl).values()],n={};return t.forEach(r=>{If(e,r.queryKey)&&Object.assign(n,r.defaultOptions)}),n}setMutationDefaults(e,t){R(this,Hl).set(Lf(e),{mutationKey:e,defaultOptions:t})}getMutationDefaults(e){const t=[...R(this,Hl).values()],n={};return t.forEach(r=>{If(e,r.mutationKey)&&Object.assign(n,r.defaultOptions)}),n}defaultQueryOptions(e){if(e._defaulted)return e;const t={...R(this,ki).queries,...this.getQueryDefaults(e.queryKey),...e,_defaulted:!0};return t.queryHash||(t.queryHash=Pw(t.queryKey,t)),t.refetchOnReconnect===void 0&&(t.refetchOnReconnect=t.networkMode!=="always"),t.throwOnError===void 0&&(t.throwOnError=!!t.suspense),!t.networkMode&&t.persister&&(t.networkMode="offlineFirst"),t.queryFn===Mw&&(t.enabled=!1),t}defaultMutationOptions(e){return e!=null&&e._defaulted?e:{...R(this,ki).mutations,...(e==null?void 0:e.mutationKey)&&this.getMutationDefaults(e.mutationKey),...e,_defaulted:!0}}clear(){R(this,vt).clear(),R(this,Ri).clear()}},vt=new WeakMap,Ri=new WeakMap,ki=new WeakMap,Vl=new WeakMap,Hl=new 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0))}},Fs=new WeakMap,iM);function rU(e){return{onFetch:(t,n)=>{var d,f,h,p,y;const r=t.options,a=(h=(f=(d=t.fetchOptions)==null?void 0:d.meta)==null?void 0:f.fetchMore)==null?void 0:h.direction,i=((p=t.state.data)==null?void 0:p.pages)||[],s=((y=t.state.data)==null?void 0:y.pageParams)||[];let o={pages:[],pageParams:[]},c=0;const u=async()=>{let m=!1;const v=b=>{ZB(b,()=>t.signal,()=>m=!0)},g=yD(t.options,t.fetchOptions),x=async(b,w,S)=>{if(m)return Promise.reject(t.signal.reason);if(w==null&&b.pages.length)return Promise.resolve(b);const O=(()=>{const P={client:t.client,queryKey:t.queryKey,pageParam:w,direction:S?"backward":"forward",meta:t.options.meta};return v(P),P})(),N=await g(O),{maxPages:E}=t.options,T=S?QB:XB;return{pages:T(b.pages,N,E),pageParams:T(b.pageParams,w,E)}};if(a&&i.length){const b=a==="backward",w=b?aU:TO,S={pages:i,pageParams:s},A=w(r,S);o=await x(S,A,b)}else{const b=e??i.length;do{const w=c===0?s[0]??r.initialPageParam:TO(r,o);if(c>0&&w==null)break;o=await 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t;return(t=k(this,Ft))==null?void 0:t.promise}setOptions(t){if(this.options={...k(this,Pf),...t},t!=null&&t._type&&te(this,Ll,t._type),this.updateGcTime(this.options.gcTime),this.state&&this.state.data===void 0){const n=_O(this.options);n.data!==void 0&&(this.setState(CO(n.data,n.dataUpdatedAt)),te(this,Vs,n))}}optionalRemove(){!this.observers.length&&this.state.fetchStatus==="idle"&&k(this,ur).remove(this)}setData(t,n){const r=d0(this.state.data,t,this.options);return Te(this,Fn,_a).call(this,{data:r,type:"success",dataUpdatedAt:n==null?void 0:n.updatedAt,manual:n==null?void 0:n.manual}),r}setState(t){Te(this,Fn,_a).call(this,{type:"setState",state:t})}cancel(t){var r,a;const n=(r=k(this,Ft))==null?void 0:r.promise;return(a=k(this,Ft))==null||a.cancel(t),n?n.then(Cn).catch(Cn):Promise.resolve()}destroy(){super.destroy(),this.cancel({silent:!0})}get resetState(){return k(this,Vs)}reset(){this.destroy(),this.setState(this.resetState)}isActive(){return this.observers.some(t=>Vn(t.options.enabled,this)!==!1)}isDisabled(){return this.getObserversCount()>0?!this.isActive():this.options.queryFn===Lw||!this.isFetched()}isFetched(){return this.state.dataUpdateCount+this.state.errorUpdateCount>0}isStatic(){return this.getObserversCount()>0?this.observers.some(t=>Zi(t.options.staleTime,this)==="static"):!1}isStale(){return this.getObserversCount()>0?this.observers.some(t=>t.getCurrentResult().isStale):this.state.data===void 0||this.state.isInvalidated}isStaleByTime(t=0){return this.state.data===void 0?!0:t==="static"?!1:this.state.isInvalidated?!0:!pD(this.state.dataUpdatedAt,t)}onFocus(){var n;const t=this.observers.find(r=>r.shouldFetchOnWindowFocus());t==null||t.refetch({cancelRefetch:!1}),(n=k(this,Ft))==null||n.continue()}onOnline(){var n;const t=this.observers.find(r=>r.shouldFetchOnReconnect());t==null||t.refetch({cancelRefetch:!1}),(n=k(this,Ft))==null||n.continue()}addObserver(t){this.observers.includes(t)||(this.observers.push(t),this.clearGcTimeout(),k(this,ur).notify({type:"observerAdded",query:this,observer:t}))}removeObserver(t){this.observers.includes(t)&&(this.observers=this.observers.filter(n=>n!==t),this.observers.length||(k(this,Ft)&&(k(this,qs)||Te(this,Fn,SD).call(this)?k(this,Ft).cancel({revert:!0}):k(this,Ft).cancelRetry()),this.scheduleGc()),k(this,ur).notify({type:"observerRemoved",query:this,observer:t}))}getObserversCount(){return this.observers.length}invalidate(){this.state.isInvalidated||Te(this,Fn,_a).call(this,{type:"invalidate"})}async fetch(t,n){var u,d,f,h,p,y,m,v,g,x,b;if(this.state.fetchStatus!=="idle"&&((u=k(this,Ft))==null?void 0:u.status())!=="rejected"){if(this.state.data!==void 0&&(n!=null&&n.cancelRefetch))this.cancel({silent:!0});else if(k(this,Ft))return k(this,Ft).continueRetry(),k(this,Ft).promise}if(t&&this.setOptions(t),!this.options.queryFn){const w=this.observers.find(S=>S.options.queryFn);w&&this.setOptions(w.options)}const r=new AbortController,a=w=>{Object.defineProperty(w,"signal",{enumerable:!0,get:()=>(te(this,qs,!0),r.signal)})},i=()=>{const w=yD(this.options,n),A=(()=>{const O={client:k(this,Hs),queryKey:this.queryKey,meta:this.meta};return a(O),O})();return te(this,qs,!1),this.options.persister?this.options.persister(w,A,this):w(A)},o=(()=>{const w={fetchOptions:n,options:this.options,queryKey:this.queryKey,client:k(this,Hs),state:this.state,fetchFn:i};return a(w),w})(),c=k(this,Ll)==="infinite"?rU(this.options.pages):this.options.behavior;c==null||c.onFetch(o,this),te(this,Il,this.state),(this.state.fetchStatus==="idle"||this.state.fetchMeta!==((d=o.fetchOptions)==null?void 0:d.meta))&&Te(this,Fn,_a).call(this,{type:"fetch",meta:(f=o.fetchOptions)==null?void 0:f.meta}),te(this,Ft,xD({initialPromise:n==null?void 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i=t.error;return{...r,error:i,errorUpdateCount:r.errorUpdateCount+1,errorUpdatedAt:Date.now(),fetchFailureCount:r.fetchFailureCount+1,fetchFailureReason:i,fetchStatus:"idle",status:"error",isInvalidated:!0};case"invalidate":return{...r,isInvalidated:!0};case"setState":return{...r,...t.state}}};this.state=n(this.state),en.batch(()=>{this.observers.forEach(r=>{r.onQueryUpdate()}),k(this,ur).notify({query:this,type:"updated",action:t})})},sM);function wD(e,t){return{fetchFailureCount:0,fetchFailureReason:null,fetchStatus:vD(t.networkMode)?"fetching":"paused",...e===void 0&&{error:null,status:"pending"}}}function CO(e,t){return{data:e,dataUpdatedAt:t??Date.now(),error:null,isInvalidated:!1,status:"success"}}function _O(e){const t=typeof e.initialData=="function"?e.initialData():e.initialData,n=t!==void 0,r=n?typeof 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Proxy(t,{get:(r,a)=>(this.trackProp(a),n==null||n(a),a==="promise"&&(this.trackProp("data"),!this.options.experimental_prefetchInRender&&k(this,Ra).status==="pending"&&k(this,Ra).reject(new Error("experimental_prefetchInRender feature flag is not enabled"))),Reflect.get(r,a))})}trackProp(t){k(this,Fl).add(t)}getCurrentQuery(){return k(this,_e)}refetch({...t}={}){return this.fetch({...t})}fetchOptimistic(t){const n=k(this,Nn).defaultQueryOptions(t),r=k(this,Nn).getQueryCache().build(k(this,Nn),n);return r.fetch().then(()=>this.createResult(r,n))}fetch(t){return Te(this,Ue,Bu).call(this,{...t,cancelRefetch:t.cancelRefetch??!0}).then(()=>(this.updateResult(),k(this,hn)))}createResult(t,n){var E;const r=k(this,_e),a=this.options,i=k(this,hn),s=k(this,Ks),o=k(this,zl),u=t!==r?t.state:k(this,Mf),{state:d}=t;let f={...d},h=!1,p;if(n._optimisticResults){const T=this.hasListeners(),P=!T&&PO(t,n),C=T&&MO(t,r,n,a);(P||C)&&(f={...f,...wD(d.data,t.options)}),n._optimisticResults==="isRestoring"&&(f.fetchStatus="idle")}let{error:y,errorUpdatedAt:m,status:v}=f;p=f.data;let g=!1;if(n.placeholderData!==void 0&&p===void 0&&v==="pending"){let T;i!=null&&i.isPlaceholderData&&n.placeholderData===(o==null?void 0:o.placeholderData)?(T=i.data,g=!0):T=typeof n.placeholderData=="function"?n.placeholderData((E=k(this,Ul))==null?void 0:E.state.data,k(this,Ul)):n.placeholderData,T!==void 0&&(v="success",p=d0(i==null?void 0:i.data,T,n),h=!0)}if(n.select&&p!==void 0&&!g)if(i&&p===(s==null?void 0:s.data)&&n.select===k(this,Rf))p=k(this,Bl);else try{te(this,Rf,n.select),p=n.select(p),p=d0(i==null?void 0:i.data,p,n),te(this,Bl,p),te(this,Pi,null)}catch(T){te(this,Pi,T)}k(this,Pi)&&(y=k(this,Pi),p=k(this,Bl),m=Date.now(),v="error");const x=f.fetchStatus==="fetching",b=v==="pending",w=v==="error",S=b&&x,A=p!==void 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N}updateResult(){const t=k(this,hn),n=this.createResult(k(this,_e),this.options);if(te(this,Ks,k(this,_e).state),te(this,zl,this.options),k(this,Ks).data!==void 0&&te(this,Ul,k(this,_e)),c0(n,t))return;te(this,hn,n);const r=()=>{if(!t)return!0;const{notifyOnChangeProps:a}=this.options,i=typeof a=="function"?a():a;if(i==="all"||!i&&!k(this,Fl).size)return!0;const s=new Set(i??k(this,Fl));return this.options.throwOnError&&s.add("error"),Object.keys(k(this,hn)).some(o=>{const c=o;return k(this,hn)[c]!==t[c]&&s.has(c)})};Te(this,Ue,jD).call(this,{listeners:r()})}onQueryUpdate(){this.updateResult(),this.hasListeners()&&Te(this,Ue,g0).call(this)}},Nn=new WeakMap,_e=new WeakMap,Mf=new WeakMap,hn=new WeakMap,Ks=new WeakMap,zl=new WeakMap,Ra=new WeakMap,Pi=new WeakMap,Rf=new WeakMap,Bl=new WeakMap,Ul=new WeakMap,Gs=new WeakMap,Ys=new WeakMap,Mi=new WeakMap,Fl=new WeakMap,Ue=new WeakSet,Bu=function(t){Te(this,Ue,b0).call(this);let n=k(this,_e).fetch(this.options,t);return 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\`/\`\` and will default to "${Cp}"`),null):e}function T7(e,t){let n,r,a,i,s;if(S7(e)){let o=e.getAttribute("action");r=o?ni(o,t):null,n=e.getAttribute("method")||Tp,a=nx(e.getAttribute("enctype"))||Cp,i=new FormData(e)}else if(b7(e)||w7(e)&&(e.type==="submit"||e.type==="image")){let o=e.form;if(o==null)throw new Error('Cannot submit a + + + {err && ( +
+ {err} +
+ )} + + {isGlm && ( +
+ GLM(glm4:9b)은 약 5.5GB 로드로 현재 서버 RAM(가용 ~2GB)을 초과합니다. RAM 증설 전까지 콜드로드 실패 시 Ollama 소형모델로 폴백합니다. +
+ )} + + {(showKeyFallback || showDisabledFallback) && ( +
+ {showKeyFallback + ? 'Claude API 키가 설정되지 않아 Ollama(온프레미스)로 폴백 동작합니다. 서버 환경변수 ANTHROPIC_API_KEY 설정 후 사용하세요.' + : 'AI 기능이 비활성 상태입니다. 모든 AI 결과는 규칙 기반(degraded)으로 동작합니다.'} +
+ )} + +
+ {/* ── 제공자 & 모델 ── */} +
+

+ 제공자 & 모델 +

+ +
+ {PROVIDERS.map(p => ( + + ))} +
+ + {/* Ollama 계열 — 텍스트 모델 읽기 전용 표시 */} + {!isClaude && ( +
+ +
+ {ollamaTextModel || 'llama3.2:1b'} +
+

+ 온프레미스 모델 — 외부 호출 없음. glm 은 RAM 초과 시 소형모델로 폴백. +

+
+ )} + + {/* Claude — 모델 셀렉트 + 키 배지(값 비노출) */} + {isClaude && ( + <> +
+ + +
+
+ + + {claudeKeySet ? '설정됨' : '미설정'} + +

+ 키는 서버 환경변수(ANTHROPIC_API_KEY)로만 주입되며 화면·응답·로그에 노출되지 않습니다. +

+
+ + )} + +
+ + {saved && 저장됨} +
+
+ + {/* ── 연결 테스트 ── */} +
+

+ 연결 테스트 +

+

+ 저장된 설정 기준으로 선택한 제공자에 짧은 ping 을 보내 연결을 확인합니다(요약 결과만). +

+
+ + {testResult && ( + + {testResult.message} + + )} +
+

+ 먼저 변경 사항을 저장한 뒤 테스트하세요. Claude 실패 시 Ollama 로 자동 폴백합니다. +

+ + {/* 피드백(로컬 DuckDB + 중앙 rag) — 설정/응답 품질 개선 루프 */} +
+ +
+
+
+ + ) +} diff --git a/frontend/src/api/adminAiConfig.ts b/frontend/src/api/adminAiConfig.ts new file mode 100644 index 0000000..b11111f --- /dev/null +++ b/frontend/src/api/adminAiConfig.ts @@ -0,0 +1,51 @@ +// AI 플랫폼(LLM Provider) 설정(ADMIN) API — /api/admin/ai-config (ADMIN 전용). +// API 키 값은 응답에 절대 포함되지 않음(claudeKeySet 플래그만). +// PUT 은 provider/claudeModel(+선택 ollamaTextModel) 전송. +// test 는 저장된 설정 기준 선택 provider 짧은 ping. +// 레퍼런스: guardia-ocr frontend/src/api/adminAiConfig.ts (Mall same-origin axios 패턴, glm 추가). +import api from './client' + +/** LLM 제공자: ollama(온프레미스)/claude(외부)/qwen3/deepseek/glm(온프레미스). */ +export type AiProvider = 'ollama' | 'claude' | 'qwen3' | 'deepseek' | 'glm' + +/** 화이트리스트 Claude 모델 ID. */ +export type ClaudeModel = 'claude-sonnet-4-6' | 'claude-haiku-4-5' | 'claude-opus-4-8' + +/** AI 설정 조회 DTO — API 키 값 미반환(claudeKeySet 으로 설정 여부만). */ +export interface AiConfigDto { + provider: AiProvider + /** Ollama 텍스트 모델(provider 별 해석 결과, 읽기 전용 표시). */ + ollamaTextModel: string + /** 선택된 Claude 모델 ID(미설정 시 서버 기본 claude-sonnet-4-6). */ + claudeModel: string + /** 서버 환경변수 ANTHROPIC_API_KEY 존재 여부(값·길이·마스킹 일절 미포함). */ + claudeKeySet: boolean + /** 전역 AI 사용 여부(off 시 규칙 기반 degraded). */ + aiEnabled: boolean +} + +/** 저장 요청 — provider 필수, claudeModel/ollamaTextModel 선택. */ +export interface AiConfigUpdateRequest { + provider: AiProvider + claudeModel?: ClaudeModel + ollamaTextModel?: string +} + +/** 연결 테스트 결과. */ +export interface AiTestResult { + ok: boolean + degraded: boolean + message: string +} + +/** GET /api/admin/ai-config — 현재 AI 설정(API 키 값 제외). */ +export const getAiConfig = () => + api.get('/api/admin/ai-config').then(r => r.data?.data as AiConfigDto) + +/** PUT /api/admin/ai-config — provider/claudeModel 저장 → 반영분. */ +export const updateAiConfig = (body: AiConfigUpdateRequest) => + api.put('/api/admin/ai-config', body).then(r => r.data?.data as AiConfigDto) + +/** POST /api/admin/ai-config/test — 저장된 설정 기준 선택 provider 짧은 ping. */ +export const testAiConfig = () => + api.post('/api/admin/ai-config/test', {}).then(r => r.data?.data as AiTestResult) diff --git a/frontend/src/api/aiFeedback.ts b/frontend/src/api/aiFeedback.ts new file mode 100644 index 0000000..a4310d7 --- /dev/null +++ b/frontend/src/api/aiFeedback.ts @@ -0,0 +1,26 @@ +// AI 답변 피드백 수집 API — /api/ai/feedback (인증 사용자). +// 👍/👎(+교정)을 로컬 DuckDB + 중앙 guardia-rag 로 전달(둘 다). PII 는 서버에서 마스킹. +import api from './client' + +export interface AiFeedbackRequest { + /** 기능 식별자(예: recommend / review-summary / cs-reply / card-message / ai-config). */ + feature: string + /** 사용자 질의/프롬프트(선택). */ + question?: string + /** AI 답변(선택). */ + answer?: string + /** 평가: up(👍) / down(👎). */ + verdict: 'up' | 'down' + /** 교정 내용(선택). */ + correction?: string +} + +export interface AiFeedbackResult { + storedLocal: boolean + forwardedCentral: boolean + verdict: string +} + +/** POST /api/ai/feedback — 피드백 기록(로컬 DuckDB + 중앙 rag). */ +export const sendAiFeedback = (body: AiFeedbackRequest) => + api.post('/api/ai/feedback', body).then(r => r.data?.data as AiFeedbackResult) diff --git a/frontend/src/components/AiFeedback.tsx b/frontend/src/components/AiFeedback.tsx new file mode 100644 index 0000000..00ad3d1 --- /dev/null +++ b/frontend/src/components/AiFeedback.tsx @@ -0,0 +1,95 @@ +// AI 답변 피드백 UI(👍/👎 + 교정) — 재사용 컴포넌트. +// AI 결과 화면 하단에 배치. 로컬 DuckDB + 중앙 guardia-rag 로 전달(둘 다). PII 는 서버 마스킹. +import { useState } from 'react' +import { ThumbsUp, ThumbsDown } from 'lucide-react' +import { sendAiFeedback } from '../api/aiFeedback' + +interface Props { + /** 기능 식별자(예: recommend / review-summary / cs-reply / ai-config). */ + feature: string + /** 사용자 질의/프롬프트(선택). */ + question?: string + /** AI 답변(선택). */ + answer?: string + className?: string +} + +/** + * 👍/👎 피드백 위젯. 👎 선택 시 교정 입력을 노출한다. + * 서버(/api/ai/feedback)가 로컬 DuckDB 기록 + 중앙 rag 전달을 동시에 수행한다. + */ +export default function AiFeedback({ feature, question, answer, className }: Props) { + const [verdict, setVerdict] = useState<'up' | 'down' | null>(null) + const [correction, setCorrection] = useState('') + const [sent, setSent] = useState(false) + const [busy, setBusy] = useState(false) + + const submit = async (v: 'up' | 'down', corr?: string) => { + setBusy(true) + try { + await sendAiFeedback({ feature, question, answer, verdict: v, correction: corr }) + setSent(true) + } catch { + // 피드백 실패는 조용히 무시(본기능 무영향) + setSent(true) + } finally { + setBusy(false) + } + } + + const pick = (v: 'up' | 'down') => { + setVerdict(v) + if (v === 'up') submit('up') + } + + if (sent) { + return
피드백 감사합니다.
+ } + + return ( +
+
+ 이 답변이 도움이 되었나요? + + +
+ {verdict === 'down' && ( +
+ setCorrection(e.target.value)} + placeholder="더 나은 답변/교정 (선택)" + className="flex-1 px-3 py-1.5 rounded-lg bg-ink border border-edge text-xs focus:border-brand outline-none" + /> + +
+ )} +
+ ) +}