diff --git a/backend/pom.xml b/backend/pom.xml index 1c2fd89..1d2b421 100644 --- a/backend/pom.xml +++ b/backend/pom.xml @@ -45,6 +45,13 @@ ${postgresql.version} + + + org.duckdb + duckdb_jdbc + 1.1.3 + + io.jsonwebtokenjjwt-api${jjwt.version} io.jsonwebtokenjjwt-impl${jjwt.version}runtime diff --git a/backend/src/main/java/com/zioinfo/esn/ai/controller/AiConfigController.java b/backend/src/main/java/com/zioinfo/esn/ai/controller/AiConfigController.java new file mode 100644 index 0000000..89a27f3 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/controller/AiConfigController.java @@ -0,0 +1,55 @@ +package com.zioinfo.esn.ai.controller; + +import com.zioinfo.esn.ai.dto.AiConfigDto; +import com.zioinfo.esn.ai.dto.AiConfigUpdateRequest; +import com.zioinfo.esn.ai.service.AiConfigService; +import com.zioinfo.esn.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; + +import java.time.LocalDateTime; + +/** + * AI 플랫폼(LLM provider) 설정 관리(ADMIN). [GUARDiA-ESN] + * SecurityConfig {@code /api/admin/ai-config/** hasRole(ADMIN)} 게이트로 보호된다. + * + *

esn_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)); + } + + @PostMapping("/test") + public ApiResponse test() { + AiConfigService.TestResult result = service.test(); + return result.ok() + ? ApiResponse.ok(result) + : new ApiResponse<>(false, result.message(), result, LocalDateTime.now()); + } +} diff --git a/backend/src/main/java/com/zioinfo/esn/ai/controller/AiFeedbackController.java b/backend/src/main/java/com/zioinfo/esn/ai/controller/AiFeedbackController.java new file mode 100644 index 0000000..c5ffa2e --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/controller/AiFeedbackController.java @@ -0,0 +1,67 @@ +package com.zioinfo.esn.ai.controller; + +import com.zioinfo.esn.admin.AuditService; +import com.zioinfo.esn.ai.dto.AiFeedbackRequest; +import com.zioinfo.esn.ai.learning.LocalLearningStore; +import com.zioinfo.esn.common.ApiResponse; +import com.zioinfo.esn.rag.EsnRagClient; +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(👍/👎 + 교정). [GUARDiA-ESN] + * + *

{@code POST /api/ai/feedback} — 인증 사용자면 누구나 제출(SecurityConfig POST /api/** 일반 규칙). + * 로컬 DuckDB({@link LocalLearningStore}, 오프라인 AI 분석)와 중앙 guardia-rag({@link EsnRagClient#feedback}, + * 통합 학습·평가 게이트)에 둘 다 기록한다. 어느 한쪽 실패가 다른 쪽/응답을 막지 않는다(best-effort). + * + *

보안 불변: 저장 전 PII 마스킹(LocalLearningStore). 사용자 식별자는 마스킹. 자격증명 미기록. + * 응답은 저장 성공 여부 요약만 반환(원문/키/스택 미노출). + */ +@RestController +@RequestMapping("/api/ai/feedback") +@RequiredArgsConstructor +public class AiFeedbackController { + + private final LocalLearningStore learningStore; + private final EsnRagClient ragClient; + + @PostMapping + public ApiResponse> submit(@RequestBody AiFeedbackRequest req) { + String actor = AuditService.currentActor(); + String verdict = req.verdict() == null ? "unknown" : req.verdict().trim(); + + // 1) 로컬 DuckDB 기록(마스킹은 저장 계층에서 수행) — best-effort + boolean storedLocal = false; + try { + learningStore.recordFeedback(req.feature(), req.question(), req.answer(), + verdict, req.correction(), actor); + storedLocal = learningStore.isAvailable(); + } catch (Exception ignore) { + // no-op — 무영향 + } + + // 2) 중앙 guardia-rag /feedback 전달(테넌트 격리) — best-effort + boolean forwarded = false; + try { + Map res = ragClient.feedback( + req.tenantCode(), req.answerId(), req.question(), req.answer(), + verdict, req.correction(), LocalLearningStore.maskUser(actor)); + Object stored = res == null ? null : res.get("stored"); + forwarded = Boolean.TRUE.equals(stored); + } catch (Exception ignore) { + // no-op — 중앙 미가용은 degraded, 로컬 기록으로 무손실 + } + + Map out = new LinkedHashMap<>(); + out.put("storedLocal", storedLocal); + out.put("forwardedCentral", forwarded); + return ApiResponse.ok("피드백이 접수되었습니다.", out); + } +} diff --git a/backend/src/main/java/com/zioinfo/esn/ai/dto/AiConfigDto.java b/backend/src/main/java/com/zioinfo/esn/ai/dto/AiConfigDto.java new file mode 100644 index 0000000..52d7838 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/dto/AiConfigDto.java @@ -0,0 +1,18 @@ +package com.zioinfo.esn.ai.dto; + +/** + * AI 설정 조회 DTO — API 키 값 미반환(claudeKeySet 으로 설정 여부만). [GUARDiA-ESN] + * + * @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/esn/ai/dto/AiConfigUpdateRequest.java b/backend/src/main/java/com/zioinfo/esn/ai/dto/AiConfigUpdateRequest.java new file mode 100644 index 0000000..61e0845 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/dto/AiConfigUpdateRequest.java @@ -0,0 +1,14 @@ +package com.zioinfo.esn.ai.dto; + +/** + * AI 설정 저장 요청 — 화이트리스트 검증. [GUARDiA-ESN] + * + * @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/esn/ai/dto/AiFeedbackRequest.java b/backend/src/main/java/com/zioinfo/esn/ai/dto/AiFeedbackRequest.java new file mode 100644 index 0000000..cbf4583 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/dto/AiFeedbackRequest.java @@ -0,0 +1,24 @@ +package com.zioinfo.esn.ai.dto; + +/** + * AI 답변 피드백 요청(👍/👎 + 교정). [GUARDiA-ESN] + * + *

로컬 DuckDB(오프라인 분석) + 중앙 guardia-rag {@code /feedback}(통합 학습·평가 게이트) 둘 다 기록. + * + * @param feature 피드백 대상 기능(alarm-analysis / pos-classify / chat ...) + * @param question 원 질문/프롬프트(마스킹 후 저장) + * @param answer AI 답변(마스킹 후 저장) + * @param verdict up | down (또는 good/bad) + * @param correction 사용자 교정 내용(선택, 마스킹 후 저장) + * @param answerId 중앙 RAG answer_id(선택 — /answer 응답에서 받은 경우) + * @param tenantCode 테넌트 격리 코드(선택) + */ +public record AiFeedbackRequest( + String feature, + String question, + String answer, + String verdict, + String correction, + String answerId, + String tenantCode) { +} diff --git a/backend/src/main/java/com/zioinfo/esn/ai/learning/LocalLearningStore.java b/backend/src/main/java/com/zioinfo/esn/ai/learning/LocalLearningStore.java new file mode 100644 index 0000000..198cf70 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/learning/LocalLearningStore.java @@ -0,0 +1,177 @@ +package com.zioinfo.esn.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.sql.Timestamp; +import java.time.Instant; +import java.util.regex.Pattern; + +/** + * 로컬 임베디드 DuckDB 학습/분석 저장소. [GUARDiA-ESN] + * + *

AI 피드백(👍/👎+교정)과 추론 로그(provider/model/latency/degraded)를 솔루션별 로컬 DuckDB 파일에 + * 격리 저장한다(오프라인 AI 분석용). 중앙 guardia-rag {@code /feedback}(통합 학습·평가 게이트)와는 + * 병행이며 서로를 대체하지 않는다(피드백은 로컬 + 중앙 둘 다 기록). + * + *

파일: {@code guardia.learning.duckdb-path}(기본 {@code /opt/guardia-esn/data/esn_learning.duckdb}). + * 스키마는 부팅 시 멱등 생성({@code CREATE TABLE/SEQUENCE IF NOT EXISTS}). + * + *

Fail-Safe: DuckDB 초기화/기록 실패는 본업을 막지 않는다(예외 흡수·no-op). + * 파일 미생성/드라이버 부재/권한 문제 시 {@code available=false} 로 조용히 비활성(로그 1줄만). + * DuckDB 는 프로세스당 단일 R/W 연결이므로 하나의 {@link Connection} 을 락으로 직렬화한다. + * + *

보안 불변: 저장 전 PII(주민번호·카드·전화·이메일) 마스킹. 사용자 식별자는 앞 2자만 남기고 마스킹. + * 자격증명/비밀번호/스택트레이스는 어떤 컬럼에도 기록하지 않는다(호출 측이 요약만 전달). + */ +@Slf4j +@Component +public class LocalLearningStore { + + @Value("${guardia.learning.duckdb-path:/opt/guardia-esn/data/esn_learning.duckdb}") + private String dbPath; + + @Value("${guardia.rag.solution:esn}") + private String solution; + + private volatile boolean available = false; + private Connection conn; + private final Object lock = new Object(); + + // PII 패턴(마스킹) — 최소 집합. 과탐보다 미기록이 안전. + private static final Pattern RRN = Pattern.compile("\\b\\d{6}[- ]?\\d{7}\\b"); + private static final Pattern CARD = Pattern.compile("\\b\\d{4}[- ]?\\d{4}[- ]?\\d{4}[- ]?\\d{4}\\b"); + private static final Pattern PHONE = Pattern.compile("\\b01[016789][- ]?\\d{3,4}[- ]?\\d{4}\\b"); + private static final Pattern EMAIL = Pattern.compile("[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\\.[A-Za-z]{2,}"); + private static final int MAX_LEN = 4000; + + @PostConstruct + void init() { + try { + File f = new File(dbPath); + File dir = f.getParentFile(); + if (dir != null && !dir.exists() && !dir.mkdirs()) { + log.warn("DuckDB 디렉터리 생성 불가 — 로컬 학습 저장소 비활성: {}", dir); + return; + } + Class.forName("org.duckdb.DuckDBDriver"); + 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, 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, ts TIMESTAMP, provider VARCHAR, model VARCHAR, latency_ms BIGINT, degraded BOOLEAN)"); + } + available = true; + log.info("로컬 DuckDB 학습 저장소 준비 완료: {}", dbPath); + } catch (Throwable t) { + // 드라이버 부재/권한/파일락 등 — 본업 무영향. 조용히 비활성(스택 미노출). + available = false; + log.warn("로컬 DuckDB 학습 저장소 비활성(무영향): {}", t.getClass().getSimpleName()); + } + } + + public boolean isAvailable() { + return available; + } + + /** 피드백 1건 기록(멱등 아님 — append). PII 마스킹 후 저장. 실패는 흡수. */ + public void recordFeedback(String feature, String question, String answer, + String verdict, String correction, String user) { + if (!available) { + return; + } + synchronized (lock) { + try (PreparedStatement ps = conn.prepareStatement( + "INSERT INTO ai_feedback VALUES (nextval('seq_ai_feedback'), ?, ?, ?, ?, ?, ?, ?, ?)")) { + ps.setTimestamp(1, Timestamp.from(Instant.now())); + ps.setString(2, solution); + ps.setString(3, clip(feature)); + ps.setString(4, mask(question)); + ps.setString(5, mask(answer)); + ps.setString(6, clip(verdict)); + ps.setString(7, mask(correction)); + ps.setString(8, maskUser(user)); + ps.executeUpdate(); + } catch (Exception e) { + log.warn("DuckDB ai_feedback 기록 실패(무영향): {}", e.getClass().getSimpleName()); + } + } + } + + /** 추론 로그 1건 기록(provider/model/latency/degraded). 실패는 흡수. */ + public void recordInfer(String provider, String model, long latencyMs, boolean degraded) { + if (!available) { + return; + } + synchronized (lock) { + try (PreparedStatement ps = conn.prepareStatement( + "INSERT INTO ai_infer_log VALUES (nextval('seq_ai_infer_log'), ?, ?, ?, ?, ?)")) { + ps.setTimestamp(1, Timestamp.from(Instant.now())); + ps.setString(2, clip(provider)); + ps.setString(3, clip(model)); + ps.setLong(4, latencyMs); + ps.setBoolean(5, degraded); + ps.executeUpdate(); + } catch (Exception e) { + log.warn("DuckDB ai_infer_log 기록 실패(무영향): {}", e.getClass().getSimpleName()); + } + } + } + + @PreDestroy + void close() { + synchronized (lock) { + if (conn != null) { + try { + conn.close(); + } catch (Exception ignore) { + // no-op + } + } + } + } + + // ── PII 마스킹 ───────────────────────────────────────────────────────── + static String mask(String s) { + if (s == null || s.isBlank()) { + return s; + } + String out = s; + out = RRN.matcher(out).replaceAll("######-#######"); + out = CARD.matcher(out).replaceAll("****-****-****-****"); + out = PHONE.matcher(out).replaceAll("***-****-****"); + out = EMAIL.matcher(out).replaceAll("***@***"); + return clip(out); + } + + /** 사용자 식별자 마스킹: 앞 2자만 노출. */ + public static String maskUser(String u) { + if (u == null || u.isBlank()) { + return null; + } + String t = u.trim(); + if (t.length() <= 2) { + return t.charAt(0) + "*"; + } + return t.substring(0, 2) + "***"; + } + + private static String clip(String s) { + if (s == null) { + return null; + } + return s.length() > MAX_LEN ? s.substring(0, MAX_LEN) : s; + } +} diff --git a/backend/src/main/java/com/zioinfo/esn/ai/service/AiConfigService.java b/backend/src/main/java/com/zioinfo/esn/ai/service/AiConfigService.java new file mode 100644 index 0000000..9e231df --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/service/AiConfigService.java @@ -0,0 +1,254 @@ +package com.zioinfo.esn.ai.service; + +import com.zioinfo.esn.admin.AuditService; +import com.zioinfo.esn.admin.dto.EsnSetting; +import com.zioinfo.esn.admin.mapper.SettingMapper; +import com.zioinfo.esn.ai.dto.AiConfigDto; +import com.zioinfo.esn.ai.dto.AiConfigUpdateRequest; +import com.zioinfo.esn.common.ai.ClaudeTextClient; +import com.zioinfo.esn.common.ai.TextAiClient.GenResult; +import com.zioinfo.esn.config.OllamaClient; +import lombok.RequiredArgsConstructor; +import org.springframework.beans.factory.annotation.Value; +import org.springframework.stereotype.Service; + +import java.util.Set; + +/** + * AI provider 런타임 설정(esn_setting, key='ai.*') 단일 출처 서비스. [GUARDiA-ESN] + * + *

해상도: DB(esn_setting) 우선 → 미설정 시 기본값/env 폴백. 시드(db/94) 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 텍스트 모델로 generate. claude 는 Claude→실패 시 Ollama(선택모델) 폴백(라우터). + * glm(glm4:9b)은 화이트리스트에 등록되나 서버 RAM(~2.1GB) 초과로 콜드로드 실패 시 폴백(설정 화면 "RAM 증설 필요" 배지). + * + *

레퍼런스: GUARDiA OCR {@code ai.service.AiConfigService} 미러(GLM provider 추가·설정저장소 ESN 패턴 치환). + */ +@Service +@RequiredArgsConstructor +public class AiConfigService { + + // --- esn_setting 키 (db/94 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 CATEGORY_AI = "AI"; + + 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 초과 가능 — 콜드로드 실패 시 폴백 + + /** 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 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); + + 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); + } + + // 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); + } + 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)); + } + if (PROVIDER_GLM.equals(provider())) { + return new TestResult(false, true, + "GLM(glm4:9b) 응답 없음 — 서버 RAM 증설 필요(약 5.5GB). 확보 전까지 소형 모델/폴백을 권장합니다."); + } + 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) { + EsnSetting 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) { + EsnSetting before = repo.findByKey(key); + String prev = before == null ? "(none)" : before.getSettingValue(); + if (val.equals(prev)) { + return; // 변경 없음 → 감사 로그 생략 + } + String desc = before == null ? "AI 플랫폼 설정" : before.getDescription(); + repo.upsert(key, val, CATEGORY_AI, desc); + auditService.log("AI_CONFIG_CHANGE", "SETTING", key, prev + " -> " + val); + } +} diff --git a/backend/src/main/java/com/zioinfo/esn/ai/service/AiTextRouter.java b/backend/src/main/java/com/zioinfo/esn/ai/service/AiTextRouter.java new file mode 100644 index 0000000..4e13fad --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/ai/service/AiTextRouter.java @@ -0,0 +1,76 @@ +package com.zioinfo.esn.ai.service; + +import com.zioinfo.esn.ai.learning.LocalLearningStore; +import com.zioinfo.esn.common.ai.ClaudeTextClient; +import com.zioinfo.esn.common.ai.TextAiClient; +import com.zioinfo.esn.common.ai.TextAiClient.GenResult; +import com.zioinfo.esn.config.OllamaClient; +import lombok.RequiredArgsConstructor; +import lombok.extern.slf4j.Slf4j; +import org.springframework.stereotype.Service; + +/** + * AI provider 선택 라우팅(런타임). 평문 텍스트 생성 진입점(알람 원인분석·POS 분류 등). [GUARDiA-ESN] + * {@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 규칙기반 폴백 유지(무회귀). + * 각 호출은 provider/model/latency/degraded 를 로컬 DuckDB({@link LocalLearningStore})에 best-effort 기록한다. + * + *

알람/POS 프롬프트는 {@code controller.AiController} 가 본 라우터로 위임한다. 실패 시 컨트롤러가 + * 기존 {@code OllamaClient#chat} 규칙기반 폴백으로 최종 방어(응답 항상 비어있지 않음). + * + *

레퍼런스: GUARDiA OCR {@code ai.service.AiTextRouter} 미러(GLM 경로·DuckDB 추론로그 추가). + */ +@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 LocalLearningStore learningStore; + + /** + * 선택된 provider 로 텍스트를 생성한다. Claude 선택·실패 시 Ollama 폴백. 예외를 던지지 않는다. + */ + @Override + public GenResult generate(String prompt) { + long start = System.currentTimeMillis(); + if (aiConfig.isClaudeActive()) { + String model = aiConfig.claudeModel(); + GenResult r = claudeClient.generate(prompt, model); + if (!r.degraded() && r.text() != null && !r.text().isBlank()) { + logInfer(AiConfigService.PROVIDER_CLAUDE, model, start, false); + return r; + } + // claude 실패/빈응답 → 온프레미스 Ollama 자동 폴백(선택모델). + log.warn("Claude path degraded -> Ollama fallback"); + return ollamaGenerate(AiConfigService.PROVIDER_CLAUDE, prompt, aiConfig.ollamaTextModel(), start); + } + // provider = ollama / qwen3 / deepseek / glm → 해당 Ollama 모델 + return ollamaGenerate(aiConfig.provider(), prompt, aiConfig.ollamaTextModel(), start); + } + + /** Ollama 평문 generate 를 GenResult 로 래핑(실패 시 degraded) + 추론 로그. */ + private GenResult ollamaGenerate(String provider, String prompt, String model, long start) { + String txt = ollamaClient.generateText(prompt, model); + boolean degraded = (txt == null || txt.isBlank()); + logInfer(provider, model, start, degraded); + return degraded ? new GenResult(null, true) : new GenResult(txt, false); + } + + private void logInfer(String provider, String model, long start, boolean degraded) { + try { + learningStore.recordInfer(provider, model, System.currentTimeMillis() - start, degraded); + } catch (Exception ignore) { + // best-effort — 추론 로그 실패가 본업을 막지 않는다. + } + } +} diff --git a/backend/src/main/java/com/zioinfo/esn/common/ai/ClaudeTextClient.java b/backend/src/main/java/com/zioinfo/esn/common/ai/ClaudeTextClient.java new file mode 100644 index 0000000..51a856c --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/common/ai/ClaudeTextClient.java @@ -0,0 +1,171 @@ +package com.zioinfo.esn.common.ai; + +import com.fasterxml.jackson.databind.JsonNode; +import com.fasterxml.jackson.databind.ObjectMapper; +import com.zioinfo.esn.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-ESN] + * + *

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. + * + *

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(프롬프트 직렬화 안전). */ + 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/esn/common/ai/TextAiClient.java b/backend/src/main/java/com/zioinfo/esn/common/ai/TextAiClient.java new file mode 100644 index 0000000..6c93375 --- /dev/null +++ b/backend/src/main/java/com/zioinfo/esn/common/ai/TextAiClient.java @@ -0,0 +1,27 @@ +package com.zioinfo.esn.common.ai; + +/** + * 텍스트 생성 공용 인터페이스 (AI provider 추상화). [GUARDiA-ESN] + * + *

온프레미스 Ollama({@code config.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 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/esn/config/OllamaClient.java b/backend/src/main/java/com/zioinfo/esn/config/OllamaClient.java index 58c1e7f..021a8e1 100644 --- a/backend/src/main/java/com/zioinfo/esn/config/OllamaClient.java +++ b/backend/src/main/java/com/zioinfo/esn/config/OllamaClient.java @@ -65,6 +65,48 @@ public class OllamaClient { } } + /** + * 평문 텍스트 생성(모델 지정). AiTextRouter/AiConfigService 연결 테스트 진입점. + * + *

{@link #chat(String, String)} 과 달리 실패 시 규칙기반 폴백 문자열을 만들지 않고 {@code null} + * 을 반환한다(라우터가 degraded 로 감지해 다음 단계 폴백을 수행하게 하기 위함). + * + * @param prompt 사용자 프롬프트(시스템 지시 포함 가능) + * @param modelOverride 사용할 Ollama 모델(null/blank 이면 서버 기본 {@code guardia.ollama-text-model}) + * @return 생성 텍스트(성공) 또는 {@code null}(비200/타임아웃/예외/빈응답) + */ + public String generateText(String prompt, String modelOverride) { + if (prompt == null || prompt.isBlank()) { + return null; + } + String useModel = (modelOverride == null || modelOverride.isBlank()) ? model : modelOverride; + try { + var body = Map.of( + "model", useModel, + "messages", new Object[]{ Map.of("role", "user", "content", prompt) }, + "stream", false + ); + String json = mapper.writeValueAsString(body); + HttpRequest req = HttpRequest.newBuilder() + .uri(URI.create(baseUrl + "/api/chat")) + .header("Content-Type", "application/json") + .POST(HttpRequest.BodyPublishers.ofString(json)) + .timeout(Duration.ofSeconds(120)) + .build(); + HttpResponse resp = http.send(req, HttpResponse.BodyHandlers.ofString()); + if (resp.statusCode() == 200) { + var res = mapper.readTree(resp.body()); + String text = res.path("message").path("content").asText(""); + return (text == null || text.isBlank()) ? null : text.trim(); + } + log.warn("Ollama generateText status {} — null 반환(라우터 폴백)", resp.statusCode()); + return null; + } catch (Exception e) { + log.warn("Ollama generateText 실패 — null 반환(라우터 폴백): {}", e.getClass().getSimpleName()); + return null; + } + } + private String fallback(String prompt) { if (prompt.toLowerCase().contains("alarm") || prompt.contains("알람")) { return "알람 분석: 장치 연결 상태를 확인하고 네트워크 환경을 점검하세요. 지속 발생 시 현장 엔지니어 파견이 필요합니다."; diff --git a/backend/src/main/java/com/zioinfo/esn/config/SecurityConfig.java b/backend/src/main/java/com/zioinfo/esn/config/SecurityConfig.java index e87b163..8668b69 100644 --- a/backend/src/main/java/com/zioinfo/esn/config/SecurityConfig.java +++ b/backend/src/main/java/com/zioinfo/esn/config/SecurityConfig.java @@ -52,6 +52,8 @@ public class SecurityConfig { // admin 보조: 감사로그 조회·설정 조회 = ADMIN/MANAGER, 설정 변경 = ADMIN // (아래 일반 PUT /api/** 규칙보다 먼저 평가되도록 상단 배치) .requestMatchers(HttpMethod.PUT, "/api/admin/settings/**").hasRole("ADMIN") + // AI 플랫폼(LLM provider) 설정 — 조회/갱신/테스트 모두 ADMIN 전용 (상단 배치로 우선 평가) + .requestMatchers("/api/admin/ai-config/**").hasRole("ADMIN") .requestMatchers("/api/admin/**").hasAnyRole("ADMIN", "MANAGER") // AI 기법 토글 변경 = MANAGER+ (조회/실행은 일반 인증 사용자) — 상단 배치로 우선 평가 .requestMatchers(HttpMethod.PUT, "/api/ai/rag/toggles/**").hasAnyRole("ADMIN", "MANAGER") diff --git a/backend/src/main/java/com/zioinfo/esn/controller/AiController.java b/backend/src/main/java/com/zioinfo/esn/controller/AiController.java index ba727e9..c57011c 100644 --- a/backend/src/main/java/com/zioinfo/esn/controller/AiController.java +++ b/backend/src/main/java/com/zioinfo/esn/controller/AiController.java @@ -1,20 +1,32 @@ package com.zioinfo.esn.controller; +import com.zioinfo.esn.ai.service.AiTextRouter; import com.zioinfo.esn.common.ApiResponse; +import com.zioinfo.esn.common.ai.TextAiClient.GenResult; import com.zioinfo.esn.config.OllamaClient; import lombok.RequiredArgsConstructor; import org.springframework.web.bind.annotation.*; import java.util.Map; +/** + * ESN 텍스트 AI(알람 원인분석·POS 자동분류·운영 채팅) 진입점. + * + *

provider 라우팅: {@link AiTextRouter} 를 경유해 Claude(외부, 키 설정 시)↔Ollama(온프레미스, + * qwen3/deepseek/glm/기존소형)를 런타임 선택한다. 라우터가 degraded 를 반환하면(키 미설정·전 provider 실패) + * 기존 {@link OllamaClient#chat} 규칙기반 폴백으로 최종 방어 — 응답은 항상 비어있지 않다(무회귀). + * + *

보안 불변: 외부 AI 는 Claude(소유자 승인 예외) 단일 경로. 그 외 외부 호출 금지. 키/스택 미노출. + */ @RestController @RequestMapping("/api/ai") @RequiredArgsConstructor public class AiController { + private final AiTextRouter aiRouter; private final OllamaClient ollama; /** - * 알람 AI 이상 분석 — Ollama 온프레미스만 허용. + * 알람 AI 이상 분석 — provider 라우팅(Claude↔Ollama), 실패 시 규칙기반 폴백. */ @PostMapping("/analyze-alarm") public ApiResponse> analyzeAlarm(@RequestBody Map body) { @@ -22,20 +34,19 @@ public class AiController { String message = (String) body.getOrDefault("message", ""); String severity = (String) body.getOrDefault("severity", "LOW"); + String system = "당신은 ESL(전자 가격표) 시스템 전문 AI 엔지니어입니다. 알람을 분석하고 실용적인 조치를 제안하세요."; String prompt = String.format( "ESL 장치 알람 분석:\n유형: %s\n심각도: %s\n메시지: %s\n\n" + "원인 분석 및 조치 방안을 3줄 이내로 간결하게 제시하세요.", alarmType, severity, message ); - String result = ollama.chat(prompt, - "당신은 ESL(전자 가격표) 시스템 전문 AI 엔지니어입니다. 알람을 분석하고 실용적인 조치를 제안하세요."); - + String result = routeOrFallback(system, prompt); return ApiResponse.ok(Map.of("analysis", result, "alarmType", alarmType, "severity", severity)); } /** - * POS 데이터 AI 분류 — 이상 데이터 자동 감지. + * POS 데이터 AI 분류 — 이상 데이터 자동 감지(provider 라우팅, 실패 시 규칙기반 폴백). */ @PostMapping("/classify-pos") public ApiResponse> classifyPos(@RequestBody Map body) { @@ -43,15 +54,14 @@ public class AiController { String price = String.valueOf(body.getOrDefault("price", "0")); String salePrice = String.valueOf(body.getOrDefault("salePrice", "0")); + String system = "당신은 POS 데이터 품질 관리 AI입니다. 가격 데이터의 이상을 감지하세요."; String prompt = String.format( "POS 가격 데이터 검증:\n상품코드: %s\n정가: %s\n판매가: %s\n\n" + "이 데이터가 정상인지 이상(오류/이상값)인지 판단하고, 분류(NORMAL/ABNORMAL)와 이유를 2줄 이내로 제시하세요.", productCode, price, salePrice ); - String result = ollama.chat(prompt, - "당신은 POS 데이터 품질 관리 AI입니다. 가격 데이터의 이상을 감지하세요."); - + String result = routeOrFallback(system, prompt); String classification = result.toUpperCase().contains("ABNORMAL") ? "ABNORMAL" : "NORMAL"; return ApiResponse.ok(Map.of( @@ -62,12 +72,27 @@ public class AiController { } /** - * 일반 AI 채팅 — ESN 운영 관련 질문. + * 일반 AI 채팅 — ESN 운영 관련 질문(provider 라우팅, 실패 시 규칙기반 폴백). */ @PostMapping("/chat") public ApiResponse> chat(@RequestBody Map body) { String message = body.getOrDefault("message", ""); - String result = ollama.chat(message, "ESL 전자 가격표 통합 관리 플랫폼 운영 전문가입니다."); + String system = "ESL 전자 가격표 통합 관리 플랫폼 운영 전문가입니다."; + String result = routeOrFallback(system, message); return ApiResponse.ok(Map.of("response", result)); } + + /** + * 라우터(Claude↔Ollama) 경유 → degraded 면 기존 OllamaClient.chat 규칙기반 폴백. + * 시스템 지시는 프롬프트 앞에 병합(단일 user 메시지 계약). 응답은 항상 비어있지 않다. + */ + private String routeOrFallback(String system, String prompt) { + String merged = (system == null || system.isBlank()) ? prompt : system + "\n\n" + prompt; + GenResult r = aiRouter.generate(merged); + if (!r.degraded() && r.text() != null && !r.text().isBlank()) { + return r.text(); + } + // 전 provider 실패 → 기존 규칙기반 폴백(무회귀, 항상 문자열 반환). + return ollama.chat(prompt, system); + } } diff --git a/backend/src/main/resources/application.yml b/backend/src/main/resources/application.yml index e7b5ffe..f6fbbde 100644 --- a/backend/src/main/resources/application.yml +++ b/backend/src/main/resources/application.yml @@ -28,6 +28,8 @@ spring: - classpath:db/92_esn_rag_setting.sql # 로그인 보조(가입 승인대기/아이디찾기) — esn_user name/approval_status ALTER (멱등) - classpath:db/93_esn_login_helper.sql + # AI 플랫폼(Claude 전환) provider/모델 설정 시드 — esn_setting ai.* (멱등) + - classpath:db/94_seed_ai_config.sql web: resources: static-locations: classpath:/static/ @@ -46,6 +48,9 @@ guardia: ollama-url: ${OLLAMA_URL:http://localhost:11434} ollama-text-model: ${OLLAMA_TEXT_MODEL:llama3.2:1b} itsm-url: ${ITSM_URL:http://localhost:9001} + # 로컬 임베디드 DuckDB AI 학습/분석 저장소(오프라인). 미가용 시 조용히 비활성(본업 무영향). + learning: + duckdb-path: ${LEARNING_DUCKDB_PATH:/opt/guardia-esn/data/esn_learning.duckdb} # 중앙 guardia-rag (온프레미스 루프백 전용 — 외부 엔드포인트 금지). # 미가용/타임아웃 시 EsnRagClient 가 degraded 폴백, 기존 OllamaClient/룰로 무손실 동작. rag: diff --git a/backend/src/main/resources/db/94_seed_ai_config.sql b/backend/src/main/resources/db/94_seed_ai_config.sql new file mode 100644 index 0000000..33dd22a --- /dev/null +++ b/backend/src/main/resources/db/94_seed_ai_config.sql @@ -0,0 +1,28 @@ +-- ===================================================================== +-- GUARDiA ESN — 94. AI 플랫폼(LLM provider) 설정 시드 (멱등) +-- 대상 DB : guardia_esn_db (테이블 esn_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 (setting_key) DO NOTHING. +-- 참고 : 기존 ai.ollama.text.model / ai.ollama.enabled(레거시 키)와 별개(신규 ai.* 키). +-- ===================================================================== + +SET client_encoding = 'UTF8'; + +INSERT INTO esn_setting (setting_key, setting_value, category, description) VALUES + ('ai.provider', 'ollama', 'AI', 'LLM provider(ollama/claude/qwen3/deepseek/glm)'), + ('ai.claude.model', 'claude-sonnet-4-6', 'AI', 'Claude 모델 ID(화이트리스트)'), + ('ai.ollama.textModel', '', 'AI', 'Ollama 텍스트 모델(빈값=서버 기본 폴백)'), + ('ai.enabled', 'true', 'AI', '전역 AI 사용 여부(off=규칙기반 degraded)') +ON CONFLICT (setting_key) DO NOTHING; + +-- end 94_seed_ai_config.sql diff --git a/backend/src/main/resources/static/assets/index-Brirvf7y.js b/backend/src/main/resources/static/assets/index-Brirvf7y.js new file mode 100644 index 0000000..2fe0431 --- /dev/null +++ b/backend/src/main/resources/static/assets/index-Brirvf7y.js @@ -0,0 +1,457 @@ +var v1=e=>{throw TypeError(e)};var 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\`/\`\` and will default to "${ad}"`),null):e}function HD(e,t){let n,r,a,i,o;if(kD(e)){let l=e.getAttribute("action");r=l?fa(l,t):null,n=e.getAttribute("method")||rd,a=iy(e.getAttribute("enctype"))||ad,i=new FormData(e)}else if(DD(e)||LD(e)&&(e.type==="submit"||e.type==="image")){let l=e.form;if(l==null)throw new Error('Cannot submit a + + + {verdict === 'down' && ( +
+ setCorrection(e.target.value)} + placeholder="올바른 답/개선 의견(선택)" + className="flex-1 bg-ink border border-edge rounded px-2 py-1 text-xs text-slate-300 placeholder-slate-600" + /> + +
+ )} + + ) +} diff --git a/frontend/src/components/Sidebar.tsx b/frontend/src/components/Sidebar.tsx index 79770ec..80f29bf 100644 --- a/frontend/src/components/Sidebar.tsx +++ b/frontend/src/components/Sidebar.tsx @@ -25,6 +25,7 @@ const nav = [ { to: '/settings', icon: Settings, label: '시스템 설정' }, { to: '/ai', icon: Brain, label: 'AI 분석' }, { to: '/ai-techniques', icon: Sparkles, label: 'AI 기법 설정' }, + { to: '/ai-platform', icon: Cpu, label: 'AI 플랫폼 설정' }, { to: '/worklogs', icon: NotebookPen, label: '업무일지' }, { to: '/schedules', icon: CalendarDays, label: '일정 관리' }, { to: '/messages', icon: Mail, label: '쪽지' }, diff --git a/frontend/src/pages/AiAnalysis.tsx b/frontend/src/pages/AiAnalysis.tsx index 9d8945d..d076d61 100644 --- a/frontend/src/pages/AiAnalysis.tsx +++ b/frontend/src/pages/AiAnalysis.tsx @@ -2,6 +2,7 @@ import { useState } from 'react' import { useMutation } from '@tanstack/react-query' import { analyzeAlarm, classifyPos } from '../api/client' import { Brain, Zap, AlertTriangle, Tag } from 'lucide-react' +import AiFeedback from '../components/AiFeedback' export default function AiAnalysis() { const [alarmText, setAlarmText] = useState('') @@ -48,8 +49,9 @@ export default function AiAnalysis() { {alarmMut.isPending ? '분석 중...' : 'Ollama 분석'} {alarmResult && ( -
- {alarmResult} +
+
{alarmResult}
+
)}
@@ -75,8 +77,9 @@ export default function AiAnalysis() { {posMut.isPending ? '분류 중...' : 'Ollama 분류'} {posResult && ( -
- {posResult} +
+
{posResult}
+
)}
diff --git a/frontend/src/pages/AiPlatformSettings.tsx b/frontend/src/pages/AiPlatformSettings.tsx new file mode 100644 index 0000000..483c3c1 --- /dev/null +++ b/frontend/src/pages/AiPlatformSettings.tsx @@ -0,0 +1,266 @@ +// AI 플랫폼(LLM Provider) 설정(ADMIN) — 제공자·모델 선택 + 연결 테스트. [GUARDiA-ESN] +// API 키 값은 화면에 절대 표시/입력하지 않는다(claudeKeySet 으로 설정 여부 배지만). +// 저장은 provider/claudeModel 만 전송(ollama 계열 모델·전역 활성은 읽기 전용 표시). +// 레퍼런스: GUARDiA OCR AiPlatformSettings.tsx (GLM provider·RAM 배지 추가). +import { useEffect, useState } from 'react' +import { Cpu, KeyRound, PlugZap, Save, AlertTriangle } from 'lucide-react' +import { getAiConfig, updateAiConfig, testAiConfig } from '../api/adminAiConfig' +import type { AiProvider, ClaudeModel, AiTestResult } from '../api/adminAiConfig' + +const PROVIDERS: { id: AiProvider; label: string; hint: string; ramWarn?: boolean }[] = [ + { id: 'ollama', label: 'Ollama (기본)', hint: '온프레미스 · llama3.2:1b' }, + { id: 'qwen3', label: 'Qwen3', hint: '온프레미스 · qwen3:1.7b' }, + { id: 'deepseek', label: 'DeepSeek', hint: '온프레미스 · deepseek-r1:1.5b' }, + { id: 'glm', label: 'GLM', hint: '온프레미스 · glm4:9b', ramWarn: true }, + { id: 'claude', label: 'Claude (외부)', hint: 'api.anthropic.com · 키 필요' }, +] + +const CLAUDE_MODELS: ClaudeModel[] = ['claude-sonnet-4-6', 'claude-haiku-4-5', 'claude-opus-4-8'] +const DEFAULT_CLAUDE_MODEL: ClaudeModel = 'claude-sonnet-4-6' +const normModel = (v: string): ClaudeModel => + (CLAUDE_MODELS as string[]).includes(v) ? (v as ClaudeModel) : DEFAULT_CLAUDE_MODEL + +function friendlyError(e: any): string { + const msg: string = e?.response?.data?.message || '' + if (e?.response?.status === 403) return '권한이 없습니다 (AI 설정은 ADMIN 전용).' + if (msg.includes('ERR-AI-400')) return msg.replace(/^ERR-AI-400:\s*/, '') + return 'AI 설정을 처리하지 못했습니다.' +} + +export default function AiPlatformSettings() { + const [provider, setProvider] = useState('ollama') + const [claudeModel, setClaudeModel] = useState(DEFAULT_CLAUDE_MODEL) + const [claudeKeySet, setClaudeKeySet] = useState(false) + const [ollamaTextModel, setOllamaTextModel] = useState('') + const [aiEnabled, setAiEnabled] = useState(true) + + const [loading, setLoading] = useState(false) + const [saving, setSaving] = useState(false) + const [saved, setSaved] = useState(false) + const [err, setErr] = useState('') + + const [testing, setTesting] = useState(false) + const [testResult, setTestResult] = useState(null) + + const load = () => { + setLoading(true) + getAiConfig() + .then(dto => { + setProvider(dto.provider) + setClaudeModel(normModel(dto.claudeModel ?? DEFAULT_CLAUDE_MODEL)) + setClaudeKeySet(!!dto.claudeKeySet) + setOllamaTextModel(dto.ollamaTextModel ?? '') + setAiEnabled(!!dto.aiEnabled) + setErr('') + }) + .catch(e => setErr(friendlyError(e))) + .finally(() => setLoading(false)) + } + + useEffect(() => { load() }, []) + + const markDirty = () => { setSaved(false); setTestResult(null) } + + const submit = async () => { + setSaving(true) + setSaved(false) + try { + const dto = await updateAiConfig({ provider, claudeModel }) + setProvider(dto.provider) + setClaudeModel(normModel(dto.claudeModel ?? DEFAULT_CLAUDE_MODEL)) + setClaudeKeySet(!!dto.claudeKeySet) + setOllamaTextModel(dto.ollamaTextModel ?? '') + setAiEnabled(!!dto.aiEnabled) + setSaved(true) + setErr('') + } catch (e) { + setErr(friendlyError(e)) + } finally { + setSaving(false) + } + } + + const runTest = async () => { + setTesting(true) + setTestResult(null) + try { + setTestResult(await testAiConfig()) + } catch (e) { + setTestResult({ ok: false, degraded: false, message: friendlyError(e) }) + } finally { + setTesting(false) + } + } + + const isClaude = provider === 'claude' + const isGlm = provider === 'glm' + const showKeyFallback = isClaude && !claudeKeySet + const showDisabledFallback = !isClaude && !aiEnabled + + const statusClass = testResult + ? testResult.degraded + ? 'text-amber-300' + : testResult.ok + ? 'text-emerald-300' + : 'text-rose-300' + : '' + + return ( +
+
+
+

+ AI 플랫폼 설정 +

+

+ 알람 원인분석·POS 분류 등 텍스트 생성에 사용할 LLM 제공자와 모델을 선택합니다. +

+
+ +
+ + {err && ( +
+ {err} +
+ )} + + {(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 => ( + + ))} +
+ + {/* GLM — RAM 증설 경고(선택은 허용하되 콜드로드 실패 시 폴백) */} + {isGlm && ( +
+ + GLM(glm4:9b)은 약 5.5GB 로드가 필요합니다. 서버 RAM 여유가 부족하면 콜드로드에 실패하며 소형 모델/폴백으로 동작합니다. RAM 증설 후 사용을 권장합니다. +
+ )} + + {/* Ollama 계열 — 텍스트 모델 읽기 전용 표시 */} + {!isClaude && ( +
+ +
+ {ollamaTextModel || 'llama3.2:1b'} +
+

+ 온프레미스 소형 모델 — 서버 RAM 제약으로 고정. 외부 호출 없음. +

+
+ )} + + {/* 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. +

+
+
+
+ ) +}