diff --git a/backend/pom.xml b/backend/pom.xml index 3e571a0..6958335 100644 --- a/backend/pom.xml +++ b/backend/pom.xml @@ -24,6 +24,8 @@ io.jsonwebtokenjjwt-jackson0.12.6runtime org.projectlomboklomboktrue com.fasterxml.jackson.corejackson-databind + + org.duckdbduckdb_jdbc1.1.3 diff --git a/backend/src/main/java/com/zioinfo/fa/ai/controller/AiConfigController.java b/backend/src/main/java/com/zioinfo/fa/ai/controller/AiConfigController.java new file mode 100644 index 0000000..f7a7913 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/controller/AiConfigController.java @@ -0,0 +1,54 @@ +package com.zioinfo.fa.ai.controller; + +import com.zioinfo.fa.ai.dto.AiConfigDto; +import com.zioinfo.fa.ai.dto.AiConfigUpdateRequest; +import com.zioinfo.fa.ai.service.AiConfigService; +import com.zioinfo.fa.common.ApiResponse; +import com.zioinfo.fa.common.audit.AuditService; +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-FA] + * SecurityConfig {@code /api/admin/ai-config/** hasRole(ADMIN)} 게이트로 보호된다. + * + *

fa_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. + * + *

+ */ +@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/fa/ai/controller/AiFeedbackController.java b/backend/src/main/java/com/zioinfo/fa/ai/controller/AiFeedbackController.java new file mode 100644 index 0000000..8c7709a --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/controller/AiFeedbackController.java @@ -0,0 +1,61 @@ +package com.zioinfo.fa.ai.controller; + +import com.zioinfo.fa.ai.dto.AiFeedbackRequest; +import com.zioinfo.fa.ai.service.LearningStore; +import com.zioinfo.fa.ai.service.RagFeedbackClient; +import com.zioinfo.fa.common.ApiResponse; +import com.zioinfo.fa.common.audit.AuditService; +import lombok.RequiredArgsConstructor; +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 java.util.LinkedHashMap; +import java.util.Map; + +/** + * AI 답변 피드백 수집(인증 사용자). [GUARDiA-FA] + * + *

{@code POST /api/ai/feedback} → ① 로컬 DuckDB 학습 저장소({@link LearningStore}) 기록 + + * ② 중앙 guardia-rag {@code /feedback} 전달({@link RagFeedbackClient}) 을 둘 다 수행한다. + * 저장 전 PII 마스킹. 저장소/중앙 미가용이어도 요청은 성공 처리(내결함성)하고 각 stored 플래그로 상태를 반환한다. + * + *

SecurityConfig {@code /api/ai/** authenticated} 게이트. verdict 는 up|down. + */ +@RestController +@RequestMapping("/api/ai") +@RequiredArgsConstructor +public class AiFeedbackController { + + private final LearningStore learningStore; + private final RagFeedbackClient ragFeedbackClient; + + @PostMapping("/feedback") + public ApiResponse> feedback(@RequestBody AiFeedbackRequest req) { + String verdict = normalizeVerdict(req.verdict()); + String actor = AuditService.currentActor(); + + // ① 로컬 DuckDB 기록(PII 마스킹은 저장소 내부에서 수행) + learningStore.recordFeedback( + req.feature(), req.question(), req.answer(), verdict, req.correction(), actor); + + // ② 중앙 guardia-rag 전달(둘 다) — 실패는 degraded 로만 표시, 요청은 성공 + Map central = ragFeedbackClient.forward( + req.answerId(), req.question(), req.answer(), verdict, req.correction(), actor); + + Map out = new LinkedHashMap<>(); + out.put("verdict", verdict); + out.put("localStored", learningStore.isAvailable()); + out.put("centralStored", Boolean.TRUE.equals(central.get("stored"))); + return ApiResponse.ok(out); + } + + private static String normalizeVerdict(String v) { + if (v == null) { + return "up"; + } + String s = v.trim().toLowerCase(); + return ("down".equals(s) || "bad".equals(s) || "👎".equals(s)) ? "down" : "up"; + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/ai/dto/AiConfigDto.java b/backend/src/main/java/com/zioinfo/fa/ai/dto/AiConfigDto.java new file mode 100644 index 0000000..be7cefa --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/dto/AiConfigDto.java @@ -0,0 +1,20 @@ +package com.zioinfo.fa.ai.dto; + +/** + * AI 설정 조회 DTO — API 키 값 미반환(claudeKeySet 으로 설정 여부만). [GUARDiA-FA] + * + * @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) + * @param ramWarning 선택 Ollama 모델이 서버 RAM 여유를 초과할 수 있으면 true(glm4:9b 등 — 콜드로드 폴백 안내) + */ +public record AiConfigDto( + String provider, + String ollamaTextModel, + String claudeModel, + boolean claudeKeySet, + boolean aiEnabled, + boolean ramWarning) { +} diff --git a/backend/src/main/java/com/zioinfo/fa/ai/dto/AiConfigUpdateRequest.java b/backend/src/main/java/com/zioinfo/fa/ai/dto/AiConfigUpdateRequest.java new file mode 100644 index 0000000..34bf14d --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/dto/AiConfigUpdateRequest.java @@ -0,0 +1,14 @@ +package com.zioinfo.fa.ai.dto; + +/** + * AI 설정 저장 요청 — 화이트리스트 검증. [GUARDiA-FA] + * + * @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/fa/ai/dto/AiFeedbackRequest.java b/backend/src/main/java/com/zioinfo/fa/ai/dto/AiFeedbackRequest.java new file mode 100644 index 0000000..0102edd --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/dto/AiFeedbackRequest.java @@ -0,0 +1,22 @@ +package com.zioinfo.fa.ai.dto; + +/** + * AI 답변 피드백 요청(👍/👎 + 교정). [GUARDiA-FA] + * + *

로컬 DuckDB 학습 저장소 기록 + 중앙 guardia-rag {@code /feedback} 전달(둘 다). 저장 전 PII 마스킹. + * + * @param feature 기능 구분(quality_defect·equipment_predict·inventory_optimize 등) + * @param question 사용자 질의/컨텍스트(선택) + * @param answer AI 답변(선택) + * @param verdict 평가(up|down) + * @param correction 교정 텍스트(선택, 👎 시 권장) + * @param answerId 중앙 rag answer_id(있으면 연계) + */ +public record AiFeedbackRequest( + String feature, + String question, + String answer, + String verdict, + String correction, + String answerId) { +} diff --git a/backend/src/main/java/com/zioinfo/fa/ai/service/AiConfigService.java b/backend/src/main/java/com/zioinfo/fa/ai/service/AiConfigService.java new file mode 100644 index 0000000..4112198 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/service/AiConfigService.java @@ -0,0 +1,266 @@ +package com.zioinfo.fa.ai.service; + +import com.zioinfo.fa.ai.dto.AiConfigDto; +import com.zioinfo.fa.ai.dto.AiConfigUpdateRequest; +import com.zioinfo.fa.common.ai.ClaudeTextClient; +import com.zioinfo.fa.common.ai.OllamaTextClient; +import com.zioinfo.fa.common.ai.TextAiClient.GenResult; +import com.zioinfo.fa.common.audit.AuditService; +import com.zioinfo.fa.domain.FaSetting; +import com.zioinfo.fa.mapper.SettingMapper; +import lombok.RequiredArgsConstructor; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.util.Set; + +/** + * AI provider 런타임 설정(fa_setting, key='ai.*') 단일 출처 서비스. [GUARDiA-FA] + * + *

해상도: DB(fa_setting) 우선 → 미설정 시 기본값/env 폴백. 시드(db/104) 미적용/키 비움 상태에서도 + * 기존 Ollama 동작이 바이트 동일하게 유지된다(provider 기본 ollama). + * + *

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 여유 초과 가능 → 화이트리스트엔 등록하되 {@code ramWarning} 배지로 안내. + * + *

레퍼런스: guardia-ocr {@code ai.service.AiConfigService} 미러(provider 에 glm 추가). + */ +@Service +@RequiredArgsConstructor +public class AiConfigService { + + // --- fa_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 모델(서버 RAM 제약 준수) + 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"; // RAM 여유 필요(콜드로드 실패 시 폴백) + public static final String MODEL_DEFAULT_OLLAMA = "llama3.2:1b"; + + /** 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(MODEL_QWEN3, MODEL_DEEPSEEK, MODEL_GLM, MODEL_DEFAULT_OLLAMA); + /** RAM 여유 초과 가능 모델(선택 허용하되 배지 경고). */ + public static final Set RAM_HEAVY_MODELS = Set.of(MODEL_GLM); + + private final SettingMapper repo; + private final ClaudeTextClient claudeClient; + private final OllamaTextClient ollamaTextClient; // 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 이면 고정 소형 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; + } + + /** claude 폴백 시 사용할 안전 소형 모델(RAM 안전). glm 등 무거운 선택과 무관하게 llama3.2:1b 우선. */ + public String fallbackOllamaModel() { + String v = dbVal(K_OLLAMA_TEXT_MODEL); + if (v != null && ALLOWED_OLLAMA_MODELS.contains(v.trim()) && !RAM_HEAVY_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(); + } + + /** 선택된 Ollama 모델이 서버 RAM 여유를 초과할 수 있는지(glm4:9b 등). */ + public boolean ramWarning() { + return RAM_HEAVY_MODELS.contains(ollamaTextModel()); + } + + /** + * 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(), + ramWarning()); + } + + /** + * 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 = ollamaTextClient.generateText("ping", model); + long ms = System.currentTimeMillis() - start; + if (txt != null && !txt.isBlank()) { + return new TestResult(true, false, "정상 · " + model + " · " + fmtMs(ms)); + } + String tail = RAM_HEAVY_MODELS.contains(model) ? " (RAM 여유 필요 모델 — 콜드로드 실패 시 소형 모델로 폴백)" : ""; + return new TestResult(false, true, "Ollama 연결 실패 또는 모델 미가용 — 설정을 확인하세요." + tail); + } + + 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) { + FaSetting c = repo.findByKey(key); + if (c == null) { + return null; + } + String v = c.getSettingValue(); + return (v != null && !v.isBlank()) ? v : null; + } + + private void upsertAudited(String key, String val, String actor) { + FaSetting before = repo.findByKey(key); + String prev = before == null ? "(none)" : before.getSettingValue(); + 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/fa/ai/service/AiTextRouter.java b/backend/src/main/java/com/zioinfo/fa/ai/service/AiTextRouter.java new file mode 100644 index 0000000..b9f4a08 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/service/AiTextRouter.java @@ -0,0 +1,86 @@ +package com.zioinfo.fa.ai.service; + +import com.zioinfo.fa.common.ai.ClaudeTextClient; +import com.zioinfo.fa.common.ai.OllamaTextClient; +import com.zioinfo.fa.common.ai.TextAiClient; +import com.zioinfo.fa.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(불량분석·설비예측·재고최적화 등). [GUARDiA-FA] + * {@link AiConfigService#provider()} 를 읽어 Claude ↔ Ollama(qwen3/deepseek/glm/기존소형) 를 선택한다. + * + *

선택/폴백 정책(AI_PLATFORM_SPEC §3): + *

    + *
  • provider=claude · 키 설정됨 · AI 활성 → {@link ClaudeTextClient}. 실패(degraded)면 + * Ollama 자동 폴백(선택모델 → 안전 소형모델 llama3.2:1b).
    • + *
  • provider=qwen3/deepseek/glm/ollama → 해당 Ollama 텍스트 모델로 generate(실패 시 소형모델 폴백).
    • + *
  • provider=claude 인데 키 미설정 → 곧장 Ollama(폴백모델).
    • + *
+ * 모든 경로 실패 시 {@code GenResult.degraded=true·text=null} → 호출자가 기존 규칙기반 폴백 유지(무회귀). + * 각 생성 시도는 {@link LearningStore#recordInfer} 로 로컬 DuckDB 에 기록한다(내결함성 — 실패 삼킴). + * + *

레퍼런스: guardia-ocr {@code ai.service.AiTextRouter} 미러(FA Ollama 텍스트 경로·infer 로깅 추가). + */ +@Slf4j +@Service +@RequiredArgsConstructor +public class AiTextRouter implements TextAiClient { + + private final AiConfigService aiConfig; + private final ClaudeTextClient claudeClient; + private final OllamaTextClient ollamaTextClient; + private final LearningStore 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); + long ms = System.currentTimeMillis() - start; + boolean ok = !r.degraded() && r.text() != null && !r.text().isBlank(); + learningStore.recordInfer("claude", model, ms, !ok); + if (ok) { + return r; + } + // claude 실패/빈응답 → 온프레미스 Ollama 자동 폴백(선택모델 → 안전 소형모델). + log.warn("Claude path degraded -> Ollama fallback"); + GenResult fb = ollamaGenerate("claude-fallback", prompt, aiConfig.ollamaTextModel()); + if (!fb.degraded()) { + return fb; + } + return ollamaGenerate("claude-fallback", prompt, aiConfig.fallbackOllamaModel()); + } + // provider = ollama / qwen3 / deepseek / glm → 해당 Ollama 모델 + String provider = aiConfig.provider(); + GenResult r = ollamaGenerate(provider, prompt, aiConfig.ollamaTextModel()); + if (!r.degraded()) { + return r; + } + // 선택 모델 실패(glm4:9b RAM 초과 등) → 안전 소형모델 최종 폴백. + String safe = aiConfig.fallbackOllamaModel(); + if (!safe.equals(aiConfig.ollamaTextModel())) { + return ollamaGenerate(provider, prompt, safe); + } + return r; + } + + /** Ollama 평문 generate 를 GenResult 로 래핑(실패 시 degraded) + infer 로깅. */ + private GenResult ollamaGenerate(String provider, String prompt, String model) { + long start = System.currentTimeMillis(); + String txt = ollamaTextClient.generateText(prompt, model); + long ms = System.currentTimeMillis() - start; + boolean degraded = (txt == null || txt.isBlank()); + learningStore.recordInfer(provider, model, ms, degraded); + if (degraded) { + return new GenResult(null, true); + } + return new GenResult(txt, false); + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/ai/service/LearningStore.java b/backend/src/main/java/com/zioinfo/fa/ai/service/LearningStore.java new file mode 100644 index 0000000..fcce25e --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/service/LearningStore.java @@ -0,0 +1,131 @@ +package com.zioinfo.fa.ai.service; + +import com.zioinfo.fa.common.ai.PiiMasker; +import jakarta.annotation.PostConstruct; +import lombok.extern.slf4j.Slf4j; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.io.File; +import java.sql.Connection; +import java.sql.DriverManager; +import java.sql.PreparedStatement; +import java.sql.Statement; +import java.sql.Timestamp; + +/** + * 로컬 임베디드 DuckDB AI 학습·추론 저장소. [GUARDiA-FA] + * + *

AI 피드백(ai_feedback)과 추론 로그(ai_infer_log)를 솔루션별 격리 DuckDB 파일 + * ({@code /opt/guardia-fa/data/fa_learning.duckdb})에 기록한다. 스키마는 멱등 생성한다. + * PII·자격증명은 {@link PiiMasker} 로 마스킹 후 저장한다. + * + *

내결함성 불변: 저장소 초기화/기록 실패는 절대 요청을 깨지 않는다(모든 오류 삼킴·요약 로그만). + * DuckDB 파일 경로가 없거나 드라이버 미가용이면 저장을 조용히 비활성화하고 서비스는 정상 동작한다. + * + *

스펙: AI_PLATFORM_SPEC.md §5 (전 솔루션 DuckDB 로컬 학습 저장소). + */ +@Slf4j +@Service +public class LearningStore { + + private static final String SOLUTION = "fa"; + private static final int MAX_FIELD = 4000; + + @Value("${fa.learning.duckdb-path:/opt/guardia-fa/data/fa_learning.duckdb}") + private String duckdbPath; + + /** 저장 가능 여부(초기화 성공 시 true). 실패 시 조용히 비활성. */ + private volatile boolean available = false; + + @PostConstruct + void init() { + try { + File f = new File(duckdbPath); + File parent = f.getParentFile(); + if (parent != null && !parent.exists()) { + // best-effort: 부모 디렉터리 생성(권한 없으면 무시하고 비활성). + if (!parent.mkdirs() && !parent.exists()) { + log.warn("[LearningStore] DuckDB 디렉터리 생성 불가 — 학습 저장 비활성"); + return; + } + } + try (Connection c = open(); Statement st = c.createStatement()) { + st.execute("CREATE SEQUENCE IF NOT EXISTS ai_feedback_seq"); + st.execute("CREATE SEQUENCE IF NOT EXISTS ai_infer_seq"); + st.execute("CREATE TABLE IF NOT EXISTS ai_feedback (" + + "id BIGINT DEFAULT nextval('ai_feedback_seq') 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 DEFAULT nextval('ai_infer_seq') PRIMARY KEY," + + "ts TIMESTAMP, provider VARCHAR, model VARCHAR," + + "latency_ms BIGINT, degraded BOOLEAN)"); + } + available = true; + log.info("[LearningStore] DuckDB 학습 저장소 준비 완료: {}", duckdbPath); + } catch (Throwable e) { + // 드라이버 미가용/권한/경로 문제 — 조용히 비활성(서비스 무영향). + available = false; + log.warn("[LearningStore] DuckDB 초기화 실패 — 학습 저장 비활성: {}", e.getClass().getSimpleName()); + } + } + + public boolean isAvailable() { + return available; + } + + /** 피드백 1건 기록(PII 마스킹). 실패는 삼킨다. */ + public synchronized void recordFeedback(String feature, String question, String answer, + String verdict, String correction, String userRef) { + if (!available) { + return; + } + String sql = "INSERT INTO ai_feedback" + + "(ts, solution, feature, question, answer, verdict, correction, user_masked)" + + " VALUES (?,?,?,?,?,?,?,?)"; + try (Connection c = open(); PreparedStatement ps = c.prepareStatement(sql)) { + ps.setTimestamp(1, new Timestamp(System.currentTimeMillis())); + ps.setString(2, SOLUTION); + ps.setString(3, clip(feature)); + ps.setString(4, PiiMasker.maskAndClip(question, MAX_FIELD)); + ps.setString(5, PiiMasker.maskAndClip(answer, MAX_FIELD)); + ps.setString(6, clip(verdict)); + ps.setString(7, PiiMasker.maskAndClip(correction, MAX_FIELD)); + ps.setString(8, PiiMasker.maskAndClip(userRef, 200)); + ps.executeUpdate(); + } catch (Throwable e) { + log.warn("[LearningStore] 피드백 기록 실패(무시): {}", e.getClass().getSimpleName()); + } + } + + /** 추론 1건 기록. 실패는 삼킨다. */ + public synchronized void recordInfer(String provider, String model, long latencyMs, boolean degraded) { + if (!available) { + return; + } + String sql = "INSERT INTO ai_infer_log(ts, provider, model, latency_ms, degraded) VALUES (?,?,?,?,?)"; + try (Connection c = open(); PreparedStatement ps = c.prepareStatement(sql)) { + ps.setTimestamp(1, new Timestamp(System.currentTimeMillis())); + ps.setString(2, clip(provider)); + ps.setString(3, clip(model)); + ps.setLong(4, latencyMs); + ps.setBoolean(5, degraded); + ps.executeUpdate(); + } catch (Throwable e) { + log.warn("[LearningStore] 추론 로그 기록 실패(무시): {}", e.getClass().getSimpleName()); + } + } + + private Connection open() throws Exception { + return DriverManager.getConnection("jdbc:duckdb:" + duckdbPath); + } + + private static String clip(String s) { + if (s == null) { + return null; + } + return s.length() > 200 ? s.substring(0, 200) : s; + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/ai/service/RagFeedbackClient.java b/backend/src/main/java/com/zioinfo/fa/ai/service/RagFeedbackClient.java new file mode 100644 index 0000000..e034188 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/ai/service/RagFeedbackClient.java @@ -0,0 +1,78 @@ +package com.zioinfo.fa.ai.service; + +import com.zioinfo.fa.common.ai.PiiMasker; +import lombok.extern.slf4j.Slf4j; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.HttpEntity; +import org.springframework.http.HttpHeaders; +import org.springframework.http.MediaType; +import org.springframework.stereotype.Service; +import org.springframework.web.client.RestTemplate; + +import java.time.Duration; +import java.util.LinkedHashMap; +import java.util.Map; + +/** + * 중앙 guardia-rag {@code /feedback} 얇은 전달 클라이언트 (solution=fa 격리). [GUARDiA-FA] + * + *

피드백을 로컬 DuckDB 기록과 동시에 중앙 학습·평가 게이트(guardia-rag, 기본 :8020)로 전달한다. + * 미가용/타임아웃 시 예외를 전파하지 않고 {@code {stored:false, degraded:true}} 를 돌려준다(로컬 기록은 유지). + * 전송 전 PII 마스킹. 온프레미스 전용(외부 API 아님). + */ +@Slf4j +@Service +public class RagFeedbackClient { + + @Value("${guardia.rag.base-url:http://localhost:8020}") + private String baseUrl; + + @Value("${guardia.rag.enabled:true}") + private boolean enabled; + + @Value("${guardia.rag.timeout-ms:2500}") + private long timeoutMs; + + /** 중앙 rag 로 피드백 전달. 실패는 삼키고 degraded 반환. */ + public Map forward(String answerId, String question, String answer, + String verdict, String correction, String userRef) { + if (!enabled) { + return Map.of("stored", false, "degraded", true); + } + try { + Map body = new LinkedHashMap<>(); + body.put("solution", "fa"); + if (answerId != null) body.put("answer_id", answerId); + if (question != null) body.put("query", PiiMasker.mask(question)); + if (answer != null) body.put("answer", PiiMasker.mask(answer)); + body.put("verdict", verdict); + if (correction != null) body.put("correction", PiiMasker.mask(correction)); + if (userRef != null) body.put("user_ref", PiiMasker.maskAndClip(userRef, 200)); + + RestTemplate local = new RestTemplate(); + local.setRequestFactory(factory(timeoutMs)); + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + headers.set("X-Solution-Key", "fa"); + @SuppressWarnings("rawtypes") + Map res = local.postForObject(baseUrl + "/rag/feedback", new HttpEntity<>(body, headers), Map.class); + if (res == null) { + return Map.of("stored", false, "degraded", true); + } + @SuppressWarnings("unchecked") + Map out = res; + return out; + } catch (Exception e) { + log.warn("중앙 rag /feedback 전달 일시 불가(무시): {}", e.getClass().getSimpleName()); + return Map.of("stored", false, "degraded", true); + } + } + + private static org.springframework.http.client.SimpleClientHttpRequestFactory factory(long timeoutMs) { + org.springframework.http.client.SimpleClientHttpRequestFactory f = + new org.springframework.http.client.SimpleClientHttpRequestFactory(); + f.setConnectTimeout(Duration.ofMillis(Math.min(timeoutMs, 2000))); + f.setReadTimeout(Duration.ofMillis(timeoutMs)); + return f; + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/common/ApiResponse.java b/backend/src/main/java/com/zioinfo/fa/common/ApiResponse.java new file mode 100644 index 0000000..4452eb1 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/ApiResponse.java @@ -0,0 +1,18 @@ +package com.zioinfo.fa.common; + +/** + * 표준 API 응답 봉투. [GUARDiA-FA] + * + *

{@code {success, message, data}} 형태. 프론트(adminAiConfig.ts)는 {@code r.data.data} 로 페이로드를 읽는다. + * 오류 메시지에는 스택트레이스·자격증명·키를 절대 포함하지 않는다(요약만). + */ +public record ApiResponse(boolean success, String message, T data) { + + public static ApiResponse ok(T data) { + return new ApiResponse<>(true, "OK", data); + } + + public static ApiResponse ok(String message, T data) { + return new ApiResponse<>(true, message, data); + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/common/GlobalExceptionHandler.java b/backend/src/main/java/com/zioinfo/fa/common/GlobalExceptionHandler.java new file mode 100644 index 0000000..2d5557a --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/GlobalExceptionHandler.java @@ -0,0 +1,26 @@ +package com.zioinfo.fa.common; + +import lombok.extern.slf4j.Slf4j; +import org.springframework.http.HttpStatus; +import org.springframework.http.ResponseEntity; +import org.springframework.web.bind.annotation.ExceptionHandler; +import org.springframework.web.bind.annotation.RestControllerAdvice; + +/** + * 전역 예외 → 표준 ApiResponse 매핑(요약만·스택트레이스 미노출). [GUARDiA-FA] + * + *

범위 최소화(무회귀): AI 설정 검증에서 던지는 {@link IllegalArgumentException} 만 400 으로 + * 매핑한다(예: ERR-AI-400 화이트리스트 위반). 그 외 예외는 기존 스프링 기본 처리에 위임(다른 엔드포인트 + * 응답 형태를 바꾸지 않음). 메시지에 키·자격증명·스택트레이스는 포함하지 않는다. + */ +@Slf4j +@RestControllerAdvice +public class GlobalExceptionHandler { + + @ExceptionHandler(IllegalArgumentException.class) + public ResponseEntity> handleBadRequest(IllegalArgumentException e) { + String msg = e.getMessage() == null ? "잘못된 요청입니다." : e.getMessage(); + return ResponseEntity.status(HttpStatus.BAD_REQUEST) + .body(new ApiResponse<>(false, msg, null)); + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/common/ai/ClaudeTextClient.java b/backend/src/main/java/com/zioinfo/fa/common/ai/ClaudeTextClient.java new file mode 100644 index 0000000..ec7464f --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/ai/ClaudeTextClient.java @@ -0,0 +1,168 @@ +package com.zioinfo.fa.common.ai; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.zioinfo.fa.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-FA] + * + *

외부 호출 예외 허용: 본 클라이언트는 소유자 승인(폐쇄망 아님)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. + * + *

레퍼런스: guardia-ocr {@code 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. */ + 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/fa/common/ai/OllamaTextClient.java b/backend/src/main/java/com/zioinfo/fa/common/ai/OllamaTextClient.java new file mode 100644 index 0000000..908ed9b --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/ai/OllamaTextClient.java @@ -0,0 +1,96 @@ +package com.zioinfo.fa.common.ai; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import lombok.extern.slf4j.Slf4j; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.http.MediaType; +import org.springframework.stereotype.Service; +import org.springframework.web.client.RestTemplate; +import org.springframework.web.client.RestClientException; +import org.springframework.http.HttpEntity; +import org.springframework.http.HttpHeaders; + +import java.util.LinkedHashMap; +import java.util.Map; + +/** + * 온프레미스 Ollama 평문 텍스트 생성 클라이언트. [GUARDiA-FA] + * + *

AiTextRouter 의 Ollama 경로/폴백 진입점이며 AiConfigService 연결 테스트에도 쓰인다. FA 에는 기존 + * OllamaClient 가 없어 신규 도입한다(기존 서비스의 RestTemplate 직접 호출 스타일과 동일 라이브러리). + * + *

보안 불변: localhost Ollama 만 호출(외부 API 금지). 실패/빈응답/타임아웃 시 {@code null} 반환 + * (예외 미전파·스택트레이스 미노출) → 라우터가 degraded 로 래핑한다. + * + *

레퍼런스: guardia-ocr {@code engine.OllamaOcrService#generateText} 미러(경량화). + */ +@Slf4j +@Service +public class OllamaTextClient { + + private static final ObjectMapper MAPPER = new ObjectMapper(); + + @Value("${ollama.base-url:http://localhost:11434}") + private String ollamaUrl; + + /** 서버 기본 Ollama 텍스트 모델(미지정 시 폴백). */ + @Value("${guardia.ollama-text-model:llama3.2:1b}") + private String defaultTextModel; + + private final RestTemplate rt = new RestTemplate(); + + /** + * 온프레미스 Ollama 평문 텍스트 생성(이미지 없음). + * + * @param prompt 지시문 + * @param model 화이트리스트 검증된 Ollama 텍스트 모델(qwen3:1.7b/deepseek-r1:1.5b/glm4:9b/llama3.2:1b 등) + * @return 생성 텍스트, 실패 시 null + */ + public String generateText(String prompt, String model) { + if (prompt == null || prompt.isBlank()) { + return null; + } + String useModel = (model == null || model.isBlank()) ? defaultTextModel : model.trim(); + try { + Map body = new LinkedHashMap<>(); + body.put("model", useModel); + body.put("prompt", prompt); + body.put("stream", false); + HttpHeaders headers = new HttpHeaders(); + headers.setContentType(MediaType.APPLICATION_JSON); + @SuppressWarnings("rawtypes") + Map resp = rt.postForObject(ollamaUrl + "/api/generate", new HttpEntity<>(body, headers), Map.class); + if (resp == null) { + return null; + } + Object response = resp.get("response"); + if (response == null) { + return null; + } + String txt = response.toString().trim(); + return txt.isBlank() ? null : txt; + } catch (RestClientException e) { + // 스택트레이스 미노출 — 요약 로그만 + log.warn("Ollama 텍스트 생성 실패: {}", e.getClass().getSimpleName()); + return null; + } catch (Exception e) { + log.warn("Ollama 텍스트 생성 실패: {}", e.getClass().getSimpleName()); + return null; + } + } + + /** 진단용 파싱 헬퍼(향후 확장). 현재 미사용이지만 응답 파싱 규칙 일원화. */ + static String parseResponse(String raw) { + if (raw == null || raw.isBlank()) { + return null; + } + try { + JsonNode root = MAPPER.readTree(raw); + String response = root.path("response").asText(""); + return response.isBlank() ? null : response.trim(); + } catch (Exception e) { + return null; + } + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/common/ai/PiiMasker.java b/backend/src/main/java/com/zioinfo/fa/common/ai/PiiMasker.java new file mode 100644 index 0000000..0e4ba1c --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/ai/PiiMasker.java @@ -0,0 +1,43 @@ +package com.zioinfo.fa.common.ai; + +/** + * 학습 저장 전 PII·자격증명 마스킹 유틸. [GUARDiA-FA] + * + *

DuckDB 로컬 학습 저장소(ai_feedback)와 중앙 rag 전달 전에 사용자 입력/답변에서 개인정보·비밀번호· + * 내부 IP 등을 마스킹한다. 규칙 기반(정규식) — 외부 호출 없음. 완전 무해화는 아니며 저장 위험 최소화 목적. + */ +public final class PiiMasker { + + private PiiMasker() { + } + + /** 주민번호·카드·전화·이메일·IPv4·비밀번호 키워드 마스킹. null 안전. */ + public static String mask(String s) { + if (s == null || s.isBlank()) { + return s; + } + String out = s; + // 주민등록번호 6-7 + out = out.replaceAll("\\b\\d{6}[-\\s]?\\d{7}\\b", "######-#######"); + // 카드번호 4-4-4-4 + out = out.replaceAll("\\b\\d{4}[-\\s]?\\d{4}[-\\s]?\\d{4}[-\\s]?\\d{4}\\b", "****-****-****-****"); + // 전화번호 + out = out.replaceAll("\\b01[016789][-\\s]?\\d{3,4}[-\\s]?\\d{4}\\b", "***-****-****"); + // 이메일 + out = out.replaceAll("\\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,}\\b", "***@***"); + // IPv4 + out = out.replaceAll("\\b(?:\\d{1,3}\\.){3}\\d{1,3}\\b", "***.***.***.***"); + // 비밀번호/시크릿 키=값 + out = out.replaceAll("(?i)(password|passwd|pw|secret|token|api[_-]?key)\\s*[:=]\\s*\\S+", "$1=***"); + return out; + } + + /** 저장 컬럼 길이 상한 적용(과대 입력 방지). */ + public static String maskAndClip(String s, int max) { + String m = mask(s); + if (m == null) { + return null; + } + return m.length() > max ? m.substring(0, max) : m; + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/common/ai/TextAiClient.java b/backend/src/main/java/com/zioinfo/fa/common/ai/TextAiClient.java new file mode 100644 index 0000000..1abe41b --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/ai/TextAiClient.java @@ -0,0 +1,27 @@ +package com.zioinfo.fa.common.ai; + +/** + * 텍스트 생성 공용 인터페이스 (AI provider 추상화). [GUARDiA-FA] + * + *

온프레미스 Ollama({@link OllamaTextClient})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 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 한국어 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/fa/common/audit/AuditService.java b/backend/src/main/java/com/zioinfo/fa/common/audit/AuditService.java new file mode 100644 index 0000000..3a9112f --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/common/audit/AuditService.java @@ -0,0 +1,40 @@ +package com.zioinfo.fa.common.audit; + +import lombok.extern.slf4j.Slf4j; +import org.springframework.security.core.Authentication; +import org.springframework.security.core.context.SecurityContextHolder; +import org.springframework.stereotype.Service; + +/** + * 경량 감사 로그 서비스. [GUARDiA-FA] + * + *

FA 는 별도 감사 테이블을 두지 않으므로, 관리자 설정 변경 등의 감사는 slf4j 로만 남긴다 + * (키·비밀번호·PII·스택트레이스 미기록 — actor/action/target/요약 델타만). 향후 DB 감사 도입 시 + * 이 계약을 유지한 채 저장소만 교체하면 된다. + * + *

레퍼런스: guardia-ocr {@code admin.AuditService}(DB 저장 → FA 는 slf4j 경량화). + */ +@Slf4j +@Service +public class AuditService { + + /** 현재 인증 주체(username)로 감사 로그를 기록한다. */ + public void log(String action, String target, String detail) { + log(currentActor(), action, target, detail); + } + + public void log(String actor, String action, String target, String detail) { + // 키/비밀번호/PII 는 호출자가 전달하지 않는다(설정 델타 요약만). + log.info("[AUDIT] actor={} action={} target={} detail={}", + actor == null ? "system" : actor, action, target, detail); + } + + /** SecurityContext 의 JWT subject(username)를 추출. 없으면 system. */ + public static String currentActor() { + Authentication auth = SecurityContextHolder.getContext().getAuthentication(); + if (auth != null && auth.getName() != null && !auth.getName().isBlank()) { + return auth.getName(); + } + return "system"; + } +} diff --git a/backend/src/main/java/com/zioinfo/fa/config/SecurityConfig.java b/backend/src/main/java/com/zioinfo/fa/config/SecurityConfig.java index 3f93393..0bd7a6d 100644 --- a/backend/src/main/java/com/zioinfo/fa/config/SecurityConfig.java +++ b/backend/src/main/java/com/zioinfo/fa/config/SecurityConfig.java @@ -44,6 +44,12 @@ public class SecurityConfig { "/index.html", "/favicon.ico" ).permitAll() + // AI 플랫폼(LLM provider) 설정은 ADMIN 전용(조회/갱신/연결테스트) + .requestMatchers("/api/admin/ai-config", "/api/admin/ai-config/**").hasRole("ADMIN") + // 기타 관리자 API 는 ADMIN 전용(향후 확장 방어) + .requestMatchers("/api/admin/**").hasRole("ADMIN") + // AI 피드백 수집은 인증 사용자 + .requestMatchers("/api/ai/**").authenticated() .requestMatchers("/api/fa/**").authenticated() .anyRequest().permitAll() ) diff --git a/backend/src/main/java/com/zioinfo/fa/domain/FaSetting.java b/backend/src/main/java/com/zioinfo/fa/domain/FaSetting.java new file mode 100644 index 0000000..ca505e2 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/domain/FaSetting.java @@ -0,0 +1,16 @@ +package com.zioinfo.fa.domain; + +import lombok.Data; + +import java.time.LocalDateTime; + +/** + * 시스템 설정 (fa_setting 테이블 매핑). [GUARDiA-FA] + * AI 플랫폼 런타임 설정(key='ai.*')의 단일 저장소. FA 에는 기존 설정 테이블이 없어 신규 도입(멱등). + */ +@Data +public class FaSetting { + private String settingKey; + private String settingValue; + private LocalDateTime updatedAt; +} diff --git a/backend/src/main/java/com/zioinfo/fa/mapper/SettingMapper.java b/backend/src/main/java/com/zioinfo/fa/mapper/SettingMapper.java new file mode 100644 index 0000000..854dae3 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/fa/mapper/SettingMapper.java @@ -0,0 +1,22 @@ +package com.zioinfo.fa.mapper; + +import com.zioinfo.fa.domain.FaSetting; +import org.apache.ibatis.annotations.Mapper; +import org.apache.ibatis.annotations.Param; + +import java.util.List; + +/** + * fa_setting 설정 저장소 매퍼. [GUARDiA-FA] + * {@code @Mapper} 필수 — FaApplication 은 {@code @MapperScan(annotationClass = Mapper.class)}. + */ +@Mapper +public interface SettingMapper { + + List findAll(); + + FaSetting findByKey(@Param("key") String key); + + /** upsert (ON CONFLICT). */ + int upsert(@Param("key") String key, @Param("value") String value); +} diff --git a/backend/src/main/java/com/zioinfo/fa/service/EquipmentService.java b/backend/src/main/java/com/zioinfo/fa/service/EquipmentService.java index 5cdcbde..f8f3cae 100644 --- a/backend/src/main/java/com/zioinfo/fa/service/EquipmentService.java +++ b/backend/src/main/java/com/zioinfo/fa/service/EquipmentService.java @@ -1,11 +1,10 @@ package com.zioinfo.fa.service; +import com.zioinfo.fa.ai.service.AiTextRouter; +import com.zioinfo.fa.common.ai.TextAiClient.GenResult; import com.zioinfo.fa.domain.Equipment; import com.zioinfo.fa.mapper.EquipmentMapper; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.http.ResponseEntity; import org.springframework.stereotype.Service; -import org.springframework.web.client.RestTemplate; import java.util.HashMap; import java.util.List; @@ -14,12 +13,11 @@ import java.util.Map; @Service public class EquipmentService { private final EquipmentMapper mapper; + private final AiTextRouter aiTextRouter; - @Value("${ollama.base-url:http://localhost:11434}") - private String ollamaUrl; - - public EquipmentService(EquipmentMapper mapper) { + public EquipmentService(EquipmentMapper mapper, AiTextRouter aiTextRouter) { this.mapper = mapper; + this.aiTextRouter = aiTextRouter; } public List findAll(String status, String workstationCode) { @@ -66,19 +64,14 @@ public class EquipmentService { return mapper.findById(id); } + /** 설비 예지보전·고장위험 AI 예측. provider 선택은 AiTextRouter(Claude→Ollama 폴백)가 담당. */ public Map aiPredict(Map req) { Map result = new HashMap<>(); - try { - RestTemplate rt = new RestTemplate(); - String prompt = "Equipment: " + req.get("equipmentCode") + - ". OEE trend: " + req.get("oeeTrend") + - ". Predict maintenance need and breakdown risk in Korean."; - Map body = Map.of("model", "llama3", "prompt", prompt, "stream", false); - ResponseEntity resp = rt.postForEntity(ollamaUrl + "/api/generate", body, Map.class); - result.put("prediction", resp.getBody() != null ? resp.getBody().get("response") : "예측 불가"); - } catch (Exception e) { - result.put("prediction", "AI 예측 일시 중단. 설비 이력을 수동 확인하세요."); - } + String prompt = "Equipment: " + req.get("equipmentCode") + + ". OEE trend: " + req.get("oeeTrend") + + ". Predict maintenance need and breakdown risk in Korean."; + GenResult r = aiTextRouter.generate(prompt); + result.put("prediction", (!r.degraded() && r.text() != null) ? r.text() : "AI 예측 일시 중단. 설비 이력을 수동 확인하세요."); result.put("success", true); return result; } diff --git a/backend/src/main/java/com/zioinfo/fa/service/InventoryService.java b/backend/src/main/java/com/zioinfo/fa/service/InventoryService.java index fd3b7fc..ae1c0e1 100644 --- a/backend/src/main/java/com/zioinfo/fa/service/InventoryService.java +++ b/backend/src/main/java/com/zioinfo/fa/service/InventoryService.java @@ -1,11 +1,10 @@ package com.zioinfo.fa.service; +import com.zioinfo.fa.ai.service.AiTextRouter; +import com.zioinfo.fa.common.ai.TextAiClient.GenResult; import com.zioinfo.fa.domain.FactoryInventory; import com.zioinfo.fa.mapper.FactoryInventoryMapper; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.http.ResponseEntity; import org.springframework.stereotype.Service; -import org.springframework.web.client.RestTemplate; import java.util.HashMap; import java.util.List; @@ -14,12 +13,11 @@ import java.util.Map; @Service public class InventoryService { private final FactoryInventoryMapper mapper; + private final AiTextRouter aiTextRouter; - @Value("${ollama.base-url:http://localhost:11434}") - private String ollamaUrl; - - public InventoryService(FactoryInventoryMapper mapper) { + public InventoryService(FactoryInventoryMapper mapper, AiTextRouter aiTextRouter) { this.mapper = mapper; + this.aiTextRouter = aiTextRouter; } public List findAll(String locationCode) { @@ -41,18 +39,13 @@ public class InventoryService { return mapper.findLowStock(); } + /** 안전재고·발주 최적화 AI 권고. provider 선택은 AiTextRouter(Claude→Ollama 폴백)가 담당. */ public Map aiOptimize(Map req) { Map result = new HashMap<>(); - try { - RestTemplate rt = new RestTemplate(); - String prompt = "Optimize inventory for factory. Current low stock items: " + - req.get("lowStockItems") + ". Suggest reorder quantities in Korean."; - Map body = Map.of("model", "llama3", "prompt", prompt, "stream", false); - ResponseEntity resp = rt.postForEntity(ollamaUrl + "/api/generate", body, Map.class); - result.put("optimization", resp.getBody() != null ? resp.getBody().get("response") : "최적화 불가"); - } catch (Exception e) { - result.put("optimization", "AI 최적화 일시 중단. 안전재고 기준으로 발주하세요."); - } + String prompt = "Optimize inventory for factory. Current low stock items: " + + req.get("lowStockItems") + ". Suggest reorder quantities in Korean."; + GenResult r = aiTextRouter.generate(prompt); + result.put("optimization", (!r.degraded() && r.text() != null) ? r.text() : "AI 최적화 일시 중단. 안전재고 기준으로 발주하세요."); result.put("success", true); return result; } diff --git a/backend/src/main/java/com/zioinfo/fa/service/QualityService.java b/backend/src/main/java/com/zioinfo/fa/service/QualityService.java index 28cb69b..90ae99e 100644 --- a/backend/src/main/java/com/zioinfo/fa/service/QualityService.java +++ b/backend/src/main/java/com/zioinfo/fa/service/QualityService.java @@ -1,23 +1,21 @@ package com.zioinfo.fa.service; +import com.zioinfo.fa.ai.service.AiTextRouter; +import com.zioinfo.fa.common.ai.TextAiClient.GenResult; import com.zioinfo.fa.domain.QualityInspection; import com.zioinfo.fa.mapper.QualityInspectionMapper; -import org.springframework.beans.factory.annotation.Value; -import org.springframework.http.*; import org.springframework.stereotype.Service; -import org.springframework.web.client.RestTemplate; import java.util.*; @Service public class QualityService { private final QualityInspectionMapper mapper; + private final AiTextRouter aiTextRouter; - @Value("${ollama.base-url:http://localhost:11434}") - private String ollamaUrl; - - public QualityService(QualityInspectionMapper mapper) { + public QualityService(QualityInspectionMapper mapper, AiTextRouter aiTextRouter) { this.mapper = mapper; + this.aiTextRouter = aiTextRouter; } public List findAll(String type, String result) { @@ -50,19 +48,15 @@ public class QualityService { return mapper.getDashboardSummary(); } + /** 품질 불량 원인·개선안 AI 분석. provider 선택은 AiTextRouter(Claude→Ollama 폴백)가 담당. */ public Map aiAnalyze(Map req) { Map result = new HashMap<>(); - try { - RestTemplate rt = new RestTemplate(); - String prompt = "Analyze quality defect: " + req.get("defectDescription") + - ". Product: " + req.get("productCode") + - ". Suggest root cause and corrective action in Korean."; - Map body = Map.of("model", "llama3", "prompt", prompt, "stream", false); - ResponseEntity resp = rt.postForEntity(ollamaUrl + "/api/generate", body, Map.class); - result.put("analysis", resp.getBody() != null ? resp.getBody().get("response") : "분석 불가"); - } catch (Exception e) { - result.put("analysis", "AI 분석 일시 중단. 수동 검토가 필요합니다."); - } + String prompt = "Analyze quality defect: " + req.get("defectDescription") + + ". Product: " + req.get("productCode") + + ". Suggest root cause and corrective action in Korean."; + GenResult r = aiTextRouter.generate(prompt); + // 실패(degraded) 시 기존 규칙기반 폴백 메시지 유지(무회귀). + result.put("analysis", (!r.degraded() && r.text() != null) ? r.text() : "AI 분석 일시 중단. 수동 검토가 필요합니다."); result.put("success", true); return result; } diff --git a/backend/src/main/resources/application.yml b/backend/src/main/resources/application.yml index 56f5790..bc4c52f 100644 --- a/backend/src/main/resources/application.yml +++ b/backend/src/main/resources/application.yml @@ -21,6 +21,17 @@ jwt: expiration: 86400000 ollama: base-url: http://localhost:11434 +# AI 플랫폼 — Claude 전환 + 온프레미스 Ollama 폴백 + 로컬 학습 저장소(DuckDB) + 중앙 rag 연계 +guardia: + ollama-text-model: llama3.2:1b # Ollama 계열/Claude 폴백 기본 소형 모델(RAM 안전) + rag: + base-url: http://localhost:8020 + enabled: true + timeout-ms: 2500 +fa: + learning: + duckdb-path: /opt/guardia-fa/data/fa_learning.duckdb # 로컬 AI 학습·추론 저장소(솔루션 격리) +# ANTHROPIC_API_KEY 는 서버 환경변수(systemd EnvironmentFile)로만 주입 — 여기에 절대 기재 금지. logging: level: com.zioinfo.fa: DEBUG 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..736457d --- /dev/null +++ b/backend/src/main/resources/db/104_seed_ai_config.sql @@ -0,0 +1,27 @@ +-- ===================================================================== +-- GUARDiA FA — 104. AI 플랫폼(LLM provider) 설정 시드 (멱등) +-- 대상 DB : fa_db (테이블 fa_setting — schema.sql 에서 생성) +-- 적용 : 운영 psql 로 schema.sql 적용 후 본 파일 실행(또는 setup 스크립트에 등재). +-- ON CONFLICT DO NOTHING 으로 재실행 안전. +-- 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 (setting_key) DO NOTHING. +-- ===================================================================== + +SET client_encoding = 'UTF8'; + +INSERT INTO fa_setting (setting_key, setting_value) VALUES + ('ai.provider', 'ollama'), + ('ai.claude.model', 'claude-sonnet-4-6'), + ('ai.ollama.textModel', ''), + ('ai.enabled', 'true') +ON CONFLICT (setting_key) DO NOTHING; + +-- end 104_seed_ai_config.sql diff --git a/backend/src/main/resources/db/schema.sql b/backend/src/main/resources/db/schema.sql index 99671ee..e944695 100644 --- a/backend/src/main/resources/db/schema.sql +++ b/backend/src/main/resources/db/schema.sql @@ -1,6 +1,14 @@ -- GUARDiA FA Database Schema -- DB: fa_db / User: fa_user / Password: fa_pass2026 +-- AI 플랫폼(LLM provider) 런타임 설정 저장소 (key='ai.*'). 멱등. [GUARDiA-FA] +-- 시드는 db/104_seed_ai_config.sql. 미적용/키 비움 시에도 provider 기본 ollama → 무회귀. +CREATE TABLE IF NOT EXISTS fa_setting ( + setting_key VARCHAR(100) PRIMARY KEY, + setting_value TEXT, + updated_at TIMESTAMP DEFAULT NOW() +); + CREATE TABLE IF NOT EXISTS fa_epaper_displays ( id BIGSERIAL PRIMARY KEY, display_id VARCHAR(50) UNIQUE NOT NULL, diff --git a/backend/src/main/resources/mapper/SettingMapper.xml b/backend/src/main/resources/mapper/SettingMapper.xml new file mode 100644 index 0000000..7673feb --- /dev/null +++ b/backend/src/main/resources/mapper/SettingMapper.xml @@ -0,0 +1,32 @@ + + + + + + + + + + + + + + + + + INSERT INTO fa_setting (setting_key, setting_value, updated_at) + VALUES (#{key}, #{value}, NOW()) + ON CONFLICT (setting_key) + DO UPDATE SET setting_value = EXCLUDED.setting_value, updated_at = NOW() + + + diff --git a/backend/src/main/resources/static/assets/index-DqQ9Pbce.css b/backend/src/main/resources/static/assets/index-DqQ9Pbce.css new file mode 100644 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필요"}),v.jsx(s,{title:"e-Paper 온라인",value:l.online,color:"text-emerald-400",sub:`전체 ${l.total}대`})]}),v.jsxs("div",{className:"grid grid-cols-2 gap-6",children:[v.jsxs("div",{className:"bg-slate-800 rounded-xl p-5 border border-slate-700",children:[v.jsx("h2",{className:"text-sm font-medium text-slate-300 mb-4",children:"OEE 지표 (종합 설비 효율)"}),v.jsxs("div",{className:"flex items-center gap-4",children:[v.jsxs("div",{className:"text-center",children:[v.jsxs("div",{className:"text-4xl font-bold text-blue-400",children:[Math.round((n.availability||.92)*(n.performance||.88)*(n.quality||.97)*100),"%"]}),v.jsx("div",{className:"text-slate-500 text-xs mt-1",children:"종합 OEE"})]}),v.jsx("div",{className:"flex-1",children:u.map(f=>v.jsxs("div",{className:"flex items-center gap-2 mb-2",children:[v.jsx("div",{className:"text-xs text-slate-400 w-16",children:f.name}),v.jsx("div",{className:"flex-1 bg-slate-700 rounded-full h-2",children:v.jsx("div",{className:"h-2 rounded-full",style:{width:`${f.value}%`,backgroundColor:f.fill}})}),v.jsxs("div",{className:"text-xs text-slate-300 w-8 text-right",children:[f.value,"%"]})]},f.name))})]})]}),v.jsxs("div",{className:"bg-slate-800 rounded-xl p-5 border border-slate-700",children:[v.jsx("h2",{className:"text-sm font-medium text-slate-300 mb-4",children:"e-Paper 디스플레이 현황"}),v.jsxs("div",{className:"grid grid-cols-2 gap-3",children:[v.jsxs("div",{className:"bg-slate-700 rounded-lg p-3 text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-emerald-400",children:l.online||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"온라인"})]}),v.jsxs("div",{className:"bg-slate-700 rounded-lg p-3 text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-slate-400",children:l.offline||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"오프라인"})]}),v.jsxs("div",{className:"bg-slate-700 rounded-lg p-3 text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-yellow-400",children:l.batteryLow||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"배터리 부족"})]}),v.jsxs("div",{className:"bg-slate-700 rounded-lg p-3 text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-blue-400",children:l.total||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"전체"})]})]})]})]}),v.jsxs("div",{className:"bg-slate-800 rounded-xl p-5 border border-slate-700",children:[v.jsx("h2",{className:"text-sm font-medium text-slate-300 mb-4",children:"안돈 통계 (오늘)"}),v.jsxs("div",{className:"grid grid-cols-4 gap-4",children:[v.jsxs("div",{className:"text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-white",children:(a==null?void 0:a.total_today)||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"총 발생"})]}),v.jsxs("div",{className:"text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-green-400",children:(a==null?void 0:a.resolved)||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"해결"})]}),v.jsxs("div",{className:"text-center",children:[v.jsx("div",{className:"text-2xl font-bold text-red-400",children:(a==null?void 0:a.active)||0}),v.jsx("div",{className:"text-xs text-slate-400",children:"활성"})]}),v.jsxs("div",{className:"text-center",children:[v.jsxs("div",{className:"text-2xl font-bold text-yellow-400",children:[Math.round((a==null?void 0:a.avg_response_time)||0),"초"]}),v.jsx("div",{className:"text-xs text-slate-400",children:"평균 응답시간"})]})]})]})]})}const VP={GREEN:"bg-green-600 border-green-500",YELLOW:"bg-yellow-600 border-yellow-500",RED:"bg-red-600 border-red-500",BLUE:"bg-blue-600 border-blue-500"};function KP(){const[e,t]=E.useState([]);E.useEffect(()=>{fe.get("/workstations/floor-map").then(r=>t(r.data)).catch(console.error)},[]);const n=Array.from(new Set(e.map(r=>r.lineCode||"DEFAULT")));return v.jsxs("div",{className:"space-y-6",children:[v.jsx("h1",{className:"text-xl font-bold text-white",children:"공장 배치도 (Floor Map)"}),v.jsxs("div",{className:"bg-slate-800 rounded-xl p-6 border border-slate-700",children:[v.jsxs("div",{className:"text-sm text-slate-400 mb-4",children:["안돈 상태:",v.jsx("span",{className:"ml-2 px-2 py-0.5 bg-green-600 rounded text-xs",children:"GREEN 정상"}),v.jsx("span",{className:"ml-2 px-2 py-0.5 bg-yellow-600 rounded text-xs",children:"YELLOW 주의"}),v.jsx("span",{className:"ml-2 px-2 py-0.5 bg-red-600 rounded text-xs",children:"RED 긴급"}),v.jsx("span",{className:"ml-2 px-2 py-0.5 bg-blue-600 rounded text-xs",children:"BLUE 도움요청"})]}),n.map(r=>v.jsxs("div",{className:"mb-6",children:[v.jsx("h3",{className:"text-slate-300 text-sm font-medium mb-3 border-b border-slate-700 pb-2",children:r}),v.jsx("div",{className:"flex flex-wrap gap-4",children:e.filter(a=>(a.lineCode||"DEFAULT")===r).map(a=>v.jsxs("div",{className:`border-2 rounded-xl p-4 w-48 ${VP[a.andonStatus]||"bg-slate-700 border-slate-600"}`,children:[v.jsx("div",{className:"font-bold text-white text-sm",children:a.workstationCode}),v.jsx("div",{className:"text-xs text-white/80 mt-1",children:a.workstationName}),v.jsxs("div",{className:"mt-3 space-y-1",children:[v.jsxs("div",{className:"text-xs text-white/70",children:["공정: ",a.processCode]}),v.jsxs("div",{className:"text-xs text-white/70",children:["상태: ",a.status]}),v.jsxs("div",{className:"flex justify-between mt-2",children:[v.jsx("span",{className:"text-xs text-white/70",children:"목표"}),v.jsx("span",{className:"text-xs font-bold text-white",children:a.targetCount||0})]}),v.jsxs("div",{className:"flex justify-between",children:[v.jsx("span",{className:"text-xs text-white/70",children:"실적"}),v.jsx("span",{className:"text-xs font-bold text-white",children:a.actualCount||0})]}),a.oee&&v.jsxs("div",{className:"mt-2",children:[v.jsxs("div",{className:"flex justify-between text-xs text-white/70 mb-1",children:[v.jsx("span",{children:"OEE"}),v.jsxs("span",{children:[Math.round(a.oee*100),"%"]})]}),v.jsx("div",{className:"bg-white/20 rounded-full h-1.5",children:v.jsx("div",{className:"bg-white h-1.5 rounded-full",style:{width:`${a.oee*100}%`}})})]})]})]},a.id))})]},r)),e.length===0&&v.jsx("div",{className:"text-center text-slate-500 py-8",children:"작업장 데이터가 없습니다."})]})]})}const FP={ONLINE:"text-green-400",OFFLINE:"text-slate-500",UPDATING:"text-yellow-400",ERROR:"text-red-400"};function WP(){const[e,t]=E.useState([]),[n,r]=E.useState({}),[a,i]=E.useState(""),l=()=>{fe.get("/epaper",{params:a?{status:a}:{}}).then(s=>t(s.data)),fe.get("/epaper/dashboard").then(s=>r(s.data))};E.useEffect(()=>{l()},[a]);const o=async s=>{const f=prompt("푸시할 내용 (JSON 형식):");f&&(await fe.post(`/epaper/${s}/push`,{content:f,templateId:"default"}),l())},u=async s=>{await fe.post(`/epaper/${s}/refresh`),alert("갱신 요청 완료")};return v.jsxs("div",{className:"space-y-6",children:[v.jsxs("div",{className:"flex items-center justify-between",children:[v.jsx("h1",{className:"text-xl font-bold text-white",children:"e-Paper 표시기 관리"}),v.jsx("div",{className:"flex gap-2",children:["","ONLINE","OFFLINE","ERROR"].map(s=>v.jsx("button",{onClick:()=>i(s),className:`px-3 py-1.5 rounded text-xs transition-colors ${a===s?"bg-blue-600 text-white":"bg-slate-700 text-slate-300 hover:bg-slate-600"}`,children:s||"전체"},s))})]}),v.jsx("div",{className:"grid grid-cols-4 gap-4",children:[{label:"전체",value:n.total,color:"text-white"},{label:"온라인",value:n.online,color:"text-green-400"},{label:"오프라인",value:n.offline,color:"text-slate-400"},{label:"배터리 부족",value:n.batteryLow,color:"text-yellow-400"}].map(({label:s,value:f,color:c})=>v.jsxs("div",{className:"bg-slate-800 rounded-xl p-4 border border-slate-700 text-center",children:[v.jsx("div",{className:`text-2xl font-bold ${c}`,children:f??"-"}),v.jsx("div",{className:"text-xs text-slate-400 mt-1",children:s})]},s))}),v.jsxs("div",{className:"bg-slate-800 rounded-xl border border-slate-700 overflow-hidden",children:[v.jsxs("table",{className:"w-full text-sm",children:[v.jsx("thead",{children:v.jsxs("tr",{className:"border-b border-slate-700",children:[v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"디스플레이 ID"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"작업장"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"크기/타입"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"배터리"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"신호"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"상태"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"프로토콜"}),v.jsx("th",{className:"px-4 py-3 text-left text-slate-400",children:"작업"})]})}),v.jsx("tbody",{children:e.map(s=>{var f;return v.jsxs("tr",{className:"border-b border-slate-700/50 hover:bg-slate-700/30",children:[v.jsx("td",{className:"px-4 py-3 font-mono text-blue-400",children:s.displayId}),v.jsx("td",{className:"px-4 py-3 text-slate-300",children:s.workstationId||"-"}),v.jsxs("td",{className:"px-4 py-3 text-slate-300",children:[s.displaySize," / ",s.displayType]}),v.jsx("td",{className:"px-4 py-3",children:v.jsxs("span",{className:`flex items-center gap-1 ${(s.batteryLevel||0)<20?"text-red-400":"text-green-400"}`,children:[v.jsx(E3,{size:12}),((f=s.batteryLevel)==null?void 0:f.toFixed(0))||0,"%"]})}),v.jsx("td",{className:"px-4 py-3",children:v.jsxs("span",{className:"flex items-center gap-1 text-slate-300",children:[v.jsx(X3,{size:12}),s.signalStrength||"-"," dBm"]})}),v.jsx("td",{className:"px-4 py-3",children:v.jsx("span",{className:`font-medium ${FP[s.status]||"text-slate-400"}`,children:s.status})}),v.jsx("td",{className:"px-4 py-3 text-slate-400 text-xs",children:s.protocol}),v.jsx("td",{className:"px-4 py-3",children:v.jsxs("div",{className:"flex gap-2",children:[v.jsxs("button",{onClick:()=>o(s.id),className:"flex items-center gap-1 px-2 py-1 bg-blue-700 hover:bg-blue-600 rounded text-xs text-white transition-colors",children:[v.jsx(k3,{size:10})," 푸시"]}),v.jsxs("button",{onClick:()=>u(s.id),className:"flex items-center gap-1 px-2 py-1 bg-slate-600 hover:bg-slate-500 rounded text-xs text-white transition-colors",children:[v.jsx(B3,{size:10})," 갱신"]})]})})]},s.id)})})]}),e.length===0&&v.jsx("div",{className:"text-center text-slate-500 py-8",children:"등록된 e-Paper 표시기가 없습니다."})]})]})}function QP(){const[e,t]=E.useState(""),[n,r]=E.useState(null),[a,i]=E.useState([]),[l,o]=E.useState([]),[u,s]=E.useState(""),[f,c]=E.useState([]),d=async()=>{if(e.trim())try{const[b,m,p]=await Promise.all([fe.get(`/qr/${e}`),fe.get(`/qr/${e}/history`),fe.get(`/qr/${e}/route`)]);r(b.data),i(m.data),o(p.data)}catch{r(null)}},h=async()=>{const b=prompt("제품 코드:");if(!b)return;const m=prompt("LOT 번호:"),p=prompt("수량:"),y=await fe.post("/qr/generate",{codeType:"WIP",productCode:b,lotNumber:m,quantity:parseInt(p||"1"),currentProcess:"START"});alert(`QR 코드 생성: ${y.data.qrCode}`)},x={IN_PROCESS:"bg-blue-700 text-blue-200",WAITING:"bg-yellow-700 text-yellow-200",COMPLETED:"bg-green-700 text-green-200",HOLD:"bg-orange-700 text-orange-200",REJECTED:"bg-red-700 text-red-200"};return v.jsxs("div",{className:"space-y-6",children:[v.jsxs("div",{className:"flex items-center justify-between",children:[v.jsx("h1",{className:"text-xl font-bold text-white",children:"QR WIP 추적"}),v.jsxs("button",{onClick:h,className:"flex items-center gap-2 px-4 py-2 bg-blue-600 hover:bg-blue-700 text-white rounded-lg text-sm transition-colors",children:[v.jsx(R3,{size:14})," QR 생성"]})]}),v.jsxs("div",{className:"grid grid-cols-2 gap-6",children:[v.jsxs("div",{className:"bg-slate-800 rounded-xl p-5 border border-slate-700",children:[v.jsx("h2",{className:"text-sm font-medium text-slate-300 mb-3",children:"QR 코드 조회"}),v.jsxs("div",{className:"flex gap-2 mb-4",children:[v.jsx("input",{value:e,onChange:b=>t(b.target.value),placeholder:"QR 코드 입력...",className:"flex-1 bg-slate-700 border border-slate-600 rounded-lg px-3 py-2 text-sm text-white focus:outline-none focus:border-blue-500"}),v.jsx("button",{onClick:d,className:"px-3 py-2 bg-blue-600 hover:bg-blue-700 text-white rounded-lg transition-colors",children:v.jsx(U3,{size:16})})]}),n&&v.jsxs("div",{className:"space-y-2 text-sm",children:[v.jsxs("div",{className:"flex justify-between",children:[v.jsx("span",{className:"text-slate-400",children:"제품코드"}),v.jsx("span",{className:"text-white font-mono",children:n.productCode})]}),v.jsxs("div",{className:"flex justify-between",children:[v.jsx("span",{className:"text-slate-400",children:"LOT 번호"}),v.jsx("span",{className:"text-white font-mono",children:n.lotNumber})]}),v.jsxs("div",{className:"flex justify-between",children:[v.jsx("span",{className:"text-slate-400",children:"현재 공정"}),v.jsx("span",{className:"text-white",children:n.currentProcess})]}),v.jsxs("div",{className:"flex justify-between",children:[v.jsx("span",{className:"text-slate-400",children:"현재 작업장"}),v.jsx("span",{className:"text-white",children:n.currentWorkstation})]}),v.jsxs("div",{className:"flex justify-between",children:[v.jsx("span",{className:"text-slate-400",children:"상태"}),v.jsx("span",{className:`px-2 py-0.5 rounded text-xs ${x[n.status]||"bg-slate-600 text-slate-200"}`,children:n.status})]})]})]}),v.jsxs("div",{className:"bg-slate-800 rounded-xl p-5 border border-slate-700",children:[v.jsx("h2",{className:"text-sm font-medium text-slate-300 mb-3",children:"공정 경로"}),l.length>0?v.jsx("div",{className:"space-y-2",children:l.map((b,m)=>v.jsxs("div",{className:"flex items-center gap-3",children:[v.jsx("div",{className:"w-6 h-6 rounded-full bg-blue-600 text-white text-xs flex items-center justify-center font-bold",children:b.sequence||m+1}),v.jsxs("div",{children:[v.jsx("div",{className:"text-sm text-white",children:b.processName}),v.jsxs("div",{className:"text-xs text-slate-400",children:[b.workstationCode," · ",b.standardTime,"분"]})]})]},b.id))}):v.jsx("div",{className:"text-slate-500 text-sm",children:"QR 코드를 조회하면 공정 경로가 표시됩니다."})]})]}),v.jsxs("div",{className:"bg-slate-800 rounded-xl p-5 border border-slate-700",children:[v.jsx("h2",{className:"text-sm font-medium text-slate-300 mb-3",children:"스캔 이력"}),v.jsxs("div",{className:"overflow-x-auto",children:[v.jsxs("table",{className:"w-full text-sm",children:[v.jsx("thead",{children:v.jsxs("tr",{className:"border-b border-slate-700",children:[v.jsx("th",{className:"px-3 py-2 text-left text-slate-400",children:"시간"}),v.jsx("th",{className:"px-3 py-2 text-left text-slate-400",children:"작업장"}),v.jsx("th",{className:"px-3 py-2 text-left text-slate-400",children:"스캔 타입"}),v.jsx("th",{className:"px-3 py-2 text-left text-slate-400",children:"결과"}),v.jsx("th",{className:"px-3 py-2 text-left text-slate-400",children:"작업자"})]})}),v.jsx("tbody",{children:a.map(b=>{var m;return v.jsxs("tr",{className:"border-b border-slate-700/50",children:[v.jsx("td",{className:"px-3 py-2 text-slate-300 text-xs",children:(m=b.scannedAt)==null?void 0:m.replace("T"," ").slice(0,16)}),v.jsx("td",{className:"px-3 py-2 text-slate-300",children:b.workstationId}),v.jsx("td",{className:"px-3 py-2 text-slate-300",children:b.scanType}),v.jsx("td",{className:"px-3 py-2",children:v.jsx("span",{className:b.result==="OK"?"text-green-400":"text-red-400",children:b.result})}),v.jsx("td",{className:"px-3 py-2 text-slate-400",children:b.operatorId})]},b.id)})})]}),a.length===0&&v.jsx("div",{className:"text-center text-slate-500 py-4",children:"스캔 이력이 없습니다."})]})]})]})}const ZP={PLANNED:"bg-slate-600 text-slate-200",RELEASED:"bg-blue-700 text-blue-200",IN_PROGRESS:"bg-yellow-700 text-yellow-200",COMPLETED:"bg-green-700 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서버 RAM 여유가 필요합니다. 콜드로드 실패 시 소형 모델(llama3.2:1b)로 자동 폴백합니다."})]}),v.jsxs("div",{className:"grid gap-5 md:grid-cols-2",children:[v.jsxs("section",{className:"bg-slate-800 border border-slate-700 rounded-xl p-5",children:[v.jsxs("h2",{className:"text-sm font-semibold mb-4 flex items-center gap-2 text-slate-200",children:[v.jsx(gy,{size:16,className:"text-blue-400"})," 제공자 & 모델"]}),v.jsx("div",{className:"grid grid-cols-2 gap-2 mb-4",children:Ine.map(D=>v.jsxs("button",{onClick:()=>{t(D.id),$()},className:`text-left px-3 py-2.5 rounded-lg border text-sm transition-colors ${e===D.id?"bg-blue-600/15 border-blue-500 text-blue-300":"bg-slate-900 border-slate-700 text-slate-300 hover:border-blue-500/50"}`,children:[v.jsxs("div",{className:"font-semibold flex items-center gap-1",children:[D.label,D.ram&&v.jsx("span",{className:"text-[9px] px-1 py-0.5 rounded bg-amber-500/20 text-amber-300 border border-amber-500/40",children:"RAM"})]}),v.jsx("div",{className:"text-[11px] text-slate-500 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"sugarss": "*", + "terser": "^5.4.0" + }, + "peerDependenciesMeta": { + "@types/node": { + "optional": true + }, + "less": { + "optional": true + }, + "lightningcss": { + "optional": true + }, + "sass": { + "optional": true + }, + "sass-embedded": { + "optional": true + }, + "stylus": { + "optional": true + }, + "sugarss": { + "optional": true + }, + "terser": { + "optional": true + } + } + }, + "node_modules/yallist": { + "version": "3.1.1", + "dev": true, + "license": "ISC" + } + } +} diff --git a/frontend/src/App.tsx b/frontend/src/App.tsx index f7d338a..f37571d 100644 --- a/frontend/src/App.tsx +++ b/frontend/src/App.tsx @@ -2,7 +2,7 @@ import React, { useState } from 'react' import { BrowserRouter, Routes, Route, Navigate, NavLink } from 'react-router-dom' import { LayoutDashboard, Map, Monitor, QrCode, Package, - AlertTriangle, ShieldCheck, Wrench, Boxes, Brain, LogOut + AlertTriangle, ShieldCheck, Wrench, Boxes, Brain, LogOut, Cpu } from 'lucide-react' import Login from './pages/Login' import Dashboard from './pages/Dashboard' @@ -14,6 +14,7 @@ import AndonBoard from './pages/AndonBoard' import QualityControl from './pages/QualityControl' import EquipmentStatus from './pages/EquipmentStatus' import AiFactory from './pages/AiFactory' +import AiPlatformSettings from './pages/AiPlatformSettings' const NAV_ITEMS = [ { to: '/dashboard', icon: LayoutDashboard, label: '대시보드' }, @@ -26,6 +27,7 @@ const NAV_ITEMS = [ { to: '/equipment', icon: Wrench, label: '설비 현황' }, { to: '/inventory', icon: Boxes, label: '재고 관리' }, { to: '/ai', icon: Brain, label: 'AI 공장 분석' }, + { to: '/ai-settings', icon: Cpu, label: 'AI 플랫폼 설정' }, ] function Sidebar() { @@ -101,6 +103,7 @@ export default function App() { } /> } /> } /> + } /> diff --git a/frontend/src/api/adminAiConfig.ts b/frontend/src/api/adminAiConfig.ts new file mode 100644 index 0000000..44c31f2 --- /dev/null +++ b/frontend/src/api/adminAiConfig.ts @@ -0,0 +1,61 @@ +// AI 플랫폼(LLM Provider) 설정(ADMIN) API — /api/admin/ai-config (ADMIN 전용). [GUARDiA-FA] +// 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 (FA 는 루트 경로 + fa_token 헤더). +import axios from 'axios' + +// FA 공용 client(baseURL '/api/fa')와 달리 admin 은 루트 경로 → 전용 인스턴스. +const adminApi = axios.create({ timeout: 130000 }) +adminApi.interceptors.request.use((config) => { + const token = localStorage.getItem('fa_token') + if (token) config.headers.Authorization = `Bearer ${token}` + return config +}) + +/** LLM 제공자: ollama/claude/qwen3/deepseek/glm (glm=glm4:9b·RAM 여유 필요). */ +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 + /** 선택 Ollama 모델이 서버 RAM 여유 초과 가능(glm4:9b 등) — 콜드로드 실패 시 폴백. */ + ramWarning: 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 = () => + adminApi.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) => + adminApi.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 = () => + adminApi.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..a056e5c --- /dev/null +++ b/frontend/src/api/aiFeedback.ts @@ -0,0 +1,29 @@ +// AI 답변 피드백 API — /api/ai/feedback (인증 사용자). [GUARDiA-FA] +// 👍/👎 + 교정 → 로컬 DuckDB 학습 저장소 + 중앙 guardia-rag /feedback (둘 다). 저장 전 PII 마스킹은 서버 처리. +import axios from 'axios' + +const aiApi = axios.create({ timeout: 15000 }) +aiApi.interceptors.request.use((config) => { + const token = localStorage.getItem('fa_token') + if (token) config.headers.Authorization = `Bearer ${token}` + return config +}) + +export interface AiFeedbackRequest { + feature: string + question?: string + answer?: string + verdict: 'up' | 'down' + correction?: string + answerId?: string +} + +export interface AiFeedbackResult { + verdict: string + localStored: boolean + centralStored: boolean +} + +/** POST /api/ai/feedback — 피드백 전송(로컬+중앙). */ +export const sendAiFeedback = (body: AiFeedbackRequest) => + aiApi.post('/api/ai/feedback', body).then(r => r.data?.data as AiFeedbackResult) diff --git a/frontend/src/pages/AiFactory.tsx b/frontend/src/pages/AiFactory.tsx index 16a50ff..5fbf662 100644 --- a/frontend/src/pages/AiFactory.tsx +++ b/frontend/src/pages/AiFactory.tsx @@ -1,15 +1,67 @@ import React, { useState } from 'react' -import { Brain, TrendingUp, Package, Wrench } from 'lucide-react' +import { Brain, TrendingUp, Package, Wrench, ThumbsUp, ThumbsDown } from 'lucide-react' import client from '../api/client' +import { sendAiFeedback } from '../api/aiFeedback' interface AiPanel { title: string + feature: string desc: string icon: React.ReactNode action: () => Promise color: string } +// AI 결과 하단 피드백 위젯(👍/👎 + 교정) — 로컬 DuckDB + 중앙 rag 전달. +function FeedbackBar({ feature, answer }: { feature: string; answer: string }) { + const [sent, setSent] = useState<'up' | 'down' | null>(null) + const [showCorrection, setShowCorrection] = useState(false) + const [correction, setCorrection] = useState('') + const [busy, setBusy] = useState(false) + + const submit = async (verdict: 'up' | 'down', corr?: string) => { + setBusy(true) + try { + await sendAiFeedback({ feature, answer, verdict, correction: corr }) + setSent(verdict) + setShowCorrection(false) + } catch { + /* 피드백 실패는 무시(내결함성) */ + } + setBusy(false) + } + + if (sent) { + return
피드백 감사합니다{sent === 'down' ? ' — 학습에 반영됩니다.' : '.'}
+ } + return ( +
+
+ 이 답변이 도움이 되었나요? + + +
+ {showCorrection && ( +
+